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Molecular Oncology logoLink to Molecular Oncology
. 2023 Dec 11;18(7):1795–1813. doi: 10.1002/1878-0261.13560

Lipid metabolism in B cell biology

Rens Peeters 1,2,, Julia Jellusova 1,2
PMCID: PMC11223608  PMID: 38013654

Abstract

In recent years, the field of immunometabolism has solidified its position as a prominent area of investigation within the realm of immunological research. An expanding body of scientific literature has unveiled the intricate interplay between energy homeostasis, signalling molecules, and metabolites in relation to fundamental aspects of our immune cells. It is now widely accepted that disruptions in metabolic equilibrium can give rise to a myriad of pathological conditions, ranging from autoimmune disorders to cancer. Emerging evidence, although sometimes fragmented and anecdotal, has highlighted the indispensable role of lipids in modulating the behaviour of immune cells, including B cells. In light of these findings, this review aims to provide a comprehensive overview of the current state of knowledge regarding lipid metabolism in the context of B cell biology.

Keywords: B cell development, B cell malignancies, B cells, immunometabolism, lipid metabolism, lipid signalling


Lipids play a diverse but important role in B cell biology. They serve as fuel for energy production, affect transcription factors and epi‐genetic modifications, and are important for signalling and in post‐translational protein modifications. In this review, we summarize the current knowledge on lipid metabolism in B cells throughout development and during malignant transformation.

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Abbreviations

AA

arachidonic acid

ACC

acetyl‐CoA carboxylase

ACLY

ATP citrate lyase

ACSL1

acetyl‐CoA synthetase long chain family member 1

ADP

adenosine diphosphate

ATP

adenosine triphosphate

BCR

B cell receptor

BL

Burkitt lymphoma

CiC

citrate carrier

CLL

chronic lymphocytic leukaemia

CoA

coenzyme A

CPT1/2

carnitine palmitoyl transferase 1/2

DAG

diacylglycerol

DHA

docosahexaenoic acid

DLBCL

diffuse‐large B cell lymphoma

DZ

dark zone

EBV

Epstein–Barr virus

EPA

eicosapentaenoic acid

ER

endoplasmatic reticulum

ETC

electron transport chain

FA

fatty acid

FABP

fatty acid binding protein

FADH2

flavine‐adenine‐dinucleotide

FAO

fatty acid oxidation

FASN

fatty acid synthase

FATP

fatty acid transporter protein

FPP

farnesyl pyrophosphate

G3P

glyceraldehyde 3‐phosphate

GC

germinal centre

GGPP

geranylgeranyl diphosphate

GLUT1

glucose transporter 1

GSK3

glycogen synthase kinase 3

HDAC

histone deacetylase

HGAL

human germinal centre‐associated lymphoma

HIF1a

hypoxia‐inducible factor 1a

HMG‐CoA

hydroxy‐3‐methylglutaryl‐CoA

IP3

inositol triphosphate

LCFA

long‐chain fatty acid

LPL

lipoprotein lipase

LXR

liver X receptor

LZ

light zone

MAG

monoacylglycerol

MCFA

medium‐chain fatty acid

mTOR

mammalian target of rapamycin

MUFA

monounsaturated fatty acid

MZ

marginal zone

NADH

nicotinamide adenine dinucleotide

NADPH

nicotinamide adenine dinucleotide phosphate

OA

oleic acid

OxPhos

oxidative phosphorylation

PA

palmitic acid

PC

plasma cell

PI3K

phosphoinositide 3‐kinase

PIP2

phosphatidylinositol 4,5‐bisphosphate

PIP3

phosphatidylinositol (3,4,5)‐trisphosphate

PKC

protein kinase C

PLC

phospholipase c

PO

palmitoleic acid

PS

phosphatidylserine

PUFA

polyunsaturated fatty acid

ROS

reactive oxygen species

SCD

stearoyl‐CoA desaturase

SCFA

short‐chain fatty acid

SFA

saturated fatty acid

SHM

somatic hypermutations

TAG

triacylglycerol

TCA

tricarboxylic acid

VLCFA

very‐long‐chain fatty acid

1. Introduction

Recent years have brought a growing appreciation of how metabolism shapes immune cell activity. Considering the remarkable mobility and functional heterogeneity of immune cells, it is perhaps not surprising that these cells require a high level of metabolic flexibility unmatched by other, less dynamic types of cells. Within seconds, an immune cell has to be able to switch from relative quiescence to a highly activated state. The metabolic program is rapidly altered to support the cells' new function. Initial metabolic adaptations can occur within minutes of stimulation [1] and dynamically support different phases of activation, cell cycle progression and differentiation [2]. Moreover, immune cells inhabit a variety of niches which can profoundly differ in their metabolic composition, thereby shaping cellular metabolic programs.

B cells, together with T cells provide the immune system with specific recognition and a tailor‐made response to virtually every pathogen [3]. To accomplish this task, B cells go through several phases of gene rearrangements, mutations [4], selection [5, 6], proliferative expansion [7] and relative quiescence [8] during their life span. B cells are characterized by a semi‐nomadic life and can be found in metabolically heterogeneous environments such as the spleen, bone marrow, gut, peritoneal cavity and blood. For these reasons, metabolic demands of various B cell subsets differ substantially [9]. Aberrant control of metabolic fate has been associated with a plethora of B cell‐derived pathologies ranging from autoimmunity [10, 11] to B cell malignancies [12, 13, 14]. Other great reviews [9, 15, 16] have covered our general knowledge on the metabolic regulation in normal and aberrant B cells and highlighted not only the importance of metabolic reprogramming to meet energetic and biosynthetic needs of different B cell subsets, but have also underscored the diverse spectrum of roles metabolites can play outside of bioenergetics. However, the major focus in the field of B cell metabolism to date has been on glucose metabolism, with less attention being paid to other metabolites. Lipids not only play an important role in bioenergetics but can also shape cell signalling. Here, we summarize what is currently known about the role of lipids in different B cell subsets and discuss outstanding challenges and possible future directions in the field.

2. Lipid metabolism

Lipid metabolism refers to the biochemical processes involved in the synthesis, breakdown, and utilization of lipids (fats) within an organism or within a cell. Lipids form the structural components of cell membranes, can function as signalling molecules, have a role in redox balance and are the main contributors to long‐term energy storage (Fig. 1). Lipid metabolism is crucial for both B and T cells in adaptive immunity [17]. B cells rely on lipids for membrane synthesis, especially phospholipids, and lipid rafts play a role in signalling and antibody production during activation. T cells, undergoing metabolic reprogramming upon activation, prioritize glycolysis over oxidative phosphorylation (OxPhos) [18]. While both cell types utilize lipids for membrane structure and signalling, their specific metabolic profiles differ, reflecting their distinct roles in humoral and cell‐mediated immunity, respectively [19]. In the next section, we outline these different lipid species and what role they play in B cell biology.

Fig. 1.

Fig. 1

Overview of the different lipid classes and their roles in B cells. SFA, MUFA, and PUFA are used in energy (ATP) generation via FAO in mitochondria. Breakdown products of FAO fuel the TCA cycle. TCA intermediates can be used for protein modifications and epigenetic modifications. The FAs can also be processed for storage in lipid droplets. This happens by linking the FAs to a glycerol backbone, creating monoacylglycerol (MAG), diacylglycerol (DAG) and TAG. Reverse reactions can also free up fatty acids from TAG to fuel mitochondrial FAO again. Phospholipids, sphingolipids and sterols such as cholesterol are lipids with more complex head‐groups and are important membrane integrity and fluidity. They can form lipid rafts or can be modified, thereby aiding communication by facilitating signalling domains or via second messengers. Green arrows: Lipids involved in energy homeostasis. Orange arrows: Lipids involved in storage. Magenta arrows: Lipids involved in structure. Blue arrows: Lipids involved in communication.

2.1. Lipid classes

The term lipid refers to a diverse group of organic molecules which are loosely characterized by their insolubility in water. Some of the main classes of lipids relevant to B cell biology are:

  1. Fatty acids: Fatty acids (FAs) consist of varying lengths of hydrocarbons with a carboxyl group at one end (Fig. 1). According to their length, FAs can be classified into short‐chain fatty acids (SCFA), medium‐chain fatty acids (MCFA), long‐chain fatty acids (LCFA), and very long chain fatty acids (VLCFA).

    Fatty acids can be saturated, meaning there are no double bonds within the carbohydrate chain, or unsaturated, which harbour one or more double bonds within the carbohydrate chain. Polyunsaturated fatty acids (PUFAs) with two or more double bonds such as arachidonic acid, eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) have two main roles: as precursors of signalling molecules and as building blocks of membrane lipids. PUFAs can also give rise to lipid mediators such as lipoxins, resolvins, protectins, and maresins which play a role in the resolution phase of inflammation [20] and have been reported to enhance B cell differentiation to plasma cells (PCs) [21]. Monounsaturated fatty acids (MUFAs) such as oleic acid (OA) and palmitoleic acid (PO) have been reported to support mitochondrial metabolism and mammalian Target of Rapamycin C1 (mTORC1) activity in B cells [22]. In general, FAs serve in energy production or as precursors for more complex lipids but can also affect cell signalling via post‐translational protein modifications or by altering enzyme activity.

  2. Phospholipids: Phospholipids are a major component of cell membranes (Fig. 1). They consist of a glycerol molecule bonded to two FAs and a phosphate group. The amphipathic nature of phospholipids allows them to form a lipid bilayer, serving as the structural foundation of cell membranes. It is important to note that the exact composition of phospholipids can alter physical properties of plasma membranes. PUFAs in glycerophospholipids display a higher structural plasticity and increase membrane fluidity in comparison to saturated fatty acids (SFAs) or MUFAs [23]. Additionally, phospholipids are essential for the formation of lipid rafts, specialized membrane domains crucial for B cell signalling. Moreover, phospholipid headgroups modulate downstream pathways, affecting calcium signalling and protein kinase C (PKC) activation [24]. As B cells undergo development, activation, and antibody production, the synthesis and regulation of phospholipids play a central role in supporting these dynamic processes and ensuring the overall functionality of B cells in the immune response.

  3. Sphingolipids: Sphingolipids are another component of cell membranes (Fig. 1). They are characterized and named after their sphingoid base backbone; an amino alcohol. They can be involved in many cellular functions such as signalling, adhesion, apoptosis, survival and inflammation [25]. Sphingolipids play a crucial role in various aspects of the immune system, including in B cell biology [26]. They contribute to the structure and fluidity of B cell membranes, play a key role in the formation of lipid rafts, and are integral to B cell receptor (BCR) signalling pathways [27]. Sphingolipids influence cell survival, apoptosis, and immunological synapse formation during interactions with other immune cells. Additionally, they participate in antigen presentation, impacting the efficiency of B cell responses [28]. In germinal centres (GCs), sphingolipids likely regulate signalling cascades affecting B cell selection and differentiation. Sphingosine‐1‐phosphate (S1P), a sphingolipid, guides B cell migration within lymphoid organs [29].

  4. Glycolipids: Glycolipids are lipids that have a carbohydrate group attached to them. They are present on the outer surface of cell membranes and are involved in cell recognition and cell signalling. Glycolipids play important roles in processes like cell adhesion, immune response, and cell–cell communication [30]. The presence and regulation of glycolipids are integral to the dynamic processes of B cell activation, differentiation, and their participation in immune functions.

  5. Steroids: Steroids are lipids characterized by a structure of four fused carbon rings (Fig. 1). Cholesterol is a well‐known steroid that plays a crucial role in cell membranes by restricting their fluidity and stability. Steroids are also precursors for many different signalling molecules [31]. Glucocorticoid steroids, such as cortisol, can have immunosuppressive effects on B cells. They inhibit the proliferation of B cells and suppress the production of antibodies [32, 33]. This immunosuppressive action is often utilized in therapeutic settings to dampen immune responses, as seen in the use of corticosteroids to treat autoimmune conditions or to manage inflammatory responses [34]. While steroids can impact B cell function, their effects are broad, affecting various aspects of the immune system [35].

  6. Triacylglycerols: Triacylglycerols (TAG), also known as triglycerides, are a primary form of energy storage in cells (Fig. 1). They consist of glycerol bonded to three FAs. TAGs are stored in specialized organelles called lipid droplets and can be broken down when energy is needed, providing a concentrated and flexible source of fuel for cellular processes. This dynamic regulation of TAG metabolism provides B cells with the necessary energy substrates for their metabolic needs during immune responses, contributing to the overall functionality of B cells [36, 37].

  7. Immunoxysterols: Immunoxysterols are a class of molecules derived from cholesterol metabolism that play a role in immune regulation. The term specifically refers to oxidized derivatives of cholesterol, known as oxysterols. Oxysterols are formed through enzymatic or non‐enzymatic oxidation of cholesterol, and they act as signalling molecules that influence various aspects of the immune system. Research suggests that oxysterols may influence B cell functions such as migration, proliferation, differentiation into antibody‐secreting cells, and antibody class switching [38, 39]. Oxysterols can act as ligands for certain nuclear receptors, including the liver X receptors (LXRs), which are involved in the regulation of cholesterol metabolism and immune responses [40].

2.2. Fatty acid uptake and metabolism

Most lipids can be synthesized directly (TAGs, phospholipids) or indirectly (sterols, via acetyl‐CoA) from FAs. As such, FAs play a crucial role in adaptive immunity by serving as essential components for various cellular processes in immune cells. These lipids are fundamental for energy production, membrane structure, and signalling pathways during the activation and function of immune cells, particularly B and T lymphocytes. The dynamic regulation of FA metabolism is vital for supporting the increased energy demands and biosynthetic requirements associated with the rapid proliferation, differentiation, and effector functions of immune cells during adaptive immune responses. Another recent review has expertly highlighted the similarities and differences between B and T in FA utilization [17]. In this section, we summarize our current knowledge on FA utilization in B cells.

Short‐chain fatty acids such as acetate, propionate and butyrate are primarily produced by commensal microbiota [41]. They can be taken up by specialized SCFA transporters on B cells such as monocarboxylate transporter 1 (MCT1) [13, 42] and enter the cytosol (Fig. 2). Similarly, LCFAs are obtained from dietary sources, but some can be synthesized de novo [43]. Cellular uptake is facilitated by the scavenger receptor CD36 aided by small intracellular lipid chaperones called fatty acid‐binding proteins (FABPs) [44]. Fatty acids can also be taken up via other transporters such as fatty acid transporter proteins (FATPs) (Fig. 2) [45]; however, their expression pattern and exact role in B cells are currently poorly understood. Once inside the cytosol, SCFAs and LCFAs become activated by means of co‐enzyme A (CoA) addition (Fig. 2) [46]. This step is required for further processing of the FAs. Consensus is lacking on whether this activation step is an intrinsic function of some of the transporter proteins or whether specialized acyl‐CoA synthases such as ACSL1 must always be present (Fig. 2). Overexpression of ACSL1 has been shown to drive increased fatty acid oxidation (FAO), thus supporting the latter scenario [47]. Moreover, inhibition of ACSL1 in macrophages results in a marked reduction of CD36 expression, reinforcing the notion that the activation and uptake are separate processes, yet intricately related to each other [47, 48].

Fig. 2.

Fig. 2

Overview of metabolic pathways involved in B cell lipid and energy homeostasis. SCFA and LCFA are taken up by B cells via specific transporters. SCFAs are taken up via MCT1. LCFAs are taken up in a variety of ways, by scavenger receptor CD36, FABPs and FATPs. FATP1 is inhibited by tetraspanin CD37, whereas mechanisms of inhibition of the other transporters remain elusive. Once inside, the fatty acids are activated by means of coenzyme A (CoA) tethering, executed by acetyl‐CoA synthase 1 (ACSL1). Activated fatty acids (FA‐CoA) can be transported into the mitochondria via carnitine palmitoyl‐transferase 1a (CPT1a). Here, the FAs are broken down in an enzymatic cyclical cascade called FAO or ß‐oxidation. Resulting metabolites nicotinamide‐adenine‐dinucleotide (NADH) and flavin adenine dinucleotide (FADH2) can be oxidized by the ETC in order to synthesize ATP. Moreover, two‐carbon acetyl‐CoA is used in the TCA cycle to generate intermediates, and more NADH and FADH2. Alternatively, citrate can be formed by combining acetyl‐CoA and oxaloacetate by citrate synthase. The resulting citrate can be carried into the cytosol by CIC. Here ACLY can free up acetyl‐CoA again from the metabolite. ACC1 can subsequently activate this into malonyl‐CoA, the precursor for fatty acid synthesis by FAS. Three newly produced LCFAs can be conjugated to the carbohydrate G3P in order to form TAGs. These can then be stored in specialized organelles called lipid droplets. More complex branched‐chain fatty acids are first simplified in peroxisomes, releasing acyl‐CoAs for further use. Whenever needed, acyl‐CoAs can be freed‐up from lipid droplets.

To overcome the LCFA‐impermeable mitochondrial membrane, transport of activated LCFAs from the cytosol to the mitochondria is dependent on the carnitine shuttle system composed of carnitine‐palmitoyl transferase 1 and 2 (CPT1 and CPT2) and carnitine‐acylcarnitine translocase. SCFAs can enter the mitochondria independently of the carnitine system [49]. During FAO high‐energy molecules such as NADH and FADH2 are produced via a cyclic series of enzymatic reactions known as FAO or ß‐oxidation, with the ‘ß’ referring to the second‐to‐last carbon atom of the acyl‐chain which is cleaved off in each cyclic step. The resulting two‐carbon molecule, mitochondrial acetyl‐CoA, can subsequently enter the citric acid cycle (also known as the Krebs cycle or tricarboxylic acid, TCA cycle) to generate TCA intermediates and energy in the form of adenosine triphosphate (ATP) [50].

B cells can also synthesize lipids de novo in a process known as lipogenesis. FA synthesis starts within the mitochondria by Citrate Synthases combining acetyl‐CoA moieties and oxaloacetate into citrate (Fig. 2). Mitochondrial citrate carriers (CICs) can transport the citrate from the mitochondrial matrix into the cytosol. Here, ATP citrate lyase (ACLY) splits it back into oxaloacetate and acetyl‐CoA [51]. It might seem odd that acetyl‐CoA is not transported directly, but the non‐depolarized mitochondrial membrane is impermeable to acetyl‐moieties, although non‐specific release of acetyl‐CoA via “permeability transition pore complexes” has been observed before and warrants further investigation [52]. Mitochondrial membrane impermeability for acetyl‐CoA allows for spatiotemporal separation of inherently different processes using the same metabolite. The cytosolic acetyl‐CoA is a two‐carbon moiety that has to be activated in order to be elongated into a LCFA. This irreversible activation step is carried out by an enzyme called acetyl‐CoA carboxylase (ACC1), which combines bicarbonate with acetyl‐CoA at the cost of one ATP into malonyl‐CoA (Fig. 2) [53]. A dimerized multi‐unit protein complex containing seven catalytic domains, collectively known as the fatty acid synthase (FAS), uses malonyl‐CoA to elongate acetyl‐CoA in condensation steps of two carbons. This cyclical elongation continues at the cost of NADPH until there is a 16‐carbon acyl‐chain known as palmitic acid (PA). Acylation of glycerol‐3‐phosphate (G3P, generated via glycolysis) with three individual chains of PA results in TAGs, the main lipid species used for storage in lipid droplets (Fig. 2) [54]. When energy demands increase, stored triglycerides are hydrolysed, releasing FAs to meet the energy requirements of the cell, thereby providing great metabolic flexibility to the B cell [55]. Intermediates of the TAG synthesis or breakdown cascades may serve as activators or inhibitors of signalling pathways controlled by peroxisome proliferator‐activated receptor‐γ (PPARγ), the mTOR, or PKC isoforms, all important players in B cell biology [56, 57, 58]. Alternative to mitochondrial processing, FAs can also be oxidized in peroxisomes to generate acyl‐CoA or acetyl‐CoA without ATP generation. Peroxisomes primarily process more complex FAs such as VLCFAs (22 carbons or longer) or mono/poly‐branched FAs [59]. This process is believed to free up relatively simple acyl‐CoAs for the mitochondria, which can in turn use these to generate TCA intermediates or energy [60].

3. Lipids in B cell signalling

Lipids profoundly impact B cell signalling through direct roles as signalling molecules and indirect modulation of cellular processes. As signalling molecules, lipids can directly engage receptors and activate intracellular pathways. Indirectly, they influence membrane fluidity and lipid rafts, crucial for BCR signalling, and affect transcription by participating in intricate regulatory networks.

3.1. Lipids as signalling molecules

Specific lipids such as phosphatidylinositol phosphates recruit signalling proteins with lipid‐binding domains to the plasma membrane. For example, the kinase Akt harbours a pleckstrin homology domain which binds to phosphatidylinositol 3,4,5‐triphosphate (PIP3) in order to induce downstream signalling (Fig. 3). Lipids are also incorporated into signalling pathways and act as second messengers. For instance, the hydrolysis of PIP2 into IP3 and DAG is a central event of BCR induced signalling and necessary to promote calcium release from the endoplasmic reticulum (ER; Fig. 3). The resulting calcium release allows PKC to bind to, and be activated by DAG [61, 62], which in turn has been shown to dictate B cell fate via metabolic reprogramming [63]. Furthermore, sphingolipids such as sphingosine‐1‐phosphate (S1P) can directly activate specific G protein coupled receptors, whose downstream signalling in turn affect lymphocyte migration, inflammation and survival [64]. Moreover, eicosanoids like prostaglandins, leukotrienes and thromboxanes have been reported to directly affect the inflammatory status of lymphocytes [65].

Fig. 3.

Fig. 3

Overview of lipids involved in B cell signalling pathways. Membrane proteins CD19 and CD21 are brought in proximity to the BCR by tetraspanin CD81 via lipid rafts containing cholesterol and phospholipids upon antigen recognition. This allows tyrosine‐protein kinase Syk to activate PI3K, which phosphorylates PIP2 into PIP3. PIP3 recruits and activates protein kinase B (Akt). PIP2 can be cleaved by phospholipase C (PLC) into diacylglycerol (DAG) and inositol 1,4,5‐triphosphate (IP3) [61, 62]. IP3 binds to calcium channels on the ER to release calcium (Ca2+). Both the freed DAG and the released calcium activate PKC [61, 62]. Ultimately, activation of these signalling pathways leads to translocation of transcription factors such as NFAT, FOXO and NF‐κB. Moreover, PKC signalling induces mitochondrial remodelling and prepares the B cells for PC differentiation [63]. In the mitochondria, FAO provides acetyl‐CoA for the TCA cycle. TCA intermediates succinate and fumarate inhibit histone demethylation [69]. TCA intermediate citrate is used to generate cytosolic acetyl‐CoA, which can be used to synthesize butyrate, which potentially inhibits histone deacetylation (HDAC), or is directly used for histone acetylation. Alternatively, cytosolic acetyl‐CoA is used to synthesize either 3‐hydroxy‐3‐methylglutaryl‐CoA (HMG‐CoA) or malonyl‐CoA. The former is an intermediate in the mevalonate pathway, which produces FPP as precursor for either cholesterol or GGPP, which in turn modulates activity of Ras, Rac and RhoGTPases. Malonyl‐CoA is a precursor for fatty acid palmitate synthesis, which in turn can be desaturated into MUFAs or PUFAs which affect mTORC1 signalling or ferroptosis respectively. Alternatively, palmitate is used for palmitoylation of proteins CD81 or human germinal centre‐associated lymphoma (HGAL), thereby increasing their activity.

3.2. Lipids as membrane modulators

Lipids play an important role not only in cellular bioenergetics, but can also shape cell fate decisions by modulating cell signalling by altering membrane composition (Fig. 3). Upon activation, B cells profoundly alter the composition, distribution and dynamics of membrane lipids [27, 66]. These changes determine how signals from cell surface receptors are transmitted. The plasma membrane contains various lipid molecules, which form dynamic microdomains and act as signalling platforms. The so‐called lipid rafts, rich in cholesterol and glycosphingolipids, play an important role in BCR activation and its interaction with co‐receptors [27, 28, 66]. Lipid rafts can facilitate proximation of signalling molecules in so‐called nanoclusters, thereby enhancing their downstream signal transduction [67]. Interestingly, cholesterol content of the plasma membrane changes during B cell maturation. Unlike mature B cells, transitional immature B cells display relatively low levels of cholesterol resulting in impaired compartmentalization of the BCR into cholesterol‐enriched domains upon BCR engagement. This reduces their ability to sustain certain aspects of BCR signalling [68].

3.3. Lipids in (epi‐)genetic regulation

Downstream of the lipid signalling pathways via PIP3 and Ca2+, transcription factors like Nuclear Factor of Activated T cells (NFAT), Forkhead Box O (FOXO) and Nuclear Factor‐kappa B (NF‐κB) are primed to translocate to (NFAT and NF‐κB) or away from the nucleus (FOXO). These transcription factors regulate the transcription of genes affecting B cell activation, response to antigen, proliferation, cell cycle arrest, class switch recombination, somatic hypermutations (SHMs) and affinity maturation (Fig. 3) [70, 71, 72]. Lipids can also affect cell fate on the level of epigenetic modulation. FAO‐derived acetyl‐CoA can be used as a substrate for histone acetyltransferases to promote histone acetylation [73]. Histone acetylation is a common epigenetic modification, that alters chromatin architecture and thereby gene expression. In addition to shaping substrate availability for epigenetic modifications, FAs can also regulate the activity of enzymes involved in epigenetic reprograming. SCFAs such as butyrate have been shown to inhibit the activity of histone deacetylases (HDACs) (Fig. 3) [74]. Two partially conflicting studies report on the effect of SCFAs in B cell chromatin remodelling and function. One study suggests that SCFAs boost B cell metabolism but also suppress HDAC activity and induce expression of genes necessary for PC differentiation [75]. The second study proposes the opposite‐ a reduction of PC differentiation upon SCFAs feeding [76]. The authors of the latter study argue that the SCFA concentration used in experiments strongly impacts functional outcome and low vs high concentrations of SCFAs can result in opposing phenotypes.

3.4. Lipids in post‐translational protein modification

Lipids can also affect cell signalling via post‐translational protein modification. Certain lipid metabolites can be post‐translationally attached to proteins to alter protein stability, or localization to specific cellular compartments or membrane subdomains. Post‐translational modifications which include lipids are for example protein prenylation, palmitoylation and myristoylation [77]. Protein S Acylation (or S‐palmitoylation, in this text referred to as palmitoylation) is a common and reversible type of post‐translational protein modification in which LCFAs are covalently linked to cysteine thiol residues in proteins. Different important receptors and signalling proteins in B cells have been identified to be palmitoylated including CD20, CD23 [78], CD81 [79], Fas [80] and HGAL (Fig. 3) [81]. While our knowledge on the functional implications of protein palmitoylation in B cells is currently limited, initial studies have revealed that this type of modification can affect different aspects of B cell function. To illustrate, the palmitoylation of CD81, which is a tetraspanin stabilizing the BCR co‐receptor complex consisting of CD21 and CD19 is palmitoylated. CD81 palmitoylation is necessary for increased BCR‐coreceptor lipid raft association thereby promoting its signalling function [82]. HGAL, which is specifically expressed in normal GC B cells and lymphoma cells derived from the GC, can be myristoylated and palmitoylated. These modifications localize HGAL to raft microdomains and shape BCR signalling by facilitating interaction with SYK (Fig. 3) [83].

Fas palmitoylation has been shown to increase apoptosis. Interestingly, stabilization of HIF1α, a transcription factor central to cellular responses to hypoxia, has been demonstrated to trigger reductive glutamine metabolism and increased Fas palmitoylation [80]. This finding has potential implications for Fas signalling within the GC, as GCs have been reported to harbour hypoxic regions [84].

Altered protein palmitoylation can also be associated with aberrant B cells. For example, palmitoylation of the pro‐apoptotic protein BAX has been found to be reduced in Hodgkin lymphoma B cell lines in comparison to control B cells and correlated with reduced BAX activity [79].

Finally, isoprenoid modifications such as the geranylgeranylation or farnesylation affect the subcellular localization and function of the modified protein. The mevalonate pathway is needed for the generation of isoprenoids, cholesterol and cholesterol derivates [85]. This metabolic pathway requires several key enzymes including HMG‐CoA reductase (HMGCR). In this pathway, mevalonate is synthesized from HMG‐CoA which itself originates from acetyl‐CoA (Fig. 3) [86]. Further processing leads to the generation of farnesyl pyrophosphate (FPP) which is converted to geranyl‐geranyl pyrophosphate (GGPP) or cholesterol. The final products of this pathway, GGPPs, are post‐translational lipid modifications that can alter the activity of important proteins such as the Ras superfamily of small GTPases and as such regulate core cell functions (Fig. 3) [87]. Regulatory B cells, important for restricting inflammatory responses, have been reported to depend largely on GGPPs to drive IL‐10 production through the PI3K‐AKT‐GSK3 axis [88]. Farnesylation occurs by adding a 15‐carbon hydrophobic farnesyl isoprenoid to cysteine residues at the C‐terminus of target proteins such as the GTPases H‐Ras, K‐Ras and N‐Ras. The modification allows the GTPases to anchor to the cell membrane, thereby allowing them to interact with membrane‐associated signalling complexes.

3.5. Lipids in redox signalling

Lastly, when considering how lipid metabolism affects B cell fate, it should be noted that lipid catabolism can affect redox balance. Accumulation of certain lipids can induce toxicity and lipid peroxidation is a central step of ferroptosis; an iron‐dependent oxidative form of cell death also reported to be important in B cells [89, 90]. Of note, phospholipids containing PUFAs are vulnerable to peroxidation and thus play an important role in ferroptosis execution (Fig. 3). In contrast, MUFAs are less likely to be oxidized, and incorporation of MUFAs into membrane phospholipids therefore suppress ferroptosis [91].

4. Lipids throughout B cell development, differentiation and function

During B cell development and differentiation, B cells display different metabolic requirements perhaps reflecting their level or proliferation, protein secretion, their ability to recycle nutrients via autophagy as well as their localization in metabolically heterogeneous niches. Two highly proliferative B cell subsets exist: B cell precursors (pro‐ and pre‐B cells) and GC B cells. In early stages of B cell development, B cell precursors undergo several rounds of proliferation to increase the population of cells with a functional pre BCR. Similarly, upon stimulation with cognate antigen, activated mature B cells differentiate to GC B cells and proliferate to increase the number of B cell clones able to recognize the invading pathogen. During the humoral immune response, B cells differentiate to PCs, which secrete large quantities of antibodies. Their increased need for protein folding capacity results in a dramatic expansion of the ER network. As discussed above, lipids can play a role as a source of energy, biosynthetic precursor molecules but also affect cell signalling. In the next paragraphs we will focus on different B cell subsets, their general metabolic profiles and the current knowledge on the specific roles of lipids.

4.1. Metabolic fate of the early B cell developmental stages

B cells develop from hematopoietic stem cells in the bone marrow and undergo discrete developmental steps during which the immunoglobulin (Ig) heavy‐ and light‐chain loci are sequentially rearranged. Proliferation in early B cell precursors is driven by the IL‐7 receptor and later on by the pre‐BCR, which consists of the rearranged heavy chain and the surrogate light chain [92, 93]. Reportedly, both glycolytic and mitochondrial activity help maintain the highly proliferative character of pre‐B cells receiving optimal signals from their pre‐BCR (Fig. 4) [5, 10, 15, 22, 92, 94, 95]. Little is known about the role lipid metabolism plays in B cell precursors. Loss of peroxisome function in the absence of peroxisomal biogenesis factor 5 (PEX5) does not interfere with early B cell development [96], suggesting that peroxisome dependent FAO is not central to early B cell development. Similarly, mature B cell numbers are unaltered in CD36−/− mice [97]. Lastly, cell intrinsic generation of MUFAs is not essential for B cell development. To generate MUFAs, SFAs are converted by stearoyl‐CoA desaturase (SCD). Although systemic SCD inhibition impinges on B cell development, mice deficient for SCD1 and SCD2 do not display defects in B cell development suggesting that cell intrinsic generation of MUFAs is not required for B cell development [22].

Fig. 4.

Fig. 4

Overview of lipid‐metabolism associated factors in B cell development and malignancies. Throughout the different phases of a B cells life, several proteins and metabolites important for lipid metabolism and homeostasis are involved in maturation, differentiation, and malignant transformation. Initial maturation (Blue segment) of B cells seems to rely mostly on glycolysis and mitochondrial activity, with no major roles for lipids reported. The more innate like MZ‐B and B1 B cells, as well as PCs (Green segment) have been reported to actively take up and process exogenous lipids, which is important for their survival. Activated GC B cells (Yellow segment) seem to require various metabolites including glucose, amino acid and lipids. The exact role for lipids remains ambiguous, yet several reports hint at their importance for GC B cells. Alterations in B cells allowing them to excessively employ lipid metabolism are associated with multiple B cell malignancies (Magenta segment). Abbreviations from top left to bottom right: GPX4: glutathione peroxidase 4, PEX5: peroxisomal biogenesis factor 5, SCD1/2: steraoyl‐CoA desaturase, MZ: marginal zone, FA: fatty acid, Acaca: acetyl‐CoA carboxylase 1, Elovl1/5/6: elongation of very long chain fatty acids protein, Fasn: fatty acid synthase, LDHA: lactate dehydrogenase a, FAS: fatty acid synthesis, SLC1A5/7A5: solute carrier, Cox10: cytochrome C oxidase assembly factor haem A:Farnesyltransferase, CPT1/2: carnitine palmitoyl transferase, ACLY: ATP citrate synthase, OA: oleic acid, LZ: light zone, GC: germinal centre, DZ: dark zone, EBV: Epstein–Barr Virus, LPM1: latent membrane protein 1, GGPP: geranylgeranyl pyrophosphate, FFA: free fatty acid, LPL: lipoprotein lipase, ACC: acetyl‐CoA carboxylase, TAG: triacylglycerol, FATP1: fatty acid transporter protein 1, BL: Burkitt lymphoma, CLL: chronic lymphocytic leukaemia, DLBCL: diffuse‐large B cell lymphoma.

However, since different means of FA uptake exist, it remains unclear whether B cell precursors require external lipids and whether these lipids are used for energy generation or are incorporated into other pathways intracellularly. Similarly, while it is to be expected that proliferating B cell precursors need to generate lipids for membrane synthesis the exact regulation of this process in B cell precursors is currently unknown.

4.2. The uncharted metabolic phenotype of mature B cells

Limited knowledge exists regarding the metabolic characteristics of naïve mature B cells. However, it is currently believed that circulating and resting splenic B cells are relatively metabolically quiescent [11] until they undergo activation, at which point mitochondrial and glycolytic activities are upregulated [11, 98]. Interestingly, after activation both an increase in mitochondrial activity and a remodelling of mitochondrial networks have been observed [99]. Mature B cell numbers are not significantly affected by CD36 loss, SCD deletion or PEX5 deficiency suggesting that aspects of lipid metabolism governed by these molecules are not essential to maintain a normal pool of mature B cells (Fig. 4).

In contrast to the majority of mature B cells (also called B2 cells or follicular B cells) innate‐like mature B cell subsets such as marginal zone (MZ) B cells and B1a cells have been shown to be more dependent on lipid metabolism [96]. MZ B cells are a distinct population of mature B cells that resides in the MZ of the spleen and can mount a rapid response to common blood‐borne pathogens without the need for T cell help [100]. Consistent with their ability to quickly respond to stimulation, MZ B cells display an increase in glucose uptake, lactate production and glucose‐derived ATP in comparison to follicular B cells. In addition to an increase in glucose metabolism, MZ B cells also express higher levels of CD36 and take up more lipids than follicular B cells. Consistent with FA metabolism playing an important role in this B cell lineage, MZ numbers are slightly reduced in CD36‐deficient mice as well as in the absence of functional peroxisomes in PEX5‐deficient mice (Fig. 4) [96]. Of note, unlike follicular B cells, MZ B cells require glutathione peroxidase 4 (GPX4) for their survival [89]. GPX4 is a phospholipid hydroxiperoxidase that protects cells from ferroptosis by converting toxic lipid‐associated hydroperoxides to harmless organic alcohols. Thus, an increased rate of lipid uptake might render MZ B cells more prone to ferroptosis and rescue mechanisms need to be in place to prevent cell death.

Similar to MZ B cells, B1a cells in mice represent a distinct B cell lineage with innate‐like properties [101]. B1a cells primarily reside in the lipid‐rich peritoneal cavity and display a BCR‐ repertoire skewed towards common pathogens (Fig. 4). B1a cells are the main producers of the so‐called natural antibodies which are generated even before an infection occurs and provide a first line of protection [102]. B1a cells are large, long‐lived, continuously produce antibodies and maintain their cell numbers by low levels of proliferation [103]. Consistent with their partially activated phenotype, these cells show higher levels of glycolysis as well as OxPhos than resting mature B cells [104]. Unlike B2 cells, B1a cells actively acquire exogenous lipids for storage. Notably, B1a cells display enhanced citrate production under high‐glucose conditions, suggesting that de novo lipogenesis is active in these cells alongside uptake of exogenous lipids. Similar to MZ B cells, B1a cell numbers are reduced in the absence of PEX5 and GPX4 [89]. B1a B cells are also highly susceptible to FASN inhibitor C75 [104]. Collectively, these findings indicate that lipid metabolism is intricately connected to the overall fitness and self‐renewal potential of B1a B cells. In summary, B cell subsets with a “pre‐activated” phenotype appear to more readily engage in lipid uptake and processing.

4.3. The metabolic landscape of the germinal centre B cell

Upon encountering antigens, B cells can undergo T cell‐dependent or independent activation, inducing proliferation and ultimately differentiation into antibody producing PCs.

B cell activation in vitro results in an increase in both lactate secretion as well as oxygen consumption [11]. Moreover, activated B cells increase the expression of genes encoding major mediators of FA biosynthesis such as Acaca, Elovl1, Elovl5, Elovl6, Fasn, and Scd2 (Fig. 4) [105]. FA synthesis is fuelled by glucose acquired from the extracellular space. Inhibition of ACLY, the enzyme which converts mitochondria‐derived citrate to cytosolic Acetyl‐CoA, blocks B cell proliferation and differentiation to PCs suggesting that de‐novo FA synthesis is crucial for B cell expansion [106]. Interestingly, PO and OA, two main MUFAs produced by the enzyme SCD show the highest increase in their relative abundance in activated B cells [22]. In contrast, the abundance of several PUFAs seems to decrease upon activation. Inhibition of SCD has been demonstrated to reduce B cell proliferation and viability, which could be rescued by providing the cells with exogenous OA. Exogenous OA was also able to boost proliferation and class switching of normal B cells [106]. Unlike OA, PA or stearic acid (SA) were not able to promote B cell proliferation and class switch recombination [22]. These findings demonstrate that while OA synthesis is induced in activated B cells, the cells are able to take up exogenous OA as well, which in turn boosts B cell proliferation. The exact fate of the newly generated or acquired FAs is currently incompletely understood, however it has been demonstrated that OA can be oxidized via FAO and that FAO partially supports an OA‐induced boost in proliferation [22].

Lastly, FA synthesis can affect B cell fate in an indirect manner as well. OA has been shown to boost mTOR signalling thereby inhibiting autophagy. Of note, autophagy inhibition has been shown to rescue proliferation of B cells after SCD inhibition suggesting that dysregulated autophagy in response to reduced FA synthesis might negatively impact B cell proliferation [22].

In vivo, B cells responding to a peptide antigen seek T cell help and form specialized structures called GCs. GCs serve as hubs for B cell differentiation, SHM of their immunoglobulin genes, affinity‐based selection and ultimately differentiation to memory B cells and PCs [7, 107, 108]. To drive the GC response, a series of intricate cellular and molecular interactions takes place. Gradients of a specific oxysterol (7α,25‐dihydroxycholesterol, synthesized from cholesterol), have been shown to guide B cells towards the B‐T interface and aid in T cell‐dependent B cell differentiation [109]. Following the interaction with helper T cells, various signalling pathways are activated, including CD40 [110] and IL‐4R [111] induced signalling. These signalling events, along with BCR‐mediated phosphoinositide 3‐kinase (PI3K)/Akt activation and subsequent mTORC1 signalling, trigger metabolic reprogramming within the activated B cells. Failure to undergo substantial metabolic reprogramming impedes the normal GC response [112]. Activation through the BCR precedes increased glucose utilization via upregulation of glucose transporter 1 (GLUT1) expression [11]. Activated pre–GC B cells exhibit high levels of glucose uptake and lactate secretion [113, 114] which is again slightly reduced in fully established GC B cells. Glucose metabolism seems to be essential for a successful GC response as treating mice with the inhibitor 2DG reduces GC B cell numbers in a normal as well as an autoimmune setting [115, 116]. Interestingly, deletion of the gene encoding lactate dehydrogenase A (LDHA), an enzyme catalysing the conversion of pyruvate to lactate in resting mature B cells reduces GC formation upon immunization. However, LDHA appears to be less important in established GCs [117].

GC B cells have also been shown to depend on mitochondrial metabolism. Mitochondrial mass, as well as reactive oxygen species (ROS) production, increase when B cells differentiate to GC B cells and B cells die if mitochondrial ATP generation is inhibited with oligomycin or if the component of the electron transport chain (ETC) Cytochrome C Oxidase Assembly Factor Haem A:Farnesyltransferase (Cox10) is deleted (Fig. 4) [118]. Interestingly, the TCA cycle metabolite α‐ketoglutarate has been demonstrated to support GC B cell identity by driving Bcl6 expression [113]. Moreover, it has been suggested that mitochondrial activity is needed to support a variety of different biological processes in the GC such as redox balance, cellular motility in response to chemokine signalling and actin cytoskeleton dynamics [95] but is perhaps less important to enable proliferation and survival.

These studies demonstrate that shifts in intracellular metabolic pools not only affect energy generation and biosynthesis but can have far reaching effects on cell fate decisions.

In addition to glucose consumption, activation of B cells also leads to a significant increase in amino acid uptake mediated by solute carriers SLC7a5 (LAT1) and SLC1a5 (ASCT2), along with the necessary carrier‐stabilizing chain SLC3a2 (CD98hc) (Fig. 4) [119]. CD98hc was found to be essential for B cell proliferation during GC formation [120] however the amino acid transport function of CD98hc appears to be dispensable for B cell proliferation. Instead, CD98hc is believed to support B cell proliferation via its interaction with integrins [116].

As the GC reaction progresses, coordinated migration of T cells, B cells, and stromal cells leads to the formation of distinct regions within the GC, including the dark zone (DZ) and light zone (LZ) [7, 108]. The DZ is the site of rapid B cell proliferation and SHM to increase BCR affinity [107]. In the light zone germinal centre B cells interact with follicular dendritic cells (FDCs) and T cells and are selected based on their affinity for an antigen. GC B cells unable to recognize an antigen do not receive pro‐survival signals and die by neglect. Since DZ B cells represent the most proliferative population of B cells in the GC it would be intuitive to expect DZ B cells to display the highest levels of metabolic activity. Yet, the expression or activation of metabolic master regulators cMyc and mTORC1, which drive glucose uptake and mitochondrial generation, is restricted to a small subset of LZ‐GC B cells currently interacting with T helper cells [6, 121]. A model has been proposed in which mTOR signalling drives cell growth in the LZ, creating a reservoir of metabolites that is subsequently used up in the DZ. [121] In this manner, the extent of interaction with T cells predetermines the ability of LZ‐GC B cells to cycle in the DZ. Although the exact metabolic profile of LZ and DZ GC B cells remains incompletely understood, analysis of the transcription profile suggests that DZ‐GC B cells favour OxPhos and FAO. In contrast, LZ‐GC B cells display a more glycolytic gene expression profile [118, 122]. Consistent with this notion, LZ‐GC B cells have been found to take up more glucose than DZ‐GC B cells. Of note, OxPhos activity has been found to be increased in high affinity GC B cell clones (See Fig. 4) [118].

The role of lipid metabolism is currently poorly understood in GC B cells. GC B cells have been reported to synthesize FAs as well as to take up FAs from the environment [114]. Interestingly, FA uptake has been demonstrated to increase as the GC reaction progresses. It has been suggested that GC B cells rely on FAO for proliferation. Injection of etomoxir, a CPT1 inhibitor, together with thioridazine, an inhibitor of peroxisomal FAO slightly reduces GC B cell numbers. Similarly, CPT2‐deficient B cells are less competitive in the GC and CD36‐deficiency leads to fewer GC B cells after immunization [97, 114]. However, since CD36 has also been shown to play a role in autophagy, it remains unclear which biological processes require fatty uptake in GC B cells [123]. GC formation is not affected in the absence of PEX5 or GPX4 suggesting that lipid usage and processing might be different in GC B cells and other cells with high lipid uptake such as B1a cells and MZ B cells.

Summarizing, recent years have brought an increased understanding of how metabolism is regulated in the GC, yet many questions remain unanswered. The biological nature of the GC B cell makes it one of the more challenging cell types to study. The GC is very heterogeneous, highly dynamic, and depends on many different cells maintaining structural and organizational integrity [108]. GC B cells are primed to die and quickly lose viability ex vivo. Moreover, without the metabolic and signalling cues of the GC microenvironment, it is possible that the nature of the cells quickly changes ex vivo rendering metabolic analysis challenging. Nevertheless, combined, the discussed studies suggest that various subsets of GC B cells display different metabolic programs and that metabolites play complex roles within the GC governing not only energy homeostasis but also migration, differentiation and interaction with other cells.

4.4. Lipid metabolism in plasma cell differentiation

The final output of the humoral immune response is the generation of PCs. Once a B cell successfully differentiates into a PC, new metabolic challenges arise. PCs need to secrete large quantities of soluble antibodies, necessitating extensive lipid synthesis for the production of membrane lipids in the ER [124]. Simultaneously, antibody glycosylation consumes a significant portion of glucose, limiting its availability as an energy source for ATP production [16]. PCs can reside in different environments such as the spleen, the bone marrow and the lamina propria of the gut and can be short‐ or long‐lived [16]. Both, their localization as well as longevity can shape the respective metabolic profile of different PC subsets [125, 126]. CD28, a receptor best known for its role as a costimulatory mediator on T cells has also been found to be expressed on PCs. CD28 can modify their metabolic program and plays a critical role in their viability and long‐lived phenotype [127]. Engagement of CD28 by dendritic cells in the stromal niche of the bone marrow induces glucose uptake, mitochondrial mass expansion, and mitochondrial respiration in PCs [127]. PCs seem to be able to use FAs for energy generation as treatment with etomoxir, the inhibitor of LCFA import into the mitochondria, reduces oxygen consumption of these cells [126]. Moreover, inhibition of ACLY‐dependent lipogenesis during B cell activation limits PC differentiation [106]. Several studies report on the effect of different dietary FAs on the humoral immune response. PA has been found to boost numbers of IgA producing PCs [128]. Similarly, administration of n‐3 PUFAs has been shown to boost antibody production in vivo, and to partially restore antibody production defects upon immunization in the context of obesity [129, 130]. Different and partially contradictory effects of n‐3 PUFAs and n‐3 PUFA‐derived metabolites on B cell activation, PC differentiation and antibody secretion have been reported [21, 131, 132]. The limitation of these studies is that systemic treatment with metabolites affects other cells crucial for the immune response in addition to PCs. Similarly, these studies do not sufficiently differentiate between effects on B cell proliferation, PC differentiation and survival and therefore our understanding of lipid metabolism in PCs remains incomplete. Nevertheless, the observation that dietary fats influence the outcome of the humoral immune response warrants further investigation into the role of these metabolites in the future.

5. Lipid metabolism in B cell malignancies

A hallmark feature of cancer cells is their high intake of glucose associated with significant lactate secretion. Glucose metabolism has therefore taken centre stage in many studies focusing on metabolic reprogramming in malignant B cells [133, 134]. However recent work has highlighted the importance of lipid metabolism and revealed new and unexpected roles for lipids in governing survival and proliferation of malignant B cells (Fig. 4).

We have previously uncovered a striking connection between the loss of membrane protein tetraspanin CD37 on mature B cells and an enhanced uptake of FAs from the serum in vivo [135]. Mechanistically, CD37 inhibits fatty acid transporter 1 (FATP1) thereby reducing FA uptake. CD37‐deficient lymphoma cells are more aggressive and take up lipids which they store in lipid droplets or use for energy generation as well as biosynthesis. Interestingly, by increasing lipid metabolism, CD37 deficiency creates a metabolic vulnerability as CD37‐deficient cells are more sensitive to CPT1 inhibition than CD37 sufficient cells [135].

Remarkably, when analysing genomic data from a vast number of tumours across various cancer types, genes associated with lipid metabolism were found to be the most frequently altered, indicating their crucial role as oncogenic drivers. Specifically, an overwhelming 97.3% of the examined DLBCL tumours exhibited genetic alterations in lipid metabolism‐associated genes [136]. Moreover, FATP1 has been found to be significantly overexpressed during the malignant progression of lymphoma [137] and increased FA metabolism has been identified as a hallmark of several chemoresistant cancer types [90], including haematological malignancies [138, 139].

Epstein–Barr virus (EBV) transformed B cell malignancies are also associated with increased lipid metabolism. EBV‐induced expression of latent membrane protein 1 (LMP1) results in significant changes to the FA metabolism of Burkitt's lymphoma cell lines in vitro [140]. Notably, FA synthesis and lipid droplet formation have been found to increase and the inhibition of lipogenesis greatly diminishes cellular viability.

Interestingly, proteomics of primary human EBV infected B cells revealed that EBV seemingly highjacks the cholesterol and FA pathways of resting B cells in order to transform them into activated lymphoblasts [141]. Mechanistically, the EBV‐infected B cells reroute their mevalonate pathway towards the production of geranylgeranyl pyrophosphate (GGPP) instead of cholesterol. GGPP post‐translationally modifies several cell signalling proteins which are associated with a broad spectrum of cancers such as Ras, Rac and Rho GTPases, thereby greatly affecting their activity [142]. As such, the highjacked mevalonate pathway in EBV‐transformed B cells likely contributes to pro‐survival signalling.

Lastly, unlike in other B cell malignancies the energy supply of chronic lymphocytic leukaemia (CLL) cells depends more on OxPhos than on glycolysis. Moreover, CLL cells are characterized by increased FA utilization. Unlike normal lymphocytes, CLL cells have been found to express lipoprotein lipase (LPL) [143]. LPL catalyses the conversion of triglycerides into free FAs and is needed for the survival of CLL cells but not normal cells [143]. In addition to LPL, CLL cells show an increased expression of several proteins involved in lipid metabolism including CPT1, CPT2, FASN, ACLY, and ACC [144]. Inhibitors of FA metabolism such as CPT1 inhibitors have shown promising results in decreasing CLL cell growth or viability [145]. Similarly, inhibition of CPT1 seems to be a promising tactic against acute myeloid leukaemia [146, 147, 148], Burkitt lymphoma [149], and as mentioned before, DLBCL [135].

In summary, these findings underscore the significance of FA metabolism in the incidence, progression, and severity of B cell malignancies.

6. Conclusion and outlook

Accumulating evidence suggests that lipid metabolism plays a variety of roles in B cell fate and function. Yet many questions remain unanswered, owing perhaps to the complexity of the metabolic pathways and the broad spectrum of different lipid species. Lipids can serve as fuel for energy generation as well as building blocks for biosynthesis. Lipids can additionally affect a variety of signalling processes. A future challenge to be taken on in the field is to elucidate how the metabolic and signalling aspects of lipid function intersect. Does membrane fluidity and receptor nanocluster formation change in cells exposed to different external lipids or cells wired to engage in lipid uptake? How is lipid‐dependent post‐translational protein modification regulated in B cells? How do lipid rich microenvironments, dietary changes or obesity impact B cell fate and function? Can we exploit the correlation between lipid metabolism and B cell malignancies? Moreover, how does oxygen availability in the GC and in B cell malignancies affect their ability to utilize lipids? Hypoxia in B cell malignancies might prompt a Warburg effect, prioritizing glycolysis even in oxygenated conditions, potentially reducing reliance on FAO. However, HIF‐1α activation under low oxygen can modulate lipid metabolism genes, impacting lipid synthesis and uptake and potentially prime B cells to thrive on lipids. Lipid raft dynamics, crucial for B cell function, may be altered by changes in lipid composition during hypoxia. Challenges may arise in lipid utilization due to reduced oxygen availability for OxPhos. Answering these questions will provide further insight into how B cell fate is regulated and will allow us to explore new avenues of modulating B cell function in a therapeutic setting.

Conflict of interest

The authors declare no conflict of interest.

Author contributions

RP and JJ conceived the project and wrote and edited the manuscript. RP designed and made the figures. [Correction added on 03 April 2024, after first online publication: The Author contribution section has been included in this version.]

Acknowledgements

RP is supported by a Humboldt Research Fellowship for Postdocs from the Alexander von Humboldt Foundation. JJ's research is supported by research grants from the German Research Foundation (DFG) project number 419193696, 510573839 and 505372148 and she is a scout for the Henriette Herz Scouting Programme of the Alexander von Humboldt Foundation.

References

  • 1. Everts B, Amiel E, Huang SC, Smith AM, Chang CH, Lam WY, et al. TLR‐driven early glycolytic reprogramming via the kinases TBK1‐IKKɛ supports the anabolic demands of dendritic cell activation. Nat Immunol. 2014;15:323–332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. MacPherson S, Kilgour M, Lum JJ. Understanding lymphocyte metabolism for use in cancer immunotherapy. FEBS J. 2018;285:2567–2578. [DOI] [PubMed] [Google Scholar]
  • 3. Charles A, Janeway J, Travers P, Walport M, Shlomchik MJ. Principles of innate and adaptive immunity. 2001.
  • 4. Pilzecker B, Jacobs H. Mutating for good: DNA damage responses during somatic hypermutation. Front Immunol. 2019;10:438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Melchers F. The pre‐B‐cell receptor: selector of fitting immunoglobulin heavy chains for the B‐cell repertoire. Nat Rev Immunol. 2005;5:578–584. [DOI] [PubMed] [Google Scholar]
  • 6. Dominguez‐Sola D, Victora GD, Ying CY, Phan RT, Saito M, Nussenzweig MC, et al. The proto‐oncogene MYC is required for selection in the germinal center and cyclic reentry. Nat Immunol. 2012;13:1083–1091. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. De Silva NS, Klein U. Dynamics of B cells in germinal centres. Nat Rev Immunol. 2015;15:137–148. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Glynne R, Ghandour G, Rayner J, Mack DH, Goodnow CC. B‐lymphocyte quiescence, tolerance and activation as viewed by global gene expression profiling on microarrays. Immunol Rev. 2000;176:216–246. [DOI] [PubMed] [Google Scholar]
  • 9. Boothby M, Rickert RC. Metabolic regulation of the immune humoral response. Immunity. 2017;46:743–755. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Zouali M. Transcriptional and metabolic pre‐B cell receptor‐mediated checkpoints: implications for autoimmune diseases. Mol Immunol. 2014;62:315–320. [DOI] [PubMed] [Google Scholar]
  • 11. Caro‐Maldonado A, Wang R, Nichols AG, Kuraoka M, Milasta S, Sun LD, et al. Metabolic reprogramming is required for antibody production that is suppressed in anergic but exaggerated in chronically BAFF‐exposed B cells. J Immunol. 2014;192:3626–3636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Piccaluga PP, Weber A, Ambrosio MR, Ahmed Y, Leoncini L. Epstein–Barr virus‐induced metabolic rearrangements in human B‐cell lymphomas. Front Microbiol. 2018;9:1233. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Afonso J, Pinto T, Simões‐Sousa S, Schmitt F, Longatto‐Filho A, Pinheiro C, et al. Clinical significance of metabolism‐related biomarkers in non‐Hodgkin lymphoma – MCT1 as potential target in diffuse large B cell lymphoma. Cell Oncol. 2019;42:303–318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Yang F, Du J, Zhang H, Ruan G, Xiang J, Wang L, et al. Serum metabolomics of Burkitt lymphoma mouse models. PLoS One. 2017;12:e0170896. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Urbanczyk S, Stein M, Schuh W, Jäck HM, Mougiakakos D, Mielenz D. Regulation of energy metabolism during early B lymphocyte development. Int J Mol Sci. 2018;19:2192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Lam WY, Bhattacharya D. Metabolic links between plasma cell survival, secretion, and stress. Trends Immunol. 2018;39:19–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Zhou X, Zhu X, Zeng H. Fatty acid metabolism in adaptive immunity. FEBS J. 2023;290:584–599. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Buck MD, O'Sullivan D, Pearce EL. T cell metabolism drives immunity. J Exp Med. 2015;212:1345–1360. 10.1084/jem.20151159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Howie D, ten Bokum A, Necula AS, Cobbold SP, Waldmann H. The role of lipid metabolism in T lymphocyte differentiation and survival. Front Immunol. 2018;8:322986. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Barnig C, Lutzweiler G, Giannini M, Lejay A, Charles AL, Meyer A, et al. Resolution of inflammation after skeletal muscle ischemia‐reperfusion injury: a focus on the lipid mediators lipoxins, resolvins, protectins and maresins. Antioxidants. 2022;11:1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ramon S, Gao F, Serhan CN, Phipps RP. Specialized proresolving mediators enhance human B cell differentiation to antibody‐secreting cells. J Immunol. 2012;189:1036–1042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Zhou X, Zhu X, Li C, Li Y, Ye Z, Shapiro VS, et al. Stearoyl‐CoA desaturase‐mediated monounsaturated fatty acid availability supports humoral immunity. Cell Rep. 2021;34:108601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Harayama T, Shimizu T. Roles of polyunsaturated fatty acids, from mediators to membranes. J Lipid Res. 2020;61:1150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Nishizuka Y. Intracellular signaling by hydrolysis of phospholipids and activation of protein kinase C. Science. 1992;258:607–614. [DOI] [PubMed] [Google Scholar]
  • 25. MacEyka M, Spiegel S. Sphingolipid metabolites in inflammatory disease. Nature. 2014;510:58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26. Lee M, Lee SY, Bae YS. Functional roles of sphingolipids in immunity and their implication in disease. Exp Mol Med. 2023;55:1110–1130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Cheng PC, Dykstra ML, Mitchell RN, Pierce SK. A role for lipid rafts in B cell antigen receptor signaling and antigen targeting. J Exp Med. 1999;190:1549–1560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Pierce SK. Lipid rafts and B‐cell activation. Nat Rev Immunol. 2002;2:96–105. [DOI] [PubMed] [Google Scholar]
  • 29. Green JA, Suzuki K, Cho B, Willison LD, Palmer D, Allen CD, et al. The sphingosine 1‐phosphate receptor S1P2 maintains germinal center B cell homeostasis and promotes niche confinement. Nat Immunol. 2011;12:672–680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30. Zhang T, De Waard AA, Wuhrer M, Spaapen RM. The role of glycosphingolipids in immune cell functions. Front Immunol. 2019;10:90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Cardoso D, Perucha E. Cholesterol metabolism: a new molecular switch to control inflammation. Clin Sci. 2021;135:1389–1408. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Cupps TR, Gerrard TL, Falkoff RJM, Whalen G, Fauci AS. Effects of in vitro corticosteroids on B cell activation, proliferation, and differentiation. J Clin Investig. 1985;75:754–761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Gruver‐Yates AL, Quinn MA, Cidlowski JA. Analysis of glucocorticoid receptors and their apoptotic response to dexamethasone in male murine B cells during development. Endocrinology. 2014;155:463–474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Coutinho AE, Chapman KE. The anti‐inflammatory and immunosuppressive effects of glucocorticoids, recent developments and mechanistic insights. Mol Cell Endocrinol. 2011;335:2–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Strehl C, Ehlers L, Gaber T, Buttgereit F. Glucocorticoids—all‐rounders tackling the versatile players of the immune system. Front Immunol. 2019;10:1744. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Benador IY, Veliova M, Liesa M, Shirihai OS. Mitochondria bound to lipid droplets: where mitochondrial dynamics regulate lipid storage and utilization. Cell Metab. 2019;29:827–835. 10.1016/j.cmet.2019.02.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Olzmann JA, Carvalho P. Dynamics and functions of lipid droplets. Nat Rev Mol Cell Biol. 2019;20:137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Liu C, Yang XV, Wu J, Kuei C, Mani NS, Zhang L, et al. Oxysterols direct B‐cell migration through EBI2. Nature. 2011;475:519–523. [DOI] [PubMed] [Google Scholar]
  • 39. Jia J, Conlon TM, Sarker RS, Taşdemir D, Smirnova NF, Srivastava B, et al. Cholesterol metabolism promotes B‐cell positioning during immune pathogenesis of chronic obstructive pulmonary disease. EMBO Mol Med. 2018;10:e8349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Bilotta MT, Petillo S, Santoni A, Cippitelli M. Liver X receptors: regulators of cholesterol metabolism, inflammation, autoimmunity, and cancer. Front Immunol. 2020;11:584303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Miller TL, Wolin MJ. Pathways of acetate, propionate, and butyrate formation by the human fecal microbial flora. Appl Environ Microbiol. 1996;62:1589–1592. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Sivaprakasam S, Bhutia YD, Yang S, Ganapathy V. Short‐chain fatty acid transporters: role in colonic homeostasis. Compr Physiol. 2017;8:299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Röhrig F, Schulze A. The multifaceted roles of fatty acid synthesis in cancer. Nat Rev Cancer. 2016;16:732–749. 10.1038/nrc.2016.89 [DOI] [PubMed] [Google Scholar]
  • 44. Kobayashi S, Phung HT, Tayama S, Kagawa Y, Miyazaki H, Yamamoto Y, et al. Fatty acid‐binding protein 3 regulates differentiation of IgM‐producing plasma cells. FEBS J. 2021;288:1130–1141. [DOI] [PubMed] [Google Scholar]
  • 45. Wu Q, Ortegon AM, Tsang B, Doege H, Feingold KR, Stahl A. FATP1 is an insulin‐sensitive fatty acid transporter involved in diet‐induced obesity. Mol Cell Biol. 2006;26:3455–3467. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Watkins PA. Fatty acid activation. Lipid Res. 1997;36:55–83. [DOI] [PubMed] [Google Scholar]
  • 47. Zhan T, Poppelreuther M, Ehehalt R, Füllekrug J. Overexpressed FATP1, ACSVL4/FATP4 and ACSL1 increase the cellular fatty acid uptake of 3T3‐L1 adipocytes but are localized on intracellular membranes. PLoS One. 2012;7:e45087. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Al‐Rashed F, Al Madhoun A, Sindhu S, Jacob TK, Kochumon SP, Obeid LM, et al. ACSL1 is a key regulator of inflammatory and macrophage foaming induced by short‐term palmitate exposure or acute high‐fat feeding. SSRN Electron J. 2022. 10.2139/SSRN.4244248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Schönfeld P, Wojtczak L. Short‐ and medium‐chain fatty acids in energy metabolism: the cellular perspective. J Lipid Res. 2016;57:943–954. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Ma Y, Temkin SM, Hawkridge AM, Guo C, Wang W, Wang XY, et al. Fatty acid oxidation: an emerging facet of metabolic transformation in cancer. Cancer Lett. 2018;435:92–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Dominguez M, Brüne B, Namgaladze D. Exploring the role of ATP‐citrate lyase in the immune system. Front Immunol. 2021;12:632526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52. Pietrocola F, Galluzzi L, Bravo‐San Pedro JM, Madeo F, Kroemer G. Acetyl coenzyme A: a central metabolite and second messenger. Cell Metab. 2015;21:805–821. 10.1016/j.cmet.2015.05.014 [DOI] [PubMed] [Google Scholar]
  • 53. Lee J, Walsh MC, Hoehn KL, James DE, Wherry EJ, Choi Y. Regulator of fatty acid metabolism, acetyl CoA carboxylase 1 (ACC1), controls T cell immunity. J Immunol. 2014;192:3190–3199. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Walther TC, Farese RV. Lipid droplets and cellular lipid. Metabolism. 2012;81:687–714. 10.1146/annurev-biochem-061009-102430 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Farese RV, Walther TC. Lipid droplets finally get a little R‐E‐S‐P‐E‐C‐T. Cell. 2009;139:855–860. 10.1016/j.cell.2009.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Coleman RA, Mashek DG. Mammalian triacylglycerol metabolism: synthesis, lipolysis and signaling. Chem Rev. 2011;111:6359–6386. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Laplante M, Sabatini DM. An emerging role of mTOR in lipid biosynthesis. Curr Biol. 2009;19:R1046–R1052. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Varga T, Czimmerer Z, Nagy L. PPARs are a unique set of fatty acid regulated transcription factors controlling both lipid metabolism and inflammation. Biochim Biophys Acta Mol Basis Dis. 2011;1812:1007–1022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Jo DS, Park NY, Cho DH. Peroxisome quality control and dysregulated lipid metabolism in neurodegenerative diseases. Exp Mol Med. 2020;52:1486–1495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Fransen M, Lismont C, Walton P. The peroxisome‐mitochondria connection: how and why? Int J Mol Sci. 2017;18:1126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Kolczynska K, Loza‐Valdes A, Hawro I, Sumara G. Diacylglycerol‐evoked activation of PKC and PKD isoforms in regulation of glucose and lipid metabolism: a review. Lipids Health Dis. 2020;19:113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Thatcher JD. The inositol trisphosphate (IP3) signal transduction pathway. Sci Signal. 2010;3:tr3. [DOI] [PubMed] [Google Scholar]
  • 63. Tsui C, Martinez‐Martin N, Gaya M, Maldonado P, Llorian M, Legrave NM, et al. Protein kinase C‐β dictates B cell fate by regulating mitochondrial remodeling, metabolic reprogramming, and heme biosynthesis. Immunity. 2018;48:1144–1159.e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Tiper IV, East JE, Subrahmanyam PB, Webb TJ. Sphingosine 1‐phosphate signaling impacts lymphocyte migration, inflammation and infection. Pathog Dis. 2016;74:ftw063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Lone AM, Taskén K. Proinflammatory and immunoregulatory roles of eicosanoids in T cells. Front Immunol. 2013;4:130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Gupta N, DeFranco AL. Lipid rafts and B cell signaling. Semin Cell Dev Biol. 2007;18:616–626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Zhou Y, Gorfe AA, Hancock JF. RAS nanoclusters selectively sort distinct lipid headgroups and acyl chains. Front Mol Biosci. 2021;8:686338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Karnell FG, Brezski RJ, King LB, Silverman MA, Monroe JG. Membrane cholesterol content accounts for developmental differences in surface B cell receptor compartmentalization and signaling. J Biol Chem. 2005;280:25621–25628. [DOI] [PubMed] [Google Scholar]
  • 69. Xiao M, Yang H, Xu W, Ma S, Lin H, Zhu H, et al. Inhibition of α‐KG‐dependent histone and DNA demethylases by fumarate and succinate that are accumulated in mutations of FH and SDH tumor suppressors. Genes Dev. 2012;26:1326–1338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Dengler HS, Baracho GV, Omori SA, Bruckner S, Arden KC, Castrillon DH, et al. Distinct functions for the transcription factor Foxo1 at various stages of B cell differentiation. Nat Immunol. 2008;9:1388–1398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Märklin M, Heitmann JS, Kauer J, Wirths S, Müller MR. Genetic loss of NFAT2 (NFATc1) impairs B cell development of B1 and B2 B cells. Cell Immunol. 2020;349:104048. [DOI] [PubMed] [Google Scholar]
  • 72. Gerondakis S, Siebenlist U. Roles of the NF‐κB pathway in lymphocyte development and function. Cold Spring Harb Perspect Biol. 2010;2:a000182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73. Haery L, Thompson RC, Gilmore TD. Histone acetyltransferases and histone deacetylases in B‐ and T‐cell development, physiology and malignancy. Genes Cancer. 2015;6:184–213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74. Candido EPM, Reeves R, Davie JR. Sodium butyrate inhibits histone deacetylation in cultured cells. Cell. 1978;14:105–113. [DOI] [PubMed] [Google Scholar]
  • 75. Kim M, Qie Y, Park J, Kim CH. Gut microbial metabolites fuel host antibody responses. Cell Host Microbe. 2016;20:202–214. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76. Sanchez HN, Moroney JB, Gan H, Shen T, Im JL, Li T, et al. B cell‐intrinsic epigenetic modulation of antibody responses by dietary fiber‐derived short‐chain fatty acids. Nat Commun. 2020;11:60. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Guan X, Fierke CA. Understanding protein palmitoylation: biological significance and enzymology. Sci China Chem. 2011;54:1888–1897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78. Ivaldi C, Martin BR, Kieffer‐Jaquinod S, Chapel A, Levade T, Garin J, et al. Proteomic analysis of S‐acylated proteins in human B cells reveals palmitoylation of the immune regulators CD20 and CD23. PLoS One. 2012;7:e37187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Fröhlich M, Dejanovic B, Kashkar H, Schwarz G, Nussberger S. S‐palmitoylation represents a novel mechanism regulating the mitochondrial targeting of BAX and initiation of apoptosis. Cell Death Dis. 2014;5:e1057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Xu S, Huo J, Huang Y, Aw M, Chen S, Mak S, et al. von Hippel‐Lindau protein maintains metabolic balance to regulate the survival of naive B lymphocytes. iScience. 2019;17:379–392. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81. Lu X, Sicard R, Jiang X, Stockus JN, McNamara G, Abdulreda M, et al. HGAL localization to cell membrane regulates B‐cell receptor signaling. Blood. 2015;125:649–657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Cherukuri A, Carter RH, Brooks S, Bornmann W, Finn R, Dowd CS, et al. B cell signaling is regulated by induced palmitoylation of CD81. J Biol Chem. 2004;279:31973–31982. [DOI] [PubMed] [Google Scholar]
  • 83. Jiang X, Lu X, Zhang Y, Lacaria L, Schuchardt BJ, Mikles DC. Interplay between HGAL and Grb2 proteins regulates B‐cell receptor signaling. Blood Adv. 2019;3:2286–2297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Cho SH, Raybuck AL, Stengel K, Wei M, Beck TC, Volanakis E, et al. Germinal centre hypoxia and regulation of antibody qualities by a hypoxia response system. Nature. 2016;537:234–238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Karlic H, Varga F. Mevalonate pathway. In: Boffetta P, Hainaut P, editors. Encyclopedia of cancer. Amsterdam: Academic Press; 2019. p. 445–457. 10.1016/B978-0-12-801238-3.65000-6 [DOI] [Google Scholar]
  • 86. Buhaescu I, Izzedine H. Mevalonate pathway: a review of clinical and therapeutical implications. Clin Biochem. 2007;40:575–584. [DOI] [PubMed] [Google Scholar]
  • 87. Muehlebach ME, Holstein SA, Sarah Holstein CA. Geranylgeranyl diphosphate synthase: role in human health, disease and potential therapeutic target. Clin Transl Med. 2023;13:e1167. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. Bibby JA, Purvis HA, Hayday T, Chandra A, Okkenhaug K, Rosenzweig S, et al. Cholesterol metabolism drives regulatory B cell IL‐10 through provision of geranylgeranyl pyrophosphate. Nat Commun. 2020;11:3412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Muri J, Thut H, Bornkamm GW, Kopf M. B1 and marginal zone B cells but not follicular B2 cells require Gpx4 to prevent lipid peroxidation and ferroptosis. Cell Rep. 2019;29:2731–2744.e4. [DOI] [PubMed] [Google Scholar]
  • 90. Wang P, Lu YQ. Ferroptosis: a critical moderator in the life cycle of immune cells. Front Immunol. 2022;13:877634. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Magtanong L, Ko PJ, To M, Cao JY, Forcina GC, Tarangelo A, et al. Exogenous monounsaturated fatty acids promote a ferroptosis‐resistant cell state. Cell Chem Biol. 2019;26:420–432.e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92. Hess J, Werner A, Wirth T, Melchers F, Jäck HM, Winkler TH. Induction of pre‐B cell proliferation after de novo synthesis of the pre‐B cell receptor. Proc Natl Acad Sci U S A. 2001;98:1745–1750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Milne CD, Paige CJ. IL‐7: a key regulator of B lymphopoiesis. Semin Immunol. 2006;18:20–30. [DOI] [PubMed] [Google Scholar]
  • 94. Stein M, Dütting S, Mougiakakos D, Bösl M, Fritsch K, Reimer D, et al. A defined metabolic state in pre B cells governs B‐cell development and is counterbalanced by Swiprosin‐2/EFhd1. Cell Death Differ. 2017;24:1239–1252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95. Yazicioglu YF, Marin E, Sandhu C, Galiani S, Raza IGA, Ali M, et al. Dynamic mitochondrial transcription and translation in B cells control germinal center entry and lymphomagenesis. Nat Immunol. 2023;24:991–1006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Muri J, Corak B, Matsushita M, Baes M, Kopf M. Peroxisomes are critical for the development and maintenance of B1 and marginal zone B cells but dispensable for follicular B cells and T cells. J Immunol. 2022;208:839–850. [DOI] [PubMed] [Google Scholar]
  • 97. Won W‐J, Bachmann MF, Kearney JF. CD36 is differentially expressed on B cell subsets during development and in responses to antigen. J Immunol. 2008;180:230–237. [DOI] [PubMed] [Google Scholar]
  • 98. Doughty CA, Bleiman BF, Wagner DJ, Dufort FJ, Mataraza JM, Roberts MF, et al. Antigen receptor‐mediated changes in glucose metabolism in B lymphocytes: role of phosphatidylinositol 3‐kinase signaling in the glycolytic control of growth. Blood. 2006;107:4458–4465. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Waters LR, Ahsan FM, Wolf DM, Shirihai O, Teitell MA. Initial B cell activation induces metabolic reprogramming and mitochondrial remodeling. iScience. 2018;5:99–109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Cerutti A, Cols M, Puga I. Marginal zone B cells: virtues of innatelike antibody‐producing lymphocytes. Nat Rev Immunol. 2013;13:118–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Zhang X. Regulatory functions of innate‐like B cells. Cell Mol Immunol. 2013;10:113–121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Baumgarth N. B‐1 cell heterogeneity and the regulation of natural and antigen‐induced IgM production. Front Immunol. 2016;7:324. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103. Berland R, Wortis HH. Origins and functions of B‐1 cells with notes on the role of CD5. Annu Rev Immunol. 2002;20:253–300. 10.1146/ANNUREV.IMMUNOL.20.100301.064833 [DOI] [PubMed] [Google Scholar]
  • 104. Clarke AJ, Riffelmacher T, Braas D, Cornall RJ, Simon AK. B1a B cells require autophagy for metabolic homeostasis and self‐renewal. J Exp Med. 2018;215:399–413. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105. Fagone P, Sriburi R, Ward‐Chapman C, Frank M, Wang J, Gunter C, et al. Phospholipid biosynthesis program underlying membrane expansion during B‐lymphocyte differentiation. J Biol Chem. 2007;282:7591–7605. [DOI] [PubMed] [Google Scholar]
  • 106. Dufort FJ, Gumina MR, Ta NL, Tao Y, Heyse SA, Scott DA, et al. Glucose‐dependent de novo lipogenesis in B lymphocytes. J Biol Chem. 2014;289:7011–7024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Victora GD, Nussenzweig MC. Germinal centers. Annu Rev Immunol. 2012;30:429–457. [DOI] [PubMed] [Google Scholar]
  • 108. Stebegg M, Kumar SD, Silva‐Cayetano A, Fonseca VR, Linterman MA, Graca L. Regulation of the germinal center response. Front Immunol. 2018;9:2469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109. Yi T, Wang X, Kelly LM, An J, Xu Y, Sailer AW, et al. Oxysterol gradient generation by lymphoid stromal cells guides activated B cell movement during humoral responses. Immunity. 2012;37:535–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110. Basso K, Klein U, Niu H, Stolovitzky GA, Tu Y, Califano A, et al. Tracking CD40 signaling during germinal center development. Blood. 2004;104:4088–4096. [DOI] [PubMed] [Google Scholar]
  • 111. Yusuf I, Kageyama R, Monticelli L, Johnston RJ, Ditoro D, Hansen K, et al. Germinal center T follicular helper cell IL‐4 production is dependent on signaling lymphocytic activation molecule receptor (CD150). J Immunol. 2010;185:190–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Heise N, De Silva NS, Silva K, Carette A, Simonetti G, Pasparakis M, et al. Germinal center B cell maintenance and differentiation are controlled by distinct NF‐κB transcription factor subunits. J Exp Med. 2014;211:2103–2118. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Haniuda K, Fukao S, Kitamura D. Metabolic reprogramming induces germinal center B cell differentiation through Bcl6 locus remodeling. Cell Rep. 2020;33:108333. [DOI] [PubMed] [Google Scholar]
  • 114. Weisel FJ, Mullett SJ, Elsner RA, Menk AV, Trivedi N, Luo W, et al. Germinal center B cells selectively oxidize fatty acids for energy while conducting minimal glycolysis. Nat Immunol. 2020;21(3):331–342. 10.1038/s41590-020-0598-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115. Jellusova J, Cato MH, Apgar JR, Ramezani‐Rad P, Leung CR, Chen C, et al. Gsk3 is a metabolic checkpoint regulator in B cells. Nat Immunol. 2017;18:303–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116. Jayachandran N, Mejia EM, Sheikholeslami K, Sher AA, Hou S, Hatch GM, et al. TAPP adaptors control B cell metabolism by modulating the phosphatidylinositol 3‐kinase signaling pathway: a novel regulatory circuit preventing autoimmunity. J Immunol. 2018;201:406–416. [DOI] [PubMed] [Google Scholar]
  • 117. Sharma R, Smolkin RM, Chowdhury P, Fernandez KC, Kim Y, Cols M, et al. Distinct metabolic requirements regulate B cell activation and germinal center responses. Nat Immunol. 2023;2023:1358–1369. 10.1038/s41590-023-01540-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Chen D, Wang Y, Manakkat Vijay GK, Fu S, Nash CW, Xu D, et al. Coupled analysis of transcriptome and BCR mutations reveals role of OXPHOS in affinity maturation. Nat Immunol. 2021;22:904–913. [DOI] [PubMed] [Google Scholar]
  • 119. Raybuck AL, Cho SH, Li J, Rogers MC, Lee K, Williams CL, et al. B cell‐intrinsic mTORC1 promotes GC‐defining transcription factor gene expression, somatic hypermutation, and memory B cell generation in humoral immunity. J Immunol. 2018;200:2627–2639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120. Cantor J, Browne CD, Ruppert R, Féral CC, Fässler R, Rickert RC, et al. CD98hc facilitates B cell proliferation and adaptive humoral immunity. Nat Immunol. 2009;10:412–419. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Ersching J, Efeyan A, Mesin L, Jacobsen JT, Pasqual G, Grabiner BC, et al. Germinal center selection and affinity maturation require dynamic regulation of mTORC1 kinase. Immunity. 2017;46:1045–1058.e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122. Gaber T, Buttgereit F. A new perspective is needed for positive selection of germinal center B cells with higher‐affinity B cell receptors. Cell Mol Immunol. 2022;19:145–146. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123. He C, Wang S, Zhou C, He M, Wang J, Ladds M, et al. CD36 and LC3B initiated autophagy in B cells regulates the humoral immune response. Autophagy. 2021;17:3577–3591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124. Aronov M, Tirosh B. Metabolic control of plasma cell differentiation—what we know and what we don't know. J Clin Immunol. 2016;36:12–17. [DOI] [PubMed] [Google Scholar]
  • 125. Garcia‐Manteiga JM, Mari S, Godejohann M, Spraul M, Napoli C, Cenci S, et al. Metabolomics of B to plasma cell differentiation. J Proteome Res. 2011;10:4165–4176. [DOI] [PubMed] [Google Scholar]
  • 126. Lam WY, Becker AM, Kennerly KM, Wong R, Curtis JD, Llufrio EM, et al. Mitochondrial pyruvate import promotes long‐term survival of antibody‐secreting plasma cells. Immunity. 2016;45:60–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Utley A, Chavel C, Lightman S, Holling GA, Cooper J, Peng P, et al. CD28 regulates metabolic fitness for long‐lived plasma cell survival. Cell Rep. 2020;31:107815. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128. Kunisawa J, Hashimoto E, Inoue A, Nagasawa R, Suzuki Y, Ishikawa I, et al. Regulation of intestinal IgA responses by dietary palmitic acid and its metabolism. J Immunol. 2014;193:1666–1671. [DOI] [PubMed] [Google Scholar]
  • 129. Teague H, Fhaner CJ, Harris M, Duriancik DM, Reid GE, Shaikh SR. n‐3 PUFAs enhance the frequency of murine B‐cell subsets and restore the impairment of antibody production to a T‐independent antigen in obesity. J Lipid Res. 2013;54:3130–3138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130. Kosaraju R, Guesdon W, Crouch MJ, Teague HL, Sullivan EM, Karlsson EA, et al. B cell activity is impaired in human and mouse obesity and is responsive to an essential fatty acid upon murine influenza infection. J Immunol. 2017;198:4738–4752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131. Gurzell EA, Teague H, Harris M, Clinthorne J, Shaikh SR, Fenton JI. DHA‐enriched fish oil targets B cell lipid microdomains and enhances ex vivo and in vivo B cell function. J Leukoc Biol. 2013;93:463–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132. Whelan J, Gowdy KM, Shaikh SR. N‐3 polyunsaturated fatty acids modulate B cell activity in pre‐clinical models: implications for the immune response to infections. Eur J Pharmacol. 2016;785:10–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133. Liu T, Kishton RJ, Macintyre AN, Gerriets VA, Xiang H, Liu X, et al. Glucose transporter 1‐mediated glucose uptake is limiting for B‐cell acute lymphoblastic leukemia anabolic metabolism and resistance to apoptosis. Cell Death Dis. 2014;5:e1470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134. Chen WL, Wang JH, Zhao AH, Xu X, Wang YH, Chen TL, et al. A distinct glucose metabolism signature of acute myeloid leukemia with prognostic value. Blood. 2014;124:1645–1654. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135. Peeters R, Cuenca‐Escalona J, Zaal EA, Hoekstra AT, Balvert ACG, Vidal‐Manrique M, et al. Fatty acid metabolism in aggressive B‐cell lymphoma is inhibited by tetraspanin CD37. Nat Commun. 2022;13:5371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136. Sinkala M, Mulder N, Patrick Martin D. Metabolic gene alterations impact the clinical aggressiveness and drug responses of 32 human cancers. Commun Biol. 2019;2:414. doi: 10.1038/s42003-019-0666-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137. Magi A, Masselli M, Sala C, Guerriero A, Laise P, Puccini B, et al. The ion channels and transporters gene expression profile indicates a shift in excitability and metabolisms during malignant progression of follicular lymphoma. Sci Rep. 2019;9:8586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138. Allegra A, Innao V, Gerace D, Bianco O, Musolino C. The metabolomic signature of hematologic malignancies. Leuk Res. 2016;49:22–35. [DOI] [PubMed] [Google Scholar]
  • 139. Farge T, Saland E, de Toni F, Aroua N, Hosseini M, Perry R, et al. Chemotherapy‐resistant human acute myeloid leukemia cells are not enriched for leukemic stem cells but require oxidative metabolism. Cancer Discov. 2017;7:716–735. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140. Hulse M, Johnson SM, Boyle S, Caruso LB, Tempera I. Epstein–Barr virus‐encoded latent membrane protein 1 and B‐cell growth transformation induce lipogenesis through fatty acid synthase. J Virol. 2021;95:e01857–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141. Wang LW, Wang Z, Ersing I, Nobre L, Guo R, Jiang S, et al. Epstein–Barr virus subverts mevalonate and fatty acid pathways to promote infected B‐cell proliferation and survival. PLoS Pathog. 2019;15:e1008030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142. Egom EEA, Hafeez H. Biochemistry of statins. Adv Clin Chem. 2016;73:127–168. [DOI] [PubMed] [Google Scholar]
  • 143. Prieto D, Seija N, Uriepero A, Souto‐Padron T, Oliver C, Irigoin V, et al. LPL protein in chronic lymphocytic leukaemia have different origins in mutated and unmutated patients. Advances for a new prognostic marker in CLL. Br J Haematol. 2018;182:521–525. [DOI] [PubMed] [Google Scholar]
  • 144. Klein U, Tu Y, Stolovitzky GA, Mattioli M, Cattoretti G, Husson H, et al. Gene expression profiling of B cell chronic lymphocytic leukemia reveals a homogeneous phenotype related to memory B cells. J Exp Med. 2001;194:1625–1638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145. Gugiatti E, Tenca C, Ravera S, Fabbi M, Ghiotto F, Mazzarello AN, et al. A reversible carnitine palmitoyltransferase (CPT1) inhibitor offsets the proliferation of chronic lymphocytic leukemia cells. Haematologica. 2018;103:e531–e536. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 146. Mao S, Ling Q, Pan J, Li F, Huang S, Ye W, et al. Inhibition of CPT1a as a prognostic marker can synergistically enhance the antileukemic activity of ABT199. J Transl Med. 2021;19:181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147. Shi J, Fu H, Jia Z, He K, Fu L, Wang W. High expression of CPT1A predicts adverse outcomes: a potential therapeutic target for acute myeloid leukemia. EBioMedicine. 2016;14:55–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148. Ricciardi MR, Mirabilii S, Allegretti M, Licchetta R, Calarco A, Torrisi MR, et al. Targeting the leukemia cell metabolism by the CPT1a inhibition: functional preclinical effects in leukemias. Blood. 2015;126:1925–1929. [DOI] [PubMed] [Google Scholar]
  • 149. Pacilli A, Calienni M, Margarucci S, D'Apolito M, Petillo O, Rocchi L, et al. Carnitine‐acyltransferase system inhibition, cancer cell death, and prevention of myc‐induced lymphomagenesis. J Natl Cancer Inst. 2013;105:489–498. [DOI] [PubMed] [Google Scholar]

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