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. 2022 Feb 11;44(2):763–783. doi: 10.1007/s11357-022-00527-1

Selective brain regional changes in lipid profile with human aging

Natalia Mota-Martorell 1, Pol Andrés-Benito 2, Meritxell Martín-Gari 1, José Daniel Galo-Licona 1, Joaquim Sol 1, Anna Fernández-Bernal 1, Manuel Portero-Otín 1, Isidro Ferrer 2,3,4, Mariona Jove 1,✉, Reinald Pamplona 1,✉
PMCID: PMC9135931  PMID: 35149960

Abstract

Fatty acids are key components in the structural diversity of lipids and play a strategic role in the functional properties of lipids which determine the integrity of neuronal and glial cell membranes, the generation of lipid signaling mediators, and the chemical reactivity of acyl chains. The present study analyzes using gas chromatography the fatty acid profiles of 13 regions of the human central nervous system in healthy individuals ranging from 40 to 80 years old. The outcomes suggest the existence of general traits in fatty acid composition such as an average chain length of 18 carbon atoms, high monounsaturated fatty acid content, and predominance in polyunsaturated fatty acids of those of series n-6 over series n-3 which are shared by all brain regions regardless of age. Our results also show a general sustained and relatively well-preserved lipid profile throughout the adult lifespan in most studied regions (olive, upper vermis, substantia nigra, thalamus, hippocampus, putamen, caudate, occipital cortex, parietal cortex, entorhinal cortex, and frontal cortex) with minor changes that are region-dependent. In contrast, of particular relevance is the involvement of the inferior temporal cortex and cingulate cortex. It is proposed that during normal human brain aging, the lipid profile is resistant to changes with age in most human brain regions to ensure cell survival and function, but some particular regions involved in specific memory domains are greatly affected.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11357-022-00527-1.

Keywords: Average chain length, Cerebral cortex, Human brain regions, Fatty acid profile, Peroxidizability index, Polyunsaturated fatty acids

Introduction

Human brain evolution and lipids are closely linked [1, 2]. Structural and functional diversity and abundance of lipids are also traits of the human brain [1, 3–5]. As result, all lipid classes are present in the nervous system, likely as expression and support of the structural and functional complexity of the system [4, 6]. This abundance and diversity of lipids require a quarter of the total brain energy to maintain cellular activity involved in de novo lipid biosynthesis, remodeling, turnover, and synthesis of lipid-derived mediators, as well as continuous adjustment of the spatial and temporal lipid organization of cell membranes [7, 8].

Fatty acids are major components of glycerolipids, glycerophospholipids, and sphingolipids. The combination of fatty acids or fatty acids with different head groups (depending on the lipid class) can generate around 10,000 different lipid molecular species [6]. The length (number of carbon atoms) of the acyl chain and number of double bonds are determinants of the geometric traits of lipids influencing membrane organization and function [4]. Furthermore, fatty acids are substrates for the generation of lipid signaling mediators [9]. An additional trait assigned to fatty acids is their chemical reactivity in the face of oxidative conditions [10], which, by extension, determines the susceptibility to oxidative stress for a given membrane [10]. Thus, polyunsaturated side chains are much more easily attacked by oxidant agents than saturated or monounsaturated fatty acid side chains.

In this context, it has been suggested that the morphological and functional diversity among neural cells in the human brain is also achieved by the expression of region-specific lipid profiles [10]. In agreement with this hypothesis, we recently demonstrated that particular fatty acids are significant discriminators among human brain regions and that these specific fatty acid profiles generate a differential cross-regional selective neural vulnerability (expressed by the double bond index and peroxidizability index). In other words, there is a region-specific vulnerability to lipid peroxidation in human brain [10]. Changes in global lipid composition have been reported in human brain aging, and in several age-associated neurodegenerative diseases such as Alzheimer disease [5]. However, little is known about alterations occurring across brain regions throughout the adult human lifespan.

The present study analyzes the fatty acid profiles of total lipids from the gray matter of 13 different regions of the human central nervous system belonging to the hindbrain (olive and upper vermis), midbrain (substantia nigra), diencephalon (thalamus), subcortical telencephalon (hippocampus, head of the caudate, and anterior putamen), and cortical telencephalon (occipital cortex areas 17–18, parietal cortex area 7, inferior temporal cortex area 20, entorhinal cortex, frontal cortex area 8, and cingulate gyrus area 24), in healthy individuals without co-morbidities ranging from 40 to 80 years old. The brain areas were selected on the basis of their selective vulnerability to neurodegenerative diseases in aging. Our results show selective brain regional changes in lipid profile with human healthy aging.

Material and methods

Chemicals

Unless otherwise specified, all reagents were from Sigma-Aldrich and were of the highest purity available.

Human samples

Brain samples were obtained from the Institute of Neuropathology Brain Bank, a branch of the HUB-ICO-IDIBELL Biobank, following the guidelines of Spanish legislation (Real Decreto 1716/2011) and the approval of the local ethics committee (CEIC/1981).

At autopsy, one hemisphere was fixed in 4% buffered formalin for about 3 weeks while the other hemisphere was cut in coronal Sects. 0.5-cm thick; selected areas of the brain were dissected, immediately frozen on metal plates over dry ice, placed in labelled plastic bags, and stored at – 80 °C until use. Procedures were designed to preserve post-mortem material under optimal conditions for morphological and biochemical studies [11]. The post-mortem delay ranged from 2 to 14 h 40 min (see Table 1).

Table 1.

Summary of cases examined

Case Gender Age (years) Post-mortem delay Neuropathology Cause of death
1 Male 40 5 h 10 min NL CA
2 Female 40 8 h 45 min NL PNEU
3 Male 44 6 h 40 min NL THR-EMB
4 Male 45 4 h 5 min CRIB C-INF
5 Female 46 7 h 15 min CRIB MYO
6 Female 48 4 h 5 min NL CA
7 Male 52 9 h 30 min NL PNEU
8 Male 52 4 h 40 min NL C-INF
9 Male 57 5 h 20 min NL PNEU
10 Male 61 4 h 30 min I-II CA
11 Male 66 6 h 25 min I-II THR-EMB
12 Male 67 14 h 40 min I-II CA
13 Male 70 2 h 00 min I-II CA
14 Female 75 6 h 10 min I-II + CRIB C-INF
15 Male 76 6 h 30 min I-II PNEU
16 Male 77 6 h 55 min I-II + CRIB C-INF
17 Female 79 6 h 25 min I-II + CRIB INT-INF
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NL, no lesions; CRIB, status cribosus; I-II, neurofibrillary tangle pathology stages I–II of Braak and Braak; CA, carcinoma; PNEU, pneumonia; C-INF, cardiac infarction; THR-EMB, pulmonary thrombosis-embolism; MYO, myocardiopathy; INT-INF, intestinal infarction

The neuropathological study, to discriminate healthy brains, was carried out in every case as previously described [11]. Briefly, the neuropathological study was carried out on formalin-fixed, paraffin-embedded samples of 26 brain regions. De-waxed sections, 4-µm thick, were stained with hematoxylin and eosin, and Klüver Barrera, or processed for immunohistochemistry to β-amyloid, phosphorylated tau (including clone AT8), α-synuclein, ubiquitin, p62, TDP43, glial fibrillary protein, and microglia markers.

Adult and middle-aged individuals (< 60 years) had no clinical or neuropathological alterations, whereas old-aged individuals (> 60 years) had no clinical symptoms and neuropathological alteration restricted to stage I of neurofibrillary degeneration. Since the majority of human beings aged 65 years have stages I–II of neurofibrillary tangle pathology [12, 13], the old-aged group was considered representative of normal brain aging. β-Amyloid deposition was absent in every case. All cases included in this study were without co-morbidities. Samples were from individuals with no neurological symptoms and without systemic and focal infectious or inflammatory and autoimmune diseases. Cases with disseminated malignant diseases, metabolic syndrome, or drug abuse (for instance, excessive ethanol consumption) were not included. Special care was also taken to not include cases with prolonged agonal state (patients subjected to intensive care or experiencing hypoxia). After neuropathological examination, cases with both neurodegenerative and vascular diseases were excluded excepting those with stages I–II of neurofibrillary tangle pathology. Finally, cases with associated neurodegenerative processes (i.e., TDP-43 proteinopathy, argyrophilic grain pathology, α-synucleinopathy, and other tauopathies) were also excluded.

Following initial screening, the present series included 17 cases: 12 males and 5 females, with age ranging from 40 to 80 years. Table 1 summarizes cases examined in the present series. The gray matter from cerebral cortex (frontal area 8, parietal area 7, inferior temporal area 20, occipital areas 17–18, cingulate gyrus area 24, entorhinal cortex, and hippocampus), striatum (head of the caudate and anterior putamen), thalamus, substantia nigra, upper vermis, and olive were dissected and used for biochemical studies.

Fatty acid profile

Fatty acyl groups of total lipids from gray matter of 13 human brain regions were analyzed as methyl ester derivatives (FAMEs) by gas chromatography (GC) as previously described [10, 14]. Firstly, 50 mg of tissue samples was homogenized in a buffer containing 180 mM KCl, 5 mM MOPS, 2 mM EDTA, 1 mM diethylenetriaminepentaacetic acid, and 1 μM butylated hydroxytoluene. Tissue samples were randomized prior to lipid extraction. Quality control samples were included at a ratio of 1:10. Then, total lipids from human brain homogenates were extracted with chloroform:methanol 2:1 (v/v). The chloroform phase was separated and evaporated under N2, and the fatty acyl groups were transesterified by incubation in 2.5 ml of 5% methanolic HCl at 75 °C for 90 min. The resulting fatty acid methyl esters were extracted by adding 1 ml of saturated NaCl solution and 2.5 ml of n-pentane. Finally, the n-pentane phase was separated, evaporated under N2, and redissolved in 75 µl of carbon disulfide. Two microliters was used for GC analysis.

Separation was performed with a DBWAX capillary column (30 m × 0.25 mm × 0.25 μm) in a GC System 7890A with a Series Injector 7683B and a FID detector (Agilent Technologies, Barcelona, Spain). Sample injection was in the splitless mode. The injection port was maintained at 250 °C, and the detector at 250 °C. The temperature program was 5 min at 145 °C, then 2 °C/min to 245 °C, and finally hold at 245 °C for 10 min, with a post-run at 250 °C for 10 min. So, total run time was 65 min, with a post-run time of 10 min. Identification of fatty acid methyl esters was made by comparison with authentic standards (Larodan Fine Chemicals, Malmö, Sweden) using a specific software of data analysis for GC from Agilent (OpenLAB CDS ChemStation v. C.01.10; Agilent Technologies, Barcelona, Spain) and subsequent revision and confirmation by an expert. Results are expressed as mol%.

The following fatty acyl indices were also calculated: saturated fatty acids (SFA); unsaturated fatty acids (UFA); ratio SFA/UFA; monounsaturated fatty acids (MUFA); polyunsaturated fatty acids (PUFA) from n-3 and n-6 series (PUFAn-3 and PUFAn-6); and average chain length (ACL) = [(Σ% Total14 × 14) + (Σ% Total16 × 16) + (Σ% Total18 × 18) + (Σ% Total20 × 20) + (Σ% Total22 × 22) + (Σ% Total24 × 24)]/100. The density of double bonds in the membrane was calculated with the double bond index, DBI = [(1 × Σmol% monoenoic) + (2 × Σmol% dienoic) + (3 × Σmol% trienoic) + (4 × Σmol% tetraenoic) + (5 × Σmol% pentaenoic) + (6 × Σmol% hexaenoic)]. Membrane susceptibility to peroxidation was calculated with the peroxidizability index, PI = [(0.025 × Σmol% monoenoic) + (1 × Σmol% dienoic) + (2 × Σmol% trienoic) + (4 × Σmol% tetraenoic) + (6 × Σmol% pentaenoic) + (8 × Σmol% hexaenoic)].

Elongase and desaturase activity was estimated from specific product/substrate ratios. For desaturase activity: D9D (n-7) = 16:1n-7/16:0; D9D (n-9) = 18:1n-9/18:0; D5D (n-6) = 20:4n-6/20:3n-6; D6D (n-3) (a) = 18:4n-3/18:3n-3; D6D (n-3) (b) = 24:6n-3/24:5n-3. For elongase activity: Elovl3 (n-9) (a) = 20:1n-9/18:1n-9; Elovl3 (n-9) (b) = 22:1n-9/20:1n-9; Elovl3 (n-9) (c) = 24:1n-9/22:1n-9;Elovl6 = 18:0/16:0; Elovl1-3–7 (a) = 20:0/18:0; Elovl1-3–7 (b) = 22:0/20:0; Elovl1-3–7 (c) = 24:0/22:0; Elovl 5(n-6) = 20:2n-6/18:2n-6; Elovl2-5 (n-6) = 22:4n-6/20:4n-6; Elovl 2–5(n-3) = 22:5n-3/20:5n-3, and Elovl 2(n-3) = 24:5n-3/22:5n-3. Finally, peroxisomal β-oxidation (PβOx) was estimated according to the ratio 22:6n-3/24:6n-3.

Statistics

Data were expressed as mean values ± SEM. Student’s t-test was used to evaluate differences between age groups. Spearman’s rank correlation was employed to assess possible relations for variables with age. Statistical significance was adjusted for multiple testing by controlling the false discovery rate according to the Benjamini–Hochberg method using a maximum discovery rate of 10%. Graphs were made and t-tests performed using GraphPad prism 8.0.1. Spearman correlation was made using IBM SPSS Statistics (v24.0.0.0). Spearman correlation matrix was constructed using RStudio (v1.3.1073). Functions used were included in the packages corrplot [15] and Hmisc [16]. p values inferior to 0.05 were considered statistically significant.

Results

General traits shared by human brain regions

The changes in brain fatty acid profile along the aging process were assessed by analyzing 25 different fatty acid species across 13 different brain regions, including the olive (medulla oblongata) and vermis (cerebellum) (hindbrain); substantia nigra (midbrain); thalamus (diencephalon); hippocampus, caudate, and putamen (subcortical telencephalon); and occipital, parietal, temporal, entorhinal, frontal, and cingulate cortex (cortical telencephalon). Results revealed that 16:0, 18:0, and 18:1n-9 are the most abundant fatty acids in human healthy brain, in both the middle-aged and the elderly, accounting for approximately 60% of global fatty acid composition (Table 2). In addition, specific enrichment of 20:4n-6 and 22:6n-3 is found in all regions. As a result, the average chain length (ACL) is maintained at around 18 carbon atoms, with a predominant presence of monounsaturated fatty acids (MUFA), followed by polyunsaturated fatty acids (PUFA), showing a higher relative abundance of PUFAn-6 with respect to PUFAn-3.

Table 2.

Fatty acid composition of total lipids from different human brain regions comparing middle-aged and elderly individuals. Healthy individuals were grouped as middle-aged (< 60 years) and elderly (> 60 years). Differences between groups were assessed by applying a t-test and corrected by FDR method of Benjamini and Hochberg, with Q = 10%. Values are reported in mol% as mean ± SEM from 8 to 9 individuals × group. P < 0.05 was selected as the minimum level of statistical significance. Significance compared to middle-aged group prior FDR correction is denoted using asterisks (*P < 0.05; **P < 0.01; ***P < 0.001)

HINDBRAIN MIDBRAIN
Olive Vermis Substantia nigra
Middle-aged Elderly Sig Middle-aged Elderly Sig Middle-aged Elderly Sig
14:0 1.84 ± 0.19 1.29 ± 0.12* 0.546 1.08 ± 0.05 0.99 ± 0.05 0.803 0.61 ± 0.02 0.65 ± 0.02 0.578
16:0 15.36 ± 0.26 15.78 ± 0.44 0.775 24.5 ± 0.56 24.7 ± 0.38 0.908 17.55 ± 0.18 18.28 ± 0.49 0.457
16:1n7 2.23 ± 0.09 2.11 ± 0.25 0.775 1.22 ± 0.08 1.14 ± 0.07 0.803 1.22 ± 0.03 1.35 ± 0.05* 0.229
18:0 20.11 ± 0.52 19.24 ± 0.81 0.597 20.28 ± 0.18 20.82 ± 0.48 0.803 22.57 ± 0.13 22.98 ± 0.29 0.571
18:1n9 30.57 ± 0.35 31.3 ± 2.48 0.597 20.81 ± 0.56 20.44 ± 0.84 0.813 24.1 ± 0.33 24.06 ± 1.00 0.947
18:1n7 5.19 ± 0.16 5.28 ± 0.17 0.917 4.37 ± 0.16 4.15 ± 0.13 0.803 5.08 ± 0.09 5.18 ± 0.19 0.805
18:2n6 0.62 ± 0.11 0.54 ± 0.09 0.775 0.94 ± 0.11 0.92 ± 0.07 0.944 0.73 ± 0.07 0.71 ± 0.061 0.879
18:3n3 0.18 ± 0.00 0.17 ± 0.01 0.775 0.07 ± 0.00 0.07 ± 0.00 0.803 0.11 ± 0.00 0.1 ± 0.00 0.571
18:4n3 0.05 ± 0.00 0.03 ± 0.00 0.597 0.03 ± 0.00 0.03 ± 0.00 0.803 0.02 ± 0.00 0.04 ± 0.00* 0.173
20:0 0.44 ± 0.09 0.38 ± 0.03 0.775 0.23 ± 0.00 0.28 ± 0.01** 0.068 0.24 ± 0.01 0.24 ± 0.00 0.947
20:1n9 4.54 ± 0.21 4.17 ± 0.68 0.775 1.40 ± 0.11 1.41 ± 0.14 0.946 2.31 ± 0.23 2.04 ± 0.15 0.578
20:2n6 0.86 ± 0.08 0.95 ± 0.12 0.774 0.29 ± 0.03 0.26 ± 0.01 0.803 0.45 ± 0.03 0.41 ± 0.04 0.658
20:3n6 1.53 ± 0.10 1.38 ± 0.11 0.753 1.02 ± 0.07 0.9 ± 0.06 0.803 1.42 ± 0.06 1.28 ± 0.12 0.571
20:4n6 4.3 ± 0.14 4.77 ± 0.73 0.565 8.02 ± 0.15 7.82 ± 0.28 0.803 6.95 ± 0.22 7.2 ± 0.23 0.607
20:5n3 0.05 ± 0.00 0.05 ± 0.01 0.981 0.05 ± 0.01 0.03 ± 0.01 0.803 0.14 ± 0.01 0.12 ± 0.01 0.571
22:0 0.4 ± 0.12 0.31 ± 0.04 0.775 0.07 ± 0.00 0.07 ± 0.00 0.944 0.13 ± 0.01 0.11 ± 0.01 0.578
22:1n9 0.83 ± 0.10 0.73 ± 0.79 0.775 0.85 ± 0.05 0.93 ± 0.06 0.803 0.96 ± 0.16 0.8 ± 0.34 0.616
22:4n6 3.78 ± 0.17 4.00 ± 0.22 0.774 2.96 ± 0.10 2.79 ± 0.26 0.803 4.67 ± 0.08 4.55 ± 0.18 0.689
22:5n6 0.24 ± 0.02 0.22 ± 0.13 0.775 0.75 ± 0.09 0.67 ± 0.12 0.813 0.46 ± 0.02 0.38 ± 0.12 0.457
22:5n3 0.20 ± 0.01 0.27 ± 0.02* 0.546 0.3 ± 0.019 0.27 ± 0.02 0.803 0.46 ± 0.02 0.45 ± 0.03 0.814
22:6n3 1.75 ± 0.20 2 .00 ± 1.14 0.774 9.92 ± 0.33 10.55 ± 0.32 0.803 7.58 ± 0.32 7.03 ± 0.46 0.571
24:0 1.12 ± 0.11 1.04 ± 0.17 0.775 0.11 ± 0.01 0.1 ± 0.01 0.803 0.05 ± 0.01 0.19 ± 0.03** 0.049
24:1n9 3.25 ± 0.14 3.27 ± 0.45 0.996 0.51 ± 0.08 0.5 ± 0.07 0.946 1.68 ± 0.19 1.4 ± 0.20 0.571
24:5n3 0.09 ± 0.00 0.11 ± 0.02 0.597 0.06 ± 0.00 0.05 ± 0.00 0.803 0.10 ± 0.01 0.12 ± 0.01 0.457
24:6n3 0.49 ± 0.03 0.61 ± 0.07* 0.546 0.16 ± 0.02 0.13 ± 0.01 0.803 0.41 ± 0.019 0.36 ± 0.04 0.501
ACL 18.39 ± 0.02 18.43 ± 0.06 0.775 18.31 ± 0.02 18.32 ± 0.03 0.9 18.53 ± 0.00 18.46 ± 0.01** 0.049
SFA 39.27 ± 0.35 38.03 ± 0.91 0.546 46.27 ± 0.66 46.95 ± 0.42 0.803 41.15 ± 0.24 42.45 ± 0.60* 0.228
UFA 60.73 ± 0.35 61.97 ± 0.91 0.546 53.73 ± 0.66 53.05 ± 0.42 0.803 58.85 ± 0.24 57.55 ± 0.60* 0.228
MUFA 46.61 ± 0.48 46.86 ± 2.88 0.874 29.16 ± 0.89 28.57 ± 1.17 0.813 35.36 ± 0.65 34.82 ± 1.06 0.738
PUFA 14.12 ± 0.46 15.11 ± 2.03 0.597 24.57 ± 0.44 24.48 ± 0.90 0.944 23.49 ± 0.48 22.73 ± 0.60 0.571
PUFAn3 2.79 ± 0.21 3.24 ± 1.05 0.597 10.59 ± 0.33 11.12 ± 0.34 0.803 8.81 ± 0.33 8.2 ± 0.44 0.571
PUFAn6 11.33 ± 0.26 11.87 ± 0.98 0.597 13.98 ± 0.26 13.36 ± 0.61 0.803 14.68 ± 0.31 14.53 ± 0.39 0.805
DBI 103.48 ± 2.01 108.63 ± 7.70 0.574 145.19 ± 1.90 145.55 ± 3.17 0.944 142.57 ± 1.87 137.95 ± 2.42 0.457
PI 59.9 ± 2.74 65.76 ± 12.88 0.597 135.75 ± 3.00 137.92 ± 4.95 0.813 122.52 ± 3.02 117.35 ± 4.36 0.571
SFA/UFA 0.65 ± 0.00 0.61 ± 0.02 0.546 0.86 ± 0.02 0.89 ± 0.01 0.803 0.7 ± 0.00 0.74 ± 0.01* 0.228
PβOx 3.69 ± 0.52 3.29 ± 7.47 0.775 74.66 ± 13.07 92.57 ± 14.00 0.803 19.17 ± 1.47 20.76 ± 6.38 0.716
FOREBRAIN
DIENCEPHALON SUBCORTICAL TELENCEPHALON
Thalamus Hippocampus Caudate Putamen
Middle-aged Elderly Sig Middle-aged Elderly Sig Middle-aged Elderly Sig Middle-aged Elderly Sig
14:0 0.67 ± 0.04 0.68 ± 0.04 0.976 0.88 ± 0.01 0.79 ± 0.18 0.759 0.63 ± 0.02 0.6 ± 0.07 0.671 0.62 ± 0.01 0.64 ± 0.05 0.809
16:0 18.08 ± 0.64 18.78 ± 0.91 0.934 20.99 ± 0.65 21.7 ± 0.65 0.759 21.46 ± 0.35 21.55 ± 0.50 0.932 19.39 ± 0.35 20.13 ± 0.57 0.568
16:1n7 1.34 ± 0.06 1.23 ± 0.14 0.761 1.26 ± 0.05 1.21 ± 0.22 0.759 0.92 ± 0.04 0.87 ± 0.05 0.673 0.89 ± 0.03 1.13 ± 0.11 0.309
18:0 23.36 ± 0.25 22.37 ± 0.59 0.687 22.01 ± 0.23 22.3 ± 0.39 0.759 25.41 ± 0.20 25.63 ± 0.98 0.693 24.05 ± 0.33 23.42 ± 0.37 0.470
18:1n9 23.06 ± 0.93 23.41 ± 1.55 0.937 20.88 ± 0.89 20.18 ± 1.21 0.759 17.43 ± 0.50 17.04 ± 0.64 0.762 18.49 ± 0.37 19.77 ± 0.98 0.470
18:1n7 4.51 ± 0.09 4.42 ± 0.30 0.934 4.69 ± 0.14 4.56 ± 0.28 0.759 4.69 ± 0.08 4.56 ± 0.11 0.682 4.48 ± 0.17 4.75 ± 0.12 0.520
18:2n6 0.66 ± 0.07 1.33 ± 0.59 0.687 0.64 ± 0.06 0.69 ± 0.05 0.759 1.03 ± 0.11 1.01 ± 0.10 0.942 1.08 ± 0.09 0.94 ± 0.21 0.632
18:3n3 0.09 ± 0.00 0.08 ± 0.00 0.761 0.06 ± 0.00 0.05 ± 0.01 0.759 0.07 ± 0.00 0.05 ± 0.00* 0.195 0.07 ± 0.00 0.07 ± 0.01 0.899
18:4n3 0.03 ± 0.00 0.04 ± 0.00 0.687 0.02 ± 0.00 0.02 ± 0.00 0.759 0.05 ± 0.00 0.04 ± 0.00 0.297 0.02 ± 0.00 0.02 ± 0.00 0.892
20:0 0.2 ± 0.00 0.33 ± 0.11 0.687 0.15 ± 0.01 0.15 ± 0.02 0.862 0.17 ± 0.00 0.2 ± 0.00* 0.195 0.17 ± 0.00 0.19 ± 0.01 0.394
20:1n9 1.74 ± 0.14 1.53 ± 0.25 0.796 1 ± 0.15 0.81 ± 0.39 0.759 0.85 ± 0.07 0.66 ± 0.10 0.297 1.03 ± 0.06 1.01 ± 0.14 0.934
20:2n6 0.36 ± 0.03 0.33 ± 0.04 0.687 0.45 ± 0.07 0.37 ± 0.08 0.759 0.17 ± 0.01 0.14 ± 0.02 0.368 0.22 ± 0.01 0.2 ± 0.02 0.763
20:3n6 0.9 ± 0.05 0.86 ± 0.08 0.796 1.25 ± 0.08 1.19 ± 0.07 0.759 1.03 ± 0.05 1.04 ± 0.07 0.935 1.03 ± 0.06 0.89 ± 0.06 0.394
20:4n6 7.76 ± 0.29 8.9 ± 1.03 0.687 8.82 ± 0.40 9.3 ± 0.70 0.759 9.23 ± 0.28 10.44 ± 0.42* 0.195 9.33 ± 0.21 9.45 ± 0.34 0.899
20:5n3 0.11 ± 0.01 0.11 ± 0.02 0.934 0.04 ± 0.01 0.04 ± 0.00 0.817 0.07 ± 0.00 0.08 ± 0.01 0.912 0.07 ± 0.01 0.06 ± 0.03 0.899
22:0 0.11 ± 0.01 0.18 ± 0.08 0.687 0.1 ± 0.01 0.09 ± 0.02 0.759 0.08 ± 0.00 0.07 ± 0.00 0.389 0.1 ± 0.00 0.09 ± 0.02 0.711
22:1n9 0.94 ± 0.03 0.81 ± 0.16 0.937 0.84 ± 0.10 0.55 ± 0.10* 0.705 1.32 ± 0.07 1.24 ± 0.12 0.671 1.02 ± 0.03 0.4 ± 0.25 0.579
22:4n6 5.12 ± 0.13 4.27 ± 0.26* 0.401 5.34 ± 0.09 4.96 ± 0.26* 0.705 4.72 ± 0.06 4.51 ± 0.11 0.297 5.38 ± 0.10 4.68 ± 0.27** 0.118
22:5n6 0.84 ± 0.08 0.6 ± 0.13 0.586 1.15 ± 0.11 1.03 ± 0.11 0.759 0.81 ± 0.06 0.63 ± 0.07 0.265 0.81 ± 0.05 0.56 ± 0.07* 0.202
22:5n3 0.34 ± 0.01 0.41 ± 0.04 0.586 0.3 ± 0.01 0.31 ± 0.02 0.759 0.28 ± 0.01 0.29 ± 0.02 0.673 0.31 ± 0.01 0.31 ± 0.01 0.987
22:6n3 7.69 ± 0.60 7.72 ± 0.96 0.937 7.64 ± 0.50 8.53 ± 0.93 0.759 8.52 ± 0.26 8.67 ± 0.34 0.839 10 ± 0.24 9.87 ± 0.57 0.899
24:0 0.34 ± 0.08 0.27 ± 0.05 0.796 0.03 ± 0.00 0.03 ± 0.09 0.759 0.17 ± 0.02 0.09 ± 0.01* 0.195 0.02 ± 0.00 0.02 ± 0.03* 0.309
24:1n9 1.39 ± 0.24 1.04 ± 0.23 0.694 1.14 ± 0.20 0.89 ± 0.20 0.759 0.69 ± 0.08 0.45 ± 0.08 0.27 1.14 ± 0.10 1.06 ± 0.20 0.899
24:5n3 0.05 ± 0.00 0.07 ± 0.00* 0.511 0.04 ± 0.00 0.04 ± 0.00 0.890 0.06 ± 0.00 0.06 ± 0.00 0.666 0.04 ± 0.00 0.06 ± 0.00 0.311
24:6n3 0.32 ± 0.04 0.25 ± 0.03 0.687 0.26 ± 0.04 0.2 ± 0.02 0.759 0.14 ± 0.01 0.09 ± 0.01* 0.195 0.26 ± 0.03 0.28 ± 0.05 0.899
ACL 18.53 ± 0.01 18.47 ± 0.01* 0.416 18.46 ± 0.01 18.44 ± 0.03 0.759 18.45 ± 0.00 18.44 ± 0.01 0.601 18.6 ± 0.01 18.51 ± 0.02** 0.167
SFA 42.75 ± 0.62 42.6 ± 1.26 0.937 44.17 ± 0.69 45.06 ± 0.71 0.759 47.91 ± 0.33 48.13 ± 0.50 0.839 44.35 ± 0.31 44.49 ± 0.91 0.913
UFA 57.25 ± 0.62 57.4 ± 1.26 0.937 55.83 ± 0.69 54.94 ± 0.71 0.759 52.09 ± 0.33 51.87 ± 0.50 0.839 55.65 ± 0.31 55.51 ± 0.91 0.913
MUFA 32.98 ± 1.34 32.44 ± 2.05 0.937 29.82 ± 1.30 28.21 ± 2.38 0.759 25.91 ± 0.71 24.82 ± 0.78 0.601 27.04 ± 0.55 28.12 ± 1.32 0.711
PUFA 24.27 ± 0.75 24.96 ± 1.06 0.796 26.01 ± 0.66 26.73 ± 1.82 0.759 26.18 ± 0.48 27.05 ± 0.47 0.535 28.61 ± 0.29 27.39 ± 0.63 0.319
PUFAn3 8.64 ± 0.58 8.68 ± 0.90 0.937 8.36 ± 0.47 9.19 ± 0.90 0.759 9.2 ± 0.24 9.28 ± 0.35 0.912 10.77 ± 0.20 10.66 ± 0.50 0.899
PUFAn6 15.64 ± 0.28 16.28 ± 1.30 0.796 17.65 ± 0.35 17.54 ± 0.94 0.863 16.98 ± 0.30 17.78 ± 0.41 0.379 17.84 ± 0.30 16.73 ± 0.29** 0.167
DBI 144.4 ± 2.97 145.16 ± 3.27 0.956 147.71 ± 2.51 150.64 ± 7.02 0.759 145.67 ± 1.56 148.21 ± 1.78 0.601 159.55 ± 0.88 155.72 ± 2.94 0.319
PI 127.6 ± 5.46 128.06 ± 6.90 0.976 133.56 ± 4.69 139.7 ± 11.29 0.759 136.66 ± 2.59 140.35 ± 2.68 0.625 152.54 ± 1.55 147.47 ± 4.76 0.470
SFA/UFA 0.75 ± 0.01 0.74 ± 0.04 0.937 0.79 ± 0.02 0.82 ± 0.02 0.759 0.92 ± 0.01 0.93 ± 0.01 0.839 0.8 ± 0.01 0.8 ± 0.03 0.899
PβOx 29.85 ± 3.86 33.91 ± 6.53 0.934 37.07 ± 6.16 48.54 ± 9.09 0.759 70.59 ± 11.74 109.16 ± 14.86 0.249 43.02 ± 5.80 48.88 ± 10.68 0.892
FOREBRAIN
CORTICAL TELENCEPHALON
Occipital cortex Parietal cortex Temporal cortex
Middle-aged Elderly Sig Middle-aged Elderly Sig Middle-aged Elderly Sig
14:0 0.81 ± 0.03 0.7 ± 0.04 0.494 0.84 ± 0.04 0.7 ± 0.02* 0.557 0.82 ± 0.01 0.85 ± 0.03 0.773
16:0 21.76 ± 0.36 21.18 ± 0.37 0.825 21.11 ± 0.57 20.56 ± 0.49 0.846 24.73 ± 0.36 24.11 ± 0.83 0.503
16:1n7 1.17 ± 0.06 1.02 ± 0.13 0.705 1.3 ± 0.07 1.14 ± 0.07 0.846 0.98 ± 0.05 0.94 ± 0.10 0.773
18:0 24.52 ± 0.26 23.74 ± 0.49 0.494 24.38 ± 0.39 24.28 ± 0.38 0.973 24.87 ± 0.18 25.09 ± 0.12 0.756
18:1n9 17.89 ± 0.58 18.54 ± 0.92 0.977 19.72 ± 0.81 19.85 ± 0.63 0.973 15.11 ± 0.42 16.28 ± 0.69 0.231
18:1n7 3.94 ± 0.11 4.00 ± 0.19 0.982 4.3 ± 0.10 4.3 ± 0.26 0.996 3.33 ± 0.06 3.51 ± 0.19 0.699
18:2n6 1.05 ± 0.12 1.15 ± 0.12 0.977 1.21 ± 0.11 1.21 ± 0.13 0.996 0.94 ± 0.10 1.05 ± 0.10 0.773
18:3n3 0.06 ± 0.00 0.06 ± 0.00 0.982 0.08 ± 0.00 0.07 ± 0.00 0.846 0.04 ± 0.00 0.04 ± 0.00 0.978
18:4n3 0.03 ± 0.00 0.04 ± 0.00 0.494 0.04 ± 0.00 0.04 ± 0.00 0.973 0.03 ± 0.00 0.03 ± 0.00 0.823
20:0 0.19 ± 0.00 0.21 ± 0.00 0.494 0.21 ± 0.00 0.2 ± 0.00 0.973 0.16 ± 0.00 0.18 ± 0.00* 0.147
20:1n9 1.03 ± 0.09 1.02 ± 0.11 0.987 1.19 ± 0.16 1.04 ± 0.16 0.863 0.46 ± 0.05 0.52 ± 0.17 0.773
20:2n6 0.25 ± 0.02 0.21 ± 0.02 0.817 0.30 ± 0.03 0.25 ± 0.01 0.846 0.16 ± 0.01 0.15 ± 0.05 0.773
20:3n6 0.99 ± 0.05 0.97 ± 0.07 0.982 1.08 ± 0.054 1.02 ± 0.07 0.863 1.11 ± 0.07 1.02 ± 0.06 0.756
20:4n6 7.33 ± 0.23 7.38 ± 0.31 0.982 7.71 ± 0.32 8.02 ± 0.27 0.876 9.96 ± 0.31 9.1 ± 0.41 0.231
20:5n3 0.06 ± 0.012 0.06 ± 0.00 0.982 0.07 ± 0.00 0.06 ± 0.02 0.921 0.08 ± 0.01 0.07 ± 0.00 0.773
22:0 0.09 ± 0.00 0.10 ± 0.00 0.982 0.11 ± 0.01 0.11 ± 0.01 0.973 0.05 ± 0.00 0.06 ± 0.01 0.756
22:1n9 2.18 ± 0.10 2.28 ± 0.27 0.982 0.74 ± 0.04 0.48 ± 0.07 0.846 0.86 ± 0.39 1.07 ± 0.20 0.782
22:4n6 3.9 ± 0.13 3.51 ± 0.12 0.494 4.08 ± 0.13 3.88 ± 0.12 0.846 4.43 ± 0.11 4.04 ± 0.15* 0.173
22:5n6 0.78 ± 0.05 0.65 ± 0.09 0.592 0.84 ± 0.09 0.72 ± 0.09 0.846 0.96 ± 0.08 0.66 ± 0.06* 0.164
22:5n3 0.33 ± 0.01 0.37 ± 0.02 0.502 0.3 ± 0.01 0.34 ± 0.03 0.759 0.34 ± 0.02 0.36 ± 0.03 0.773
22:6n3 10.49 ± 0.29 11.69 ± 0.59 0.502 8.95 ± 0.43 10.37 ± 0.46 0.557 10.04 ± 0.27 10.4 ± 0.57 0.756
24:0 0.14 ± 0.019 0.13 ± 0.032 0.982 0.22 ± 0.04 0.2 ± 0.03 0.973 0.04 ± 0.00 0.06 ± 0.04 0.509
24:1n9 0.80 ± 0.10 0.80 ± 0.16 0.987 0.97 ± 0.22 0.83 ± 0.13 0.936 0.24 ± 0.06 0.28 ± 0.22 0.773
24:5n3 0.04 ± 0.00 0.03 ± 0.00 0.792 0.05 ± 0.00 0.07 ± 0.01 0.742 0.06 ± 0.00 0.04 ± 0.00* 0.147
24:6n3 0.16 ± 0.01 0.17 ± 0.02 0.982 0.19 ± 0.02 0.26 ± 0.07 0.846 0.19 ± 0.02 0.09 ± 0.03** 0.057
ACL 18.49 ± 0.01 18.54 ± 0.01* 0.494 18.42 ± 0.02 18.47 ± 0.01 0.557 18.39 ± 0.01 18.38 ± 0.02 0.773
SFA 47.51 ± 0.47 46.05 ± 0.71 0.494 46.88 ± 0.76 46.05 ± 0.78 0.846 50.68 ± 0.46 50.35 ± 0.77 0.773
UFA 52.49 ± 0.47 53.95 ± 0.71 0.494 53.12 ± 0.76 53.95 ± 0.78 0.846 49.32 ± 0.46 49.65 ± 0.77 0.773
MUFA 27.02 ± 0.85 27.66 ± 1.38 0.982 28.22 ± 1.23 27.66 ± 1.17 0.973 20.98 ± 0.71 22.6 ± 1.53 0.254
PUFA 25.48 ± 0.48 26.3 ± 0.85 0.825 24.91 ± 0.54 26.3 ± 0.43 0.646 28.34 ± 0.46 27.06 ± 0.86 0.231
PUFAn3 11.17 ± 0.29 12.43 ± 0.58 0.494 9.68 ± 0.41 11.19 ± 0.42* 0.557 10.77 ± 0.31 11.03 ± 0.57 0.773
PUFAn6 14.3 ± 0.39 13.86 ± 0.30 0.793 15.22 ± 0.36 15.11 ± 0.30 0.973 17.57 ± 0.42 16.02 ± 0.33* 0.147
DBI 147.77 ± 1.58 153.92 ± 3.38 0.500 143.21 ± 1.98 151.26 ± 1.78* 0.557 152.85 ± 1.72 149.47 ± 3.06 0.517
PI 141.57 ± 2.60 149.4 ± 5.77 0.705 132.58 ± 3.79 144.17 ± 3.66 0.557 152.02 ± 2.57 147.29 ± 5.51 0.517
SFA/UFA 0.91 ± 0.01 0.85 ± 0.024 0.494 0.89 ± 0.02 0.85 ± 0.02 0.846 1.03 ± 0.01 1.01 ± 0.02 0.773
PβOx 84.36 ± 14.11 80.57 ± 17.42 0.982 58.46 ± 12.84 60.12 ± 13.10 0.973 61.01 ± 11.706 135.92 ± 22.40** 0.057
FOREBRAIN
CORTICAL TELENCEPHALON
Entorhinal cortex Frontal cortex Cingulate cortex
Middle-aged Elderly Sig Middle-aged Elderly Sig Middle-aged Elderly Sig
14:0 0.79 ± 0.03 0.81 ± 0.03 0.866 0.84 ± 0.04 0.77 ± 0.04 0.953 0.95 ± 0.05 0.87 ± 0.03 0.934
16:0 20.98 ± 0.66 20.03 ± 0.85 0.695 22.16 ± 0.51 22.09 ± 0.36 0.964 23.73 ± 0.93 22.52 ± 0.80 0.934
16:1n7 1.29 ± 0.07 1.52 ± 0.17 0.691 1.38 ± 0.08 1.28 ± 0.08 0.953 1.38 ± 0.12 1.52 ± 0.15 0.934
18:0 24.38 ± 0.27 23.82 ± 0.36 0.691 24.33 ± 0.26 24.28 ± 0.49 0.964 22.79 ± 0.41 22.49 ± 0.42 0.934
18:1n9 18.74 ± 0.95 20.86 ± 1.28 0.691 17.94 ± 0.84 18.03 ± 0.56 0.964 18.56 ± 1.18 19.53 ± 0.87 0.934
18:1n7 4.05 ± 0.16 4.11 ± 0.22 0.908 3.91 ± 0.11 3.85 ± 0.25 0.964 3.97 ± 0.11 4.14 ± 0.28 0.934
18:2n6 0.78 ± 0.08 0.83 ± 0.09 0.866 1.13 ± 0.07 1.12 ± 0.10 0.964 0.81 ± 0.10 0.86 ± 0.08 0.934
18:3n3 0.05 ± 0.00 0.06 ± 0.00 0.695 0.06 ± 0.00 0.05 ± 0.00 0.953 0.06 ± 0.00 0.07 ± 0.00 0.934
18:4n3 0.03 ± 0.00 0.03 ± 0.00 0.759 0.04 ± 0.00 0.03 ± 0.00 0.953 0.03 ± 0.00 0.03 ± 0.00 0.934
20:0 0.21 ± 0.00 0.23 ± 0.01 0.691 0.25 ± 0.08 0.19 ± 0.01 0.953 0.19 ± 0.00 0.22 ± 0.00** 0.376
20:1n9 0.88 ± 0.15 1.06 ± 0.14 0.705 0.82 ± 0.10 0.76 ± 0.09 0.964 0.94 ± 0.23 1.07 ± 0.18 0.934
20:2n6 0.31 ± 0.04 0.32 ± 0.03 0.975 0.24 ± 0.02 0.21 ± 0.03 0.953 0.3 ± 0.04 0.28 ± 0.04 0.934
20:3n6 1.02 ± 0.07 0.97 ± 0.06 0.851 1.05 ± 0.04 0.99 ± 0.10 0.953 1 ± 0.05 0.98 ± 0.07 0.970
20:4n6 8.91 ± 0.37 8.17 ± 0.34 0.691 8.38 ± 0.30 8.56 ± 0.28 0.964 8.12 ± 0.30 7.75 ± 0.35 0.934
20:5n3 0.06 ± 0.00 0.06 ± 0.01 0.866 0.08 ± 0.01 0.05 ± 0.00 0.953 0.06 ± 0.01 0.05 ± 0.01 0.934
22:0 0.09 ± 0.01 0.12 ± 0.01 0.691 0.08 ± 0.00 0.08 ± 0.00 0.953 0.08 ± 0.01 0.09 ± 0.01 0.934
22:1n9 0.7 ± 0.04 0.62 ± 0.06 0.691 1.04 ± 0.12 0.96 ± 0.07 0.964 0.75 ± 0.07 0.72 ± 0.07 0.934
22:4n6 4.94 ± 0.10 4.75 ± 0.17 0.691 4.1 ± 0.11 3.91 ± 0.23 0.953 4.72 ± 0.14 4.48 ± 0.15 0.934
22:5n6 0.88 ± 0.05 0.68 ± 0.13 0.691 0.96 ± 0.10 0.73 ± 0.16 0.953 1.03 ± 0.12 0.78 ± 0.08 0.934
22:5n3 0.3 ± 0.01 0.31 ± 0.02 0.908 0.31 ± 0.01 0.34 ± 0.02 0.953 0.3 ± 0.02 0.32 ± 0.02 0.934
22:6n3 9.29 ± 0.44 8.72 ± 0.78 0.763 9.97 ± 0.49 10.87 ± 0.53 0.953 9.08 ± 0.62 9.84 ± 0.57 0.934
24:0 0.23 ± 0.053 0.34 ± 0.07 0.691 0.16 ± 0.03 0.14 ± 0.02 0.964 0.2 ± 0.08 0.22 ± 0.04 0.970
24:1n9 0.85 ± 0.19 1.32 ± 0.31 0.691 0.58 ± 0.17 0.54 ± 0.11 0.964 0.74 ± 0.29 0.93 ± 0.24 0.934
24:5n3 0.04 ± 0.00 0.05 ± 0.00 0.695 0.05 ± 0.00 0.04 ± 0.00 0.953 0.04 ± 0.00 0.04 ± 0.00 0.934
24:6n3 0.17 ± 0.03 0.23 ± 0.04 0.695 0.13 ± 0.02 0.12 ± 0.01 0.964 0.15 ± 0.04 0.18 ± 0.03 0.934
ACL 18.48 ± 0.01 18.48 ± 0.01 0.975 18.43 ± 0.00 18.44 ± 0.01 0.953 18.38 ± 0.02 18.42 ± 0.01 0.934
SFA 46.68 ± 0.82 45.36 ± 1.07 0.691 47.83 ± 0.60 47.56 ± 0.52 0.964 47.95 ± 1.10 46.41 ± 0.91 0.934
UFA 53.32 ± 0.82 54.64 ± 1.07 0.691 52.17 ± 0.60 52.44 ± 0.52 0.964 52.05 ± 1.10 53.59 ± 0.91 0.934
MUFA 26.52 ± 1.39 29.48 ± 2.00 0.691 25.68 ± 1.20 25.42 ± 0.86 0.964 26.34 ± 1.90 27.93 ± 1.58 0.934
PUFA 26.8 ± 0.58 25.16 ± 0.95 0.691 26.49 ± 0.68 27.02 ± 0.41 0.953 25.71 ± 0.85 25.67 ± 0.69 0.970
PUFAn3 9.95 ± 0.41 9.45 ± 0.73 0.787 10.63 ± 0.47 11.5 ± 0.53 0.953 9.73 ± 0.59 10.53 ± 0.56 0.934
PUFAn6 16.85 ± 0.26 15.71 ± 0.33* 0.691 15.86 ± 0.32 15.52 ± 0.63 0.953 15.98 ± 0.34 15.13 ± 0.46 0.934
DBI 150.66 ± 2.00 145.79 ± 3.38 0.691 149.4 ± 2.67 152.96 ± 1.19 0.953 145.79 ± 2.83 148.5 ± 2.14 0.934
PI 142.85 ± 4.21 133.85 ± 6.83 0.691 143.49 ± 4.71 148.97 ± 2.63 0.953 137.84 ± 5.74 140.32 ± 4.55 0.934
SFA/UFA 0.88 ± 0.02 0.83 ± 0.03 0.691 0.92 ± 0.02 0.91 ± 0.01 0.964 0.93 ± 0.03 0.87 ± 0.03 0.934
PβOx 79.71 ± 15.08 58.42 ± 20.69 0.732 91.97 ± 13.39 105.31 ± 16.42 0.953 84.06 ± 12.88 75.12 ± 18.50 0.934
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Brain regional changes in fatty acid profile: comparison of middle-aged and elderly groups

Comparison of middle-aged and elderly groups throughout the different brain regions analyzed verified the existence of minor changes (Table 2). Thus, in hindbrain, olive showed a decrease in 14:0 (30%, p < 0.05) and increase in 22:5n-3 (30%, p < 0.05) and 24:6n-3 (25%, p < 0.05), fatty acids with a very low abundance, and no involvement in general indexes in the elderly group compared to the middle-aged group, whilst vermis only showed an increase in 20:0 (22%, p < 0.01) in the elderly group, without any additional change. In the midbrain, and in a similar way to hindbrain, substantia nigra only showed an increase in 16:1n-7 (10%, p < 0.05), and the very minor fatty acids 18:4n-3 (100%, p < 0.05) and 24:0 (280%, p < 0.01), as well as SFA content (3%, p < 0.05), and a decrease in ACL (0.5%, p < 0.01) and UFA (3%, p < 0.05).

In diencephalon, thalamus showed a decrease in 22:4n-6 (17%, p < 0.05) content and ACL (0.5%, p < 0.05), and an increase in 24:5n-3 (40%, p < 0.05) content in the elderly group compared to the middle-aged group. In subcortical telencephalon, the three analyzed regions, hippocampus, caudate, and putamen, also showed minor changes in the elderly group. Thus, in hippocampus, we only found a decrease in the relative abundance of fatty acids 22:1n-9 (35%, p < 0.05) and 22:4n-6 (7%, p < 0.05); in caudate nucleus a decrease in 18:3n-3 (30%, p < 0.05), 24:0 (47%, p < 0.05), and 24:6n-3 (36%, p < 0.05), and an increase in the content of 20:0 (17%, p < 0.01) and 20:4n-6 (13%, p < 0.05); and in the putamen nucleus, a decrease in 22:4n-6 (13%, p < 0.01), 22:5n-6 (30%, p < 0.05), and PUFAn-6 (6%, p < 0.01) contents, as well as ACL (0.5%, p < 0.01).

Finally, six regions from human cerebral cortex (cortical telencephalon) were analyzed, again showing minor changes in the elderly group. Thus, in occipital cortex (areas 17–18), fatty acid composition analysis revealed a slight increase in the ACL (0.3%, p < 0.05) in the elderly group compared to the middle-aged group; in parietal cortex (area 7), a decrease in 14:0 (17%, p < 0.05) content, and increase in PUFAn-3 (15%, p < 0.05) and DBI (6%, p < 0.05) was observed; in temporal cortex (inferior temporal area 20), a decrease in 22:4n-6 (9%, p < 0.05), 22:5n-6 (31%, p < 0.05), 24:5n-3 (33%, p < 0.05), 24:6n-3 (53%, p < 0.01), and PUFAn-6 (9%, p < 0.05), and an increase in 20:0 (12%, p < 0.05) and estimation of the peroxisomal β-oxidation activity (123%, p < 0.001) was detected; in entorhinal cortex, the only observed change was a decrease in PUFAn-6 content (7%, p < 0.05); in frontal cortex (area 8), no change was verified; and finally, in cingulate cortex (area 24), only a slight increase in 20:0 (15%, p < 0.01) was revealed.

Because of the large number of tests, adjustment for multiple comparisons was assessed using the Benjamini–Hochberg false discovery rate (FDR) analysis. p values when comparing the two groups of cases is shown in Table 2. As a result, only 24:0 and ACL in substantia nigra, and 24:6n-3 and peroxisomal β-oxidation in the temporal cortex were sustained following multiple comparison adjustment.

Brain regional changes in estimated desaturase and elongase activity: general traits

Since some of the observed changes in the elderly group may be due to alterations in the activity of the enzymes involved in the fatty acid biosynthesis, elongase and desaturase activity was estimated from specific product/substrate ratios. The outcomes confirm the existence of minor changes induced by aging across the different brain regions (Supplementary Table S1). Overall, the higher estimated desaturase activity corresponds first to delta-5-desaturase (D5D, r20:4n-6/20:3n-6), and then to delta-6-desaturase (b) (D6D (b), r24:6n-3/24:5n-3), with D5D being systematically higher than D6D in all brain regions with the only exception of olive (medulla oblongata), where D6D is higher than D5D. For elongases, the higher activity corresponds to Elovl2-5 (n-3) (r22:5n-3/20:5n-3) followed by Elovl3 (n-9) (c) (r24:1n-9/22:1n-9) and Elovl6 (r18:0/16:0); this observation is maintained in all brain regions.

Brain regional changes in estimated desaturase and elongase activity: comparison of middle-aged and elderly groups

The changes observed on the elderly compared with the middle-aged group were region-dependent. Specifically, in the hindbrain, a reduced Elovl1-3–7 (a) (p < 0.01) and (b) (p < 0.05) estimated activity in vermis was observed. In the midbrain, substantia nigra showed an increased estimated D6D (a) (p < 0.05), Elovl1-3–7 (c) (p < 0.001), and Elovl2 activity (p < 0.05), and decrease in D6D (b) activity (p < 0.05). In the diencephalon, thalamus D6D (b) and Elovl2-5 (n-6) estimated activity was decreased (p < 0.05 and p < 0.05, respectively). In the subcortical telencephalon, a reduced estimated activity of Elovl1-3–7 (b) and (c) (p < 0.01 and p < 0.05, respectively), Elovl3 (a) (p < 0.05), and Elovl2-5(n-6) (p < 0.05), and very slight increase of Elovl1-3–7 (a) (p < 0.05) activity were found in the caudate nucleus, whereas in the putamen nucleus Elovl1-3–7 (b) activity was decreased (p < 0.05) along with an enhanced Elovl1-3–7 (c) and Elovl2 activity (both p < 0.05). Finally, in the six regions of the human cerebral cortex (cortical telencephalon), little changes were observed and included a very small increase in Elovl1-3–7 (a) activity (p < 0.05) in the occipital cortex, reduced D6D (b) (p < 0.05) and Elovl2 (p < 0.05) along with an enhanced Elovl6 (p < 0.05) and Elovl1-3–7 (a) (p < 0.05) estimated activity in the temporal cortex, and a slight increase of Elovl1-3–7 (a) (p < 0.05) in cingulate cortex. No changes in the estimated enzymatic activity were detected in olive (hindbrain), hippocampus (subcortical telencephalon), and parietal, entorhinal, and frontal cortex (cortical telencephalon). These results suggest a global increase of the Elovl1-3–7 (a) along with a reduced Elovl1-3–7 (b) and D6D (b) estimated activities in the elderly.

Because of the large number of tests, adjustment for multiple comparisons was assessed using the Benjamini–Hochberg false discovery rate (FDR) analysis. p values when comparing the two groups of cases are shown in Table S1. As a result, only elovl3-7 (b) and (c) and elovl2 in putamen were sustained following multiple comparison adjustment.

Brain regional changes in lipid composition as a function of age

An additional approach was used to learn about the lipid composition changes as a function of age, as a continuous variable instead of dichotomizing the data into a middle-aged and an elderly cohort. To this end, the existence of correlations between fatty acid composition and age was evaluated by applying a Spearman correlation test. Results are presented in Supplementary Table S2 and Figs. 1, 2, 3, 4, 5, 6, and 7. Remarkably, in addition to previously observed changes in fatty acid composition with age comparing middle-aged vs elderly groups (also confirmed by the correlation analysis), new relationships appeared as a continuum with the correlation analysis in diverse brain regions. Reinforcing our findings, potential interference of the variables of gender and post-mortem time (PMT) in the age-based trajectories of the different fatty acids and indexes was ruled out after applying the corresponding statistical analysis (data not shown).

Fig. 1.

Fig. 1

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Scatterplots by region based on significant correlations between fatty acids and calculated indexes and age in hindbrain and midbrain: olive, vermis, and substantia nigra

Fig. 2.

Fig. 2

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Scatterplots by region based on significant correlations between fatty acids and calculated indexes and age in diencephalon and subcortical telencephalon: thalamus, anterior putamen, head of the caudate, and hippocampus

Fig. 3.

Fig. 3

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Scatterplots by region based on significant correlations between fatty acids and calculated indexes and age in cortical telencephalon: frontal cortex area 8, parietal cortex area 7, occipital cortex areas 17–18, and entorhinal cortex

Fig. 4.

Fig. 4

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Scatterplots by region based on significant correlations between fatty acids and calculated indexes and age in cingulate gyrus (area 24)

Fig. 5.

Fig. 5

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Cingulate cortex (A) and temporal cortex (B) changes in fatty acid composition associated with the aging process. Figure is based on data presented in Tables 1 and 2 and Figs. 4 and 6. Green boxes and rows represent increased content of individual FA or enhanced estimated activity in aged individuals compared to the middle-aged. Orange boxes and rows represent reduced content of individual FA or decreased estimated activity in aged individuals compared to the middle-aged. Gray text and rows represent unchanged content of individual FA or estimated activity in aged individuals compared to the middle-aged

Fig. 6.

Fig. 6

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Scatterplots by region based on significant correlations between fatty acids and calculated indexes and age in inferior temporal cortex (area 20)

Fig. 7.

Fig. 7

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Correlation matrix for integrative indexes calculated from fatty acid composition to evaluate the existence of regional relationships. A Average chain length (ACL); B saturated fatty acids (SFA); C Unsaturated fatty acids (UFA); D monounsaturated fatty acids (MUFA); E polyunsaturated fatty acids n-6 series (PUFAn6), F polyunsaturated fatty acids series n-3 (PUFAn3); G double bond index (DBI); H peroxidizability index (PI). Brain regions: CG, cingulate gyrus; CN, caudate nucleus; EC, entorhinal cortex; FC, frontal cortex; H, hippocampus; O, olive; P, putamen; PC, parietal cortex; SN, substantia nigra; T, thalamus; TC, temporal cortex; V, vermis; VC, visual (occipital) cortex

More specifically, in the hindbrain, the correlation analysis did not provide additional changes with age in olive and vermis (Fig. 1). In the midbrain, in substantia nigra, an additional negative correlation was detected in PUFA (p = 0.025) content and DBI (p = 0.023) with age (Fig. 1). In the diencephalon, in thalamus, an increase in the content of 22:5n-3 (p = 0.023) was added (Fig. 2). In the subcortical telencephalon, in the hippocampus, an increase in PUFAn-3 (p = 0.034), and in the putamen, an increase with age in the content of 16: 0 (p = 0.022) and 24:5n-3 (p = 0.006) was additionally observed (Fig. 2). Especially noteworthy is the amplitude of the additional change detected in the caudate, with a decrease in the content of the fatty acids 20:1n-9 (p = 0.03), 22:4n-6 (p = 0.007), 22:5n-6 (p = 0.049), and 24:1n-9 (p = 0.033) (Fig. 2). At the cortical telencephalon level, the following new correlations should be highlighted: in occipital cortex, decrease in content of 18:0 (p = 0.012); in parietal cortex, decrease in content of 14:0 (p = 0.027), and increase in content of 22:6n-3 (p = 0.007) and, concomitantly, ACL (p = 0.006), PUFA (p = 0.015), and PI (p = 0.019); in entorhinal cortex, the increase in 20:0 (p = 0.017); and in frontal cortex, the increase in 20:0 (p = 0.023), and the decrease in 22:5n-6 (p = 0.018) (Fig. 3). Cingulate cortex and temporal cortex require special mention.

Cingulate cortex, which is located in the medial region of the cortical telencephalon, appears to be the region most affected by the aging process out of the thirteen included in the present study (Tables 2, S1 and S2, and Fig. 4). Thus, in addition to the increased content of 20:0 (p < 0.01) detected in the comparison between middle-age vs elderly individuals, the following new correlations should be added: decreased content with age of 16:0 (p = 0.008), 20:4n-6 (p = 0.025), 22:5n-6 (p = 0.018), SFA (p = 0.008), PUFAn-6 (p = 0.003), and ratio SFA/UFA (p = 0.008); and increased content with age of 16:1n-7 (p = 0.024), 18:1n-9 (p = 0.026), 20:1n-9 (p = 0.04), 22:0 (p = 0.023), 24:0 (p = 0.021), 24:1n-9 (p = 0.018), 24:6n-3 (p = 0.019), ACL (p = 0.009), UFA (p = 0.008), and MUFA (p = 0.027). Globally, these changes may be attributed to enhanced metabolic activity of the elongases and desaturases involved in the biosynthesis of SFA and MUFA from 16:0 (Table S2 and Fig. 5A).

Fatty acid composition of an additional region located in the cortical telencephalon, the inferior temporal cortex, is also profoundly affected by the aging process (Tables 2, S1 and S2, and Fig. 6). Thus, aside from the changes detected in the comparison between middle-age and elderly individuals, the correlation analysis did provide additional changes with age. Thus, a decrease in the content of 20:4n-6 (p = 0.034), 22:4n-6 (p = 0.002), 22:5n-6 (p = 0.006), 24:5n-3 (p = 0.024), 24:6n-3 (p = 0.011), ACL (p = 0.04), PUFA (p = 0.022), PUFAn-6 (p = 0.001), DBI (p = 0.033), and PI (p = 0.047) was observed with age; while 18:1n-9 (p = 0.001), MUFA (p = 0.02), and peroxisomal β-oxidation activity (p = 0.001) showed an increase with age. All these changes are suggestive of alterations with age in the PUFAn-6 biosynthesis pathway, as well as at the peroxisomal level (Fig. 5B).

Adjustment for multiple correlations was assessed using the Benjamini–Hochberg false discovery rate (FDR) analysis. p values at FDR 10% are shown in Table 3 and Table S2. After correction, fatty acid content and derived indexes in substantia nigra, hippocampus, caudate, occipital cortex, parietal cortex, entorhinal cortex, frontal cortex, and age as a continuum were no longer significant. Significant correlations were maintained in olive for 14:0 (p = 0.001); in vermis for 20:0 (p = 0.035); in thalamus for 22:4n-6 (p = 0.001) and ACL (p = 0.001); in putamen for 22:4n-6 (p = 0.001) and ACL (p = 0.001); in temporal inferior cortex for 18:1n-9 (p = 0.018), 22:4n-6 (p = 0.023) and PUFAn-6 (p = 0.018), and in cingulate cortex for 16:0 (p = 0.045), 20:0 (p = 0.045), ACL (p = 0.045), SFA (p = 0.045), UFA (p = 0.045), PUFAn-6 (p = 0.045), and ratio SFA/UFA (p = 0.045).

Table 3.

Statistics of the FDR adjustment for multiple correlations

Brain region Variable rho P value (original) P value at FDR 10%
Hindbrain Olive 14:0  − 0.801 0.001 0.001
Vermis 20:0 0.745 0.001 0.035
Diencephalon Thalamus 22:4n6  − 0.862 0.001 0.001
ACL  − 0.823 0.001 0.001
Subcortical telencephalon Putamen 22:4n6  − 0.810 0.001 0.001
ACL  − 0.812 0.001 0.001
Cortical telencephalon Temporal cortex 18:1n9 0.709 0.001 0.018
22:4n6  − 0.685 0.006 0.023
PUFAn6  − 0.708 0.001 0.018
Cingulate cortex 16:0  − 0.630 0.008 0.045
20:0 0.700 0.003 0.045
ACL 0.630 0.009 0.045
SFA  − 0.640 0.008 0.045
UFA 0.640 0.008 0.045
PUFAn6  − 0.690 0.003 0.045
SFA/UFA  − 0.640 0.008 0.045
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p value threshold at FDR 10%. ACL, average chain length; SFA, saturated fatty acids; UFA, unsaturated fatty acids; PUFAn6, polyunsaturated fatty acids series n6. Only significant differences are indicated. For more information, see Table S2

Finally, we have developed a series of correlation matrixes for integrative indexes in order to evaluate the existence of regional relationships (Fig. 7). The results show that the regional relationships are very restricted without apparent general patterns. The index with the greatest regional relationships is PUFAn-6.

Discussion

The human brain aging process induces changes at all levels of biological organization, although with a heterogeneous interregional impact, which demands adaptive responses in order to preserve the composition and function within physiological limits. The lipid bilayer that composes neuronal and glial cell membranes is not on the sidelines; consequently, the longer the optimal membrane lipid profile is sustained, the better neural cell function and survival.

The first evidence of changes in the lipid profile in the human brain during aging revealed, analyzing the whole brain, that there is a slow and progressive decrease with age in the total lipid content from the second-third decade of life [17–19]. Later on, different studies analyzing specific lipid classes (mostly glycerophospholipids) in diverse regions of human brain confirmed the occurrence of age-related lipid changes in terms of a decreased phospholipid content which is again very slow and progressive throughout the adult lifespan and varying in a region-dependent way [20, 21], but is accelerated at advanced age (over 80 years old) [21–24]. Furthermore, human brain cholesterol content also showed a very similar behavior with age [21, 24]. More recent studies analyzing the microsomal and mitochondrial lipidome, particularly the main phospholipid classes, of entorhinal cortex, frontal cortex, and hippocampus of subjects from 20 to 100 years old, found that minor fractions of phospholipids specifically containing PUFAn-6 slightly decrease during adult life, while phospholipid species containing PUFAn-3 increase during the same period [25–27]. In this line of minor changes with age, and even compositional stability during adult life, no significant changes were observed in the different classes of lipids and composition in fatty acids of human frontal cortex membrane microdomains (lipid rafts) in subjects with an age range between 24 and 85 years [28].

The fatty acid profile and its changes with aging have also been the subject of study in various works. In these studies, different regions of the human cerebral cortex such as frontal cortex (area 8) [29, 30], prefrontal cortex [26], orbitofrontal cortex (area 10) [31], entorhinal cortex [27], and hippocampus [25] of healthy adults with an age ranging from 20 to 80 years were analyzed. Globally, the outcomes of these studies suggest a general preservation of the fatty acid composition during adult life with minor changes, if at all, preferentially expressed as a decrease in PUFAn-6 content, and maintenance or slight increase in PUFAn-3 content, with and eventual fall at more advanced ages. Our findings reinforce these previous observations in frontal cortex, entorhinal cortex, and hippocampus, and extend this relative preservation of the fatty acid profile to other human brain regions such as olive (medulla oblongata), upper vermis (cerebellum), substantia nigra, thalamus, head of the caudate nucleus, anterior putamen, occipital (visual) cortex, and parietal cortex. In contrast, cingulate gyrus and inferior temporal cortex showed an entirely different tendency, with broad involvement of their fatty acid profiles.

Inferior temporal cortex area 20 and cingulate gyrus area 24 are the two brain regions most affected by aging, showing the most extensive changes in fatty acid profiles. Notably, the two regions share some changes, while others are region specific, highlighting the increased content in MUFAs, ascribed to the 18:1n-9 acyl chain, and decreased content of PUFAn-6, basically due to a decreased content of 20:4n-6 and 22:5n-6. While the 18:1n-9 increase could be attributed to an increase in D9D activity, the 20:4n-6 and 22:5n-6 decreases do not appear to depend on changes in the desaturase and elongase activity of their biosynthesis pathway, so the alteration in their content should be attributed to potential increases in its consumption [32], since they are fatty acids that act as substrates for the biosynthesis of eicosanoids and resolvins, respectively [9]. The consequences of these specific fatty acid profile changes are multiple. Thus, the changes in MUFAs and PUFAn-6 abundance can have repercussions at two levels: the first of them with implications in the geometric properties of lipids that can negatively affect functions such as exocytosis and formation of membrane microdomains [4]; and as to the second, the roles of affected PUFAn-6 are key in the generation of lipid mediators and, in particular, the synthesis of bioactive lipids with anti-inflammatory and neuroprotective properties that ensure cell survival and normal functioning during normal aging [9, 33]. Therefore, we hypothesize that the changes at the molecular and cellular levels described during human aging in the inferior frontal cortex [34, 35] and cingulate cortex [36]—which can give rise to functional losses in high-level visual processing and recognition memory, as well as emotional regulation, attention, and the integration of emotional and cognitive processes, respectively—may have as a substrate, at least in part, the alterations of the lipid profile described in this study. However, the underlying molecular mechanisms that determine the high susceptibility of these brain areas to the aging process instead of other regions is a question that remains unknown and more studies are needed to clarify this finding.

In contrast to the compositional sustainability with aging that characterizes most brain areas, in pathological conditions such as Alzheimer’s disease (AD) a marked change in temporal trajectory of the lipid profile is observed. Effectively, the involvement of lipid alterations in AD brains has been well-established in the last years, in particular with reference to PUFA and cholesterol contents (reviewed in [37–39]). Alterations of lipid profile affecting both gross brain lipids and lipid rafts were described in different brain regions affected by AD such as entorhinal cortex, hippocampus, and frontal cortex. In particular, it has been reported abnormally low levels of PUFAn-3 (mainly 22:6n-3) and monoenes, along with lower 20:4n-6 and cholesterol contents, among other lipidomic alterations [39, 40]. Importantly, these changes were exhibited at advanced stage of AD, but also in very early stages of the disease, suggesting that lipid alterations are early events in the pathogenesis of AD. Concomitantly, an increased level of lipoxidative damage specifically targeted to proteins involved in energy metabolism, cytoskeleton, neurotransmission, proteostasis, and oxygen metabolism has been described in AD [39]. Interestingly, these affected biological processes play a central role in the neuronal lost and subsequent functional decline associated with AD [39]. Thus, it can be hypothesized that a combination of increased oxidative stress, deficits in mitochondrial bioenergetics, and disruption of lipid homeostasis overcomes the ability to maintain lipid membrane composition, becoming a seminal condition during the development of the disease, in contrast to what occurs during normal brain aging.

Another interesting observation of the present study is that some of the observed changes in fatty acid profile with age showed a breakpoint after the age of 50. This finding is in line with additional changes such as transcriptional defects related to mitochondrial electron transport chain and signaling pathways involved in neuronal survival, decreased concentration of the main lipid classes, and increased oxidation-derived protein damage that also take place at this age [38, 41–43]. In this context, it is plausible to postulate that these adaptive changes might represent, when they reach a threshold value, the molecular substrate determining a bifurcation of the normal temporal trajectory toward the onset of AD pathology.

Globally, age-associated changes in terms of individual fatty acid content in the brain are heterogeneous. Thus, forebrain appears to be the region most affected by the aging process. Few changes were found in substantia nigra in the midbrain, whereas hindbrain global fatty acid composition appeared to be unaffected by the aging process. Our findings also suggest that major adult human brain fatty acids undergo slight but progressive and significant changes in their abundance during the aging process, with some changes showing a breakpoint after the age of 50. However, the individual contribution of these fatty acid patterns to the aging process is as yet unknown. Therefore, goals of future research are to define which types of lipid molecular species change with age in the different human brain regions, to extend the lipidomics analysis to additional brain regions not studied, to analyze lipid patterns according to neural cell-type specificity, and how they relate both to the function of the area and to the dysfunction leading to neuropathology. Indeed, it is not yet known whether the changes in fatty acids represent neutral changes with age, changes causing physiological aspects of aging, or adaptative responses to damaging agents. In any case, the findings described here suggest that fatty acids and their metabolism are closely linked to human brain aging.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 86 KB) (85.8KB, docx)

Acknowledgements

M.J. is a “Serra-Hunter” Fellow. We thank Alba Naudí and David Argiles for technical support. We thank T. Yohannan for editorial help.

Author contribution

Conceptualization, M.J., I.F., and R.P.; methodology, M.J., I.F., and R.P.; software, N.M-M., M.J., J.S., and R.P.; formal analysis, N.M-M., P.A-B., M.M-G., J.D.G-L., J.S., and A.F-B.; investigation, M.P-O., M.J., and R.P.; resources, R.P.; data curation, N.M-M., J.S., M.J., M.P-O., and R.P.; writing, original draft preparation, M.J., I.F., and R.P.; writing, review and editing, M.J., I.F., and R.P.; visualization, M.J., and R.P.; supervision, M.J., and R.P.; project administration, R.P.; funding acquisition, R.P. All authors have read and agreed upon the published version of the manuscript.

Funding

Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This research was funded by the Spanish Ministry of Science, Innovation, and Universities (grant RTI2018-099200-B-I00), the IRBLleida-Dipuatació de Lleida (PIRS2021), and the Generalitat of Catalonia: Agency for Management of University and Research Grants (2017SGR696) to R.P. This study was co-financed by FEDER funds from the European Union (“A way to build Europe”). IRBLleida is a CERCA Programme/Generalitat of Catalonia.

Data availability

The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Declarations

Ethics approval

The study was conducted according to the guidelines of the Declaration of Helsinki, the guidelines of Spanish legislation (Real Decreto 1716/2011), and the approval of the local ethics committee (CEIC/1981).

Informed consent

Not applicable.

Conflict of interest

The authors declare no competing interests.

Footnotes

Publisher's note

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Contributor Information

Natalia Mota-Martorell, Email: nataliamotamartorell@gmail.com.

Pol Andrés-Benito, Email: pol.andres.benito@gmail.com.

Meritxell Martín-Gari, Email: meritxell.martin@udl.cat.

José Daniel Galo-Licona, Email: jgalolic25@gmail.com.

Joaquim Sol, Email: solcullere@gmail.com.

Anna Fernández-Bernal, Email: anna.fernandez@udl.cat.

Manuel Portero-Otín, Email: manuel.portero@udl.cat.

Isidro Ferrer, Email: 8082ifa@gmail.com.

Mariona Jove, Email: mariona.jove@udl.cat.

Reinald Pamplona, Email: reinald.pamplona@udl.cat.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary file1 (DOCX 86 KB) (85.8KB, docx)

Data Availability Statement

The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.

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