Skip to main content
Frontiers in Nutrition logoLink to Frontiers in Nutrition
. 2026 Sep 4;13:1860047. doi: 10.3389/fnut.2026.1860047

Metabolic switching in MASLD: therapeutic roles of ketogenic diet, intermittent fasting, and the gut-liver axis

Purvi Kaur Khanuja 1,†, Vrinda Mohan 2,†, Alejandro Perez Martinez 3,†, Milind Nellutla 4, Mariam Alamgir 5,*,†, Ayesha Anjum 6, Fadi Ali Jamaleddin Ahmad 7,†, Taiwo Shola Oguntona 8,†, Hussam Ahmed Mohamed Ali Saari 9,†, Dakshayini Suresh 10, Nabeel Ansar 11,†, Mahmood Alaawad 12,†, Zainab Hadi 13
PMCID: PMC13587464  PMID: 42761797

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is common and clinically heterogeneous, with fibrosis stage serving as a major determinant of long-term liver-related risk. This focused narrative review evaluates ketogenic dietary interventions and intermittent fasting as metabolic-switching strategies while explicitly distinguishing conventional or eucaloric ketogenic diets, very-low-energy ketogenic therapy, non-ketogenic low-carbohydrate diets, and distinct fasting protocols. Both approaches can reduce body weight, improve insulin sensitivity, and decrease hepatic steatosis in selected patients, but much of the human evidence is short-term and protocol-dependent. Mechanistic effects attributed to beta-hydroxybutyrate, including inflammasome inhibition, histone modification, and mitochondrial signaling, are supported predominantly by cell and animal studies and have not been directly confirmed in patients with MASLD. The gut-liver axis provides a biologically plausible link through intestinal permeability, microbial metabolites, bile acid signaling, and hepatic innate immunity; however, direct human evidence that ketogenic diets or intermittent fasting restore gut-barrier function remains limited. No trial has directly compared a well-defined ketogenic intervention with documented nutritional ketosis against intermittent fasting. Therefore, relative efficacy, durability, adherence, and weight-loss-independent effects remain uncertain. Clinical use should prioritize fibrosis risk stratification, nutritional adequacy, comorbidity-specific safety, and integration with evidence-based lifestyle and pharmacologic care.

Keywords: gut–liver axis, intermittent fasting, ketogenic diet, metabolic dysfunction-associated steatotic liver disease, metabolic switching, nutritional ketosis, precision nutrition, very-low-energy ketogenic therapy

Highlights

  • Ketogenic and intermittent fasting interventions should be classified by protocol, energy intake, and confirmation of nutritional ketosis.

  • Short-term human evidence supports improvements in liver fat and metabolic biomarkers, but long-term and fibrosis outcomes remain uncertain.

  • Beta-hydroxybutyrate signaling and epigenetic effects are biologically plausible but are supported predominantly by preclinical evidence.

  • No direct trial has compared a well-defined ketogenic diet with documented ketosis against intermittent fasting in MASLD.

  • Clinical use requires fibrosis risk stratification, a review of nutritional and medication safety, and integration with guideline-based care.

Introduction

Metabolic dysfunction-associated steatotic liver disease (MASLD), which is frequently diagnosed incidentally, is defined by hepatic steatosis together with at least one cardiometabolic risk factor after consideration of other causes of steatosis and clinically relevant alcohol exposure (1, 2). Formerly referred to as nonalcoholic fatty liver disease (NAFLD), it is now designated as MASLD to better reflect its underlying metabolic drivers without defining the disease simply by the absence of alcohol use (3). MASLD encompasses a spectrum ranging from isolated steatosis to metabolic dysfunction-associated steatohepatitis (MASH), progressive fibrosis, cirrhosis, and hepatocellular carcinoma, with a heterogeneous course rather than an obligatory linear sequence (2, 4, 5). The fibrosis stage is the main determinant of liver-related outcomes, making early risk stratification central to clinical management.

Published prevalence estimates vary. Some reports suggested that more than 38% of people worldwide have MASLD, whereas contemporary pooled analyses estimate that approximately 30–32% of adults worldwide have steatotic liver disease consistent with the former NAFLD definition (6–8). Prevalence is particularly high among people with type 2 diabetes, obesity, central adiposity, dyslipidemia, or hypertension (9). Delayed diagnosis may contribute to serious hepatic and extrahepatic complications. MASLD is an increasingly important cause of cirrhosis, liver transplantation, and hepatocellular carcinoma (HCC) worldwide and is reported to be the leading cause of cirrhosis and liver transplantation in women and the second most common in men (10).

MASLD is more prevalent in men than in women, with approximately 15,731 and 14,310 cases per 100,000, respectively. Peak prevalence has been reported in ages 45–49 years in men and 50–54 years in women. In the United States, approximately 18.5% of men and 10.3% of women have MASLD (11).

Several challenges limit the effectiveness of current lifestyle and pharmacologic interventions for MASLD. Adherence to lifestyle and medication-based therapies can be difficult to sustain; no single treatment is universally effective for all patients, and available therapies differ in effectiveness and safety profiles (12).

Guideline-based management begins with assessment of metabolic comorbidities and fibrosis risk. A simple blood-based score such as the Fibrosis-4 index (FIB-4) is generally used as an initial test, followed by vibration-controlled transient elastography or another second-line method when indicated (2). Lifestyle treatment remains foundational. Clinically meaningful weight reduction improves steatosis and cardiometabolic risk, whereas greater sustained weight loss is generally required to improve steatohepatitis and fibrosis. A Mediterranean-style dietary pattern, reduced intake of ultra-processed foods and sugar-sweetened beverages, regular physical activity, and individualized alcohol counseling form the broader evidence-based lifestyle context (2, 13, 14).

This review has a deliberately narrow focus, examining two approaches that can promote a metabolic shift away from persistent glucose reliance: ketogenic dietary interventions and intermittent fasting (IF). The term ketogenic diet (KD) is used only when carbohydrate restriction is intended to trigger nutritional ketosis. A conventional or eucaloric KD provides adequate energy and generally limits daily carbohydrate intake to approximately 30–50 g/day or less while providing a relatively high proportion of dietary fat. Energy-restricted ketogenic regimens are distinct; very-low-energy ketogenic therapy (VLEKT), formerly termed a very-low-calorie ketogenic diet (VLCKD), typically provides fewer than 800 kcal/day under structured clinical supervision (15, 16). A low-carbohydrate or high-fat diet should not be classified as ketogenic unless ketosis is measured or otherwise documented.

Literature search strategy and selection criteria

This focused narrative review synthesized literature on KD, VLEKT/VLCKD, non-ketogenic low-carbohydrate diets, intermittent fasting protocols, and the gut-liver axis in MASLD. PubMed and Google Scholar were searched for English-language publications from January 2015 through January 2026, supplemented by major earlier studies and current society guidelines or regulatory documents when relevant. Search terms included “MASLD” or “NAFLD” in combination with “ketogenic diet,” “nutritional ketosis,” “very-low-energy ketogenic therapy,” “low-carbohydrate diet,” “intermittent fasting,” “time-restricted eating,” “alternate-day fasting,” “5:2 diet,” “gut microbiota,” “intestinal permeability,” and “bile acids.”

Human randomized trials, prospective interventions, observational studies, systematic reviews, and meta-analyses were prioritized for clinical outcomes. Preclinical studies were excluded from the assessment of clinical efficacy and were incorporated selectively to describe mechanistic plausibility when relevant human data were lacking. Such claims are explicitly identified as preclinical or experimental. Studies of low-carbohydrate diets without verified ketosis are considered separately from ketogenic interventions and are not used to support ketone-specific signaling claims. The synthesis is qualitative because of substantial heterogeneity in intervention definitions, energy intake, cointerventions, adherence assessment, and outcome measurement.

Pathophysiology of MASLD

Insulin resistance, fatty-acid flux, and lipotoxicity

Hepatic triglyceride accumulation reflects an imbalance among fatty-acid influx, synthesis, oxidation, and secretion. Major sources of hepatic fatty acids include nonesterified fatty acids released from adipose tissue, dietary fatty acids delivered through chylomicron remnants, and hepatic de novo lipogenesis from carbohydrate substrates (5, 17–19). Insulin resistance increases adipose lipolysis and hepatic substrate delivery, while compensatory hyperinsulinemia may continue to stimulate sterol regulatory element-binding protein 1c (SREBP1c) and de novo lipogenesis. This pattern of selective hepatic insulin resistance helps explain how glucose production and lipogenesis can remain inappropriately active at the same time (5, 18, 19).

Triglyceride storage and lipotoxicity should not be considered interchangeable. Esterification into triglyceride droplets may temporarily buffer excess fatty acids, whereas saturated fatty acids, diacylglycerols, ceramides, free cholesterol, and other harmful lipid species can disrupt insulin signaling, endoplasmic reticulum function, and organelle homeostasis (4, 5, 9). Whether steatosis remains stable or progresses to MASH depends on genetic susceptibility, adipose-tissue dysfunction, diet, physical activity, microbiome-related factors, and the balance between injury and repair.

Oxidative stress, mitochondrial dysfunction, and inflammatory signaling pathways

Mitochondrial adaptation is dynamic. Although increased beta-oxidation may initially offset lipid accumulation, sustained substrate excess can increase electron leakage, reactive oxygen species, incomplete oxidation, and mitochondrial stress (20, 21). Oxidative injury activates stress kinases and inflammatory pathways, including c-Jun N-terminal kinase and nuclear factor kappa B. Hepatocytes, Kupffer cells, recruited monocyte-derived macrophages, hepatic stellate cells, endothelial cells, and cholangiocytes contribute to a complex inflammatory and fibrogenic network. Injured hepatocytes release danger signals; macrophage-derived cytokines amplify inflammation; and transforming growth factor beta and related pathways activate stellate cells and extracellular matrix deposition (4, 9, 20–22). Fibrosis therefore reflects the cumulative effects of recurrent injury, immune signaling, and incomplete repair rather than a single cytokine-driven process. Table 1 summarizes the integrated mechanisms and physiological processes underlying MASLD progression.

Table 1.

Integrated mechanisms and physiological processes underlying MASLD progression.

Process Principal drivers Key cells/pathways Clinical consequence
Fatty-acid influx and de novo lipogenesis (5, 17–19) Adipose insulin resistance, dietary fat, excess carbohydrate, hyperinsulinemia Adipose lipolysis; chylomicron-remnant delivery; SREBP1c-mediated lipogenesis Hepatic triglyceride storage; substrate overload; variable progression
Lipotoxicity (4, 5, 9) Toxic lipid species rather than triglyceride alone DAG/ceramide signaling, ER stress, membrane and organelle dysfunction Insulin resistance, hepatocyte stress, inflammatory signaling
Mitochondrial adaptation and dysfunction (20, 21) Sustained lipid oxidation and nutrient overload Initially increased oxidation, followed by incomplete oxidation, electron leakage, and ROS Oxidative injury and impaired metabolic flexibility
Innate and adaptive inflammation (4, 23–27) Cell injury, LPS, cytokines, danger-associated signals Kupffer cells, recruited macrophages, lymphocytes, hepatocytes, endothelial cells MASH activity and amplification of insulin resistance
Fibrogenesis (4, 9) Repeated injury and incomplete repair TGF-beta and related signaling activate hepatic stellate cells and matrix deposition Fibrosis progression, cirrhosis, and liver-related risk

The gut–liver axis in MASLD

Intestinal permeability and endotoxemia

The gut-liver axis is a bidirectional network linking intestinal contents and the liver through portal circulation, bile acids, microbial metabolites, and immune pathways (23–25). The epithelial barrier, mucus layer, tight-junction proteins, antimicrobial peptides, and mucosal immune cells limit hepatic exposure to microbial products. Dysbiosis, increased intestinal permeability, and impaired barrier integrity have been associated with MASLD, although causal direction and interindividual variability remain important sources of uncertainty.

When barrier function is impaired, pathogen-associated molecular patterns such as lipopolysaccharide (LPS) can enter the portal circulation. LPS activates toll-like receptor 4 signaling in Kupffer cells and other hepatic cell types, leading to nuclear factor kappa B activation and release of tumor necrosis factor alpha, interleukin-6, and other mediators (23–27). This pathway may worsen insulin resistance, inflammation, and fibrogenic signaling. Figure 1 depicts this disease-pathogenesis cascade and is intentionally distinct from Figure 2, which focuses on the proposed effects of dietary interventions and the limitations of the supporting evidence.

Figure 1.

Illustration showing increased zonulin loosening intestinal tight junctions, allowing lipopolysaccharides (LPS) to cross into the portal vein and reach the liver, activating Kupffer cells via TLR4 signaling to produce inflammatory cytokines IL-6 and TNF-alpha, leading to hepatic inflammation and steatosis.

Gut-liver axis in MASLD pathogenesis. Schematic of the bidirectional interaction between the gut and liver in metabolic dysfunction-associated steatotic liver disease (MASLD). Increased intestinal permeability allows lipopolysaccharide (LPS) to translocate into the portal circulation, triggering toll-like receptor 4 (TLR4) signaling and downstream inflammatory pathways, including nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB). This cascade leads to hepatic inflammation, insulin resistance, and disease progression. LPS, lipopolysaccharide; TLR4, toll-like receptor 4; NF-κB, nuclear factor kappa-light-chain-enhancer of activated B cells; IL-6, interleukin 6; TNF-α, tumor necrosis factor alpha. Created with BioRender.com.

Figure 2.

Diagram comparing MASLD-related barrier dysfunction with disrupted tight junctions, increased permeability, and inflammation on the left, to potential response to ketogenic diet or intermittent fasting with more intact junction proteins and reduced inflammation on the right. Interpretation notes biological plausibility but limited direct evidence in humans.

MASLD-related intestinal-barrier dysfunction and the proposed response to ketogenic diets or intermittent fasting. Intervention-focused schematic contrasting MASLD-associated intestinal-barrier dysfunction with a proposed response to ketogenic diets or intermittent fasting. Potential changes in permeability, microbial metabolism, portal LPS exposure, and hepatic inflammatory signaling are presented as protocol-dependent mechanisms. Direct human evidence that KD or IF restores gut-barrier function in MASLD remains limited. IF, intermittent fasting; KD, ketogenic diet; LPS, lipopolysaccharide; MASLD, metabolic dysfunction-associated steatotic liver disease; NF-κB, nuclear factor kappa B; TLR4, toll-like receptor 4.

Bile acids and microbial metabolites

Gut microbiota also convert primary bile acids into secondary bile acids and modulate farnesoid X receptor (FXR) and Takeda G-protein-coupled receptor 5 (TGR5) signaling. These pathways influence lipid and glucose metabolism, intestinal integrity, and immune regulation (25, 28). Short-chain fatty acids, indole derivatives, endogenous ethanol, and other microbial metabolites may also be relevant; however, microbial signatures vary among populations and are not currently suitable for selecting KD or IF in routine care.

Metabolic switching as a therapeutic target

Ketogenesis is the hepatic production of acetoacetate, acetone, and beta-hydroxybutyrate (BHB) when carbohydrate availability and insulin signaling are sufficiently reduced. Ketosis is the physiological state in which circulating ketone bodies become a meaningful fuel source. Fasting, prolonged exercise, and a well-formulated KD can induce this state (29–31). In contrast, a low-carbohydrate diet may improve energy balance or glycemia without producing sustained nutritional ketosis.

Ketone bodies have functions beyond serving as energy substrates. Experimental studies show that BHB can regulate G protein-coupled receptors, suppress the NLRP3 inflammasome, influence histone deacetylation and lysine beta-hydroxybutyrylation, and modify oxidative stress responses (29, 30, 32). Evidence for these signaling and epigenetic effects comes primarily from cellular systems and animal models. Although these findings provide biological plausibility, their magnitude and clinical relevance have not been directly established in people with MASLD. Figure 3, therefore, distinguishes clinically observed human outcomes from predominantly preclinical molecular mechanisms.

Figure 3.

Comparison chart illustrating differences between fed or glucose-dominant and fasted or ketogenic metabolic states, highlighting insulin levels, substrate use, signaling pathways, and human outcomes, along with a note on evidence hierarchy and clinical versus preclinical outcomes.

Glucose-dominant and fasted/ketogenic metabolic states with an evidence hierarchy. Schematic comparing glucose-dominant and fasted/ketogenic metabolic states. The figure separates clinically observed short-term outcomes, including changes in weight, liver fat, insulin sensitivity, and selected liver enzymes, from ketone-specific molecular mechanisms that remain predominantly preclinical. AcAc, acetoacetate; AMPK, AMP-activated protein kinase; BHB, beta-hydroxybutyrate; MASLD, metabolic dysfunction-associated steatotic liver disease; SIRT1, sirtuin 1.

Clinical studies and meta-analyses indicate that intermittent fasting (IF) may reduce body weight and improve insulin sensitivity, aminotransferase levels, and hepatic fat measures over several weeks to months; however, outcomes vary by protocol and frequency and are often associated with caloric restriction and weight loss (1, 33–36). Likewise, carbohydrate-restricted interventions can reduce hepatic fat and improve glycemic or lipid measures (11, 37–44).

Gut-barrier reprogramming and hepatic inflammation

Diet quality influences intestinal barrier biology. Mediterranean-style dietary patterns are generally associated with greater fiber and polyphenol intake, whereas Western dietary patterns rich in ultra-processed foods may promote dysbiosis and impaired barrier integrity (13, 14). These observations provide relevant background but do not demonstrate that KD or IF necessarily produces the same effects.

Human evidence that a ketogenic diet restores intestinal tight junction integrity in MASLD is limited. Ketogenic interventions may influence Akkermansia, bile-salt hydrolase activity, short-chain fatty acid producers, and bile-acid metabolism, but findings vary based on fat quality, fiber intake, energy deficit, medication exposure, and baseline microbiome composition (27, 45). IF may influence microbial rhythmicity, short-chain fatty-acid production, and endotoxemia through meal timing and energy restriction (46–48). Most available data come from small cohorts, populations without MASLD, or secondary mechanistic literature. Zonulin is also an imperfect, assay-dependent marker of permeability and should not be considered a definitive measure of barrier restoration.

Figure 2, therefore, presents barrier improvement as a proposed, protocol-specific mechanism rather than a confirmed clinical outcome. Potential benefits may result from weight loss, improved glycemic control, reduced hepatic lipid accumulation, circadian alignment, or altered microbial metabolism. The extent to which these changes independently reduce portal LPS exposure or Kupffer-cell activation in people with MASLD remains uncertain.

Ketogenic diets and intermittent fasting: evidence-informed comparison

KD and IF share several downstream effects, including lower average insulin exposure, greater reliance on fatty acid oxidation, and potential activation of AMPK, SIRT1, and autophagy-related pathways, but they achieve these effects through different nutritional and behavioral structures (46, 49–51). A conventional ketogenic diet changes daily macronutrient intake, whereas intermittent fasting changes the timing or frequency of food intake and may not reduce total caloric intake. VLEKT combines ketosis with severe energy restriction, a formula-based structure, and close clinical supervision; therefore, its outcomes cannot be attributed to ketosis alone (15, 16).

Clinical evidence is strongest for short-term changes in weight, liver fat, insulin sensitivity, and aminotransferases. Evidence is substantially weaker for fibrosis regression, hard clinical outcomes, long-term nutritional adequacy, and benefits independent of weight loss. The randomized comparison by Holmer et al. evaluated a low-carbohydrate, high-fat diet against 5:2 intermittent calorie restriction (52). Because nutritional ketosis was not documented, this study is not a direct KD-versus-IF comparison and cannot establish the comparative effectiveness of ketone-mediated treatment.

No existing trial has directly compared a well-defined ketogenic intervention with documented nutritional ketosis against a standardized intermittent fasting (IF) protocol in people with MASLD. Accordingly, claims that IF is inherently more sustainable or that ketogenic diets (KD) produce greater short-term effects are not supported by direct comparative evidence. In practice, selection should be individualized according to patient preferences, fibrosis risk, diabetes management, renal and hepatic function, food availability, cultural considerations, history of disordered eating, and ability to adhere to monitoring (15, 16, 46, 49–52). Table 2 summarizes the evidence without implying superiority.

Table 2.

KD vs. IF.

Domain Ketogenic interventions Intermittent fasting
Definition Conventional/eucaloric KD: severe carbohydrate restriction intended to induce ketosis with adequate energy. VLEKT/VLCKD: usually <800 kcal/day and medically supervised. Non-ketogenic LCD/LCHF should be analyzed separately (15, 16, 76). TRE, alternate-day fasting, periodic fasting, or 5:2 energy restriction. Ramadan fasting is a cultural/religious exposure rather than a prescribed clinical protocol (35, 46, 50, 77).
Best-supported human outcomes Short-term reductions in weight, liver fat, and insulin resistance; much clinical evidence derives from energy-restricted programs or unverified ketosis (41–44). Short-term reductions in weight, liver fat, and insulin resistance; magnitude varies by protocol and energy deficit (1, 34, 58, 61, 78, 79).
Mechanistic evidence Fatty-acid oxidation and ketogenesis are established physiology; BHB inflammasome, epigenetic, and direct antifibrotic effects are mainly preclinical (29, 30, 32, 45, 49). Meal timing, energy restriction, circadian alignment, and autophagy are plausible; direct human hepatic autophagy and gut-barrier evidence is limited (46, 47, 50, 51, 80, 81).
Key confounders Energy restriction, weight loss, protein adequacy, fat quality, and whether ketosis was actually achieved (15, 16, 42, 52). Total energy intake, compensatory eating, fasting-window adherence, meal timing, and medication adjustment (50, 52, 57).
Safety considerations Ketogenic symptoms, constipation, variable dyslipidemic response, micronutrient/fiber adequacy, SGLT2 inhibitor-associated ketoacidosis, and advanced liver/kidney disease (14, 16, 45, 82). Hypoglycemia with glucose-lowering therapy, dizziness, fatigue, headache, disordered-eating risk, frailty, and pregnancy (14, 50, 82, 83).
Comparative certainty No direct trial versus standardized IF with documented nutritional ketosis (52). The LCHF-versus-5:2 trial is informative but is not a true KD-versus-IF comparison because ketosis was not documented (52).
Clinical interpretation Potential option when carefully defined, nutritionally adequate, monitored, and aligned with patient preference (2, 14, 82, 83). Potential option when the schedule is safe, feasible, and sustainable for the individual patient (2, 14, 50, 83).

Clinical translation

Patient selection and monitoring

Potential candidates for a restrictive dietary regimen include adults with noncirrhotic MASLD, obesity or central adiposity, insulin resistance, and a strong preference for the selected protocol. Before initiation, clinicians should assess fibrosis risk, nutritional status, sarcopenia or frailty, renal function, glycemic management, cardiovascular risk, pregnancy status, and history of disordered eating. Advanced cirrhosis, decompensation, inadequate nutritional reserves, pregnancy or lactation, childhood, and significant eating disorders generally warrant avoidance or specialist-directed care. Patients taking insulin, sulfonylureas, or sodium-glucose cotransporter 2 inhibitors require medication review because fasting or carbohydrate restriction may increase the risk of hypoglycemia or euglycemic ketoacidosis.

Monitoring intensity should match the intensity of intervention. Baseline and follow-up assessments may include weight and waist circumference, blood pressure, dietary intake, liver enzymes, renal function, electrolytes, glycemia, hemoglobin A1c, lipid profile, and symptoms. When a ketogenic diet is prescribed, measured blood BHB can confirm attainment of ketosis and improve interpretability. FIB-4 and secondary elastography should be used for fibrosis-risk assessment rather than as short-term dietary-response markers (2). A dietitian-led, multidisciplinary approach can support protein, micronutrient, and fiber adequacy while reducing attrition. Figure 4 summarizes key elements for the clinical implementation of metabolic dietary interventions in MASLD.

Figure 4.

Clinical framework for considering ketogenic diet or intermittent fasting in adults with MASLD. The flowchart begins with fibrosis-risk assessment, metabolic profile, contraindications, and adherence capacity, followed by selection of a nutritionally adequate ketogenic or fasting protocol. Baseline and follow-up monitoring includes liver enzymes, metabolic and insulin-resistance markers, and hepatic fat when applicable. The final section lists outcomes to assess, including changes in liver fat and metabolic health. The diagram represents a framework for individualized evaluation and monitoring and does not imply that these outcomes are guaranteed with either intervention.

Clinical translation of metabolic dietary interventions in MASLD. Proposed framework for clinical implementation of ketogenic diets (KD) and intermittent fasting (IF) in MASLD, including fibrosis-risk assessment, patient selection, metabolic and hepatic monitoring, and individualized evaluation of outcomes. ALT, alanine aminotransferase; AST, aspartate aminotransferase; HbA1c, hemoglobin A1c; HOMA-IR, homeostatic model assessment of insulin resistance; IF, intermittent fasting; KD, ketogenic diet; MASLD, metabolic dysfunction-associated steatotic liver disease. Created with BioRender.com.

Pharmacotherapy as an adjunct to lifestyle treatment

Dietary strategies should complement rather than replace disease-modifying therapy. Resmetirom received U.S. Food and Drug Administration approval in 2024 for adults with noncirrhotic MASH/NASH and moderate-to-advanced fibrosis used with diet and exercise (53, 54). In 2025, semaglutide, a GLP-1 agonist, received an indication for adults with MASH and moderate-to-advanced fibrosis for use in conjunction with diet and exercise, based on interim histologic results from the ESSENCE program (55, 56). Pharmacotherapy remains phenotype- and label-specific; dietary interventions should be coordinated with treatment of obesity, diabetes, hyperlipidemia, and hypertension.

Monitoring and safety

Available short-term evidence suggests that IF and KD can be implemented without major safety signals in selected patients with metabolic liver disease; clinical studies have generally not shown clinically important adverse changes in lipid profiles, liver enzymes, glycemic markers, blood pressure, or body composition during the intervention period (45). Studies of IF and low-carbohydrate regimens also emphasize the need for structured monitoring rather than routine exclusion of these dietary approaches. Baseline evaluation should include an assessment of hepatic steatosis and fibrosis risk, liver and renal function, metabolic markers, and nutritional status, with follow-up of liver enzymes, weight, and metabolic parameters to assess efficacy and identify adverse effects (57).

Although serious adverse events appear uncommon, mild symptoms such as dizziness, fatigue, or gastrointestinal intolerance have been reported, supporting individualized follow-up and multidisciplinary oversight (58). Figure 4 provides a clinical framework for risk-stratification, patient selection, monitoring, and outcome assessment in MASLD.

Biomarker monitoring

Biochemical and imaging assessments should be interpreted according to their intended clinical role. Aminotransferases and metabolic markers can change over weeks to months, whereas FIB-4 and the NAFLD Fibrosis Score (NFS) are fibrosis-risk stratification tools and should not be treated as validated markers of short-term responses to KD or IF. Imaging-based liver-fat measurements are more sensitive for detecting changes in steatosis, while elastography provides complementary information about fibrosis risk. Table 3 summarizes commonly used monitoring measures and their interpretation during these interventions.

Table 3.

Monitoring measures in MASLD and their interpretation during KD or IF.

Measure Clinical role Interpretation during intervention References
ALT/AST Hepatocellular injury; may be normal despite advanced disease Can decrease with weight loss and liver-fat reduction; not a fibrosis measure (43, 44, 79)
GGT Oxidative/metabolic liver stress; nonspecific Short-term decreases reported; VLEKT and energy restriction must be distinguished (42, 84)
HOMA-IR/fasting insulin Insulin resistance Often improves with weight loss, carbohydrate restriction, or fasting (80, 85)
Lipid profile Cardiometabolic risk and intervention safety Triglycerides often fall; LDL response to KD is variable and requires monitoring (86, 87)
CRP and cytokines Systemic inflammation; limited specificity May improve with weight loss; BHB-specific anti-inflammatory effects in humans remain uncertain (81, 88)
Zonulin/LPS-related measures Research markers of permeability/endotoxemia Assay limitations and limited human MASLD validation; not routine clinical markers (48, 89)
FIB-4 First-line fibrosis-risk score based on age, AST, ALT, platelet count Use for baseline risk stratification and longitudinal clinical context; it is not a validated short-term diet-response biomarker (2)
NFS Composite fibrosis-risk score including age, BMI, glycemia, platelets, albumin, AST/ALT ratio May complement risk assessment; performance varies and is not specific to diet response (2)
MRI-PDFF/CAP Quantitative or semiquantitative liver-fat assessment Preferred objective outcomes for steatosis change when available (61)
Transient elastography Liver stiffness and fibrosis risk Interpret with inflammation and weight change; useful as second-line assessment after FIB-4 (2)

Discussion: integrated synthesis and clinical position

Current evidence suggests that ketogenic dietary interventions and intermittent fasting can improve short-term metabolic and hepatic surrogate outcomes when they produce meaningful and sustained changes in energy balance, meal timing, or carbohydrate intake. Evidence is more consistent for reductions in liver fat and improvements in insulin sensitivity than for fibrosis. Diminishing effects over time may reflect reduced adherence, metabolic adaptation, compensatory intake, loss of dietary structure, or weight regain; however, long-term comparative data are limited. The intervention label alone is therefore insufficient to guide selection. A supervised very low-energy ketogenic diet may produce rapid weight loss in select patients but requires a different level of monitoring and nutritional restriction than an eucaloric ketogenic diet. Time-restricted eating may be practical for some patients but challenging for shift workers, people taking glucose-lowering medications, or those unable to maintain a regular schedule. Alternate-day or 5:2 energy restrictions may reduce weekly caloric intake but can also lead to hunger, fatigue, and compensatory eating. The preferred clinical option is one that is safe, nutritionally adequate, compatible with the patient’s lifestyle, and demonstrably effective at follow-up.

The evidence can be conceptualized in three tiers. First, short-term human studies support improvements in weight, liver fat, glycemic control, and selected liver enzymes. Second, mechanistic evidence in humans involving the microbiome, bile acids, autophagy, and ketone-signaling pathways is emerging but inconsistent. Third, many specific molecular claims, particularly those involving BHB-mediated epigenetic modulation and direct antifibrotic signaling, remain predominantly preclinical. Maintaining these distinctions helps prevent mechanistic plausibility from being presented as established clinical benefit. Figure 5 is a hypothesis-generating model of proposed ketone-body signaling pathways. Many BHB-mediated inflammatory, antioxidant, and mitochondrial effects shown in the figure are supported mainly by preclinical studies and should not be interpreted as proven clinical outcomes. Figure 6 provides a conceptual illustration of autophagosome formation and lipid-droplet clearance during fasting; direct evidence for these hepatic pathways in human MASLD remains limited.

Figure 5.

Hypothesis-generating diagram of proposed beta-hydroxybutyrate (BHB) signaling in MASLD. BHB is shown centrally with five proposed pathways: decreased hepatic lipid accumulation, enhanced mitochondrial biogenesis through PGC-1α-related signaling, inhibition of the NLRP3 inflammasome/caspase-1/IL-1β pathway, anti-inflammatory signaling including NF-κB-related effects, and reduced oxidative stress through antioxidant defenses. Arrows converge on improved liver health. These ketone-specific signaling effects are biologically plausible and are supported predominantly by cell and animal studies; they should not be interpreted as established clinical effects in people with MASLD.

Proposed ketone-body signaling pathways in MASLD. Hypothesis-generating schematic of proposed BHB-mediated metabolic and signaling pathways, including inflammasome, oxidative stress, mitochondrial, and inflammatory effects. Many ketone-specific molecular effects shown are supported predominantly by preclinical evidence and should not be interpreted as established clinical outcomes in MASLD. BHB, beta-hydroxybutyrate; NLRP3, NOD-like receptor family pyrin domain-containing 3; NF-κB, Nuclear factor kappa B; ROS, reactive oxygen species; PGC-1α, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha. Created with BioRender.com.

Figure 6.

Conceptual illustration of fasting-associated autophagy and lipophagy in MASLD. Within a liver schematic, lipid droplets are shown being enclosed by an autophagosome, followed by fusion with a lysosome to form an autolysosome and degradation of lipid contents. The pathway illustrates a proposed mechanism by which fasting could promote hepatic lipid turnover and metabolic homeostasis. This mechanism is biologically plausible, but direct evidence that fasting-induced hepatic autophagy or lipophagy mediates clinical benefit in people with MASLD remains limited.

Fasting-induced autophagy and lipophagy in MASLD. Conceptual schematic illustrating fasting-associated autophagy and lipid-droplet clearance. The pathway is mechanistically plausible, but direct evidence that these hepatic processes mediate clinical benefit in human MASLD remains limited. IF, intermittent fasting; MASLD, metabolic dysfunction-associated steatotic liver disease. Created with BioRender.com.

Knowledge gaps and future directions

Need for long-term randomized trials and observational studies

Although randomized clinical trials of KD- and IF-related interventions have reported improvements in hepatic steatosis, insulin sensitivity, and metabolic biomarkers (37, 59, 60), evidence on long-term efficacy, sustainability, and safety remains limited. In particular, the durability of hepatic fat reduction, cardiovascular outcomes, and effects on fibrosis progression are insufficiently characterized (61–63). Large, adequately powered, long-term randomized trials and multicenter cohort studies with sufficient follow-up are needed to assess adherence, nutritional adequacy, adverse effects, and comparative outcomes across dietary and lifestyle strategies (27, 64, 65). Additional research is also needed in lean or low-body mass index (BMI) populations, including Asian populations and individuals with lower BMI (66).

Biomarkers of response

A major unresolved issue is the identification of reliable and reproducible biomarkers for monitoring response to IF and KDs in MASLD (67). Heterogeneity in metabolic phenotype, gut microbiota (68), and genetic susceptibility likely contributes to variable clinical outcomes. Candidate measures include circulating ketone concentrations, indices of insulin resistance, inflammatory biomarkers, and bile-acid (BA) profiles. Integrated approaches using metabolomics, lipidomics, and microbiome profiling may help distinguish responders from nonresponders and support more precise dietary interventions (69).

Future directions

Despite growing evidence supporting KD and IF in MASLD, several gaps warrant further investigation. First, large-scale RCTs directly comparing KD with IF are lacking. Existing studies are generally short-term and heterogeneous in their dietary protocols, limiting conclusions about sustained efficacy, safety, and comparative effectiveness across diverse MASLD populations. Second, the gut microbiome is an important area for further study in MASLD, including its role in pathogenesis and treatment response. Prebiotics, probiotics, synbiotics, and postbiotics could be investigated as adjuncts to KD and IF. Modulation of microbial composition and function may enhance gut barrier integrity, reduce endotoxemia, and improve metabolic outcomes, but these approaches require further clinical validation (70, 71).

Third, combining dietary strategies with pharmacologic therapies, particularly incretin-based agents such as glucagon-like peptide-1 (GLP-1) receptor agonists, is another area for investigation. GLP-1-based therapies can support weight reduction and insulin sensitivity and may influence hepatic lipid synthesis, with potential synergy with metabolic switching induced by KD or IF that warrants further study (72, 73).

Fourth, precision nutrition offers a potential framework for individualizing dietary therapy in MASLD. Validation of biomarkers, including circulating metabolites; inflammatory markers, gut-derived signals such as zonulin and LPS; and genetic or epigenetic signatures, could help clinicians tailor KD or IF approaches to patient-specific metabolic profiles and predicted response. A personalized strategy that integrates metabolic features, gut microbiota, and lifestyle factors may improve therapeutic outcomes and adherence compared with a uniform approach. Figure 7 presents a proposed integration of clinical and molecular data, including artificial intelligence (AI)-supported decision tools, for precision nutrition in MASLD.

Figure 7.

Conceptual model of precision nutrition in MASLD. A patient with MASLD is linked to gut-microbiome sequencing, metabolomics, genetic testing, and AI-supported clinical decision tools. Clinical and molecular information is integrated to support individualized dietary selection, including ketogenic diet or intermittent fasting, and prediction of therapeutic response. The model illustrates a future precision-nutrition framework that requires prospective validation and should supplement, rather than replace, established fibrosis-risk assessment, nutritional evaluation, safety monitoring, and clinical judgment.

Precision nutrition in MASLD. Conceptual model integrating clinical phenotype, metabolic profiling, gut-microbiome analysis, biomarkers, genetics, and AI-supported decision tools with dietary strategies such as KD and IF. These approaches require prospective validation and should supplement, not replace, established fibrosis-risk assessment and clinical judgment. AI, artificial intelligence; IF, intermittent fasting; KD, ketogenic diet; MASLD, metabolic dysfunction-associated steatotic liver disease. Created with BioRender.com.

Finally, multi-omics technologies, including metabolomics, metagenomics, transcriptomics, and proteomics, may help clarify the complex interactions underlying MASLD and support the development of more targeted, individualized therapeutic strategies (74, 75).

Study limitations

This narrative review has several limitations, including selection bias, restriction to English-language studies, and heterogeneity in intervention terminology and outcome reporting. Although preclinical studies were excluded from the clinical-effect analysis, experimental and secondary mechanistic literature was selectively cited to illustrate biological pathways; many claims involving BHB signaling, epigenetics, autophagy, and gut-barrier function have not yet been directly verified in patients with MASLD. Several studies labeled as ketogenic did not confirm ketosis, and many clinical findings derive from VLEKT/VLCKD or non-ketogenic low-carb interventions. No trial directly compares a well-defined ketogenic diet with verified nutritional ketosis against a standardized intermittent fasting protocol. Most available studies are short-term, small, and confounded by factors such as weight loss, energy restriction, and intensive behavioral support. Consequently, long-term adherence, nutritional adequacy, cardiovascular outcomes, fibrosis progression, and effects independent of weight loss remain uncertain.

Conclusion

Ketogenic diets and intermittent fasting are promising adjunctive strategies for adults with MASLD, but their precise roles remain uncertain. Human evidence supports potential short-term reductions in liver fat and improvements in metabolic risk, whereas proposed mechanisms involving ketone signaling, epigenetic regulation, gut-barrier restoration, and antifibrotic effects remain largely mechanistic or preclinical. Conventional ketogenic diets, VLEKT/VLCKD, non-ketogenic low-carbohydrate diets, and distinct fasting protocols should not be treated as interchangeable interventions. In the absence of direct comparative trials, their relative effectiveness, sustainability, and benefits independent of weight loss remain unclear. Clinical use should be individualized, monitored for efficacy and safety, designed to preserve nutritional adequacy, and integrated with fibrosis-risk assessment, guideline-based lifestyle management, and appropriate pharmacotherapy.

Acknowledgments

Figures were created using BioRender.com and Microsoft PowerPoint and are used with permission.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Hirofumi Hirao, Kyoto University, Japan

Reviewed by: Flavia Prodam, University of Eastern Piedmont, Italy

Palumbo Patrizia, University Hospital of Modena, Italy

Author contributions

PK: Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. VM: Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. AP: Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. MN: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. MarA: Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. AA: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. FJ: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. TO: Formal analysis, Investigation, Validation, Visualization, Writing – original draft, Writing – review & editing. HM: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. DS: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. NA: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. MahA: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing. ZH: Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that Generative AI was used in the creation of this manuscript. During revision, generative AI-assisted tools were used to support language editing, organization, and planning for figure redesign. All scientific content, interpretations, source verification, references, and final wording were independently reviewed and approved by the authors, who take full responsibility for the manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  • 1.Abuelazm MT, Mohamed I, Naeem A, Khlidj Y, Tanashat M, Katamesh BE, et al. Intermittent fasting regimens for metabolic dysfunction-associated steatotic liver disease: a systematic review and network meta-analysis of randomized controlled trials. Eur J Gastroenterol Hepatol. (2024) 36:371–81. doi: 10.1097/MEG.0000000000002715, [DOI] [PubMed] [Google Scholar]
  • 2.European Association for the Study of the Liver (EASL), European Association for the Study of Diabetes (EASD), European Association for the Study of Obesity (EASO). EASL-EASD-EASO clinical practice guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol. (2024) 81:492–542. doi: 10.1016/j.jhep.2024.04.031, [DOI] [PubMed] [Google Scholar]
  • 3.Eslam M, Newsome PN, Sarin SK, Anstee QM, Targher G, Romero-Gomez M, et al. A new definition for metabolic dysfunction-associated fatty liver disease: an international expert consensus statement. J Hepatol. (2020) 73:202–9. doi: 10.1016/j.jhep.2020.03.039, [DOI] [PubMed] [Google Scholar]
  • 4.Schwärzler J, Grabherr F, Grander C, Adolph TE, Tilg H. The pathophysiology of MASLD: an immunometabolic perspective. Expert Rev Clin Immunol. (2024) 20:375–86. doi: 10.1080/1744666X.2023.2294046, [DOI] [PubMed] [Google Scholar]
  • 5.Carli F, Della Pepa G, Sabatini S, Vidal Puig A, Gastaldelli A. Lipid metabolism in MASLD and MASH: from mechanism to the clinic. JHEP Rep Innov Hepatol. (2024) 6:101185. doi: 10.1016/j.jhepr.2024.101185, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Rabbani N, Thornalley PJ. Molecular mechanisms of metabolic dysfunction-associated steatotic liver disease (MASLD): functional analysis of glucose and fructose metabolism pathways. Clin Sci (Lond). (2025) 139:1405–29. doi: 10.1042/CS20257727, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Younossi ZM, Golabi P, Paik JM, Henry A, Van Dongen C, Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. (2023) 77:1335–47. doi: 10.1097/HEP.0000000000000004 36626630, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, et al. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. (2022) 7:851–61. doi: 10.1016/S2468-1253(22)00165-0, [DOI] [PubMed] [Google Scholar]
  • 9.Lee WH, Kipp ZA, Bates EA, Pauss SN, Martinez GJ, Hinds TD. The physiology of MASLD: molecular pathways between liver and adipose tissues. Clin Sci (Lond). (2025) 139:1015–46. doi: 10.1042/CS20257571, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Hu XY, Li Y, Li LQ, Zheng Y, Lv JH, Huang SC, et al. Risk factors and biomarkers of non-alcoholic fatty liver disease: an observational cross-sectional population survey. BMJ Open. (2018) 8:e019974. doi: 10.1136/bmjopen-2017-019974, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.London A, Richter MM, Sjøberg KA, Wewer Albrechtsen NJ, Považan M, Drici L, et al. The impact of short-term eucaloric low- and high-carbohydrate diets on liver triacylglycerol content in males with overweight and obesity: a randomized crossover study. Am J Clin Nutr. (2024) 120:283–93. doi: 10.1016/j.ajcnut.2024.06.006, [DOI] [PubMed] [Google Scholar]
  • 12.Sakane N, Kotani K, Suganuma A, Takahashi K, Sato J, Suzuki S, et al. Effects of obesity, metabolic syndrome, and non-alcoholic or alcoholic elevated liver enzymes on incidence of diabetes following lifestyle intervention: a subanalysis of the J-DOIT1. J Occup Health. (2020) 62:e12109. doi: 10.1002/1348-9585.12109, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Muscogiuri G, Maiorino MI, Paolini B, Aversano F, Buscemi C, Cappiello I, et al. Mediterranean diet for the management of pre-existing metabolic diseases: evidence from a systematic review and meta-analysis featured in the Italian national guidelines “La Dieta Mediterranea.”. Nutr Burbank Los Angel Cty Calif. (2026) 142:112975. doi: 10.1016/j.nut.2025.112975, [DOI] [PubMed] [Google Scholar]
  • 14.Palumbo P, Di Betto G, Menozzi R, Koek GH, Buzzetti E. Pros and cons of different dietary patterns for the treatment of metabolic dysfunction-associated steatotic liver disease. Metabolism. (2026) 174:156425. doi: 10.1016/j.metabol.2025.156425, [DOI] [PubMed] [Google Scholar]
  • 15.Barrea L, Caprio M, Grassi D, Cicero AFG, Bagnato C, Paolini B, et al. A new nomenclature for the very low-calorie ketogenic diet (VLCKD): very low-energy ketogenic therapy (VLEKT). Ketodiets and nutraceuticals expert panels: “KetoNut”, Italian Society of Nutraceuticals (SINut) and the Italian Association of Dietetics and Clinical Nutrition (ADI). Curr Nutr Rep. (2024) 13:552–6. doi: 10.1007/s13668-024-00560-w, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Balestra F, Luca MD, Panzetta G, Palieri R, Shahini E, Giannelli G, et al. Advancing obesity management: the very low-energy ketogenic therapy (VLEKT) as an evolution of the “traditional” ketogenic diet. Curr Obes Rep. (2025) 14:30. doi: 10.1007/s13679-025-00622-2, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Sanders FWB, Griffin JL. De novo lipogenesis in the liver in health and disease: more than just a shunting yard for glucose. Biol Rev Camb Philos Soc. (2016) 91:452–68. doi: 10.1111/brv.12178, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bo T, Gao L, Yao Z, Shao S, Wang X, Proud CG, et al. Hepatic selective insulin resistance at the intersection of insulin signaling and metabolic dysfunction-associated steatotic liver disease. Cell Metab. (2024) 36:947–68. doi: 10.1016/j.cmet.2024.04.006, [DOI] [PubMed] [Google Scholar]
  • 19.Smith GI, Shankaran M, Yoshino M, Schweitzer GG, Chondronikola M, Beals JW, et al. Insulin resistance drives hepatic de novo lipogenesis in nonalcoholic fatty liver disease. J Clin Invest. (2020) 130:1453–60. doi: 10.1172/JCI134165, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Arroyave-Ospina JC, Wu Z, Geng Y, Moshage H. Role of oxidative stress in the pathogenesis of non-alcoholic fatty liver disease: implications for prevention and therapy. Antioxidants. (2021) 10:174. doi: 10.3390/antiox10020174, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Chen Z, Tian R, She Z, Cai J, Li H. Role of oxidative stress in the pathogenesis of nonalcoholic fatty liver disease. Free Radic Biol Med. (2020) 152:116–41. doi: 10.1016/j.freeradbiomed.2020.02.025, [DOI] [PubMed] [Google Scholar]
  • 22.Lee WH, Kipp ZA, Pauss SN, Martinez GJ, Bates EA, Badmus OO, et al. Heme oxygenase, biliverdin reductase, and bilirubin pathways regulate oxidative stress and insulin resistance: a focus on diabetes and therapeutics. Clin Sci. (2025) 139:171–98. doi: 10.1042/CS20242825, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Beyoğlu D, Idle JR. The microbiome and metabolic dysfunction-associated Steatotic liver disease. Int J Mol Sci. (2025) 26:2882. doi: 10.3390/ijms26072882, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cui C, Gao S, Shi J, Wang K. Gut-liver Axis: the role of intestinal microbiota and their metabolites in the progression of metabolic dysfunction-associated steatotic liver disease. Gut Liver. (2025) 19:479–507. doi: 10.5009/gnl240539 40336226, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Albillos A, de Gottardi A, Rescigno M. The gut-liver axis in liver disease: pathophysiological basis for therapy. J Hepatol. (2020) 72:558–77. doi: 10.1016/j.jhep.2019.10.003, [DOI] [PubMed] [Google Scholar]
  • 26.Chen J, Vitetta L. Gut microbiota metabolites in NAFLD pathogenesis and therapeutic implications. Int J Mol Sci. (2020) 21:5214. doi: 10.3390/ijms21155214, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hamamah S, Iatcu OC, Covasa M. Dietary influences on gut microbiota and their role in metabolic dysfunction-associated steatotic liver disease (MASLD). Nutrients. (2024) 17:143. doi: 10.3390/nu17010143, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Simbrunner B, Paternostro R, Reiberger T, Trauner M. Bile acid signaling in MASLD: from pathogenesis to therapeutic applications. Hepatology. (2025). doi: 10.1097/HEP.0000000000001539, [DOI] [PubMed] [Google Scholar]
  • 29.Kwon S, Jeyaratnam R, Kim KH. Targeting ketone body metabolism to treat fatty liver disease. J Pharm Pharm Sci. (2024) 27:13375. doi: 10.3389/jpps.2024.13375, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Arima Y. The impact of ketone body metabolism on mitochondrial function and cardiovascular diseases. J Atheroscler Thromb. (2023) 30:1751–8. doi: 10.5551/jat.RV22011, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Watanabe M, Tozzi R, Risi R, Tuccinardi D, Mariani S, Basciani S, et al. Beneficial effects of the ketogenic diet on nonalcoholic fatty liver disease: a comprehensive review of the literature. Obes Rev Off J Int Assoc Study Obes. (2020) 21:e13024. doi: 10.1111/obr.13024, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Puchalska P, Crawford PA. Multi-dimensional roles of ketone bodies in fuel metabolism, signaling, and therapeutics. Cell Metab. (2017) 25:262–84. doi: 10.1016/j.cmet.2016.12.022, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ranjbar M, Shab-Bidar S, Mohammadi H, Djafarian K. Effect of intermittent fasting on liver function tests: a systematic review and meta-analysis of randomized clinical trials. Nutr Rev. (2025) 83:e965–79. doi: 10.1093/nutrit/nuae070, [DOI] [PubMed] [Google Scholar]
  • 34.Saleh SAK, Santos HO, Găman MA, Cerqueira HS, Zaher EA, Alromaih WR, et al. Effects of intermittent fasting regimens on glycemic, hepatic, anthropometric, and clinical markers in patients with non-alcoholic fatty liver disease: systematic review and meta-analysis of randomized controlled trials. Clin Nutr ESPEN. (2024) 59:70–80. doi: 10.1016/j.clnesp.2023.11.009, [DOI] [PubMed] [Google Scholar]
  • 35.Faris M, Jahrami H, Abdelrahim D, Bragazzi N, BaHammam A. The effects of Ramadan intermittent fasting on liver function in healthy adults: a systematic review, meta-analysis, and meta-regression. Diabetes Res Clin Pract. (2021) 178:108951. doi: 10.1016/j.diabres.2021.108951, [DOI] [PubMed] [Google Scholar]
  • 36.Jurek JM, Zablocka-Sowinska K, Clavero Mestres H, Reyes Gutiérrez L, Camaron J, Auguet T. The impact of dietary interventions on metabolic outcomes in metabolic dysfunction-associated Steatotic liver disease (MASLD) and comorbid conditions, including obesity and type 2 diabetes. Nutrients. (2025) 17:1257. doi: 10.3390/nu17071257, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Thomsen MN, Skytte MJ, Samkani A, Weber P, Fenger M, Frystyk J, et al. Replacing dietary carbohydrate with protein and fat improves lipoprotein subclass profile and liver fat in type 2 diabetes independent of body weight: evidence from 2 randomized controlled trials. Am J Clin Nutr. (2025) 121:224–31. doi: 10.1016/j.ajcnut.2024.11.030, [DOI] [PubMed] [Google Scholar]
  • 38.Cai L, Yin J, Ma X, Mo Y, Li C, Lu W, et al. Low-carbohydrate diets lead to greater weight loss and better glucose homeostasis than exercise: a randomized clinical trial. Front Med. (2021) 15:460–71. doi: 10.1007/s11684-021-0861-6, [DOI] [PubMed] [Google Scholar]
  • 39.Goss AM, Dowla S, Pendergrass M, Ashraf A, Bolding M, Morrison S, et al. Effects of a carbohydrate-restricted diet on hepatic lipid content in adolescents with non-alcoholic fatty liver disease: a pilot, randomized trial. Pediatr Obes. (2020) 15:e12630. doi: 10.1111/ijpo.12630, [DOI] [PubMed] [Google Scholar]
  • 40.Chen J, Huang Y, Xie H, Bai H, Lin G, Dong Y, et al. Impact of a low-carbohydrate and high-fiber diet on nonalcoholic fatty liver disease. Asia Pac J Clin Nutr. (2020) 29:483–90. doi: 10.6133/apjcn.202009_29(3).0006, [DOI] [PubMed] [Google Scholar]
  • 41.Li J, Bai WP, Jiang B, Bai LR, Gu B, Yan SX, et al. Ketogenic diet in women with polycystic ovary syndrome and liver dysfunction who are obese: a randomized, open-label, parallel-group, controlled pilot trial. J Obstet Gynaecol Res. (2021) 47:1145–52. doi: 10.1111/jog.14650, [DOI] [PubMed] [Google Scholar]
  • 42.Cunha GM, Guzman G, Correa De Mello LL, Trein B, Spina L, Bussade I, et al. Efficacy of a 2-month very low-calorie ketogenic diet (VLCKD) compared to a standard low-calorie diet in reducing visceral and liver fat accumulation in patients with obesity. Front Endocrinol. (2020) 11:607. doi: 10.3389/fendo.2020.00607, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Browning JD, Baker JA, Rogers T, Davis J, Satapati S, Burgess SC. Short-term weight loss and hepatic triglyceride reduction: evidence of a metabolic advantage with dietary carbohydrate restriction. Am J Clin Nutr. (2011) 93:1048–52. doi: 10.3945/ajcn.110.007674, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Tendler D, Lin S, Yancy WS, Mavropoulos J, Sylvestre P, Rockey DC, et al. The effect of a low-carbohydrate, ketogenic diet on nonalcoholic fatty liver disease: a pilot study. Dig Dis Sci. (2007) 52:589–93. doi: 10.1007/s10620-006-9433-5, [DOI] [PubMed] [Google Scholar]
  • 45.Sun K, Li W, Chen Y, Nelson EAS, Chen X, Hui LL. Ketogenic diets and metabolic dysfunction-associated steatotic liver disease: a literature review. Cell Biosci. (2026) 16:5. doi: 10.1186/s13578-025-01494-8, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Zhang Z, Kong APS, Wong VWS, Hui HX. Intermittent fasting and metabolic dysfunction-associated steatotic liver disease: the potential role of the gut-liver axis. Cell Biosci. (2025) 15:64. doi: 10.1186/s13578-025-01406-w, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Guo Y, Luo S, Ye Y, Yin S, Fan J, Xia M. Intermittent fasting improves Cardiometabolic risk factors and alters gut microbiota in metabolic syndrome patients. J Clin Endocrinol Metab. (2021) 106:64–79. doi: 10.1210/clinem/dgaa644, [DOI] [PubMed] [Google Scholar]
  • 48.Angoorani P, Ejtahed HS, Hasani-Ranjbar S, Siadat SD, Soroush AR, Larijani B. Gut microbiota modulation as a possible mediating mechanism for fasting-induced alleviation of metabolic complications: a systematic review. Nutr Metab. (2021) 18:105. doi: 10.1186/s12986-021-00635-3, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Paoli A. The influence of physical exercise, ketogenic diet, and time-restricted eating on De novo lipogenesis: a narrative review. Nutrients. (2025) 17:663. doi: 10.3390/nu17040663, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Lavallee CM, Bruno A, Ma C, Raman M. The role of intermittent fasting in the Management of Nonalcoholic Fatty Liver Disease: a narrative review. Nutrients. (2022) 14:4655. doi: 10.3390/nu14214655, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Shabkhizan R, Haiaty S, Moslehian MS, Bazmani A, Sadeghsoltani F, Saghaei Bagheri H, et al. The beneficial and adverse effects of Autophagic response to caloric restriction and fasting. Adv Nutr. (2023) 14:1211–25. doi: 10.1016/j.advnut.2023.07.006, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Holmer M, Lindqvist C, Petersson S, Moshtaghi-Svensson J, Tillander V, Brismar TB, et al. Treatment of NAFLD with intermittent calorie restriction or low-carb high-fat diet - a randomised controlled trial. JHEP Rep Innov Hepatol. (2021) 3:100256. doi: 10.1016/j.jhepr.2021.100256, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Waheed A, Gul MH, Shabbir MUB, Raja HAA, Wardak AB, Hussaini H, et al. FDA approves Resmetirom: groundbreaking treatment for NASH liver scarring in moderate to advanced fibrosis. Ann Med Surg. (2024) 87:1088–91. doi: 10.1097/MS9.0000000000002770, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Harrison SA, Bedossa P, Guy CD, Schattenberg JM, Loomba R, Taub R, et al. A phase 3, randomized, controlled trial of resmetirom in NASH with liver fibrosis. N Engl J Med. (2024) 390:497–509. doi: 10.1056/NEJMoa2309000, [DOI] [PubMed] [Google Scholar]
  • 55.Sanyal AJ, Newsome PN, Kliers I, Østergaard LH, Long MT, Kjær MS, et al. Phase 3 trial of semaglutide in metabolic dysfunction-associated steatohepatitis. N Engl J Med. (2025) 392:2089–99. doi: 10.1056/NEJMoa2413258, [DOI] [PubMed] [Google Scholar]
  • 56.Schneider L. Wegovy now approved for treatment of severe liver disease. JAMA. (2025) 334:1135. doi: 10.1001/jama.2025.13358, [DOI] [PubMed] [Google Scholar]
  • 57.Li L, Li R, Tian Q, Luo Y, Li R, Lin X, et al. Effects of healthy low-carbohydrate diet and time-restricted eating on weight and gut microbiome in adults with overweight or obesity: feeding RCT. Cell Rep Med. (2024) 5:101801. doi: 10.1016/j.xcrm.2024.101801, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Yin C, Li Z, Xiang Y, Peng H, Yang P, Yuan S, et al. Effect of intermittent fasting on non-alcoholic fatty liver disease: systematic review and meta-analysis. Front Nutr. (2021) 8:709683. doi: 10.3389/fnut.2021.709683, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Staverosky T. Ketogenic weight loss: the lowering of insulin levels is the sleeping giant in patient care. J Med Pract Manag. (2016) 32:63–6. [PubMed] [Google Scholar]
  • 60.Asghari S, Rezaei M, Rafraf M, Taghizadeh M, Asghari-Jafarabadi M, Ebadi M. Effects of calorie restricted diet on oxidative/antioxidative status biomarkers and serum fibroblast growth factor 21 levels in nonalcoholic fatty liver disease patients: a randomized, controlled clinical trial. Nutrients. (2022) 14:2509. doi: 10.3390/nu14122509, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Deng Y, Liu X, Sun Y, Zhou L, Li Q, Lei Z, et al. Effects of time-restricted eating on intrahepatic fat and metabolic health among patients with nonalcoholic fatty liver disease. Obes Silver Spring Md. (2024) 32:494–505. doi: 10.1002/oby.23965, [DOI] [PubMed] [Google Scholar]
  • 62.Bozzetto L, Annuzzi G, Ragucci M, Di Donato O, Della Pepa G, Della Corte G, et al. Insulin resistance, postprandial GLP-1 and adaptive immunity are the main predictors of NAFLD in a homogeneous population at high cardiovascular risk. Nutr Metab Cardiovasc Dis. (2016) 26:623–9. doi: 10.1016/j.numecd.2016.01.011, [DOI] [PubMed] [Google Scholar]
  • 63.Kaliora AC, Kokkinos A, Diolintzi A, Stoupaki M, Gioxari A, Kanellos PT, et al. The effect of minimal dietary changes with raisins in NAFLD patients with non-significant fibrosis: a randomized controlled intervention. Food Funct. (2016) 7:4533–44. doi: 10.1039/c6fo01040g, [DOI] [PubMed] [Google Scholar]
  • 64.Karjoo S, Braglia-Tarpey A, Chan AP, Ayala Germán AG, Herdes RE, Pai N, et al. Evidence-based review of the nutritional treatment of obesity and metabolic dysfunction-associated steatotic liver disease in children and adolescents. J Pediatr Gastroenterol Nutr. (2025) 81:485–96. doi: 10.1002/jpn3.70099, [DOI] [PubMed] [Google Scholar]
  • 65.Chai XN, Zhou BQ, Ning N, Pan T, Xu F, He SH, et al. Effects of lifestyle intervention on adults with metabolic associated fatty liver disease: a systematic review and meta-analysis. Front Endocrinol. (2023) 14:1081096. doi: 10.3389/fendo.2023.1081096, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Shi Y, Wang Q, Sun Y, Zhao X, Kong Y, Ou X, et al. The prevalence of lean/nonobese nonalcoholic fatty liver disease: a systematic review and meta-analysis. J Clin Gastroenterol. (2020) 54:378–87. doi: 10.1097/MCG.0000000000001270, [DOI] [PubMed] [Google Scholar]
  • 67.Nida S, Khan DA, Khan MQA, Pervez MA, Saleem S, Chaudhry N. Comparative analysis of metabolic and inflammatory biomarker profiles in phenotypes of metabolic dysfunction-associated fatty liver disease. J Coll Physicians Surg Pak. (2025) 35:1106–14. doi: 10.29271/jcpsp.2025.09.1106, [DOI] [PubMed] [Google Scholar]
  • 68.Duarte L, Magne F, Gotteland M. Gut microbiota in patients with metabolic, dysfunction-associated steatotic liver disease. Curr Opin Clin Nutr Metab Care. (2025) 28:307–15. doi: 10.1097/MCO.0000000000001128, [DOI] [PubMed] [Google Scholar]
  • 69.Plaisance EP. Hepatic metabolism and ketone production in metabolic dysfunction-associated steatotic liver disease. Curr Opin Gastroenterol. (2025) 41:81–6. doi: 10.1097/MOG.0000000000001079, [DOI] [PubMed] [Google Scholar]
  • 70.Loomba R, Seguritan V, Li W, Long T, Klitgord N, Bhatt A, et al. Gut microbiome-based metagenomic signature for non-invasive detection of advanced fibrosis in human nonalcoholic fatty liver disease. Cell Metab. (2017) 25:1054–1062.e5. doi: 10.1016/j.cmet.2017.04.001, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Tilg H, Adolph TE, Dudek M, Knolle P. Non-alcoholic fatty liver disease: the interplay between metabolism, microbes and immunity. Nat Metab. (2021) 3:1596–607. doi: 10.1038/s42255-021-00501-9, [DOI] [PubMed] [Google Scholar]
  • 72.Newsome PN, Buchholtz K, Cusi K, Linder M, Okanoue T, Ratziu V, et al. A placebo-controlled trial of subcutaneous semaglutide in nonalcoholic steatohepatitis. N Engl J Med. (2021) 384:1113–24. doi: 10.1056/NEJMoa2028395, [DOI] [PubMed] [Google Scholar]
  • 73.Armstrong MJ, Gaunt P, Aithal GP, Barton D, Hull D, Parker R, et al. Liraglutide safety and efficacy in patients with non-alcoholic steatohepatitis (LEAN): a multicentre, double-blind, randomised, placebo-controlled phase 2 study. Lancet. (2016) 387:679–90. doi: 10.1016/S0140-6736(15)00803-X, [DOI] [PubMed] [Google Scholar]
  • 74.Integrative HMP (iHMP) Research Network Consortium. The integrative human microbiome project. Nature. (2019) 569:641–8. doi: 10.1038/s41586-019-1238-8, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. (2017) 18:83. doi: 10.1186/s13059-017-1215-1, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Hao X, Song H, Su X, Li J, Ye Y, Wang C, et al. Prophylactic effects of nutrition, dietary strategies, exercise, lifestyle and environment on nonalcoholic fatty liver disease. Ann Med. (2025) 57:2464223. doi: 10.1080/07853890.2025.2464223, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Kamrul-Hasan ABM, Ashraf H, Nagendra L, Dutta D, Shahriar MN, Islam MS, et al. Impacts of Ramadan fasting on metabolic and hepatic endpoints in individuals with metabolic dysfunction-associated fatty liver disease: a systematic review and meta-analysis. JGH Open. (2025) 9:e70264. doi: 10.1002/jgh3.70264, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Johari MI, Yusoff K, Haron J, Nadarajan C, Ibrahim KN, Wong MS, et al. A randomised controlled trial on the effectiveness and adherence of modified alternate-day calorie restriction in improving activity of non-alcoholic fatty liver disease. Sci Rep. (2019) 9:11232. doi: 10.1038/s41598-019-47763-8, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Cai H, Qin YL, Shi ZY, Chen JH, Zeng MJ, Zhou W, et al. Effects of alternate-day fasting on body weight and dyslipidaemia in patients with non-alcoholic fatty liver disease: a randomised controlled trial. BMC Gastroenterol. (2019) 19:219. doi: 10.1186/s12876-019-1132-8, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Jamshed H, Beyl RA, Della Manna DL, Yang ES, Ravussin E, Peterson CM. Early time-restricted feeding improves 24-hour glucose levels and affects markers of the circadian clock, aging, and autophagy in humans. Nutrients. (2019) 11:1234. doi: 10.3390/nu11061234, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.de Cabo R, Mattson MP. Effects of intermittent fasting on health, aging, and disease. N Engl J Med. (2019) 381:2541–51. doi: 10.1056/NEJMra1905136, [DOI] [PubMed] [Google Scholar]
  • 82.Watanabe M, Tuccinardi D, Ernesti I, Basciani S, Mariani S, Genco A, et al. Scientific evidence underlying contraindications to the ketogenic diet: an update. Obes Rev. (2020) 21:e13053. doi: 10.1111/obr.13053, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Sheikh MY, Younus MF, Shergill A, Hasan MN. Diet and lifestyle interventions in metabolic dysfunction-associated fatty liver disease: a comprehensive review. Int J Mol Sci. (2025) 26:9625. doi: 10.3390/ijms26199625 41096891, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Harvie MN, Pegington M, Mattson MP, Frystyk J, Dillon B, Evans G, et al. The effects of intermittent or continuous energy restriction on weight loss and metabolic disease risk markers: a randomized trial in young overweight women. Int J Obes. (2011) 35:714–27. doi: 10.1038/ijo.2010.171 20921964, [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Bueno NB, De Melo ISV, De Oliveira SL, Da Rocha Ataide T. Very-low-carbohydrate ketogenic diet v. low-fat diet for long-term weight loss: a meta-analysis of randomised controlled trials. Br J Nutr. (2013) 110:1178–87. doi: 10.1017/S0007114513000548, [DOI] [PubMed] [Google Scholar]
  • 86.Antoni R, Johnston KL, Collins AL, Robertson MD. Effects of intermittent fasting on glucose and lipid metabolism. Proc Nutr Soc. (2017) 76:361–8. doi: 10.1017/S0029665116002986, [DOI] [PubMed] [Google Scholar]
  • 87.Mansoor N, Vinknes KJ, Veierød MB, Retterstøl K. Effects of low-carbohydrate diets v. low-fat diets on body weight and cardiovascular risk factors: a meta-analysis of randomised controlled trials. Br J Nutr. (2016) 115:466–79. doi: 10.1017/S0007114515004699, [DOI] [PubMed] [Google Scholar]
  • 88.Forsythe CE, Phinney SD, Fernandez ML, Quann EE, Wood RJ, Bibus DM, et al. Comparison of low fat and low carbohydrate diets on circulating fatty acid composition and markers of inflammation. Lipids. (2008) 43:65–77. doi: 10.1007/s11745-007-3132-7, [DOI] [PubMed] [Google Scholar]
  • 89.Fasano A. Zonulin, regulation of tight junctions, and autoimmune diseases. Ann N Y Acad Sci. (2012) 1258:25–33. doi: 10.1111/j.1749-6632.2012.06538.x, [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Frontiers in Nutrition are provided here courtesy of Frontiers Media SA

RESOURCES