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Methionine restriction provides sex-specific protection against high-fat diet-induced adiposity, peripheral insulin resistance, and neuroinflammation in FGF21-dependent and independent manners in mice

  • Hannah Lail,

    Roles Data curation, Investigation, Methodology, Writing – original draft, Writing – review & editing

    Affiliations Department of Nutrition, Georgia State University, Atlanta, Georgia, United States of America, Department of Chemistry, Georgia State University, Atlanta, Georgia, United States of America

  • Rowan Lawrence,

    Roles Investigation, Writing – review & editing

    Affiliation Department of Neuroscience, Georgia State University, Atlanta, Georgia, United States of America

  • Filipe Pinheiro,

    Roles Investigation, Writing – review & editing

    Affiliations Department of Biomedicine, University of Porto Faculty of Medicine, Alameda Prof. Hernâni Monteiro, Porto, Portugal, Center for Health Technology and Services Research, University of Porto Faculty of Medicine, Alameda Prof. Hernâni Monteiro, Porto, Portugal

  • Emily Price,

    Roles Investigation, Writing – review & editing

    Affiliations Department of Nutrition, Georgia State University, Atlanta, Georgia, United States of America, Clinical Psychology, Immaculata University, Immaculata, United States of America

  • Desiree Wanders

    Roles Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – review & editing

    dwanders@gsu.edu

    Affiliations Department of Nutrition, Georgia State University, Atlanta, Georgia, United States of America, Department of Chemistry, Georgia State University, Atlanta, Georgia, United States of America

Abstract

Excessive consumption of high-fat diets is linked to peripheral insulin resistance, neuroinflammation, and obesity. While dietary methionine restriction improves peripheral metabolic health, its effectiveness in attenuating central insulin resistance and neuroinflammation, especially in a sex-dependent manner, remains unclear. This study investigates whether methionine restriction can mitigate high-fat diet-induced alterations in insulin resistance and neuroinflammation in male and female mice and explores the role of endogenous fibroblast growth factor 21 (FGF21) in mediating these effects. We utilized wild-type and Fgf21 knockout (Fgf21-/-) mice to assess the impact of methionine restriction on body composition, insulin sensitivity, central insulin signaling, and neuroinflammation. methionine restriction reduced body weight and adiposity in males, regardless of diet or genotype. In females, methionine restriction reduced weight gain under high-fat diet conditions in both genotypes but had limited effects on female adiposity. Methionine restriction improved insulin sensitivity in WT mice, but this effect was absent in Fgf21-/- mice, highlighting the importance of FGF21. Likewise, methionine restriction enhanced hepatic insulin signaling in WT males, but not Fgf21-/- males. In contrast, methionine restriction had minimal impact on insulin signaling in the liver or brain of female mice. Methionine restriction decreased neuroinflammatory gene expression in the hippocampus of males following the high-fat diet, a process dependent on FGF21. These findings demonstrate that methionine restriction confers sex-specific protection against high-fat diet-induced metabolic disturbances, with FGF21 playing a critical role in both peripheral and central insulin sensitivity, particularly in males. Future studies should further elucidate the molecular mechanisms underlying the sex-specific effects of methionine restriction and the role of FGF21 in mediating these responses.

Introduction

Excessive dietary fat intake is strongly linked to the development of chronic diseases including obesity [1] and type 2 diabetes [2]. Consumption of a high-fat diet (HFD) induces widespread alterations in both peripheral and central systems [36], notably impairing insulin sensitivity [713]. In peripheral tissues, HFDs disrupt insulin signaling pathways, leading to reduced glucose uptake, dysregulated glucose metabolism, and elevated circulating glucose concentrations [14]. These systemic effects are closely linked to the development of low-grade chronic inflammation, which is characterized by elevated pro-inflammatory cytokines and immune cell activation [15]. Importantly, this inflammatory state is not confined to peripheral tissues; it extends to the central nervous system, where HFDs contribute to neuroinflammation and impair neuronal insulin signaling [16,17]. However, the metabolic and central consequences of high dietary fat intake reported in the literature vary considerably, depending on multiple factors including the duration of HFD exposure [18], the animal model used [19], and the age [20,21], and sex [22,23] of the animals. These variables can significantly influence the magnitude and nature of peripheral and central insulin resistance, as well as inflammatory responses. Therefore, research examining the effects of HFDs and potential dietary interventions must consider these factors, with attention to sex as a biological variable, to capture the full spectrum of metabolic and neurobiological outcomes.

Dietary methionine restriction (MR) confers numerous metabolic benefits, including reduced adiposity, enhanced lipid and glucose metabolism, reduced inflammation, increased energy expenditure, and extended lifespan [2429]. These effects occur despite hyperphagia and increased energy intake [30]. In experimental animal models, MR reduces dietary methionine content by 80% and eliminates the nonessential amino acid cysteine [30]. MR increases peripheral insulin sensitivity in several mouse models of obesity by enhancing protein kinase B (Akt) phosphorylation [27,3134]. Centrally, MR increases the expression of insulin signaling genes and reduces neuroinflammation and oxidative stress in the hippocampus of male mice [35]. This evidence, at least indirectly, suggests that MR may be used as a strategy to improve insulin sensitivity in the brain; however to date, this has not been directly tested.

Fibroblast growth factor 21 (FGF21) is an endogenous stress-response hormone produced primarily by the liver, and it plays a central role in mediating many of the beneficial effects of dietary MR, including in insulin sensitivity [28] and those related to the brain and cognition [36]. FGF21 exerts pleiotropic effects on metabolism by enhancing glucose uptake, promoting lipid oxidation, and modulating energy expenditure [37,38]. Exogenous FGF21 administration protects against HFD-induced body weight gain [39], adiposity [40], insulin resistance [41], and systemic inflammation [42]. Beyond its peripheral actions, FGF21 has been shown to influence the brain directly, supporting neuronal function, synaptic plasticity, and protection against neuroinflammation [43,44].

Despite this evidence, significant gaps remain in our understanding of how MR and FGF21 affect the brain under conditions of HFD, particularly in females. While MR has been shown to improve peripheral and central metabolic outcomes in male mice, the efficacy of MR in mitigating HFD-induced neuroinflammation and central insulin resistance in females remains unclear. Similarly, the role of FGF21 in regulating central insulin signaling and neuroprotection in females has not been fully elucidated. To address these gaps, this study investigates whether MR can attenuate HFD-induced peripheral and central insulin resistance and neuroinflammation in both male and female mice. Furthermore, it examines the contribution of endogenous FGF21 in mediating these protective effects, with the goal of clarifying sex-specific differences in the metabolic and neuroprotective responses to dietary methionine restriction.

Methods

Animals and diets

All animal experiments were reviewed and approved by the Institutional Animal Care and Use Committee (IACUC) (Approval Code: A21030, Approval Date: 22 January 2021) at Georgia State University, ensuring compliance with the National Research Council guidelines, Animal Welfare Act, and Public Health Service Policy on the humane care and use of laboratory animals. Breeding pairs of male and female wild-type (WT, Jax#000664) and Fgf21 knockout (Fgf21-/-, Jax#033846) mice purchased from the Jackson Laboratory (Bar Harbor, ME). Experimental groups were researcher-generated using genotype-specific littermates until the specified group sizes were attained. At five to six weeks of age, mice were randomly assigned to either normal-fat (NFD, 3.815 kcal/g; 14.5% energy from protein, 67% energy from carbohydrate, 18.5% energy from fat) or high-fat (HFD, 5.45 kcal/g; 14.7% energy from protein, 25.7% energy from carbohydrate, 59.6% energy from fat) versions of control (0.86%) or methionine restriction (MR, 0.172%) diets for five weeks (n = 3–11, diet x sex x genotype). Due to the large number of experimental groups, a cohort-based approach was implemented to ensure feasibility and manageability. Each mouse participated in all aspects of the study, and the average cohort size was 16 mice. Diets were purchased from Dyets Inc. (Bethlehem, PA) as extruded pellets. Diet information is found in Table 1. All animals were group-housed under standard temperature conditions and humidity, followed a 12-hour light/dark schedule, and were provided food and water ad libitum. Body weights were recorded weekly.

Insulin tolerance test

After four weeks on diets, mice underwent an insulin tolerance test (ITT). Mice were fasted in new cages for four hours prior to ITTs. Fasting blood glucose was measured via tail nick using a glucometer (OneTouch Ultra2) followed by administration of insulin (0.6 U/kg body weight) via intraperitoneal (I.P.) injection. Human insulin was purchased from Sigma; catalog # I2643. Blood glucose concentrations were measured every 15 minutes for 1 hour following insulin administration.

Sacrifice.

After five weeks on diets, mice were sacrificed by decapitation following carbon dioxide-induced overdose. Fifteen minutes before sacrifice mice were administered insulin (0.6 U/kg body weight; Sigma catalog # I2643) or vehicle (saline) via I.P. injection. Trunk blood was collected and clotted for 30 minutes at room temperature, and serum was isolated after centrifugation at 5,000 RPM for 15 minutes at 4°C (accuSpin Micro 17R, Fisher Scientific). Brains were carefully removed and dissected in ice-cold phosphate-buffered saline. The hypothalamus and hippocampus were snap-frozen in liquid nitrogen and stored at −80°C. Additional tissues, including the liver, gonadal white adipose tissue (gWAT), and retroperitoneal white adipose tissue (rpWAT) were collected and stored at −80°C.

Enzyme-linked immunosorbent assay.

Serum FGF21 concentrations were measured using an enzyme-linked immunosorbent assay (ELISA), according to the solid phase sandwich method (Cat# MF2100; R&D Systems, Minneapolis, MN) following the manufacturer’s protocol. The plate was read at 450 nm using a spectrophotometer (Synergy HT, BioTek).

RNA isolation, reverse transcription, and quantitative real-time PCR.

Quantitative polymerase chain reaction (qPCR, LightCycler 96) was used to evaluate gene expression. Briefly, total RNA was extracted from the liver and hippocampus tissue using the QIAzol reagent method (Cat#79306) following the manufacturer’s protocol, reverse transcribed (Promega RT-System, C-1000 Touch Thermal cycler), and diluted to 3.33 ng/L. qPCR was used to measure gene expression of Fgf21 in the liver and (Tnfa, Il6, Il1b, Il23, Sirt1) and other genes (Nfkb, Il10, Cat, Nox2, Bdnf, Trkb, Synpo, Psd95, Nrgn, Reln, Creb, Irs1) related to health status in the hippocampus. The housekeeping gene cyclophilin (Ppia) was used to normalize target gene expression (S1 Table).

Protein isolation and immunoblot analysis

Western blot was used for quantifying changes in protein expression. Western blots followed standard protocols as previously described [45]. In short, protein was extracted from the liver and brain tissues via incubation and homogenization in radioimmunoprecipitation assay lysis buffer containing a protease inhibitor cocktail (Halt P&P cocktail, Thermo Scientific) and phosphatase inhibitors (50 mM sodium fluoride, 1 mM sodium orthovanadate, 2.5 mM sodium pyrophosphate decahydrate, 10 mM 2,3-bisphosphoglyceric acid). Total protein concentration was determined using a detergent-compatible protein assay and a microplate reader (Synergy HT, BioTek). Proteins were then separated by 10% SDS-PAGE electrophoresis and transferred to a polyvinylidene difluoride membrane. Membranes were blocked in 5% non-fat dry milk for 1 hour followed by incubation with the primary antibody at 4°C overnight. Membranes were washed and incubated with secondary antibodies at room temperature for 1 hour before imaging. β-actin or total lane protein (Sigma-Aldrich Cat#T54801) was used to normalize all results for statistical analyses. Protein expression was visualized using the Bio-Rad ChemiDoc Imaging System, and band densities were quantified using Image Lab (Bio-Rad Inc) (S2 Table).

Statistical analysis

Statistical analyses were conducted using Excel (Version 16.95.1 2025) and GraphPad Prism 10.0 (GraphPad Software, San Diego, CA). One-way ANOVA with Tukey’s or Sidak’s multiple comparisons tests were used for statistical analysis of within genotype and within sex comparisons. Two-way ANOVA with Tukey’s multiple comparisons test were used for statistical analysis of between genotype but within sex comparisons. Two-way ANOVA with mixed effects analysis were used for ITTs. All data are expressed as the standard error of the mean (SEM). Shapiro-Wilks test was used for normality detection. The ROUT 1% test was used to identify statistical outliers which were excluded from analyses. A value of (p < 0.05) was considered statistically significant and results approaching significance were reported as relevant scientific trends.

Results

Body weight and composition

Initial body weights were different between diets in males and genotypes in females due to slight differences in age at the beginning of the study (Fig 1). Therefore, the percent change in body weight was reported. Given their young age at the start of the study, all groups gained weight during the five-week feeding regimen, with mice fed MR versions of their diets gaining significantly less weight (Fig 1). MR decreased the percent increase in body weight and reduced the final body weight of males regardless of diet or genotype (Fig 1B, 1C). MR reduced percent body weight gain in HFD female mice of both genotypes (Fig 1E) and reduced the final body weight of HFD WT females, while final body weight in HFD Fgf21-/- females showed a near significant reduction (p = 0.07) (Fig 1F).

Male (A-C), Female (D-F). Wild-type (WT), FGF21 knockout (Fgf21-/-), normal-fat diet (NFD), high-fat diet (HFD), or methionine restriction diet (MR). n = 3–11. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.05 (*), p < 0.01 (**), p < 0.0001 (****). Bar indicates significance between genotypes.

HFD feeding increased the gWAT and rpWAT of males in both genotypes compared to NFD. MR reduced the adiposity of males in both genotypes independent of the diet (Fig 2A, 2B). Neither HFD feeding nor MR altered female gWAT weight (Fig 2D). However, the HFD increased WT female rpWAT weight compared to NFD, and MR did not attenuate HFD-induced increases in rpWAT weight in this group (Fig 2E). Overall, Fgf21-/- females had lower adiposity compared to WT females independent of the diet (Fig 2D, 2E). In males, the HFD did not affect liver weight; however, MR reduced liver weight in both genotypes (Fig 2C). Overall, Fgf21-/- males had larger livers compared to WT males regardless of the diet. In females, neither diet nor genotype altered liver weight (Fig 2F).

Gonadal white adipose tissue (gWAT; A&D), retroperitoneal white adipose tissue (rpWAT; B&E) and liver (C&F) weights of male (A-C) and female (D-F) wild-type (WT) and FGF21 knockout (Fgf21-/-) mice fed a normal-fat diet (NFD), high-fat diet (HFD), or methionine restriction diet (MR) for 5 weeks. n = 3–11. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.05 (*), p < 0.01 (**), p < 0.001 (***), p < 0.0001 (****). Bar indicates significance between genotypes.

Hepatic FGF21

HFD feeding did not affect hepatic Fgf21 gene expression or circulating FGF21 concentrations in either sex (Fig 3). MR increased hepatic Fgf21 gene expression in both NFD and HFD WT males (Fig 3A). Although not statistically significant, MR approximately doubled the serum concentrations of FGF21 in WT males on the NFD by 2.4-fold and led to a significant 5.3-fold increase in FGF21 in HFD males (Fig 3B). Similarly, Fgf21 gene expression was increased by MR in NFD (5.8-fold) WT females, but only the HFD reached statistical significance (Fig 3C). Serum FGF21, on the other hand, was increased by MR feeding in both NFD and HFD WT females by 3.5-fold and 6.8-fold, respectively (Fig 3D). Serum FGF21 was undetectable in Fgf21-/- mice.

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Fig 3. Hepatic and circulating fibroblast growth factor 21 (FGF21).

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Hepatic Fgf21 gene expression (n = 8–10; A&C) and FGF21 serum concentrations (n = 4–6; B&D) in male (A&B) and female (C&D) wild-type (WT) and FGF21 knockout (Fgf21-/-) mice fed a normal-fat diet (NFD), high-fat diet (HFD), or methionine restriction diet (MR), Not detected (ND). One-way ANOVA for statistical significance with Tukey’s multiple comparisons test. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.05 (*), p < 0.01 (**), p < 0.001 (***), p < 0.0001 (****).

Insulin tolerance

We aimed to examine whether FGF21 was essential for any MR-related improvements in both sexes. Due to small sample sizes for females during the ITT, male and female ITT data were combined to determine the effect of MR on peripheral insulin sensitivity. Consumption of an HFD was sufficient to increase fasting blood glucose concentrations and to impair insulin response during ITT of WT mice. Methionine restriction normalized fasting blood glucose concentrations and restored insulin sensitivity in HFD-fed WT mice (Fig 4A-4C). Meanwhile, Fgf21-/- mice displayed elevated fasting blood glucose concentrations and failed to respond to insulin administration, indicative of insulin resistance in this group (Fig 4D-4F). While MR completely normalized the blood glucose concentrations of HFD WT mice, MR did not affect the blood glucose concentrations or insulin response of Fgf21-/- mice.

Fasting blood glucose (A&D), ITT (B&E), and area under the curve (AUC; C&F) of wild-type (WT) and FGF21 knockout (Fgf21-/-) mice fed a normal-fat diet (NFD), high-fat diet (HFD), or methionine restriction diet (MR). Sexes are combined. n = 2–13 (WT = NFD 8M:0F, NFD-MR 8M:0F, HFD 7M:1F, HFD-MR 6M:2F, Fgf21-/- = NFD 3M:0F, NFD-MR 2M:0F, HFD 4M:9F, HFD-MR 4M:7F. One-way ANOVA with Tukey’s multiple comparisons or two-way ANOVA with mixed effects analysis. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.05 (*), p < 0.0001 (****).

Hepatic insulin signaling

To assess the short-term effects of HFD and MR feeding on insulin sensitivity in specific tissues, insulin or vehicle was administered via I.P. injection 15 minutes before sacrifice. Phosphorylation of protein kinase B (Akt) was measured as a marker of insulin signaling using western blot analysis. Insulin increased Akt phosphorylation by 3.4-fold in NFD WT males and by 2.5-fold in NFD MR males, but neither reached statistical significance (Fig 5A). WT males on the HFD failed to respond to the insulin treatment, and MR ameliorated this effect (Fig 5B). In comparison, insulin failed to increase Akt phosphorylation in Fgf21-/- males and MR was unable to restore insulin signaling in these mice regardless of the diet (Fig 6). Together, these data suggest that mice lacking FGF21 have impaired hepatic insulin signaling and that the ability of MR to increase insulin signaling in males is dependent upon FGF21.

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Fig 5. Hepatic insulin signaling in wild-type (WT) males.

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Fig 6. Hepatic insulin signaling in fibroblast growth factor 21 knockout (Fgf21-/-) males.

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Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Total lane protein for NFD and HFD (C&D). Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 4–5. Fold change from control. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. Data are presented as mean ± SEM. p < 0.001 (***). Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to total lane protein for loading control.

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Total lane protein for NFD and HFD (C&D). Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 3–4. Fold change from control. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. Data are presented as mean ± SEM. Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to total lane protein for loading control.

In NFD WT females, insulin increased Akt phosphorylation 9.4-fold (Fig 7A). Interestingly, MR significantly increased basal Akt phosphorylation (Fig 7A). The HFD impaired insulin response in WT females, and MR did not improve this response but again appeared to elevate basal Akt phosphorylation, though this did not reach statistical significance (Fig 7B). There was no significant effect of insulin, HFD feeding, or MR on hepatic Akt phosphorylation, in Fgf21-/- females suggesting that FGF21 is also important for hepatic insulin action in females (Fig 8).

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Fig 7. Hepatic insulin signaling in wild-type (WT) females.

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Fig 8. Hepatic insulin signaling in fibroblast growth factor 21 knockout (Fgf21-/-) females.

https://doi.org/10.1371/journal.pone.0343503.g008

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Total lane protein for NFD and HFD (C&D). Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 3–5. Fold change from control. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. Data are presented as mean ± SEM. p < 0.05 (*), p < 0.0001 (****). Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to total lane protein for loading control.

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups and total lane protein (C). Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 1–5. Fold change from control. Two-way ANOVA for statistical significance with Sidak’s multiple comparisons test. Shapiro-Wilks for normality detection. Data are presented as mean ± SEM. Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to total lane protein for loading control.

Hypothalamic insulin signaling

Contrary to our expectations, insulin decreased Akt phosphorylation in the hypothalamus of WT NFD and Fgf21-/- NFD males. This effect was lost in male mice fed the MR diet in both genotypes (Fig 9A, 10A). In male mice fed the HFD, neither insulin nor MR affected Akt phosphorylation independent of genotype (Fig 9B, 10B). Insulin did not alter Akt phosphorylation in the hypothalamus of females regardless of diet or genotype (Figs 11, 12).

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Fig 9. Hypothalamic insulin signaling in wild-type (WT) males.

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Fig 10. Hypothalamic insulin signaling in fibroblast growth factor 21 knockout (Fgf21-/-) males.

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Fig 11. Hypothalamic insulin signaling in wild-type (WT) females.

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Fig 12. Hypothalamic insulin signaling in fibroblast growth factor 21 knockout (Fgf21-/-) females.

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Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 4–5. Fold change from control. Two-way ANOVA for statistical significance. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.001 (***). Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to beta-actin for loading control.

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 3–5. Fold change from control. Two-way ANOVA for statistical significance. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. p < 0.05 (*). Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to beta-actin for loading control.

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 3–5. Fold change from control. Two-way ANOVA for statistical significance. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to beta-actin for loading control.

Quantified band densities for normal-fat diet (NFD; A) and high-fat diet (HFD; B) groups. Protein kinase B (Akt), methionine restriction diet (MR), saline (s), insulin (i). n = 1–5. Fold change from control. Two-way ANOVA for statistical significance. Shapiro-Wilks for normality detection. ROUT 1% for statistical outliers. Data are presented as mean ± SEM. Vertical bands in western blot images denote grouping, not blot splicing. Bands were normalized to beta-actin for loading control.

Hippocampal insulin signaling

Insulin did not affect Akt or glycogen synthase-3 kinase (GSK-3) phosphorylation in the hippocampus of male and female mice regardless of diet or genotype (S3-S6 Fig).

Hippocampal neuroinflammation

HFD feeding increased inflammatory gene expression in the hippocampus of HFD WT males. Although these effects are somewhat inconsistent, there are clear upward trends in the gene expression of cytokines Tnfa, Il1b, and Il23. MR trended to reduce Tnfa and Il23 inflammatory gene expression in the hippocampus of WT HFD males (p = 0.06, p = 0.09), respectively. There were no changes in neuroinflammatory gene expression in the hippocampus of females. There were no changes in Sirt1 gene expression in either sex (S7 Fig).

Additional genes related to neuroinflammation, oxidative stress, neurogenesis, and neuroplasticity that could have been altered by either the HFD and/or MR were examined. Neither the HFD nor MR had any effect on inflammation or oxidative stress (Nfkb, Il10, Cat, Nox2) in the hippocampus in either sex or genotype. There were also no differences in the expression of genes related to neurogenesis or neuroplasticity (Bdnf, Trkb, Synpo, Psd95, Nrgn, Reln, Creb, Irs1) regardless of diet, sex, or genotype (S3 Table).

Antioxidant activity

To determine how MR may be attenuating HFD-induced neuroinflammation in WT males, protein expression of the antioxidant transcription factor nuclear factor erythroid 2-related factor 2 (NRF2) and one of its downstream antioxidant products, heme oxygenase 1 (HO-1) were measured in the hippocampus. Despite MR reducing neuroinflammatory gene expression in the hippocampus of WT males on the HFD, MR did not alter the protein expression of NRF2 or HO-1 in the hippocampus of males or females (S8 Fig).

Discussion

This study investigated whether MR could mitigate HFD-induced insulin resistance and neuroinflammation in male and female mice and explored the role of endogenous FGF21 in mediating these effects. Methionine restriction significantly reduced gWAT and rpWAT weights in HFD-fed male WT and Fgf21-/- mice (Fig 2A, 2B), consistent with previous findings from our lab showing that FGF21 is not essential for MR’s ability to reduce body weight or adiposity in males under normal-fat diet conditions [28]. In contrast, MR had no significant effect on gWAT or RPWAT weight in either genotype among females (Fig 2E). Factors such as the timing of MR initiation may influence these outcomes. MR reduces adiposity only in male mice when the diet is introduced in young animals (aged eight weeks) [46]. However, when the diet is introduced in adulthood (four months), MR produces comparable reductions in adiposity in both sexes [46].

Methionine restriction also reduced liver weights in both WT and Fgf21-/- male mice. Interestingly, Fgf21-/- males exhibited consistently larger livers across all diet conditions (Fig 2C), aligning with previous reports showing that global FGF21 deficiency leads to hepatic enlargement due to suppressed expression of lipolytic genes and increased expression of genes promoting fatty acid synthesis [4749]. In contrast, liver weights in female mice remained consistent regardless of genotype or diet (Fig 2F). Thus, while MR effectively prevented HFD-induced liver enlargement in males, it had no significant effect in females.

We found that short-term HFD consumption impairs peripheral insulin sensitivity in young mice, an effect counteracted by MR in an FGF21-dependent manner. These findings are consistent with earlier work demonstrating that FGF21 is essential for MR’s insulin-sensitizing effects [28]. To further investigate the mechanism behind MR’s benefits, hepatic insulin signaling was assessed. Although previous studies examined MR’s effects on hepatic insulin signaling, this is the first to do so under HFD conditions in both sexes while evaluating FGF21 dependence [33]. MR increases hepatic insulin sensitivity in WT males, restoring HFD-induced reductions in liver Akt phosphorylation (Figs 5, 7). However, MR did not restore Akt phosphorylation in females. Previous studies have similarly reported MR-induced increases in hepatic Akt phosphorylation in male mice [33,50]. Notably, MR failed to increase hepatic insulin signaling in both male and female Fgf21 ⁻ / ⁻ mice (Figs 6, 8), indicating that MR’s protective effects are both FGF21-dependent and sex-specific.

This study also examined sex-dependent effects of HFD on central insulin resistance and whether MR confers protection, with a focus on the role of endogenous FGF21. The hypothalamus, a key regulator of energy balance [51,52], responds to insulin through activation of the insulin receptor and subsequent phosphorylation of Akt [53,54], a pathway disrupted by HFD consumption [9]. Unexpectedly, intraperitoneal insulin administration decreased Akt phosphorylation in the hypothalamus of both WT and Fgf21-/- NFD-fed males (Figs 9, 10). In contrast, neither MR nor insulin administration altered hypothalamic Akt phosphorylation in HFD-fed males or in females fed the NFD or HFD (Figs 11, 12). One possible explanation for the absence of an insulin-induced increase in Akt phosphorylation is that 15 minutes post-injection may have been insufficient for insulin to cross the blood-brain barrier. Intranasal delivery, which reaches the brain in primates in approximately 13 minutes [55] and has been used effectively in mice [56,57], may represent a more suitable approach for future studies on central insulin signaling.

We further investigated whether MR exerts sex-specific effects on neuroinflammation and oxidative stress in the brain and whether these depend on FGF21. Our comprehensive analysis of gene and protein expression related to inflammatory and antioxidant pathways revealed no significant impact of diet or genotype on markers of inflammation or oxidative stress in either the hypothalamus or hippocampus (see supplementary information). These findings contrast with previous studies reporting that dietary MR reduces oxidative stress and inflammation in the hippocampus and cortex of male db/db mice [58]. Notably, when the FGF21 receptor (FGFR1) was selectively knocked down in the brain via intracerebroventricular injection of an adeno-associated virus, the anti-inflammatory benefits of MR were diminished [58]. This suggests a key role for FGF21 in mediating MR’s neuroprotective effects. Another study found that MR actually increased markers of neuroinflammation in the hippocampus of female mice in a tauopathy model, even though cognitive outcomes such as short-term memory, habituation, and motor control improved; notably, males were not assessed in this context [59].

Similarly to MR, protein-restricted diets improve metabolic health by increasing FGF21, which coordinates shifts in macronutrient preference, increases thermogenesis, and promotes insulin sensitivity [6063]. Importantly, these responses are not due to a limitation of a single amino acid but rather reflect a generalized sensing of protein restriction, triggering integrated stress responses in the liver that upregulate FGF21 and modify systemic metabolism [6466]. Moreover, FGF21-dependent responses to dietary protein restriction are sexually dimorphic, as males and females exhibit distinct peripheral metabolic adaptations, with females generally showing reduced sensitivity to the effects of protein restriction [6770].

Our study has several limitations. First, we used a global FGF21 knockout model to assess whether FGF21 mediates the effects of methionine restriction on central insulin sensitivity and neuroinflammation. While this approach provides an important foundation for understanding FGF21’s role, it does not distinguish between the roles of circulating FGF21 (primarily liver-derived) and centrally produced FGF21. Future studies employing tissue specific and inducible FGF21 knockout models will be essential to delineate the relative contributions of peripheral versus central FGF21 and to minimize potential confounding factors of lifelong FGF21 deficiency. A second limitation is the relatively short duration of HFD exposure. Although our goal was to assess the early effects of HFD consumption in juvenile animals, the exposure period may have been too short to induce measurable changes in markers of neuroinflammation or oxidative stress in the brain. Third, we did not perform a glucose tolerance test (GTT), which limits our ability to assess glucose handling in response to a glycemic challenge. While the ITT provides insight into whole-body insulin action by evaluating the glycemic response to a defined insulin dose, GTTs reflect both β-cell function and insulin sensitivity. Therefore, the absence of GTT data limits our ability to fully characterize glucose tolerance and pancreatic β-cell contributions to the observed metabolic phenotype. An additional limitation is the absence of comprehensive morphometric measurements of peripheral organs. This limitation is particularly relevant in the context of a global, non-inducible knockout model, where metabolic phenotypes may reflect developmental adaptations in addition to, or instead of, alterations in metabolic regulation. Finally, the absence of littermate controls is a key limitation, as it introduces potential confounding factors related to genetic background, in utero environment, and early postnatal experiences. Future experiments should prioritize the use of littermate controls to improve the rigor and interpretability of findings.

Conclusion

In conclusion, the present study demonstrated that even short-term HFD feeding can negatively affect body weight, adiposity, and peripheral insulin sensitivity of young mice. MR is more effective at preventing these alterations in males compared to females, and this protection occurs in both FGF21-dependent and independent manners. While MR improved peripheral insulin tolerance and hepatic insulin signaling in male mice, it did not alter hypothalamic or hippocampal insulin signaling in males or females. The sex-specific effects of MR highlight the importance of well-powered preclinical studies that include female subjects.

Supporting information

S1 Fig. Western blot loading controls for hypothalamus of male mice.

https://doi.org/10.1371/journal.pone.0343503.s004

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S2 Fig. Western blot loading controls for hypothalamus of female mice.

https://doi.org/10.1371/journal.pone.0343503.s005

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S3 Fig. Hippocampal insulin signaling in wild-type male mice.

https://doi.org/10.1371/journal.pone.0343503.s006

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S4 Fig. Hippocampal insulin signaling in Fgf21-/- male mice.

https://doi.org/10.1371/journal.pone.0343503.s007

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S5 Fig. Hippocampal insulin signaling in wild-type female mice.

https://doi.org/10.1371/journal.pone.0343503.s008

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S6 Fig. Hippocampal insulin signaling in Fgf21-/- female mice.

https://doi.org/10.1371/journal.pone.0343503.s009

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S7 Fig. Neuro inflammatory gene expression in hippocampus.

https://doi.org/10.1371/journal.pone.0343503.s010

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S8 Fig. Antioxidant protein expression in hippocampus.

https://doi.org/10.1371/journal.pone.0343503.s011

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References

  1. 1. Bray GA, Popkin BM. Dietary fat intake does affect obesity!. Am J Clin Nutr. 1998;68(6):1157–73. pmid:9846842
  2. 2. Riccardi G, Giacco R, Rivellese AA. Dietary fat, insulin sensitivity and the metabolic syndrome. Clin Nutr. 2004;23(4):447–56. pmid:15297079
  3. 3. He M-Q, Wang J-Y, Wang Y, Sui J, Zhang M, Ding X, et al. High-fat diet-induced adipose tissue expansion occurs prior to insulin resistance in C57BL/6J mice. Chronic Dis Transl Med. 2020;6(3):198–207. pmid:32885155
  4. 4. Underwood EL, Thompson LT. A High-Fat Diet Causes Impairment in Hippocampal Memory and Sex-Dependent Alterations in Peripheral Metabolism. Neural Plast. 2016;2016:7385314. pmid:26819773
  5. 5. Evans AK, Saw NL, Woods CE, Vidano LM, Blumenfeld SE, Lam RK, et al. Impact of high-fat diet on cognitive behavior and central and systemic inflammation with aging and sex differences in mice. Brain Behav Immun. 2024;118:334–54. pmid:38408498
  6. 6. Zhang X, Dong F, Ren J, Driscoll MJ, Culver B. High dietary fat induces NADPH oxidase-associated oxidative stress and inflammation in rat cerebral cortex. Exp Neurol. 2005;191(2):318–25. pmid:15649487
  7. 7. Biessels GJ, Reagan LP. Hippocampal insulin resistance and cognitive dysfunction. Nat Rev Neurosci. 2015;16(11):660–71. pmid:26462756
  8. 8. Arnold SE, Lucki I, Brookshire BR, Carlson GC, Browne CA, Kazi H, et al. High fat diet produces brain insulin resistance, synaptodendritic abnormalities and altered behavior in mice. Neurobiol Dis. 2014;67:79–87. pmid:24686304
  9. 9. Clegg DJ, Gotoh K, Kemp C, Wortman MD, Benoit SC, Brown LM, et al. Consumption of a high-fat diet induces central insulin resistance independent of adiposity. Physiol Behav. 2011;103(1):10–6. pmid:21241723
  10. 10. Grillo CA, Piroli GG, Lawrence RC, Wrighten SA, Green AJ, Wilson SP, et al. Hippocampal Insulin Resistance Impairs Spatial Learning and Synaptic Plasticity. Diabetes. 2015;64(11):3927–36. pmid:26216852
  11. 11. Kothari V, Luo Y, Tornabene T, O’Neill AM, Greene MW, Geetha T, et al. High fat diet induces brain insulin resistance and cognitive impairment in mice. Biochim Biophys Acta Mol Basis Dis. 2017;1863(2):499–508. pmid:27771511
  12. 12. Liu Z, Patil IY, Jiang T, Sancheti H, Walsh JP, Stiles BL, et al. High-fat diet induces hepatic insulin resistance and impairment of synaptic plasticity. PLoS One. 2015;10(5):e0128274. pmid:26023930
  13. 13. Seabrook LT, Peterson CS, Noble D, Sobey M, Tayyab T, Kenney T, et al. Short- and long-term high-fat diet exposure differentially alters phasic and tonic GABAergic signaling onto lateral orbitofrontal pyramidal neurons. J Neurosci. 2023;43(50):8582–95. pmid:37793910
  14. 14. Hancock CR, Han D-H, Chen M, Terada S, Yasuda T, Wright DC, et al. High-fat diets cause insulin resistance despite an increase in muscle mitochondria. Proc Natl Acad Sci U S A. 2008;105(22):7815–20. pmid:18509063
  15. 15. Duan Y, Zeng L, Zheng C, Song B, Li F, Kong X, et al. Inflammatory links between high fat diets and diseases. Front Immunol. 2018;9:2649. pmid:30483273
  16. 16. Calegari VC, Torsoni AS, Vanzela EC, Araújo EP, Morari J, Zoppi CC, et al. Inflammation of the hypothalamus leads to defective pancreatic islet function. J Biol Chem. 2011;286(15):12870–80. pmid:21257748
  17. 17. Hersey M, Woodruff JL, Maxwell N, Sadek AT, Bykalo MK, Bain I, et al. High-fat diet induces neuroinflammation and reduces the serotonergic response to escitalopram in the hippocampus of obese rats. Brain Behav Immun. 2021;96:63–72. pmid:34010713
  18. 18. Yang Y, Smith DL Jr, Keating KD, Allison DB, Nagy TR. Variations in body weight, food intake and body composition after long-term high-fat diet feeding in C57BL/6J mice. Obesity (Silver Spring). 2014;22(10):2147–55. pmid:24942674
  19. 19. Gannon OJ, Robison LS, Salinero AE, Abi-Ghanem C, Mansour FM, Kelly RD, et al. High-fat diet exacerbates cognitive decline in mouse models of Alzheimer’s disease and mixed dementia in a sex-dependent manner. J Neuroinflammation. 2022;19(1):110. pmid:35568928
  20. 20. Murray S, Chen EY. Examining adolescence as a sensitive period for high-fat, high-sugar diet exposure: a systematic review of the animal literature. Front Neurosci. 2019;13:1108. pmid:31708722
  21. 21. Boitard C, Etchamendy N, Sauvant J, Aubert A, Tronel S, Marighetto A, et al. Juvenile, but not adult exposure to high-fat diet impairs relational memory and hippocampal neurogenesis in mice. Hippocampus. 2012;22(11):2095–100. pmid:22593080
  22. 22. Lloyd K, Reyes T. High fat diet consumption restricted to adolescence has minimal effects on adult executive function that vary by sex. Nutr Neurosci. 2022;25(4):801–11. pmid:32840166
  23. 23. Pettersson US, Waldén TB, Carlsson P-O, Jansson L, Phillipson M. Female mice are protected against high-fat diet induced metabolic syndrome and increase the regulatory T cell population in adipose tissue. PLoS One. 2012;7(9):e46057. pmid:23049932
  24. 24. Bárcena C, Quirós PM, Durand S, Mayoral P, Rodríguez F, Caravia XM, et al. Methionine restriction extends lifespan in progeroid mice and alters lipid and bile acid metabolism. Cell Rep. 2018;24(9):2392–403. pmid:30157432
  25. 25. Plummer JD, Johnson JE. Extension of cellular lifespan by methionine restriction involves alterations in central carbon metabolism and is mitophagy-dependent. Front Cell Dev Biol. 2019;7:301. pmid:31850341
  26. 26. Wang L, Ren B, Zhang Q, Chu C, Zhao Z, Wu J, et al. Methionine restriction alleviates high-fat diet-induced obesity: Involvement of diurnal metabolism of lipids and bile acids. Biochim Biophys Acta Mol Basis Dis. 2020;1866(11):165908. pmid:32745530
  27. 27. Thyne KM, Salmon AB. Metabolic benefits of methionine restriction in adult mice do not require functional methionine sulfoxide reductase A (MsrA). Sci Rep. 2022;12(1):5073. pmid:35332198
  28. 28. Wanders D, Forney LA, Stone KP, Burk DH, Pierse A, Gettys TW. FGF21 mediates the thermogenic and insulin-sensitizing effects of dietary methionine restriction but not its effects on hepatic lipid metabolism. Diabetes. 2017;66(4):858–67. pmid:28096260
  29. 29. Wanders D, Stone KP, Forney LA, Cortez CC, Dille KN, Simon J, et al. Role of GCN2-independent signaling through a noncanonical PERK/NRF2 pathway in the physiological responses to dietary methionine restriction. Diabetes. 2016;65(6):1499–510. pmid:26936965
  30. 30. Fang H, Stone KP, Wanders D, Forney LA, Gettys TW. The Origins, Evolution, and Future of Dietary Methionine Restriction. Annu Rev Nutr. 2022;42:201–26. pmid:35588443
  31. 31. Castaño-Martinez T, Schumacher F, Schumacher S, Kochlik B, Weber D, Grune T, et al. Methionine restriction prevents onset of type 2 diabetes in NZO mice. FASEB J. 2019;33(6):7092–102. pmid:30841758
  32. 32. Luo T, Yang Y, Xu Y, Gao Q, Wu G, Jiang Y, et al. Dietary methionine restriction improves glucose metabolism in the skeletal muscle of obese mice. Food Funct. 2019;10(5):2676–90. pmid:31025993
  33. 33. Stone KP, Wanders D, Orgeron M, Cortez CC, Gettys TW. Mechanisms of increased in vivo insulin sensitivity by dietary methionine restriction in mice. Diabetes. 2014;63(11):3721–33. pmid:24947368
  34. 34. Ables GP, Perrone CE, Orentreich D, Orentreich N. Methionine-restricted C57BL/6J mice are resistant to diet-induced obesity and insulin resistance but have low bone density. PLoS One. 2012;7(12):e51357. pmid:23236485
  35. 35. Feng C, Jiang Y, Li S, Ge Y, Shi Y, Tang X, et al. Methionine restriction improves cognitive ability by alleviating hippocampal neuronal apoptosis through H19 in middle-aged insulin-resistant mice. Nutrients. 2022;14(21):4503. pmid:36364766
  36. 36. Ren B, Wang L, Shi L, Jin X, Liu Y, Liu RH, et al. Methionine restriction alleviates age-associated cognitive decline via fibroblast growth factor 21. Redox Biol. 2021;41:101940. pmid:33765615
  37. 37. Zhang H, Zhu R, Sun Q, Du L. Research progress on the role of FGF21 in insulin resistance. Front Endocrinol (Lausanne). 2025;16:1619462. pmid:40881124
  38. 38. Owen BM, Ding X, Morgan DA, Coate KC, Bookout AL, Rahmouni K, et al. FGF21 acts centrally to induce sympathetic nerve activity, energy expenditure, and weight loss. Cell Metab. 2014;20(4):670–7. pmid:25130400
  39. 39. Andersen B, Straarup EM, Heppner KM, Takahashi DL, Raffaele V, Dissen GA, et al. FGF21 decreases body weight without reducing food intake or bone mineral density in high-fat fed obese rhesus macaque monkeys. Int J Obes (Lond). 2018;42(6):1151–60. pmid:29892039
  40. 40. Liu C, Schönke M, Zhou E, Li Z, Kooijman S, Boon MR, et al. Pharmacological treatment with FGF21 strongly improves plasma cholesterol metabolism to reduce atherosclerosis. Cardiovasc Res. 2022;118(2):489–502. pmid:33693480
  41. 41. Li H, Wu G, Fang Q, Zhang M, Hui X, Sheng B, et al. Fibroblast growth factor 21 increases insulin sensitivity through specific expansion of subcutaneous fat. Nat Commun. 2018;9(1):272. pmid:29348470
  42. 42. Wang N, Zhao T-T, Li S-M, Sun X, Li Z-C, Li Y-H, et al. Fibroblast growth factor 21 exerts its anti-inflammatory effects on multiple cell types of adipose tissue in obesity. Obesity (Silver Spring). 2019;27(3):399–408. pmid:30703283
  43. 43. Kang K, Xu P, Wang M, Chunyu J, Sun X, Ren G, et al. FGF21 attenuates neurodegeneration through modulating neuroinflammation and oxidant-stress. Biomed Pharmacother. 2020;129:110439. pmid:32768941
  44. 44. Sa-Nguanmoo P, Tanajak P, Kerdphoo S, Satjaritanun P, Wang X, Liang G, et al. FGF21 improves cognition by restored synaptic plasticity, dendritic spine density, brain mitochondrial function and cell apoptosis in obese-insulin resistant male rats. Horm Behav. 2016;85:86–95. pmid:27566237
  45. 45. Sharma S, Dixon T, Jung S, Graff EC, Forney LA, Gettys TW, et al. Dietary methionine restriction reduces inflammation independent of FGF21 action. Obesity (Silver Spring). 2019;27(8):1305–13. pmid:31207147
  46. 46. Forney LA, Stone KP, Gibson AN, Vick AM, Sims LC, Fang H, et al. Sexually dimorphic effects of dietary methionine restriction are dependent on age when the diet is introduced. Obesity (Silver Spring). 2020;28(3):581–9. pmid:32012481
  47. 47. Badman MK, Pissios P, Kennedy AR, Koukos G, Flier JS, Maratos-Flier E. Hepatic fibroblast growth factor 21 is regulated by PPARalpha and is a key mediator of hepatic lipid metabolism in ketotic states. Cell Metab. 2007;5(6):426–37. pmid:17550778
  48. 48. Badman MK, Koester A, Flier JS, Kharitonenkov A, Maratos-Flier E. Fibroblast growth factor 21-deficient mice demonstrate impaired adaptation to ketosis. Endocrinology. 2009;150(11):4931–40. pmid:19819944
  49. 49. Hua L, Li J, Yang Y, Jiang D, Jiang X, Han X, et al. Liver-derived FGF21 is required for the effect of time-restricted feeding on high-fat diet-induced fatty liver in mice. FASEB J. 2023;37(5):e22898. pmid:37022664
  50. 50. Lees EK, Król E, Grant L, Shearer K, Wyse C, Moncur E, et al. Methionine restriction restores a younger metabolic phenotype in adult mice with alterations in fibroblast growth factor 21. Aging Cell. 2014;13(5):817–27. pmid:24935677
  51. 51. Tran LT, Park S, Kim SK, Lee JS, Kim KW, Kwon O. Hypothalamic control of energy expenditure and thermogenesis. Exp Mol Med. 2022;54(4):358–69. pmid:35301430
  52. 52. Williams G, Harrold JA, Cutler DJ. The hypothalamus and the regulation of energy homeostasis: lifting the lid on a black box. Proc Nutr Soc. 2000;59(3):385–96. pmid:10997654
  53. 53. Scherer T, Sakamoto K, Buettner C. Brain insulin signalling in metabolic homeostasis and disease. Nat Rev Endocrinol. 2021;17(8):468–83. pmid:34108679
  54. 54. Qiu J, Zhang C, Borgquist A, Nestor CC, Smith AW, Bosch MA, et al. Insulin excites anorexigenic proopiomelanocortin neurons via activation of canonical transient receptor potential channels. Cell Metab. 2014;19(4):682–93. pmid:24703699
  55. 55. Smith K, Fan J, Marriner GA, Gerdes J, Kessler R, Zinn KR. Distribution of insulin in primate brain following nose-to-brain transport. Alzheimers Dement (N Y). 2024;10(1):e12459. pmid:38469552
  56. 56. Chen Y, Zhao Y, Dai C-L, Liang Z, Run X, Iqbal K, et al. Intranasal insulin restores insulin signaling, increases synaptic proteins, and reduces Aβ level and microglia activation in the brains of 3xTg-AD mice. Exp Neurol. 2014;261:610–9. pmid:24918340
  57. 57. Liu Q, Wang Z, Cao J, Dong Y, Chen Y. The role of insulin signaling in hippocampal-related diseases: a focus on Alzheimer’s disease. Int J Mol Sci. 2022;23(22):14417. pmid:36430894
  58. 58. Zhang Y, Wang Y, Li Y, Pang J, Höhn A, Dong W, et al. Methionine restriction alleviates diabetes-associated cognitive impairment via activation of FGF21. Redox Biol. 2024;77:103390. pmid:39383602
  59. 59. Souza Matos M, Sil A, Riedel G, Platt B, Delibegovic M. Effects of age and dietary methionine restriction on cognitive and behavioural phenotypes in the rTg4510 mouse model of frontotemporal dementia. Neurobiol Aging. 2025;146:24–37. pmid:39577250
  60. 60. Hill CM, Laeger T, Albarado DC, McDougal DH, Berthoud H-R, Münzberg H, et al. Low protein-induced increases in FGF21 drive UCP1-dependent metabolic but not thermoregulatory endpoints. Sci Rep. 2017;7(1):8209. pmid:28811495
  61. 61. Laeger T, Albarado DC, Burke SJ, Trosclair L, Hedgepeth JW, Berthoud H-R, et al. Metabolic responses to dietary protein restriction require an increase in FGF21 that is delayed by the absence of GCN2. Cell Rep. 2016;16(3):707–16. pmid:27396336
  62. 62. Laeger T, Henagan TM, Albarado DC, Redman LM, Bray GA, Noland RC, et al. FGF21 is an endocrine signal of protein restriction. J Clin Invest. 2014;124(9):3913–22. pmid:25133427
  63. 63. Nicolaisen TS, Lyster AE, Sjøberg KA, Haas DT, Voldstedlund CT, Lundsgaard A-M, et al. Dietary protein restriction elevates FGF21 levels and energy requirements to maintain body weight in lean men. Nat Metab. 2025;7(3):602–16. pmid:40050437
  64. 64. Hill CM, Berthoud H-R, Münzberg H, Morrison CD. Homeostatic sensing of dietary protein restriction: a case for FGF21. Front Neuroendocrinol. 2018;51:125–31. pmid:29890191
  65. 65. Solon-Biet SM, Cogger VC, Pulpitel T, Heblinski M, Wahl D, McMahon AC, et al. Defining the nutritional and metabolic context of FGF21 using the geometric framework. Cell Metab. 2016;24(4):555–65. pmid:27693377
  66. 66. Hill CM, Laeger T, Dehner M, Albarado DC, Clarke B, Wanders D, et al. FGF21 signals protein status to the brain and adaptively regulates food choice and metabolism. Cell Rep. 2019;27(10):2934-2947.e3. pmid:31167139
  67. 67. Kim SQ, Spann RA, Hill CM, Berryman CE, Berthoud H-R, McDougal DH, et al. Protein-restricted diets and their impact on metabolic health and aging. Annu Rev Nutr. 2025;45(1):269–97. pmid:40359345
  68. 68. Larson KR, Russo KA, Fang Y, Mohajerani N, Goodson ML, Ryan KK. Sex differences in the hormonal and metabolic response to dietary protein dilution. Endocrinology. 2017;158(10):3477–87. pmid:28938440
  69. 69. Chaffin AT, Larson KR, Huang K-P, Wu C-T, Godoroja N, Fang Y, et al. FGF21 controls hepatic lipid metabolism via sex-dependent interorgan crosstalk. JCI Insight. 2022;7(19):e155848. pmid:35998055
  70. 70. Carey MR, Archer CR, Rapkin J, Castledine M, Jensen K, House CM, et al. Mapping sex differences in the effects of protein and carbohydrates on lifespan and reproduction in Drosophila melanogaster: is measuring nutrient intake essential?. Biogerontology. 2022;23(1):129–44. pmid:35122572