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Fig. 1. The underlying mechanism of depression. Brain insulin resistance develops due to the failure of brain cells to respond to insulin activity. The hippocampus, hypothalamus, and cortex regions of the central nervous system regulate insulin levels in
Figure 3 Diagram

Brain insulin resistance mechanisms underlying depression are depicted, showing how HPA axis dysregulation, reduced anterior cingulate cortex volume, and impaired hippocampal function contribute to the condition.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Fig. 2. Obesity, diabetes, and metabolic syndrome are metabolic diseases that coexist with depression-Created with BioRender.com.
Figure 4 Diagram

Obesity, diabetes, and metabolic syndrome are illustrated as metabolic diseases that commonly coexist with depression, highlighting their shared pathophysiological mechanisms through chronic low-grade inflammation.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Figure 5
Figure 5 Diagram

Molecular pathways connecting stress-induced inflammation to insulin resistance are detailed, tracing how inflammatory signaling cascades impair insulin receptor substrate phosphorylation.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Figure 6
Figure 6 Diagram

Bidirectional relationships between depression and metabolic disturbances are outlined, showing how each condition exacerbates the other through shared inflammatory and neuroendocrine mechanisms.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Fig. 5. Treatment option for major depressive disorders-Created with BioRender.com.
Figure 7 Diagram

Treatment options for major depressive disorders are presented, including pharmacological, psychological, and lifestyle interventions that address the inflammatory-metabolic axis.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Fig. 6. A schematic representation of the factors affecting metabolic syndrome and the corresponding dietary and lifestyle changes for the alleviating the same.
Figure 8 Diagram

A schematic representation maps the factors contributing to metabolic syndrome alongside corresponding dietary and lifestyle modifications that may alleviate these conditions, integrating evidence on stress management and anti-inflammatory nutrition.

A review on linking stress, depression, and insulin resistance via low-grade chronic …

Figure 1
Figure 1

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 2
Figure 2

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 3
Figure 3

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 4
Figure 4

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 5
Figure 5

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 6
Figure 6

Curcumin mitigates polycystic ovary syndrome in mice by suppressing TLR4/MyD88/NF-κB signaling pathway …

Figure 1. Experimental design. SCS: sodium carboxymethyl cellulose; BE: berberine and evodiamine; FF: fenofibrate.
Figure 5 Flowchart

The experimental design outlines the group allocation including sodium carboxymethyl cellulose control, berberine-evodiamine combination, and fenofibrate positive control arms.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Figure 6
Figure 6 Chart

Gut microbiota composition analyzed by 16S rRNA sequencing reveals distinct community structures across treatment groups, with the combination therapy restoring microbial diversity.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Figure 7
Figure 7 Chart

Alpha diversity indices of gut microbiota are compared across groups, indicating that berberine and evodiamine co-administration partially reverses high-fat diet-induced dysbiosis.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Figure 8
Figure 8 Chart

Key bacterial taxa differentially abundant between treatment groups are identified, with specific genera associated with improved metabolic outcomes in the combination therapy arm.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Figure 9
Figure 9 Chart

Short-chain fatty acid concentrations in fecal samples reflect changes in microbial metabolic activity following berberine and evodiamine treatment.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Figure 10
Figure 10 Chart

Correlation analysis between gut microbiota composition and hepatic lipid parameters links specific bacterial taxa to the amelioration of non-alcoholic fatty liver disease.

The combination of berberine and evodiamine ameliorates high-fat diet-induced non-alcoholic fatty liver …

Fig. 2 Orthogonal partial least‑squares discriminant analysis (OPLS‑DA) score plots in CSF samples obtained from (A) comparison between young, middle, and old patients (reliability: R2X= 0.732, R2Y= 0.320, Q2= 0.206). (B) young patients versus old patient
Figure 6 Chart

Scatter plots of individual metabolite abundance versus age reveal significant correlations for specific compounds, suggesting continuous metabolic drift across the lifespan.

Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid …

Fig. 3 Scatter plot of log2 transformed metabolite abundance and its correlation with age in metabolites with significant correlation with aging. Value refers to log2 transformed intensity and age is given in years. The colored zones refer to 95% confiden
Figure 7 Chart

Sex-stratified metabolite-age correlation analysis in cerebrospinal fluid shows both shared and sex-specific metabolic aging patterns.

Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid …

Fig. 4 Scatter plot of log2 transformed metabolite abundance and its correlation with age within male and female group. Value refers to log2 transformed intensity and age is given in years. The colored zones refer to 95% confidence intervals of the regres
Figure 8 Chart

Pathway enrichment analysis of age-associated CSF metabolites identifies disrupted metabolic pathways, including amino acid and lipid metabolism, during brain aging.

Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid …

Figure 9
Figure 9 Chart

Receiver operating characteristic curves evaluate the discriminative ability of selected CSF metabolites to distinguish older from younger cognitively healthy adults.

Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid …

Fig. 6 A schematic diagram illustrates these profiled CSF metabolites change during brain aging process. These aging‑related CSF metabolomic change might suggest possible blood‑brain barrier(BBB) breakdown, neuroinflammation, and mitochodrial dysfunction
Figure 10 Diagram

A schematic diagram summarizes the profiled CSF metabolite changes during brain aging, linking age-related metabolic shifts to neurodegeneration risk pathways.

Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid …

Figure 1
Figure 1

Dietary vitamin B6 supplementation alleviates heat stress-induced intestinal barrier impairment by regulating …

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