Alteration in Gut Microbiota Composition of Older Adults Is Associated with Obesity and Its Indices: A Systematic Review

Tavassol, Z. Hoseini; Ejtahed, H.-S.; Atlasi, R.; Saghafian, F.; Khalagi, K.; Hasani-Ranjbar, Shirin; Siadat, S.D.; Nabipour, I.; Ostovar, A.; Larijani, B.

doi:10.1007/s12603-023-1988-8

Cited by 7 publications

(4 citation statements)

References 53 publications

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“…The GM exerted an impact on the body’s metabolic processes and obesity via insulin resistance (IR) ( Hoseini Tavassol et al, 2023 ). Previous research underscored the positive correlation between the severity of IR and the incidence of DN ( Penno et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

Jin,

Han,

Yang

et al. 2024

Front. Microbiol.

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BackgroundThe correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained.MethodsThis research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran’s Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN.ResultsAccording to IVW analysis, Class Verrucomicrobiae (p = 0.003), Order Verrucomicrobiales (p = 0.003), Family Verrucomicrobiaceae (p = 0.003), Genus Akkermansia (p = 0.003), Genus Catenibacterium (p = 0.031), Genus Coprococcus 1 (p = 0.022), Genus Eubacterium hallii group (p = 0.018), and Genus Marvinbryantia (p = 0.023) were associated with a higher risk of DN. On the contrary, Class Actinobacteria (p = 0.037), Group Eubacterium ventriosum group (p = 0.030), Group Ruminococcus gauvreauii group (p = 0.048), Order Lactobacillales (p = 0.045), Phylum Proteobacteria (p = 0.017) were associated with a lower risk of DN. The sensitivity analysis did not identify any substantial pleiotropy or heterogeneity in the outcomes. We found causal effects of DN on 11 GM species in the reverse MR analysis. Notably, Phylum Proteobacteria and DN are mutually causalities.ConclusionThis study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.

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Section: Discussionmentioning

confidence: 99%

Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

Jin,

Han,

Yang

et al. 2024

Front. Microbiol.

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“…Conversely, higher concentrations of Peptococcaceae have been linked to metabolic dysfunction [46] . Porphyromonadaceae, on the other hand, have been strongly linked to obesity in older adults [47] . Interestingly, a combination of low Porphyromonadaceae and high Peptococcaceae levels has been found to exacerbate adipose tissue and systemic in ammation in the lower abdomen [48] .…”

Section: Discussionmentioning

confidence: 99%

The association between gut microbiota and frozen shoulder: a two-sample Mendelian randomization study

Chen,

Jiang,

Shen

et al. 2023

Preprint

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Background Current understanding of the link between gut microbiota (GM) and frozen shoulder (FS) remains limited. This study employs the R software for a two-sample Mendelian randomization (MR) analysis to investigate their causal relationship. Method Our study is based on publicly available genome-wide association studies (GWAS). It utilizes GM data from 18,340 participants as the exposure and FSdata from 451,099 individuals as the outcome. The primary analytical method employed is the inverse-variance weighted (IVW) approach. Complementary analyses include the weighted median, MR-Egger, simple mode, and weighted mode methods. Additionally, heterogeneity is assessed using the Cochran Q test. Pleiotropy is evaluated using the MR-Egger intercept and MR-PRESSO analysis. The robustness of our findings is ensured through leave-one-out analysis. Results The IVW analysis reveals that certain GM, including Gammaproteobacteria (OR = 0.83, p = 0.019), Bifidobacteriales (OR = 0.85, p = 0.018), Alcaligenaceae (OR = 0.88, p = 0.047), Bifidobacteriaceae (OR = 0.85, p = 0.018), Lachnospiraceae UCG-004 (OR = 0.87, p = 0.038), Lactobacillus (OR = 0.91, p = 0.042), and Ruminococcaceae UCG-003 (OR = 0.83, p = 0.009), act as protective factors against FS. Conversely, Alphaproteobacteria (OR = 1.19, p = 0.007), Peptococcaceae (OR = 1.15, p = 0.028), and Porphyromonadaceae (OR = 1.24, p = 0.016) are identified as risk factors for FS. The reliability of these findings is bolstered by a series of rigorous tests.。 Conclusion A potential causal link between FS and specific types of GM has been confirmed in the current study.

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“…Changes to the gut microbiota with weight loss did not differ between types of intervention. In addition, differences in microbiota-related metabolites after bariatric surgery, RYGB, or sleeve gastronomy (SG) have been analyzed [59] . Data suggest that the metabolite p-cresol increases after SG compared to RYGB, which may be due to increased levels of Bacteroides with weight loss, which is one of the genera that ferments amino acids phenylalanine and tyrosine to produce p-cresol.…”

Section: Gut Dysbiosis In Obesity and Agingmentioning

confidence: 99%

Probiotics, prebiotics, synbiotics and other microbiome-based innovative therapeutics to mitigate obesity and enhance longevity via the gut-brain axis

Boyajian,

Islam,

Abosalha

et al. 2024

Microbiome Res Rep

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The global prevalence of obesity currently exceeds 1 billion people and is accompanied by an increase in the aging population. Obesity and aging share many hallmarks and are leading risk factors for cardiometabolic disease and premature death. Current anti-obesity and pro-longevity pharmacotherapies are limited by side effects, warranting the development of novel therapies. The gut microbiota plays a major role in human health and disease, with a dysbiotic composition evident in obese and aged individuals. The bidirectional communication system between the gut and the central nervous system, known as the gut-brain axis, may link obesity to unhealthy aging. Modulating the gut with microbiome-targeted therapies, such as biotics, is a novel strategy to treat and/or manage obesity and promote longevity. Biotics represent material derived from living or once-living organisms, many of which have therapeutic effects. Pre-, pro-, syn- and post-biotics may beneficially modulate gut microbial composition and function to improve obesity and the aging process. However, the investigation of biotics as next-generation therapeutics has only just begun. Further research is needed to identify therapeutic biotics and understand their mechanisms of action. Investigating the function of the gut-brain axis in obesity and aging may lead to novel therapeutic strategies for obese, aged and comorbid (e.g., sarcopenic obese) patient populations. This review discusses the interrelationship between obesity and aging, with a particular emphasis on the gut microbiome, and presents biotics as novel therapeutic agents for obesity, aging and related disease states.

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Alteration in Gut Microbiota Composition of Older Adults Is Associated with Obesity and Its Indices: A Systematic Review

Cited by 7 publications

References 53 publications

Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

The association between gut microbiota and frozen shoulder: a two-sample Mendelian randomization study

Probiotics, prebiotics, synbiotics and other microbiome-based innovative therapeutics to mitigate obesity and enhance longevity via the gut-brain axis

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