Gut mycobiome and metabolic diseases: The known, the unknown, and the future

Wang, Lijie; Zhang, Kun; Zeng, Yujiao; Luo, Yuting; Peng, Jiayan; Zhang, Jing; Kuang, Tingting; Fan, Gang

doi:10.1016/j.phrs.2023.106807

Cited by 8 publications

(4 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bacteria have been shown to change the activity and availability of bile acids, which facilitate dietary fat and fat-soluble vitamin absorption in the intestinal lumen [47,48]. Similarly, several studies suggest that gut mycobiome dysbiosis might be associated with obesity [49]. The pathogenesis of obesity is likely a complex network of interactions between the host, bacteria, and fungi [50].…”

Section: Discussionmentioning

confidence: 99%

Gut Mycobiome in Atopic Dermatitis and in Overweight Young Children: A Prospective Cohort Study in Finland

Vänni,

Turunen,

Äijälä

et al. 2024

JoF

View full text Add to dashboard Cite

Gut bacterial alterations have been previously linked to several non-communicable diseases in adults, while the association of mycobiome is not well understood in these diseases, especially in infants and children. Few studies have been conducted on the association between gut mycobiome and non-communicable diseases in children. We investigated gut mycobiome composition using 194 faecal samples collected at birth, 6 months after birth, and 18 months after birth in relation to atopic dermatitis (AD) and overweight diagnoses at the age of 18 or 36 months. The mycobiome exhibited distinct patterns, with Truncatella prevalent in the meconium samples of both overweight and non-overweight groups. Saccharomyces took precedence in overweight cases at 6 and 18 months, while Malassezia dominated non-overweight samples at 6 months. Saccharomyces emerged as a consistent high-abundance taxon across groups that had dermatitis and were overweight. We found a weak association between gut mycobiome and AD at birth and overweight at 18 months when using machine learning (ML) analyses. In ML, unidentified fungi, Alternaria, Rhodotorula, and Saccharomyces, were important for classifying AD, while Saccharomyces, Thelebolus, and Dothideomycetes were important for classifying overweight. Gut mycobiome might be associated with the development of AD and overweight in children.

show abstract

Section: Discussionmentioning

confidence: 99%

Gut Mycobiome in Atopic Dermatitis and in Overweight Young Children: A Prospective Cohort Study in Finland

Vänni,

Turunen,

Äijälä

et al. 2024

JoF

View full text Add to dashboard Cite

show abstract

“…Lachnospiraceae, which belongs to the Firmicutes, is relatively abundant in the HFD group and has been shown in previous studies to promote energy absorption and induce obesity in mice [36] . Cladosporium has been found to be positively associated with alanine aminotransferase (ALT) levels, which were upregulated in subjects with non-alcoholic steatohepatitis (NASH) and patients with severe fibrosis [37] . Interestingly, certain members of Eurotium members have been identified as potential probiotics in Fuzhuan brick tea, capable of alleviating obesity in mice [38] .…”

Section: Discussionmentioning

confidence: 99%

Oat avenanthramide B alleviates high-fat diet-induced obesity via regulating fatty acid metabolism involved in gut bacteria and fungi remodeling

Liu,

Huang,

Guan

et al. 2024

Food Science and Human Wellness

View full text Add to dashboard Cite

“…Articles were included if they met the following PI[E]COS (Population, Intervention or Exposure, Comparison, Outcome, Study design) criteria: (1) Population: participants of different ages; (2) Intervention/Exposure: including UPF which was defined according to the NOVA classification system; (3) Comparison: highest/moderate vs. lowest, or dose-response analysis, etc. ; (4) Outcome: metabolic disease risk (e.g., obesity, T2DM, or MetS); and (5) Study design: UR of systematic reviews with meta-analysis of observational studies (cohort, nested case-control, case-control, or cross-sectional studies, etc.…”

Section: Inclusion and Exclusion Criteriamentioning

confidence: 99%

“…Metabolic disease is a metabolic disorder of organs, tissues, or cells caused by abnormal synthesis and decomposition of certain substances during metabolism, such as obesity and type 2 diabetes mellitus (T2DM) (1). It has become a serious burden on human society due to its rapidly increasing incidence worldwide (2)(3)(4).…”

Section: Introductionmentioning

confidence: 99%

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies

Lv,

Wei,

Sun

et al. 2024

Front. Nutr.

View full text Add to dashboard Cite

Background and aimsThere is an ongoing debate on whether to advocate reducing ultra-processed food (UPF) in dietary guidelines to control metabolic disease (such as obesity and type 2 diabetes mellitus [T2DM]). We aimed to summarize the evidence from systematic reviews with meta-analyses between UPF consumption and metabolic diseases risk, assess the credibility, and verify the robustness of these associations.MethodsWe systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from their inception to July 15, 2023, to identify relevant systematic reviews with meta-analyses. We used the random-effects model to evaluate the summary effect size, along with 95% confidence interval and prediction interval. We also assessed heterogeneity, evidence of small-study effects and excess significance bias, and categorized the credibility of each association based on quantitative umbrella review criteria. Additionally, we conducted subgroup and sensitivity analyses to assess the robustness of associations based on continents, study design, dietary assessment methods, definition methods of UPF, population, and units of UPF consumption.ResultsOverall, 6 systematic reviews with 13 meta-analyses were included. Three (23.08%) meta-analyses were classified as highly suggestive evidence for meeting the criteria that associations were significant at p < 10−6, had more than 1,000 cases, and presented the largest study with significance at p < 0.05. Among them, the highest UPF consumption quantile was associated with an increased risk of obesity (OR = 1.55, 95% CI: 1.36–1.77) when compared with the lowest UPF consumption quantile. The highest UPF consumption quantile was associated with an increased risk of T2DM (RR = 1.40, 95% CI: 1.23–1.59) when compared with the lowest UPF consumption quantile, and a 10% increase in UPF consumption (% g/d) was associated with an increased risk of T2DM (RR = 1.12, 95% CI: 1.10–1.13). Meanwhile, the robustness of these associations was verified by a series of subgroup and sensitivity analyses.ConclusionUPF consumption may be a risk factor for several metabolic diseases. However, well-designed studies are still needed to verify our findings in the future.

show abstract

Gut mycobiome and metabolic diseases: The known, the unknown, and the future

Cited by 8 publications

References 76 publications

Gut Mycobiome in Atopic Dermatitis and in Overweight Young Children: A Prospective Cohort Study in Finland

Gut Mycobiome in Atopic Dermatitis and in Overweight Young Children: A Prospective Cohort Study in Finland

Oat avenanthramide B alleviates high-fat diet-induced obesity via regulating fatty acid metabolism involved in gut bacteria and fungi remodeling

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies

Contact Info

Product

Resources

About