Causal relationship between gut microbiota and hidradenitis suppurativa: a two-sample Mendelian randomization study

Frontiers in Microbiology, Год журнала: 2024, Номер 15

Опубликована: Янв. 29, 2024

Background Accumulating evidence suggests that alterations in gut microbiota composition are associated with the hidradenitis suppurativa (HS). However, causal association between and HS remain undetermined. Methods We performed a bidirectional two-sample Mendelian randomization (MR) analysis using genome-wide study summary data of from MiBioGen consortium which concluded 18,340 individuals analyzed by Consortium, comprising 211 microbiota. were acquired strictly defined collected FinnGenbiobank analysis, included 211,548 European ancestors (409 patients, 211,139 controls). The inverse variance weighted method (IVW), median (WME), simple model, median, MR-Egger used to determine changes pathogenic bacterial taxa, followed sensitivity including horizontal pleiotropy analysis. MR Steiger test evaluated strength leave-one-out assessed reliability results. Additionally, reverse was carried out seek for possible causality. Results By combining findings all steps, we identified four namely, Family XI, Porphyromonadaceae, Clostridium innocuum group Lachnospira. risk might be positively high relative abundance (Odds ratio, OR 2.17, p = 0.00038) Lachnospira (OR 2.45, 0.017) but negatively XI 0.67, 0.049) Porphyromonadaceae 0.29, 0.014). There no noticeable outliers, pleiotropy, or heterogeneity. Furthermore, there proof causation found study. Conclusion This indicates have anti-protective effect on HS, whereas protective HS. Our reveals exists beneficial detrimental offers potentially methods therapy avoidance

Язык: Английский

---

Impact of Ketogenic and Mediterranean Diets on Gut Microbiota Profile and Clinical Outcomes in Drug-Naïve Patients with Diabesity: A 12-Month Pilot Study

Metabolites, Год журнала: 2025, Номер 15(1), С. 22 - 22

Опубликована: Янв. 6, 2025

Background/Objectives: Managing type 2 diabetes mellitus (T2DM) and obesity requires a multidimensional, patient-centered approach including nutritional interventions (NIs) physical activity. Changes in the gut microbiota (GM) have been linked to metabolic alterations typical of T2DM obesity, they are strongly influenced by diet. However, few studies evaluated effects on GM very-low-calorie ketogenic diet (VLCKD) patients with T2DM, especially mid-term long-term. This longitudinal study is aimed at evaluating long-term impact VLCKD Mediterranean (MD) anthropometric, metabolic, lifestyle parameters 11 (diabesity). extends previously published results short-term (three months) these NIs same patients. Methods: At baseline, were randomly assigned either (KETO group) or (MEDI group). After two months, KETO group gradually shifted (VLCKD-MD), according current guidelines. From fourth month until end both groups followed similar MD. Previous showed that had more beneficial than MD several variables for 3 months NI. In this study, analyses extended six (T6) twelve (T12) NI comparing data prospectively against baseline (T0). The analysis was performed through next-generation sequencing. Results: Improvements anthropometric pronounced T6, particularly body mass index (−5.8 vs. −1.7 kg/m2; p = 0.006) waist circumference (−15.9 −5.2 cm; 0.011). significant improvement HbA1c (6.7% 5.5% 0.02) triglyceride (158 95 mg/dL 0.04) values compared T0 observed only group, which maintained achieved T3. VLCKD-MD phenotype. A substantial positive modulatory effect up sixth due progressive increase bacterial markers human health. month, most health decreased, though still increased baseline. Among them, Verrucomicrobiota phylum identified as main biomarker together its members Verrucomicrobiae, Akkermansiaceae, Verrucomicrobiales, Akkermansia T6 Conclusions: Both dietary approaches ameliorated status, but VLCKD, support MD, has shown greater improvements parameters, well profile,

Язык: Английский

---

Understanding How Pre- and Probiotics Affect the Gut Microbiome and Metabolic Health

AJP Endocrinology and Metabolism, Год журнала: 2024, Номер 327(1), С. E89 - E102

Опубликована: Май 29, 2024

The gut microbiome, a complex assembly of microorganisms, significantly impacts human health by influencing nutrient absorption, the immune system, and disease response. These microorganisms form dynamic ecosystem that is critical to maintaining overall well-being. Prebiotics probiotics are pivotal in regulating microbiota composition. nourish beneficial bacteria promote their growth, whereas help maintain balance within microbiome. This intricate extends several aspects health, including integrity barrier, responses, producing metabolites crucial for metabolic health. Dysbiosis, or an imbalance microbiota, has been linked disorders such as type 2 diabetes, obesity, cardiovascular disease. Impaired barrier function, endotoxemia, low-grade inflammation associated with toll-like receptors proinflammatory pathways. Short-chain fatty acids derived from microbial fermentation modulate anti-inflammatory system positively influence probiotics, especially Lactobacillus Bifidobacterium strains, may improve outcomes, glycemic control diabetes. It important consider strain-specific effects study variability when interpreting these findings, highlighting need further research optimize therapeutic potential. aim this report therefore review role prebiotics on microbiome role, integrating broad understanding physiological mechanisms clinical perspective.

Язык: Английский

---

The Gut Microbiota and Diabetes: Research, Translation, and Clinical Applications—2023 Diabetes, Diabetes Care, and Diabetologia Expert Forum

Diabetes Care, Год журнала: 2024, Номер unknown

Опубликована: Июнь 24, 2024

This article summarizes the state of science on role gut microbiota (GM) in diabetes from a recent international expert forum organized by Diabetes, Diabetes Care, and Diabetologia, which was held at European Association for Study 2023 Annual Meeting Hamburg, Germany. Forum participants included clinicians basic scientists who are leading investigators field intestinal microbiome metabolism. Their conclusions were as follows: 1) GM may be involved pathophysiology type 2 diabetes, microbially produced metabolites associate both positively negatively with disease, mechanistic links functions (e.g., genes butyrate production) glucose metabolism have recently emerged through use Mendelian randomization humans; 2) highly individualized nature poses major research obstacle, large cohorts deep-sequencing metagenomic approach required robust assessments associations causation; 3) because single-time point sampling misses intraindividual dynamics, future studies repeated measures within individuals needed; 4) much will to determine applicability this expanding knowledge diagnosis treatment, novel technologies improved computational tools important achieve goal.

Язык: Английский

---

Impact of HbA1c control and type 2 diabetes mellitus exposure on the oral microbiome profile in the elderly population

Journal of Oral Microbiology, Год журнала: 2024, Номер 16(1)

Опубликована: Май 15, 2024

Objective To investigate the associations of oral microbiome status with diabetes characteristics in elderly patients type 2 mellitus.

Язык: Английский

---

The gut microbiota and diabetes: research, translation, and clinical applications – 2023 Diabetes, Diabetes Care, and Diabetologia Expert Forum

Diabetologia, Год журнала: 2024, Номер 67(9), С. 1760 - 1782

Опубликована: Июнь 24, 2024

Abstract This article summarises the state of science on role gut microbiota (GM) in diabetes from a recent international expert forum organised by Diabetes , Care and Diabetologia which was held at European Association for Study 2023 Annual Meeting Hamburg, Germany. Forum participants included clinicians basic scientists who are leading investigators field intestinal microbiome metabolism. Their conclusions were as follows: (1) GM may be involved pathophysiology type 2 diabetes, microbially produced metabolites associate both positively negatively with disease, mechanistic links functions (e.g. genes butyrate production) glucose metabolism have recently emerged through use Mendelian randomisation humans; (2) highly individualised nature poses major research obstacle, large cohorts deep-sequencing metagenomic approach required robust assessments associations causation; (3) because single time point sampling misses intraindividual dynamics, future studies repeated measures within individuals needed; (4) much will to determine applicability this expanding knowledge diagnosis treatment, novel technologies improved computational tools important achieve goal.

Язык: Английский

---

Genetic associations between gut microbiota and type 2 diabetes mediated by plasma metabolites: a Mendelian randomization study

Frontiers in Endocrinology, Год журнала: 2024, Номер 15

Опубликована: Авг. 9, 2024

Numerous research studies have indicated a possible association between type 2 diabetes (T2DM) and gut microbiota. To explore specific metabolic pathways connecting microbiota T2DM, we employed Mendelian randomization (MR) linkage disequilibrium score regression (LDSC) techniques.

Язык: Английский

---

Dissecting casual effects of diet on the risk of inflammatory bowel disease and the potential mediation by gut microbiota: a Mendelian randomization study

Food, Nutrition and Health., Год журнала: 2025, Номер 2(1)

Опубликована: Янв. 3, 2025

Abstract Background Diet plays a fundamental role in maintaining intestinal health. Here, we investigated whether there is the causal association of diet with inflammatory bowel disease (IBD), and potential effect gut microbiota on these relationships, by using two-sample Mendelian randomization (MR) analyses. Materials methods Genetic instruments for 29 dietary intake variables 139 food-liking traits were obtained from UK-Biobank. The GWAS statistics IBD its two subtypes, ulcerative colitis (UC) Crohn's (CD), IEU database. microbiome was MiBioGen alliance. Associations assessed inverse-variance weighted method, MR-Egger, median, simple mode mode. Gut mediated associations IBD. Results We identified between 21 factors (including 3 18 traits) IBD, UC and/or CD. These affected 22 bacteria genera, among them, 9 causally associated risk. Notably, Ruminococcus_torques_group , symbiotic bacterium possessing anti-inflammatory properties, significantly relationship various (e.g., liking acquired taste, strong flavor, blue cheese beans) risks. Ruminococcaceae UCG003 showed significant mediating efficacy relation sharp flavor Conclusion Our study reveals impacts risk provides novel insights modulating as therapeutic targets prevention.

Язык: Английский

---

Implication of Gut Mycobiome and Virome in Type-2 Diabetes Mellitus: Uncovering the Hidden Players

Phenomics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Язык: Английский

---

Gut microbiome links obesity to type 2 diabetes: insights from Mendelian randomization

BMC Microbiology, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 27, 2025

Research has established links between the gut microbiome (GM) and both obesity type 2 diabetes (T2D), which is much discussed, but underexplored. This study employed body mass index (BMI) as measurement of to delve deeper into correlations from a genetic perspective. We performed Mendelian randomization (MR) analysis examine causal effects GM on T2D BMI, vice versa. Genome-wide association (GWAS) summary datasets were utilized for analysis, including (N = 933,970), BMI 806,834), two international consortium MiBioGen (211 taxa, N 18,340) Dutch Microbiome Project (DMP) (207 7,738). These mainly cover European populations, with additional cohorts Asia other regions. To further explore potential mediating role in connections T2D, their interaction patterns summarized network. MR identified 9 taxa that showed protective properties against T2D. Seven species within Firmicutes Bacteroidales phyla DMP, (Odds Ratio (OR): 0.94-0.95). Conversely, components contributing abundance 12 associated increased risks (OR: 1.04-1.12). Furthermore, may elevate seven 1.03-1.08) reduce six 0.93-0.97). In influence component composition, affected 52 bacterial 28 decreasing 0.75-0.92) 24 increasing 1.08-1.27). Besides, abundances 25 negatively correlated 0.95-0.99), while positive detected 14 1.01-1.05). Notably, we uncovered 11 genetically formed an interactive Our findings provide evidence GM-mediated The identification relevant offers valuable insights these diseases.

Язык: Английский

---