Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 362, P. 578 - 584
Published: July 6, 2024
Language: Английский
Journal of Translational Medicine, Journal Year: 2023, Volume and Issue: 21(1)
Published: Sept. 28, 2023
Abstract Background Recent research has established the correlation between gut microbiota and periodontitis via oral-gut axis. Intestinal dysbiosis may play a pivotal bridging role in extra-oral inflammatory comorbidities caused by periodontitis. However, it is unclear whether link merely correlative or orchestrated causative mechanistic interactions. This two-sample Mendelian randomization (MR) study was performed to evaluate potential bidirectional causal relationships Materials Methods A MR analysis using summary statistics from genome-wide association studies (GWAS) for (n = 18,340) (cases 12,251; controls 22,845). The inverse-variance weighted (IVW) method used primary analysis, we employed sensitivity analyses assess robustness of main results. PhenoScanner database then searched pleiotropy SNPs associated with confounders. In order identify possibly influential SNPs, further conducted leave-one-out analysis. Finally, reverse possibility links genetically predicted alternation. Results 2,699 single nucleotide polymorphisms (SNPs) 196 genera were selected as instrumental variables (IVs). IVW suggested that Enterobacteriales (OR: 1.35, 95% CI 1.10–1.66), family Bacteroidales S24.7group 1.22, 1.05–1.41), genus Lachnospiraceae UCG008 1.16, 1.03–1.31), Prevotella 7 1.11, 1.01–1.23), Pasteurellales 1.12, 1.00–1.26) be higher risk periodontitis, while Ruminiclostridium 6 linked lower 0.82, 0.70–0.95). heterogeneity yielded no indication horizontal heterogeneity. Only likelihood remained consistent across all alternative approaches. four down-regulated whereas two up-regulated. Conclusions present demonstrated Our provided fresh insights prevention management Future required support finding our current study.
Language: Английский
Citations
23
Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 11
Published: Jan. 6, 2025
Delirium is a severe neuropsychiatric symptom following acute ischemic stroke (IS) and associated with poor outcomes. Systemic inflammation immune dysregulation are believed to contribute the pathophysiology of delirium. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte (PLR), lymphocyte-to-monocyte (LMR) widely recognized as convenient reliable biomarkers systemic inflammation. However, their association delirium after IS remains unclear. In this study, we identified patients requiring ICU admission from Medical Information Mart for Intensive Care (MIMIC)-IV database. We employed multivariable logistic regression restricted cubic splines (RCS) assess between NLR, PLR, LMR Two-sample Mendelian randomization (MR) analysis was performed further explore causal relationship at genetic level. A total 1,436 were included in whom 214 (14.9%) had multivariate analysis, adjustment confounders, highest quartile NLR (odds [OR] 2.080, 95% confidence interval [CI], 1.282-3.375) (OR 0.503, CI 0.317-0.798) second PLR 1.574, 1.019-2.431) significantly RCS function showed progressive increase risk higher lower LMR. MR only negatively observational studies found significant associations demonstrated potential protective Further prospective needed validate elucidate underlying mechanisms.
Language: Английский
Citations
1
Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14
Published: June 2, 2023
Introduction Growing evidence indicates that variations in the composition of gut microbiota are linked to onset and progression chronic respiratory diseases (CRDs), albeit causal relationship between two remains unclear. Methods We conducted a comprehensive two-sample Mendelian randomization (MR) analysis investigate five main CRDs, including obstructive pulmonary disease (COPD), asthma, idiopathic fibrosis (IPF), sarcoidosis, pneumoconiosis. For MR analysis, inverse variance weighted (IVW) method was utilized as primary method. The MR–Egger, median, MR-PRESSO statistical methods were used supplement. To detect heterogeneity pleiotropy, Cochrane Rucker Q test, MR–Egger intercept global test then implemented. leave-one-out strategy also applied assess consistency results. Results Based on substantial genetic data obtained from genome-wide association studies (GWAS) comprising 3,504,473 European participants, our study offers several microbial taxa, 14 probable taxa (specifically, 5, 3, 2, 3 1 for COPD, IPF, pneumoconiosis, respectively) 33 possible 6, 7, 8, 7 5 play significant roles formation CRDs. Discussion This work implies relationships thereby shedding new light microbiota-mediated prevention
Language: Английский
Citations
19
Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 353, P. 38 - 47
Published: Feb. 27, 2024
Language: Английский
Citations
8
Skin Research and Technology, Journal Year: 2024, Volume and Issue: 30(3)
Published: Feb. 29, 2024
Abstract Background A growing number of experimental studies have shown an association between the gut microbiota (GM) and facial skin aging. However, causal relationship GM aging remains unclear to date. Methods We conducted a two‐sample Mendelian randomization (MR) analysis investigate potential MR was mainly performed using inverse‐variance weighting (IVW) method, complemented by weighted median (MW) MR‐Egger regression, mode, sensitivity used test reliability results. Results Eleven taxa associated with were identified IVW method analysis, Family Victivallaceae ( p = 0.010), Genus Eubacterium coprostanoligenes group 0.038), Parasutterella 0.011) negatively aging, while Phylum Verrucomicrobia 0.034), Lactobacillaceae 0.017) its subgroups Lactobacillus Parabacteroides 0.040), Eggerthella 0.049), XIII UCG001 0.036), Phascolarctobacterium 0.027), Ruminococcaceae UCG005 0.012) positively At Class Order levels, we did not find analyses show evidence pleiotropy heterogeneity. Conclusion Our findings confirm providing new perspective on delaying
Language: Английский
Citations
8
International Journal of Surgery, Journal Year: 2024, Volume and Issue: unknown
Published: May 13, 2024
Background: In recent years, the widespread use of lipid-lowering drugs, especially statins, has attracted people’s attention. Statin may be potentially associated with a reduced risk breast cancer. Objective: To explore relationship between statin and cancer risk. And further potential role statins in adjuvant treatment Methods: Data for Mendelian randomization portion study were obtained from genome-wide association studies common cancers UK Biobank FinnGen Global Lipid Genetics Consortium’s low density lipoprotein (LDL). addition, impacts chemotherapy drugs on examined using both vitro vivo models, particular attention to expression levels immune checkpoint protein PD-L1 its suppress tumor growth. Results: about 3.8 million patients approximately 1.3 LDL-measuring individuals analyzed. Genetically proxied HMGCR inhibition (statins) was reduction ( P = 0.0005). experiments showed that lovastatin significantly inhibited paclitaxel-induced assisted paclitaxel suppressing cell Furthermore, combination therapy involving amplified CD8 + T-cell infiltration, bolstering their tumor-killing capacity enhancing efficacy. Conclusion: The utilization is correlated improved prognoses play facilitating transition cold hot tumors. Combination enhances activity leads better prognostic characteristics.
Language: Английский
Citations
6
Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14
Published: July 24, 2023
Increasing evidence from observational studies and clinical experimentation has indicated a link between the gut microbiotas (GMs) polycystic ovary syndrome (PCOS), however, causality direction of microbiome PCOS remains to be established. We conducted comprehensive search four databases-PubMed, Cochrane Library, Web Science, Embase up until June 1, 2023, subjected results meta-analysis. In this study, bidirectional two-sample Mendelian randomization (MR) analysis was employed investigate impact microbiota on (PCOS). The genome-wide association study (GWAS) data for comprised 113,238 samples, while GWAS were derived MiBioGen consortium, encompassing total sample size 18,340 individuals. As largest dataset its kind, represents most meta-analysis concerning composition date. Single nucleotide polymorphisms (SNPs) selected as instrumental variables at various taxonomic levels, including Phylum, Class, Order, Family, Genus. causal associations exposures outcomes assessed using established MR methods. To correct multiple testing, false discovery rate (FDR) method applied. reliability potential biases evaluated through sensitivity F-statistics. incorporated 20 that met criteria, revealing close specific species. per our analysis, we identified six At genus level, Actinomyces (ORIVW = 1.369, FDR 0.040), Streptococcus 1.548, 0.027), Ruminococcaceae UCG-005 1.488, 0.028) risk factors PCOS. Conversely, Candidatus Soleaferrea 0.723, Dorea 0.580, 0.032), UCG-011 0.732, 0.030) found protective against Furthermore, MR-PRESSO global test MR-Egger regression not affected by horizontal pleiotropy (p > 0.05). Finally, leave-one-out corroborated robustness findings. Both indicates there is relationship PCOS, which may contribute providing novel insights development new preventive therapeutic strategies
Language: Английский
Citations
15
Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14
Published: Oct. 19, 2023
Nutrient production by intestinal microbiota corresponds to regulate appetite while gut microbial composition was influenced diet ingestion. However, the causal relationship between taxa and anorexia nervosa (AN) remains unclear. Mendelian Randomization (MR) is a novel research method that effectively eliminates interference of confounding factors allows for exploration direct effects exposure outcome. This study employs MR explore effect AN specific microbiome. Large-scale Genome Wide Association Study (GWAS) data 211 microbes were obtained from IEU open GWAS project Mibiogen Consortium. Two-sample performed determine AN. Furthermore, bi-directional analysis examine direction relations. The Bonferroni correction test used adjust potential correlations among taxa. In forward analysis, 10specific have an impact on occurrence (the p value IVW <0.05). high abundance Genus Eubacteriumnodatumgroup ID: 11297 (OR:0.78, 95% CI:0.62-0.98, = 0.035) Class Melainabacteria 1589 (OR:0.72, CI:0.51-0.99, 0.045) may be considered protective But after correction, only Actinobacteria ID:419 (OR:1.53, CI:1.19-1.96, 0.00089) remained significantly associated as risk factor reverse influences 8 with none-statistically significant associations adjustment. We identified correlation 18 which not been previously reported. Among them, 10 kinds bacteria affect AN, status would bacteria. After continued exert influence
Language: Английский
Citations
12
Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 14
Published: Jan. 11, 2024
Background Delirium significantly contributes to both mortality and morbidity among hospitalized older adults. Furthermore, delirium leads escalated healthcare expenditures, extended hospital stays, enduring cognitive deterioration, all of which are acknowledged detrimental outcomes. Nonetheless, the current strategies for predicting managing remain constrained. Our aim was employ Mendelian randomization (MR) investigate potential causal relationship between metabolites delirium, as well identify therapeutic targets. Methods We identified 129 distinct blood from three genome-wide association studies (GWASs) conducted on metabolome, involving a total 147,827 participants European descent. Genetic information pertaining sourced ninth iteration Finngen Biobank, encompassing 359,699 individuals Finnish ancestry. MR analyses evaluate connections delirium. Additionally, we our analysis encompass entire phenome using MR, aiming uncover on-target consequences resulting metabolite interventions. Results In investigation, discovered serving mediators in context delirium: clinical low density lipoprotein cholesterol (LDL-C) (odds ratio [OR]: 1.47, 95% confidence interval [CI]: 1.25-1.73, p = 3.92 x 10 -6 ), sphingomyelin (OR: CI: 1.25-1.74, 5.97 X-11593–O-methylascorbate 0.21, 0.10-0.43, 1.86 -5 ). utilizing phenome-wide analysis, discerned that LDL-C, sphingomyelin, O-methylascorbate not only mediate susceptibility but also impact risk diverse ailments. Limitations (1) Limited representation complete (2) reliance PheCode system based diagnoses may underrepresent conditions with infrequent admissions, (3) limited Conclusion The genetic prediction heightened levels seems correspond diminished contrast elevated LDL-C an amplified risk. A comprehensive side-effect profiles has been undertaken facilitate prioritization drug Notably, emerges potentially auspicious target mitigating treating offering advantage lacking predicted adverse side effects.
Language: Английский
Citations
4
Diabetology & Metabolic Syndrome, Journal Year: 2024, Volume and Issue: 16(1)
Published: March 13, 2024
Abstract Background This study aimed to reveal the association between gut microbiota (GM) and six diabetic complications: hypoglycemia; ketoacidosis; nephropathy; neuropathy; retinopathy; Charcot’s foot. Methods GM data were obtained from MiBioGen consortium Dutch Microbiome Project while on complications FinnGen consortium. Two-sample Mendelian randomization (TSMR) was performed explore common complications. Inverse MR analysis conducted examine effect of identified GM. Sensitivity tests validate stability results. Finally, multivariate (MVMR) determine whether had a direct influence Results After multiple corrections, inverse variance weighted (IVW) results predicted 61 suggestive markers In particular, IVW revealed that Bacteroidia class Bacteroidales order positively associated with hypoglycemia Verrucomicrobiae Verrucomicrobiales nephropathy. Based replication analysis, these be stable. MVMR showed remained stable after accounting for traditional risk factors. Conclusion Extensive causal associations found complications, which may provide new insights into mechanisms microbiome-mediated diabetes.
Language: Английский
Citations
4