
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15
Published: Feb. 7, 2024
Background Inflammatory cytokines have long been considered closely related to the development of oral lichen planus (OLP), and we further explored causal relationship between two by Mendelian randomization (MR) method. Methods We performed bidirectional MR analyses large genome-wide association studies (GWAS). The data included a large-scale OLP dataset, as well datasets 41 inflammatory cytokines. All were obtained from University Bristol database, which includes cytokines, GWAS Catalog 91 Finngen 6411 cases 405770 healthy controls. used inverse variance weighted (IVW) method, MR-Egger median simple mode method analyze OLP, also combined with sensitivity analysis verify robustness results. meta-analysis positive or potentially results for same genes confirm reliability final Results primarily IVW corrected using Benjamin Hochberg (BH) When p<0.00038 (0.05/132), are significantly causal; when 0.00038<p<0.05, causal. found total 7 significant potential associations (University database: 2, 5). In reverse analysis, that 30 associated 5, 25). After meta-analysis, finally determined there was 3 in forward most FGF21 (p=0.02954, odds ratio (OR): 1.113, 95% confidence interval (95%CI): 1.011-1.226). 14 causally PLAU (p=0.00002, OR: 0.951, 95%CI: 0.930-0.973). Conclusion There is some may play an important role pathogenesis require attention.
Language: Английский
Citations
5Health Science Reports, Journal Year: 2025, Volume and Issue: 8(3)
Published: March 1, 2025
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition with poorly understood etiology. Recent studies have suggested that metabolic dysregulation might be linked to the development of ASD; however, causal relationships remain unclear. This study aimed investigate association between these factors using two-sample Mendelian randomization (TSMR). We conducted TSMR analysis assess relationship blood metabolites and ASD summarized GWAS data. The metabolite dataset from Canadian Longitudinal Study Aging included 1091 309 ratios 7824 European individuals. data Psychiatric Genomics Consortium comprised 18,381 cases 27,969 controls. Blood were set as exposures outcome. primarily used inverse-variance weighted method, supplemented by MR-Egger, median, simple mode, mode methods. also sensitivity analyses confirm robustness. Replication, confounding, reserve performed verify causation. Additionally, pathway network pharmacology explore potential mechanisms. identified 55 known including 13 10 unknown associated ASD. our pathways, among which tryptophan metabolism was most notable (p = 0.0388). Gene Ontology functional Kyoto Encyclopedia Genes Genomes highlighted crucial such cellular glucuronidation, glucuronosyltransferase activity, bile secretion, significance apical part cell. Our findings indicate dodecenedioate, methionine sulfone, cysteine alanine ratio proline glutamate an impact on These results enhance understanding pathways involved in could lead new avenues for intervention prevention. Further research needed mechanisms underlying associations different populations.
Language: Английский
Citations
0Medicina, Journal Year: 2024, Volume and Issue: 60(9), P. 1479 - 1479
Published: Sept. 10, 2024
Background and Objectives: This study investigated whether there is an association between elderly frailty asthma. Material Methods: We examined 9745 participants who did not have asthma 275 patients had diagnosed by a doctor from the 2020 Survey of Living Conditions Welfare Needs Korean Older Persons Survey. Study Selections: The version fatigue, resistance, ambulation, illnesses, loss weight (K-FRAIL) scale was used to determine their level frailty. relationship geriatric using multiple logistic regression analysis, which adjusted for number confounding variables (socioeconomic, health behavior, psychological characteristics, functional status). Results: Frailty as defined K-FRAIL significantly higher in group (7.6%) than non-asthma (4.9%). phenotype component showed that illness severity were more severe group. After adjusting, associated with increased risk (OR 1.45; 95% confidence interval [CI] 1.01–2.09) compared Conclusions: might be population. may only asthma, but also other diseases. So, evidence needed establish this association.
Language: Английский
Citations
0Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 22, 2024
Language: Английский
Citations
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