36 research outputs found

    Table_1_Causal relationship between gut microbiota and polycystic ovary syndrome: a literature review and Mendelian randomization study.xlsx

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    IntroductionNumerous studies have suggested an association between gut microbiota and polycystic ovarian syndrome (PCOS). However, the causal relationship between these two factors remains unclear.MethodsA review of observational studies was conducted to compare changes in gut microbiota between PCOS patients and controls. The analysis focused on four levels of classification, namely, phylum, family, genus, and species/genus subgroups. To further investigate the causal relationship, Mendelian randomization (MR) was employed using genome-wide association study (GWAS) data on gut microbiota from the MiBioGen consortium, as well as GWAS data from a large meta-analysis of PCOS. Additionally, a reverse MR was performed, and the results were verified through sensitivity analyses.ResultsThe present review included 18 observational studies that met the inclusion and exclusion criteria. The abundance of 64 gut microbiota taxa significantly differed between PCOS patients and controls. Using the MR method, eight bacteria were identified as causally associated with PCOS. The protective effects of the genus Sellimonas on PCOS remained significant after applying Bonferroni correction. No significant heterogeneity or horizontal pleiotropy was found in the instrumental variables (IVs). Reverse MR analyses did not reveal a significant causal effect of PCOS on gut microbiota.ConclusionThe differences in gut microbiota between PCOS patients and controls vary across observational studies. However, MR analyses identified specific gut microbiota taxa that are causally related to PCOS. Future studies should investigate the gut microbiota that showed significant results in the MR analyses, as well as the underlying mechanisms of this causal relationship and its potential clinical significance.</p

    Additional file 6: of Comparative proteomic analysis of okra (Abelmoschus esculentus L.) seedlings under salt stress

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    Figure S2. Real-time quantitative PCR validation of several selected Salt responsive genes. The data were analyzed by three independent repeats, and standard deviations were shown with error bars. Significant differences in expression level were indicated by “*”. (TIF 828 kb

    Results of the correlation analysis between DEGs and DAMs.

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    There were 50 of the former and 100 of the latter. Red represents a positive correlation and blue represents a negative correlation.</p

    GO (A) and KEGG (B) functional classifications of the annotated unigenes in celery.

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    The unigenes were distributed into three GO categories: biological process, cellular component and molecular function. The unigenes were divided into five KEGG groups: metabolism (a), genetic information processing (b), environmental information processing (c), cellular processes (d) and organismal systems (e).</p

    QC sample correlations and principal component analyses (PCAs) of 19 celery samples.

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    QC sample correlation in electrospray ionization positive (ESI+) (A) and negative (ESI−) modes (B). QC samples were used to determine the instrumental state before injection and to evaluate the stability of the system during the whole experiment. PCAs of the ESI+ (C) and ESI−(D) data.</p
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