Dataset Information

Prediction of Gut Microbial Community Structure and Function in Polycystic Ovary Syndrome With High Low-Density Lipoprotein Cholesterol.

ABSTRACT: Gut microbiota has been proved to be involved in the occurrence and development of many diseases, such as type 2 diabetes, obesity, coronary heart disease, etcetera. It provides a new idea for the pathogenesis of polycystic ovary syndrome (PCOS). Our study showed that the gut microbial community of PCOS with high low-density lipoprotein cholesterol (LDLC) has a noticeable imbalance. Gut microbiota of PCOS patients was significantly changed compared with CON, and these changes were closely related to LDLC. Gut microbiota may affect the metabolic level of PCOS patients through multiple metabolic pathways, and lipid metabolism disorder may further aggravate the imbalance of gut microbiota. Actinomycetaceae, Enterobacteriaceae and Streptococcaceae had high accuracy in the diagnosis of PCOS and the differentiation of subgroups, suggesting that they may play an important role in the diagnosis and treatment of PCOS in the future. Also, the model we built showed good specificity and sensitivity for distinguishing PCOS from CON (including L_CON and L_PCOS, H_CON and H_PCOS). In conclusion, this is the first report on the gut microbiota of PCOS with high LDLC, suggesting that in the drug development or treatment of PCOS patients, the difference of gut microbiota in PCOS patients with different LDLC levels should be fully considered.

SUBMITTER: Zhu X

PROVIDER: S-EPMC8326754 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction of Gut Microbial Community Structure and Function in Polycystic Ovary Syndrome With High Low-Density Lipoprotein Cholesterol.

Zhu Xuping X Li Yanyu Y Jiang Yanmin Y Zhang Jisheng J Duan Ru R Liu Lin L Liu Chao C Xu Xiang X Yu Lu L Wang Qian Q Xiong Fan F Ni Chengming C Xu Lan L He Qing Q

Frontiers in cellular and infection microbiology 20210719

Gut microbiota has been proved to be involved in the occurrence and development of many diseases, such as type 2 diabetes, obesity, coronary heart disease, etcetera. It provides a new idea for the pathogenesis of polycystic ovary syndrome (PCOS). Our study showed that the gut microbial community of PCOS with high low-density lipoprotein cholesterol (LDLC) has a noticeable imbalance. Gut microbiota of PCOS patients was significantly changed compared with CON, and these changes were closely relate ...[more]

PMID: 34350129

Similar Datasets

Project description:Low-density lipoprotein cholesterol (LDL-C) is an important modifiable risk factor for atherosclerotic cardiovascular disease. It is unclear whether the percentage LDL-C lowering with pharmacotherapies differs on the basis of baseline LDL-C levels. To evaluate the association between baseline LDL-C levels and the percentage LDL-C reduction with a statin, ezetimibe, and a PCSK9 inhibitor. This secondary exploratory study analyzed data from 3 randomized placebo-controlled clinical trials (Aggrastat to Zocor-Thrombolysis in Myocardial Infarction 21 [A to Z-TIMI 21], Improved Reduction of Outcomes: Vytorin Efficacy International Trial [IMPROVE-IT], and Further Cardiovascular Outcomes Research With PCSK9 Inhibition in Subjects With Elevated Risk [FOURIER]) of lipid-lowering therapies (statin, ezetimibe, and a PCSK9 inhibitor) and included participants with atherosclerotic cardiovascular disease. Analyses took place form April to October 2020. In A to Z-TIMI 21, 1:1 randomization to simvastatin, 40 mg, daily for 30 days followed by 80 mg daily thereafter vs placebo for 4 months followed by simvastatin, 20 mg, daily thereafter. In IMPROVE-IT, 1:1 randomization to ezetimibe, 10 mg, daily plus simvastatin, 40 mg, daily vs placebo plus simvastatin, 40 mg, daily. In FOURIER, 1:1 randomization to evolocumab, 140 mg, every 2 weeks or 420 mg monthly vs matching placebo. The percentage LDL-C reduction at either 1 month (A to Z-TIMI 21, IMPROVE-IT) or 3 months (FOURIER) as a function of baseline LDL-C level. Data were modeled using a generalized linear regression model. A total of 3187 patients from A to Z-TIMI 21, 10 680 patients from IMPROVE-IT, and 25 847 patients from FOURIER were analyzed. There was a higher percentage reduction in LDL-C levels with evolocumab in patients with lower baseline LDL-C levels, ranging from 59.4% (95% CI, 59.1%-59.8%) in patients with a baseline LDL-C level of 130 mg/dL to 66.1% (95% CI, 65.6%-66.6%) in patients with a baseline LDL-C level of 70 mg/dL (P < .001). In contrast, across the same range of baseline LDL-C level, there was a more modest difference for simvastatin (44.6% [95% CI, 43.9%-45.2%] vs 47.8% [95% CI, 46.4%-49.2%]; P < .001) and minimal difference with ezetimibe (25.0% [95% CI, 23.3%-26.6%] vs 26.2% [95% CI, 24.2%-28.1%]; P = .007). The percentage LDL-C reduction with statins, ezetimibe, and PCSK9 inhibition is not attenuated in patients starting with lower baseline LDL-C levels and is 6.6% greater for PCSK9 inhibition. These data are encouraging for the use of intensive LDL-C-lowering therapy even for patients with lower LDL-C levels.

Project description:Background Conventional "low-density lipoprotein cholesterol (LDL-C)" assays measure cholesterol content in both low-density lipoprotein and lipoprotein(a) particles. To clarify the consequences of this methodological limitation for clinical care, our study aimed to compare associations of "LDL-C" and corrected LDL-C with risk of cardiovascular disease and to assess the impact of this correction on the classification of patients into guideline-recommended LDL-C categories. Methods and Results Lipoprotein(a) cholesterol content was estimated as 30% of lipoprotein(a) mass and subtracted from "LDL-C" to obtain corrected LDL-C values (LDL-Ccorr30). Hazard ratios for cardiovascular disease (defined as coronary heart disease, stroke, or coronary revascularization) were quantified by individual-patient-data meta-analysis of 5 statin landmark trials from the Lipoprotein(a) Studies Collaboration (18 043 patients; 5390 events; 4.7 years median follow-up). When comparing top versus bottom quartiles, the multivariable-adjusted hazard ratio for cardiovascular disease was significant for "LDL-C" (1.17; 95% CI, 1.05-1.31; P=0.005) but not for LDL-Ccorr30 (1.07; 95% CI, 0.93-1.22; P=0.362). In a routine laboratory database involving 531 144 patients, reclassification of patients across guideline-recommended LDL-C categories when using LDL-Ccorr30 was assessed. In "LDL-C" categories of 70 to <100, 100 to <130, 130 to <190, and ≥190 mg/dL, significant proportions (95% CI) of participants were reassigned to lower LDL-C categories when LDL-Ccorr30 was used: 30.2% (30.0%-30.4%), 35.1% (34.9%-35.4%), 32.9% (32.6%-33.1%), and 41.1% (40.0%-42.2%), respectively. Conclusions "LDL-C" was associated with incident cardiovascular disease only when lipoprotein(a) cholesterol content was included in its measurement. Refinement in techniques to accurately measure LDL-C, particularly in patients with elevated lipoprotein(a) levels, is warranted to assign risk to the responsible lipoproteins.

Dataset Information

Prediction of Gut Microbial Community Structure and Function in Polycystic Ovary Syndrome With High Low-Density Lipoprotein Cholesterol.

Publications

Prediction of Gut Microbial Community Structure and Function in Polycystic Ovary Syndrome With High Low-Density Lipoprotein Cholesterol.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets