Gut microbiota and gut-derived metabolites are altered and associated with dietary intake in women with polycystic ovary syndrome.

IF 3.8 3区 医学 Q1 REPRODUCTIVE BIOLOGY Journal of Ovarian Research Pub Date : 2024-11-22 DOI:10.1186/s13048-024-01550-w
Thaís Rasia da Silva, Lucas Bandeira Marchesan, Pabulo Henrique Rampelotto, Larisse Longo, Tiago Franco de Oliveira, Rikard Landberg, Vanessa de Mello, Poli Mara Spritzer
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Abstract

Background: Disturbances in the gut microbiota may act as mechanisms influencing the interplay between dietary factors and metabolic disorders. Studies have demonstrated that these alterations are associated with the diagnosis of polycystic ovary syndrome (PCOS). Within this context, we aimed to investigate associations between gut microbiota, gut-derived metabolites (short-chain fatty acids [SCFAs] and indole-3-propionic acid [IPA]), and dietary intake in women with PCOS.

Methods: We conducted a cross-sectional study of 24 women with PCOS, previously recruited for two studies at our research center, compared with 14 age-matched healthy controls. The mean (SD) age of all 38 participants was 33.3 (7.5) years, and the mean (SD) body mass index was 29.5 (4.8) kg/m2. Primary outcomes included gut microbiota analysis by sequencing the V4 region of the 16 S rRNA gene, serum IPA levels measured by liquid chromatography/triple-quadrupole mass spectrometry (LC-QqQ-MS), and fecal and plasma SCFA levels measured by LC-MS/MS.

Results: Gut microbiota diversity, composition, and metabolic pathways differed between the PCOS and control groups. A higher abundance of two operational taxonomic units specializing in complex carbohydrate metabolism was observed in healthy control women. The PCOS group exhibited a less favorable dietary intake than the control group, and a significant correlation was observed between gut microbiota composition and dietary glycemic load in PCOS (r = 0.314, P = 0.03 in Mantel test). Multivariable-adjusted linear regression models indicated that lower levels of IPA and higher circulating levels of two SCFAs (acetic acid and propionic acid) were independently associated with the diagnosis of PCOS.

Conclusions: Our data support the differentiation between women with PCOS and healthy controls based on gut microbiota analysis. Furthermore, changes in gut bacteria and their metabolites could be, at least in part, the biological mechanism by which a low glycemic load diet may potentially improve PCOS-related reproductive and cardiometabolic outcomes.

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多囊卵巢综合征妇女的肠道微生物群和肠道衍生代谢物发生改变,并与饮食摄入相关。
背景:肠道微生物群的紊乱可能是影响饮食因素与代谢紊乱之间相互作用的机制。研究表明,这些改变与多囊卵巢综合征(PCOS)的诊断有关。在此背景下,我们旨在研究多囊卵巢综合征女性患者的肠道微生物群、肠道衍生代谢物(短链脂肪酸 [SCFAs] 和吲哚-3-丙酸 [IPA])与饮食摄入量之间的关联:我们对 24 名患有多囊卵巢综合征的女性进行了横断面研究,这些女性曾在我们研究中心的两项研究中被招募,并与 14 名年龄匹配的健康对照组进行了比较。所有 38 名参与者的平均(标清)年龄为 33.3 (7.5) 岁,平均(标清)体重指数为 29.5 (4.8) kg/m2。主要研究结果包括通过对 16 S rRNA 基因 V4 区测序进行肠道微生物群分析、通过液相色谱/三重四极杆质谱(LC-QqQ-MS)测定血清中的 IPA 水平、通过 LC-MS/MS 测定粪便和血浆中的 SCFA 水平:结果:多囊卵巢综合征组和对照组的肠道微生物群多样性、组成和代谢途径存在差异。在健康对照组妇女中观察到,专门从事复杂碳水化合物代谢的两个操作分类单元的丰度较高。与对照组相比,多囊卵巢综合征组的膳食摄入量较低,而且在多囊卵巢综合征组中观察到肠道微生物群组成与膳食血糖负荷之间存在显著相关性(r = 0.314,Mantel 检验中 P = 0.03)。多变量调整线性回归模型表明,较低水平的IPA和较高水平的两种SCFAs(乙酸和丙酸)循环与多囊卵巢综合征的诊断独立相关:我们的数据支持根据肠道微生物群分析来区分多囊卵巢综合症妇女和健康对照组妇女。此外,肠道细菌及其代谢物的变化至少部分是低血糖负荷饮食可能改善多囊卵巢综合征相关生殖和心脏代谢结果的生物学机制。
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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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