Nearly half of pregnant women (PW) will suffer adverse pregnancy outcomes, with preterm birth (PTB) one of the top priorities. Many PTB-related risk factors have been identified, but effective and intervenable factors are limited. Infection and inflammation is presumed to be linked etiologicallly to PTB, which implies that micobes play an important role in the incidence of PTB. In this study, a hospital-based maternal-and-infant pregnant PW cohort, focusing mainly on microbiota study, will be set up and followed up until the time of delivery. Demographic data and oral, vaginal, intestinal and blood biospecimens and their serials at baseline, the 1st, 2nd, 3rd trisemisters and the delivery will be collected. Through a nested case-control study, an 16S rRNA technology will be used to detect the microbiotas in vaginal biospecimens and its relationship with spontaneous PTB (SPTB). The following results will be expected to obtain: microbiol characteristics (structure, diversity, abundance and its time dynamic) among Chinese healthy PWs; key SPTB-specific microbes; a clinical indexes-based system in predicting SPTB incidence, diagnosis and outcome; the relationship between key microbiota and clinical indexes. The cohort, established together with usings SPTB as an example for studying its microbiol etiology, will be helpful in clarifying the relationship between microbiota and other pregnancy outcomes, and produce important suggestions for maternal and child health.
近半数的孕妇可伴发各种类型的不良妊娠结局,早产是其中最为重要的一种。虽然识别了较多的与早产相关的危险因素,但有效的、可干预的因素相当有限,难以形成有效的防控策略。感染和炎症影响早产的发生,提示着微生物在其中的重要作用。本研究建设以微生物组为主、医院为基础的母婴队列,进行基线、孕早中晚期直至分娩时的调查和随访,采集主要体位(口腔、阴道、肠道)和血液及系列样本;通过巢式病例对照研究结合16S rRNA技术,探讨阴道微生物组与自发性早产的关系,识别早产的关键微生物群,建立适合于临床诊治的检测指标体系,提出可能的代谢通路。预期获得:我国健康孕妇的微生物组(结构、多样性、丰度等)及其时间动态特征,识别影响自发性早产的关键微生物群及合适的临床指标诊治体系,建立临床指标与关键微生物群的关系。本研究所建设的队列及以早产为例的研究,对后续研究微生物组与其他重要妊娠结局的关系、促进母婴健康具有重要意义。
背景:全球每年约出生1500万早产儿,各国早产儿数几乎均呈现增长趋势。早产严重威胁着新生儿健康,是5岁以下儿童死亡的首要病因。早产以自发性早产(Spontaneous preterm birth,sPTB)为主,其病因未明且缺乏有效的危险因素或临床指征。基于病例队列设计方法,本研究从微生物组的视角,探讨孕早/中期阴道微生物组(Vaginal microbiome,VMB)特征与sPTB间的关系。.结果:本项目完成建设孕妇队列,共招募孕妇2232例,根据纳入排除标准以及微生物测序数据的完整性,最终获得自发性早产41例,亚队列359例,其中8例在两组中重复出现。VMB按主导菌群可将VMB分为:CST- I、CST-II、CST-III、CST-IV 四种阴道群落类型,其中CST-III又细分CST- IIIa和 CST-IIIb。.在连续性表型中,穆氏乳杆菌的相对丰度(aCoef = -1.80;95% CI:-2.79,-0.81)与sPTB发生呈负相关。以CST-Ⅰ为参考,CST-Ⅱ(aHR = 4.35;95% CI:1.01,18.67)、CST-Ⅲb(aHR = 2.84;95% CI:1.01,7.94)增加sPTB的发生风险。在二分类表型中,阴道(副)加氏乳杆菌(aHR = 2.57;95% CI:1.11,5.95),链球菌属(aHR = 3.26;95 % CI:1.46,7.29),或变形菌门的存在(aHR = 2.87;95% CI:1.35,6.10)增加sPTB发生风险。阴道存在(副)加氏乳杆菌 (aHR = 2.57;95% CI:1.11,5.95),链球菌属(aHR = 3.26;95% CI:1.46,7.29),或变形菌门(aHR = 2.87;95% CI:1.35,6.10)的存在增加sPTB发生风险。上述结果在晚发型sPTB得到印证。.结论:不同乳杆菌在sPTB发展中扮演不同角色,穆氏乳杆菌的相对丰度升高可能降低sPTB发生风险;然而孕妇阴道存在(副)加氏乳杆菌、CST-IIIb型VMB增加sPTB发生风险,尤其是晚发型sPTB。对非乳杆菌来说,链球菌属或变形菌门的存在同样增加sPTB发生风险。
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数据更新时间:2023-05-31
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