当前位置: X-MOL 学术Front. Cell. Infect. Microbiol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Insight Into the Potential Value of Gut Microbial Signatures for Prediction of Gestational Anemia.
Frontiers in Cellular and Infection Microbiology ( IF 4.6 ) Pub Date : 2021-08-30 , DOI: 10.3389/fcimb.2021.734561
Hongcheng Wei 1, 2 , Siting Deng 1, 2 , Yufeng Qin 1, 2 , Xu Yang 1, 2 , Ting Chen 3 , Xu Wang 4 , Yankai Xia 1, 2
Affiliation  

The gut microbiota alternations are associated with gestational anemia (GA); however, limited predictive value for the subsequent incidence of anemia in normal gestational women has been obtained. We sought to rigorously characterise gut dysbiosis in subjects with GA and explored the potential predictive value of novel microbial signatures for the risk of developing GA. A prospective cohort of subjects with GA (n = 156) and healthy control (n = 402), all of whom were free of GA in the second trimester, by 16S rRNA gene sequencing was conducted. Microbial signatures altered dramatically in GA compared with healthy control in the second trimester. Megamonas, Veillonella, and Haemophilus were confirmed to show differential abundances in GA after adjusting for covariates. On the contrary, Lachnospiraceae and Blautia were enriched in control. Microbial co-abundance group (CAG) network was constructed. Prospectively, CAG network relatively accurately predicted upcoming GA in normal pregnant women with an AUC of 0.7738 (95%CI: 0.7171, 0.8306) and the performance was further validated in Validation set (0.8223, 95%CI: 0.7573, 0.8874). Overall, our study demonstrated that alterations in the gut microbial community were associated with anemia in pregnancy and microbial signatures could accurately predict the subsequent incidence of anemia in normal pregnant women. Our findings provided new insights into understanding the role of gut microbiota in GA, identifying high-risk individuals, and modulating gut microbiota as a therapeutic target, thus improving quality of life and well-being of women and children.

中文翻译:

洞察肠道微生物特征对预测妊娠性贫血的潜在价值。

肠道菌群的改变与妊娠贫血 (GA) 相关;然而,对于正常妊娠妇女随后发生贫血的预测价值有限。我们试图严格表征 GA 受试者的肠道菌群失调,并探索新型微生物特征对发展 GA 风险的潜在预测价值。通过 16S rRNA 基因测序,对患有 GA(n = 156)和健康对照(n = 402)的受试者进行了前瞻性队列研究,这些受试者在妊娠中期均未发生 GA。与孕中期的健康对照相比,GA 中的微生物特征发生了显着变化。在调整协变量后,巨单胞菌、韦永氏菌和嗜血杆菌被证实在 GA 中显示出不同的丰度。相反,毛螺菌科和 Blautia 的控制更为丰富。构建了微生物共丰度组(CAG)网络。前瞻性地,CAG 网络相对准确地预测了正常孕妇即将到来的 GA,其 AUC 为 0.7738(95%CI:0.7171、0.8306),并且性能在验证集(0.8223、95%CI:0.7573、0.8874)中得到了进一步验证。总体而言,我们的研究表明,肠道微生物群落的改变与妊娠期贫血有关,微生物特征可以准确预测正常孕妇随后的贫血发生率。我们的研究结果为理解肠道微生物群在 GA 中的作用、识别高危个体以及调节肠道微生物群作为治疗目标提供了新的见解,从而提高了妇女和儿童的生活质量和福祉。CAG 网络相对准确地预测了正常孕妇即将到来的 GA,其 AUC 为 0.7738(95%CI:0.7171、0.8306),并且在验证集(0.8223、95%CI:0.7573、0.8874)中进一步验证了性能。总体而言,我们的研究表明,肠道微生物群落的改变与妊娠期贫血有关,微生物特征可以准确预测正常孕妇随后的贫血发生率。我们的研究结果为了解肠道微生物群在 GA 中的作用、识别高危个体以及调节肠道微生物群作为治疗目标提供了新的见解,从而提高了妇女和儿童的生活质量和福祉。CAG 网络相对准确地预测了正常孕妇即将到来的 GA,其 AUC 为 0.7738(95%CI:0.7171、0.8306),并且在验证集(0.8223、95%CI:0.7573、0.8874)中进一步验证了性能。总体而言,我们的研究表明,肠道微生物群落的改变与妊娠期贫血有关,微生物特征可以准确预测正常孕妇随后的贫血发生率。我们的研究结果为理解肠道微生物群在 GA 中的作用、识别高危个体以及调节肠道微生物群作为治疗目标提供了新的见解,从而提高了妇女和儿童的生活质量和福祉。8306) 并且在验证集 (0.8223, 95% CI: 0.7573, 0.8874) 中进一步验证了性能。总体而言,我们的研究表明,肠道微生物群落的改变与妊娠期贫血有关,微生物特征可以准确预测正常孕妇随后的贫血发生率。我们的研究结果为了解肠道微生物群在 GA 中的作用、识别高危个体以及调节肠道微生物群作为治疗目标提供了新的见解,从而提高了妇女和儿童的生活质量和福祉。8306) 并且在验证集 (0.8223, 95% CI: 0.7573, 0.8874) 中进一步验证了性能。总体而言,我们的研究表明,肠道微生物群落的改变与妊娠期贫血有关,微生物特征可以准确预测正常孕妇随后的贫血发生率。我们的研究结果为了解肠道微生物群在 GA 中的作用、识别高危个体以及调节肠道微生物群作为治疗目标提供了新的见解,从而提高了妇女和儿童的生活质量和福祉。
更新日期:2021-08-30
down
wechat
bug