You Jia Jia, Qiu Jun, Li Gui Nan, Peng Xiao Ming, Ma Ye, Zhou Chang Ci, Fang Si Wei, Huang Rui Wen, Xiao Zheng Hui
Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
Academy of Pediatrics, Hengyang Medical School, University of South China, Hengyang, China.
Front Microbiol. 2023 Mar 16;14:1122172. doi: 10.3389/fmicb.2023.1122172. eCollection 2023.
Neonatal jaundice is a common clinical disease in neonates. Pathologic jaundice is more harmful to neonates. There are a few studies on the biomarkers of pathologic jaundice and the correlation between gut microbiota and clinical indices. Therefore, we aimed to reveal the characteristics of gut microbiota in pathologic jaundice, provide potential biomarkers for the diagnosis of pathologic jaundice, and find the correlation between gut microbiota and clinical indices.
Fourteen neonates with physiologic jaundice were recruited into a control group (Group A). Additionally, 14 neonates with pathologic jaundice were recruited into a case group (Group B). The microbial communities were analyzed using 16S rDNA sequencing. LEfSe and the differences in the relative abundance of gut microbiota were used to identify different bacteria among the two groups. The ROC curve was used to assess effective biomarkers for pathologic jaundice. Spearman's rank-sum correlation coefficient was used to evaluate the correlation between gut microbiota and clinical indices.
There were no differences in the total richness or diversity of gut microbiota between the two groups. At the phylum and genus levels, compared with the control group, ( = 0.002) and ( = 0.01) were significantly higher, while ( = 0.003) and ( = 0.016) were significantly lower in the case group. were valuable in differentiating pathologic jaundice from physiologic jaundice by the ROC curve, and the area under the ROC curve (AUC) value was 0.839 [95%CI (0.648-0.995)]. In the case group, were negatively associated with total bilirubin (TBIL) ( < 0.05). In the control group, were positively associated with TBIL ( < 0.05).
could be used as biomarkers to identify pathologic jaundice and are positively associated with bilirubin levels.
新生儿黄疸是新生儿期常见的临床疾病。病理性黄疸对新生儿危害更大。目前关于病理性黄疸生物标志物以及肠道微生物群与临床指标之间相关性的研究较少。因此，我们旨在揭示病理性黄疸患儿肠道微生物群的特征，为病理性黄疸的诊断提供潜在生物标志物，并探究肠道微生物群与临床指标之间的相关性。
选取14例生理性黄疸新生儿作为对照组（A组）。另外，选取14例病理性黄疸新生儿作为病例组（B组）。采用16S rDNA测序分析微生物群落。利用线性判别分析效应大小（LEfSe）和肠道微生物群相对丰度差异来识别两组间不同的细菌。采用ROC曲线评估病理性黄疸的有效生物标志物。采用Spearman秩和相关系数评估肠道微生物群与临床指标之间的相关性。
两组肠道微生物群的总丰富度或多样性无差异。在门和属水平上，与对照组相比，病例组中[具体细菌名称1]（P = 0.002）和[具体细菌名称2]（P = 0.01）显著升高，而[具体细菌名称3]（P = 0.003）和[具体细菌名称4]（P = 0.016）显著降低。通过ROC曲线分析，[具体细菌名称1]和[具体细菌名称2]在区分病理性黄疸和生理性黄疸方面具有价值，ROC曲线下面积（AUC）值为0.839 [95%可信区间（0.648 - 0.995）]。在病例组中，[具体细菌名称3]和[具体细菌名称4]与总胆红素（TBIL）呈负相关（P < 0.05）。在对照组中，[具体细菌名称1]和[具体细菌名称2]与TBIL呈正相关（P < 0.05）。
[具体细菌名称1]和[具体细菌名称2]可作为识别病理性黄疸的生物标志物，且与胆红素水平呈正相关。
