Abstract:Objective To investigate the differences in gut microbiota abundance between neonates with pathological jaundice and healthy neonates, explore the correlation between gut microbiota and clinical indicators, and evaluate the diagnostic value of gut microbiota abundance in neonatal pathological jaundice.Methods Sixty neonates with pathological jaundice admitted to the Department of Neonatology at the Affiliated First Hospital of Ningbo University from September 2022 to June 2023 were included in the jaundice group, while eighty healthy neonates undergoing physical examination during the same period were selected as the control group. General data were collected from both groups, and venous blood was sampled for clinical testing. Fecal samples were collected, and high-throughput 16S rRNA gene sequencing was performed to analyze the RNA of gut microbiota. The α-diversity of gut microbiota was assessed using Chao, Shannon, and Simpson indices. The correlation between clinical indicators and gut microbiota dysbiosis in both healthy and jaundiced neonates was analyzed using Pearson correlation. The diagnostic value of gut microbiota abundance and clinical indicators for pathological jaundice was assessed using Receiver Operating Characteristic (ROC) curves.Results The jaundice group showed significantly higher levels of high-sensitivity C-reactive protein (hs-CRP), carboxyhemoglobin (CoHb), white blood cell count (WBC), hemoglobin concentration (HGB), hematocrit (HCT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyl transpeptidase (γGT), total bilirubin (TBIL), and direct bilirubin (DBIL) compared to the control group (P < 0.05). There were no statistically significant differences in red blood cell count (rBC), neutrophil count (NE), hemoglobin (Hb), platelet count (PLT), or plateletcrit (PCT) between the two groups (P > 0.05). The Shannon, Simpson, and Chao indices of gut microbiota did not differ significantly between the two groups (P > 0.05). The abundance of Clostridium and Citrobacter was higher in the jaundice group compared to the control group (P < 0.05). There were no significant differences in the abundance of Escherichia, Staphylococcus, Klebsiella, and Bifidobacterium between the two groups (P > 0.05). Pearson correlation analysis indicated a positive correlation between hs-CRP, CoHb, WBC, ALT, γGT, TBIL, DBIL, and Clostridium abundance in the pathological jaundice group (r = 0.280, 0.330, 0.375, 0.160, 0.229, 0.470, and 0.449, all P < 0.05), with no correlation found for HGB, HCT, and AST (r = 0.161, 0.091, and 0.074, all P > 0.05). Similarly, hs-CRP, CoHb, WBC, HGB, ALT, γGT, TBIL, and DBIL were positively correlated with Citrobacter abundance (r = 0.360, 0.394, 0.475, 0.246, 0.223, 0.256, 0.581, and 0.542, all P < 0.05), with no correlation for HCT and AST (r = 0.148 and 0.118, both P > 0.05). The ROC curve analysis revealed that combined diagnostic efficacy was the highest, with an area under the curve (AUC) of 0.959 (95% CI: 0.926, 0.992), sensitivity of 95.0% (95% CI: 0.861, 0.990), and specificity of 95.1% (95% CI: 0.877, 0.986).Conclusion The study demonstrates changes in gut microbiota abundance and diversity in neonates with pathological jaundice and their correlation with serum bilirubin levels. The abundance and diversity of gut microbiota may serve as biomarkers, offering significant value for the early diagnosis and treatment of pathological jaundice.