Evidence map›Paper›PMID 41006466›Full record

ArticleScientific reports2025

Shared immune biomarkers in necrotizing enterocolitis and neonatal sepsis identified via bioinformatics and machine learning.

Qingmei Huang, Quanze Mai, Qiaozhen Wei, Ruishan Li, Lixue Qin, Qing Chen, Yujun Chen

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qingmei HuangDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Quanze MaiDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Qiaozhen WeiDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Ruishan LiDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Lixue QinDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Qing ChenDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China.
Yujun ChenDepartment of Pediatrics, The Second Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, 530007, Guangxi, China. chenyujun1006@163.com.

Funding

Natural Science Foundation of Guangxi Province, China 2024GXNSFBA010274The First Batch of Medical Young Reserve Talents Training Program of Guangxi, China 2025-2027
6 · The paper itself

Abstract

Necrotizing enterocolitis (NEC) and neonatal sepsis (NS) are major causes of morbidity and mortality in preterm infants, yet their shared molecular basis remains poorly defined. In this study, we integrated two public transcriptomic datasets and applied differential expression analysis, weighted gene co-expression network analysis (WGCNA), and three machine learning algorithms (LASSO, random forest, and XGBoost) to identify shared biomarkers. Four immune-related biomarkers (MAP2K6, CHKA, CA4, and ENTPD7) were identified and used to construct diagnostic models with high performance (AUC = 0.864 for NS; 1.000 for NEC). Immune infiltration analysis revealed distinct immune cell signatures and strong correlations with the selected biomarkers. Regulatory network construction further uncovered potential transcriptional and post-transcriptional regulatory mechanisms. These findings suggest a common immune-related pathogenesis underlying NEC and NS and highlight shared biomarkers with strong diagnostic potential. This integrative analysis provides a foundation for improved early diagnosis and targeted interventions in neonatal care.

Indexed as

BiomarkersComputational BiologyEnterocolitis, NecrotizingMachine LearningNeonatal SepsisGene Expression ProfilingGene Regulatory NetworksHumansInfant, NewbornInfant, PrematureTranscriptomeBiomarkersBiomarkersImmune cell infiltrationMachine learningNecrotizing enterocolitisNeonatal sepsis

Identifiers

PMID41006466
PMCPMC12474902

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.