Evidence map›Paper›PMID 40692949›Full record

ArticleFrontiers in medicine2025

Analysis of gene polymorphisms in patients with pulmonary infections based on next-generation sequencing technology and their prognostic predictive value.

Rui Zeng, Guang Wang, Feng Zhou

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rui ZengDepartment of Geriatric Medical Center Ward Two, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Guang WangDepartment of Blood Transfusion, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Feng ZhouDepartment of Blood Transfusion, The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary infections are a leading cause of morbidity and mortality worldwide, particularly among vulnerable populations such as children and the older adult. Gene polymorphisms play a critical role in disease susceptibility, progression, and prognosis, yet their specific contributions to pulmonary infections remain underexplored. This study utilized next-generation sequencing (NGS) technology to analyze gene polymorphisms in 200 patients with pulmonary infections and evaluate their prognostic value. Key findings include significant associations between polymorphisms in TLR4 (rs4986790), IL-10 (rs1800896), TNF-α (rs1800629), and MBL2 (rs1800450) with infection susceptibility, disease severity, and survival outcomes. Notably, carriers of the TLR4 rs4986790 mutation exhibited increased risk of severe infections and prolonged hospital stays, while IL-10 rs1800896 was linked to higher

Indexed as

gene polymorphismsnext-generation sequencingpersonalized treatmentprognosis predictionpulmonary infections

Identifiers

PMID40692949
PMCPMC12277342

What Socratic holds

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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.