Evidence map›Paper›PMID 40395233›Full record

ArticleFrontiers in medicine2025

Xian Luo, Zheng Hang Ge, Shan Luo, Bo Li, Xun Zhou, Yi Yang, Yong Jiang, Tao Tan, Ke Lin Wang

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

9 authors.

Xian LuoThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Zheng Hang GeThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Shan LuoThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Bo LiThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Xun ZhouThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Yi YangThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Yong JiangGuizhou Provincial Staff Hospital, Guiyang, Guizhou, China.
Tao TanThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.
Ke Lin WangThe Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous studies have demonstrated the significant efficacy of Methods: Data on COPD, along with the active ingredients and target genes of Zijinniu and Tiesaozhou, were utilized. By integrating the results of differential expression analysis and the target genes of these two plants, candidate genes were identified. Key genes were then confirmed through gene expression analysis in the GSE124180 and GSE42057 datasets. A nomogram was constructed based on these genes to assess COPD risk, followed by validation. Additionally, functional analysis, immune factor profiling, molecular docking, and reverse transcription-polymerase chain reaction (RT-qPCR) were performed. Results: HK2 and PTAFR emerged as critical genes for COPD treatment, exhibiting significantly elevated expression in COPD samples. RT-qPCR confirmed the significantly higher expression of HK2 ( Conclusion: HK2 and PTAFR were identified as crucial genes in COPD, providing a solid theoretical foundation for future treatment strategies.

Indexed as

active ingredientschronic obstructive pulmonary diseaseHK2network pharmacologyPTAFR

Identifiers

PMID40395233
PMCPMC12090870

What Socratic holds

Textmetadata
LicenceCC BY
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.