Evidence map›Paper›PMID 41000417›Full record

ArticleFrontiers in genetics2025

Diphenyl pyridine intervention improves

Wei Duan, Qingfeng Zhu, Hai Ci, Jingang Zhang, Zhiwei Tian, Wanyu Li, Zhengfu Yang

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

7 authors.

Wei DuanClinical Laboratory, Shihezi University Affiliated Hospital of Traditional Chinese Medicine, Shihezi, Xinjiang, China.
Qingfeng ZhuContagious Diseases Department, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Hai CiDepartment of Burn and Plastic Surgery, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Jingang ZhangLaboratory Center, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Zhiwei TianLaboratory Center, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Wanyu LiRespiratory and Critical Care Medicine Department, First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China.
Zhengfu YangLaboratory Center, Shihezi University School of Medicine, Shihezi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pneumonia, induced by various bacteria or viruses, is a globally prevalent inflammatory disease that threatens the life of millions of people. Methods: In this study, we conducted the Results: We identified 2,225 up and 1,257 down DEGs between DP and SA samples, and found they were significantly enriched in immune and inflammatory response pathways, as well as angiogenesis and apoptosis pathways. At the same time, DP treatment also significantly altered the alternative splicing profile, including 3898 AS genes and 416 co-regulated genes with DEGs. Functional analysis of co-regulated genes demonstrated they were enriched in immune response, signal transduction, and apoptosis regulation pathways. Finally, we identified ten hub genes by protein-protein network analysis from DEGs, including CCNA2, TOP2A, CDK1, ESPL1, KIF2C, PBK, UHRF1, RACGAP1, PCLAF, and RAD51 that were totally repressed by DP treatment. Conclusion: In summary, our study demonstrated that DP treatment can profoundly modulate the immune and inflammatory response by regulating the transcriptome profile of peripheral blood monocytes (PBMCs). The identified hub genes by DP treatment are potential therapeutic targets for

Indexed as

DPhub genesimmune and inflammatory responsepneumoniaRNA-seq

Identifiers

PMID41000417
PMCPMC12457106

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Registered trials

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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 OpenQuestion graph.