Evidence map›Paper›PMID 41585697›Full record

ArticleACS omega2026

Folic Acid Targeting Shared Sepsis-Osteoporosis Pathogenesis: From Computational Discovery to Dynamic Binding Mechanisms.

Fanjian Meng, Tong Zhou, Xue Pan, Yun Yang, Yongkang Huang, Chen Chen, Yongjian Pei, Minhua Shi

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Fanjian MengDepartment of Orthopaedics, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, No. 39 Xiashatang Road, Mudu Town, Wuzhong District, Suzhou, Jiangsu 215101, China.
Tong ZhouDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Xue PanDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Yun YangDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Yongkang HuangDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Chen ChenDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Yongjian PeiDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.
Minhua ShiDepartment of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Soochow University, 1055 SanXiang Road, Gusu District, Suzhou, Jiangsu 215004, China.ORCID https://orcid.org/0000-0002-9853-6596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis and osteoporosis (OP) are two common diseases that have a significant impact on public health. This study aims to elucidate the common genetic factors and molecular mechanisms underlying the relationship between sepsis and osteoporosis and to explore novel treatment methods. We employed a comprehensive bioinformatics approach, utilizing gene expression data from multiple human databases. This approach included differential expression analysis, weighted gene coexpression network analysis (WGCNA), enrichment analysis, machine learning, immune infiltration analysis, and molecular docking and molecular dynamics simulations. Our study identified four key genes, CTSD, RNASE2, KYNU, and CX3CR1, that are associated with both sepsis and OP. Functional enrichment analysis revealed significant connections to immune processes and signaling pathways, including autophagy and the IL-17 signaling pathway. A nomogram constructed from these four genes demonstrated a strong diagnostic performance for OP, achieving an area under the curve (AUC) of 0.797 (95%CI: 0.712-0.882). Additionally, the validation data set for sepsis demonstrated an even higher AUC of 0.903 (95%CI: 0.825-0.980). Moreover, the immune infiltration analysis revealed significant correlations between these key genes and various immune cell types, suggesting that modulating the immune cell activity could be a potential therapeutic target. Furthermore, molecular docking studies identified folic acid as a promising therapeutic candidate for both sepsis and OP due to its strong binding affinity with the protein products of the four key genes. Molecular dynamics simulations further confirmed the stability of these binding interactions. This research offers important insights into the common genetic framework linking sepsis and osteoporosis. It integrates bioinformatics and molecular simulations to decipher the protective role of folic acid in sepsis and osteoporosis.

Identifiers

PMID41585697
PMCPMC12824742

What OpenQuestion 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 OpenQuestion graph.