Evidence map›Paper›PMID 42017139›Full record

ArticleFrontiers in genetics2026

Identification and functional analysis of NAD

Yanan Chu, Jinxiu Yang, Tianxin Ye, Fangcong Yu, Qian Wang, Jingming Zhuo

Abstract read
In one paragraph

Article in Frontiers in genetics, 2026. 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
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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

6 authors.

Yanan ChuDepartment of Geriatric Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, Shandong, China.
Jinxiu YangDepartment of Cardiology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Tianxin YeDepartment of Cardiology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Fangcong YuDepartment of Cardiology, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Qian WangDepartment of Geriatric Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, Shandong, China.
Jingming ZhuoDepartment of Geriatric Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary hypertension (PH) is a severe progressive disease characterised by elevated pulmonary vascular resistance and right ventricular hypertrophy. Increasing evidence has highlighted the vital role of nicotinamide adenine dinucleotide (NAD Methods: Using the Gene Expression Omnibus database and Limma R package, we identified differentially expressed genes (DEGs) of PH and downloaded NMRGs from Kyoto Encyclopedia of Genes and Genomes and Reactome databases. Candidate NMRGs were subsequently identified by overlapping DEGs, NMRGs, and module genes obtained by weighted gene co-expression network analysis. The diagnostic value of these candidate NMRGs was evaluated using receiver operator characteristic (ROC) curve analysis, and gene set enrichment analysis (GSEA) was performed to explore the functional roles of hub genes. CIBERSORT algorithm was employed to assess immune cell infiltration in the PH microenvironment. Finally, the functional role of target genes in PH was validated through Results: Through comprehensive bioinformatics analyses across multiple datasets, we identified two NMRGs: NT5E and CD38. ROC analysis confirmed the higher predictive accuracy of NT5E, with area under the ROC curve values reaching 0.891 and 0.894 in GSE113439 and GSE53408 datasets, respectively. GSEA revealed that patients with high NT5E expression exhibited significant enrichment of PH-related biological functions and pathways. Given the relationship between NAD Conclusion: Based on bioinformatics analysis and

Indexed as

GEOmachine learningNAD+NT5Epulmonary hypertensionWGCNA

Identifiers

PMID42017139
PMCPMC13095183

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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.