Evidence map›Paper›PMID 40810238›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

Identification of characteristic genes ofanddeficiency constitutions: an integrated analysis based on bioinformatics and machine learning.

Long Xi, W U Zixuan, Y U Yunfeng, Lin Jie, Peng Qinghua

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 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

5 authors.

Long XiDepartment of Graduate School, Hunan University of Chinese Medicine, Changsha 410208, China.
W U ZixuanDepartment of Graduate School, Hunan University of Chinese Medicine, Changsha 410208, China.
Y U YunfengDepartment of Graduate School, Hunan University of Chinese Medicine, Changsha 410208, China.
Lin JieDepartment of Obstetrics and Gynecology, The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, China.
Peng QinghuaDepartment of Chinese Medicine, Hunan University of Chinese Medicine, Changsha 410208, China.

Funding

2023 Hunan Provincial Department of Education Scientific Research Project: Yiguanjian Decoction Regulates Th17/Treg Cell Balance and Its Intervention Mechanism in Dry Eye with Liver Yin Deficiency Syndrome 23A0300National Natural Science Foundation of China: Establishment and Validation of a High-throughput Screening System for Traditional Chinese Medicine Against Dry Eye Disease based on transforming growth factor-βand B-cell lymphoma-2 81574031
6 · The paper itself

Abstract

objectiveTo utilize the Traditional Chinese Medicine constitution (TCMC) as a complementary and alternative approach for early disease detection and treatment, with a focus on

methodsThe dataset containing the data of

resultsThe GSE87474 dataset was used for DEGs analysis and WGCNA. Using machine learning analyses, we identified 15 and 14 hub genes for

conclusionsThis study identified C7orf60, CFL2, CYTIP, GPR183, HIAT1, KLHL15, MAPK6, and PTGS2 in

Indexed as

Computational BiologyMachine LearningYang DeficiencyYin DeficiencyGene Expression ProfilingGene Regulatory NetworksHumansMedicine, Chinese TraditionalMicroRNAsMicroRNAscharacteristic genesdeficiencymitogen-activated protein kinase 6Traditional Chinese Medicine constitution

Identifiers

PMID40810238
PMCPMC12340588

What OpenQuestion holds

Textmetadata
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.