Evidence map›Paper›PMID 41326335›Full record

ArticleTranslational psychiatry2025

Computational biological analysis reveals that HIF-1 and FoxO signaling pathways influence cognitive impairment in patients with depression.

Chuanjun Zhuo, Ying Zhang, Qiuyu Zhang, Lei Yang, Ximing Chen, Xiaoyan Ma, Ranli Li, Lina Wang, Hongjun Tian, Fuqiang Mao

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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  5. 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

10 authors.

Chuanjun Zhuo *Laboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China. zhuochuanjun@tmu.edu.cn.ORCID http://orcid.org/0000-0002-3793-550X
Ying Zhang *Laboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Qiuyu ZhangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.ORCID http://orcid.org/0009-0000-2794-6777
Lei YangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.ORCID http://orcid.org/0000-0002-9466-3344
Ximing ChenLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.ORCID http://orcid.org/0009-0000-8349-1551
Xiaoyan MaLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Ranli LiLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Lina WangLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.
Hongjun TianLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.ORCID http://orcid.org/0009-0006-2438-6798
Fuqiang MaoLaboratory of Computational Biology and Computational Psychiatry (CBCP-Lab), Tianjin Anding Hospital, Nankai University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin, 300222, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive impairment, a common symptom in patients with depression, significantly affects social functioning. Currently, no recognized treatment exists for depression-related cognitive dysfunction. The study aimed to use computational biology methods to investigate the potential molecular mechanisms underlying cognitive impairment in depression and identify potential antidepressants that may mitigate this impairment. Targets associated with depression and cognitive impairment were obtained from GeneCards and OMIM. Overlapping disease targets were integrated to generate a PPI network, and hub targets were identified using network topology metrics. KEGG pathway enrichment analyses were conducted using the DAVID database. Finally, core targets enriched in key signaling pathways were virtually screened for interactions with antidepressants. Of the 1621 overlapping targets identified, 46 key targets were selected based on topological parameters in Cytoscape software of a KEGG enrichment analysis. The analysis revealed that the HIF-1 and FoxO signaling pathways may contribute to depression-induced cognitive impairment via 13 target genes. Virtual screening of these 13 core targets against various antidepressants identified mosapramine as having strong binding affinity to the core targets, including AKT3, EGFR, IL6, INS, MAPK1, MAPK3, and PIK3R1, with docking scores of -7.6 to -12.9 kcal/mol. Based on our results, the HIF-1 and FoxO signaling pathways may influence cognitive impairment through multiple targets, and mosapramine may alleviate cognitive impairment in patients with depression via these targets and pathways. These findings provide a foundation for the modification and optimization of antidepressant drugs to improve the treatment of cognitive impairment in patients with depression.

Indexed as

Cognitive DysfunctionDepressionHypoxia-Inducible Factor 1, alpha SubunitSignal TransductionAntidepressive AgentsComputational BiologyHumansProtein Interaction MapsAntidepressive AgentsHIF1A protein, humanHypoxia-Inducible Factor 1, alpha Subunit

Identifiers

PMID41326335
PMCPMC12673102

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.