Evidence map›Paper›PMID 40864790›Full record

ArticleCurrent issues in molecular biology2025

Convergent and Divergent Mitochondrial Pathways as Causal Drivers and Therapeutic Targets in Neurological Disorders.

Yanan Du, Sha-Sha Fan, Hao Wu, Junwen He, Yang He, Xiang-Yu Meng, Xuan Xu

Abstract read
In one paragraph

Article in Current issues in molecular biology, 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.

Yanan DuSchool of Life Sciences, Anhui Medical University, Hefei 230032, China.
Sha-Sha FanHealth Science Center, Medical School, Hubei Minzu University, Enshi 445000, China.
Hao WuSchool of Life Sciences, Anhui Medical University, Hefei 230032, China.
Junwen HeCollege of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Yang HeCollege of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
Xiang-Yu MengHealth Science Center, Medical School, Hubei Minzu University, Enshi 445000, China.ORCID 0000-0001-5669-3502
Xuan XuSchool of Life Sciences, Anhui Medical University, Hefei 230032, China.ORCID 0009-0008-6525-7735

Funding

National Natural Science Foundation of China 82303057Natural Science Foundation of Hubei Province of China 2023AFB521the Research Fund for the Doctoral Program of Anhui Medical University 0801059201
6 · The paper itself

Abstract

Mitochondrial dysfunction is implicated across a spectrum of neurological diseases, yet its causal role and mechanistic specificity remain unclear. This study employed a multi-modal integrative analysis of mitochondrial gene expression in Alzheimer's Disease (AD), Amyotrophic Lateral Sclerosis (ALS), Multiple Sclerosis (MS), and Parkinson's Disease (PD) to address these gaps. We combined machine learning for predictive modeling with genetic causal inference methods (Mendelian Randomization, colocalization, PheWAS), followed by drug enrichment analysis and molecular docking. Our machine learning models, particularly Support Vector Machine and Multi-layer Perceptron, effectively classified these conditions, with MS exhibiting the highest predictability (mean Accuracy: 0.758). Causal inference analyses identified specific gene-disease links; for instance, genetically predicted increased expression of

Indexed as

Alzheimer’s diseasedrug repurposingmachine learningMendelian randomizationmitochondrianeurological diseases

Identifiers

PMID40864790
PMCPMC12384102

What OpenQuestion holds

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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.