Evidence map›Paper›PMID 42042751›Full record

ReviewNeurology international2026

Alpha-Lipoic Acid and Biotin in Neurodegenerative Diseases: Convergent Mechanistic Insights from Preclinical Models to Clinical Perspectives.

Asdrubal Aguilera-Méndez, Karel Aguilera-Manuel, Alfredo Saavedra-Molina, Patricia Ríos-Chávez, Santiago Villafaña, Renato Nieto-Aguilar, Daniel Godínez-Hernández, Daniel Ortega-Cuellar, Zoraya Palomera-Sanchez, Marcia Gauthereau-Torres

Abstract readReview
In one paragraph

Review in Neurology international, 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

10 authors.

Asdrubal Aguilera-MéndezInstitute of Chemical-Biological Research, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico.ORCID 0000-0003-0326-2068
Karel Aguilera-ManuelFaculty of Medicine and Biological Sciences, "Dr. Ignacio Chávez", Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58020, Mexico.
Alfredo Saavedra-MolinaInstitute of Chemical-Biological Research, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico.ORCID 0000-0002-0811-2950
Patricia Ríos-ChávezFaculty of Biology, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico.
Santiago VillafañaGraduate Studies and Research Section, Higher School of Medicine, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0000-0002-8660-7393
Renato Nieto-AguilarDivision of Graduate Studies and Research, Faculty of Dentistry, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58337, Mexico.ORCID 0000-0002-4009-1942
Daniel Godínez-HernándezInstitute of Chemical-Biological Research, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico.ORCID 0000-0001-8789-8789
Daniel Ortega-CuellarExperimental Nutrition Laboratory, National Institute of Pediatrics, Ministry of Health, Mexico City 04530, Mexico.
Zoraya Palomera-SanchezFaculty of Veterinary Medicine and Animal Science, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58130, Mexico.ORCID 0000-0003-2357-814X
Marcia Gauthereau-TorresDivision of Graduate Studies, Faculty of Medicine and Biological Sciences, "Dr. Ignacio Chávez", Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58020, Mexico.ORCID 0000-0002-2431-0471

Funding

CIC-UMSNH CIC-19443
6 · The paper itself

Abstract

backgroundNeurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, multiple sclerosis, and amyotrophic lateral sclerosis, represent a major global health burden and share convergent pathogenic mechanisms, such as mitochondrial dysfunction, oxidative stress, neuroinflammation, calcium imbalance, and neuronal loss. Despite advances in symptomatic management, effective disease-modifying therapies remain limited.

objectivesThis review aims to critically synthesize mechanistic, preclinical, and clinical evidence on α-lipoic acid and biotin as candidate neuroprotective agents in neurodegenerative diseases, with emphasis on shared signaling pathways, therapeutic potential, generally favorable safety profiles, and translational limitations.

methodsA narrative and integrative review was conducted, encompassing mechanistic studies, preclinical experimental models, and clinical trials and observational studies evaluating ALA and biotin in neurodegenerative diseases. The evidence was qualitatively analyzed with attention to biological plausibility, consistency across models, and clinical relevance.

resultsALA and biotin modulate key cellular pathways implicated in neurodegeneration, including mitochondrial metabolism, redox homeostasis, inflammatory signaling, and neurovascular function. Preclinical studies consistently report beneficial effects on mitochondrial efficiency, oxidative stress, and neuroinflammatory markers. In contrast, clinical evidence remains heterogeneous, with more extensive evaluation of biotin in progressive multiple sclerosis and more limited or exploratory findings for ALA across neurodegenerative disorders.

conclusionsALA and biotin exhibit mechanistic convergence across pathways relevant to neurodegeneration and generally favorable safety profiles. Although current evidence supports their biological plausibility as adjunctive or exploratory therapeutic strategies, clinical outcomes remain inconsistent and appear to be influenced by dosing regimens, disease stage at intervention, and endpoint selection. Well-designed clinical studies are required to define their efficacy, optimal dosing, and disease-specific applicability.

Indexed as

biotinneurodegenerative diseaseα-lipoic acid

Identifiers

PMID42042751
PMCPMC13118431

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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.