Evidence map›Paper›PMID 42352258›Full record

ReviewBiomolecules2026

Role of Microbial Toxins in Neurodegenerative Diseases: Insights and Future Perspectives.

Alka Ashok Singh, Fazlurrahman Khan, Minseok Song

Abstract readReview
In one paragraph

Review in Biomolecules, 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
–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

3 authors.

Alka Ashok SinghDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0003-4049-102X
Fazlurrahman KhanOcean and Fisheries Development International Cooperation Institute, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0002-4902-3188
Minseok SongDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neurodegenerative disorders, including Parkinson's, Alzheimer's, and multiple sclerosis, are significant global health issues characterized by escalating neuronal dysfunction and cognitive decline. Studies suggest that microbial toxins originating from fungi and bacteria may contribute to neurodegenerative processes by altering neuronal homeostasis in several ways. Toxins formerly associated with infectious diseases have now been associated with neuroinflammation, oxidative stress, and protein misfolding, all of which are common in neurodegenerative diseases. According to recent studies, microbial toxins generated by the gut microbiota may cross the blood-brain barrier and possibly contribute to neuroinflammatory cascades linked to the development of neurodegenerative diseases. The complex interplay of microbial metabolites, microbial responses, and mitochondrial dysfunction demonstrates the diverse character of neurodegenerative processes. This review delves into the current understanding of microbial toxins, which are produced by diverse bacteria and can have a direct or indirect impact on neuronal health via multiple signaling pathways. Understanding the signaling mechanisms of microbial and toxin-mediated neurodegenerative diseases could result in the development of effective alternative therapeutics for neurological disorders.

Indexed as

Bacterial ToxinsMycotoxinsNeurodegenerative DiseasesAnimalsHumansOxidative StressBacterial ToxinsMycotoxinsbacterial toxinsfungal toxinsmicrobial toxinsmycotoxinsneurodegenerative diseasesneurological disordersneurotoxicityoxidative stresstherapeutic strategies

Identifiers

PMID42352258
PMCPMC13297615

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.