Evidence map›Paper›PMID 40988585›Full record

SynthesisNeurodegenerative disease management2026

N-acetylcysteine for Parkinson's disease: a translational systematic review of mechanistic and early clinical data.

Anas Mohammad, Mohammad Ibrahim, Moeez Akram, Hadia Mohsin, Muhammad Taaib Imran, Hassam Nasir Khan Alizai

Abstract readSystematic Review
In one paragraph

Synthesis in Neurodegenerative disease management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Anas MohammadDepartment of Medicine, Sargodha Medical College, Sargodha, Pakistan.ORCID 0009-0003-7658-0769
Mohammad IbrahimDepartment of Psychiatry, Shaikh Zayed Hospital, Lahore, Pakistan.
Moeez AkramDepartment of Medicine, Jinnah Hospital Lahore, Punjab, Pakistan.
Hadia MohsinDepartment of Medicine, Allama Iqbal Medical College, Lahore, Pakistan.
Muhammad Taaib ImranDepartment of Medicine, Sargodha Medical College, Sargodha, Pakistan.
Hassam Nasir Khan AlizaiDepartment of Psychiatry, Shaikh Khalifa Bin Zayed Al Nahyan Medical and Dental College, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) involves progressive motor and non-motor decline, linked to oxidative stress and glutathione depletion. N-acetylcysteine (NAC), a glutathione precursor and antioxidant, is a potential disease-modifying therapy.

objectiveTo evaluate preclinical and clinical evidence on NAC in PD, focusing on motor and non-motor outcomes, dopaminergic function, and oxidative stress biomarkers.

methodsA PRISMA-compliant review of MEDLINE and Embase (May 2025) identified prospective studies in animal models or adults with PD. Outcomes included Unified Parkinson's Disease Rating Scale (UPDRS), dopamine transporter (DAT) imaging, glutathione levels, and safety.

resultsTwelve studies met criteria. Preclinical models showed consistent neuroprotection. Intravenous NAC raised brain glutathione levels; high-dose oral NAC reached CSF. Two open-label trials (

conclusionsLarger randomized controlled trials are needed to test efficacy and disease-modifying potential.

Indexed as

AcetylcysteineAntioxidantsNeuroprotective AgentsParkinson DiseaseAnimalsHumansOxidative StressAcetylcysteineAntioxidantsNeuroprotective AgentsglutathioneN-acetylcysteineneuroprotectionoxidative stressParkinson’s diseasesystematic review

Identifiers

PMID40988585
PMCPMC13596904

What Socratic 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 Socratic graph.