Evidence map›Paper›PMID 30618616›Full record

ArticleFrontiers in molecular neuroscience2018

Dopamine Autoxidation Is Controlled by Acidic pH.

Nejc Umek, Blaž Geršak, Neli Vintar, Maja Šoštarič, Janez Mavri

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

55 citing papers in PubMed, 130 citations in OpenAlex.

  1. Article
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  6. Putamen dopamine synthesis, vesicular storage, and metabolism in Parkinson disease.medRxiv : the preprint server for health sciences · 2026
    Article
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  8. Preclinical Catecholaminergic Biomarkers of Central Lewy Body Diseases.Journal of clinical neurology (Seoul, Korea) · 2026
    Review
  9. Review
  10. Systemic elevation of gut derivedFrontiers in physiology · 2026
    Article
  11. Article
  12. Review
  13. Article
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  15. Article
  16. Article
  17. Article
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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

5 authors at 3 institutions in 1 country.

Nejc UmekDepartment of Anesthesiology and Surgical Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Blaž GeršakDepartment of Anesthesiology and Surgical Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Neli VintarDepartment of Anesthesiology and Surgical Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Maja ŠoštaričDepartment of Anesthesiology and Surgical Intensive Therapy, University Medical Centre Ljubljana, Ljubljana, Slovenia.
Janez MavriNational Institute of Chemistry, Ljubljana, Slovenia.
Ljubljana University Medical Centre · SIUniversity of Ljubljana · SINational Institute of Chemistry · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied the reaction mechanism of dopamine autoxidation using quantum chemical methods. Unlike other biogenic amines important in the central nervous system, dopamine and noradrenaline are capable of undergoing a non-enzymatic autoxidative reaction giving rise to a superoxide anion that further decomposes to reactive oxygen species. The reaction in question, which takes place in an aqueous solution, is as such not limited to the mitochondrial membrane where scavenging enzymes such as catalase and superoxide dismutase are located. With the experimental rate constant of 0.147 s

Indexed as

aminochromedopamineneurodegenerationoxidative stressParkinson diseasepHreactive oxygen species

Identifiers

PMID30618616
PMCPMC6305604
OpenAlexW2904201113

What OpenQuestion 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 OpenQuestion graph.