Evidence map›Paper›PMID 42882501›Full record

ArticleCells2026

Saccharopine and α-Aminoadipic Acid as Potential Biomarkers for Mitochondrial Stress in Neurons.

Anna-Katharina Ückert, Anja Land, Regina Pape, Mahshid Alimohammadi, Ivano Amelio, Marcel Leist

Abstract read
In one paragraph

Article in Cells, 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

6 authors.

Anna-Katharina ÜckertIn Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78457 Konstanz, Germany.ORCID 0009-0007-8696-7130
Anja LandIn Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78457 Konstanz, Germany.
Regina PapeIn Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78457 Konstanz, Germany.
Mahshid AlimohammadiIn Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78457 Konstanz, Germany.
Ivano AmelioSystems Toxicology, University of Konstanz, 78457 Konstanz, Germany.
Marcel LeistIn Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, University of Konstanz, 78457 Konstanz, Germany.ORCID 0000-0002-3778-8693

Funding

German Research Foundation DFG TRR353
6 · The paper itself

Abstract

Redox stress and subsequent metabolic reprogramming are well-known consequences of neuronal exposure to mitochondrial toxicants. Here, we investigated, using human neuronal cultures, how such changes are quantitatively reflected in the patterns of cellular and extracellular amino acids. We asked whether these alterations may yield a mechanistically anchored biomarker for the type of neurotoxicity resulting from the impairment of the respiratory chain. Using a targeted metabolomics approach, we quantified intra- and extracellular amino acid pools and their temporal dynamics. Data were obtained from differentiated LUHMES neurons exposed to the complex I inhibitors berberine, 1-methyl-4-phenylpyridinium (MPP

Indexed as

2-Aminoadipic AcidBiomarkersMitochondriaNeuronsStress, PhysiologicalAmino AcidsCells, CulturedHumansOxidative Stress2-Aminoadipic AcidAmino AcidsBiomarkers1-methyl-4-phenylpyridiniumaerugineamino acid analyzerberberinemetabolomicsMG-132mitochondrial respirationtebufenpyrad

Identifiers

PMID42882501
PMCPMC13664059

What OpenQuestion 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 OpenQuestion graph.