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Record W4407191091 · doi:10.1080/15548627.2025.2457915

Development and validation of a sensitive sandwich ELISA against human PINK1

2025· article· en· W4407191091 on OpenAlexfundno aff
Zahra Baninameh, Jens O. Watzlawik, Bernardo A. Bustillos, Gabriella Fiorino, Tingxiang Yan, Szymon L. Lewicki, Haonan Zhang, Dennis W. Dickson, Joanna Siuda, Zbigniew K. Wszołek, Wolfdieter Springer, Fabienne C. Fiesel

Bibliographic record

VenueAutophagy · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Institute on AgingInstitute of AgingNational Institutes of HealthCongressionally Directed Medical Research ProgramsMayo ClinicMichael J. Fox Foundation for Parkinson's ResearchU.S. Department of Defense
KeywordsBiologyPINK1Cell biologyAutophagyComputational biologyMitophagyGeneticsApoptosis

Abstract

fetched live from OpenAlex

The ubiquitin kinase and ligase PINK1 and PRKN together label damaged mitochondria for their elimination in lysosomes by selective autophagy (mitophagy). This cytoprotective quality control pathway is genetically linked to familial Parkinson disease but is also altered during aging and in other neurodegenerative disorders. However, the molecular mechanisms of these mitophagy changes remain uncertain. In healthy mitochondria, PINK1 protein is continuously imported, cleaved, and degraded, but swiftly accumulates on damaged mitochondria, where it triggers the activation of the mitophagy pathway by phosphorylating its substrates ubiquitin and PRKN. Levels of PINK1 protein can therefore be used as a proxy for mitochondrial damage and mitophagy initiation. However, validated methodologies to sensitively detect and quantify PINK1 protein are currently not available. Here, we describe the development and thorough validation of a novel immunoassay to measure human PINK1 on the Meso Scale Discovery platform. The final assay showed excellent linearity, parallelism, and sensitivity. Even in the absence of mitochondrial stress (i.e. at basal conditions), when PINK1 protein is usually not detectable by immunoblotting, significant differences were obtained when comparing samples from patient fibroblasts or differentiated neurons with and without PINK1 expression. Of note, PINK1 protein levels were found increased in human postmortem brain with normal aging, but not in brains with Alzheimer disease, suggesting that indeed different molecular mechanisms are at play. In summary, we have developed a novel sensitive PINK1 immunoassay that will complement other efforts to decipher the roles and biomarker potential of the PINK1-PRKN mitophagy pathway in the physiological and pathological context. Abbreviations: AD: Alzheimer disease; CCCP: carbonyl cyanide 3-chlorophenylhydrazone; ECL: electrochemiluminescence; ELISA: enzyme-linked immunosorbent assay; iPSC: induced pluripotent stem cell; KO: knockout; LLOQ: lower limit of quantification; MSD: Meso Scale Discovery; PD: Parkinson disease; p-S65-Ub: serine-65 phosphorylated ubiquitin; Ub: ubiquitin; ULOQ: upper limit of quantification; WT: wild-type.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.248
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2025
Admission routes1
Has abstractyes

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