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Record W4366742757 · doi:10.1016/j.celrep.2023.112372

NAD depletion mediates cytotoxicity in human neurons with autophagy deficiency

2023· article· en· W4366742757 on OpenAlexaff
Congxin Sun, Elena Seranova, Malkiel A. Cohen, Miruna Chipara, Jennie Roberts, Dewi Astuti, Adina M. Palhegyi, Animesh Acharjee, Lucia Sedlackova, Tetsushi Kataura, Elsje G. Otten, Prashanta Kumar Panda, Samuel Lara‐Reyna, Miriam E. Korsgen, Kevin Kauffman, Alejandro Huerta Uribe, Malgorzata Zatyka, Luiz Silva, Jorge Torresi, Shupei Zhang, Georgina W. Hughes, Carl Ward, Erich R. Kuechler, David Cartwright, Sergey Trushin, Eugenia Trushina, Gaurav Sahay, Yosef Buganim, Gareth G. Lavery, Joerg Gsponer, Daniel G. Anderson, Eva‐Maria Frickel, Tatiana R. Rosenstock, Timothy Barrett, Oliver D.K. Maddocks, Daniel A. Tennant, Haoyi Wang, Rudolf Jaenisch, Viktor I. Korolchuk, Sovan Sarkar

Bibliographic record

VenueCell Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersNational Institute of Mental HealthUehara Memorial FoundationWellcome TrustCancer Research UKBiotechnology and Biological Sciences Research CouncilNational Institute for Health and Care ResearchNational Institute on AgingSurgical Reconstruction and Microbiology Research CentreLEO FondetUniversity of BalamandFundação de Amparo à Pesquisa do Estado de São PauloNational Institutes of HealthUniversity of BirminghamJapan Society for the Promotion of Science LondonJapan Society for the Promotion of ScienceMedical Research CouncilInternational Seafood Sustainability FoundationEmerald FoundationDepartment of Science and Technology, Ministry of Science and Technology, IndiaLifeArcEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUK-India Education and Research InitiativeNational Institute of Neurological Disorders and StrokeInternational Pediatric Research Foundation
KeywordsCytotoxicityAutophagyNAD+ kinaseCell biologyChemistryBiologyBiochemistryApoptosisEnzymeIn vitro

Abstract

fetched live from OpenAlex

Autophagy is a homeostatic process critical for cellular survival, and its malfunction is implicated in human diseases including neurodegeneration. Loss of autophagy contributes to cytotoxicity and tissue degeneration, but the mechanistic understanding of this phenomenon remains elusive. Here, we generated autophagy-deficient ( ATG5 −/− ) human embryonic stem cells (hESCs), from which we established a human neuronal platform to investigate how loss of autophagy affects neuronal survival. ATG5 −/− neurons exhibit basal cytotoxicity accompanied by metabolic defects. Depletion of nicotinamide adenine dinucleotide (NAD) due to hyperactivation of NAD-consuming enzymes is found to trigger cell death via mitochondrial depolarization in ATG5 −/− neurons. Boosting intracellular NAD levels improves cell viability by restoring mitochondrial bioenergetics and proteostasis in ATG5 −/− neurons. Our findings elucidate a mechanistic link between autophagy deficiency and neuronal cell death that can be targeted for therapeutic interventions in neurodegenerative and lysosomal storage diseases associated with autophagic defect.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.269
Teacher spread0.254 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations43
Published2023
Admission routes1
Has abstractyes

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