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Record W4389472721 · doi:10.1101/2023.12.06.570462

<i>Glial swip-10</i> expression controls systemic mitochondrial function, oxidative stress, and neuronal viability via copper ion homeostasis

2023· preprint· en· W4389472721 on OpenAlexfundno aff
Peter Rodriguez, Vrinda Kalia, Chelsea L. Gibson, Zayna Gichi, André Rajoo, Carson D. Matier, Aidan T. Pezacki, Tong Xiao, Lucia Carvelli, Christopher J. Chang, Gary W. Miller, Andy V. Khamoui, Jana Boerner, Randy Blakely

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
FundersNational Institutes of HealthCanadian Institute for Advanced ResearchFlorida Department of Health
KeywordsNeurodegenerationOxidative stressBiologyProteostasisCell biologyOxidative phosphorylationMitochondrionNeuroprotectionBiochemistryDiseaseNeuroscienceInternal medicineMedicine

Abstract

fetched live from OpenAlex

Abstract Cuprous copper (Cu(I)) is an essential cofactor for enzymes supporting many cellular functions including mitochondrial respiration and suppression of oxidative stress. Neurons are particularly dependent on these pathways, with multiple neurodegenerative diseases, including Alzheimer’s disease (AD), Parkinson’s disease, associated with their dysfunction. Key features of Cu(I) contributions to neuronal health in vivo remain to be defined, owing largely to the complex processes involved in Cu(I) production, intracellular transport, and systemic redistribution. Here, we provide genetic and pharmacological evidence that swip-10 is a critical determinant of systemic Cu(I) levels in C. elegans , with deletion leading to systemic deficits in mitochondrial respiration, production of oxidative stress, and neurodegeneration. These phenotypes can be reproduced in wild-type worms by Cu(I)-specific chelation and offset in swip-10 mutants by growth on the Cu(I) enhancing molecule elesclomol, as well as by glial expression of wildtype swip-10 . MBLAC1 , the most closely related mammalian ortholog to swip-10 , encodes for a pre-mRNA processing enzyme for H3 histone, a protein whose actions surprisingly include an enzymatic capacity to produce Cu(I) via the reduction of Cu(II). Moreover, genome-wide association studies and post-mortem molecular studies implicate reductions of MBLAC1 expression in risk for AD with cardiovascular disease comorbidity. Consistent with these studies, we demonstrate that the deposition of β-amyloid plaques, an AD pathological hallmark, in worms engineered to express human Aβ 1-42, is greatly exaggerated by mutation of swip-10 . Together, these studies identify a novel glial-expressed, and pathway for Cu(I) production that may be targeted for the treatment of AD and other neurodegenerative diseases. Significance Statement Devastating neurodegenerative diseases such as Alzheimer’s disease, and Parkinson’s disease are associated with disruptions in copper (Cu) homeostasis. Alterations in Cu(I) give rise to increased oxidative stress burden, mitochondrial and metabolic dysfunction, and can accelerate production and/or potentiate toxicity of disease-associated protein aggregates. Here, using the model system Caenorhabditis elegans , we establish a role for the gene swip-10 in systemic Cu(I) homeostasis. Perturbation of this pathway in worms recapitulates biochemical, histological, and pathological features seen in human neurodegenerative disease. We reveal that these changes can be suppressed pharmacologically and arise when swip-10 expression is eliminated from glial cells. Our work implicates swip-10 and orthologs as key players in Cu(I) homeostasis that may be exploitable to treat multiple neurodegenerative diseases.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.254
Teacher spread0.235 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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