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Record W4403751165 · doi:10.1101/2024.10.22.617245

The mitochondrial-targeted antioxidant SkQ1 prevents mitochondrial-linked apoptosis but not necroptosis or skeletal muscle atrophy in ovarian cancer

2024· preprint· en· W4403751165 on OpenAlexaff
Shahrzad Khajehzadehshoushtar, Luca J. Delfinis, Fasih A. Rahman, Madison C. Garibotti, Shivam Gandhi, Aditya N. Brahmbhatt, Bianca Garlisi, Sylvia Lauks, Caroline Aitken, Zhu‐Xu Zhang, Jeremy A. Simpson, Joe Quadrilatero, Jim Petrik, Christopher G. R. Perry

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsWestern UniversityUniversity of GuelphUniversity of WaterlooYork University
Fundersnot available
KeywordsNecroptosisAtrophyApoptosisMitochondrionSkeletal muscleCancer researchMedicineOvarian cancerCell biologyBiologyInternal medicineCancerProgrammed cell deathBiochemistry

Abstract

fetched live from OpenAlex

Abstract The degree to which mitochondrial-linked cell death pathways contribute to skeletal muscle atrophy during cancer remain unknown. Here, we combined a novel and robust mouse model of metastatic ovarian cancer with chronic administration of the mitochondrial-targeted antioxidant SkQ1 to determine the time-dependent and muscle-specific relationships of mitochondrial-linked apoptosis and necroptosis to the development of muscle atrophy in the type II B-rich gastrocnemius. Early-stage ovarian cancer reduced type II B fibre cross-sectional area in the gastrocnemius but did not alter mitochondrial H 2 O 2 emission despite increased activities of mitochondrial-linked caspase-9 and-3 regulators of apoptosis. During late-stage ovarian cancer, sustained atrophy was associated with increased mitochondrial H 2 O 2 emission potential in vitro , a greater probability of calcium-triggered mitochondrial permeability transition and increases in downstream caspase-9 and −3 activity. SkQ1 attenuated mitochondrial H 2 O 2 emission and caspase-9 and −3 activity in late-stage ovarian cancer but did not prevent atrophy. Necroptosis markers were heterogeneous across time with total RIPK1 increasing during early-stage cancer which reverted to normal levels by late-stages while phosphorylated RIPK3 decreased below control levels. These discoveries indicate that preventing increases in mitochondrial-linked apoptotic caspase-9 and −3 activity during late-stage ovarian cancer with SkQ1 does not prevent atrophy of type II B fibres. Furthermore, necroptotic markers are inconclusive during cancer in this muscle type but are not modified by SkQ1. These results do not support a causal relationship between mitochondrial H 2 O 2 -linked apoptosis or necroptosis and atrophy in type II B fibres during ovarian cancer but do not rule out potential relationships in other muscle types. Key Points Cancer increases mitochondrial reactive oxygen species (ROS) in skeletal muscle during atrophy, but the role of ROS in regulating cell death remains unknown. We show that attenuating gastrocnemius mitochondrial ROS with the mitochondrial-targeted antioxidant SkQ1 prevented mitochondrial-linked pro-apoptotic caspase 9- and 3-activities but did not affect markers of necroptosis in a mouse model of ovarian cancer. Reductions in gastrocnemius muscle fibre cross-sectional areas and the wet weights of several muscles were not prevented by SkQ1. These findings demonstrate that mitochondrial ROS regulate apoptotic caspases but not necroptosis, and neither pathway is linked to gastrocnemius atrophy in mice with ovarian cancer. The degree to which mitochondrial ROS-linked cell death pathways regulate muscle mass in other muscle types and cancer models requires further investigation.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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