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Changes in Energy Dynamics in Arsenic Exposure based Neurotoxicity: A Comprehensive Review

2024· review· en· W4402555326 on OpenAlexaff
Anuj Choudhary, Ruchi Pandey, Debiprasad Padhy, Dipak Rathod, Krishna Murti, Vivek Dave, Sameer Dhingra, Mahesh Rachamalla, Nitesh Kumar

Bibliographic record

VenueCurrent Medicinal Chemistry · 2024
Typereview
Languageen
FieldEnvironmental Science
TopicArsenic contamination and mitigation
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsNeurotoxicityArsenicDynamics (music)Environmental chemistryEnvironmental scienceChemistryToxicityPhysics

Abstract

fetched live from OpenAlex

BACKGROUND: ), which results in different toxicities within the human body and in developing fetus. AIM: The present study emphasizes evaluating the presence of oxidative stress and excessive generation of reactive oxygen species (ROS) resulting in mitochondrial dysfunction and caspase activation followed by apoptosis due to arsenic-induced neurotoxicity along with epigenetic modifications at different molecular targets. METHODS: Published articles available on PubMed and Scopus were studied and summarized. RESULTS: The precise mechanism causing arsenic-induced neurotoxicity at a critical stage of brain development is still unknown, while increased oxidative stress led to mitochondrial dysfunctions which are known to play a prominent role in this. AMPK acts as a metabolic checkpoint and restores ATP levels through a different anabolic pathway in energy starvation. At the same time, arsenic-induced AMPK activation leads to autophagy and neuronal cell death. CONCLUSION: This review summarized the molecular mechanisms involved in arsenic-induced neurotoxicity, which can help to develop suitable future ameliorative and therapeutic strategies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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.

Study designOther design
Domainnot available
GenreReview

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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