Evidence map›Paper›PMID 37527016›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2023

Arsenic disrupts extracellular vesicle-mediated signaling in regenerating myofibers.

Zachary Clemens, Kai Wang, Fabrisia Ambrosio, Aaron Barchowsky

Open access · greenAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Underexplored terrain: effects of high priority environmental toxicants on skeletal muscle.Journal of toxicology and environmental health. Part B, Critical reviews · 2026
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Zachary ClemensDepartment of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-2230-9151
Kai WangDiscovery Center for Musculoskeletal Recovery, Schoen Adams Research Institute at Spaulding, Boston, Massachusetts, USA.
Fabrisia AmbrosioDiscovery Center for Musculoskeletal Recovery, Schoen Adams Research Institute at Spaulding, Boston, Massachusetts, USA.
Aaron BarchowskyDepartment of Environmental and Occupational Health, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1268-8159
Harvard University · USUniversity of Pittsburgh · US

Funding

Physical exercise and Blood-brain communication: exosomes, Klotho and choroid plexusR01AG066198 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AMBROSIO, FABRISIA, KOLDAMOVA, RADOSVETA · 2020 to 2024
$3.8M
Role of extracellular matrix in age-related declines of muscle regenerationR01AG061005 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AMBROSIO, FABRISIA, LEDUC, PHILIP R · 2019 to 2023
$2.5M
Dysfunctional skeletal muscle communication in arsenic-promoted cardiometabolic diseaseR01ES033519 · NIEHS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BARCHOWSKY, AARON · 2021 to 2025
$2.5M
Request for a Nikon A1 confocal microscopeS10OD019973 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WATKINS, SIMON C · 2015 to 2015
$358k
NIA NIH HHS R01 AG061005NIA NIH HHS R01 AG066198NIEHS NIH HHS R01 ES033519NIH HHS S10 OD019973
6 · The paper itself

Abstract

Chronic exposure to environmental arsenic is a public health crisis affecting hundreds of millions of individuals worldwide. Though arsenic is known to contribute to many pathologies and diseases, including cancers, cardiovascular and pulmonary diseases, and neurological impairment, the mechanisms for arsenic-promoted disease remain unresolved. This is especially true for arsenic impacts on skeletal muscle function and metabolism, despite the crucial role that skeletal muscle health plays in maintaining cardiovascular health, systemic homeostasis, and cognition. A barrier to researching this area is the challenge of interrogating muscle cell-specific effects in biologically relevant models. Ex vivo studies investigating mechanisms for muscle-specific responses to arsenic or other environmental contaminants primarily utilize traditional 2-dimensional culture models that cannot elucidate effects on muscle physiology or function. Therefore, we developed a contractile 3-dimensional muscle construct model-composed of primary mouse muscle progenitor cells differentiated in a hydrogel matrix-to study arsenic exposure impacts on skeletal muscle regeneration. Muscle constructs exposed to low-dose (50 nM) arsenic exhibited reduced strength and myofiber diameter following recovery from muscle injury. These effects were attributable to dysfunctional paracrine signaling mediated by extracellular vesicles (EVs) released from muscle cells. Specifically, we found that EVs collected from arsenic-exposed muscle constructs recapitulated the inhibitory effects of direct arsenic exposure on myofiber regeneration. In addition, muscle constructs treated with EVs isolated from muscles of arsenic-exposed mice displayed significantly decreased strength. Our findings highlight a novel model for muscle toxicity research and uncover a mechanism of arsenic-induced muscle dysfunction by the disruption of EV-mediated intercellular communication.

Indexed as

ArsenicExtracellular VesiclesMuscular DiseasesAnimalsMiceMuscle ContractionMuscle, SkeletalRegenerationArsenicarsenicbioengineered tissueextracellular vesiclesregenerationskeletal muscle

Identifiers

PMID37527016
PMCPMC10535782
OpenAlexW4385444935

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.