Evidence map›Paper›PMID 40174804›Full record

ArticleToxicology and applied pharmacology2025

Association of arsenic exposure with PDGF-BB in vitro and in a South Texas population exposed through drinking water.

Alexandra E Svetlik, Nishat Tasnim Hasan, Nusrat Fahmida Trisha, Daniel W White, Raj Satkunasivam, Natalie M Johnson, Taehyun Roh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxicology and applied pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Alexandra E SvetlikInterdisciplinary Faculty of Toxicology, Texas A&M University, College Station, TX 77843, USA; Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA.
Nishat Tasnim HasanDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA.
Nusrat Fahmida TrishaDepartment of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA.
Daniel W WhiteDepartment of Urology, Houston Methodist Hospital, Houston, TX 77030, USA.
Raj SatkunasivamDepartment of Biomedical Sciences, University of Houston-Victoria, Victoria, TX 77901, USA.
Natalie M JohnsonInterdisciplinary Faculty of Toxicology, Texas A&M University, College Station, TX 77843, USA; Department of Environmental and Occupational Health, Texas A&M University, College Station, TX 77843, USA.
Taehyun RohInterdisciplinary Faculty of Toxicology, Texas A&M University, College Station, TX 77843, USA; Department of Epidemiology and Biostatistics, Texas A&M University, College Station, TX 77843, USA. Electronic address: taehyunroh@tamu.edu.

Funding

Single cell, multi-parametric high throughput platform to classify endocrine disruptor potential of mixturesP42ES027704 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu · 2017 to 2026
$21.2M
Texas A&M Center for Environmental Health Research (TiCER)P30ES029067 · NIEHS · TEXAS A&M UNIVERSITY · PI Galen Newman · 2019 to 2026
$13.0M
Regulatory Science in Environmental Health and ToxicologyT32ES026568 · NIEHS · TEXAS A&M UNIVERSITY · PI Weihsueh A Chiu, Natalie M Johnson · 2016 to 2026
$3.8M
NIEHS NIH HHS P30 ES029067NIEHS NIH HHS P42 ES027704NIEHS NIH HHS T32 ES026568
6 · The paper itself

Abstract

Exposure to arsenic (As) from drinking water is a global public health concern, as As is a recognized carcinogen. Groundwater in South Texas, particularly in areas with Gulf Coast aquifers, contains high levels of As. Private wells are neither regulated nor regularly monitored, leaving residents vulnerable to arsenic exposure. This study aimed to investigate potential biomarkers of health effects for long-term, low-level As exposure among private well users in South Texas and to cross-validate findings using an in vitro model. Among 74 private well users, the association between urinary As levels and urinary LDH and 16 cytokine levels was assessed. After adjusting for covariates, linear regression analysis showed weak but significant associations between urinary total inorganic As levels and LDH (β = 0.37, p < 0.01, R

Indexed as

ArsenicDrinking WaterEnvironmental ExposureWater Pollutants, ChemicalAdultBiomarkersCell LineFemaleHumansL-Lactate DehydrogenaseMaleMiddle AgedTexasArsenicBiomarkersDrinking WaterL-Lactate DehydrogenaseWater Pollutants, ChemicalArsenicDrinking waterPDGF-BBPrivate wellSouth TexasSV-HUC-1

Identifiers

PMID40174804
PMCPMC12492440

What OpenQuestion holds

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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.