Evidence map›Paper›PMID 26794141›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2016

PBPK-Based Probabilistic Risk Assessment for Total Chlorotriazines in Drinking Water.

Charles B Breckenridge, Jerry L Campbell, Harvey J Clewell, Melvin E Andersen, Ciriaco Valdez-Flores, Robert L Sielken

Open access · bronzeAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
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  7. PBPK Model for Atrazine and Its Chlorotriazine Metabolites in Rat and Human.Toxicological sciences : an official journal of the Society of Toxicology · 2016
    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

6 authors at 3 institutions in 1 country.

Charles B Breckenridge*Syngenta Crop Protection, LLC, Greensboro, North Carolina, 27419-8300; charles.breckenridge@syngenta.com.
Jerry L CampbellThe Hamner Institutes for Health Sciences, 6 Davis Drive, Research Triangle Park, North Carolina, 27709;
Harvey J ClewellThe Hamner Institutes for Health Sciences, 6 Davis Drive, Research Triangle Park, North Carolina, 27709;
Melvin E AndersenThe Hamner Institutes for Health Sciences, 6 Davis Drive, Research Triangle Park, North Carolina, 27709;
Ciriaco Valdez-Flores3131 Texas A&M University, College Station, Texas, 77843-3131;
Robert L SielkenSielken and Associates Consulting Inc, 1200 Beacon Court, College Station, Texas, 77845.
The Hamner Institutes for Health Sciences · USSyngenta (United States) · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The risk of human exposure to total chlorotriazines (TCT) in drinking water was evaluated using a physiologically based pharmacokinetic (PBPK) model. Daily TCT (atrazine, deethylatrazine, deisopropylatrazine, and diaminochlorotriazine) chemographs were constructed for 17 frequently monitored community water systems (CWSs) using linear interpolation and Krieg estimates between observed TCT values. Synthetic chemographs were created using a conservative bias factor of 3 to generate intervening peaks between measured values. Drinking water consumption records from 24-h diaries were used to calculate daily exposure. Plasma TCT concentrations were updated every 30 minutes using the PBPK model output for each simulated calendar year from 2006 to 2010. Margins of exposure (MOEs) were calculated (MOE = [Human Plasma TCTPOD] ÷ [Human Plasma TCTEXP]) based on the toxicological point of departure (POD) and the drinking water-derived exposure to TCT. MOEs were determined based on 1, 2, 3, 4, 7, 14, 28, or 90 days of rolling average exposures and plasma TCT Cmax, or the area under the curve (AUC). Distributions of MOE were determined and the 99.9th percentile was used for risk assessment. MOEs for all 17 CWSs were >1000 at the 99.9(th)percentile. The 99.9(th)percentile of the MOE distribution was 2.8-fold less when the 3-fold synthetic chemograph bias factor was used. MOEs were insensitive to interpolation method, the consumer's age, the water consumption database used and the duration of time over which the rolling average plasma TCT was calculated, for up to 90 days. MOEs were sensitive to factors that modified the toxicological, or hyphenated appropriately no-observed-effects level (NOEL), including rat strain, endpoint used, method of calculating the NOEL, and the pharmacokinetics of elimination, as well as the magnitude of exposure (CWS, calendar year, and use of bias factors).

Indexed as

Models, BiologicalAtrazineDrinking WaterEnvironmental MonitoringHumansProbabilityRisk AssessmentWater Pollutants, ChemicalAtrazineDrinking WaterWater Pollutants, Chemicalatrazineatrazine monitoring programchlorotriazinesdrinking waterPBPK modelpharmacokineticsprobabilistic risk assessmentSafe Drinking Water Actsensitivity analysis.

Identifiers

PMID26794141
PMCPMC4809455
OpenAlexW2307053793

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.