Evidence map›Paper›PMID 35596682›Full record

ArticleBirth defects research2022

A microRNA or messenger RNA point of departure estimates an apical endpoint point of departure in a rat developmental toxicity model.

Kamin J Johnson, Eduardo Costa, Valerie Marshall, Shreedharan Sriram, Anand Venkatraman, Kenneth Stebbins, Jessica LaRocca

Abstract read
In one paragraph

Article in Birth defects research, 2022. 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
–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

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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.

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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.

Kamin J JohnsonCorteva Agriscience™, Indianapolis, Indiana, USA.ORCID 0000-0003-4550-5566
Eduardo CostaCorteva Agriscience™, Mogi Mirim, São Paulo, Brazil.
Valerie MarshallLabcorp Early Development Laboratories, Inc., Greenfield, Indiana, USA.
Shreedharan SriramCorteva Agriscience™, Johnston, Iowa, USA.
Anand VenkatramanCorteva Agriscience™, Johnston, Iowa, USA.
Kenneth StebbinsCorteva Agriscience™, Newark, Delaware, USA.
Jessica LaRoccaCorteva Agriscience™, Indianapolis, Indiana, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional developmental toxicity testing practice examines fetal apical endpoints to identify a point of departure (POD) for risk assessment. A potential new testing paradigm involves deriving a POD from a comprehensive analysis of molecular-level change. Here, the rat ketoconazole endocrine-mediated developmental toxicity model was used to test the hypothesis that maternal epigenomic (miRNA) and transcriptomic (mRNA) PODs are similar to fetal apical endpoint PODs. Sprague-Dawley rats were exposed from gestation day (GD) 6-21 to 0, 0.063, 0.2, 0.63, 2, 6.3, 20, or 40 mg/kg/day ketoconazole. Dam systemic, liver, and placenta PODs, along with GD 21 fetal resorption, body weight, and skeletal apical PODs were derived using BMDS software. GD 21 dam liver and placenta miRNA and mRNA PODs were obtained using three methods: a novel individual molecule POD accumulation method, a first mode method, and a gene set method. Dam apical POD values ranged from 2.0 to 38.6 mg/kg/day; the lowest value was for placenta histopathology. Fetal apical POD values were 10.9-20.3 mg/kg/day; the lowest value was for fetal resorption. Dam liver miRNA and mRNA POD values were 0.34-0.69 mg/kg/day, and placenta miRNA and mRNA POD values were 2.53-6.83 mg/kg/day. Epigenomic and transcriptomic POD values were similar across liver and placenta. Deriving a molecular POD from dam liver or placenta was protective of a fetal apical POD. These data support the conclusion that a molecular POD can be used to estimate, or be protective of, a developmental toxicity apical POD.

Indexed as

MicroRNAsAnimalsFemaleFetal ResorptionHumansKetoconazolePregnancyRatsRats, Sprague-DawleyRNA, MessengerKetoconazoleMicroRNAsRNA, Messengerdevelopmental toxicityepigenomepoint of departuresafety assessmenttoxicogenomics

Identifiers

PMID35596682
PMCPMC9324934

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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.