Evidence map›Paper›PMID 35883365›Full record

ArticleAnimals : an open access journal from MDPI2022

Effects of Maternal Nutrient Restriction and Melatonin Supplementation on Cardiomyocyte Cell Development Parameters Using Machine Learning Techniques.

Mitra Mazinani, Zully E Contreras-Correa, Vahid Behzadan, Shreya Gopal, Caleb O Lemley

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 90% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
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

5 authors at 3 institutions in 1 country.

Mitra MazinaniDepartment of Animal and Dairy Sciences, University of Idaho, Moscow, ID 83844, USA.
Zully E Contreras-CorreaDepartment of Animal and Dairy Sciences, Mississippi State University, Starkville, MS 39762, USA.
Vahid BehzadanDepartment of Electrical and Computer Engineering and Computer Science, Tagliatela College of Engineering, University of New Haven, West Haven, CT 06516, USA.
Shreya GopalDepartment of Electrical and Computer Engineering and Computer Science, Tagliatela College of Engineering, University of New Haven, West Haven, CT 06516, USA.
Caleb O LemleyDepartment of Animal and Dairy Sciences, Mississippi State University, Starkville, MS 39762, USA.ORCID 0000-0003-1377-0664
Mississippi State University · USUniversity of New Haven · USUniversity of Idaho · US

Funding

Agricultural Research Service 6066-31000-015-00DU.S. Department of Agriculture, Hatch project 1011100
6 · The paper itself

Abstract

The objective of the current study was to examine the effects of maternal feed restriction and melatonin supplementation on fetal cardiomyocyte cell development parameters and predict binucleation and hypertrophy using machine learning techniques using pregnant beef heifers. Brangus heifers (n = 29) were assigned to one of four treatment groups in a 2 × 2 factorial design at day 160 of gestation: (1) 100% of nutrient requirements (adequately fed; ADQ) with no dietary melatonin (CON); (2) 100% of nutrient requirements (ADQ) with 20 mg/d of dietary melatonin (MEL); (3) 60% of nutrient requirements (nutrient-restricted; RES) with no dietary melatonin (CON); (4) 60% of nutrient requirements (RES) with 20 mg/d of dietary melatonin (MEL). On day 240 of gestation, fetuses were removed, and fetal heart weight and thickness were determined. The large blood vessel perimeter was increased in fetuses from RES compared with ADQ (

Indexed as

binucleatedcardiomyocytefetal developmentmaternal undernutritionmelatonin

Identifiers

PMID35883365
PMCPMC9311781
OpenAlexW4285732783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.