Evidence map›Paper›PMID 29373601›Full record

ArticlePloS one2018

Transcriptional changes detected in fecal RNA of neonatal dairy calves undergoing a mild diarrhea are associated with inflammatory biomarkers.

Fernanda Rosa, Sebastiano Busato, Fatima C Avaroma, Kali Linville, Erminio Trevisi, Johan S Osorio, Massimo Bionaz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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  9. Effect ofSaudi journal of biological sciences · 2023
    Article
  10. Colonization and development of the gut microbiome in calves.Journal of animal science and biotechnology · 2023
    Review
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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 at 4 institutions in 3 countries.

Fernanda RosaDepartment of Animal and Rangeland Sciences, Oregon State University, Corvallis, Oregon, United States of America.
Sebastiano BusatoDepartment of Animal and Rangeland Sciences, Oregon State University, Corvallis, Oregon, United States of America.
Fatima C AvaromaEscuela Agrícola Panamericana El Zamorano, El Zamorano, Francisco Morazán, Honduras.
Kali LinvilleDepartment of Dairy and Food Sciences, South Dakota State University, Brookings, South Dakota, United States of America.
Erminio TrevisiIstituto di Zootecnica, Facoltà di Scienze Agrarie, Alimentari e Ambientali, Università Cattolica del Sacro Cuore, Piacenza, Italy.
Johan S OsorioDepartment of Animal and Rangeland Sciences, Oregon State University, Corvallis, Oregon, United States of America.ORCID 0000-0001-6192-0917
Massimo BionazDepartment of Animal and Rangeland Sciences, Oregon State University, Corvallis, Oregon, United States of America.
Oregon State University · USSouth Dakota State University · USUniversità Cattolica del Sacro Cuore · ITZamorano Pan-American Agricultural School · HN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After birth, a newborn calf has to adapt to an extrauterine life characterized by several physiological changes. In particular, maturation of the gastrointestinal tract in a new environment loaded with potential pathogens, which can predispose neonatal calves to develop diarrhea, and is a major cause of morbidity and mortality during the first 4 wks of life. We aimed to investigate the inflammatory adaptations at a transcriptomic level in the gastrointestinal (GI) tract to a mild diarrhea in neonatal dairy calves using RNA isolated from fresh fecal samples. Eight newborn Jersey male calves were used from birth to 5 wks of age and housed in individual pens. After birth, calves received 1.9 L of colostrum from their respective dams. Calves had ad-libitum access to water and starter grain (22% CP) and were fed twice daily a total of 5.6 L pasteurized whole milk. Starter intake, body weight (BW), fecal score, withers height (WH), and rectal temperature (RT) were recorded throughout the experiment. Blood samples were collected weekly for metabolic and inflammatory profiling from wk 0 to wk 5. Fresh fecal samples were collected weekly and immediately flash frozen until RNA was extracted using a Trizol-based method, and subsequently, an RT-qPCR analysis was performed. Orthogonal contrasts were used to evaluate linear or quadratic effects over time. Starter intake, BW, and WH increased over time. Fecal score was greatest (2.6 ± 0.3) during wk 2. The concentrations of IL-6, ceruloplasmin, and haptoglobin had a positive quadratic effect with maximal concentrations during wk 2, which corresponded to the maximal fecal score observed during the same time. The concentration of serum amyloid A decreased over time. The mRNA expression of the proinflammatory related genes TLR4, TNFA, IL8, and IL1B had a positive quadratic effect of time. A time effect was observed for the cell membrane sodium-dependent glucose transporter SLC5A1, for the major carbohydrate facilitated transporter SLC2A2, and water transport function AQP3, where SLC5A1 and AQP3 had a negative quadratic effect over time. Our data support the use of the fecal RNA as a noninvasive tool to investigate intestinal transcriptomic profiling of dairy calves experiencing diarrhea, which would be advantageous for future research including nutritional effects and health conditions.

Indexed as

Animals, NewbornDairyingFecesTranscription, GeneticAnimalsBiomarkersCattleCattle DiseasesDiarrheaInflammationReal-Time Polymerase Chain ReactionRNABiomarkersRNA

Identifiers

PMID29373601
PMCPMC5786293
OpenAlexW2784899368

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.