Evidence map›Paper›PMID 36183000›Full record

ArticleScientific reports2022

Evaluation of the metabolomic profile through

Anastasia Lisuzzo, Luca Laghi, Filippo Fiore, Kevin Harvatine, Elisa Mazzotta, Vanessa Faillace, Nicoletta Spissu, Chenglin Zhu, Livia Moscati, Enrico Fiore

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 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
3.8field-weighted citation impact, top 7% 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, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Metabolic signature ofFrontiers in veterinary science · 2023
    Article
  5. Review
  6. Article
  7. 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

10 authors at 7 institutions in 3 countries.

Anastasia Lisuzzo *Department of Animal Medicine, Production and Health, University of Padova, Viale dell'Università 16, 35020, Legnaro, Italy.
Luca Laghi *Department of Agricultural and Food Science, University of Bologna, 47521, Cesena, Italy.
Filippo FioreDepartment of Veterinary Medicine, University of Sassari, 07100, Sassari, Italy.
Kevin HarvatineDepartment of Animal Science, Pennsylvania State University, State College, PA, 16801, USA.
Elisa MazzottaIstituto Zooprofilattico Sperimentale delle Venezie, 35020, Legnaro, Italy.
Vanessa FaillaceDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università 16, 35020, Legnaro, Italy.
Nicoletta SpissuDepartment of Veterinary Medicine, University of Sassari, 07100, Sassari, Italy.
Chenglin ZhuCollege of Food Science and Technology, Southwest Minzu University, Chengdu, Sichuan, China.
Livia MoscatiIstituto Zooprofilattico Sperimentale dell' Umbria e Marche, 06126, Perugia, Italy.
Enrico FioreDepartment of Animal Medicine, Production and Health, University of Padova, Viale dell'Università 16, 35020, Legnaro, Italy. enrico.fiore@unipd.it.
University of Padua · ITUniversity of Sassari · ITIstituto Zooprofilattico Sperimentale delle Venezie · ITIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche · ITPennsylvania State University · USSouthwest Minzu University · CNUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ketosis is one of the most important health problems in dairy sheep. The aim of this study was to evaluate the metabolic alterations in hyperketonemic (HYK) ewes. Forty-six adult Sardinian ewes were enrolled between 7 ± 3 days post-partum. Blood samples were collected from the jugular vein using Venosafe tubes containing clot activator from jugular vein after clinical examination. The concentration of β-hydroxybutyrate (BHB) was determined in serum and used to divide ewes into assign ewes into: Non-HYK (serum BHB < 0.80 mmol/L) and HYK (serum BHB ≥ 0.80 mmol/L) groups. Animal data and biochemical parameters of groups were examined with one-way ANOVA, and metabolite differences were tested using a t-test. A robust principal component analysis model and a heatmap were used to highlight common trends among metabolites. Over-representation analysis was performed to investigate metabolic pathways potentially altered in connection with BHB alterations. The metabolomic analysis identified 54 metabolites with 14 different between groups. These metabolites indicate altered ruminal microbial populations and fermentations; an interruption of the tricarboxylic acid cycle; initial lack of glucogenic substrates; mobilization of body reserves; the potential alteration of electron transport chain; influence on urea synthesis; alteration of nervous system, inflammatory response, and immune cell function.

Indexed as

Cattle DiseasesKetosis3-Hydroxybutyric AcidAnimalsCattleFemaleHumansLactationMagnetic Resonance SpectroscopyMilkPostpartum PeriodSheepUrea3-Hydroxybutyric AcidUrea

Identifiers

PMID36183000
PMCPMC9526738
OpenAlexW4298396243

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.