Evidence map›Paper›PMID 35697844›Full record

ArticleScientific reports2022

Proteomic analysis of adipose tissue revealing differentially abundant proteins in highly efficient mid-lactating dairy cows.

Yehoshav A Ben Meir, Jayasimha R Daddam, Gitit Kra, Hadar Kamer, Yuri Portnick, Yishai Levin, Maya Zachut

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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
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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 2 institutions in 1 country.

Yehoshav A Ben Meir *Department of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel.
Jayasimha R Daddam *Department of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel.
Gitit KraDepartment of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel.
Hadar KamerDepartment of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel.
Yuri PortnickDepartment of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel.
Yishai LevinThe Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, 7610001, Rehovot, Israel.
Maya ZachutDepartment of Ruminant Science, Volcani Center, Institute of Animal Sciences, Agricultural Research Organization, Rishon LeTsiyon, Israel. mayak@volcani.agri.gov.il.
Agricultural Research Organization · ILWeizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The improvement of nutrient utilization efficiency in dairy cows represents an important task in view of the current rising demand for animal products and sustainable resource usage. In this perspective, the identification of appropriate markers to identify the most efficient animals for dairy production becomes a crucial factor. Residual feed intake (RFI), which represents the difference between predicted and actual intake, is used to define the efficiency of cows. In this study, subcutaneous adipose tissue (AT) was collected from five high efficient (HEF) and five low efficient (LEF) mid-lactation Holstein dairy cows, that represented subgroups of the 20% lowest RFI values (HEF) and highest 20% RFI values (LEF), out of a cohort of 155 cows that were examined for feed efficiency at the individual dairy barn at Volcani Institute, Israel. Adipose samples were examined for proteomic analysis by nano-LC/MS-MS and gene expression by RT-PCR. A total of 101 differential proteins (P ≤ 0.05 and fold change ± 1.5) and two protein networks related to feed efficiency were found between HEF and LEF cows. Among the enriched top canonical pathways, FAT10 signaling, EIF2 signaling, Sirtuin signaling, Acute phase response signaling, Protein ubiquitination and mTOR signaling pathways were related to feed efficiency in AT. Furthermore, abundance of transferrin (TF; FC = 78.35, P = 0.02) enriched pathways, including mTOR signaling, LXR/RXR and FXR/RXR activation was found in AT of HEF cows. Relative mRNA expression of RBM39, which is involved in energy metabolism, was decreased in AT of HEF versus LEF. The relationship found between the AT proteins and/or metabolic pathways and the feed efficiency demonstrates that AT may reflect metabolic adaptations to high efficiency, and suggests that these proteins together with their metabolic mechanisms are suitable candidates as biomarkers to identify efficient cows for dairy production.

Indexed as

Animal FeedLactationAdipose TissueAnimalsCattleDietFemaleHumansMilkProteomicsTOR Serine-Threonine KinasesTOR Serine-Threonine Kinases

Identifiers

PMID35697844
PMCPMC9192684
OpenAlexW4282837897

What Socratic 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 Socratic graph.