Evidence map›Paper›PMID 38911074›Full record

ArticleVeterinary world2024

Changes in blood biochemical parameters in highly productive cows with ketosis.

Yelena Il, Dmitrii Il, Mikhail Zabolotnykh, Inna Savenkova, Kulsara Nurzhanova, Daniyar Zhantleuov, Bolatpek Kozhebayev, Balnur Akhmetova, Kaliya Satiyeva, Lailim Kurmangali

Abstract read
In one paragraph

Article in Veterinary world, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yelena IlDepartment of Food Security, Agrotechnological Faculty, Manash Kozybaev North Kazakhstan University, Petropavlovsk, Kazakhstan.
Dmitrii IlDepartment of Food Security, Agrotechnological Faculty, Manash Kozybaev North Kazakhstan University, Petropavlovsk, Kazakhstan.
Mikhail ZabolotnykhDepartment of Veterinary and Sanitary Expertise of Livestock Product and Hygiene of Farm Animals, Faculty of Veterinary Medicine, P.A. Stolypin Omsk State Agrarian University, Omsk, Russian Federation.
Inna SavenkovaDepartment of Agronomy and Forestry, Agrotechnological Faculty, Manash Kozybaev North Kazakhstan University, Petropavlovsk, Kazakhstan.
Kulsara NurzhanovaDepartment of Agriculture and Bioresources, Faculty of Veterinary Medicine and Agricultural Management, Shakarim University of Semey, Semey, Kazakhstan.
Daniyar ZhantleuovDepartment of Livestock, North Kazakhstan Research Institute of Agriculture, Beskol, Kazakhstan.
Bolatpek KozhebayevDepartment of Agriculture and Bioresources, Faculty of Veterinary Medicine and Agricultural Management, Shakarim University of Semey, Semey, Kazakhstan.
Balnur AkhmetovaDepartment of Agriculture and Bioresources, Faculty of Veterinary Medicine and Agricultural Management, Shakarim University of Semey, Semey, Kazakhstan.
Kaliya SatiyevaDepartment of Agriculture and Bioresources, Faculty of Veterinary Medicine and Agricultural Management, Shakarim University of Semey, Semey, Kazakhstan.
Lailim KurmangaliDepartment of Agriculture and Bioresources, Faculty of Veterinary Medicine and Agricultural Management, Shakarim University of Semey, Semey, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Biochemical blood testing is the main diagnostic indicator of the clinical condition of highly productive animals and a method of determining changes in metabolic disorders. This study focuses on metabolic changes (ketosis), which are of the utmost importance in the assessment of the health status of animals, as well as differences in intergroup characteristics. The main focus of this study is to demonstrate the influence of subclinical ketosis in highly productive cows on changes in biochemical blood parameters during different physiological periods to further prevent this disease, adjust feeding rations, and prevent premature culling of animals. This study aimed to evaluate and establish changes in the biochemical status dynamics of highly productive cows with metabolic disorders in an industrial livestock complex. Materials and Methods: Blood samples were systematically collected from highly productive cows of the Simmental breed (n = 60) and served as the primary material for subsequent analyses. Each methodological step was designed to ensure evaluation of the metabolic changes associated with post-calving adjustments in highly productive dairy cows. This study employed a comprehensive approach integrating clinical assessments, laboratory analyses, biochemical evaluations, instrumental measurements, and statistical analyses. Results: A biochemical blood test showed that the number of ketone bodies in the experimental group exceeded the norm, varied depending on the physiological state of the animals, and ranged from 0.89 to 1.45 mmol/L. At 10 days after calving, the highest indicator was 1.45 ± 0.05 mmol/L. This indicator was 1.05 mmol/L higher than that in the control group and exceeded the norm by 0.95. Conclusion: Excess ketone bodies in the blood of animals led to accumulation in urine and milk, indicating a disturbance in metabolic processes in the body and a decrease in the quality of animal husbandry products. The sample size and the focus on a single breed from one geographical location may limit the generalizability of the findings. Further research should explore the mechanistic bases of ketosis development, potentially integrating genomic and proteomic approaches to understand the genetic predispositions and molecular pathways involved.

Indexed as

biochemical composition of bloodketone bodiesliver dystrophymetabolismphospholipids

Identifiers

PMID38911074
PMCPMC11188885

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.