Evidence map›Paper›PMID 41064824›Full record

ArticleVeterinary world2025

Sperm protein profiles and their correlation with DNA integrity and protamine deficiency in Donggala bulls

Abdullah Baharun, Hikmayani Iskandar, Tulus Maulana, Annisa Rahmi, Ristika Handarini, Ikhsan Qodri Pramartaa, Fitra Aji Pamungkas, Daud Samsudewa, Ekayanti Mulyawati Kaiin, Paskah Partogi Agung and 4 more

Abstract read
In one paragraph

Article in Veterinary world, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

14 authors.

Abdullah BaharunDepartment of Animal Science, Faculty of Agriculture, Universitas Djuanda, Jl. Tol Ciawi, Bogor, West Java 16720, Indonesia.
Hikmayani IskandarResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Tulus MaulanaResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Annisa RahmiDepartment of Animal Science, Faculty of Agriculture, Universitas Djuanda, Jl. Tol Ciawi, Bogor, West Java 16720, Indonesia.
Ristika HandariniDepartment of Animal Science, Faculty of Agriculture, Universitas Djuanda, Jl. Tol Ciawi, Bogor, West Java 16720, Indonesia.
Ikhsan Qodri PramartaaDepartment of Animal Science, Faculty of Agriculture, Universitas Djuanda, Jl. Tol Ciawi, Bogor, West Java 16720, Indonesia.
Fitra Aji PamungkasResearch Center for Animal Husbandry, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Daud SamsudewaDepartment of Animal Science, Faculty of Animal and Agricultural Sciences, Universitas Diponegoro, Jl. Prof. Soedarto, Semarang, Central Java 50275, Indonesia.
Ekayanti Mulyawati KaiinResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Paskah Partogi AgungResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Muhammad GunawanResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.
Yulius DumaDepartment of Animal Science, Faculty of Animal Science and Fisheries, Universitas Tadulako, Palu, Central Sulawesi 94119, Indonesia.
Raden Iis ArifiantiniDivision of Reproduction and Obstetrics, School of Veterinary Medicine, Biomedical Sciences, IPB University, Bogor, West Jawa 16680, Indonesia.
Syahruddin SaidResearch Center for Applied Zoology, National Research and Innovation Agency (BRIN), Jl. Raya Bogor KM. 46, Cibinong, West Java 16911, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The reproductive efficiency of livestock, especially indigenous breeds such as Donggala bulls, is pivotal to successful breeding programs. While conventional semen parameters are widely used, molecular markers, such as sperm protein profiles and DNA integrity, are emerging as reliable indicators of fertility. This study aimed to characterize the sperm protein profiles of Donggala bulls and examine their correlation with sperm DNA integrity and protamine deficiency. Materials and Methods: Frozen semen samples were collected from six Donggala bulls (aged 5-7 years). Pre-freezing evaluations included progressive motility (via computer-assisted sperm analysis), sperm morphology (using Diff-Quik staining), DNA integrity (assessed by the acridine orange assay), and protamine deficiency (assessed by the chromomycin A3 assay). Protein concentrations were determined using the bicinchoninic acid assay, and protein profiling was performed using 1D sodium dodecyl sulfate polyacrylamide gel electrophoresis. Band intensities and distributions were analyzed using ImageJ. Statistical correlations were analyzed using a one-way analysis of variance and Pearson's correlation coefficients. Results: Significant individual variation was observed in semen quality among bulls. Progressive motility ranged from 38.3% to 46.1%, DNA integrity from 79.5% to 96.8%, and protamine deficiency from 96.0% to 98.7%. The number of protein bands per sample varied between 8 and 11, with molecular weights ranging from 5 to 175 kilodaltons (kDa). Protein concentration ranged from 8.32 to 20.70 μg/mL. A 35 kDa protein band was notably absent in one bull, which may be linked to lower motility. Strong correlations were observed between sperm motility and DNA fragmentation (r = 0.628), protamine deficiency (r = 0.539), protein concentration (r = 0.658), and protein band expression (r = 0.788). Conclusion: Sperm protein profiles in Donggala bulls are significantly correlated with DNA integrity and protamine deficiency, indicating their potential as molecular biomarkers for fertility prediction. These findings provide a foundation for integrating protein profiling into breeding soundness evaluations, suggesting that targeted proteomic analysis may enhance reproductive management strategies.

Indexed as

DNA integrityDonggala bullsfertility biomarkersprotamine deficiencysperm proteins

Identifiers

PMID41064824
PMCPMC12501601

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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.