Evidence map›Paper›PMID 40619925›Full record

ArticleMicrobiology and immunology2025

Circulating Cell-Free DNA of Bovine Leukemia Virus: A Promising Biomarker for Enzootic Bovine Leukosis.

M Ishrat Jahan, Toshiaki Inenaga, Sakurako Makimoto, Md Belal Hossain, Yuka Matsuoka, Sharmin Nahar Sithi, Samiul Alam Rajib, Arif Nur Muhammad Ansori, Kenji Sugata, Kazuhiko Imakawa and 2 more

Abstract read
In one paragraph

Article in Microbiology and immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
  4. 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

12 authors.

M Ishrat JahanDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0003-0765-785X
Toshiaki InenagaLaboratory of Animal Management Science, Department of Animal Science, School of Agriculture, Tokai University, Kumamoto.
Sakurako MakimotoLaboratory of Animal Health, Department of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan.
Md Belal HossainDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Yuka MatsuokaDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Sharmin Nahar SithiDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0009-0002-4703-4251
Samiul Alam RajibDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0003-0743-1172
Arif Nur Muhammad AnsoriDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-1279-3904
Kenji SugataDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0003-4014-866X
Kazuhiko ImakawaLaboratory of Molecular Reproduction, Research, Institute of Agriculture, Tokai University, Kumamoto, Japan.
Tomoko KobayashiLaboratory of Animal Health, Department of Animal Science, Faculty of Agriculture, Tokyo University of Agriculture, Atsugi, Kanagawa, Japan.
Yorifumi SatouDivision of Genomics and Transcriptomics, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.ORCID https://orcid.org/0000-0002-1495-7810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine leukemia virus (BLV) causes Enzootic bovine leukosis (EBL) in approximately 1%-5% of infected cattle after a long latent period. Few biomarkers effectively distinguish non-EBL from EBL cattle. Given the rapid turnover of tumor cells, we hypothesized that cell-free DNA (cfDNA) in plasma could serve as a more effective biomarker for EBL diagnosis. We measured the proviral load (PVL) in whole blood and plasma by quantitative PCR targeting LTR and pol. Consistent with previous reports, PVL levels in whole blood in EBL cattle were generally higher than those in non-EBL with some overlap between these two groups. In contrast, PVL in plasma clearly distinguished non-EBL from EBL ones. The receiver operating characteristic analysis showed plasma PVL perfectly discriminated EBL from non-EBL (100% sensitivity and specificity), while whole-blood PVL achieved 70% sensitivity and 30% specificity. Additionally, length of PCR products played a role in PVL detection sensitivity in plasma. We compared the complete BLV sequence between genomic DNA from lymphoma tissue and cfDNA in plasma and found that the predominant BLV sequences were highly similar between them. By assessing the major tumor clone burden based on unique integration sites, we found that BLV cfDNA derived more from tumor clones in the tissues than from peripheral blood mononuclear cells (PBMCs). These data support the idea that BLV in cfDNA primarily originates from tumor cells in EBL cattle. These findings demonstrated that cfDNA could be a better indicator for EBL diagnosis, improving early detection and more timely intervention to reduce the economic loss in the meat and dairy industry.

Indexed as

BiomarkersCell-Free Nucleic AcidsDNA, ViralEnzootic Bovine LeukosisLeukemia Virus, BovineAnimalsCattleProvirusesReal-Time Polymerase Chain ReactionROC CurveSensitivity and SpecificityViral LoadBiomarkersCell-Free Nucleic AcidsDNA, Viralbovine leukemia viruscell‐free DNAenzootic bovine leukosisretrovirus infection

Identifiers

PMID40619925
PMCPMC12414443

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Registered trials

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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.