Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus

The current literature has identified many abnormalities in the immune expression of cows infected with the bovine leukemia virus (BLV). These studies have focused on individual cell, gene, or protein expression, failing to provide a comprehensive understanding of the changes in immune expression in animals with BLV. To identify the overall alterations in immune expression during BLV infection, the transcriptomes of the peripheral blood mononuclear cells (PBMCs) of cows seropositive or seronegative for BLV antibodies were sequenced. Whole blood samples were collected from 20 dairy cows and screened for BLV antibodies and PCR was used to quantify the proviral load of the samples. PBMCs were separated from whole blood using density gradient centrifugation from which RNA was isolated and sequenced. Three seropositive samples (BLV+; <i>n</i> = 3), including one of each PVL category, low (<i>n</i> = 1), moderate (<i>n</i> = 1), and high (<i>n</i> = 1), and three seronegative samples (BLV-; <i>n</i> = 3) were sequenced for differential gene expression analysis. The results showed major differences in the transcriptome profiles of the BLV+ and BLV- PBMCs and revealed a wide variety of immunological pathways affected by BLV infection. Our results suggest that disease state and PBMC gene expression vary depending on BLV proviral load levels and that BLV causes the suppression of normal immune responses and influences B and T cell gene expression, resulting in immune dysfunction.

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Publication Details

Journal
Pathogens
Published
2024-10-11
DOI
https://doi.org/10.3390/pathogens13100885
Primary Topic
T-cell and Retrovirus Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus

Oscar J. Benitez, Clarissa Strieder‐Barboza, Tanner F. Scull
1 links
Pathogens
T-cell and Retrovirus Studies
article

Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus

Oscar J. Benitez, Clarissa Strieder‐Barboza, Tanner F. Scull
article en

Abstract

The current literature has identified many abnormalities in the immune expression of cows infected with the bovine leukemia virus (BLV). These studies have focused on individual cell, gene, or protein expression, failing to provide a comprehensive understanding of the changes in immune expression in animals with BLV. To identify the overall alterations in immune expression during BLV infection, the transcriptomes of the peripheral blood mononuclear cells (PBMCs) of cows seropositive or seronegative for BLV antibodies were sequenced. Whole blood samples were collected from 20 dairy cows and screened for BLV antibodies and PCR was used to quantify the proviral load of the samples. PBMCs were separated from whole blood using density gradient centrifugation from which RNA was isolated and sequenced. Three seropositive samples (BLV+; <i>n</i> = 3), including one of each PVL category, low (<i>n</i> = 1), moderate (<i>n</i> = 1), and high (<i>n</i> = 1), and three seronegative samples (BLV-; <i>n</i> = 3) were sequenced for differential gene expression analysis. The results showed major differences in the transcriptome profiles of the BLV+ and BLV- PBMCs and revealed a wide variety of immunological pathways affected by BLV infection. Our results suggest that disease state and PBMC gene expression vary depending on BLV proviral load levels and that BLV causes the suppression of normal immune responses and influences B and T cell gene expression, resulting in immune dysfunction.

PathogensVol. 13(10)
Texas Tech University (US)
U.S. Department of Agriculture, National Institute of Food and Agriculture
Good health and well-being
Openalex Percentile: Top 77%
T-cell and Retrovirus Studies
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Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus — Oscar J. Benitez, Clarissa Strieder‐Barboza, et al. · Pathogens (2024) | TGRS Research Map | TGRS