# Molecular characterization of bovine viral diarrhea virus and host genetic immune and biochemical responses in diarrheic buffalo calves

**Authors:** Ahmed A. El-Sayed, Eman A. Noaman, Mohamed T. Ragab, Amani Hafez, Mona A. Mahmoud, Ahmed L. El-Naggar, Wafaa A. Osman

PMC · DOI: 10.1038/s41598-026-40635-y · Scientific Reports · 2026-03-10

## TL;DR

This study investigates the genetic and biochemical responses in diarrheic buffalo calves infected with bovine viral diarrhea virus (BVDV) to identify potential biomarkers for disease prediction and prevention.

## Contribution

The study introduces a novel approach using gene expression profiles and nucleotide sequence variations to predict and prevent diarrhea in buffalo calves through marker-assisted selection.

## Key findings

- BVDV was detected in 20% of diarrheic buffalo calves with high viral loads.
- Gene expression levels of immune and antioxidant markers were significantly altered in diarrheic calves.
- Serum levels of acute phase proteins and biochemical markers were significantly different between diarrheic and healthy calves.

## Abstract

Buffalo calves are highly susceptible to neonatal calf diarrhea (NCD), a major cause of morbidity, mortality, and economic loss in livestock production. Among the viral agents responsible, bovine viral diarrhea virus (BVDV) is one of the most common causes of NCD. The infection leads to significant financial losses due to calf mortality, treatment costs, reduced growth performance, and increased susceptibility to secondary infections. The study’s goals were to examine the connections among SNPs, gene expression, the serum profile of biochemical and APPs marker changes, and the molecular detection and prevalence of BVDV in Egyptian diarrheal calves. Blood samples were obtained from 100 neonatal buffalo calves that were diarrheal and 100 that seemed healthy. The blood samples were then separated into EDTA tubes for whole blood collection used for RNA extraction and plain tubes (without anticoagulant) for serum collection. One hundred fecal samples were collected from diarrheic group for BVD screening using polymerase chain reaction (PCR), and those that tested positive with relatively high viral loads were further examined using PCR to amplify specific gene regions: the 5′UTR gene for BVD. Gene expression profile and nucleotide sequence variation for immune and antioxidant markers were assessed in healthy and diarrhea affected calves. BVDV was detected in 20% of the samples, according to PCR data. When the detected strains were matched to reference strains in Genbank, their identities ranged from 84.1 to 100%. Five identified samples’ partial 5′UTR gene nucleotide sequences were uploaded to GenBank and assigned the accession codes PV243153, PV243154, PV243155, PV243156, and PV243157. Diarrheic group gene expression levels of SLC11A1, CD14, PTX3, IRF3, and ST1P1 were considerably (P < 0.05) higher than those of the control group. PRDX2, PRDX6, and GPX, on the other hand, were in the opposite range. Differences in the nucleotide sequences of the genes under investigation were observed between the diarrheic and healthy calves. Serum levels of APPs (Hp, SAA, Cp), ALT, AST, GGT, LDH, BUN, creatinine, triglyceride, cortisol and CRP were significantly (P˂0.05) increased in diarrheal buffalo calves, while serum levels of glucose, total protein, albumin, globulin, calcium, phosphorus, sodium, copper, zinc and iron were decreased. The findings of the study suggest that BVD is widespread in Egypt. The study’s conclusions suggest that by using gene expression profiles and nucleotide sequences in genes related to immunity and antioxidants, buffalo calves could be chosen by marker-assisted selection (MAS) to predict and prevent diarrhea. Biochemical and APPs markers, as well as gene expression profiles and nucleotide sequence of genes under investigation, may also be used as proxy biomarkers for buffalo calves’ diarrhea in order to make an effective management protocol, create effective vaccines, control strategies, and identify the most vulnerable risk period for disease occurrence.

The online version contains supplementary material available at 10.1038/s41598-026-40635-y.

## Linked entities

- **Genes:** SLC11A1 (solute carrier family 11 member 1) [NCBI Gene 6556], CD14 (CD14 molecule) [NCBI Gene 929], PTX3 (pentraxin 3) [NCBI Gene 5806], IRF3 (interferon regulatory factor 3) [NCBI Gene 3661], PRDX2 (peroxiredoxin 2) [NCBI Gene 7001], PRDX6 (peroxiredoxin 6) [NCBI Gene 9588], GPX (probable phospholipid hydroperoxide glutathione peroxidase) [NCBI Gene 103970350]
- **Species:** Bubalus bubalis (taxon 89462)

## Full-text entities

- **Genes:** LDH (Muscle lactate dehydrogenase activity) [NCBI Gene 101409728], PTX3 (pentraxin 3) [NCBI Gene 541148], CD14 (CD14 molecule) [NCBI Gene 281048], CP (ceruloplasmin) [NCBI Gene 514194], PRDX2 (peroxiredoxin 2) [NCBI Gene 286793], SAA2 (serum amyloid A2) [NCBI Gene 506412] {aka SAA, SAA1}, ALB (albumin) [NCBI Gene 280717], IRF3 (interferon regulatory factor 3) [NCBI Gene 516979], SLC11A1 (solute carrier family 11 member 1) [NCBI Gene 282470] {aka NRAMP1}, HP (haptoglobin) [NCBI Gene 280692], PRDX6 (peroxiredoxin 6) [NCBI Gene 282438] {aka AOP2, LPCAT-5}, CRP (C-reactive protein) [NCBI Gene 527553]
- **Diseases:** NCD (MESH:D003967), diarrheal (MESH:D004403), infection (MESH:D007239)
- **Chemicals:** phosphorus (MESH:D010758), zinc (MESH:D015032), triglyceride (MESH:D014280), cortisol (MESH:D006854), EDTA (MESH:D004492), iron (MESH:D007501), copper (MESH:D003300), sodium (MESH:D012964), glucose (MESH:D005947), creatinine (MESH:D003404), calcium (MESH:D002118)
- **Species:** Bovine viral diarrhea virus 1 (no rank) [taxon 11099], Bos taurus (bovine, species) [taxon 9913]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12979644/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12979644/full.md

## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12979644/full.md

---
Source: https://tomesphere.com/paper/PMC12979644