Differences in Peripheral Blood Gene Expression of Xinjiang Brown Cattle with Varying Somatic Cell Counts

Bovine mastitis remains a major impediment to optimal dairy production. Somatic cell count (SCC) is commonly used as an indicator of mammary gland inflammation, while milk microbiota may also reflect mastitis-related changes. Here, we employed Oxford Nanopore full-length transcript sequencing to delineate the peripheral blood transcriptomic landscape of Xinjiang Brown cattle stratified by high (SCC ≥ 1,000,000 cells mL^-1) and low (SCC ≤ 200,000 cells mL^-1) SCCs, with the objective of identifying candidate genes underpinning mastitis resistance. We identified 226 differentially expressed genes and 441 differentially expressed transcripts. Genes in the high-SCC group were prominently enriched in immune response pathways and chemokine signalling cascades. Protein-protein interaction network analysis further delineated a core module of ten immune-related genes, including <i>CCL4</i>, <i>IL1B</i> and <i>CXCL2</i>. Integrative analysis with complementary second-generation sequencing data pinpointed <i>CXCL2</i> as a high-priority candidate. Subsequent RT-qPCR and enzyme-linked immunosorbent assay (ELISA) validation revealed that <i>CXCL2</i> expression was significantly elevated both in high-SCC individuals and in an LPS-induced bovine mammary epithelial cell inflammation model. Collectively, these findings establish <i>CXCL2</i> as a putative molecular marker for mastitis resistance breeding and provide a foundational resource for deciphering the molecular mechanisms governing mammary health.