# Preliminary Study of Differential circRNA Expression and Investigation of circRNA–miRNA–mRNA Competitive Endogenous Network in Rumen Acidosis of Holstein Cattle

**Authors:** Saeid Neysi, Jamal Fayazi, Hedayatollah Roshanfekr, Ikhide G. Imumorin

PMC · DOI: 10.3390/ani15101472 · Animals : an Open Access Journal from MDPI · 2025-05-19

## TL;DR

This study explores how circular RNAs may influence ruminal acidosis in cows, revealing a network of RNA interactions that could help improve cattle health and productivity.

## Contribution

The study presents the first circRNA expression profile and ceRNA network in subacute rumen acidosis of Holstein cattle.

## Key findings

- 65 differentially expressed circRNAs were identified in sick versus healthy cows.
- A ceRNA network involving 57 circRNAs, 14 miRNAs, and 22 mRNAs was constructed.
- Key pathways like NF-kappa B and TNF signaling were linked to inflammation in ruminal acidosis.

## Abstract

High-grain diets can make cows sick with ruminal acidosis, a digestive problem that reduces their health and productivity. Our study aimed to discover how special molecules, called circular RNAs, might affect this illness. In six Holstein cows, we found 65 distinct circular RNAs that change between healthy and sick animals, along with a web of connections to other body molecules. This shows these molecules likely influence ruminal acidosis. Such findings could guide farmers to prevent this disorder, improving cow well-being and boosting dairy and beef benefits for society.

Rumen acidosis is a widespread digestive disorder in livestock, causing inflammation and lowering animal performance. Unraveling its molecular mechanisms is vital for improving cattle health and welfare. Circular RNAs (circRNAs) are noncoding RNAs functioning as miRNA or protein sponges. This study employed high-throughput RNA sequencing to identify differentially expressed (DE) circRNAs in subacute rumen acidosis (SARA) in Holstein cattle, revealing 65 DE-circRNAs. We constructed a competitive endogenous RNA (ceRNA) network comprising 57 circRNAs, 14 miRNAs, and 22 mRNAs. Key hub nodes included circRNAs (8:69996068-69996853, 16:2614111-2615445, 5:109525933-109531380, 20:63115665-63116774), miRNAs (bta-miR-146b, bta-miR-181a, bta-miR-223, bta-miR-130b), and mRNAs (SLC2A3, SOCS3, DLC1, ARRDC4). Examination of hub circRNA host genes identified 30 DE transcription factors (TFs). Functional and pathway enrichment analysis pinpointed inflammation and immune response pathways, such as NF-kappa B and TNF signaling. This pioneering study offers the first circRNA expression profile and ceRNA network in SARA cattle, indicating circRNAs’ role in inflammation regulation, thus enhancing our understanding of SARA’s systems biology and potential treatment strategies.

## Linked entities

- **Genes:** SLC2A3 (solute carrier family 2 member 3) [NCBI Gene 6515], SOCS3 (suppressor of cytokine signaling 3) [NCBI Gene 9021], DLC1 (DLC1 Rho GTPase activating protein) [NCBI Gene 10395], ARRDC4 (arrestin domain containing 4) [NCBI Gene 91947]

## Full-text entities

- **Genes:** SOCS3 (suppressor of cytokine signaling 3) [NCBI Gene 282081] {aka SSI-3}, MIR146B (microRNA mir-146b) [NCBI Gene 100313002] {aka bta-mir-146b, mir-146b}, TNF (tumor necrosis factor) [NCBI Gene 280943] {aka TNF-a, TNF-alpha, TNFa}, SLC2A3 (solute carrier family 2 member 3) [NCBI Gene 282358], ARRDC4 (arrestin domain containing 4) [NCBI Gene 538517], MIR223 (microRNA mir-223) [NCBI Gene 100313022] {aka bta-mir-223, mir-223}, DLC1 (DLC1 Rho GTPase activating protein) [NCBI Gene 511433] {aka DLC-1, StARD12}, MIR130B (microRNA mir-130b) [NCBI Gene 100312995] {aka bta-mir-130b, mir-130b}
- **Diseases:** inflammation (MESH:D007249), digestive disorder (MESH:D004066), Rumen Acidosis (MESH:D000138)
- **Species:** 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/PMC12108200/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12108200/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12108200/full.md

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Source: https://tomesphere.com/paper/PMC12108200