Contribution of FOS in neutrophils to venous thromboembolism via miR-144 based on bioinformatic prediction and validation.
Ping WangHongnan JiangXiaotong QiHeng WangRuijing ZhangLiying SongRuihan ChenSheng YanWenkai ChangJie HuYuwen WangHaijiang JinYongbin ShiZhihui WuWenbo ZhaoPeilu ShiQinqin TianMiao XingHonglin DongPublished in: Journal of cellular and molecular medicine (2024)
The Finkel-Biskis-Jinkins Osteosarcoma (c-Fos; encoded by FOS) plays an important role in several cardiovascular diseases, including atherosclerosis and stroke. However, the relationship between FOS and venous thromboembolism (VTE) remains unknown. We identified differentially expressed genes in Gene Expression Omnibus dataset, GSE48000, comprising VTE patients and healthy individuals, and analysed them using CIBERSORT and weighted co-expression network analysis (WGCNA). FOS and CD46 expressions were significantly downregulated (FOS p = 2.26E-05, CD64 p = 8.83E-05) and strongly linked to neutrophil activity in VTE. We used GSE19151 and performed PCR to confirm that FOS and CD46 had diagnostic potential for VTE; however, only FOS showed differential expression by PCR and ELISA in whole blood samples. Moreover, we found that hsa-miR-144 which regulates FOS expression was significantly upregulated in VTE. Furthermore, FOS expression was significantly downregulated in neutrophils of VTE patients (p = 0.03). RNA sequencing performed on whole blood samples of VTE patients showed that FOS exerted its effects in VTE via the leptin-mediated adipokine signalling pathway. Our results suggest that FOS and related genes or proteins can outperform traditional clinical markers and may be used as diagnostic biomarkers for VTE.
Keyphrases
- venous thromboembolism
- direct oral anticoagulants
- end stage renal disease
- gene expression
- ejection fraction
- newly diagnosed
- cardiovascular disease
- poor prognosis
- chronic kidney disease
- network analysis
- cell proliferation
- long non coding rna
- peritoneal dialysis
- prognostic factors
- atrial fibrillation
- dna methylation
- patient reported outcomes
- type diabetes
- patient reported
- genome wide
- coronary artery disease
- metabolic syndrome
- human health
- bioinformatics analysis
- genome wide analysis