Association between ACE (rs4343 and rs1799752), AGTR1 (rs5186), and PAI-1 (rs2227631) polymorphisms in the host and the severity of Covid-19 infection

Abstract

Objective

It is necessary to identify appropriate clinical, biochemical, epidemiological and genetic biomarkers to elucidate the underlying mechanisms of the coronavirus disease-2019 (COVID-19) disease. The study focused on not only the link between disease severity (non-intense unit care (non-ICU) versus intensive unit care (ICU) and genetic susceptibility in COVID-19 patients but also the connection between comorbidity and genetic susceptibility affecting the severity of COVID-19.

Subject and methods

One hundred and sixty-two COVID-19 patients treated in the non-ICU and ICU in Kayseri City Hospital were included. All volunteers underwent a physical examination and biochemical evaluation. Angiotensin-converting enzyme (ACE p.T776T G > A(rs4343) and g.16471_16472delinsALU (also referred to as I/D polymorphism; rs1799752), angiotensin II receptor type-1 (AGTR1) c.*86A > C (also referred to as A1166C; rs5186), and plasminogen activator inhibitor-1 (PAI-1-844 G > A (rs2227631) polymorphisms were analysed as well.

Results

To have ACE “ID” genotype did not change the severity of the disease (OR: 0.92, 95% CI: 0.41–2.1, p = 0.84), but decreased the mortality risk 2.9-fold (OR: 2.9, 95% CI: 1.1–7.0, p = 0.03). In PAI-1-844 G > A, having the “AA” genotype in the “A” recessive model increased the risk of the diabetes mellitus (DM) 2.3-fold (OR: 2.3 95%, CI: 1.16–4.66, p = 0.018). In the “G” recessive model, to have the GG genotype increased the risk of chronic kidney disease (CKD) 4.8-fold (OR:4.8, 95% CI: 1.5–15.5, p = 0.008). “GG” genotype in the DM group had a higher fibrinogen level compared to those with the “AG” genotype (AG:4847.2 mg/L (1704.3) versus GG:6444.67 mg/L (1861.62) p = 0.019) and “AA” genotype in the CKD group had lower platelet levels and those with “GG” had higher platelet levels (AA:149 µL (18–159) versus GG: 228 µL (146–357) p = 0.022).

Conclusion

This study was shown that genetic predispositions that causes comorbidities were also likely to affect the prognosis of COVID-19.

Keywords:

• Covid-19
• comorbidities
• risk assessment
• biomarker
• genetic susceptibility

Disclosure statement

The authors declare that there is no conflict of interest relevant to the subject matter or materials included in this work.

Additional information

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.