As Signals From the Kawasaki-Like Illness During the COVID-19 Pandemic: Is It Possible That the Incidence of IgA Nephropathy May Increase in the Future

Saed, Yasin Abdi; Xu, Wenli; Yaigoub, Hasnaa; Tirichen, Hasna; Guo, Lili; Cheng, Li; Li, Yafeng

doi:10.3389/fmed.2021.737692

Cited by 1 publication

(2 citation statements)

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“…During the last few years, a number of previous epidemiological studies have reported the possible links of between IgAN and COVID-19. Recent study suggested that IgAN may be another serious complications of COVID-19 infection, it showed that the injection of COVID-19 mRNA vaccine might increase the risk of developing IgAN [14]. The similar nding was also observed in a case report, where it showed that, after COVID-19 infection, a 65 years old woman present a decreased renal function, who was then diagnosed as IgAN according to pathological test of renal biopsy [12].…”

Section: Discussionmentioning

confidence: 54%

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Bidirectional causal relationships between IgA nephropathy and COVID-19: genetic evidence from Mendelian randomization

Gao,

Hu,

Zhao

et al. 2024

Preprint

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Purpose Previous studies have suggested that patients with IgA nephropathy (IgAN) was associated with an increased risk of coronavirus disease 2019 (COVID-19) infection. However, the findings were inconsistent, and whether there was a causality between IgAN and COVID-19 infection remains unknown. This study was performed to estimate the casual effect between IgAN and COVID-19 infection with the implementation of bidirectional Mendelian randomization (MR) analysis. Methods Genetic summary data of IgAN was derived from a large genome-wide association study (GWAS) that consisted of 14,361 cases and 43,923 controls. The genetic data of COVID-19 comprised of three phenotypes, including hospitalization, severity and infection, which had a population more than 20 million. The methods of inverse variance weighting (IVW), MR-Egger, weight median and weighted mode were applied for causal inference in MR analysis. Results In the forward direction, the IVW’s results proved that IgAN did not have causal relationships with hospitalization COVID-19 (OR = 1.077, 95%CI: 0.953–1.217, P = 0.236), severe COVID-19 (OR = 1.059, 95%CI: 0.878–1.278, P = 0.547) and COVID-19 infection (OR = 0.973, 95%CI: 0.929–1.109, P = 0.243). Furthermore, reverse MR analysis showed no evidence of causal associations of hospitalization COVID-19 (OR = 1.017, 95%CI: 0.968–1.069, P = 0.499), severe COVID-19 (OR = 1.005, 95%CI: 0.979–1.078, P = 0.781) and COVID-19 infection (OR = 1.030, 95%CI: 0.909–1.169, P = 0.641) with the risk of IgAN. Conclusion Our study does not support a casual association of IgAN with the risk of COVID-19 infection, nor does the causality between COVID-19 infection and IgAN risk.

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Section: Discussionmentioning

confidence: 54%

“…Recently, the association between IgAN and COVID-19 has been broadly discussed. A number of studies has reported that COVID-19 infection may lead to an increased risk of developing IgAN [12][13][14]. However, the conclusions of such associations have been not consistent.…”

Section: Introductionmentioning

confidence: 99%