Prevalence and complication of COVID-19 in patients with ankylosing spondylitis (AS) and its relationship with TNF-a inhibitors

SARS-CoV-2 infection in pregnant patients on TNFα inhibitor: Real-life data with a review of literature

Tumor necrosis factor alpha (TNFα) is involved in the occurrence of negative pregnancy outcomes. The study aimed to evaluate the safety and efficacy of the immunosuppressive TNFα inhibitors (TNFαi) in the treatment of patients with a history of recurrent reproductive failure in the context of COVID-19 pandemics. We reviewed 85 patients who received TNFαi (certolizumab pegol) during Mainland China's first wave of COVID-19 pandemic, from 21st Nov 2022-11 th Jan 2023. We also collected corresponding data from 130 pregnant patients who never used TNFαi for comparison. There were no significant differences in the history of previous pregnancy loss, miscarriage, embryo implantation failure, comorbidities and doses of COVID-19 vaccination. 82.2% and 87.7% pregnant patients contracted primary COVID-19 with symptoms in TNFαi group and no-TNFαi group. Duration of symptoms was significantly longer in TNFαi group and the incidences of cough and lethargy was significantly higher in TNFαi group. Both groups reported similar severity to same-aged close contacts, similar rates of other symptoms and hospitalization. No deaths were reported. In the in vitro fertilization (IVF) subgroup, we achieved a biochemical pregnancy loss rate of 17.4%, miscarriage rate of 21.7%, ongoing pregnancy rate and live birth rate of 34.2%. COVID-19 did not influence the live birth rate. We concluded that TNFαi administration in pregnancy was not associated with increased susceptivity to and severity of COVID-19. However, TNFαi users showed more prominent symptoms and longer recovery time. The pregnancy outcomes with TNFαi in such high-risk group for pregnancy loss was satisfactory.

Ankylosing spondylitis status and risk of secondary systemic amyloidosis: A two-sample mendelian randomization study

OBJECTIVES

There is still controversy regarding the causal relationship between ankylosing spondylitis (AS) and secondary systemic amyloidosis (SSA). This study utilized aggregated data from genome-wide association studies (GWAS) on population cohorts to investigate whether a causal relationship exists between AS and SSA.

METHODS

The genetic causal relationship between AS status and SSA was analyzed utilizing a two-sample Mendelian randomization (TSMR). The analyses were conducted using the weighted mode method (WM2), inverse variance weighted method (IVW), simple mode (SM), weighted median method (WM1), and Mendelian randomization Egger regression (MR-Egger). Among these methods, the primary results were based on the IVW approach. The association was evaluated using the odds ratio (OR) along with a 95% confidence interval (95% CI).

RESULTS

The IVW analysis revealed a positive causal relationship between AS status and SSA (OR = 1.411, 95 % CI = 1.069, 1.862, P = 0.015). Meanwhile, the WM1 (OR = 1.394, 95 % CI = 1.115, 1.742, P = 0.004) and WM2 (OR = 1.393, 95 % CI = 1.112, 1.743, P = 0.045) methods also identified a positive causal relationship between AS status and SSA. The MR-Egger method did not identify a causal relationship between AS and SSA (OR = 1.175, 95 % CI = 0.888, 1.555, P = 0.342). The SM results demonstrated that the observed genotypes did not exhibit statistically significant differences between AS and SSA (OR = 1.184, 95 % CI = 0.416, 3.366, P = 0.767). The results of the MR-Egger regression suggested that the results were unaffected by bias caused by genetic pleiotropy (Intercept = 0.283, SE = 0.134, P = 0.126). Cochran's Q test did not reveal any significant heterogeneity (Q = 1.759, P = 0.624). The "leave-one-out" analysis further confirmed that the absence of any single SNP did not impact the robustness of our results.

CONCLUSION

This study revealed a positive causal relationship between AS status and the occurrence of SSA, providing new insights into the genetic analysis of SSA.