Gene Variants of the OAS/RNase L Pathway and Their Association with Severity of Symptoms and Outcome of SARS-CoV-2 Infection.

INTRODUCTION: The interferon pathway plays a critical role in triggering the immune response to SARS-CoV-2, and these gene variants may be involved in the severity of COVID-19. This study aimed to analyze the frequency of three gene variants of OAS and RNASEL with the occurrence of COVID-19 symptoms and disease outcome. METHODS: This cross-sectional study included 104 patients with SARS-CoV-2 infection, of which 34 were asymptomatic COVID-19, and 70 were symptomatic cases. The variants rs486907 (RNASEL), rs10774671 (OAS1), rs1293767 (OAS2), and rs2285932 (OAS3) were screened and discriminated using a predesigned 5'-nuclease assay with TaqMan probes. RESULTS: Patients with the allele C of the OAS2 gene rs1293767 (OR = 0.36, 95% CI: 0.15-0.83, p = 0.014) and allele T of the OAS3 gene rs2285932 (OR = 0.39, 95% CI: 0.2-0.023, p = 0.023) have lower susceptibility to developing symptomatic COVID-19. The genotype frequencies (G/G, G/C, and C/C) of rs1293767 for that comparison were 64.7%, 29.4%, and 5.9% in the asymptomatic group and 95.2%, 4.8%, and 0% in severe disease (p < 0.05). CONCLUSIONS: Our data indicate that individuals carrying the C allele of the OAS2 gene rs1293767 and the T allele of the OAS3 gene rs2285932 are less likely to develop symptomatic COVID-19, suggesting these genetic variations may confer a protective effect among the Mexican study population. Furthermore, the observed differences in genotype frequencies between asymptomatic individuals and those with severe disease emphasize the potential of these variants as markers for disease severity. These insights enhance our understanding of the genetic factors that may influence the course of COVID-19 and underscore the potential for genetic screening in identifying individuals at increased risk for severe disease outcomes.

Radiological Findings Increased the Successful of COVID-19 Diagnosis in Hospitalized Patients Suspected of Respiratory Viral Infection but with a Negative First SARS-CoV-2 RT-PCR Result.

SARS-CoV-2 is the etiological agent of COVID-19 and may evolve from asymptomatic disease to fatal outcomes. Real-time reverse-transcription polymerase chain reaction (RT-PCR) screening is the gold standard to diagnose severe accurate respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, but this test is not 100% accurate, as false negatives can occur. We aimed to evaluate the potential false-negative results in hospitalized patients suspected of viral respiratory disease but with a negative previous SARS-CoV-2 RT-PCR and analyze variables that may increase the success of COVID-19 diagnosis in this group of patients. A total of 55 hospitalized patients suspected of viral respiratory disease but with a previous negative RT-PCR result for SARS-CoV-2 were included. All the participants had clinical findings related to COVID-19 and underwent a second SARS-CoV-2 RT-PCR. Chest-computed axial tomography (CT) was used as an auxiliary tool for COVID-19 diagnosis. After the second test, 36 patients (65.5%) were positive for SARS-CoV-2 (COVID-19 group), and 19 patients (34.5%) were negative (controls). There were differences between the groups in the platelet count and the levels of D-dimer, procalcitonin, and glucose (p < 0.05). Chest CT scans categorized as COVID-19 Reporting and Data System 5 (CO-RADS 5) were more frequent in the COVID-19 group than in the control group (91.7% vs. 52.6%; p = 0.003). CO-RADS 5 remained an independent predictor of COVID-19 diagnosis in a second SARS-CoV-2 screening (p = 0.013; odds ratio = 7.0, 95% confidence interval 1.5−32.7). In conclusion, chest CT classified as CO-RADS 5 was an independent predictor of a positive second SARS-CoV-2 RT-PCR, increasing the odds of COVID-19 diagnosis by seven times. Based on our results, in hospitalized patients with a chest CT classified as CO-RADS 5, a second SARS-CoV-2 RT-PCR test should be mandatory when the first one is negative. This approach could increase SARS-CoV-2 detection up to 65% and could allow for isolation and treatment, thus improving the patient outcome and avoiding further contagion.

Evaluation of the Potential Risk of Mortality from SARS-CoV-2 Infection in Hospitalized Patients According to the Charlson Comorbidity Index.

Background: The pandemic of COVID-19 has represented a major threat to global public health in the last century and therefore to identify predictors of mortality among COVID-19 hospitalized patients is widely justified. The aim of this study was to evaluate the possible usefulness of Charlson Comorbidity Index (CCI) as mortality predictor in patients hospitalized because COVID-19. Methods: This study was carried out in Zacatecas, Mexico, and it included 705 hospitalized patients with suspected of SARS-CoV-2 infection. Clinical data were collected, and the CCI score was calculated online using the calculator from the Sociedad Andaluza de Medicina Intensiva y Unidades Coronarias; the result was evaluated as mortality predictor among the patients with COVID-19. Results: 377 patients were positive for SARS-COV-2. Obesity increased the risk of intubation among the study population (odds ratio (OR) = 2.59; 95 CI: 1.36-4.92; p = 0.003). The CCI values were higher in patients who died because of COVID-19 complications than those observed in patients who survived (p < 0.001). Considering a CCI cutoff > 31.69, the area under the ROC curve was 0.75, with a sensitivity and a specificity of 63.6% and 87.7%, respectively. Having a CCI value > 31.69 increased the odds of death by 12.5 times among the study population (95% CI: 7.3-21.4; p < 0.001). Conclusions: The CCI is a suitable tool for the prediction of mortality in patients hospitalized for COVID-19. The presence of comorbidities in hospitalized patients with COVID-19 reflected as CCI > 31.69 increased the risk of death among the study population, so it is important to take precautionary measures in patients due to their condition and their increased vulnerability to SARS-CoV-2 infection.

Early pregnancy protein multiplex screening reflects circulating and urinary divergences associated with the development of preeclampsia.

BACKGROUND: Preeclampsia, a pregnancy disorder characterized by hypertension and proteinuria, represents the leading cause of fetal and maternal morbidity and mortality in developing countries. The identification of novel and accurate biomarkers that are predictive of preeclampsia is necessary to improve the prognosis of patients with preeclampsia. OBJECTIVE: To evaluate the preeclampsia predictive value of 34 angiogenic-related proteins. METHODS: We performed a nested cohort case-control study of pregnant women. The profile of the 34 proteins was evaluated at 12, 16, and 20 gestational weeks (GWs), using urine/plasma from 16 women who developed preeclampsia and 20 normotensive pregnant controls by Bio-Plex ProTM Human Cancer Biomarker Panels 1 and 2. RESULTS: The urine concentration of soluble epidermal growth factor receptor (sEGFR), hepatocyte growth factor (HGF), angiopoietin-2 (ANG-2), endoglin (ENG), soluble fas ligand (sFASL), interleukin 6 (IL-6), placental growth factor (PLGF), and vascular endothelial growth factor A (VEGF-A) at 12 GW, prolactin (PRL), ANG-2, transforming growth factor alpha (TGF-α), and VEGF-A at 16 GW, and soluble IL-6 receptor alpha (sIL-6Rα), ANG-2 and sFASL at 20 GW, were different between groups (p < 0.05). The concentration cut-off values calculated in this study for the mentioned proteins, predicted an increased risk to developing preeclampsia in a range of 3.8-29.8 times in the study population. CONCLUSION: The proteins sEGFR, HGF, ANG-2, sFASL, IL-6, PLGF, VEGF-A, PRL, TGF-α FGF-b, sHER2/Neu sIL-6Rα, ENG, uPA, and insulin-like growth factor binding protein 1 (IGFBP-1), were predictive of the development of preeclampsia and their use as markers for this disease should be considered.

Maternal distress and the development of hypertensive disorders of pregnancy.

Despite the implementation of programmes to improve maternal health, maternal and foetal mortality rates still remain high. The presence of maternal distress and its association with the development of pregnancy hypertensive disorders is not well established. The aim of this study was to evaluate the association between maternal distress and the development of hypertensive disorders in pregnancy in a prospective cohort of 321 Mexican women. Symptoms of maternal distressing were evaluated at week 20th of gestation using the General Health Questionnaire. The presence of acute somatic symptoms, social dysfunction, anxiety and insomnia increased the odds of developing a pregnancy hypertensive disorder by 5.1-26.4 times in study population (p values < .05). Our results support the participation of maternal distress in the development of hypertensive disorders of pregnancy. The implementation of effective programmes prioritising risk factors during pregnancy including the presence of maternal distressing factors is recommended. Impact statement What is already known on this subject: Changes in the nervous, endocrine, and immune systems have been observed in pregnant women with distress conditions leading to gestational disorders. What do the results of this study add: The presence of acute somatic symptoms, social dysfunction, anxiety and insomnia increased the developing of hypertensive disorders in Mexican population. What are the implications of these findings for clinical practice and/or further research: These findings may contribute to a better understanding of the role of the maternal stress in the development of hypertensive disorders of pregnancy, and in the implementation of effective programmes for clinical practice prioritising risk factors during pregnancy, including the presence of maternal distressing factors.