Genetic variations in inflammation-related genes and their influence on the susceptibility of pediatric acute lung injury in a Chinese population

The association of IL-10-1082G/A gene polymorphism with the risk of acute lung injury/respiratory distress syndrome (ALI/RDS): A meta-analysis

BACKGROUND

Several records have reported that single nucleotide polymorphism (SNP) at the interleukin 10 (IL-10)-1082G/A locus affects the risk of acute lung injury/respiratory distress syndrome (ALI/RDS), but the exact association between them has not been elucidated.

OBJECTIVE

This systematic review aims to elucidate the relationship between SNP at the IL-10-1082G/A locus and susceptibility to ALI/RDS by the method of meta-analysis, to identify the early warning indicators of ALI/RDS.

METHODS

Studies on IL-10-1082G/A SNP associated with ALI/RDS were obtained by thorough retrieval of four English databases from each database construction to April 1, 2022. We processed the data using Stata 15.0 software.

RESULTS

Eight eligible records were entered into this meta-analysis. The pooled analysis demonstrated that SNP at the IL-10-1082G/A locus contributed to the risk of ALI/RDS in the allelic (G vs. A: OR= 0.74, 95%CI: 0.55∼0.98) and recessive gene models (Genotype GG vs. GA+AA: OR= 0.57, 95%CI: 0.35∼0.93). The subgroup analysis based on case type showed that SNP at IL-10-1082G/A locus contributed to the risk of neonatal respiratory distress syndrome (NRDS) under all the gene models (Allele G vs. A: OR= 0.45, 95%CI: 0.29∼0.72; Genotype GG+GA vs. AA: OR= 0.36, 95%CI: 0.22∼0.58; Genotype GG vs. GA+AA: OR= 0.30, 95%CI: 0.09∼0.97; Genotype GA vs. AA: OR= 0.44, 95%CI: 0.27∼0.73), except the homozygous model. However, it was not found that SNP at the IL-10-1082G/A locus contributed to ALI or acute respiratory distress syndrome (ARDS). Moreover, the risk of ALI/RDS in Asia was associated with the IL-10-1082G/A locus in the allelic, recessive, and heterozygous models, while we did not observe this association across the Caucasian populations.

CONCLUSION

SNP at the IL-10-1082G/A locus contributed to the risk of ALI/RDS, allele G and genotype GG increasing the ALI/RDS risk, especially in Asia. Besides, allele G, genotype GG+GA, GG, and GA at the IL-10-1082G/A locus can increase susceptibility to NRDS.

Pathobiology, Severity, and Risk Stratification of Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference

OBJECTIVES

To review the literature for studies published in children on the pathobiology, severity, and risk stratification of pediatric acute respiratory distress syndrome (PARDS) with the intent of guiding current medical practice and identifying important areas for future research related to severity and risk stratification.

DATA SOURCES

Electronic searches of PubMed and Embase were conducted from 2013 to March 2022 by using a combination of medical subject heading terms and text words to capture the pathobiology, severity, and comorbidities of PARDS.

STUDY SELECTION

We included studies of critically ill patients with PARDS that related to the severity and risk stratification of PARDS using characteristics other than the oxygenation defect. Studies using animal models, adult only, and studies with 10 or fewer children were excluded from our review.

DATA EXTRACTION

Title/abstract review, full-text review, and data extraction using a standardized data collection form.

DATA SYNTHESIS

The Grading of Recommendations Assessment, Development, and Evaluation approach was used to identify and summarize relevant evidence and develop recommendations for clinical practice. There were 192 studies identified for full-text extraction to address the relevant Patient/Intervention/Comparator/Outcome questions. One clinical recommendation was generated related to the use of dead space fraction for risk stratification. In addition, six research statements were generated about the impact of age on acute respiratory distress syndrome pathobiology and outcomes, addressing PARDS heterogeneity using biomarkers to identify subphenotypes and endotypes, and use of standardized ventilator, physiologic, and nonpulmonary organ failure measurements for future research.

CONCLUSIONS

Based on an extensive literature review, we propose clinical management and research recommendations related to characterization and risk stratification of PARDS severity.

Transmembrane protease serine 2 (TMPRSS2) rs75603675, comorbidity, and sex are the primary predictors of COVID-19 severity

The TMPRSS2 rs75603675 genotype (OR = 0.586), dyslipidemia (OR = 2.289), sex (OR = 0.586), and the Charlson Comorbidity Index (OR = 1.126) were identified as the main predictors of COVID-19 severity in 817 patients who attended Hospital Universitario de La Princesa during March and April 2020.

By the end of December 2021, coronavirus disease 2019 (COVID-19) produced more than 271 million cases and 5.3 million deaths. Although vaccination is an effective strategy for pandemic control, it is not yet equally available in all countries. Therefore, identification of prognostic biomarkers remains crucial to manage COVID-19 patients. The aim of this study was to evaluate predictors of COVID-19 severity previously proposed. Clinical and demographic characteristics and 120 single-nucleotide polymorphisms were analyzed from 817 patients with COVID-19, who attended the emergency department of the Hospital Universitario de La Princesa during March and April 2020. The main outcome was a modified version of the 7-point World Health Organization (WHO) COVID-19 severity scale (WHOCS); both in the moment of the first hospital examination (WHOCS-1) and of the severest WHOCS score (WHOCS-2). The TMPRSS2 rs75603675 genotype (OR = 0.586), dyslipidemia (OR = 2.289), sex (OR = 0.586), and the Charlson Comorbidity Index (OR = 1.126) were identified as the main predictors of disease severity. Consequently, these variables might influence COVID-19 severity and could be used as predictors of disease development.

Interaction of Interleukin 7 Receptor (IL7R) and IL6 Gene Polymorphisms with Smoking Associated with Susceptibility to Asthma in Chinese Han Adults

BACKGROUND

the aim of this study was to investigate the relationship between the risk of asthma and multiple single nucleotide polymorphisms (SNPs) in interleukin 7 receptor (IL7R) and IL6 genes, as well as the gene- environment interactions.

METHODS

This is a hospital- based case- control study. A total of 430 patients with asthma were continuously recruited. Four SNPs within IL7R and IL6 gene were genotyped by PCR based restriction fragment length polymorphism. The Hardy- Weinberg balance of all participants was tested by SNPstats. The best interaction combination of four SNPs in IL7R and IL6 genes and smoking was screened by generalized multifactor dimensionality reduction (GMDR). Logistic regression was used to test the association between four SNPs and asthma, and stratified analysis for rs1800795 gene-smoking interaction, synergy index (SI) was calculated.

RESULTS

The rs1494558-G and rs1800795-C were associated with an increased risk of asthma, adjusted ORs (95% CI) was 1.81 (1.29-2.42) and 1.75 (1.20-2.28), respectively. GMDR indicated that the test accuracy for two-locus model involving rs1800795 and smoking was 0.5721, and the p = .011, the results providing evidence for rs1800795 gene-smoking interaction. The asthma risk was higher in smokers with GC or CC genotype than the sum of risks in subjects with smoking or GC or CC genotype alone, compared to the never smokers with GG genotype, the OR (95%CI) was 4.97 (3.01-7.24), and the synergy index (SI) was 1.68 (1.08-2.60).

CONCLUSIONS

The rs1494558-G and rs1800795-C alleles, gene- environment interaction between rs1800795 and smoking were all associated with increased asthma risk.