The genetic associations of COVID-19 on genitourinary symptoms

Chang, Zhenglin; An, Lingyue; Lei, Min; Song, Zhenfeng; Deng, Jian Min; Tang, Ren-Bin; Cheng, Zhangkai J.; Sun, Baoqing

doi:10.3389/fimmu.2023.1216211

Cited by 5 publications

(3 citation statements)

References 57 publications

(84 reference statements)

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“…ROC analysis was employed to assess the diagnostic efficiency of diagnostic indicators, using the AUC value to select the top 20 diagnostic indicators, for which the R package ‘pROC’ was utilized. The ‘ggplot2’ package in R was used for graphical plotting, and Adobe Illustrator was employed for color and layout optimization, as previously described ( 21 ). For handling null and missing values, this study identified both using R, initially filling them using the mean value of each test item.…”

Section: Methodsmentioning

confidence: 99%

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis

Chang,

Lu,

Zhang

et al. 2024

Front. Immunol.

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BackgroundSepsis is a major contributor to global morbidity and mortality, affecting millions each year. Notwithstanding the decline in sepsis incidence and mortality over decades, gender disparities in sepsis outcomes persist, with research suggesting higher mortality rates in males.MethodsThis retrospective study aims to delineate gender-specific clinical biomarker profiles impacting sepsis progression and mortality by examining sepsis cases and related clinical data from the past three years. Propensity score matching was used to select age-matched healthy controls for comparison.ResultsAmong 265 sepsis patients, a significantly higher proportion were male (60.8%, P<0.001). While mortality did not significantly differ by gender, deceased patients were significantly older (mean 69 vs 43 years, P=0.003), more likely to have hypertension (54% vs 25%, P=0.019), and had higher SOFA scores (mean ~10 vs 4, P<0.01) compared to survivors. Principal Component Analysis (PCA) showed clear separation between sepsis patients and healthy controls. 48 serum biomarkers were significantly altered in sepsis, with Triiodothyronine, Apolipoprotein A, and Serum cystatin C having the highest diagnostic value by ROC analysis. Gender-stratified comparisons identified male-specific (e.g. AFP, HDLC) and female-specific (e.g. Rheumatoid factor, Interleukin-6) diagnostic biomarkers. Deceased patients significantly differed from survivors, with 22 differentially expressed markers; Antithrombin, Prealbumin, HDL cholesterol, Urea nitrogen and Hydroxybutyrate had the highest diagnostic efficiency for mortality.ConclusionThese findings enhance our understanding of gender disparities in sepsis and may guide future therapeutic strategies. Further research is warranted to validate these biomarker profiles and investigate the molecular mechanisms underlying these gender differences in sepsis outcomes.

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Section: Methodsmentioning

confidence: 99%

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis

Chang,

Lu,

Zhang

et al. 2024

Front. Immunol.

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“…These procedures included restricting SNP missingness to <0.05 and ensuring a minor allele frequency (MAF) of >0.01 [ 19 ]. Additionally, akin to methodologies employed in previous studies, quality assessment can be gauged by examining the adherence to the three stated assumptions [ 19 – 21 ].…”

Section: Methodsmentioning

confidence: 99%

Trans-ancestry analysis in over 799,000 individuals yields new insights into the genetic etiology of colorectal cancer

Yang,

Chang,

Dai

et al. 2024

PLoS ONE

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Background Recent studies have demonstrated the relevance of circulating factors in the occurrence and development of colorectal cancer (CRC); however, the causal relationship remains unclear. Methods Summary-level data for CRC were obtained from the UK Biobank (5,657 cases and 372,016 controls), FinnGen cohort (3,022 cases and 215,770 controls), and BioBank Japan Project (BBJ, 7,062 cases and 195,745 controls). Thirty-two peripheral markers with consistent definitions were collected from the three biobanks. Mendelian randomization (MR) was used to evaluate the causal effect of circulating factors on CRC. The effects from the three consortiums were combined using trans-ancestry meta-analysis methods. Results Our analysis provided compelling evidence for the causal association of higher genetically predicted eosinophil cell count (EOS, odds ratio [OR], 0.8639; 95% confidence interval [CI] 0.7922–0.9421) and red cell distribution width (RDW, OR, 0.9981; 95% CI, 0.9972–0.9989) levels with a decreased risk of CRC. Additionally, we found suggestive evidence indicating that higher levels of total cholesterol (TC, OR, 1.0022; 95% CI, 1.0002–1.0042) may increase the risk of CRC. Conversely, higher levels of platelet count (PLT, OR, 0.9984; 95% CI, 0.9972–0.9996), total protein (TP, OR, 0.9445; 95% CI, 0.9037–0.9872), and C-reactive protein (CRP, OR, 0.9991; 95% CI, 0.9983–0.9999) may confer a protective effect against CRC. Moreover, we identified six ancestry-specific causal factors, indicating the necessity of considering patients’ ancestry backgrounds before formulating prevention strategies. Conclusions MR findings support the independent causal roles of circulating factors in CRC, which might provide a deeper insight into early detection of CRC and supply potential preventative strategies.

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“…Thus, confirming the genuine causal risk factors of kidney stones becomes a critical prerequisite for future disease prevention and treatment and strategies. The MR approach with genetic markers as an instrumental variable (IV) has been widely used to assess the causal relationships of the exposure on the outcome in epidemiology [10][11][12]. MR could not only minimize confounding by environmental factors as allelic genes are both randomly assigned and fixed during gamete formation and conception, but also overcome reverse causation bias as allelic randomization antedates the onset of disease.…”

Section: Introductionmentioning

confidence: 99%

Univariable and multivariable mendelian randomization study revealed the modifiable risk factors of urolithiasis

Fang,

Deng,

Chen

et al. 2023

PLoS ONE

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Background Urolithiasis is a common urological disease with increasing incidence worldwide, and preventing its risk poses significant challenges. Here, we used Mendelian randomization (MR) framework to genetically assess the causal nature of multifaceted risk factors on urolithiasis. Methods 17 potential risk factors associated with urolithiasis were collected from recently published observational studies, which can be categorized basically into lifestyle factors and circulating biomarkers. The instrumental variables of risk factors were selected from large-scale genome-wide association studies (N ≤ 607,291). Summary-level data on urolithiasis were obtained from UK Biobank (UKB) (3,625 cases and 459,308 noncases) and the FinnGen consortium (5,347 cases and 213,445 noncases). The univariable and multivariable MR analyses were applied to evaluate the causal, independent effect of these potential risk factors upon urolithiasis. Effects from the two consortia were combined by the meta-analysis methods. Results Higher genetically predicted sex hormone-binding globulin (SHBG, OR, 0.708; 95% CI, 0.555 to 0.903), estradiol (OR, 0.179; 95% CI, 0.042 to 0.751), tea intake (OR, 0.550; 95% CI, 0.345 to 0.878), alcoholic drinks per week (OR, 0.992; 95% CI, 0.987 to 0.997), and some physical activity (e.g., swimming, cycling, keeping fit, and bowling, OR, 0.054; 95% CI, 0.008 to 0.363) were significantly associated with a lower risk of urolithiasis. In the Multivariate Mendelian Randomization (MVMR) analyses, the significant causal associations between estradiol, SHBG, tea intake, and alcoholic drinks per week with urolithiasis were robust even after adjusting for potential confounding variables. However, the previously observed causal association between other exercises and urolithiasis was no longer significant after adjusting for these factors. Conclusions The univariable and multivariable MR findings highlight the independent and significant roles of estradiol, SHBG, tea intake, and alcoholic drinks per week in the development of urolithiasis, which might provide a deeper insight into urolithiasis risk factors and supply potential preventative strategies.

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The genetic associations of COVID-19 on genitourinary symptoms

Cited by 5 publications

References 57 publications

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis

Clinical biomarker profiles reveals gender differences and mortality factors in sepsis

Trans-ancestry analysis in over 799,000 individuals yields new insights into the genetic etiology of colorectal cancer

Univariable and multivariable mendelian randomization study revealed the modifiable risk factors of urolithiasis

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