Nevin Manimala

J Med Virol. 2021 Oct 11. doi: 10.1002/jmv.27384. Online ahead of print.

ABSTRACT

OBJECTIVE: Disparities in outcomes exist in outcomes of COVID19. Little is known about other ethnic minorities in US.

METHODS: We included all COVID-19 positive adult patients (≥18 years) hospitalized between March 1, 2020 and February 5^th 2021. We compared in hospital mortality, use of intensive care unit services and inflammatory markers between non-Hispanic whites with non-White/Black Hispanic. Multivariable Cox proportional Hazard models were used to adjust for differences between the two groups.

RESULTS: There were 4059 hospital admissions with COVID-19 in the study period. Of the 3288 White, 789(24%) required ICU admission in comparison to 187 (24.3%) of the 770 Hispanics. Unadjusted mortality was higher in Whites than Hispanics (17.1% versus 10.7%; p<0.001). After adjusting for confounding variables, in-hospital mortality was not statistically different for Whites in comparison to Hispanics (HR 0.96, 95%CI 0.76-1.21, p=0.73). The adjusted rates of ICU transfers were significantly higher in Hispanics (HR 1.34, 95%CI 1.11-1.61, p=0.002). Hispanics had significantly higher CRP, LDH and fibrinogen when compared to Whites.

CONCLUSION: Hispanics as compared to Whites with COVID-19 require higher rates of ICU admission but have a similar mortality. This article is protected by copyright. All rights reserved.

PMID:34633096 | DOI:10.1002/jmv.27384

Prostate. 2021 Oct 11. doi: 10.1002/pros.24251. Online ahead of print.

ABSTRACT

BACKGROUND: Interleukin-6 (IL-6) is a pleiotropic cytokine that confers androgen-independence and aggressiveness in prostate cancer (PCa); however, the molecular mechanisms regulating IL-6 expression remain unclear. The expression of ARID5A, an AT-rich interaction domain (ARID) DNA-binding motif-containing transcription factor is positively correlated with IL-6 expression in human PCa. We, therefore, hypothesized that ARID5A could regulate IL-6 expression in PCa.

METHODS: The relationship between ARID5A and IL-6 in PCa patients was analyzed using statistical analyses of multiple clinical microarray data sets. To investigate whether ARID5A regulates IL-6 expression, CRISPR-driven ARID5A knockout clones were established in DU145 and PC-3 cells.

RESULTS: Analysis of three microarray data sets showed a positive correlation between ARID5A and IL-6 expression. The expression of IL-6 in ARID5A knockout clones was significantly reduced compared with control clones in both PCa cell lines. Knockout of ARID5A did not result in any loss of IL-6 mRNA stability. Instead, we observed a significant decrease in the occupancy of both active RNA Polymerase II and the active histone mark, H3K4me3 at the IL-6 transcriptional start site in ARID5A knockout PCa cells, suggesting a role for transcriptional regulation.

CONCLUSIONS: Our study demonstrated that loss of ARID5A downregulates the expression of IL-6 at the transcriptional level.

PMID:34633095 | DOI:10.1002/pros.24251

Epilepsia. 2021 Oct 11. doi: 10.1111/epi.17095. Online ahead of print.

NO ABSTRACT

PMID:34633079 | DOI:10.1111/epi.17095

Occup Med (Lond). 2021 Oct 11:kqab145. doi: 10.1093/occmed/kqab145. Online ahead of print.

ABSTRACT

BACKGROUND: There is an urgent need to address high levels of work-related violence (WRV) in Britain to improve the workplace experience of both employers and employees.

AIMS: This study specifically explores prevalence rates of work-related violence assaults (WRVAs) for staff at high risk that have supervisor responsibilities and work full-time.

METHODS: Five years of data were used for analysis from the Crime Survey of England and Wales (CSEW). Data were filtered for victims of crime from a working population in Britain.

RESULTS: Forty-four per cent of respondents who are supervisors and have full-time jobs report that they had been victims of WRVAs. This figure is higher than other previous studies of WRV.

CONCLUSIONS: The current study provides further alternative evidence to support high prevalence rates of WRV by selecting for analysis specific work characteristics data that are strongly associated with WRV (supervisor responsibilities and full-time work). It is therefore recommended that future work explores different means of intervention for organizations to implement within the workplace to reduce WRV and protect workers from harm.

PMID:34633045 | DOI:10.1093/occmed/kqab145

Eur J Cardiothorac Surg. 2021 Oct 11:ezab416. doi: 10.1093/ejcts/ezab416. Online ahead of print.

ABSTRACT

OBJECTIVES: Acute thoracic aortic dissection and rupture (TADR) has an incidence of 5-7 per 100 000-person years. Today, most children with congenital heart disease (CHD) survive to become adults with congenital heart disease (ACHD). This study evaluates TADR in patients with ACHD in a large, hospitalized patient population over 11 years to evaluate the incidence, risk factors and outcomes associated with TADR.

METHODS: This was a retrospective review of the Texas Inpatient Discharge Data Set from 1 January 2009 to 31 December 2019. All non-trauma discharges of patients ≥18 years were included. ACHD discharges were identified by International Classification of Diseases, 9th edition (ICD-9)/10 diagnosis codes. TADR were identified using 2 definitions: TADR1 is an ICD-9/10 code for TADR, and TADR2 is TADR1 with an ICD-9/10 procedure code for aortic intervention. Descriptive, univariate and logistic regression statistics were used.

RESULTS: A total of 22 154 664 eligible discharges were identified, of which 12 584 (0.06%) were TADR1 and a subgroup of 5699 (0.03%) were TADR2. CHD was more prevalent in TADR1 (0.2% vs 0.05%; P < 0.001) and TADR2 (0.3% vs 0.04%; P < 0.001). Adjusting for known TADR risk factors, CHD had an odds ratio of 1.69 (95% confidence interval: 1.09-2.63; P = 0.020) for TADR1 and an odds ratio of 1.69 (95% confidence interval: 0.99-2.88; P = 0.056) for TADR2. No in-hospital deaths were found in patients with CHD with TADR.

CONCLUSIONS: ACHD discharges had a higher frequency of TADR versus the general population (0.9-1.2 vs 0.3-0.6 per 1000 discharges). There is an indication that CHD confers an increased adjusted odds of TADR. As the ACHD population continues to grow in number as well as age, it will be important to continue to assess the risk of TADR from CHD and how traditional risk factors impact this risk.

PMID:34633038 | DOI:10.1093/ejcts/ezab416

Anal Methods. 2021 Oct 11. doi: 10.1039/d1ay01309b. Online ahead of print.

ABSTRACT

Due to the limitation of technology, electronic computing is approaching the limit of technology, and new computing tools need to be developed. Here, we build a three-input cascade logic gate based on the advantages of biomolecules, particularly DNA, in the construction of computational logic systems, combined with metal ions and graphene oxide (GO). It is worth mentioning that this study uses a variety of research methods. In addition to the commonly used biological experiments, NUPACK and visual DSD simulation methods are used for analysis, and orthogonal, standardized and other statistical means are used to simplify the experimental process and make the results intuitive. Finally, the designed three-input logic gate is successfully constructed, and it is found that it may have the potential to realize complex computing.

PMID:34633006 | DOI:10.1039/d1ay01309b

Br J Nutr. 2021 Oct 11:1-20. doi: 10.1017/S0007114521004116. Online ahead of print.

ABSTRACT

To investigate the association between the Metabolic Score for Visceral Fat (METS-VF) and risk of type 2 diabetes mellitus (T2DM) and compare the predictive value of the METS-VF for T2DM incidence with other obesity indices in Chinese people. A total of 12,237 non-T2DM participants aged over 18 from the Rural Chinese Cohort Study of 2007-2008 were included at baseline and followed up during 2013-2014. The cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between baseline METS-VF and T2DM risk. Restricted cubic splines were used to model the association between METS-VF and T2DM risk. Area under the receiver operating characteristic curve (AUC) analysis was used to evaluate the ability of METS-VF to predict T2DM incidence. During a median follow-up of 6.01 (5.09-6.06) years, 837 cases developed T2DM. After adjusting for potential confounding factors, the adjusted HR (95% CI) for the highest versus lowest METS-VF quartile was 5.97 (4.28-8.32), with a per 1-standard deviation increase in METS-VF positively associated with T2DM risk. Positive associations were also found in the sensitivity and subgroup analyses, respectively. A significant nonlinear dose-response association was observed between METS-VF and T2DM risk for all participants (Pnonlinearity = 0.0347). Finally, the AUC value of METS-VF for predicting T2DM was largest among six indices. The METS-VF may be a reliable and applicable predictor of T2DM incidence in Chinese people regardless of sex, age, or body mass index.

PMID:34632975 | DOI:10.1017/S0007114521004116

Gut Microbes. 2021 Jan-Dec;13(1):1984105. doi: 10.1080/19490976.2021.1984105.

ABSTRACT

Infection with severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) is responsible for the COVID-19 pandemic. Angiotensin-converting enzyme 2 (Ace2) is expressed in the gastrointestinal (GI) tract and a receptor for SARS-CoV-2, making the GI tract a potential infection site. This study investigated the effects of commensal intestinal microbiota on colonic Ace2 expression using a humanized mouse model. We found that colonic Ace2 expression decreased significantly upon microbial colonization. Humanization with healthy volunteer or dysbiotic microbiota from irritable bowel syndrome (IBS) patients resulted in similar Ace2 expression. Despite the differences in microbiota, no associations between α-diversity, β-diversity or individual taxa, and Ace2 were noted post-humanization. These results highlight that commensal microbiota play a key role in regulating intestinal Ace2 expression and the need to further examine the underlying mechanisms of this regulation.

PMID:34632957 | DOI:10.1080/19490976.2021.1984105

J Biopharm Stat. 2021 Oct 10:1-17. doi: 10.1080/10543406.2021.1975128. Online ahead of print.

ABSTRACT

In current clinical trial development, historical information is receiving more attention as it provides utility beyond sample size calculation. Meta-analytic-predictive (MAP) priors and robust MAP priors have been proposed for prospectively borrowing historical data on a single endpoint. To simultaneously synthesize control information from multiple endpoints in confirmatory clinical trials, we propose to approximate posterior probabilities from a Bayesian hierarchical model and estimate critical values by deep learning to construct pre-specified strategies for hypothesis testing. This feature is important to ensure study integrity by establishing prospective decision functions before the trial conduct. Simulations are performed to show that our method properly controls family-wise error rate and preserves power as compared with a typical practice of choosing constant critical values given a subset of null space. Satisfactory performance under prior-data conflict is also demonstrated. We further illustrate our method using a case study in Immunology.

PMID:34632951 | DOI:10.1080/10543406.2021.1975128

Ergonomics. 2021 Oct 9:1-16. doi: 10.1080/00140139.2021.1992020. Online ahead of print.

ABSTRACT

Statistical body shape models (SBSM) provide compact, flexible representations of body shape that can be implemented in design software. However, few SBSMs have been created to represent adults in supported seated postures that are relevant for the design of seated environments, and none has incorporated the effects of age. This paper presents an SBSM based on surface laser-scan data from 155 U.S. adults. The data were processed to obtain homologous mesh structure and symmetric geometry, and the processed data were statistically analyzed using principal component analysis to obtain a compact representation of the data variance. Regression analysis was conducted to predict body size and shape from stature, body mass index, ratio of sitting height to stature, sex, and age. The resulting model allows rapid generation of realistic body models for applications, including product design, accommodation assessment, and safety system optimization. The model is publicly accessible at HumanShape.org.PRACTITIONER SUMMARY: This paper presents a statistical model that represents adult body shapes in a supported seated posture based on 3D anthropometric measurements. This model is the first whole-body parametric model known to incorporate age effects based on data extending beyond 65 years of age.

PMID:34632947 | DOI:10.1080/00140139.2021.1992020