Nevin Manimala

Subst Use Misuse. 2022 May 18:1-16. doi: 10.1080/10826084.2022.2076878. Online ahead of print.

ABSTRACT

BACKGROUND: Computer-based and telecommunication technology has become increasingly common to address addiction among women. This review assessed the effect of technology-based interventions on substance misuse, alcohol use, and smoking outcomes among women.

METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) extension for scoping reviews (PRISMA-ScR) guideline was used to conduct the scoping review. Four databases (PubMed, Web of Science, PsycINFO, and Scopus) were used to search for peer-reviewed articles published in English on computer-based and telecommunication technology use to address substance misuse, alcohol use, and smoking among women.

RESULTS: A total of 30 articles were selected after the final full-text review from the U.S., England, Japan, and the Netherlands. The types of technology used in the interventions included computer software (standalone or web-based), mobile applications, video calling, phone, and text messaging. Intervention outcomes included alcohol and other substance misuse reduction as polysubstance misuse (n = 5), smoking cessation (n = 10), substance misuse reduction only (n = 6), and alcohol use reduction only (n = 9). The populations reached included women who were pregnant (n = 13), postpartum (n = 4), or non-pregnant (n = 14) ranging from adolescent to adulthood. Interventions that targeted polysubstance misuse showed statistically significant reductions (p < .05).

CONCLUSION: Although effective in reducing alcohol and other substance misuse, mixed findings were identified for other outcomes targeting a single substance. Technology-based interventions might maximize their effects by targeting polysubstance misuse and addressing associated contextual issues in the form of a computer-delivered module(s).

PMID:35582861 | DOI:10.1080/10826084.2022.2076878

Ann Hum Genet. 2022 May 18. doi: 10.1111/ahg.12470. Online ahead of print.

ABSTRACT

One of the critical issues in genetic association studies is to evaluate the risk of a disease associated with gene-gene or gene-environment interactions. The commonly employed procedures are derived by assigning a particular set of scores to genotypes. However, the underlying genetic models of inheritance are rarely known in practice. Misspecifying a genetic model may result in power loss. By using some potential genetic variables to separate the genotype coding and genetic model parameter, we construct a model-embedded score test (MEST). Our test is free of assumption of gene-environment independence and allows for covariates in the model. An effective sequential optimization algorithm is developed. Extensive simulations show the proposed MEST is robust and powerful in most of scenarios. Finally, we apply the proposed method to rheumatoid arthritis data from the Genetic Analysis Workshop 16 to further investigate the potential interaction effects.

PMID:35582845 | DOI:10.1111/ahg.12470

Catheter Cardiovasc Interv. 2022 May 18. doi: 10.1002/ccd.30178. Online ahead of print.

ABSTRACT

BACKGROUND: The natural history of peridevice leak (PDL) following left atrial appendage occlusion (LAAO) is unknown. This study sought to investigate changes of PDL from 2 until 12 months after LAAO, using cardiac computed tomography (CT), and to assess the potential association between persistent PDL and clinical outcomes METHODS: Single-center observational study of Amplatzer LAAO implants between 2010 and 2017 (n = 206). Patients with 2 and 12 months cardiac CT were included in the study (n = 153). Images were blindly analyzed. PDL was characterized by frequency and size at the device disc, lobe, and left atrial appendage contrast patency. Patients were followed for the composite outcome of ischemic stroke, transient ischemic attack, systemic embolism, or all-cause death. Median follow up from LAAO was 3.1 (2.3-4.3) years.

RESULTS: Contrast patency was present in 101 (66%) and 72 (47%) (p < 0.001) at 2 and 12 months, respectively. PDL was identified at the disc in 103 (67%) patients at 2 months versus 93 (61%) at 12 months (p = 0.08), and at the lobe in 29 (19%) at both time points. PDL area at the disc did not change significantly over time, $∆$ area: -8.95 mm (95% confidence interval [CI]: -18.9; 1.01) p = 0.08. Permanent atrial fibrillation was independently associated with persistent PDL. Persistent versus no PDL was associated with a 62% worse clinical outcome, however not statistically significant, hazard ratio (HR): 1.62 (95% CI: 0.9-2.93), p = 0.11.

CONCLUSION: Persistent PDL was frequently observed following LAAO with Amplatzer devices. The PDL frequency and size appeared unchanged between 2 and 12 months. Persistent PDL was not significantly associated with worse clinical outcomes, yet this needs further delineation in future studies.

PMID:35582829 | DOI:10.1002/ccd.30178

Bioconjug Chem. 2022 May 18;33(5):948-955. doi: 10.1021/acs.bioconjchem.2c00159. Epub 2022 May 3.

ABSTRACT

d-Xylonic acid (XA), derived from pentose sugar xylose, is a multifunctional high-value chemical with a wide range of applications in the fields of medicines, food, agriculture and is a valuable chemical reagent for the synthesis of other useful commodity chemicals. In the bacterial system, xylose dehydrogenase (XDH) catalyzes the oxidation of d-xylose into d-xylonolactone, consuming NAD⁺ or NADP⁺ as a cofactor. The d-xylonolactone then undergoes auto-oxidation into d-xylonic acid. Herein, the XDH enzyme overexpressed in Escherichia coli is purified and immobilized on ferromagnetic nanoparticles, effectively converting xylose into xylonic acid. Parameters deciding the bioconversion were statistically optimized and obtained a maximum of 91% conversion rate. Kinetic parameters of immobilized xylose dehydrogenase showed a 2-fold increase in the maximum velocity of the reaction and catalytic efficiency compared to free enzyme. The operational stability test for the enzyme-nanoparticle conjugate retained 93% relative activity after 10 successive experiments, exhibiting the good recyclability of the biocatalyst for XA production.

PMID:35582818 | DOI:10.1021/acs.bioconjchem.2c00159

Stat Med. 2022 May 18. doi: 10.1002/sim.9440. Online ahead of print.

ABSTRACT

Correlated phenotypes often share common genetic determinants. Thus, a multi-trait analysis can potentially increase association power and help in understanding pleiotropic effect. When multiple traits are jointly measured over time, the correlation information between multivariate longitudinal responses can help to gain power in association analysis, and the longitudinal traits can provide insights on the dynamic gene effect over time. In this work, we propose a multivariate partially linear varying coefficients model to identify genetic variants with their effects potentially modified by environmental factors. We derive a testing framework to jointly test the association of genetic factors and illustrated with a bivariate phenotypic trait, while taking the time varying genetic effects into account. We extend the quadratic inference functions to deal with the longitudinal correlations and used penalized splines for the approximation of nonparametric coefficient functions. Theoretical results such as consistency and asymptotic normality of the estimates are established. The performance of the testing procedure is evaluated through Monte Carlo simulation studies. The utility of the method is demonstrated with a real data set from the Twin Study of Hormones and Behavior across the menstrual cycle project, in which single nucleotide polymorphisms associated with emotional eating behavior are identified.

PMID:35582816 | DOI:10.1002/sim.9440