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Nevin Manimala Statistics

Developing a three-input cascade DNA logic gate based on the biological characteristics of metal ion-GO, combined with analysis and verification

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

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Nevin Manimala Statistics

Metabolic Score for Visceral Fat: a Novel Predictor for the Risk of Type 2 Diabetes Mellitus

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

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Nevin Manimala Statistics

Colonic expression of Ace2, the SARS-CoV-2 entry receptor, is suppressed by commensal human microbiota

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

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Nevin Manimala Statistics

Deep historical borrowing framework to prospectively and simultaneously synthesize control information in confirmatory clinical trials with multiple endpoints

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

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Nevin Manimala Statistics

A Parametric Modeling of Adult Body Shape in a Supported Seated Posture Including Effects of Age

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

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Nevin Manimala Statistics

Effect of muscle selection for botulinum neurotoxin treatment on spasticity in patients with post-stroke elbow flexor muscle over-activity: an observational prospective study

Somatosens Mot Res. 2021 Oct 10:1-8. doi: 10.1080/08990220.2021.1986383. Online ahead of print.

ABSTRACT

PURPOSE/AIM: To investigate the effect of muscle selection for botulinum neurotoxin A (BoNT-A) treatment on spasticity in patients with post-stroke elbow flexor muscle over-activity.

MATERIALS AND METHODS: Chronic stroke patients with a deforming spastic paresis in the upper limb (elbow flexion with forearm pronation) who were injected BoNT-A into at least one of elbow flexor muscles (brachialis, brachioradialis, and biceps brachii) were included in this prospective observational study. The main outcome measure was spasticity angle by Tardieu Scale recorded at pre-treatment and week 4 after treatment.

RESULTS: Three muscle selection groups with sufficient sample size for statistical analysis were able to be created; brachialis (n = 14), biceps brachii (n = 21), and brachialis plus brachioradialis (n = 11). Although there was a significant improvement in spasticity angle within all groups over time (p < 0.05), the change in spasticity angle was not different between the groups (p > 0.05 for each pairwise comparison). However, the magnitude of the change in spasticity angle was larger in the groups in which brachialis was preferred.

CONCLUSIONS: In stroke patients with a spontaneous spastic posture of elbow flexion and forearm pronation, targeting brachialis for BoNT-A injection seems more effective in reducing the severity of spasticity.

CLINICAL TRIAL REGISTRATION NO: NCT04036981.

PMID:34632927 | DOI:10.1080/08990220.2021.1986383

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Nevin Manimala Statistics

Intrahepatic cholestasis of pregnancy: risk factors for severe disease

J Matern Fetal Neonatal Med. 2021 Oct 10:1-5. doi: 10.1080/14767058.2021.1988924. Online ahead of print.

ABSTRACT

INTRODUCTION: Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-associated hepatic disorder characterized by pruritus in the setting of elevated serum bile acids (BA). Risk factors for the disease include preexisting hepatobiliary disease, personal or family history of ICP, and advanced maternal age. Recent data suggests that patients with severe ICP (BA ≥100 μmol/L) have a higher risk of adverse pregnancy outcomes including stillbirth.

MATERIAL AND METHODS: This was a retrospective cohort study of patients diagnosed with ICP between 2012 and 2019 at a tertiary referral center. ICP was defined as symptomatic pruritus combined with serum BA >10 μmol/L. Maternal characteristics and outcomes were abstracted from electronic medical records. Baseline characteristics were compared between patients with mild (BA <40 μmol/L), moderate (BA 40-99 μmol/L) and severe (BA ≥100 μmol/L) ICP. Obstetrics and neonatal outcomes for patients in each category were then analyzed. Shapiro-Wilk test was used to test for normality for continuous variables, and ANOVA, Kruskal-Wallis, Chi-squared or Fisher’s exact tests were used as appropriate. A p-value <.05 was considered statistically significant.

RESULTS: 438 patients were included in the analysis. Individuals with pregestational diabetes (p < .01), history of ICP (p < .01), prior cholecystectomy (p < .01), and tobacco use (p < .05) were more likely to have severe disease. When compared to individuals with moderate and mild disease, individuals with severe disease were more likely to be diagnosed earlier (29w1d vs 34w1d vs 34w1d, p < .05), have gestational diabetes (50% vs 6% vs 13%, p < .01), hypertensive disorders of pregnancy (42% vs 10% vs 15%, p = .02), and abnormal aspartate aminotransferase (91% vs 65% vs 27%, p < .01) and alanine aminotransferase levels (91% vs 60% vs 26%, p < .01). There were no differences in preterm labor, meconium-stained amniotic fluid, or neonatal respiratory distress syndrome and no stillbirths in this cohort.

CONCLUSIONS: In patients with ICP, those with pregestational diabetes, history of ICP, prior cholecystectomy, and tobacco use are more likely to develop severe disease. Given the adverse outcomes associated with severe disease, serial BA measurements to monitor for development of severe disease may be warranted in this population.

PMID:34632916 | DOI:10.1080/14767058.2021.1988924

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Nevin Manimala Statistics

Brief Behavioral Treatment for Insomnia: A Meta-Analysis

Behav Sleep Med. 2021 Oct 10:1-21. doi: 10.1080/15402002.2021.1982715. Online ahead of print.

ABSTRACT

Purpose: The current study aims to quantify the effect of brief behavioral treatment for insomnia (BBTI) studies through meta-analysis. Method: Searches were performed from inception to February 2020, reporting on the effects of BBTI using randomized controlled trials (RCT) (adults aged 32 to 84). The main outcome measures were sleep onset latency (SOL), wake after sleep onset (WASO), sleep efficiency (SE%), and total sleep time (TST). Results: BBTI showed improved SOL compared with control group in mean difference at early (-15.42 [95% CI: -33.05 to -12.01; I2 =49%]) and late follow-up (-10.52 [95% CI: -1.12 to 0.54; I2=93%]). This was statistically significant at early follow-up, but not at late follow-up. The improvement of WASO by BBTI over the control group was shown at early follow-up (-17.47 [95% CI: -2.67 to 0.45; I2=90%]), and was statistically significant. For WASO, a non-statistically significant improvement of BBTI over the control group was shown at late follow-up (-12.77 [95% CI: -22.47 to -3.08; I2=0%]). SE% was shown improved statistically significant by BBTI over control group at early (4.47 [95% CI: -0.35 to 9.29; I2=98%]) and at late follow-up (6.52 [95% CI: -4.00 to 17.05; I2=89%]). The TST was shown no improvement by BBTI at early follow-up in mean difference (-2.97 [95% CI -38.83 to 32.90; I2=96%]). At late follow-up, TST was shown improvement in BBTI with mean difference (14.52 [95% CI: -31.64 to 60.68; I2=94%]) compared with the control group.Conclusion: Current evidence suggests that BBTI can be considered preliminarily efficacious and can be used for samples of middle-aged and older adults.

PMID:34632908 | DOI:10.1080/15402002.2021.1982715

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Nevin Manimala Statistics

A preliminary examination of unified protocol for transdiagnostic treatment of emotional disorders in patients with panic disorder: a single-case experimental design in Iran

Anxiety Stress Coping. 2021 Oct 10:1-18. doi: 10.1080/10615806.2021.1990269. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: The majority of patients suffering from anxiety disorders in low- and middle-income countries do not receive evidence-based treatments. The Unified Protocol (UP) for the Transdiagnostic Treatment of Emotional Disorders is an evidence-based cognitive-behavioral intervention designed to treat the range of emotional disorders.

DESIGN AND METHODS: Using a single-case experimental design five patients with panic disorder were assigned to a 3-week baselines assessment phase followed by eight sessions of UP treatment and 4-week follow-up phases. Multiple outcome measures of panic severity, anxiety sensitivity, affectivity, and overall anxiety severity and impairment were administered weekly during the baseline, intervention, and follow-up phases.

RESULTS: At post treatment, all participants showed significant reductions in outcome measures, with changes functionally related to treatment and most improvements maintained at 4-week follow-up.

CONCLUSION: Findings provide preliminary cross-cultural support for UP and add to the growing body of literature showing UP can be useful for patients with anxiety disorders in low- and middle-income countries with non-Western cultures.

PMID:34632890 | DOI:10.1080/10615806.2021.1990269

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Nevin Manimala Statistics

Distinct and interacting impacts of trait anxiety and a state anxiety manipulation on attentional switching

Anxiety Stress Coping. 2021 Oct 10:1-16. doi: 10.1080/10615806.2021.1983801. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVES: According to the Attentional Control Theory, individuals with high levels of anxiety often shift their attention inefficiently due to increased effort to meet task demands. However, literature on the effects of anxiety on shifting performance is discrepant. This study examined the impacts of trait and state anxiety on attentional shifting and whether worry or depression explained variance in shifting.

DESIGN AND METHODS: One-hundred thirty-eight undergraduate psychology students were randomized to the Trier Social Stress Test (TSST) or control TSST. Subjects completed measures of state/trait anxiety, worry, and depression and a computerized attention task. Statistical analyses included linear mixed modelling (LMM), t-tests, and ANOVAs.

RESULTS: Results revealed significant effects of state and trait anxiety and worry, but not depression. Type (location/direction) and presentation (switch/repeat) of trials also affected response times. Trait anxiety significantly related to trial presentation but did not interact with trial type. State anxiety did not significantly relate to either trial index. State and trait anxiety significantly impacted overall response time. Results revealed variations in cognitive flexibility, but no interactions between state and trait anxiety in predicting task switching.

CONCLUSION: These findings are discussed in the context of Attentional Control Theory and relevant empirical research.

PMID:34632875 | DOI:10.1080/10615806.2021.1983801