Anti-diabetic effects of GLP-1 receptor agonists on obese and overweight patients across diabetes status, administration routes, treatment duration and baseline characteristics: A systematic review.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are increasingly used for anti-obesity indications. However, little is known of the comparative effect of GLP-1 RAs and their glycemic impact across the different routes of administration, diabetic statuses and durations of prescription. PubMed, EMBASE and CENTRAL were searched from inception to 13 February 2024.

Exploring the Role of Herbal Compounds in Skin Aging: A Systematic Review of Topical Approaches.

Recently, dermatology has increasingly focused on understanding skin aging and exploring novel therapeutic approaches. Despite progress in cosmetic and pharmaceutical research, a significant gap remains in comprehensively understanding the effects and mechanisms of herbal extracts on skin aging. While many studies have examined the bioactivities of herbal compounds in preclinical models, comprehensive human trials have been scarce over the past decade.

Effects of glucagon-like peptide-1 receptor agonists on blood pressure in overweight or obese patients: a meta-analysis of randomized controlled trials.

Introduction: Glucagon-like peptide-1 receptor agonists are novel medications with proven efficacy in treating type 2 diabetes mellitus, and are increasingly being used for weight loss. They may potentially have benefit in treating metabolic disorders; however, evidence is sparse with regards to treating high blood pressure (BP). We performed a systematic review, meta-analysis and meta-regression investigating the efficacy of GLP-1 RAs in lowering BP in obese or overweight patients.

Identification of age-associated microbial changes via long-read 16S sequencing.

Background: Age-related gut microbial changes have been widely investigated over the past decade. Most of the previous age-related microbiome studies were conducted on the Western population, and the short-read sequencing (e.g.

Approximated gene expression trajectories for gene regulatory network inference on cell tracks.

The study of pattern formation has benefited from our ability to reverse-engineer gene regulatory network (GRN) structure from spatiotemporal quantitative gene expression data. Traditional approaches have focused on systems where the timescales of pattern formation and morphogenesis can be separated. Unfortunately, this is not the case in most animal patterning systems, where pattern formation and morphogenesis are co-occurring and tightly linked.

DNA/RNA heteroduplex technology with cationic oligopeptide reduces class-related adverse effects of nucleic acid drugs.

Antisense oligonucleotides (ASOs) are a therapeutic modality for incurable diseases. However, systemic injection of gapmer-type ASOs causes class-related toxicities, including prolongation of activated partial thromboplastin time (aPTT) and thrombocytopenia. We previously reported that cholesterol-conjugated DNA/RNA heteroduplex oligonucleotides (Chol-HDOs) exhibit significantly enhanced gene-silencing effects compared to ASOs, even in the central nervous system, by crossing the blood-brain barrier.

Association of elevated lipoprotein(a) levels with ischemic stroke in young patients - a systematic review and meta-analysis.

Introduction: Lipoprotein(a) [Lp(a)] is an established independent causal risk factor for cardiovascular disease and atherosclerosis. However, its association with young-onset ischemic stroke is not well-established. A systematic review and meta-analysis was performed to investigate the association of elevated Lp(a) with young ischemic stroke.

Iterative Chebyshev approximation method for optimal control problems.

We present a novel numerical approach for solving nonlinear constrained optimal control problems (NCOCPs). Instead of directly solving the NCOCPs, we start by linearizing the constraints and dynamic system, which results in a sequence of sub-problems. For each sub-problem, we use finite number of Chebyshev polynomials to estimate the control and state vectors.

Agent-based modeling of the COVID-19 pandemic in Florida.

The onset of the COVID-19 pandemic drove a widespread, often uncoordinated effort by research groups to develop mathematical models of SARS-CoV-2 to study its spread and inform control efforts. The urgent demand for insight at the outset of the pandemic meant early models were typically either simple or repurposed from existing research agendas. Our group predominantly uses agent-based models (ABMs) to study fine-scale intervention scenarios.

Evaluating targeted COVID-19 vaccination strategies with agent-based modeling.

We evaluate approaches to vaccine distribution using an agent-based model of human activity and COVID-19 transmission calibrated to detailed trends in cases, hospitalizations, deaths, seroprevalence, and vaccine breakthrough infections in Florida, USA. We compare the incremental effectiveness for four different distribution strategies at four different levels of vaccine supply, starting in late 2020 through early 2022. Our analysis indicates that the best strategy to reduce severe outcomes would be to actively target high disease-risk individuals.

Facile Generation of Heterotelechelic Poly(2-Oxazoline)s Towards Accelerated Exploration of Poly(2-Oxazoline)-Based Nanomedicine.

Controlling the end-groups of biocompatible polymers is crucial for enabling polymer-based therapeutics and nanomedicine. Typically, end-group diversification is a challenging and time-consuming endeavor, especially for polymers prepared via ionic polymerization mechanisms with limited functional group tolerance. In this study, we present a facile end-group diversification approach for poly(2-oxazoline)s (POx), enabling quick and reliable production of heterotelechelic polymers to facilitate POxylation.

Effect of the U-Shaped Cavity of Conformationally Flexible Chiral Lewis-Acidic Boron-Based Catalysts in Multiselective Diels-Alder Reactions.

The effect of the U-shaped cavity of conformationally flexible chiral Lewis acidic boron-based catalysts in multiselective Diels-Alder reactions was investigated. The U-shaped catalysts can recognize substituents at the terminal acetylene moiety of propynal based on steric factors and can also recognize alkyne and alkene substrates based on the match/mismatch between the catalysts and substrates. Moreover, even in a mixture of different catalysts and substrates, the desired competitive reactions can proceed multiselectively.

Changing COVID-19 cases and deaths detection in Florida.

Epidemic data are often difficult to interpret due to inconsistent detection and reporting. As these data are critically relied upon to inform policy and epidemic projections, understanding reporting trends is similarly important. Early reporting of the COVID-19 pandemic in particular is complicated, due to changing diagnostic and testing protocols.

Feasibility of wastewater-based detection of emergent pandemics through a global network of airports.

Wastewater-based surveillance has been put into practice during the pandemic. Persistence of SARS-CoV-2 in faeces of infected individuals, and high volume of passengers travelling by air, make it possible to detect virus from aircraft wastewater, lending itself to the potential identification of a novel pathogen prior to clinical diagnosis. In this study, we estimated the likelihood of detecting the virus through aircraft wastewater from the probabilities of air travel, viral shedding, defecation, testing sensitivity, and sampling.

Prevalence and Associations of Cognitive Impairment in Adult Patients with Moyamoya Disease: A Systematic Review and Meta-Analysis.

Background: Cognitive impairment, and in the long term Alzheimer's disease, vascular, or mixed dementia, are potential complications of moyamoya disease (MMD), of which the prevalence and associations are not well established.

Objective: We performed a systematic review and meta-analysis to investigate the prevalence of cognitive impairment in adult patients with MMD as well as its clinical and demographic correlates.

Methods: We performed a systematic search of four electronic databases: PubMed (MEDLINE), EMBASE, Scopus, and Cochrane Library, profiling studies from inception until 7 May 2023.

Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty.

Our ability to forecast epidemics far into the future is constrained by the many complexities of disease systems. Realistic longer-term projections may, however, be possible under well-defined scenarios that specify the future state of critical epidemic drivers. Since December 2020, the U.

Deep Learning Approach for the Localization and Analysis of Surface Plasmon Scattering.

Surface plasmon resonance microscopy (SPRM) combines the principles of traditional microscopy with the versatility of surface plasmons to develop label-free imaging methods. This paper describes a proof-of-principles approach based on deep learning that utilized the Y-Net convolutional neural network model to improve the detection and analysis methodology of SPRM. A machine-learning based image analysis technique was used to provide a method for the one-shot analysis of SPRM images to estimate scattering parameters such as the scatterer location.

Human Activity Recognition via Score Level Fusion of Wi-Fi CSI Signals.

Wi-Fi signals are ubiquitous and provide a convenient, covert, and non-invasive means of recognizing human activity, which is particularly useful for healthcare monitoring. In this study, we investigate a score-level fusion structure for human activity recognition using the Wi-Fi channel state information (CSI) signals. The raw CSI signals undergo an important preprocessing stage before being classified using conventional classifiers at the first level.

Social demographics determinants for resistome and microbiome variation of a multiethnic community in Southern Malaysia.

The prevalence of antibiotic-resistant bacteria in Southeast Asia is a significant concern, yet there is limited research on the gut resistome and its correlation with lifestyle and environmental factors in the region. This study aimed to profile the gut resistome of 200 individuals in Malaysia using shotgun metagenomic sequencing and investigate its association with questionnaire data comprising demographic and lifestyle variables. A total of 1038 antibiotic resistance genes from 26 classes were detected with a mean carriage rate of 1.

Informing pandemic response in the face of uncertainty. .

Our ability to forecast epidemics more than a few weeks into the future is constrained by the complexity of disease systems, our limited ability to measure the current state of an epidemic, and uncertainties in how human action will affect transmission. Realistic longer-term projections (spanning more than a few weeks) may, however, be possible under defined scenarios that specify the future state of critical epidemic drivers, with the additional benefit that such scenarios can be used to anticipate the comparative effect of control measures. Since December 2020, the U.

5‑aminiolevulinic acid induces a radiodynamic effect with enhanced delayed reactive oxygen species production under hypoxic conditions in lymphoma cells: An study.

Primary central nervous system lymphoma (PCNSL) is a rare and aggressive type of intracranial tumor. However, PCNSL is radiosensitive; thus, whole-brain radiotherapy (WBRT) is often selected as an alternative consolidation therapy. WBRT-related delayed neurotoxicity can affect the quality of life of the elderly.

Stealth and pseudo-stealth nanocarriers.

The stealth effect plays a central role on capacitating nanomaterials for drug delivery applications through improving the pharmacokinetics such as blood circulation, biodistribution, and tissue targeting. Here based on a practical analysis of stealth efficiency and a theoretical discussion of relevant factors, we provide an integrated material and biological perspective in terms of engineering stealth nanomaterials. The analysis surprisingly shows that more than 85% of the reported stealth nanomaterials encounter a rapid drop of blood concentration to half of the administered dose within 1 h post administration although a relatively long β-phase is observed.