Which emerging micropollutants deserve more attention in wastewater in the post-COVID-19 pandemic period? Based on distribution, risk, and exposure analysis.

Aggravated accumulation of emerging micropollutants (EMs) in aquatic environments, especially after COVID-19, raised significant attention throughout the world for safety concerns. This article reviews the sources and occurrence of 25 anti-COVID-19 related EMs in wastewater. It should be pointed out that the concentration of anti-COVID-19 related EMs, such as antivirals, plasticizers, antimicrobials, and psychotropic drugs in wastewater increased notably after the pandemic.

Cytokine storm induced by SARS-CoV-2.

Coronavirus disease 2019 (COVID-19), caused by the virus designated as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread widely throughout the world. Despite the strict global outbreak management and quarantine measures that have been implemented, the incidence of COVID-19 continues to rise, resulting in more than 290,000 deaths and representing an extremely serious threat to human life and health. The clinical symptoms of the affected patients are heterogeneous, ranging from mild upper respiratory symptoms to severe pneumonitis and even acute respiratory distress syndrome (ARDS) or death.

Prevalence of Hyperuricemia and its Correlation with Serum Lipids and Blood Glucose in Physical Examination Population in 2015 - 2018: a Retrospective Study.

Background: Hyperuricemia (HUA) is a metabolic disease caused by a disorder of purine metabolism, which increases the risk of cardio-cerebrovascular disease. Serum lipids and blood glucose are risk factors for metabolic syndrome. Thus, this study aimed to assess the prevalence of HUA and its relationship with serum lipids and blood glucose.

Hypertriglyceridemia and hyperuricemia: a retrospective study of urban residents.

Background: The aim of this study was to determine the association between hypertriglyceridemia and hyperuricemia (HUA).

Methods: The study was conducted in 3884 subjects who had not received medication enrolled as a baseline. Each participant received at least three annual health check-ups between 2011 and 2017.

Development and application of a PCR-HRM molecular diagnostic method of SNPs linked with TNF inhibitor efficacy.

Background Clinical evidence indicates that genetic variations may interfere with the mechanism of drug action. Recently, it has been reported that the single nucleotide polymorphisms (SNPs) of STAT4, PTPN2, PSORS1C1 and TRAF3IP2RA genes are associated with the clinical efficacy of tumor necrosis factor (TNF) inhibitors in the treatment of rheumatoid arthritis (RA) patients. Therefore, the detection of the SNPs linked with TNF inhibitor efficacy may provide an important basis for the treatment of RA.

High-Throughput and Rapid Melting Curve Analysis.

Background: High-resolution melting curve analysis has been widely applied as one of the mainstream technologies used for scanning and detecting genetic mutations. After having realized the integration of PCR amplification and HRM detection on the same instrument, researchers have begun to focus on the throughput and speed of PCR-HRM detection.

Methods: A systematic literature search was conducted with the use of PubMed and ScienceDirect for articles on high resolution melting curve and microfluidic technologies.

[The rheology properties of common hydrophilic gel excipients].

To investigate theological properties of common hydrophilic gel excipients such as Carbopol based on viscosity, the viscosity was determined by rotation method and falling-ball method. Linear regression was made between ln(eta) and concentration, the slope of which was used to explore the relation between viscosity and concentration of different excipients. The viscosity flow active energy (E(eta)) was calculated according to Arrhenius equation and was used to investigate the relation between viscosity and temperature of different excipients.

Tramadol loading, release and iontophoretic characteristics of ion-exchange fiber.

The objective of this study was to investigate the drug loading, release and iontophoretic characteristics of strong acidic ion-exchange fiber, using tramadol hydrochloride as a model drug. The complex of charged model drug and ion-exchange fiber was studied as a new approach to achieve controlled drug delivery. Structural characterization of the fiber was elucidated through different approaches including differential scanning calorimetry (DSC), powder X-ray diffraction (PXRD), scanning electron microscope (SEM) and infrared spectroscopy (IR).

Loading and release of amine drugs by ion-exchange fibers: role of amine type.

With more production and application of ion-exchange fibers (IEFs), it becomes necessary to understand the interaction between IEFs and amine compounds, an important group of organic drugs and structural components of large organic molecules in biological systems. However, so far few experimental studies have been conducted to systematically investigate the exchanging mechanism of amine compounds to IEFs. Therefore, 15 amine drugs were selected to investigate the effect of amine type on the loading and release of them from the related IEFs.