[Evaluation of the trueness and tissue surface adaptation of digital and traditional complete denture bases].

Purpose: To compare the trueness of the tissue surface of the complete denture base among the digital cutting complete denture, the digital 3D printing complete denture and the conventional complete denture.

Methods: Three edentulous patients were selected, and three complete dentures were made for each case. Cutting dentures (cutting group), 3D printed dentures(printing group) were considered as the experimental groups, traditional dentures (traditional group) were considered as the control group.

Clinical evaluation of a multiplex droplet digital PCR for pathogen detection in critically ill COVID-19 patients with bloodstream infections.

Background: Nosocomial bloodstream infections (nBSI) have emerged as a clinical concern for physicians treating COVID-19 patients. In this study, we aimed to evaluate the effectiveness of a multiplex ddPCR in detecting bacterial pathogens in the blood of COVID-19 critically ill patients.

Methods: This prospective diagnostic study included RT-PCR-confirmed COVID-19 patients admitted to our hospital from December 2022 to February 2023.

Exosome derived from tumor-associated macrophages: biogenesis, functions, and therapeutic implications in human cancers.

Tumor-associated macrophages (TAMs), one of the most abundant immune cell types in the tumor microenvironment (TME), account for approximately 50% of the local hematopoietic cells. TAMs play an important role in tumorigenesis and tumor development through crosstalk between various immune cells and cytokines in the TME. Exosomes are small extracellular vesicles with a diameter of 50-150 nm, that can transfer biological information (e.

Study on the mechanism of action of colchicine in the treatment of coronary artery disease based on network pharmacology and molecular docking technology.

This is the first study to explore the mechanism of colchicine in treating coronary artery disease using network pharmacology and molecular docking technology, aiming to predict the key targets and main approaches of colchicine in treating coronary artery disease. It is expected to provide new ideas for research on disease mechanism and drug development. Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), Swiss Target Prediction and PharmMapper databases were used to obtain drug targets.

Wall shear stress and its role in atherosclerosis.

Atherosclerosis (AS) is the major form of cardiovascular disease and the leading cause of morbidity and mortality in countries around the world. Atherosclerosis combines the interactions of systemic risk factors, haemodynamic factors, and biological factors, in which biomechanical and biochemical cues strongly regulate the process of atherosclerosis. The development of atherosclerosis is directly related to hemodynamic disorders and is the most important parameter in the biomechanics of atherosclerosis.

Efficacy and safety of dorzagliatin for type 2 diabetes mellitus: A meta-analysis and trial sequential analysis.

Objective: To evaluate the efficacy and safety of dorzagliatin in the treatment of type 2 diabetes mellitus (T2DM) by using meta-analysis and trial sequential analysis (TSA).

Method: Search for clinical trials of dorzagliatin for T2DM in eight databases, with a time limit of build to July 2022. The included studies that met the requirements were carried out for meta-analysis and TSA.

Meta-analysis and trial sequential analysis of acupoint catgut embedding in the treatment of ulcerative colitis: Acupoint catgut embedding treating ulcerative colitis meta-analysis.

Background: Although anti-inflammatory and immunomodulatory measures have delayed the progression of ulcerative colitis (UC) to a certain extent, the adverse drug reactions and recurrence after recovery still trouble clinicians. Acupoint catgut embedding is a possible alternative strategy for the treatment of UC, but its clinical efficacy remains controversial. Therefore, this study systematically evaluated the clinical efficacy and safety of acupoint catgut embedding compared with conventional western medicine in the treatment of UC.

Different visual evoked potentials in neuromyelitis optica spectrum disorder-related optic neuritis and idiopathic demyelinating optic neuritis: a prospective longitudinal analysis.

Background: To investigate different visual evoked potential (VEP) patterns in neuromyelitis optica spectrum disorder-related optic neuritis (NMOSD-ON) and idiopathic demyelinating optic neuritis (IDON).

Methods: This was a longitudinal, prospective, case-control study. Eighty-four Chinese patients with acute optic neuritis were enrolled, including 26 NMOSD-ON patients and 58 IDON patients.

Optimal dose of tirzepatide for type 2 diabetes mellitus: A meta-analysis and trial sequential analysis.

Objective: The purpose of this study is to evaluate the optimal dose of tirzepatide (TZP) for the treatment of type 2 diabetes mellitus (T2DM) by meta-analysis and trial sequential analysis (TSA).

Methods: Clinical trials of TZP for T2DM were obtained by searching 8 databases with a time limit from database creation to May 2022. Mean differences (MD) and 95% confidence intervals (95%CI) were used for continuous variables, and relative risk (RR) and 95%CI were used for dichotomous variables.

[Clinical study of the effect of fixed Twin-block on adolescent skeletal Class Ⅱ malocclusion].

Purpose: To evaluate the retention ability of fixed Twin-block appliance and its clinical effect on adolescent skeletal ClassⅡmalocclusion.

Methods: Twenty-six skeletal ClassⅡdivision 1 adolescents (M:12, F: 14; age:11~13 years, average: 11.8 years) were chosen and fixed Twin-block appliance was used to guide the mandibular protrusion for one year.

Myocardial Ischemia-Reperfusion Injury: Therapeutics from a Mitochondria-Centric Perspective.

Coronary arterial disease is the most common cardiovascular disease. Myocardial ischemia-reperfusion injury caused by the initial interruption of organ blood flow and subsequent restoration of organ blood flow is an important clinical problem with various cardiac reperfusion strategies after acute myocardial infarction. Even though blood flow recovery is necessary for oxygen and nutrient supply, reperfusion causes pathological sequelae that lead to the aggravation of ischemic injury.

[Research progress on potential targets-mitochondrial dynamics-related proteins in treatment of myocardial ischemia-reperfusion injury].

Acute myocardial infarction(AMI) is still the leading cause of death worldwide. At present, the treatment of AMI is mainly to restore the cardiac blood supply through myocardial reperfusion. With the widespread use of coronary artery bypass grafting and percutaneous coronary intervention(PCI), myocardial reperfusion injury is a major clinical problem.

Nitrogen-doped porous carbon encapsulating iron nanoparticles for enhanced sulfathiazole removal via peroxymonosulfate activation.

Developing novel catalyst with both high efficiency and stability presents an enticing prospect for peroxymonosulfate (PMS) activation. In this paper, nitrogen-doped porous carbon encapsulating iron nanoparticles (CN-Fe) was fabricated by a facile carbothermal reduction process using polyaniline (PANI) and α-FeO as the precursors. The stubborn antibiotics, sulfathiazole (STZ), was employed as a target pollutant, demonstrating that CN-Fe coupled with PMS could achieve 96% removal efficiency and even 57% mineralization rate of STZ within 40 min.

Combination of levulinic acid and sodium dodecyl sulfate on inactivation of foodborne microorganisms: A review.

The combination of levulinic acid and sodium dodecyl sulfate (SDS) in recent years has shown considerable promise as an antimicrobial intervention. Both ingredients have been designated by the U.S.

[Study on the practice and effect of target teaching method in teaching of dental technology interns].

Purpose: To standardize the teaching process of interns in dental technology so as to make the learning progress and process goals more clearly and improve the teaching quality.

Methods: Thirty-two junior interns were selected from medical colleges and universities from 2014 to 2017, based on same learning ability, learning attitude, learning achievement and hands-on ability ，they were randomly divided into 2 groups. The experimental group adopted the goal teaching method, using relevant teaching materials, applying theory to practice closely, and trying to standardize practice.

Verrucosispora rhizosphaerae sp. nov., isolated from mangrove rhizosphere soil.

An actinomycete strain, 2603PH03, was isolated from a mangrove rhizosphere soil sample collected in Wenchang, China. Phylogenetic analysis of the 16S rRNA gene sequence of strain 2603PH03 indicated high similarity to Verrucosispora gifthornensis DSM 44337 (99.4%), Verrucosispora andamanensis (99.

hMuLab: A Biomedical Hybrid MUlti-LABel Classifier Based on Multiple Linear Regression.

Many biomedical classification problems are multi-label by nature, e.g., a gene involved in a variety of functions and a patient with multiple diseases.

CRISPRdigger: detecting CRISPRs with better direct repeat annotations.

Clustered regularly interspaced short palindromic repeats (CRISPRs) are important genetic elements in many bacterial and archaeal genomes, and play a key role in prokaryote immune systems' fight against invasive foreign elements. The CRISPR system has also been engineered to facilitate target gene editing in eukaryotic genomes. Using the common features of mis-annotated CRISPRs in prokaryotic genomes, this study proposed an accurate de novo CRISPR annotation program CRISPRdigger, which can take a partially assembled genome as its input.

McTwo: a two-step feature selection algorithm based on maximal information coefficient.

Background: High-throughput bio-OMIC technologies are producing high-dimension data from bio-samples at an ever increasing rate, whereas the training sample number in a traditional experiment remains small due to various difficulties. This "large p, small n" paradigm in the area of biomedical "big data" may be at least partly solved by feature selection algorithms, which select only features significantly associated with phenotypes. Feature selection is an NP-hard problem.

Constraint programming based biomarker optimization.

Efficient and intuitive characterization of biological big data is becoming a major challenge for modern bio-OMIC based scientists. Interactive visualization and exploration of big data is proven to be one of the successful solutions. Most of the existing feature selection algorithms do not allow the interactive inputs from users in the optimizing process of feature selection.