Gen-17, a beta-methyl derivative of Genipin, attenuates LPS-induced ALI by regulating Keap1-Nrf2/HO-1 and suppressing NF-κB and MAPK-dependent signaling pathways.

Background And Objective: Acute lung injury (ALI) represents a complicated and debilitating pulmonary disorder for which therapeutic options are currently limited. Genipin is an aglycone derived from the geniposide, the most abundant iridoid glucoside constituent of Gardenia jasminoides Ellis, and has demonstrated beneficial effects in ALI. The objective of this study was to investigate the protective effect of Gen-17, a beta-methyl derivative of genipin, against ALI in vitro and in vivo, and explore its mechanism of action.

Clinical characteristics and aetiological analysis of combined central and pulmonary cryptococcal infection: Clinical cases.

This paper presents a summary of seven cases of combined pulmonary and central cryptococcal infection and analyses of their clinical features, treatment and prognosis. No clear correlation was identified between the intracranial cryptococcal capsular antigen titre and either the intracranial pressure or the amount of protein in the cerebrospinal fluid. Pulmonary lesions may develop in any of the lung lobes and manifest in multiple forms.

Enhanced osteogenic differentiation in 3D hydrogel scaffold via macrophage mitochondrial transfer.

To assess the efficacy of a novel 3D biomimetic hydrogel scaffold with immunomodulatory properties in promoting fracture healing. Immunomodulatory scaffolds were used in cell experiments, osteotomy mice treatment, and single-cell transcriptomic sequencing. In vitro, fluorescence tracing examined macrophage mitochondrial transfer and osteogenic differentiation of bone marrow-derived mesenchymal stem cells (BMSCs).

Improved stacking ensemble learning based on feature selection to accurately predict warfarin dose.

Background: With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear and nonlinear problems, traditional machine learning algorithms are ineffective to solve such problems at one time.

Objective: Based on the characteristics of clinical data of Chinese warfarin patients, an improved stacking ensemble learning can achieve higher prediction accuracy.

Contamination of personal protective equipment and environmental surfaces in Fangcang shelter hospitals.

Background: Fangcang shelter hospitals emerged as a new public health concept after COVID-19. Data regarding contamination of Fangcang shelter environments remains scarce. This study aims to investigate the extent of SARS-CoV-2 contamination on personal protective equipment and surfaces in Fangcang hospitals.

Prevalence and risk factors of trimethoprim/sulfamethoxazole-related acute kidney injury in pediatric patients: an observational study from a public database.

Background: Trimethoprim/sulfamethoxazole (TMP/SMZ) is widely used in various clinical settings. Studies have revealed that it may cause acute kidney injury (AKI) in adults. However, the correlation between the use of TMP/SMZ and renal injury in pediatric patients is still unclear.

A retrospective study on the evaluation of the appropriateness of oral anticoagulant therapy for patients with atrial fibrillation.

Background: The incidence of atrial fibrillation (AF) is increasing, and effective anticoagulation therapy can prevent adverse events. Selecting the appropriate OAC based on patient characteristics has become a challenge. Interventions are going to be a potential area of focus.

Predictors of mortality in adult patients with methicillin-resistant Staphylococcus aureus bloodstream infection: a meta-analysis and systematic review.

Background: Cases of methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection have been increasing. Patients with MRSA bloodstream infection have a poor prognosis and high mortality rate. Identification of potential risk factors associated with MRSA bloodstream infection-related mortality may help improve patient outcomes.

Predictors of mortality in patients with carbapenem-resistant Klebsiella pneumoniae infection: a meta-analysis and a systematic review.

Background: Cases of carbapenem-resistant Klebsiella pneumoniae infection have been increasing. Patients with carbapenem-resistant Klebsiella pneumoniae infection have a poor prognosis and a high mortality rate. Identification of potential risk factors associated with carbapenem-resistant Klebsiella pneumoniae infection-related mortality may help improve patient outcomes.

Rationale and design of a prospective, multicenter, cross-sectional study of appropriateness evaluation of the prescription of non-vitamin K antagonist oral anticoagulants for Chinese atrial fibrillation patients (Chi-NOACs-AF trial).

Background: Non-vitamin K antagonist oral anticoagulants (NOACs) are alternative to vitamin K antagonists (VKAs) for stroke prevention in patients with atrial fibrillation (AF). Along with their widespread clinical use in China, the off-label use of NOACs is commonly seen in real-world practice, which could result in adverse drug events and poor clinical outcomes. However, guideline adherence and label adherence for NOAC prescriptions have not been well evaluated in a real-world setting in China.

Improving Pulmonary Infection Diagnosis with Metagenomic Next Generation Sequencing.

Pulmonary infections are among the most common and important infectious diseases due to their high morbidity and mortality, especially in older and immunocompromised individuals. However, due to the limitations in sensitivity and the long turn-around time (TAT) of conventional diagnostic methods, pathogen detection and identification methods for pulmonary infection with greater diagnostic efficiency are urgently needed. In recent years, unbiased metagenomic next generation sequencing (mNGS) has been widely used to detect different types of infectious pathogens, and is especially useful for the detection of rare and newly emergent pathogens, showing better diagnostic performance than traditional methods.

Infection within 2 weeks before liver transplantation closely related to prognosis of posttransplant infection: A single-center retrospective observational study in China.

Background: Infections still represent the main factors influencing morbidity and mortality following liver transplantation. This study aimed to evaluate the incidence and risk factors for infection and survival after liver transplantation.

Methods: We retrospectively examined medical records in 210 liver recipients who underwent liver transplantation between April 2015 and October 2017 in our hospital.

Rapid detection of respiratory organisms with FilmArray respiratory panel and its impact on clinical decisions in Shanghai, China, 2016-2018.

Background: In this study, we evaluated the diagnostic potential and clinical impact of an automated multiplex PCR platform (the FilmArray Respiratory Panel; FA-RP), specially designed for pathogen detection in respiratory tract infections in adults with unexplained pneumonia (UP).

Methods: A total of 112 UP patients in Shanghai, China, were enrolled prospectively and assessed using the FA-RP from October 2016 to March 2018. We examined the test results and their influence on clinical decisions.

Clinical Evaluation of Diagnosis Efficacy of Active Complex Infection via Metagenomic Next-Generation Sequencing of Direct Clinical Samples.

Tuberculosis (TB) is now the leading cause of death from infectious disease. Rapid screening and diagnostic methods for TB are urgently required. Rapid development of metagenomics next-generation sequencing (mNGS) in recent years showed promising and satisfying application of mNGS in several kinds of infectious diseases.

Rapid and precise diagnosis of disseminated T.marneffei infection assisted by high-throughput sequencing of multifarious specimens in a HIV-negative patient: a case report.

Background: Talaromyces marneffei, is an opportunistic pathogenic fungus that is most commonly reported in Southeast Asia and disseminated T.marneffei infection predominantly occurs in patients with immunodeficiency. With a potential to invade multiple organs, it can be fatal for patients if diagnosis and treatment are delayed.

A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images.

Objective: With the fast development of artificial intelligence techniques, we proposed a novel two-stage multi-view learning framework for the contrast-enhanced ultrasound (CEUS) based computer-aided diagnosis for liver tumors, which adopted only three typical CEUS images selected from the arterial phase, portal venous phase and late phase.

Materials And Methods: In the first stage, the deep canonical correlation analysis (DCCA) was performed on three image pairs between the arterial and portal venous phases, arterial and delayed phases, and portal venous and delayed phases respectively, which then generated total six-view features. While in the second stage, these multi-view features were then fed to a multiple kernel learning (MKL) based classifier to further promote the diagnosis result.

Human African Trypanosomiasis in Emigrant Returning to China from Gabon, 2017.

Human African trypanosomiasis is endemic to parts of sub-Saharan Africa and should be considered in the differential diagnosis of patients who have visited or lived in Africa. We report a 2017 case of stage 2 Trypanosoma brucei gambiense disease in an emigrant who returned to China from Gabon.

Multimodal Ultrasound imaging based diagnosis of liver cancers with a two-stage multi-view learning framework.

Computer-aided diagnosis (CAD) of liver cancers on contrast-enhanced ultrasound (CEUS) has attracted considerable attention in recent years. The enhancement patterns on CEUS for liver lesions consist of the arterial, portal venous and late phases. Several typical images selected from these three phases can provide reliable information basis for diagnosis of liver lesions.

CEUS-based classification of liver tumors with deep canonical correlation analysis and multi-kernel learning.

The contrast-enhanced ultrasound (CEUS) has been a widely accepted imaging modality for diagnosis of liver cancers. In clinical practice, several typical images selected from enhancement patterns of the arterial, portal venous and late phases can provide reliable information basis for diagnosis. In this work, we propose to develop a CEUS-based computer-aided diagnosis (CAD) for liver cancers with only three typical CEUS images selected from three phases, which simulates the clinical diagnosis mode of radiologists.