Inhibition of autophagy attenuates cognitive decline and mitochondrial dysfunction in an Alzheimer's disease mouse model with chronic cerebral hypoperfusion.

This study aimed to investigate the impact of chronic cerebral hypoperfusion (CCH) on cognitive function, amyloid-β (Aβ) deposition, cellular autophagy, and mitochondrial dynamics in an Alzheimer's disease (AD) mouse model, and to evaluate the intervention effects of autophagy modulation on these outcomes. Utilizing the APP/PS1 mouse model combined with CCH, we assessed cognitive function, Aβ deposition, and the expression levels of relevant proteins through behavioral tests and immunohistochemical analysis. Our findings revealed pronounced cognitive deficits and increased Aβ deposition in the AD + CCH group mice, along with upregulation of mitochondrial fission proteins (Drp1, Fis1) and downregulation of mitochondrial fusion proteins (Opa1, Mfn1), indicating a shift towards mitochondrial fission and promoting cell apoptosis.

The D-Dimer to Albumin Ratio Could Predict Hospital Readmission Within One Year in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Purpose: To explore the association of D-dimer-to-albumin ratio (DAR) with hospital readmission within one year in patients with acute exacerbation chronic obstructive pulmonary disease (AECOPD).

Patients And Methods: From January 2019 to October 2022, 509 patients with COPD were enrolled in Baise People's Hospital for this retrospective cohort study. Baseline data and blood samples were collected, and patients were followed up for one year after inclusion.

LINC00894 targets Annexin A2 to regulate oxaliplatin resistance in hepatocellular carcinoma: ANXA2 protein function.

To investigate the role of LINC00894 in oxaliplatin chemoresistance of hepatocellular carcinoma (HCC) and its mechanisms. The oxaliplatin-resistant HCC cell lines were established. IC50 of oxaliplatin was calculated by CCK-8 assay.

A case report of systemic lupus erythematosus complicating interstitial lung disease and thickened pericardium treated with tofacitinib.

Rationale: Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that damages multiple organs and systems, including the lungs, kidneys, and heart. The respiratory system is commonly affected by SLE, leading to problems such as pleurisy, pleural effusion, and interstitial lung disease (ILD). In addition, SLE can involve the heart, with pericarditis being the most common manifestation.

New sagittal abdominal diameter and transverse abdominal diameter based equations to estimate visceral fat area in type 2 diabetes patients.

Objective: Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) are considered gold standards for measuring visceral fat area (VFA). However, their relatively high prices and potential radiation exposure limit their widespread use in clinical practice and everyday life. Therefore, our study aims to develop a VFA estimated equation based on sagittal abdominal diameter (SAD) and transverse abdominal diameter (TAD) using anthropometric indexes.

Effects of multidisciplinary team continuous care model on psychological behavior and quality of life in children with β-thalassemia major.

Objective: To explore the effects of a multidisciplinary team (MDT) continuous care model on psychological behavior and quality of life in children with β-thalassemia major (β-TM).

Methods: A retrospective study was conducted on 90 children with β-TM who were hospitalized in the Department of Pediatrics, Affiliated Hospital of Youjiang Medical University for Nationalities from October 2021 to May 2022. According to nursing methods, the children were divided into a routine group and an experimental group, with 45 cases in each group.

Improving predictions: Enhancing in-hospital mortality forecast for ICU patients with sepsis-induced coagulopathy using a stacking ensemble model.

The incidence of sepsis-induced coagulopathy (SIC) is high, leading to increased mortality rates and prolonged hospitalization and intensive care unit (ICU) stays. Early identification of SIC patients at risk of in-hospital mortality can improve patient prognosis. The objective of this study is to develop and validate machine learning (ML) models to dynamically predict in-hospital mortality risk in SIC patients.

Enhancing predictions with a stacking ensemble model for ICU mortality risk in patients with sepsis-associated encephalopathy.

Objective: We identified predictive factors and developed a novel machine learning (ML) model for predicting mortality risk in patients with sepsis-associated encephalopathy (SAE).

Methods: In this retrospective cohort study, data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU Collaborative Research Database were used for model development and external validation. The primary outcome was the in-hospital mortality rate among patients with SAE; the observed in-hospital mortality rate was 14.

A dual RPA-LFD assay for the simultaneous detection of and .

was one of the most common bacteria that caused foodborne illness, with () and () infections accounting for more than 75% of human salmonella infections. In this study, we developed a method of dual recombinase polymerase amplification (RPA) combined with a lateral flow dipstick for the rapid detection of and in clinical specimens (stool). The entire reaction process, including amplification and result reading, could be completed within 65 min.

Differentiation of testicular seminomas from nonseminomas based on multiphase CT radiomics combined with machine learning: A multicenter study.

Background: Differentiating seminomas from nonseminomas is crucial for formulating optimal treatment strategies for testicular germ cell tumors (TGCTs). Therefore, our study aimed to develop and validate a clinical-radiomics model for this purpose.

Methods: In this study, 221 patients with TGCTs confirmed by pathology from four hospitals were enrolled and classified into training (n = 126), internal validation (n = 55) and external test (n = 40) cohorts.

The impact of different antibiotic injection regimens on patients with severe infections: A meta-analysis.

Severe infection is a critical health threat to humans, and antibiotic treatment is one of the main therapeutic approaches. Nevertheless, the efficacy of various antibiotic injection regimens in severe infection patients remains uncertain. This study aimed to comprehensively evaluate the impact of various antibiotic injection strategies on patients with severe infection through a meta-analysis.

Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study.

Objective: To develop an ultrasound-driven clinical deep learning radiomics (CDLR) model for stratifying the risk of testicular masses, aiming to guide individualized treatment and minimize unnecessary procedures.

Methods: We retrospectively analyzed 275 patients with confirmed testicular lesions (January 2018 to April 2023) from two hospitals, split into training (158 cases), validation (68 cases), and external test cohorts (49 cases). Radiomics and deep learning (DL) features were extracted from preoperative ultrasound images.

Disease Burden of Colorectal Cancer in China from 1990 to 2019: Age- and Sex-Specific Time Trends and 10-Year Forecast.

Introduction: Colorectal cancer (CRC) is the third most prevalent malignant tumor worldwide and the second leading cause of cancer-related death. This study aimed at reporting the disease burden of CRC in China from 1990 to 2019 and predicting the trend of mortality burden over the next 10 years.

Methods: The age-period-cohort model was implemented to analyze the trends of mortality from CRC in China from 1990 to 2019, and the autoregressive integrated moving average (ARIMA) model was used to predict the trends of CRC incidence and mortality from 2020 to 2029.

Development of IL-17A inhibitor-induced atopic dermatitis-like rash in psoriasis patients: Insights into immune shift.

Cases of atopic dermatitis (AD)-like rash induced by IL-17A inhibitor secukinumab treatment (SI-AD) have been recently reported in psoriasis patients. To identify immune and inflammatory factors expression in SI-AD. A panel of 15 immune and inflammatory factors in peripheral blood samples from various groups, including patients with patients with SI-AD, psoriasis with secukinumab (S-stable), advanced psoriasis patients (Advanced) and healthy controls (HC).

Intravascular ultrasonography assisted carotid artery stenting for treatment of carotid stenosis: Two case reports.

Background: Digital subtraction angiography (DSA), the gold standard of cerebrovascular disease diagnosis, is limited in its diagnostic ability to evaluate arterial diameter. Intravascular ultrasonography (IVUS) has advantages in assessing stenosis and plaque nature and improves the evaluation and effectiveness of carotid artery stenting (CAS).

Case Summary: Case 1: A 65-year-old man presented with a five-year history of bilateral lower limb weakness due to stroke.

Development and validation of a diagnostic model to differentiate spinal tuberculosis from pyogenic spondylitis by combining multiple machine learning algorithms.

This study focused on the development and validation of a diagnostic model to differentiate between spinal tuberculosis (STB) and pyogenic spondylitis (PS). We analyzed a total of 387 confirmed cases, out of which 241 were diagnosed with STB and 146 were diagnosed with PS. These cases were randomly divided into a training group (n = 271) and a validation group (n = 116).

Association of survivin positive circulating tumor cell levels with immune escape and prognosis of osteosarcoma.

Purpose: Function of survivin protein (encoded by BIRC5) in circulating tumor cells (CTCs) of osteosarcoma (OS) has not been investigated. The goal of this study is to determine whether the expression of survivin protein of CTCs is associated with circulating immune cell infiltration and disease prognosis of OS.

Methods: Blood samples of 20 patients with OS were collected.

Long non-coding RNA and circular RNA and coding RNA profiling of plasma exosomes of osteosarcoma by RNA seq.

Osteosarcoma (OS) is a primary bone tumor with high malignancy and the mechanism of hematogenous metastasis in OS is still not clear. The plasma exosomes derived from osteosarcoma play a key role in the process of tumor metastasis. Here, we established RNA-seq dataset for lncRNAs, circRNAs and mRNAs in plasma exosomes from 10 OS patients and 5 healthy donors.