Altered Blood Oxygen Level-Dependent Signal Stability in the Brain of Patients with Major Depressive Disorder Undergoing Resting-State Functional Magnetic Resonance Imaging.

Introduction: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with unknown pathogenesis. Previous studies on resting-state functional magnetic resonance imaging of MDD have mostly focused on the spontaneous activity of blood oxygen level-dependent (BOLD) signals; however, a few studies have investigated BOLD signal stability.

Methods: We conducted a resting-state functional study in 42 patients with MDD and 42 healthy controls (HC) matched for age and sex.

Development of machine learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma.

The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma. We included patients who underwent craniotomy and evacuation of hematoma due to traumatic brain injury in our hospital from January 2015 to December 2020. Ten machine learning methods were selected to model prediction, including XGBoost, Logistic Regression, Light GBM, Random Forest, AdaBoost, GaussianNB, ComplementNB, Support Vector Machines, and KNeighbors.

Alterations in neural circuit dynamics between the limbic network and prefrontal/default mode network in patients with generalized anxiety disorder.

Background: Widespread functional alterations have been implicated in patients with generalized anxiety disorder (GAD). However, most studies have primarily focused on static brain network features in patients with GAD. The current research focused on exploring the dynamics within functional brain networks among individuals diagnosed with GAD.

Changed brain entropy and functional connectivity patterns induced by electroconvulsive therapy in majoy depression disorder.

Objective: Our objective is to innovatively integrate both linear and nonlinear characteristics of brain signals in Electroconvulsive Therapy (ECT) research, with the goal of uncovering deeper insights into the pathogenesis of Major Depressive Disorder (MDD) and identifying novel targets for other physical intervention therapies.

Methods: We measured brain entropy (BEN) in 42 MDD patients and 42 matched healthy controls (HC) using rs-fMRI data. Brain regions that differed significantly in patients with MDD before and after ECT were extracted.

Electroconvulsive therapy enhances degree centrality in the orbitofrontal cortex in depressive rumination.

Depressive rumination has been implicated in the onset, duration, and treatment response of refractory depression. Electroconvulsive therapy (ECT) is remarkably effective in treatment of refractory depression by modulating the functional coordination between brain hubs. However, the mechanisms by which ECT regulates depressive rumination remain unsolved.

Altered brain entropy and functional connectivity patterns in generalized anxiety disorder patients.

Background: Generalized anxiety disorder (GAD) is a highly prevalent disease characterized by chronic, pervasive, and intrusive worry. Previous resting-state functional MRI (fMRI) studies on GAD have mainly focused on conventional static linear features. Entropy analysis of resting-state functional magnetic resonance imaging (rs-fMRI) has recently been adopted to characterize brain temporal dynamics in some neuropsychological or psychiatric diseases.

Study on the Evaluation of Lung Cancer Patients from the Three Aspects of Emotion.

In recent years, epidemiological survey data have shown that lung cancer is the tumor with the fastest increase in cancer incidence and mortality in China. The incidence and mortality of lung cancer in China rank first among tumors, and 80% of patients die within one year of diagnosis. This paper aims to study the evaluation of lung cancer patients from three aspects of emotion, coping style, and Quality of Life (QoL), expounding on the changes in emotion, coping style, and QoL in lung cancer patients after chemotherapy.

Prognostic Nutritional Index and Neutrophil/Lymphocyte Ratio Can Serve as Independent Predictors of the Prognosis of Hepatocellular Carcinoma Patients Receiving Targeted Therapy.

Objective: The prognostic nutritional index (PNI) is an immunonutritional indicator, and the neutrophil/lymphocyte ratio (NLR) reflects the inflammatory status. This research intends to determine the implications of NLR and PNI in evaluating the outcome of hepatocellular carcinoma (HCC) patients undergoing targeted therapy (TT).

Methods: We retrospectively analyzed 83 patients' records with sorafenib treatment for advanced HCC in the Second Affiliated Hospital of Anhui Medical University.

Astragaloside IV suppresses migration and invasion of TGF-β-induced human hepatoma HuH-7 cells by regulating Nrf2/HO-1 and TGF-β/Smad3 pathways.

Astragaloside IV (AS-IV), one of the major compounds extract from Astragalus membranaceus, has shown attractive anti-cancer effects in certain malignancies. Oxidative stress (OS) is considered as a crucial factor in promoting the progression of hepatocellular carcinoma (HCC). In response to OS, nuclear factor erythroid 2-related factor 2 (Nrf2) upregulates and induces heme oxygenase 1 (HO-1) to combat oxidative damages.

Targeting the JAK/STAT Signaling Pathway for Breast Cancer.

Breast cancer is the most common malignant tumor in women worldwide. Traditional ways of treatment, including radiotherapy and endocrine therapy, for breast cancer have inevitable side effects. In recent decades, targeted therapies for breast cancer have rapidly advanced and shown a promising future.

Expression and characterization of recombinant human lactoferrin in edible alga Chlamydomonas reinhardtii.

Lactoferrin (LF) is a naturally occurring iron-binding glycoprotein with a variety of biological functions. It has increasing demand every year and huge market potential. In this study, we explored the feasibility of expressing human LF (hLF) in edible algae C.

Directed Evolution of Dunaliella salina Ds-26-16 and Salt-Tolerant Response in Escherichia coli.

Identification and evolution of salt tolerant genes are crucial steps in developing salt tolerant crops or microorganisms using biotechnology. , a salt tolerant gene that was isolated from , encodes a transcription factor that can confer salt tolerance to a number of organisms including (. ), and tobacco.

Research progress in physicochemical characteristics of lactoferrin and its recombinant expression systems.

Lactoferrin is an iron-binding glycoprotein with a molecular weight of about 80 kDa that belongs to the transferrin family. Due to its unique physical and chemical properties, lactoferrin has a variety of biological functions including antibacterial, antiviral, anticancer, immunomodulatory activities and regulation of iron absorption. High-yield production of recombinant lactoferrin with biological activity and its application in clinical treatment have been a hot topic for long time.