Metabolic phenotypes and fatty acid profiles associated with histopathology of primary aldosteronism.

Primary aldosteronism (PA) caused by aldosterone hypersecretion is treated by adrenalectomy or medications. Histopathologic examination of resected adrenals reveals diverse histopathologic features. This study aimed to investigate the potential association of peripheral and adrenal tissue metabolic profiles with the histopathologic features of PA.

Evaluation of Inflammatory Markers in Patients with COVID-19 Combined with Type 2 Diabetes Mellitus.

Purpose: To explore the value of different inflammatory markers in predicting the severity of coronavirus disease 2019 (COVID-19) in patients with type 2 diabetes mellitus (T2DM).

Patients And Methods: A total of 116 patients with COVID-19 in patients with T2DM were collected from December 2022 to March 2023 and were divided into a mild case group (77 cases) and a severe case group (39 cases). The ratio of neutrophil to lymphocyte (NLR), platelet-to-lymphocyte ratio (PLR), neutrophil to lymphocyte × platelet ratio (NLPR), lymphocyte ratio to monocyte (LMR), systemic inflammatory response index (SIRI), systemic inflammatory index (SII), systemic inflammatory composite index (AISI), procalcitonin (PCT), C-reactive protein (CRP) and lactate dehydrogenase (LDH) were compared between the two groups.

Sugarcane disease recognition through visible and near-infrared spectroscopy using deep learning assisted continuous wavelet transform-based spectrogram.

Utilizing visible and near-infrared (Vis-NIR) spectroscopy in conjunction with chemometrics methods has been widespread for identifying plant diseases. However, a key obstacle involves the extraction of relevant spectral characteristics. This study aimed to enhance sugarcane disease recognition by combining convolutional neural network (CNN) with continuous wavelet transform (CWT) spectrograms for spectral features extraction within the Vis-NIR spectra (380-1400 nm) to improve the accuracy of sugarcane diseases recognition.

Exploring the potential mechanism of Chinese herbal medicine Fuzi on aplastic anemia based on UHPLC-MS/MS method combined with network pharmacology and molecular docking.

To reveal the potential mechanism of the effect of Chinese Herbal Medicine Fuzi on Aplastic anaemia (AA) according to the network pharmacology approach and molecular docking. According to Ultra High Performance Liquid Chromatography Mass Spectrometry (UHPLC-MS/MS), 146 chemical ingredients of Fuzi were obtained. By SwissADME online system analysis, a total of 55 compounds such as Magnoflorine, Scutellarein, Luteolin and Gingerol may be the main active components of Fuzi and 145 common targets related to AA were predicted.

Zero-shot stance detection based on multi-expert collaboration.

Zero-shot stance detection is pivotal for autonomously discerning user stances on novel emerging topics. This task hinges on effective feature alignment transfer from known to unseen targets. To address this, we introduce a zero-shot stance detection framework utilizing multi-expert cooperative learning.

Transformative skeletal motion analysis: optimization of exercise training and injury prevention through graph neural networks.

Introduction: Exercise is pivotal for maintaining physical health in contemporary society. However, improper postures and movements during exercise can result in sports injuries, underscoring the significance of skeletal motion analysis. This research aims to leverage advanced technologies such as Transformer, Graph Neural Networks (GNNs), and Generative Adversarial Networks (GANs) to optimize sports training and mitigate the risk of injuries.

Low plasma renin activity is associated with "Apparently" idiopathic atrial fibrillation.

Background: Previous studies have reported the direct or indirect relationship between the renin-angiotensin-aldosterone system (RAAS) and atrial fibrillation (AF). However, in patients with "apparently" idiopathic AF without possible external influence, whether RAAS is dysregulated at an early stage of AF and its relationship with the recurrence of AF after ablation have not been studied.

Methods: This single-center, prospective, case-control study included apparently healthy individuals with AF (the case group) or paroxysmal supraventricular tachycardia (PSVT, the control group) referred for catheter ablation at the same period.

A Prospective Observational Study of Factors Affecting the Change in Quality of Life in Patients With Primary Aldosteronism After Treatment.

Objective: To explore the changes in the health-related quality of life (HRQoL) in patients with primary aldosteronism (PA) after standardized treatment and determine the effects of different variables on the change in the HRQoL of patients.

Methods: A total of 116 patients with PA were prospectively included from November 2020 to March 2022. Data were collected at their initial diagnosis and the follow-up after 12 months of treatment, including demographic and clinical data and the scores of the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36).

Detecting leptin receptor mutation in Zucker rats with tetra-primer amplification-refractory mutation system (ARMS)-PCR.

Due to the genetic mutation () in the gene encoding for leptin receptor, homozygous Zucker rats () develop excessive adiposity and become an experimental animal model in obesity and metabolic-related diseases research. Based on tetra-primer amplification refractory mutation system-polymerase chain reaction (ARMS-PCR), we developed a method to quickly genotype Zucker rats with a mutated allele from their wildtype littermates. The three genotypes are clearly discriminated on 2.

Visible and near-infrared spectroscopic determination of sugarcane chlorophyll content using a modified wavelength selection method for multivariate calibration.

Spectroscopy in the visible and near-infrared region (Vis-NIR) region has proven to be an effective technique for quantifying the chlorophyll contents of plants, which serves as an important indicator of their photosynthetic rate and health status. However, the Vis-NIR spectroscopy analysis confronts a significant challenge concerning the existence of spectral variations and interferences induced by diverse factors. Hence, the selection of characteristic wavelengths plays a crucial role in Vis-NIR spectroscopy analysis.

A novel clinical-imaging nomogram for predicting primary aldosteronism in patients with hypertension.

This study aimed to develop and validate the accuracy of a clinical-imaging index nomogram in predicting primary aldosteronism (PA) in patients with hypertension. This case-control study enrolled 404 hypertension patients in the First Affiliated Hospital of Nanjing Medical University, China, from April 2017 to September 2021. The patients were randomly divided into the training set (n = 283, 70%) and the validation set (n = 121, 30%).

Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm.

Wavelength selection is crucial to the success of near-infrared (NIR) spectroscopy analysis as it considerably improves the generalization of the multivariate model and reduces model complexity. This study proposes a new wavelength selection method, interval flower pollination algorithm (iFPA), for spectral variable selection in the partial least squares regression (PLSR) model. The proposed iFPA consists of three phases.

New approach for sugarcane disease recognition through visible and near-infrared spectroscopy and a modified wavelength selection method using machine learning models.

The proliferation of pathogenic fungi in sugarcane crops poses a significant threat to agricultural productivity and economic sustainability. Early identification and management of sugarcane diseases are therefore crucial to mitigate the adverse impacts of these pathogens. In this study, visible and near-infrared spectroscopy (380-1400 nm) combined with a novel wavelength selection method, referred to as modified flower pollination algorithm (MFPA), was utilized for sugarcane disease recognition.

Robust Weak Antilocalization Effect Up to ∼120 K in the van der Waals Crystal FeGeTe with Near-Room-Temperature Ferromagnetism.

The van der Waals FeGeTe is a 3d ferromagnetic metal with a high Curie temperature of 275 K. We report herein the observation of an exceptional weak antilocalization (WAL) effect that can persist up to 120 K in an FeGeTe nanoflake, indicating the dual nature with both itinerant and localized magnetism of 3d electrons. The WAL behavior is characterized by the magnetoconductance peak around zero magnetic field and is supported by the calculated localized nondispersive flat band around the Fermi level.

is a New Prognostic Biomarker in Hepatocellular Carcinoma.

Background: Hepatocellular carcinoma (HCC) is one of the most common type of cancers, but there is still a lack of known biomarkers for the effective diagnosis or prognosis of HCC. Myristoylated alanine-rich C-kinase substrate (MARCKS) is a substrate of protein kinase C, which was located in the cell plasma membrane. The purpose of our study was to evaluate the role of MARCKS in HCC.

The biological functions of protein S-sulfhydration in eukaryotes and the ever-increasing understanding of its effects on bacteria.

As a critical endogenous signaling molecule, hydrogen sulfide may induce reversible post-translational modifications on cysteine residues of proteins, generating a persulfide bond known as S-sulfhydration. A systemic overview of the biofunctions of S-sulfhydration will equip us better to characterize its regulatory roles in antioxidant defense, inflammatory response, and cell fate, as well as its pathological mechanisms related to cardiovascular, neurological, and multiple organ diseases, etc. Nevertheless, the understanding of S-sulfhydration is mostly built on mammalian cells and animal models.

Neutrophil extracellular traps: A novel target for the treatment of stroke.

Stroke is a threatening cerebrovascular disease caused by thrombus with high morbidity and mortality rates. Neutrophils are the first to be recruited in the brain after stroke, which aggravate brain injury through multiple mechanisms. Neutrophil extracellular traps (NETs), as a novel regulatory mechanism of neutrophils, can trap bacteria and secret antimicrobial molecules, thereby degrading pathogenic factors and killing bacteria.

Light-Induced Tunable Ferroelectric Polarization in Dipole-Embedded Metal-Organic Framework.

Reversible regulation of ferroelectric polarization possesses great potentials recently in bionic neural networks. Photoinduced cis-trans isomers have changeable dipole moments, but they cannot be directed to some specific orientation. Here, we construct a host-guest composite structure which consists of a porous ferroelectric metal (Ni)-organic framework [Ni(DPA)] as host and photoisomer, azobenzene (AZB), as guest molecules.

The Influence of Repeated Drop Jump Training on Countermovement Jump Performance.

Countermovement jump (CMJ) is used to assess athletic performance of the lower limbs. Drop jump (DJ) is an effect training method that can improve athlete's jumping performance. The main purpose of this study is to explore the effects of different drop jump heights (DJH)30, DJH40, and DJH50 cm for 250 drop jumps (DJs250) on CMJ.

Long-term administration of salvianolic acid A promotes endogenous neurogenesis in ischemic stroke rats through activating Wnt3a/GSK3β/β-catenin signaling pathway.

Stroke is the major cause of death and disability worldwide. Most stroke patients who survive in the acute phase of ischemia display various extents of neurological deficits. In order to improve the prognosis of ischemic stroke, promoting endogenous neurogenesis has attracted great attention.

Prognostic value of miR-1181 in non-small cell lung cancer and its regulatory effect on tumor progression.

Non-small cell lung cancer (NSCLC) is one of the most important causes of cancer-related death. miR-1181 has been reported to have roles in various cancer types and its function in the progression of NSCLC was investigated in the present study. A total of 118 patients with NSCLC were recruited and their tumor tissues were collected.

Five circRNAs Serve as Potential Diagnostic and Prognostic Biomarkers in Lung Adenocarcinoma.

Background: The mortality rate of lung adenocarcinoma ranks first worldwide, higher than gastric, colorectal, breast, and other cancers. The lack of effective and accurate diagnosis contributes to the patient's unfavorable prognosis with lung adenocarcinoma since most patients are diagnosed at a late stage. In the present study, we aimed to investigate five circRNAs correlated with lung adenocarcinoma and their clinical roles.

Hypoxia-inducible factor-1: Regulatory mechanisms and drug development in stroke.

Stroke is an acute cerebrovascular disease caused by sudden rupture of blood vessels in the brain or blockage of blood vessels, which has now become one of the main causes of adult death. During stroke, hypoxia-inducible factor-1 (HIF-1), as an important regulator under hypoxia conditions, is involved in the pathological process of stroke by regulating multi-pathways, such as glucose metabolism, angiogenesis, erythropoiesis, cell survival. However, the roles of HIF-1 in stroke are still controversial, which are related with ischemic time and degree of ischemia.