Caps-ac4C: An effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning.

N4-acetylcytidine (ac4C) is a crucial post-transcriptional modification in human mRNA, involving the acetylation of the nitrogen atom at the fourth position of cytidine. This modification, catalyzed by N-acetyltransferases such as NAT10, is primarily found in mRNA's coding regions and enhances translation efficiency and mRNA stability. ac4C is closely associated with various diseases, including cancer.

StackDILI: Enhancing Drug-Induced Liver Injury Prediction through Stacking Strategy with Effective Molecular Representations.

Drug-induced liver injury (DILI) is a major challenge in drug development, often leading to clinical trial failures and market withdrawals due to liver toxicity. This study presents StackDILI, a computational framework designed to accelerate toxicity assessment by predicting DILI risk. StackDILI integrates multiple molecular descriptors to extract structural and physicochemical features, including the constitution, pharmacophore, MACCS, and E-state descriptors.

DeepKlapred: A deep learning framework for identifying protein lysine lactylation sites via multi-view feature fusion.

Lysine lactylation (Kla) is a post-translational modification (PTM) that holds significant importance in the regulation of various biological processes. While traditional experimental methods are highly accurate for identifying Kla sites, they are both time-consuming and labor-intensive. Recent machine learning advances have enabled computational models for Kla site prediction.

Bibliometric Analysis of Hot Trends and Future Prospects in Clinical Fat Research from 2014 to 2023.

Background: Significant advancements have been made in the field of clinically relevant fat research over the past decade. A systematic analysis of publications in this domain is essential. This study aims to identify research hotspots and evolving trends in clinically relevant adipose tissue research through bibliometric analysis.

dbAMP 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era.

Antimicrobial resistance is one of the most urgent global health threats, especially in the post-pandemic era. Antimicrobial peptides (AMPs) offer a promising alternative to traditional antibiotics, driving growing interest in recent years. dbAMP is a comprehensive database offering extensive annotations on AMPs, including sequence information, functional activity data, physicochemical properties and structural annotations.

ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.

Cancer is a severe illness that significantly threatens human life and health. Anticancer peptides (ACPs) represent a promising therapeutic strategy for combating cancer. In silico methods enable rapid and accurate identification of ACPs without extensive human and material resources.

Smart Dressings and Their Applications in Chronic Wound Management.

During chronic wound healing, the inflammatory phase can endure for extended periods, heavily impeding or halting the process. Regular inspections and dressing changes are crucial. Modern dressings like hydrogels, hydrocolloids, and foam provide protection and an optimal healing environment.

Recent Progress in Mesenchymal Stem Cell-Derived Exosomes for Skin Wound Repair.

Background: Exosomes are nanometer-sized, lipid bilayer membrane vesicles that are secreted by various cell types. Mesenchymal stem cells (MSCs) have been shown to exert therapeutic effects through the secretion of exosomes via a paracrine pathway. Functions: Recent studies have demonstrated that MSC-derived exosomes (MSC-Exos) can effectively transport various bioactive substances, including proteins, mRNAs, microRNAs, long non-coding RNAs, circular RNAs, and lipids, into target cells.

A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.

Antiviral peptides (AVPs) have shown potential in inhibiting viral attachment, preventing viral fusion with host cells and disrupting viral replication due to their unique action mechanisms. They have now become a broad-spectrum, promising antiviral therapy. However, identifying effective AVPs is traditionally slow and costly.

Predicting Anti-inflammatory Peptides by Ensemble Machine Learning and Deep Learning.

Inflammation is a biological response to harmful stimuli, aiding in the maintenance of tissue homeostasis. However, excessive or persistent inflammation can precipitate a myriad of pathological conditions. Although current treatments such as NSAIDs, corticosteroids, and immunosuppressants are effective, they can have side effects and resistance issues.

Hsa_circ_0000285-Mediated miR-599/RGS17 Axis Participates in the Pathogenesis of Abdominal Aortic Aneurysm by Regulating the Functions of Vascular Smooth Muscle Cells.

Objective: Abdominal aortic aneurysm (AAA) is characterized by vascular smooth muscle cell (VSMC) injury. Circ_0000285 has been declared to drive cancer development, but its role in AAA remains unclear. We thus intended to disclose circ_0000285's role and molecular mechanism in AAA.

Elevated ADAM-like Decysin-1 (ADAMDEC1) expression is associated with increased chemo-sensitivity and improved prognosis in breast cancer patients.

Background: Chemoresistance is problematic and its mechanisms are unclear in breast cancer. More predictive markers are urgently required.

Methods: GSE32646, GSE34138, and GSE20271 were downloaded from the Gene Expression Omnibus (GEO) database to identify differentially expressed genes (DEGs) between chemosensitive and chemoresistant tumors.

A THD-Based Fault Protection Method Using MSOGI-FLL Grid Voltage Estimator.

The rapid growth of the distributed generators (DGs) integration into the distribution systems (DSs) creates new technical issues; conventional relay settings need to be updated depending on the network topology and operational mode as fault protection a major challenge. This emphasizes the need for new fault protection methods to ensure secure protection and prevent undesirable tripping. Total harmonic distortion (THD) is an important indicator for assessing the quality of the grid.

Soluble CD163 and CD163 Expression on Monocytes Associated with Chronic Hepatitis B Inflammation and HBsAg Loss.

Background And Aims: Monocyte/macrophage-associated CD163 is an indicator of the severity of liver inflammation and cirrhosis, but the difference of soluble CD163 (sCD163) levels in chronic hepatitis B (CHB) patients and hepatitis B surface antigen (HBsAg)-loss patients is unclear. Herein, we aimed to compare the sCD163 levels in CHB patients and HBsAg-loss patients with or without antiviral treatment.

Methods: sCD163 and CD163 expression on monocytes were compared among four groups, healthy subjects, treatment-naïve CHB patients, spontaneous HBsAg-loss patients, and treatment-related HBsAg-loss patients.

Protective Role of Rheumatic Diseases Against Hepatitis B Virus Infection and Human Leukocyte Antigen B27 Highlighted.

Background: By determining the hepatitis B virus (HBV) surface antigen (HBsAg) positive rate postexposure and HBV-specific antigen/antibody (Ag/Ab) level in patients with rheumatic diseases, we aimed at exploring the rheumatic link to HBV control.

Methods: Patients who underwent HBV screening in the Ruijin Hospital from 2020 to 2021 were enrolled for the exposure rate estimation. Among antibody to HBV core antigen (HBcAb)-positive patients, we adopted propensity score matching (PSM) to study the impact of rheumatism on HBsAg seroprevalence after exposure.

Hepatitis B virus middle surface antigen loss promotes clinical variant persistence in mouse models.

Hepatitis B virus (HBV) middle surface antigen (MHBs) mutation or deletion occurs in patients with chronic HBV infection. However, the functional role of MHBs in HBV infection is still an enigma. Here, we reported that 7.

CaMK4 is a downstream effector of the α T-type calcium channel to determine the angiogenic potential of pulmonary microvascular endothelial cells.

Pulmonary microvascular endothelial cells (PMVECs) uniquely express an α-subtype of voltage-gated T-type Ca channel. We have previously revealed that the α channel functions as a background Ca entry pathway that is critical for the cell proliferation, migration, and angiogenic potential of PMVECs, a novel function attributed to the coupling between α-mediated Ca entry and constitutive Akt phosphorylation and activation. Despite this significance, mechanism(s) that link the α-mediated Ca entry to Akt phosphorylation remain incompletely understood.

Necrostatin-1, RIP1/RIP3 inhibitor, relieves transforming growth factor β-induced wound-healing process in formation of hypertrophic scars.

Background: Hypertrophic scars (HS) are common pathologic processes emerged during wound-healing process. The receptor-interacting protein kinase (RIP) might participate in keloid formation.

Aims: This study aimed to investigate Necrostatin-1 (Nec-1), a RIP1/RIP3 inhibitor, in the formation of hypertrophic scar.

Prognostic value of anti-HBc quantification in hepatitis B virus related acute-on-chronic liver failure.

Background And Aim: It has been reported that serum quantification of anti-HBc (qAnti-HBc) could predict antiviral response in chronic hepatitis B (CHB) patients, while its role in hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) remains unclear. Its implication in HBV-ACLF was evaluated in this study.

Methods: Baseline serum qAnti-HBc levels were retrospectively detected in HBV-ACLF and CHB patients using recently developed double-sandwich immunoassay.

An integrative pan-cancer analysis of COPB1 based on data mining.

Background: Cancer will become the leading cause of death worldwide in the 21st century, meanwhile, immunotherapy is the most popular cancer treatment method in recent years. COPI Coat Complex Subunit Beta 1 (COPB1) relates to human innate immunity. However, the role of COPB1 in pan-cancer remains unclear.

Inhibition of miR-221 alleviates LPS-induced acute lung injury via inactivation of SOCS1/NF-κB signaling pathway.

The role of inflammation response has been well documented in the development of acute lung injury (ALI). However, little is known about the functions of miRNAs in the regulation of inflammation in ALI. The aim of this study was to explore the effects of miRNAs in the regulation of inflammation in ALI and to elucidate the biomolecular mechanisms responsible for these effects.

α T-type calcium channel determines the angiogenic potential of pulmonary microvascular endothelial cells.

Pulmonary microvascular endothelial cells (PMVECs) display a rapid angioproliferative phenotype, essential for maintaining homeostasis in steady-state and promoting vascular repair after injury. Although it has long been established that endothelial cytosolic Ca ([Ca]) transients are required for proliferation and angiogenesis, mechanisms underlying such regulation and the transmembrane channels mediating the relevant [Ca] transients remain incompletely understood. In the present study, the functional role of the microvascular endothelial site-specific α T-type Ca channel in angiogenesis was examined.