Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.

Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in diverse microbial species. Here we developed an AI-based, explainable deep learning model, EvoGradient, that predicts the potency of antimicrobial peptides (AMPs) and virtually modifies peptide sequences to produce more potent AMPs, akin to in silico directed evolution. We applied this model to peptides encoded in low-abundance human oral bacteria, resulting in the virtual evolution of 32 peptides into potent AMPs.

Long segment ureteral reconstruction using the prepuce: A case report.

Long segment ureteral reconstruction has always posed a challenge for surgeons. We report the case of a 49 years male patient with a right ureteral obstruction between the ileal orthotopic bladder and the ureter. The patient underwent a 12cm ureteral reconstruction with the prepuce.

Willingness to pay a premium for eco-label products in China: a mediation model based on quality value.

Sustainable consumption plays an important role in achieving sustainable development. Eco-labels can help to convey this message to consumers. In China, the new carbon label represents a new kind of sustainable eco-label; as such, the relationship between carbon labeling and consumers' willingness to pay (WTP) a premium is worth studying.

Assessment of dermal safety of petroleum ether extract from L.

(), known for its aromatic leaves and rhizomes, is extensively used in traditional medicine to treat digestive issues, inflammation, pain, anxiety, and stress. The petroleum ether extract of isolates specific bioactive compounds using petroleum ether, a nonpolar solvent effective in dissolving nonpolar plant compounds. This extract potentially offers antimicrobial, anti-inflammatory, and analgesic benefits.

SIPSC-Kac: Integrating swarm intelligence and protein spatial characteristics for enhanced lysine acetylation site identification.

Elucidation of post-translational modifications (PTMs), such as lysine acetylation (Kac), is crucial for understanding protein function and regulation. Although traditional experimental methods for identifying Kac sites are accurate, they are time-consuming and costly, leading to incomplete acetylome mapping. Computational approaches, particularly those incorporating machine learning, offer a rapid alternative, but face challenges owing to dataset imbalance, limited feature space, and the need for more effective feature-selection algorithms.

SLIT3 deficiency promotes non-small cell lung cancer progression by modulating UBE2C/WNT signaling.

In our prior research, it was noted that slit guidance ligand 3 (SLIT3), a member of the SLIT-secreted protein family, may play a potential role in tumorigenesis. In addition, our prior work has found that the SLIT3 gene is highly methylated, especially in advanced-stage lung cancer tissues. Herein, we propose the hypothesis that abnormal SLIT3 expression may be linked to lung cancer development.

Platinum-based fluorescent nanozyme-driven "loong frolic pearls" multifunctional nanoplatform for tri-mode ultrasensitive detection and synergistic sterilization of Burkholderia gladioli.

Rapid and accurate detection of Burkholderia gladioli (B. gladioli) and effective sterilization are crucial for ensuring food safety. Hence, a novel "loong frolic pearls" platform based on platinum-based fluorescent nanozymes (Pt-OCDs) and strand exchange amplification (SEA) was reported.

"Four - in - one" platform based on multifunctional nanozyme for ultra - accurate detection and on - demand disinfection of Listeria monocytogenes.

The inability to integrate detection and disinfection hindered building a unified pathogen monitoring platform, risking secondary contamination. Herein, a novel "four - in - one" platform for monitoring foodborne Listeria monocytogenes (L. monocytogenes) was presented.

Techniques and applications in 3D bioprinting with chitosan bio-inks for drug delivery: A review.

Three-dimensional bioprinting leverages computer-aided design to construct tissues and organs with specialized bioinks. A notable biomaterial for this purpose is chitosan, a natural polysaccharide sourced from crustacean exoskeletons. Chitosan's biocompatibility, biodegradability, non-toxicity, and ability to promote cell adhesion and proliferation make it an excellent component for bioinks.

Coupled relationships between landscape pattern and ecosystem health in response to urbanization.

Rapid urbanization has highlighted ecological problems in the metropolitan area, with increasing landscape fragmentation and severe threats to ecosystem health (EH). Studying the spatio-temporal coupled relationship between landscape pattern and EH and its response to urbanization in the Fuzhou metropolitan area (FMA) can provide scientific reference for its long-term development planning. We examined the coupled relationship between landscape pattern and EH and its driving mechanism in the FMA at grid and township scales to address the gap.

Syndecan-4 inhibition attenuates cartilage degeneration in temporomandibular joint osteoarthritis.

Background: Syndecan 4 (SDC4), a type I transmembrane proteoglycan, serves as a critical link between chondrocytes and the extracellular matrix.

Objective: This study aimed to explore the role of SDC4 in cartilage degeneration of temporomandibular joint osteoathritis (TMJOA).

Methods: Condylar chondrocytes were stimulated with varying concentrations of recombinant rat interleukin-1β (rrIL-1β) and SDC4 small interfering RNA (si-SDC4).

W2V-repeated index: Prediction of enhancers and their strength based on repeated fragments.

Enhancers are crucial in gene expression regulation, dictating the specificity and timing of transcriptional activity, which highlights the importance of their identification for unravelling the intricacies of genetic regulation. Therefore, it is critical to identify enhancers and their strengths. Repeated sequences in the genome are repeats of the same or symmetrical fragments.

Nonactivated Aziridine Synthesis by Intermolecular Polarity-Mismatched Carboamination of Unactivated Alkenes with Unactivated Alkyl Halides.

A general intermolecular polarity-mismatched carboamination reaction of unactivated alkenes with unactivated alkyl halides has been developed. A series of nonactivated alkyl-substituted aziridines were constructed in exclusive regioselectivity. The dual polarity-mismatched mechanism might be involved.

The alleviatory effects of koumine on MSU-induced gouty arthritis via the TLR4/NF-κB/NLRP3 pathway.

The aim of this study was to validate the preventive effects of koumine (KM), a monoterpene indole alkaloid, on gouty arthritis (GA) and to explore its possible mechanisms. C57BL/6 mice were intraperitoneally administered KM (0.8, 2.

Repetitive transcranial magnetic stimulation for post-stroke non-fluent aphasia: a systematic review and meta-analysis of randomized controlled trials.

Objective: To systematically evaluate the efficacy and safety of repetitive transcranial magnetic stimulation (rTMS) on language function in patients with non-fluent aphasia post-stroke.

Methods: We selected randomized clinical trials (RCT) that involved stroke patients with non-fluent aphasia, whose intervention was rTMS vs. no therapy or other therapy.

A ROS storm generating nanocomposite for enhanced chemodynamic therapy through HO self-supply, GSH depletion and calcium overload.

Catalytic generation of toxic hydroxyl radicals (˙OH) from hydrogen peroxide (HO) is an effective strategy for tumor treatment in chemodynamic therapy (CDT). However, the intrinsic features of the microenvironment in solid tumors, characterized by limited HO and overexpressed glutathione (GSH), severely impede the accumulation of intracellular ˙OH, posing significant challenges. To circumvent these critical issues, in this work, a CaO-based multifunctional nanocomposite with a surface coating of Cu and L-buthionine sulfoximine (BSO) (named CaO@Cu-BSO) is designed for enhanced CDT.

Tumor-associated antigen-specific cell imaging based on upconversion luminescence and nucleic acid rolling circle amplification.

Tumor-associated antigen (TAA)-based diagnosis has gained prominence for early tumor screening, treatment monitoring, prognostic assessment, and minimal residual disease detection. However, limitations such as low sensitivity and difficulty in extracting non-specific binding membrane proteins still exist in traditional detection methods. Upconversion luminescence (UCL) exhibits unique physical and chemical properties under wavelength near-infrared light excitation.

A pragmatic randomized controlled trial to evaluate the efficacy and safety of an oral short-course regimen including bedaquiline for the treatment of patients with multidrug-resistant tuberculosis in China: study protocol for PROSPECT.

Introduction: The lack of safe, effective, and simple short-course regimens (SCRs) for multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) treatment has significantly impeded TB control efforts in China.

Methods: This phase 4, randomized, open-label, controlled, non-inferiority trial aims to assess the efficacy and safety of a 9-month all-oral SCR containing bedaquiline (BDQ) versus an all-oral SCR without BDQ for adult MDR-TB patients (18-65 years) in China. The trial design mainly mirrors that of the "Evaluation of a Standardized Treatment Regimen of Anti-Tuberculosis Drugs for Patients with MDR-TB" (STREAM) stage 2 study, while also incorporating programmatic data from South Africa and the 2019 consensus recommendations of Chinese MDR/RR-TB treatment experts.

Long non-coding RNAFOXD1-AS1 modulated CTCs epithelial-mesenchymal transition and immune escape in hepatocellular carcinoma in vitro by sponging miR-615-3p.

Background: Hepatocellular carcinoma (HCC) is widely recognized as a globally prevalent malignancy. Immunotherapy is a promising therapy for HCC patients. Increasing evidence suggests that lncRNAs are involved in HCC progression and immunotherapy.

DeepSF-4mC: A deep learning model for predicting DNA cytosine 4mC methylation sites leveraging sequence features.

N-methylcytosine (4mC) is a DNA modification involving the addition of a methyl group to the fourth nitrogen atom of the cytosine base. This modification may influence gene regulation, providing potential insights into gene control mechanisms. Traditional laboratory methods for detecting 4mC DNA methylation have limitations, but the rise of artificial intelligence has introduced efficient computational strategies for 4mC site prediction.

Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.

Objectives: Anti-HER2 targeted therapy significantly reduces risk of relapse in HER2 + breast cancer. New measures are needed for a precise risk stratification to guide (de-)escalation of anti-HER2 strategy.

Methods: A total of 726 HER2 + cases who received no/single/dual anti-HER2 targeted therapies were split into three respective cohorts.

Semisupervised hyperspectral image classification based on generative adversarial networks and spectral angle distance.

Collecting ground truth labels for hyperspectral image classification is difficult and time-consuming. Without an adequate number of training samples, hyperspectral image (HSI) classification is a challenging problem. Using generative adversarial networks (GANs) is a promising technique for solving this problem because GANs can learn features from both labeled and unlabeled samples.

N6-methyladenosine of enhances the stem cell-type phenotype of cisplatin-resistant colorectal cancer cells.

Colorectal cancer (CRC), classified as a lethal form of cancer, substantially threatens human well-being. Cancer stem cells (CSCs) reflect subsets for cancerous cells having basic stem-cell type properties, being significantly involved in the development of chemoresistance and tumor relapsing. The aberrant expression in various types of cancer indicates its potential involvement in cancer growth and progression.