Morphological characterization of atypical pancreatic ductal adenocarcinoma with cystic lesion on DCE-CT: a comprehensive retrospective study.

Background: Pancreatic ductal adenocarcinoma (PDAC) with cystic features presents significant challenges in achieving an accurate preoperative diagnosis and in implementing appropriate clinical management. The aim of this study was to analyze the dynamic contrast-enhanced computed tomography (DCE-CT) findings of PDACs with cystic lesions and correlate them with histopathological findings.

Methods: We retrospectively reviewed 40 patients with pathology-proven PDACs exhibiting cystic lesions who underwent preoperative DCE-CT imaging.

Circulating short-chain and branched short-chain fatty acids and the risk of incident type 2 diabetes: findings from the 4C study.

Previous studies suggested that fecal short-chain fatty acids (SCFAs) and branched short-chain fatty acids (BCFAs) are associated with glucose regulation. However, the potential relationship between circulating SCFAs and BCFAs with incident diabetes risk in both men and women remains unidentified in prospective cohort studies. In this study, we examined a panel of nine serum SCFAs and BCFAs in 3414 subjects with incident diabetes, and matched normoglycemic controls from the China Cardiometabolic Disease and Cancer Cohort study.

An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer.

Background: Programmed death ligand 1 (PD-L1) expression status, closely related to immunotherapy outcomes, is a reliable biomarker for screening patients who may benefit from immunotherapy. Here, we developed and validated an interpretable machine learning (ML) model based on contrast-enhanced computed tomography (CECT) radiomics for preoperatively predicting PD-L1 expression status in patients with gastric cancer (GC).

Methods: We retrospectively recruited 285 GC patients who underwent CECT and PD-L1 detection from two medical centers.

OMEGA-guided DNA polymerases enable random mutagenesis in a tunable window.

Targeted random mutagenesis is crucial for breeding, directed evolution, and gene function studies, yet efficient tools remain scarce. Here, we present obligate mobile element guided activity (OMEGA)-R, an innovative targeted random mutagenesis system that integrates SpyCatcher-enIscB and PolI3M-TBD-SpyTag, outperforming existing state-of-the-art technologies in key metrics, such as protein size, mutagenesis efficiency, window length, and continuity. OMEGA-R achieves a dramatic enhancement of on-target mutagenesis, reaching a rate of 1.

Tailoring Versatile Nanoheterojunction-Incorporated Hydrogel Dressing for Wound Bacterial Biofilm Infection Theranostics.

Wound-infected bacterial biofilms are protected by self-secreted extracellular polymer substances (EPS), which can confer them with formidable resistance to the host's immune responses and antibiotics, and thus delays in diagnosis and treatment can cause stubborn infections and life-threatening complications. However, tailoring an integrated theranostic platform with the capability to promptly diagnose and treat wound biofilm infection still remains a challenge. Herein, a versatile erbium-doped carbon dot-encapsulated zeolitic imidazolate framework-8 (Er:CDs@ZIF-8) nanoheterojunction (C@Z nano-HJ) is tailored and incorporated into gelatin methacrylate/poly(-hydroxyethyl acrylamide) (GelMA/PHEAA)-based tough and sticky hydrogel dressing (GH-C@Z) to achieve wound biofilm infection-integrated theranostic application.