Transthyretin (TTR) is a homo-tetrameric, 55 kDa, transport protein synthesized mainly in the liver, retinal epithelium, choroid plexus, placental villi and uterus. The main function of TTR is transport of thyroxine (T 4 ) and retinol-binding protein, while it also plays a crucial role in neuroprotection. The binding o...
This record provides reproducibility materials for the study “Incremental predictive value of cystatin C for next-visit care needs in older adults: a longitudinal study using CHARLS data.” The study evaluates prediction of three next-visit states: alive without basic activities of daily living (BADL) assistance, alive...
Yanche Lu, Ruijie Lin· Zenodo (CERN European Organi...· 0 citations
Podocyte injury contributes to diabetic nephropathy (DN) progression. This study aimed to screen and validate the key functional proteins related to podocyte injury in DN, and to explore the protective effect of bioactive ingredients derived from traditional Chinese medicine Linggui Zhugan (LGZG) formula against DN...
Zi-Xuan Wang, Wen-Xuan Wang, Qiong-Dan Liang et al.· Frontiers in Pharmacology· 0 citations
Protein inverse folding, which infers compatible amino acid sequences from a given backbone structure, is central to rational protein design. Current methods rely largely on sequence recovery rate as the evaluation metric, emphasizing structural compatibility but seldom addressing function. Yet functional activity depe...
Zhi-Hao Wang, Zhong-Yang Zhang, Yan-Mei Yang et al.· bioRxiv· 0 citations
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Abstract Objectives Clinical translation of extracellular vesicle (EV)-based diagnostics is constrained by preanalytical variability in separation workflows. We developed a preanalytical quality indicator framework for automated EV separation, anchored to IFCC, EFLM, and MISEV2023 standards. This proof-of-concept study...
A. M. Zimbo, V. Crapella, S. Mimmi et al.· Clinical Chemistry and Labor...· 0 citations
Esophageal squamous cell carcinoma (ESCC) is an aggressive disease with a low survival rate. While considerable progress has been made in uncovering the biological mechanisms of the disease, diagnosing ESCC at an early stage remains challenging. Altered N-glycosylation patterns are hallmarks of various cancers, and ide...
This record provides reproducibility materials for the study “Incremental predictive value of cystatin C for next-visit care needs in older adults: a longitudinal study using CHARLS data.” The study evaluates prediction of three next-visit states: alive without basic activities of daily living (BADL) assistance, alive...
Yanche Lu, Ruijie Lin· Zenodo (CERN European Organi...· 0 citations
Background: The Lung Transplant Frailty Scale (LT-FS) is a validated binary measure of frailty in lung transplant candidates. We aimed to refine the LT-FS Base and Body Composition measures by developing a three-category classification to improve clinical risk stratification with serum albumin as a more clinically prac...
A. Sriram, J. Christie, M. Anderson et al.· medRxiv· 0 citations
Capturing the dynamic interplay of proteins and organelles within cells requires microscopy methods with high spatial and temporal resolution. Reversible Saturable OpticaL Fluorescent Transition (RESOLFT) demonstrated great potential for live cell nanoscopy by using patterned light and reversibly switching fluorescent...
A sustainable alternative for cancer therapy that aligns with green chemistry principles and reduces environmental accumulation of non-degradable therapeutic materials is offered, offering a sustainable alternative for cancer therapy that aligns with green chemistry principles and reduces environmental accumulation of...
Shabnam Naderlou, Ali Mohammadi, Ali Heidarnejad Maleki et al.· Journal of Polymers and the...· 0 citations
Fluorescent proteins (FPs) are widely used in biological imaging, yet their limited programmability restricts adaptability for advanced nanoscale applications. Synthetic molecular containers offer designable cavities but struggle to simultaneously achieve large dimensions, biocompatible interfaces, and precise microenv...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
