AIMC Topic: Ferritins

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Data-driven cluster analysis identifies three clinical phenotypes in hemodialysis patients.

Renal failure
Clinical heterogeneity among hemodialysis patients necessitates precision medicine approaches transcending conventional single-parameter management. Through machine learning analysis of 1,207 maintenance hemodialysis patients, we developed a novel tw...

Controlling nanocage assembly, towards developing a one-health "plug & play" platform for targeted therapy.

Chemical communications (Cambridge, England)
There is a growing interest in developing one-health "plug and play" platforms for making different therapeutics/prophylactics to target various biological entities such as viruses, cancer cells, or bacteria. Such a platform could benefit from advanc...

Structural modification strategies for ferritin nanoparticles and their applications in biomedicine: a narrative review.

Nanoscale
Ferritin is an iron-storage protein that naturally self-assembles into a hollow spherical particle consisting of 24 identical subunits, and it serves a central role in iron metabolism. Ferritin's favorable drug-loading capacity, biocompatibility, int...

Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis.

International dental journal
OBJECTIVE: While ferritinophagy is believed to play a significant role in the development of periodontitis, the exact mechanisms remain unclear. This study aimed to investigate the biomarkers associated with ferritinophagy in periodontitis using tran...

Salidroside sensitizes Triple-negative breast cancer to ferroptosis by SCD1-mediated lipogenesis and NCOA4-mediated ferritinophagy.

Journal of advanced research
INTRODUCTION: Triple-negative breast cancer (TNBC) is the primary cause of breast cancer-induced death in women. Literature has confirmed the benefits of Salidroside (Sal) in treating TNBC. However, the study about potential therapeutic targets and m...

Determination of prognostic markers for COVID-19 disease severity using routine blood tests and machine learning.

Anais da Academia Brasileira de Ciencias
The need for the identification of risk factors associated to COVID-19 disease severity remains urgent. Patients' care and resource allocation can be potentially different and are defined based on the current classification of disease severity. This ...

Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

European journal of internal medicine
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA...

Intravenous Iron Replacement Improves Exercise Tolerance in COPD: A Single-Blind Randomized Trial.

Archivos de bronconeumologia
INTRODUCTION: Iron deficiency affects exercise capacity because of the critical role iron plays in the optimal functioning of skeletal muscle metabolism. We hypothesized that intravenous iron may improve exercise tolerance, quality of life (QoL), and...

Label-free approach for electrochemical ferritin sensing using biosurfactant stabilized tungsten disulfide quantum dots.

Biosensors & bioelectronics
A novel approach for the synthesis of biosurfactant stabilized/functionalized tungsten disulfide (WS-B) quantum dots (QDs) and its application for ferritin immunosensor is reported. These 2-D layered material derived quantum dots are synthesized via ...