Protein Detection Based on Field-Effect Transistor Biosensors for Diagnosing Diseases.

Proteins have been one of the most important biomarkers for diagnosing diseases, and field-effect transistor (FET) biosensors possess high sensitivity; are label-free; and feature real-time detection, rapidity, and easy integration for protein detection. FET biosensors are mainly made up of FET parts, such as channel materials, and bio parts, such as receptors. This Tutorial provides an in-depth exploration of FET biosensors for protein detection from the composition perspective and discusses the commercialization of point-of-care diagnostics of proteins based on FET biosensors.

Intra-Mesopore Immunoassay Based on Core-Shell Structured Magnetic Hierarchically Porous ZIFs.

It is crucial yet challenging to sensitively quantify low-abundance biomarkers in blood for early screening and diagnosis of various diseases. Herein, an analytical model of intra-mesopore immunoassay (IMIA) was proposed, which was competent to examine various biomarkers at the femtomolar level. The success is rooted in the design of an innovative superparamagnetic core-shell structure with FeO nanoparticles (NPs) at the core and hierarchically porous zeolitic imidazolate frameworks as a shell (FeO@HPZIF-8), achieved through a soft-template directed self-assembly coupled with confinement growth mechanism.

Molecular and Immunological Characterization of Troponin C: An Allergen from .

, a crustacean of substantial importance, is a frequent trigger of food allergies. This study examined the molecular and immunological properties of troponin C from (Scy p TnC) as an allergen. The findings indicated that thermal stability of Scy p TnC comprised 150 amino acids and facilitated the induction of CD63/CD203c in basophils from crab allergy patients.

Efficacy and safety of gut microbiome-targeted treatment in patients with depression: a systematic review and meta-analysis.

Background: The study aimed to comprehensively analyze and establish a framework for evaluating the efficacy of microbiome-targeted treatment (MTT) for depression.

Methods: We searched PubMed, Embase, Cochrane Library, Web of Science, and the Chinese National Knowledge Infrastructure database for randomized controlled trials (RCTs) on MTT in treating depression until October 19, 2023. A meta-analysis was conducted to evaluate the efficacy and safety of MTT.