Associations of plasma Neurofilament light chain with sarcopenia and physical capacity in patients with Alzheimer's diseases.

Background: Despite the close association of Alzheimer's disease (AD) with muscle decline, the biomarkers of age-related muscle loss, termed sarcopenia, in AD remain elusive.

Objectives: We investigated the plasma neurofilament light (NfL) chain levels as potential biomarkers of sarcopenia in AD patients. DESIGN SETTING, PARTICIPANTS, MEASUREMENTS: We conducted a cross-sectional, observational study on older adults, including controls and patients with AD (n = 38-44/group).

Lightweight-CancerNet: a deep learning approach for brain tumor detection.

Detecting brain tumors in medical imaging is challenging, requiring precise and rapid diagnosis. Deep learning techniques have shown encouraging results in this field. However, current models require significant computer resources and are computationally demanding.

Structurally modified carbon nanotubes as twisted fibers towards electrochemical detection of environmentally hazardous cartap.

Pesticides such as cartap play a crucial role in agriculture, as they are extensively used in controlling pests in crops like sugarcane, rice and vegetables. However, their excessive usage poses major threats to human health, causing neurotoxicity and respiratory disorders. In addition, they harm aquatic ecosystems by disrupting biodiversity.

Exploring potential additive effects of 5-fluorouracil, thymoquinone, and coenzyme Q10 triple therapy on colon cancer cells in relation to glycolysis and redox status modulation.

Background: To investigate the anticancer effects of 5-Fluorouracil (5-FU), thymoquinone (TQ), and/or coenzyme Q10 (CQ10), alone and combined, in HT29, SW480, and SW620 human colorectal cancer (CRC) cell lines.

Methods: Cell cycle progression and apoptosis were assessed by flow cytometry. Gene and protein expression of molecules involved in apoptosis (BLC2, survivin, BAX, Cytochrome-C, and Caspase-3), cell cycle (CCND1, CCND3, p21, and p27), the PI3K/AKT/mTOR/HIF1α oncogenic pathway, and glycolysis (LDHA, PDH, and PDHK1) were also analysed by quantitative RT-PCR and Western blot.

Female autism categorization using CNN based NeuroNet57 and ant colony optimization.

Autism identification and classification using biomedical medical image analysis has advanced recently. Research shows autistic females have different phenotypic and age-related brain variations than males. Gender-specific hormones and genes affect autistic female brain circuitry, unfortunately, female phenotypic and genotypic data is quite deficient.