Biological role of cytochrome P450 family 1 subfamily A member 1 (CYP1A1) in ketogenic diet-induced modulation of lung cancer.

Cancer is a metabolic disease influenced by diet, diet-related nutrients, the tumor microenvironment, and metabolic signaling, all of which can significantly affect cancer progression. Although ketogenic diet (KD) has gained attention for its potential therapeutic effects in cancer, the relationship between KD, cancer biology, and metabolic signaling remains underexplored. In this study, we aimed to investigate the effect of KD on lung cancer biology using an in vivo model developed with AAV and CRISPR-Cas9 knock-in mice fed either a KD or high-carbohydrate diet (HCD).

Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator.

On-chip training in analog in-memory computing (AIMC) holds great promise for reducing data latency and enabling user-specific learning. However, analog synaptic devices face significant challenges, particularly during parallel weight updates in crossbar arrays, where non-uniform programming and disturbances often arise. Despite their importance, the disturbances that occur during training are difficult to quantify based on a clear mechanism, and as a result, their impact on training performance remains underexplored.

Workplace-based continuous glucose monitoring with structured education for pre-diabetes and type 2 diabetes: A prospective community cohort study.

Aims: We investigated the effect of continuous glucose monitoring (CGM) with personalised structured education on patients with type 2 diabetes (T2D) and pre-diabetes in a workplace setting.

Materials And Methods: This 8-week prospective study enrolled adults with T2D or pre-diabetes at Samsung Electronics Device Solutions between March and September 2023. Participants underwent CGM (Freestyle Libre) for 2 weeks and received personalized structured education on diet and physical activity.

Device-Algorithm Co-Optimization for an On-Chip Trainable Capacitor-Based Synaptic Device with IGZO TFT and Retention-Centric Tiki-Taka Algorithm.

Analog in-memory computing synaptic devices are widely studied for efficient implementation of deep learning. However, synaptic devices based on resistive memory have difficulties implementing on-chip training due to the lack of means to control the amount of resistance change and large device variations. To overcome these shortcomings, silicon complementary metal-oxide semiconductor (Si-CMOS) and capacitor-based charge storage synapses are proposed, but it is difficult to obtain sufficient retention time due to Si-CMOS leakage currents, resulting in a deterioration of training accuracy.

Metformin Resistance Is Associated with Expression of Inflammatory and Invasive Genes in A549 Lung Cancer Cells.

Metformin, the most commonly used drug for type 2 diabetes, has recently been shown to have beneficial effects in patients with cancer. Despite growing evidence that metformin can inhibit tumor cell proliferation, invasion, and metastasis, studies on drug resistance and its side effects are lacking. Here, we aimed to establish metformin-resistant A549 human lung cancer cells (A549-R) to determine the side effects of metformin resistance.

α-ketoglutarate suppresses immediate early gene expression in cancer cells.

Cancer cells exhibit increased glutamine consumption compared to normal cells, supporting cell survival and proliferation. Glutamine is converted to α-ketoglutarate (αKG), which then enters the tricarboxylic acid cycle to generate ATP. Recently, therapeutic modulation of glutamine metabolism has become an attractive metabolic anti-cancer strategy.