Unveiling familial aggregation of nasopharyngeal carcinoma: Insights from oral microbiome dysbiosis.

Familial aggregation is common in nasopharyngeal carcinoma (NPC), yet the impact of oral microbiome dysbiosis on this occurrence remains largely unexplored. We recruit 127 families (649 members, 1-5 patients each) and a case-control cohort of 337 individuals, validating findings in an additional cohort of 995 individuals. Significant microbial similarity is observed among family members, with family factors contributing most to microbiome variation, followed by cigarette smoking, age, and gender.

Whole genome sequencing of hepatitis B virus using tiled amplicon (HEPTILE) and probe based enrichment on Illumina and Nanopore platforms.

Hepatitis B virus (HBV) whole genome sequencing (WGS) is currently limited as the DNA viral loads (VL) of many clinical samples are below the threshold required to generate full genomes using current sequencing methods. We developed two pan-genotypic viral enrichment methods, using probe-based capture and tiled amplicon PCR (HEP-TILE) for HBV WGS. We demonstrate using mock samples that both enrichment methods are pan-genotypic (genotypes A-J).

Protein kinase A regulates ferroptosis by controlling GPX4 mA modification through phosphorylation of ALKBH5.

GPX4-dependent ferroptosis has emerged as a therapeutic strategy for cancer treatment. Here, we demonstrated that protein kinase A (PKA) participates in the regulation of ferroptosis by controlling the mA modification of GPX4 in an ALKBH5-dependent manner. Notably, we identified ALKBH5, an mA demethylase, as a novel target of PKA, which drives phosphorylation-dependent degradation of ALKBH5 protein.

Disruption of BCAA degradation is a critical characteristic of diabetic cardiomyopathy revealed by integrated transcriptome and metabolome analysis.

In this study, we integrated transcriptomic and metabolomic analyses to achieve a comprehensive understanding of the underlying mechanisms of diabetic cardiomyopathy (DCM) in a diabetic rat model. Functional and molecular characterizations revealed significant cardiac injury, dysfunction, and ventricular remodeling in DCM. A thorough analysis of global changes in genes and metabolites showed that amino acid metabolism, especially the breakdown of branched-chain amino acids (BCAAs) such as valine, leucine, and isoleucine, is highly dysregulated.

Longitudinal profiles of oral microbiome in patients with nasopharyngeal carcinoma and their prognostic implications.

Background: Oral microbiome has been associated with various cancers, including nasopharyngeal carcinoma (NPC), but its role in cancer treatment and prognosis remains largely unknown. This study aims to address the dynamic changes in oral microbiome following cancer treatment and their prognostic implications in NPC patients.

Patients And Methods: Unstimulated whole saliva samples were collected from 23 NPC patients before and after treatment, with an average of 2.

Capsaicin and Quercitrin Maintained Lipid Homeostasis of Hyperlipidemic Mice: Serum Metabolomics and Signaling Pathways.

Capsaicin and quercitrin have proved to be two major ingredients in fresh chili pepper. However, the effect of these two compounds on hyperlipidemia and the related molecular mechanisms were still unclear. This work was performed to examine the hypolipidemic capacity of capsaicin and quercitrin as well as the related signaling pathways.

Mixed Mutual Transfer for Long-Tailed Image Classification.

Real-world datasets often follow a long-tailed distribution, where a few majority (head) classes contain a large number of samples, while many minority (tail) classes contain significantly fewer samples. This imbalance creates an information disparity between head and tail classes, which can negatively impact the performance of deep networks. Some transfer knowledge techniques attempt to mitigate this gap by generating additional minority samples, either through oversampling the tail classes or transferring knowledge from the head classes to the tail classes.

Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model.

With advancements in computing technology and the rapid progress of data science, machine learning has been widely applied in various fields, showing great potential, especially in digital healthcare. In recent years, conversational diagnostic systems have been used to predict diseases through symptom checking. Early systems predicted the likelihood of a single disease by minimizing the number of questions asked.

Retinal ischemia-reperfusion injury and pretreatment with glycopeptide.

Aim: To investigate the antioxidant protective effect of glycopeptide (LbGP) pretreatment on retinal ischemia-reperfusion (I/R) injury (RIRI) in rats.

Methods: RIRI was induced in Sprague Dawley rats through anterior chamber perfusion, and pretreatment involved administering LbGP gavage for 7d. After 24h of reperfusion, serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), and creatinine (CREA) levels, retinal structure, expression of Caspase-3 and Caspase-8, superoxide dismutase (SOD) activity, and malondialdehyde (MDA) in the retina were measured.

Trajectories of body mass index and incident kidney stone disease: a prospective cohort study in Chinese young adults.

The present study aims to explore the potential changing trajectory patterns of body mass index (BMI) for Chinese young adults and identify the relationship of BMI trajectory patterns with kidney stone disease (KSD) incidence. Latent class growth analysis was used to identify distinct trajectories of BMI during young adulthood. Cox proportion hazard models were conducted to explore the association between the BMI trajectory group memberships and incident KSD.

The diagnostic performance of T1 mapping in the assessment of breast lesions: A preliminary study.

Purpose: To assess T1 mapping performance in distinguishing between benign and malignant breast lesions and to explore its correlation with histopathologic features in breast cancer.

Methods: This study prospectively enrolled 103 participants with a total of 108 lesions, including 25 benign and 83 malignant lesions. T1 mapping, diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) were performed.

Demultiplexing of single-cell RNA-sequencing data using interindividual variation in gene expression.

Motivation: Pooled designs for single-cell RNA sequencing, where many cells from distinct samples are processed jointly, offer increased throughput and reduced batch variation. This study describes expression-aware demultiplexing (EAD), a computational method that employs differential co-expression patterns between individuals to demultiplex pooled samples without any extra experimental steps.

Results: We use synthetic sample pools and show that the top interindividual differentially co-expressed genes provide a distinct cluster of cells per individual, significantly enriching the regulation of metabolism.

Chloroplast biogenesis involves spatial coordination of nuclear and organellar gene expression in Chlamydomonas.

The localization of translation can direct the polypeptide product to the proper intracellular compartment. Our results reveal translation by cytosolic ribosomes on a domain of the chloroplast envelope in the unicellular green alga Chlamydomonas (Chlamydomonas reinhardtii). We show that this envelope domain of isolated chloroplasts retains translationally active ribosomes and mRNAs encoding chloroplast proteins.

Bimetallic iron complex constructed clusters and single atoms neighboring structure to enhance oxygen reduction reaction performance.

Electrocatalysts are useful in lowering the energy barrier in oxygen reduction reaction (ORR). In this study, a catalyst with neighboring Fe single-atom and cluster is created by adsorbing a bimetallic Fe complex onto N-doped carbon and then pyrolyzing it. The resulting catalyst has good performance and a half-wave potential of 0.

Facilitative effect of awe on cooperation: The role of the small-self and self-other inclusion.

Awe has been theorized as a kind of self-transcendence emotion that has an important impact on individual social behavior. Based on the self-transcendence of awe, this study examined how awe can increase small-self and self-other inclusion to facilitate cooperation among individuals across three studies (N = 1162). First, the relationship between awe, cooperative propensity, and the mediating role of small-self and self-other inclusion in the relationship was examined using questionnaires on trait levels (Study 1).

Wheat WRKY transcription factor TaWRKY24 confers drought and salt tolerance in transgenic plants.

Drought and salt stress are major environmental conditions that severely limit plant growth and productivity. WRKY transcription factors play a vital role in the responses against biotic or abiotic stress. In this study, TaWRKY24, a gene of the IIe WRKY family identified in wheat, was cloned and characterized.

The interaction and mediation effects between the host genetic factors and Epstein-Barr virus VCA-IgA in the risk of nasopharyngeal carcinoma.

Previous studies have demonstrated strong associations between host genetic factors and Epstein-Barr virus (EBV) VCA-IgA with the risk of nasopharyngeal carcinoma (NPC). However, the specific interplay between host genetics and EBV VCA-IgA on NPC risk is not well understood. In this two-stage case-control study (N = 4804), we utilized interaction and mediation analysis to investigate the interplay between host genetics (genome-wide association study-derived polygenic risk score [PRS]) and EBV VCA-IgA antibody level in the NPC risk.

Association of body fat percentage with kidney stone Disease: a cross-sectional and longitudinal study among bus drivers.

Background: The association between body fat percentage (BFP) and kidney stone disease (KSD) among bus drivers has not been explored in the existing literature. Thus, this study was conducted to explore the influence of BFP on the risk of KSD as well as KSD development for bus drivers to fill the research gap.

Methods: A cross-sectional and longitudinal cohort study was designed.

Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data.

The objective of this retrospective study was to predict short-term efficacy of anti-vascular endothelial growth factor (VEGF) treatment in diabetic macular edema (DME) using machine learning regression models. Real-world data from 279 DME patients who received anti-VEGF treatment at Ineye Hospital of Chengdu University of TCM between April 2017 and November 2022 were analyzed. Eight machine learning regression models were established to predict four clinical efficacy indicators.

A wheat WRKY transcription factor TaWRKY17 enhances tolerance to salt stress in transgenic Arabidopsis and wheat plant.

WRKY transcription factors are essential to plant growth, development, resistance, and the regulation of metabolic pathways. In this study, we characterized TaWRKY17, a WRKY transcription factor from wheat, which was differentially expressed in various wheat organs and was up-regulated by salt, drought, hydrogen peroxide (HO) and abscisic acid (ABA) treatment. To analyze TaWRKY17 function under salt stress, we obtained stable T generation transgenic Arabidopsis and wheat TaWRKY17 overexpression plants.