Publications by authors named "Xiao Luo"

Indoleamine 2,3-dioxygenase 1 (IDO1) is a heme-containing enzyme considered as a potential therapeutic target for neurodegenerative diseases and cancer. However, the further development of traditional IDO1 inhibitors has been hindered by their limited clinical efficacy. Recently, type IV apo-IDO1 inhibitors offer a new strategy for developing IDO1 inhibitors due to their highly selective and durable inhibition.

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Two-dimensional nanosheets exhibit largely enhanced photocatalytic activities for hydrogen peroxide (HO) production. Conventionally, the nanosheets are fabricated through ex situ approaches (i.e.

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The mechanisms underlying the different morphological evolution of recent small subcortical infarcts (RSSIs)-ranging from cavitation to complete disappearance-remain incompletely understood. Free water (FW), derived from diffusion tensor image, has emerged as a sensitive marker reflecting various pathophysiological processes that may influence RSSI evolution. This study aimed to investigate whether baseline FW measures and their longitudinal changes are associated with the morphological evolution of RSSIs.

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Various Foundation Models (FMs) have been built based on the pre-training and fine-tuning framework to analyze single-cell data with different degrees of success. In this manuscript, we propose a method named scELMo (Single-cell Embedding from Language Models), to analyze single-cell data that utilizes Large Language Models (LLMs) as a generator for both the description of metadata information and the embeddings for such descriptions. We combine the embeddings from LLMs with the raw data under the zero-shot learning framework to further extend its function by using the fine-tuning framework to handle different tasks.

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Fungicide resistance in crop-pathogenic fungi presents a major threat to global agriculture, jeopardizing food security and sustainable crop production. This review thoroughly explores the use of genomic and transcriptomic sequencing technologies to uncover the molecular and genetic mechanisms underlying fungicide resistance in various phytopathogens. Resistance develops through both target-site mutations, such as changes in CYP51 and β-tubulin genes, and nontarget-site mechanisms, including metabolic detoxification, efflux pump overexpression and stress response modulation.

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Background: Bedtime procrastination has become increasingly prevalent in China in recent years. Numerous studies have demonstrated the negative effects of bedtime procrastination on individuals’ physical and mental health. The present study aims to examine the relationship between resilience and bedtime procrastination among Chinese college students, as well as to explore the mediating role of perceived stress and the dual moderating roles of self-compassion and gender.

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The traditional analysis methods for fluoride ions, including potentiometric titration and chromatography, suffer from issues such as complex analysis processes, high costs, and long duration. Here, a typical nanocomposite, consisting of an iron metal-organic framework (MIL-100(Fe)) with surface defects and graphitic carbon nitride (g-CN), has been successfully developed through regulation by 3-aminophenylboric acid, specifically for the fabrication of fluoride ion sensors. The electrochemical behavior of fluoride ions was investigated using the modified electrode via differential pulse voltammetry.

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The hypothalamic-pituitary-adrenal (HPA) axis and its end-product cortisol play an important role in adaptation to stressful situations. Previous studies have suggested brain regions in the limbic area (e.g.

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Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-pedal vein bypass grafts at various post-operative intervals. Currently, there is no systematic method for bypass graft surveillance using a set of peak systolic velocities (PSVs) collected during these exams. This research aims to explore the use of recurrent neural networks to predict the next set of PSVs, which can then indicate occlusion status.

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Thermal signatures carry unique infrared appearances and spectral fingerprints of objects, but controlling them across spatial, temporal, and spectral domains remains challenging due to thermal emission's slow, diffuse, and broadband emitting nature. We demonstrate a reconfigurable ultrafast thermal metamaterial pixel array integrating active metasurfaces with dual-gate graphene transistors (Gr-FETs). Each pixel's Gr-FETs provide heater-switch dual functionalities: one as a broadband transparent microheater supporting arbitrary metasurface designs for multicolor, narrowband infrared emission with ultrafast modulation speed of minimum 187 kHz, and the other as an electrical switch enabling unified array control without compromising emission intensity.

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ObjectivesGastroesophageal reflux-related chronic cough (GERC), an extraesophageal manifestation of gastroesophageal reflux disease (GERD). Although 24h MII-pH monitoring is the gold standard for diagnosing GERC, its invasiveness, high cost, and limited accessibility hinder widespread use in many clinical settings. This study aimed to develop a non-invasive machine learning model incorporating Peptest™ and GerdQ scores to facilitate GERC detection, particularly in primary care and resource-limited environments where MII-pH testing is not readily available.

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Introduction: Previous studies have indicated a potential association between the gut microbiota (GM) and dementia; however, the exact cause-and-effect relationships between GM, various types of dementia, and the potential influence of the plasma lipidome as intermediaries are still unclear.

Material And Methods: We used genome-wide association study (GWAS) data to identify GM taxa, plasma lipid species (lipidome), and five types of dementia: Alzheimer's disease (AD), dementia with Lewy bodies (DLB), Parkinson's disease dementia (PDD), frontotemporal dementia (FTD) and vascular dementia (VD). We used Mendelian randomization (MR) to investigate the possible causal connections among the GM, plasma lipidome, and dementias.

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Unlabelled: Implants can regulate the phenotypic transformation of macrophages from pro-inflammatory M1-type to anti-inflammatory M2-type, and macrophage polarization plays an important role in the process of osteogenesis and angiogenesis. This study aims to explore the potential mechanism of the regulation of macrophage polarization by titanium implants. Macrophages were treated with lipopolysaccharide (LPS) and IFN-γ to induce inflammatory microenvironment in vitro.

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Unlabelled: This study investigates the potential of advanced automatic speech recognition (ASR) technology for transcribing and recognizing medical information during patient encounters, with the aim of enabling real-time clinical documentation to alleviate clinicians' workload. While ASR holds promise, its effectiveness in noisy and dynamic medical settings, such as emergency medical services (EMS), remains underexplored. To address this, four ASR engines-Google Speech-to-Text Clinical Conversation, OpenAI Speech-to-Text, Amazon Transcribe Medical, and Azure Speech-to-Text-were evaluated using 40 EMS simulation recordings.

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Abnormal SO derivative levels can induce mitochondrial dysfunction, which is associated with liver cancer disease. The pH levels is also a significance parameter in the process of food spoilage. It is evident that developing a detection tool for SO derivatives in biological systems and pH fluctuations in food samples is of great significance.

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Background: Achieving optimal efficacy in secondary alveolar bone grafting (SABG) poses a considerable challenge for patients with alveolar clefts after canine eruption. This study introduces a novel technique called the "2-stage SABG" to improve the treatment outcomes for patients who have missed the optimal timing for bone grafting.

Methods: Patients aged 12 years and older, presenting with unilateral, complete alveolar clefts after canine eruption, were divided into 2 cohorts: conventional and 2-stage groups.

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Introduction: This study aimed to investigate the trajectory of cognitive decline and explore the association between education levels and the trajectory of cognitive decline among Chinese middle-aged and older adults.

Methods: Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) among Chinese middle-aged and older adults with five waves of follow-up, 2011-2020. Education levels were self-reported by the participants at baseline.

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Methicillin-resistant (MRSA) represents a major clinical challenge as a predominant pathogen causing chronic and difficult-to-treat wound infections. Effective strategies that simultaneously combat bacterial infection and promote tissue regeneration are essential yet challenging for managing MRSA-related wound complications. Herein, we report the design of a novel integrated dual-gas release molecular platform, which enable the phototriggered simultaneous release of NO and CO within a single molecular entity, i.

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Rationale And Objectives: Diagnosis of carotid plaques from head and neck CT angiography (CTA) scans is typically time-consuming and labor-intensive, leading to limited studies and unpleasant results in this area. The objective of this study is to develop a deep-learning-based model for detection and segmentation of carotid plaques using CTA images.

Materials And Methods: CTA images from 1061 patients (765 male; 296 female) with 4048 carotid plaques were included and split into a 75% training-validation set and a 25% independent test set.

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BackgroundCerebrospinal fluid (CSF) dynamics plays a key role in clearing soluble amyloid-β from the brain, which may impact Alzheimer's disease (AD) onset.ObjectiveThis study seeks to differentiate cerebrospinal fluid dysfunction between early-onset AD (EOAD) and late-onset AD (LOAD) subtypes and to examine their associations with brain changes and cognitive function.MethodsWe performed in vivo imaging measurements on 40 EOAD patients, 38 LOAD patients, 69 age-matched young normal controls (YNC), and 60 old normal controls (ONC).

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Summary: In this paper, we introduce the first diffusion model designed to generate complete synthetic human genotypes, which, by standard protocols, one can straightforwardly expand into full-length, DNA-level genomes. The synthetic genotypes mimic real human genotypes without just reproducing known genotypes, in terms of approved metrics. When training biomedically relevant classifiers with synthetic genotypes, accuracy is near-identical to the accuracy achieved when training classifiers with real data.

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Purpose: Our study aimed to determine through a meta-analysis whether continuing metformin use in diabetic patients receiving contrast agents would increase the risk of renal impairment and metabolic abnormalities.

Methods: We searched the PubMed, EBSCO, Medline, and the Cochrane Central Register of Controlled Trials from the inception dates to March 2024. The included studies comparing metformin users and non-users during contrast agent administration in diabetic patients.

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TOPLESS/TOPLESS-RELATED (TPR) proteins are conserved transcriptional co-repressors vital for plant growth and development. However, the functions of soybean TPR (GmTPR) gene family members and their roles in photoperiod responses remain largely unexplored. In this study, we identified 12 TPR genes in the soybean genome, distributed across 11 chromosomes.

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The soybean is a critical source of vegetable protein, but its proteome remains undercharacterized. Here, we quantify 12,855 proteins across 14 soybean organs using 4D data-independent acquisition mass spectrometry (4D-DIA-MS), creating the most extensive soybean proteome dataset to date. Organ-specific protein expression and co-expression analyses highlight functional specificity with significant differences in protein-transcript abundance across organs.

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