Publications by authors named "Qian Gao"

Tracheobronchial tuberculosis (TBTB) is a specific form of pulmonary tuberculosis characterized by Mycobacterium tuberculosis involvement in the tracheobronchial tree. Rapid and accurate diagnostic tools for TBTB are crucial. Raman spectroscopy (RS) is a noninvasive tool that accesses molecular vibrations and sample characteristics, enabling the creation of a molecular fingerprint of biological samples, which has enormous potential on clinical diagnosis for TBTB.

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The photoelectrochemical properties of hematite-based photoanodes are hindered by severe carrier recombination and poor reaction activity, which is a major challenge. Herein, we coupled zirconium-doped α-FeO (Zr:FeO) and phosphating cobalt molybdate electrocatalyst (P-CoMoO) to ameliorate the above difficulties. The conductivity and carrier density of hematite significantly increase by Zr doping.

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The intricacies of cancer present formidable challenges in achieving effective treatments. Despite extensive research in computational methods for drug response prediction, achieving personalized treatment insights remains challenging. Emerging solutions combine multiple omics data, leveraging graph neural networks to integrate molecular interactions into the reasoning process.

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In this work, we explore the structural, mechanical, and electronic properties of 2D-B9, a borophene allotrope with a unique bonding structure and promising potential for strain engineering. Through first-principles calculations, we investigate the material's stability, revealing a robust phonon spectrum and favorable mechanical flexibility, including isotropic behavior and a moderate Young's modulus. The electronic structure of 2D-B9 features key characteristics such as a van Hove singularity (vHS) and a Dirac cone, which can be dynamically tuned via strain.

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Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have been developed for drug response prediction, integrating diverse information about biological entities and predicting the directional response remain major challenges. Here, we propose a novel interpretable predictive model, DRExplainer, which leverages a directed graph convolutional network to enhance the prediction in a directed bipartite network framework.

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G-quadruplex (G4) structures play important roles in various biological processes, especially the gene regulation. Nucleolar protein 56 (NOP56) is an essential component in ribosome biogenesis while its overexpression associates with various types of cancers, rendering it a significant therapeutic target. Here for the first time, an antiparallel chair-type G4 structure formed by a 21-nt DNA sequence from the intron 1 of NOP56 is reported, and its high-resolution structure is determined using solution nuclear magnetic resonance spectroscopy.

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The machine learning-based model is a promising paradigm for predicting invasive disease events (iDEs) in breast cancer. Feature selection (FS) is an essential preprocessing technique employed to identify the pertinent features for the prediction model. However, conventional FS methods often fail with imbalanced clinical data due to the bias towards the majority class.

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The commercial development of supercapacitors (SCs) heavily depends on a stable electrochemical performance with a long life span. However, insufficient charge transfer within the SC electrodes is a major challenge. This paper introduces an interface engineering strategy to enhance charge transfer by creating a built-in electric field (BIEF) at the interface of MXene electrode material.

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Background: The morphological differences in the pulmonary vascular tree between chronic thromboembolic pulmonary hypertension (CTEPH) and chronic thromboembolic disease (CTED) are not yet fully understood. This study aimed to use artificial intelligence (AI) segmentation technology to identify morphological markers that can be used to differentiate CTEPH from CTED using computed tomography pulmonary angiography (CTPA).

Methods: We conducted a retrospective cohort study with consecutive patients diagnosed with CTEPH, CTED, and control subjects at the China-Japan Friendship Hospital from January 2019 to October 2023.

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The preparation of full-color room temperature phosphorescence (RTP) metal-organic frameworks (MOFs) is attractive but remains challenging. Herein, it is demonstrated that heavy atom-free cyclodextrin MOFs (CD-MOFs) with full-color and long-lived intrinsic RTP can be achieved by CD ligand decoration. Arylboronic acids with various π conjugations are covalently anchored by γ-CD, in return, the B─O covalent bonds and hydrogen bonds jointly stabilize the triplet excitons of the arylboronic acid chromophores, leading to the longest lifetime of up to ca.

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Background: Generalized propensity score (GPS) methods have become popular for estimating causal relationships between a continuous treatment and an outcome in observational studies with rich covariate information. The presence of rich covariates enhances the plausibility of the unconfoundedness assumption. Nonetheless, it is also crucial to ensure the correct specification of both marginal and conditional treatment distributions, beyond the assumption of unconfoundedness.

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Background: Financial toxicity is common among families of pediatric patients with cancer. However, the availability of survey and/or screening instruments specific to pediatric family financial toxicity is limited.

Methods: A two-round cross-sectional survey was conducted in Shandong Province, China.

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Covalent organic multicycles (COMs) have been designed and synthesized via the covalent assembly of rigid three-arm Y-shaped and U-shaped building blocks. These COMs have a precise tricyclic structure and exhibit remarkable solubility in a range of common solvents. Featuring well-defined cavities with electron-rich structures, these COMs displayed good adsorption capabilities for iodine in both its vapor and liquid states.

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Objectives: Non-sputum-based screening methods for active case finding are a priority for ending tuberculosis. We sought to identify and evaluate blood transcriptional biomarkers suitable for tuberculosis screening.

Methods: We integrated five blood RNA-seq datasets from global tuberculosis patients and identified genes that are differentially expressed between tuberculosis patients and healthy controls, using resampling and exhaustive testing.

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Nitrogen is a critical nutrient for plant growth and development. While numerous studies have investigated the mechanisms by which nitrate and/or ammonium regulate plant growth, little is known about whether and how amino acids regulate plant leaf development. This study demonstrates that tobacco plants with altered expression levels of an amino acid transporter (LYSINE HISTIDINE TRANSPORTER1, NtLHT1, Ntab0818090) exhibit significant differences in leaf morphology.

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Background: Tyroservatide (YSV), a bioactive tripeptide, holds potential as an anti-tumor agent. However, its specific effects on oral squamous cell carcinoma (OSCC) have not been elucidated. This study aims to investigate the inhibitory effects of YSV on OSCC and explore the underlying molecular mechanisms.

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The digital image correlation method is a non-contact optical measurement method, which has the advantages of full-field measurement, simple operation, and high measurement accuracy. The traditional DIC method can accurately measure displacement and strain fields, but there are still many limitations. (i) In the measurement of large displacement deformations, the calculation accuracy of the displacement field and strain field needs to be improved due to the unreasonable setting of parameters such as subset size and step size.

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The effects of rhizosphere microorganisms on plant growth and the associated mechanisms are a focus of current research, but the effects of exogenous combined inoculation with arbuscular mycorrhizal fungi (AMF) and plant growth-promoting rhizobacteria (PGPR) on seedling growth and the associated rhizosphere microecological mechanisms have been little reported. In this study, a greenhouse pot experiment was used to study the effects of single or double inoculation with AM fungi () and two PGPR ( sp., sp.

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Tuberculosis (TB) remains the major cause of mortality and morbidity, causing approximately 1.3 million deaths annually. As a highly successful pathogen, () has evolved numerous strategies to evade host immune responses, making it essential to understand the interactions between and host cells.

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Precise identification and analysis of multiple protein biomarkers on the surface of breast cancer cell-derived extracellular vesicles (BC-EVs) are of great significance for noninvasive diagnosis of the breast cancer subtypes, but it remains a major challenge owing to their high heterogeneity and low abundance. Herein, we established a CRISPR-based homogeneous electrochemical strategy for near-zero background and ultrasensitive detection of BC-EVs. To realize the high-performance capture and isolation of BC-EVs, fluidity-enhanced magnetic nanoprobes were facilely prepared.

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The molecular force field (FF) determines the accuracy of molecular dynamics (MD) and is one of the major bottlenecks that limits the application of MD in molecular design. Recently, artificial intelligence (AI) techniques, such as machine-learning potentials (MLPs), have been rapidly reshaping the landscape of MD. Meanwhile, organic molecular systems feature unique characteristics, and require more careful treatment in both model construction, optimization, and validation.

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Six months of chemotherapy using current agents is standard of care for pulmonary, drug-sensitive tuberculosis (TB), even though some are believed to be cured more rapidly and others require longer therapy. Understanding what factors determine the length of treatment required for durable cure in individual patients would allow individualization of treatment durations, provide better clinical tools to determine the of appropriate duration of new regimens, as well as reduce the cost of large Phase III studies to determine the optimal combinations to use in TB control programs. We conducted a randomized clinical trial in South Africa and China that recruited 704 participants with newly diagnosed, drug-sensitive pulmonary tuberculosis and stratified them based on radiographic disease characteristics as assessed by FDG PET/CT scan readers.

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Synopsis of recent research by authors named "Qian Gao"

  • - Qian Gao's recent research spans multiple disciplines, notably exploring the effects of exogenous signaling molecules like N-acyl-homoserine lactones on anaerobic granular sludge's resilience to microplastics toxicity, contributing to enhanced wastewater treatment methods.
  • - His work also includes advancements in genomic editing protocols using RNA virus vectors for efficient CRISPR-Cas delivery in plants, aiming to streamline plant transformation processes without traditional DNA methods.
  • - Furthermore, Gao investigates the interplay between environmental factors, such as volatile organic compounds, and health outcomes like cardiovascular disease, while contributing to innovative approaches in cancer treatment through machine learning techniques for predicting drug responses based on tumor genetics.

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