Publications by authors named "Aodi Wang"

Article Synopsis
  • The study focuses on identifying salivary proteins as potential biomarkers for primary Sjögren's disease (pSjD) to create a non-invasive prediction model.
  • Liquid chromatography-tandem mass spectrometry was used on saliva samples to find proteins associated with immune processes, highlighting specific proteins such as CFB, CLU, and NE as independent predictors of pSjD.
  • The proposed model combining these biomarkers with serum autoantibodies and Schirmer's test showed high accuracy, with a sensitivity of 84.85% and specificity of 92.45%, suggesting it could serve as a valuable non-invasive tool for pSjD classification.
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Hydrogen peroxide (HO) is a crucial energy carrier with growing significance in sustainable energy systems. Covalent organic frameworks (COFs) have recently emerged as promising materials for efficient HO photosynthesis, while transition-metal complexes are recognized for their efficacy as molecular photocatalysts in HO production. This study introduces a novel π-π interaction strategy to immobilize ruthenium complexes into COFs, using DaTp COF as a model system.

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Heterogenization of molecular catalysts effectively resolves the separation issues of homogeneous catalysts and expands their application scenarios. In recent years, more and more studies have been using non-covalent interactions to achieve the heterogenization of molecular catalysts. Herein, electrostatic attraction was used to immobilize molecular catalysts, Ru-bda small molecular catalysts in COF materials, where the charged Ru-bda catalysts were immobilized in the oppositely charged COF with a high [Ru] loading content of ~0.

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Fibroblast-like synoviocytes (FLSs) play a central role in RA pathogenesis and are the main cellular component in the inflamed synovium of patients with rheumatoid arthritis (RA). FLSs are emerging as promising new therapeutic targets in RA. However, fibroblasts perform many essential functions that are required for sustaining tissue homeostasis.

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  • The study focuses on microsatellite instability-high (MSI-H) in cholangiocarcinoma (CCA), investigating its implications for genomic features and immunotherapy outcomes.
  • It analyzed tumor samples from 887 CCA patients and found that MSI-H status was linked to significant genetic mutations and higher tumor mutation burden (TMB) compared to microsatellite stable (MSS) status.
  • Patients with MSI-H who received PD-1 inhibitor therapy experienced better overall survival and progression-free survival, indicating that MSI-H status and PD-L1 positivity could enhance immunotherapy effectiveness.
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  • Double-balloon endoscopy (DBE) is commonly used for diagnosing small-bowel Crohn's disease (CD), but misdiagnosis can happen due to inexperienced endoscopists and subjective assessments.
  • A study collected over 28,000 DBE images and trained a deep learning model, EfficientNet-b5, to accurately detect and grade CD lesions, including ulcers and stenosis.
  • The AI model demonstrated high accuracy rates, outperforming human endoscopists, suggesting it can enhance detection and management of small-bowel CD in clinical settings.
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The rapid development of computational pathology has brought new opportunities for prognosis prediction using histopathological images. However, the existing deep learning frameworks lack exploration of the relationship between images and other prognostic information, resulting in poor interpretability. Tumor mutation burden (TMB) is a promising biomarker for predicting the survival outcomes of cancer patients, but its measurement is costly.

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  • The study analyzes tumor genomes from over 10,000 cancer patients in China using advanced DNA sequencing technology to identify actionable genomic alterations.
  • It compares genetic changes and tumor characteristics between Chinese and American patient populations, highlighting both similarities and differences.
  • The research reveals that 64% of Chinese patients have clinically actionable genomic alterations, which could influence treatment decisions for targeted therapy and immunotherapy, aiding in personalized medicine approaches.
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Fully understanding the environmental implications of engineered nanomaterials is crucial for their safe and sustainable use. Cyanobacteria, as the pioneers of the planet earth, play important roles in global carbon and nitrogen cycling. Here, we evaluated the biological effects of molybdenum disulfide (MoS) nanosheets on a N-fixation cyanobacteria () by monitoring growth and metabolome changes.

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Hormone-like signaling peptides play essential roles in plant growth and development; however, few peptides regulating root development have been identified in rice (Oryza sativa). Here, we combined liquid chromatography-tandem mass spectrometry (LC-MS/MS) with whole-genome in silico screening for root-secreted peptides in rice. We identified the five-amino-acid PEPTIDE 1 (PEP1) encoded by OsPEP1 (LOC_Os11g09560).

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Introduction: Gastric cancer (GC) has a high incidence and mortality rate, especially in East Asians, and about 90% of GCs are adenocarcinomas. Histological and etiological heterogeneity and ethnic diversity make molecular subtyping of GC complicated, thus making it difficult to determine molecular division systems and standard treatment modalities. Limited cohorts from South Korea, Singapore, Australia, and Japan have been studied; however, the mutational landscape of gastric adenocarcinomas in Chinese patients is still unknown.

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Pancreatic ductal adenocarcinoma (PDAC), one of the most lethal human cancers, can be divided into head and body/tail cancers anatomically. We previously reported a prognostic relevance of tumour location in resectable PDAC. This study aimed to further explore the mechanism underlying the molecular diversity between the head and body/tail of PDACs.

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  • Understanding the interactions between engineered nanoparticles and plants is essential for improving agriculture, specifically looking at how Fe and FeO nanoparticles affect maize plants.
  • The study found that applying these nanoparticles significantly increased net photosynthesis rates and chlorophyll content, leading to notable increases in plant biomass (up to 34.6%).
  • Metabolomics analysis indicated that Fe-based nanoparticles triggered metabolic changes in maize, potentially enhancing photosynthesis by shutting down certain energy-consuming pathways.
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Lung cancer is the most prevalent cancer worldwide and non‑small cell lung cancer (NSCLC) is the most common subtype and accounts for 75% of all lung cancer cases. Although programmed death‑1/programmed death‑ligand‑1 (PD‑1/PD‑L1) blockade has shown good results in the clinic, numerous NSCLC patients still fail to respond to this therapy. In the current study, formalin‑fixed, paraffin‑embedded tumor and matched blood samples from 1,984 Chinese NSCLS patients were collected for detection of genomic alterations including single nucleotide variations, short and long insertions/deletions, copy number variations and gene rearrangements.

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Certain engineered nanoparticles (NPs) have unique properties that have exhibited significant potential for promoting photosynthesis and enhancing crop productivity. Understanding the fundamental interactions between NPs and plants is crucial for the sustainable development of nanoenabled agriculture. Leaf mesophyll protoplasts, which maintain similar physiological response and cellular activity as intact plants, were selected as a model system to study the impact of NPs on photosynthesis.

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Sustainable agriculture is a key component of the effort to meet the increased food demand of a rapidly increasing global population. Nano-biotechnology is a promising tool for sustainable agriculture. However, rather than acting as nanocarriers, some nanoparticles (NPs) with unique physiochemical properties inherently enhance plant growth and stress tolerance.

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Background: Incorporation of next-generation sequencing (NGS) technology into clinical utility in targeted and immunotherapies requires stringent validation, including the assessment of tumor mutational burden (TMB) and microsatellite instability (MSI) status by NGS as important biomarkers for response to immune checkpoint inhibitors.

Materials And Methods: We designed an NGS assay, Cancer Sequencing YS panel (CSYS), and applied algorithms to detect five classes of genomic alterations and two genomic features of TMB and MSI.

Results: By stringent validation, CSYS exhibited high sensitivity and predictive positive value of 99.

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Background: Non-small cell lung cancer (NSCLC) is one of the most common human malignancies and the leading cause of cancer-related death. Over the past few decades, genomic alterations of cancer driver genes have been identified in NSCLC, and molecular testing and targeted therapies have become standard care for lung cancer patients. Here we studied the unique genomic profile of driver genes in Chinese patients with NSCLC by next-generation sequencing (NGS) assay.

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RING finger protein 13 (RNF13) is a novel E3 ubiquitin ligase whose expression is associated with cancer development. However, its specific role in cancer progression and metastasis remains unclear. Here, a B16F10/LLC experimental pulmonary metastatic model was developed to examine the formation of metastatic foci in the lung.

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