Publications by authors named "Yunfeng Wu"

Aqueous zinc ion batteries (AZIBs) are promising energy storage solutions due to their high energy density and safety. However, developing cathode materials that offer both high energy density and durability for Zn ions storage remains challenging. Manganese (Mn) oxide-based cathodes have been developed for AZIBs due to their high discharge voltage and desirable capacity, but face challenges like poor conductivity, slow reaction kinetics, and dissolution during cycling.

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Background: Simnotrelvir has demonstrated potent anti-viral activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In a Phase II/III study, Simnotrelvir plus ritonavir (S/R, co-packaged) shortened the time to the resolution of symptoms in adult COVID-19 patients. However, real-world data on effectiveness of simnotrelvir/ritonavir against SARS-CoV-2 during XBB variant surges are still limited.

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The interactions among viruses and host plants are complex and fascinating because these organisms interact with and adapt to each other continuously. Many plant transcription factors play important roles in plant growth and development and in the resistance to viral infection. To facilitate the infection of plants, some viral proteins typically target and inhibit the function of plant transcription factors.

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Article Synopsis
  • Immunoglobulin A nephropathy (IgAN) is a kidney disease where understanding crescent formations in biopsies can help predict disease progression and patient outcomes.
  • A study analyzed data from 13 studies with nearly 12,000 IgAN patients, finding that higher proportions of crescents (especially over 25%) significantly increased the risk of adverse kidney outcomes and end-stage kidney disease (ESKD).
  • These findings suggest that monitoring crescent proportions could improve risk assessment and treatment decisions for people with IgAN.
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Glucose is a major energy substrate for cellular life activities, and its metabolic pathways include glycolysis, the pentose phosphate pathway, the hexosamine biosynthesis pathway, and the polyol pathway. Here, we review the glucose uptake pathways, metabolic characteristics, glucose transport, glucose metabolism-related enzymes, and biological importance in mammalian oocyte maturation, early embryo development, and embryonic stem cell proliferation and differentiation. Moreover, the interrelationships among glucose metabolism, female reproduction-related diseases and assisted reproductive technologies are focused.

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Wastewater treatment plants produce high quantities of excess sludge. However, traditional sludge dewatering technology has high energy consumption and occupies a large area. Dead-end forward osmosis (DEFO) is an efficient and energy-saving deep dewatering technology for sludge.

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Anterior cruciate ligament (ACL) plays an important role in stabilising the knee joint, prevents excessive anterior translation of the tibia, and provides rotational stability. ACL injuries commonly occur as a result of rapid deceleration, sudden change in direction, or direct impact to the knee during sports activities. Although several deep learning techniques have recently been applied in the detection of ACL tears, challenges such as effective slice filtering and the nuanced relationship between varying tear grades still remain underexplored.

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To explore the predictive value of the nomogram model based on multimodal ultrasound features for benign and malignant thyroid nodules of C-TIRADS category 4. A retrospective analysis was conducted on the general conditions and ultrasound features of patients who underwent thyroid ultrasound examination and fine needle aspiration biopsy (FNA) or thyroidectomy at the Affiliated Hospital of Zunyi Medical University from April 2020 to April 2023. Predictive signs for benign and malignant nodules of thyroid C-TIRADS category 4 were screened through LASSO regression and multivariate logistic regression analysis to construct a nomogram prediction model.

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Sulforaphane (SFN) exerts anticancer effect on various cancers including gastric cancer. However, the regulatory effect of SFN on programmed death-ligand 1 (PD-L1) and checkpoint blockade therapy in gastric cancer have not been elucidated. Here we demonstrated that SFN suppressed gastric cancer cell growth both in vitro and in vivo study.

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Powered by biomedical data mining and machine learning technologies, smart healthcare uses cutting-edge medical innovative tools to facilitate the development of sophisticated decision support systems for disease diagnosis and health informatics [...

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The tumor microenvironment (TME) plays an important role in dynamically regulating the progress of cancer and influencing the therapeutic results. Targeting the tumor microenvironment is a promising cancer treatment method in recent years. The importance of tumor immune microenvironment regulation by ultrasound combined with microbubbles is now widely recognized.

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The presence of viruses that spread to both plant and fungal populations in nature has posed intriguingly scientific question. We found a negative-strand RNA virus related to members of the family , named Valsa mali negative-strand RNA virus 1 (VmNSRV1), which induced strong hypovirulence and was prevalent in a population of the phytopathogenic fungus of apple Valsa canker () infecting apple orchards in the Shaanxi Province of China. Intriguingly, VmNSRV1 encodes a protein with a viral cell-to-cell movement function in plant tissue.

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The infection of host plants by many different viruses causes reactive oxygen species (ROS) accumulation and yellowing symptoms, but the mechanisms through which plant viruses counteract ROS-mediated immunity to facilitate infection and symptom development have not been fully elucidated. Most plant viruses are transmitted by insect vectors in the field, but the molecular mechanisms underlying virus‒host-insect interactions are unclear. In this study, we investigated the interactions among wheat, barley yellow dwarf virus (BYDV), and its aphid vector and found that the BYDV movement protein (MP) interacts with both wheat catalases (CATs) and the 26S proteasome ubiquitin receptor non-ATPase regulatory subunit 2 homolog (PSMD2) to facilitate the 26S proteasome-mediated degradation of CATs, promoting viral infection, disease symptom development, and aphid transmission.

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Phytoplasmas are phloem-restricted plant-pathogenic bacteria transmitted by insects. They cause diseases in a wide range of host plants, resulting in significant economic and ecological losses worldwide. Research on phytoplasmas has a long history, with significant progress being made in the past 30 years.

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Based on our previous finding that polysaccharide peptide (PSP) has substantial antiviral activity, we cultured strawberry plants infected with strawberry mild yellow edge virus (SMYEV) or strawberry vein banding virus (SVBV) in Murashige and Skoog (MS) media supplemented with PSP to test its ability to eliminate these viruses. PSP not only improved the elimination of SMYEV and SVBV but also promoted the growth and rooting of strawberry plants in tissue culture. On the 45th day, the average height of the 'Ningyu' strawberry plants in the 1-mg/ml PSP treatment group was 1.

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Background: Giant cell tumor of bone (GCTB) is a locally aggressive bone tumour aggravated by stromal cell proliferation and metastasis.

Objective: We investigated the mechanism of action of human chorionic gonadotropin (HCG) in mediating GCTB proliferation and invasion.

Methods: The expression of HCG was quantified using quantitative real-time PCR.

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This study aimed to compare the value of ultrasound elastography combined with contrast-enhanced ultrasound (CEUS) quantitative analysis in the differentiation of nodular fibrocystic breast change (FBC) from breast invasive ductal carcinoma (BIDC). We selected 50 patients each with nodular FBC and BIDC, who were admitted to the Affiliated Hospital of Zunyi Medical University from January 2018 to December 2021. Their ultrasonic elastic images and CEUS videos were collected, their ultrasound elastography scores and the ratio of strain rate (SR) of the lesions were determined, and the exported DICOM format videos of CEUS were quantitatively analyzed using VueBox software to obtain quantitative perfusion parameters.

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A 52 year old woman presented to the emergency department of Affiliated Hospital of Zunyi Medical University, Zunyi, China in May 2022, complaining of a palpable lower abdominal mass since two days. She denied haematuria, umbilical drainage, or any other urinary symptoms. Previous health record indicated that the patient was diagnosed with urachal inflammatory pseudotumour.

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Background: The aim of the study was to conduct a comprehensive performance evaluation of the Mindray CX-9000 fully automated coagulation analyzer for the detection of the seven coagulation items.

Methods: The performance of activated partial thromboplastin time (APTT), prothrombin time (PT), fibrinogen (FIB), thrombin time (TT), D-dimer (D-D), fibrinogen degradation product (FDP), and antithrombin Ⅲ (AT) was validated for precision, linear range, carryover contamination rate, reference interval validation, inter-method agreement, and anti-interference ability.

Results: The intra- and inter-precision (coefficient of variation, CV%) of all seven items was less than the target CV%; the carryover contamination rates for different concentrations and between items were < 10%.

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Article Synopsis
  • BYDV-GAV is a damaging virus spread by aphids that significantly impacts crop yields, especially in wheat, barley, and oats.
  • The study reveals that infection by BYDV-GAV triggers the activation of autophagy-related genes in wheat, leading to the formation of autophagosomes.
  • Researchers found that the viral movement protein interacts directly with a key autophagy-related gene (TaATG6), suggesting that wheat can mount a defense against BYDV-GAV by using the autophagy pathway.
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The long R&D process, the high risk, and the externalities of technological innovation are challenges that enterprises have to meet when making decisions on R&D investment. Governments share this risk with enterprises through preferential tax policies. We summarized China's preferential tax policies related to enterprises and R&D innovation, and used panel data of listed enterprises from 2013 to 2018 in the Growth Enterprises Market (GEM) of the Shenzhen Stock Exchange to explore the incentive effects of current tax policies on the R&D innovation of enterprises.

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Phytoplasmas are insect-borne bacterial pathogens capable of secreting effectors into host cells and interfering with host plant defense response processes. Previous studies have found that the Candidatus Phytoplasma tritici effector SWP12 binds to and destabilizes the wheat transcription factor TaWRKY74, increasing wheat susceptibility to phytoplasmas. Here, we used a Nicotiana benthamiana transient expression system to identify two key functional sites of SWP12 and screened a series of truncated mutants and amino acid substitution mutants to determine whether they inhibit Bax-induced cell death.

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The Immersed Boundary Method (IBM) has an advantage in simulating fluid-structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it is usually computationally intensive. For moving or deforming solids, the interpolation weights of all the immersed boundary points ought to be updated every time step, which takes quite a lot CPU time.

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Synopsis of recent research by authors named "Yunfeng Wu"

  • - Yunfeng Wu's recent research portfolio includes a diverse range of applications, focusing on reproductive biology, environmental sustainability through innovative water treatment methods, and advancements in cancer therapy and diagnostics.
  • - Notable findings include the review of glucose metabolism's role in oocyte maturation and embryo development, the enhancement of sludge dewatering technologies through forward osmosis, and the relationship between sulforaphane and immune checkpoint modulation in gastric cancer.
  • - The studies display a strong emphasis on integrating machine learning and predictive modeling in health informatics, showcasing potential breakthroughs in diagnostic tools for various diseases, including thyroid nodules and cancer, as well as novel mechanisms of plant-pathogen interactions in agricultural research.