Publications by authors named "Xiaofeng Zheng"

Article Synopsis
  • The study focuses on radioiodine-refractory differentiated thyroid cancer (RAI-R DTC), which is a major cause of thyroid-related deaths and has limited models for predicting iodine uptake.
  • Researchers created a primary tumor-derived organoid model from 20 DTC patients to assess and predict radioiodine uptake, comparing the organoids' properties to the original tumor tissue.
  • The results showed that RAI-avid organoids had significantly higher iodine uptake than RAI-R organoids, with a predictive accuracy of 95% for determining iodine-refractory cases, and highlighted the potential of using tyrosine kinase inhibitors to resensitize iodine uptake in certain patients.
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Background And Aim: Previous studies have demonstrated that adiposity, particularly obesity during midlife, may have a detrimental effect on cognitive function. This study aims to estimate the global prevalence of mild cognitive impairment (MCI) and dementia in elderly aged 60 years or above with overweight, obesity, and central obesity.

Methods: We searched PubMed, Embase, Web of Science, and Cochrane Library from inception to November 2023.

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Methicillin-resistant (MRSA), one of the most important zoonotic bacterial pathogens, necessitates innovative antibacterial strategies. Rosmarinic acid (RA) possesses various biological functions, including antibacterial and anti-inflammatory effects. This study aimed to explore the synergistic effects and mechanism of RA in conjunction with ceftiofur (CF) against MRSA.

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Background: Datopotamab deruxtecan (Dato-DXd), is a humanized anti-TROP2 IgG1 monoclonal antibody linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCXs) varying in TROP2 expression.

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Background: Psoriasis is a chronic inflammatory skin disease. The Wnt/β-catenin signaling pathway is essential for the regulation of adult stem cells, homeostasis, and tissue regeneration; however, the relationship between this pathway and interleukin (IL)-36γ in the pathogenesis of psoriasis remains unclear.

Methods: In this study, psoriasiform model mice were established using imiquimod (IMQ) induction.

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Purpose: Biliary tract cancers (BTCs), which are rare and aggressive malignancies, are rich in clinically actionable molecular alterations. A major challenge in the field is the paucity of clinically relevant BTC models which recapitulate the diverse molecular profiles of these tumors. The purpose of this study was to curate a collection of patient-derived xenograft (PDX) models that reflect the spectrum of genomic alterations present in BTCs to create a resource for modeling precision oncology.

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The progression and malignancy of many tumors are associated with increased tissue stiffness. Conversely, the oncogenically transformed cells can be confined in soft stroma. Yet, the underlying mechanisms by which soft matrix confines tumorigenesis and metastasis remain elusive.

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Article Synopsis
  • Resistance to DNA-damaging chemotherapy in breast cancer is linked to high levels of the protein TRPS1, which is associated with reduced drug effectiveness and poor patient outcomes.
  • * TRPS1 enhances the activity of DNA damage repair mechanisms in cancer cells and is involved in repairing DNA breaks through its association with other repair proteins.
  • * Targeting TRPS1 could potentially improve the effectiveness of chemotherapy for breast cancer patients by overcoming their resistance to treatment.
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To explore the relationship between postpartum psychological disorders and emotion regulation strategies and analyze the influencing factors of postpartum psychological disorders. This study was conducted using a cross-sectional design. A total of 230 postpartum women hospitalized in the Second Affiliated Hospital of Xuzhou Medical University from October 2022 to March 2023 were selected as the investigation objects.

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Extranodal natural killer/T cell lymphoma (ENKTL) shows a high rate of recurrence after chemoradiotherapy. Drug resistance can be mediated by the cargo of small extracellular vesicles (sEVs). Here, we show that high abundance of the transmembrane glycoprotein CD98hc in tumor cells and serum sEVs was associated with ENKTL progression and drug resistance.

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CDK1 has been known to be the sole cyclin-dependent kinase (CDK) partner of cyclin B1 to drive mitotic progression. Here we demonstrate that CDK5 is active during mitosis and is necessary for maintaining mitotic fidelity. CDK5 is an atypical CDK owing to its high expression in post-mitotic neurons and activation by non-cyclin proteins p35 and p39.

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The () cytotoxin-associated gene pathogenicity island (PAI) encodes 31 genes that assemble the type IV secretion system (T4SS) apparatus, which includes structures such as the outer membrane core complex, periplasmic ring, inner membrane complex and bacterial hairs. These proteins interact with each other to inject CagA into the host gastric epithelium. There are also individual unique functions that help interfere with host cellular pathways, modulate the immune response and colonize the host for a long time.

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Cancer cells with BRCA1/2 deficiencies are sensitive to poly (ADP-ribose) polymerase (PARP) inhibitors. We evaluated the efficacy of talazoparib in DNA-Damage Repair (DDR)-altered patients. In this phase II trial, patients were enrolled onto one of four cohorts based on molecular alterations: (1) somatic BRCA1/2, (2) other homologous recombination repair pathway, (3) PTEN and (4) germline BRCA1/2.

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Background: Women at middle age are puzzled by a series of menopausal disturbances, can be distressing and considerably affect the personal, social and work lives. We aim to estimate the global prevalence of nineteen menopausal symptoms among middle-aged women by performing a systematic review and meta-analysis.

Methods: Comprehensive search was performed in multiple databases from January, 2000 to March, 2023 for relevant studies.

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Salmonella is considered as one of the most common zoonotic /foodborne pathogens in the world. The application of bacteriophages as novel antibacterial agents in food substrates has become an emerging strategy. Bacteriophages have the potential to control Salmonella contamination.

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An effective strategy to improve the proton conductivity of metal-organic frameworks (MOFs) is to regulate the pore size of composite materials. In this work, composite materials of MOF-808@MOG-808- ( is the mass ratios of MOF-808 to MOG-808) was successfully prepared by grinding and blending. MOF-808@MOG-808-1:2 was optimal for its suitable pore structure, which facilitates the practical construction of hydrogen bonding networks, promotes rapid and stable proton conduction, and enables the proton conductivity, achieving a 1 + 1 > 2 effect.

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Cell membrane-based nanovesicles (CMNVs) play pivotal roles in biomolecular transportation in living organisms and appear as attractive bioinformed nanomaterials for theranostic applications. However, the current surface-engineering technologies are limited in flexibility and orthogonality, making it challenging to simultaneously display multiple different ligands on the CMNV surface in a precisely controlled manner. Here, we developed a DNA scaffold-programmed approach to orthogonally engineer CMNVs with versatile ligands.

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One new flavonostilbene glycoside, polygonflavanol C (), two new dimeric stilbene glycosides, multiflorumiside M and multiflorumiside N (-), one new diphenyl ethanol glycoside, ()-2,3,5,4'-tetrahydroxy-diphenylethanol 2---D-glucopyranoside (), and one new deoxybenzoin glycoside, 2,4,3',5'-tetrahydroxy-6-methyl-deoxybenzoin 2---D-glucopyranoside (), together with six known ones (-), were isolated from the roots of . Their structures were elucidated by the comprehensive spectroscopic analyses. In addition, compounds and showed significantly anti-inflammatory activity.

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Seven different substrates were prepared by mixing red soil, humus and river sand in different volume ratios and the growth and yield of bulbils in different substrates was investigated. The growth of seedlings were tracked during the reproductive period, with measurements taken of indicators such as petiole length, petiole basal diameter and leaf size during the late period of leaf expansion. Number of surviving plants, weights and sizes of corms, and leaf bulbils were recorded after lodging.

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As a major energy city in China, Yulin City has faced huge challenges to the ecological environment with its rapid economic development and rapid urbanization. Therefore, it is of great significance to study the impact of land use changes on habitat quality. Based on three periods of land use data in Yulin City in 1995, 2005 and 2015, the PLUS model was used to simulate the land use changes in 2015.

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Background: Porcine epidemic diarrhea virus (PEDV), a type of coronavirus, is one of the main pathogens that can infect pigs of all ages. It causes diarrhea and acute death of newborn piglets, resulting in massive economic losses to the worldwide swine industry. While vaccination remains the primary approach in combating PEDV, it often fails to address all the challenges posed by the infection, particularly in light of the emergence of evolving mutant strains.

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Esophagogastric variceal bleeding (EVB) is one of the common digestive system emergencies with poor prognosis and high rate of rebleeding after treatment. To explore the effects of endoscopic therapy and drug therapy on the prognosis and rebleeding of patients with EVB, and then select better treatment methods to effectively improve the prognosis. From January 2013 to December 2022, 965 patients with EVB who were hospitalized in gastroenterology Department of the 940 Hospital of Joint Logistic Support Forces of PLA were retrospectively analyzed.

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Assistive medical image classifiers can greatly reduce the workload of medical personnel. However, traditional machine learning methods require large amounts of well-labeled data and long learning times to solve medical image classification problems, which can lead to high training costs and poor applicability. To address this problem, a novel unsupervised breast cancer image classification model based on multiscale texture analysis and a dynamic learning strategy for mammograms is proposed in this paper.

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