Publications by authors named "Shujian Wu"

Article Synopsis
  • The study evaluates how effective machine learning is in distinguishing between invasive and non-invasive breast cancer using advanced imaging techniques.
  • A retrospective analysis of 171 patients was conducted, utilizing various machine learning models, with significant findings that the Decision Tree model performed best in classifying the cancer types.
  • Results showed that the integration of automated breast volume scanning and virtual touch quantification enhances preoperative differentiation, which can improve clinical decision-making for breast cancer treatment.
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Rationale And Objectives: This study aims to evaluate the effectiveness of integrating clinical data and quantitative CT parameters with machine learning techniques in forecasting the short-term outcomes of severe COVID-19 in elderly patients.

Materials And Methods: In this retrospective study, we analyzed the clinical profiles and chest quantitative CT parameters of 239 elderly patients with severe COVID-19 admitted for treatment. The cohort included 61 deceased patients (death group) and 178 who recovered and were discharged (survival group).

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Background: JNJ-78306358 is a bispecific antibody that redirects T cells to kill human leukocyte antigen-G (HLA-G)-expressing tumor cells. This dose escalation study evaluated the safety, pharmacokinetics, pharmacodynamics, and preliminary antitumor activity of JNJ-78306358 in patients with advanced solid tumors.

Methods: Adult patients with metastatic/unresectable solid tumors with high prevalence of HLA-G expression were enrolled.

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Background: This study evaluates the efficacy of integrating MRI deep transfer learning, radiomic signatures, and clinical variables to accurately preoperatively differentiate between stage T2 and T3 rectal cancer.

Methods: We included 361 patients with pathologically confirmed stage T2 or T3 rectal cancer, divided into a training set (252 patients) and a test set (109 patients) at a 7:3 ratio. The study utilized features derived from deep transfer learning and radiomics, with Spearman rank correlation and the Least Absolute Shrinkage and Selection Operator (LASSO) regression techniques to reduce feature redundancy.

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Oxidative stress (OS) and disruption of proteostasis caused by aggregated proteins are the primary causes of cell death in various diseases. Selenopeptides have shown the potential to control OS and alleviate inflammatory damage, suggesting promising therapeutic applications. However, their potential function in inhibiting proteotoxicity is not yet fully understood.

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Rationale And Objectives: This study aimed to identify independent prognostic factors for gastric cancer (GC) patients after curative resection using quantitative computed tomography (QCT) combined with prognostic nutritional index (PNI), and to develop a nomogram prediction model for individualized prognosis.

Materials And Methods: This study retrospectively analyzed 119 patients with GC who underwent curative resection from January 2016 to March 2018. The patients' preoperative clinical pathological data were recorded, and all patients underwent QCT scans before and after curative resection to obtain QCT parameters: bone mineral density (BMD), skeletal muscle area (SMA), visceral fat area (VFA), subcutaneous fat area (SFA) and CT fat fraction (CTFF), then relative rate of change in each parameter (ΔBMD, ΔSMA, ΔVFA, ΔSFA, ΔCTFF) was calculated after time normalization.

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Ulcerative colitis (UC) is a chronic and recurrent inflammatory disease with an unknown pathogenesis and increasing incidence. The objective of this study is to investigate the impact of prophylactic treatment with on UC. The findings demonstrate that prophylactic supplementation of powder effectively mitigates disease symptoms in DSS-injured mice, while also reducing the secretion of pro-inflammatory cytokines.

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The clinical symptoms of ≤ 5 cm gastric stromal tumor (GST) and gastric schwannoma (GS) are similar, but the treatment regimens are different. This study explored the value of computed tomography (CT) combined with machine learning (ML) algorithms to find the best model to discriminate them. A total of 126 patients with GST ≤ 5 cm and 35 patients with GS ≤ 5 during 2013-2022 were included.

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Rationale And Objectives: This study aimed to create and verify a nomogram for preoperative prediction of Ki-67 expression in breast malignancy to assist in the development of personalized treatment strategies.

Materials And Methods: This retrospective study received approval from the institutional review board and included a cohort of 197 patients with breast malignancy who were admitted to our hospital. Ki-67 expression was divided into two groups based on a 14% threshold: low and high.

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Selenopeptides are promising candidates for intervening in neuroinflammation; however, the key role of selenium (Se) in selenopeptides remains poorly understood. To address this gap, we compared the neuroprotective effects of selenopeptide Val-Pro-Arg-Lys-Leu-SeMet (namely, Se-P1) and its native peptide Val-Pro-Arg-Lys-Leu-Met (namely, P1). Our results demonstrate that Se-P1 treatment exhibits superior antioxidant and antineuroinflammatory effects in PC12 cells and lipopolysaccharide (LPS)-injured mice compared to P1.

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Introduction: Cancer immunotherapies have limited efficacy in prostate cancer due to the immunosuppressive prostate microenvironment. Prostate specific membrane antigen (PSMA) expression is prevalent in prostate cancer, preserved during malignant transformation, and increases in response to anti-androgen therapies, making it a commonly targeted tumor associated antigen for prostate cancer. JNJ-63898081 (JNJ-081) is a bispecific antibody targeting PSMA-expressing tumor cells and CD3-expressing T cells, aiming to overcome immunosuppression and promoting antitumor activity.

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Florfenicol (FF), a widely used veterinary antibiotic, has been frequently detected in both aquatic environments and human body fluids. As a result, there is a growing concern on its health risks. Previous studies have revealed various toxicities of FF on animals, while there are relatively limited researches on its metabolic toxicity.

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Oxidative stress (OS) is created by an imbalance between reactive oxygen species and antioxidant levels. OS promotes inflammation and is associated with many diseases, such as neurodegenerative disorders, diabetes, and cardiovascular disease. Nrf2 and NF-κB are critical in the cellular defence against OS and the regulators of inflammatory responses, respectively.

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Improved gut microbes and nutritious metabolites have been considered as the mediators of health benefits from indigestible polysaccharides, but their role in the anti-obesity effect of polysaccharides from Cordyceps militaris (CMP) remains elusive. This study aims to explore the potential mediators of the anti-obesity effects of CMP in high-fat diet (HFD)-fed mice using 16S rRNA sequencing and untargeted metabolomics analysis. The results showed that CMP supplementation in HFD-fed mice reduced body weight, fat accumulation, pro-inflammatory cytokine levels, and impaired glucose tolerance as well as gut barrier.

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Polysaccharide from Agrocybe cylindracea (ACP) has been demonstrated with various health benefits, but its anti-obesity effect and underlying mechanisms remain poorly understood. This study aimed to investigate the beneficial effects of ACP in high-fat diet (HFD)-induced obese mice by targeting gut microbiota and metabolites. 9-week ACP supplementation in HFD-fed mice reduced body weight, adipose accumulation, impaired insulin resistance, lipid levels, and liver injuries, which were negatively correlated to the pro-inflammatory factors, particularly tumor necrosis factor-alpha (TNF-α) and interleukin- 6 (IL-6).

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The effect of diet on the composition of gut microbiota and the consequent impact on disease risk have been of expanding interest. The present review focuses on current insights of changes associated with dietary protein-induced gut microbial populations and examines their potential roles in the metabolism, health, and disease of animals. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) protocol was used, and 29 highly relevant articles were obtained, which included 6 mouse studies, 7 pig studies, 15 rat studies, and 1 in vitro study.

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Increasing attention focuses on the relationship between neuroinflammation and Alzheimer's disease (AD). The reports on the microbiota-gut-brain axis reveal that the regulation by gut microbiota is an effective way to intervene in neuroinflammation-related AD. In this study, two novel selenium peptides (Se-Ps), VPRKL()M (Se-P1) and RYNA()MNDYT (Se-P2), with neuroprotection effects were obtained from Se-enriched .

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Scope: Whole-food-based strategies to prevent metabolic diseases are growing interests. Agrocybe cylindracea (AC) is a major edible mushroom with high values of nutrition, but little is known about its health benefits as a portion of whole food.

Methods And Results: Diet-induced obese, C57BL/6J mice are fed an high-fat diet (HFD) with or without AC (3% or 5%, w/w in the diet) for 9 weeks.

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Bronchiectasis is a chronic inflammation of the bronchi with recurrent infections and hemoptysis. The MAGELLAN study compared oral rivaroxaban, 10 mg once daily (QD), for 35 ± 4 days with subcutaneous enoxaparin 40 mg QD for 10 ± 4 days followed by placebo for 25 ± 4 days to prevent venous thromboembolism in patients hospitalized with an acute medical illness. MAGELLAN included a subset of patients with bronchiectasis.

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Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Recently, sustained neuroinflammatory response in microglia and astrocytes has been found to cause the deposition of amyloid beta plaques and the hyperphosphorylation of tau protein, thereby accelerating AD progression. The lipoxin A4-transcription factor nuclear factor-kappa B and mitogen-activated protein kinase pathways have been shown to play important roles in the regulation of inflammatory processes.

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Neurodegenerative diseases are considered to be among the diseases most threatening to human beings. Increasing evidence shows that antioxidant hydrolysates/peptides with neuroprotective effects may relieve neurodegenerative diseases. However, related research in mushrooms, one of the richest sources of antioxidant hydrolysates/peptides, is in its infancy.

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This study evaluated the food safety and proximate composition of shrimp head (SH). Potentially toxic elements in SH were below European Union legislation limits. SH had a high content of tasting amino acids (sweet and umami amino acids was 57%) and a high content of functional amino acids (essential amino acids was 37%).

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Article Synopsis
  • Antithrombotic therapies can lead to an increased risk of abnormal uterine bleeding, particularly in women with conditions like venous thromboembolism (VTE) and atrial fibrillation (AF), but data specific to AF patients are limited.
  • This study analyzed real-world data from 2010 to 2018 to compare the incidence of severe uterine bleeding among women taking different anticoagulants, including rivaroxaban, apixaban, dabigatran, and warfarin.
  • Results indicated a low overall incidence of severe uterine bleeding, yet there was a notable risk increase for rivaroxaban compared to warfarin, apixaban, and dabigatran in women with AF,
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is a promising source of bioactive compounds. However, knowledge of the antioxidant behaviors protein hydrolysates (PGPHs) is limited. In this study, PGPHs were prepared with papain, alcalase, flavourzyme, pepsin, and pancreatin, respectively.

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