Publications by authors named "Xingru Lu"

Article Synopsis
  • - Lead is a harmful environmental pollutant that can accumulate in the kidneys and cause damage, and the effects of Sparassis latifolia polysaccharide (SLP) on lipid metabolism abnormalities due to lead exposure are not well understood.
  • - This study used mice to investigate kidney damage and changes caused by lead, examining key signaling pathways through lipidomics and transcriptomics to identify affected metabolites and genes linked to oxidative stress, inflammation, and autophagy.
  • - Results showed that SLP treatment regulated abnormal lipid metabolism in the kidneys primarily by reducing oxidative stress and its related impacts on autophagy and inflammation, suggesting potential for SLP as a therapeutic intervention for lead-induced kidney injury.
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  • - The study investigates the use of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) radiomics to predict lymphovascular invasion (LVI) in invasive breast cancer patients, focusing on features from different phases of DCE-MRI.
  • - A retrospective analysis of 173 breast cancer patients was conducted, with data split into training and validation sets, leading to the creation of models based on various MRI phases and a combined multiphases radiomics nomogram for assessing LVI risk.
  • - Key predictors identified included axillary lymph node status and Ki-67 levels, with various models evaluated for predictive performance using statistical methods including receiver operating characteristic (ROC) curves and decision curve analysis (DCA).
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  • - This study investigates how accurately ultrasound imaging-based radiomics can predict early responses to neoadjuvant chemotherapy in breast cancer patients.
  • - Researchers analyzed eight eligible studies and found that the average quality of these studies was relatively low, but the pooled diagnostic metrics indicated promising sensitivity (87%) and specificity (78%) for this method.
  • - The authors conclude that while ultrasound-based radiomics could be a valuable tool for evaluating treatment responses, more high-quality, multicenter research is needed to validate these results.
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Objective: To investigate the potential value of quantitative parameters derived from synthetic magnetic resonance imaging (syMRI) for discriminating axillary lymph nodes metastasis (ALNM) in breast cancer patients.

Materials And Methods: A total of 56 females with histopathologically proven invasive breast cancer who underwent both conventional breast MRI and additional syMRI examinations were enrolled in this study, including 30 patients with ALNM and 26 with non-ALNM. SyMRI has enabled quantification of T1 relaxation time (T1), T2 relaxation time (T2) and proton density (PD).

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  • * In vitro tests showed that A2 β-CN can stimulate the immune system, while animal studies indicated it helped reduce damage to the spleen and boosted the levels of important immune markers like IL-17A, IgG, and IgA.
  • * Additionally, A2 β-CN improved gut health by balancing beneficial and harmful bacteria, increasing short-chain fatty acids production, and promoting a diverse gut microbiome, suggesting its potential for enhancing immune system and gut health in future dairy product applications.
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  • The study investigates the effects of Artemisia argyi (A. argyi) essential oils on fish liver diseases associated with intensive fish farming, specifically focusing on hepatobiliary syndrome.
  • Using adult zebrafish as a model, researchers found that A. argyi treatment reduced liver damage caused by ethanol, improved antioxidant levels, and altered the expression of inflammatory cytokines through the PPAR-γ/NF-κB pathway.
  • Additionally, A. argyi essential oil significantly modified the gut microbiota composition and enhanced protective intestinal tissue markers, suggesting its potential as a therapeutic agent for liver health in fish.
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  • Research indicates that miR-21 is frequently found at abnormal levels in breast cancer patients, making it a potential diagnostic biomarker.
  • The study conducted a comprehensive analysis of literature from various databases, assessing the quality of studies and using statistical tools to analyze the data.
  • Findings from nine studies comprising 2,048 patients suggest that miR-21 has strong diagnostic value for breast cancer, with recommendations to enhance its effectiveness by combining it with other microRNAs.
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  • - The study aimed to assess the effectiveness of 6 imaging techniques in distinguishing glioma recurrence from changes post-radiotherapy by conducting a network meta-analysis based on direct comparison studies.
  • - Researchers searched multiple databases and included 15 relevant articles to evaluate the diagnostic capabilities of various imaging modalities, with the F-FET technique showing the highest accuracy and sensitivity.
  • - The findings suggest that F-FET and F-FDOPA are more valuable in diagnosing glioma recurrence compared to other methods, indicating a moderate quality of evidence overall.
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Background: Accurate diagnosis of axillary lymph node metastasis (ALNM) of breast cancer patients is important to guide local and systemic treatment.

Purpose: To evaluate the diagnostic performance of different imaging modalities for ALNM in patients with breast cancer.

Study Type: Systematic review and network meta-analysis (NMA).

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  • - Obesity is a major global health issue linked to conditions like diabetes and high cholesterol, and while probiotics like J1 are being tested as treatments, their exact mechanisms are not well understood.
  • - In an experiment with obese mice, J1 administration resulted in weight loss, reduced fat mass, improved insulin sensitivity, and changes in gut microbiota and bile acid composition.
  • - The study found that J1's effectiveness may involve altering FXR and TGR5 signaling pathways, leading to decreased fat accumulation in the liver and promoting the browning of adipose tissue, all of which are connected to changes in gut bacteria.
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With the rapid development of communication technology, digital technology has been widely used in all walks of life. Nevertheless, with the wide dissemination of digital information, there are many security problems. Aiming at preventing privacy disclosure and ensuring the safe storage and sharing of image and video data in the cloud platform, the present work proposes an encryption algorithm against neural cryptography based on deep learning.

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Objective: To explore the efficacy of the quantitative parameter histogram analysis of intravoxel incoherent motion (IVIM) for different molecular prognostic factors of breast cancer.

Materials And Methods: A total of 72 patients with breast cancer who were confirmed by surgical pathology and underwent preoperative magnetic resonance imaging (MRI) were analyzed retrospectively. A region of interest (ROI) was drawn in each slice of the IVIM images.

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Purpose: To evaluate and compare the diagnostic performance of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting the pathological response of breast cancer to neoadjuvant chemotherapy (NAC).

Methods: We searched PubMed, EMBASE, Cochrane Library, and Web of Science systematically to identify relevant studies from inception to December 2020. The Quality Assessment of Diagnostic Accuracy Studies 2 tool was used to assess the methodological quality of the included studies.

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Background: To investigate the value of 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) in diagnosing local tumor invasion (T stage), evaluating regional lymph node involvement (N stage), and detecting distant metastasis (M stage) in breast cancer patients.

Methods: A comprehensive computer search and manual search were performed to select any potentially eligible studies that evaluated the diagnostic efficacy of 18F-FDG PET/MRI in the tumor-node-metastasis (TNM) staging of breast cancer. Data from the included studies were extracted to calculate the pooled sensitivity, specificity, and area under the curve (AUC) to evaluate the value of 18F-FDG PET/MRI in TNM staging.

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Rationale And Objectives: To assess differences of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) parameters at different postcontrast time points (TPs), and to explore the predictive value of DCE-MRI parameters for axillary lymph node (ALN) metastasis of breast cancer.

Materials And Methods: A total of 107 breast cancer patients were included retrospectively, and 50 phases were collected on DCE-MRI for each patient. DCE-MRI parameters Ktrans, Kep, Ve, TTP, Peak, Washin, Washout, and AUC were extracted from the images at 67.

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Article Synopsis
  • The study investigates the effectiveness of contrast-enhanced magnetic resonance imaging (CEMRI) in detecting residual or recurrent hepatocellular carcinoma (HCC) in patients after undergoing transarterial chemoembolization (TACE).
  • A systematic review and meta-analysis were conducted, analyzing 13 studies that included 721 nodules to evaluate the diagnostic accuracy of CEMRI.
  • Results showed high pooled sensitivity (91%) and specificity (93%) for CEMRI, indicating it is a reliable diagnostic tool, especially in prospective studies.
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  • The report discusses the development of a new modified thrombin-binding aptamer (TBA) that incorporates anti-guanine bases and a loop-locked nucleic acid (LNA) to enhance binding to thrombin.
  • Techniques like NMR, circular dichroic spectroscopy, and molecular modeling were used to analyze the three-dimensional structure of two G-quadruplexes formed by the modifications.
  • The modifications not only improve the aptamer's stability and affinity for thrombin but also maintain strong inhibitory activity, suggesting that LNA modifications significantly enhance the aptamer's properties.
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  • - This meta-analysis evaluates the effectiveness of three-dimensional time-of-flight magnetic resonance angiography (3D-TOF-MRA) in diagnosing intracranial aneurysms (IA) by analyzing data from 18 studies with a total of 3463 patients.
  • - Results showed high diagnostic performance with sensitivity (89%) and specificity (94%), indicating that 3D-TOF-MRA is reliable for detecting IAs, especially in cases without subarachnoid hemorrhage.
  • - The study concludes that 3D-TOF-MRA is an excellent tool for assessing intracranial aneurysms and could be an important option for managing patients with this condition.
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  • The TRIM2 protein acts as an E3 ubiquitin ligase, and its loss of function can lead to early-onset axonal neuropathy.
  • TRIM2 belongs to the TRIM-NHL protein family and has a unique structure consisting of various domains, including RING finger, B-box, a coiled-coil, and an NHL domain.
  • Researchers successfully expressed, purified, and crystallized a specific segment of TRIM2, determining its crystal structure, which diffracted X-rays to a high resolution and confirmed the presence of multiple protein molecules in the crystallized form.
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  • Lysophosphatidic acid (LPA) is a key molecule involved in cell signaling, lipid composition, and membrane function, making its regulation crucial for cellular health.* -
  • The study focuses on the crystal structures of lysophosphatidic acid phosphatase type 6 (ACP6), which breaks down LPA into monoacylglycerol and phosphate, highlighting its unique binding properties and important structural features.* -
  • Findings reveal that ACP6 has specific residues critical for binding and catalytic activity, along with a water channel aiding in the hydrolysis of LPA, suggesting an efficient mechanism for the enzyme's function.*
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