Publications by authors named "Meng-Xiao Liu"

Ferroptosis, which depends on iron ions to generate reactive oxygen species (ROS), has been proved to be an effective strategy for cancer therapy. However, cells will initiate different programs, including reducing iron uptake and storing excess iron in ferritin, to lower the intracellular iron concentration. In this work, we reported a simple, one-pot method to synthesize bovine serum albumin stabilized MnFeO nanoparticles (MnFeO@BSA NPs) for ferroptosis therapy of cancer.

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  • Sepsis is a serious condition caused by an uncontrolled immune response to infection, leading to organ failure and high death rates, but current diagnostic methods for it are not very effective.
  • This study explores new potential biomarkers for sepsis by analyzing multiple datasets to identify genes that could help improve diagnosis, culminating in the identification of two specific genes.
  • One of these genes showed promise as a diagnostic tool, accurately distinguishing between different types of sepsis and exhibiting notable changes in expression levels in a mouse model of sepsis.
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  • This study investigates a new method using fractional-order calculus (FROC) combined with advanced MRI technology to distinguish between benign and malignant breast lesions.* -
  • Out of 178 breast lesions examined, the research found that malignant lesions had lower diffusion coefficients and ADC values, while certain model parameters showed notable diagnostic accuracy and sensitivity.* -
  • The findings suggest that the SMS-SSEPI-DWI FROC model not only delivers high-quality images quickly but also offers reliable diagnostic performance, particularly in differentiating lesion types.*
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Objectives: To investigate the incremental prognostic value of left ventricular (LV) entropy in a large multi-center population with coronary atherosclerotic heart disease (CAD).

Background: Current risk stratification of patients with CAD is imprecise and not accurate enough.

Methods: A total of 314 CAD patients who underwent cardiovascular magnetic resonance (CMR) late gadolinium enhancement (LGE) at two medical centers in China between October 2015 and July 2022 were included in this study.

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The aim of this study is to determine whether dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI)-based quantitative parameters and the extracellular volume fraction (ECV) can differentiate small-cell lung cancer (SCLC) from non-small-cell lung cancer (NSCLC), squamous-cell carcinoma (SCC) from adenocarcinoma (Adeno-Ca), and NSCLC with lymph node metastasis from NSCLC without lymph node metastasis. We prospectively enrolled patients with lung cancer (41 Adeno-Ca, 29 SCC, and 23 SCLC) who underwent DCE-MRI and enhanced T1 mapping prior to histopathological confirmation. Quantitative parameters based on DCE-MRI and ECV based on T1 mapping were compared between SCLC and NSCLC patients, between SCC and Adeno-Ca patients, and between NSCLC patients with and without lymph node metastasis.

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Objectives: To analyze myocardial fibrosis in dilated cardiomyopathy (DCM) patients with no late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) using T1 mapping and extracellular volume (ECV) and investigate the potential correlation with left ventricular (LV) dilation and dysfunction.

Methods: The study included 41 DCM patients without LGE and 79 healthy controls. T1 and ECV were compared between the two groups using multivariable logistic regression analysis.

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  • The study investigates the use of readout-segmented echo-planar diffusion-weighted imaging (RESOLVE) and its apparent diffusion coefficient (ADC) values as biomarkers for rectal adenocarcinoma.
  • Significant differences in RESOLVE ADC values were found between pathologic types, with ulcer-type cancer showing higher values than eminence-type.
  • Additionally, EGFR-positive tumors had lower RESOLVE ADC values compared to EGFR-negative tumors, possibly indicating differences in biological behavior, while no significant differences were noted across other pathological factors like differentiation and TN stages.
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