Luping Ma

Clinical utility of large language models in metastatic prostate cancer: A multicenter expert validation for decision support

Yiqun Chen, Kai Hui He, Weinuo Qu, Luping Ma et autres

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Network analysis of optimal deep or machine learning strategies for classification and detection of Alzheimer’s disease based on MRI scanning

Qinyu Zhang, Luping Ma, Lulei Zhao, Shaofeng Zhu et autres

Background: Alzheimer's disease (AD) presents a significant global health challenge, with its prevalence projected to increase substantially by 2050. Despite its widespread impact, the underlying causes and mechanisms remain incompletely understood, complicating efforts toward effective diagnosis and treatment. Pathologically, AD is marked …

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Anomalous Systemic Arterial Supply to the Left Basal Segment With Arterial Dissection of the Feeding Artery: A Case Report and Literature Review

Luping Ma, Ruiming Xia, Zhongqiang Yu, Liang Wang et autres

Anomalous systemic arterial supply to the left basal segment is a rare congenital vascular anomaly, particularly when complicated by dissection of the feeding artery. This case report aims to present a unique instance of this condition and to review relevant literature. We …

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Investigating the Correlation Between Gray Matter Volume Changes and Cognitive Function Among Alzheimer's Disease Patients: An MRI-Based Analysis

Quan Sun, Luping Ma, Lulei Zhao, Mengfei Ye et autres

OBJECTIVE: Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive cognitive impairment and memory dysfunction. This study aims to explore changes of gray matter volume and their relationship with cognitive and memory function in AD patients using magnetic resonance imaging-based analysis. …

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Association of metabolites on ischemic stroke subtypes: a 2-sample Mendelian randomization study

Jingyuan Zhang, Anning Wang, Yanyan Zhao, Luping Ma et autres

Background Metabolomics is increasingly being utilized in IS research to elucidate the intricate metabolic alterations that occur during ischemic stroke (IS). However, establishing causality in these associations remains unclear between metabolites and IS subtypes. In this study, we employ Mendelian randomization (MR) …

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Anomalous systemic artery supply to the left basal lung with arterial dissection of the feeding artery: a case report and literature review

Luping Ma, Ruiming Xia, Zhongqiang Yu, Liang Wang et autres

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Roles of gut microbiome in gastroesophageal reflux disease: A Mendelian randomization study

Jingyuan Zhang, Anning Wang, Luping Ma, Weikai Zhu et autres

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Integrated bioinformatics analysis of microarray data from non-small cell lung cancer

Lulu Feng, Wenping Cai, Shan Jin, Cai-Pu Chun et autres

Non-small cell lung cancer (NSCLC), with its high mortality rate, lack of early diagnostic markers and prevention of distant metastases are the main challenges in treatment. To identify potential miRNAs and key genes in NSCLC to find new biomarkers and target gene …

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Identification of a novel competing endogenous RNA network linked to the prognosis of prostate cancer

Luping Ma, Yongcheng Song, Changtao Li, Qiang Li et autres

Abstract According to mounting evidence, competing endogenous RNAs (ceRNA) play a significant role in the tumorigenesis and development of cancer. Prostate cancer (PCa) is a common malignancy among men. Nevertheless, reliable indicators for the early diagnosis and prognosis of Pca are still …

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Risk Correlation Analysis between Polycystic Ovary Syndrome (PCOS) and Serum Visfatin Levels in Middle-Aged Women: Systematic Review and Meta-Analysis

Jie Chen, Lingmin Hu, Yingchun Ling, Yuhua Xu et autres

Background: Polycystic ovary syndrome (PCOS) is an endocrine disorder that occurs frequently in women of childbearing age and is associated with insulin resistance. Serum visfatin can affect insulin resistance by binding to insulin receptors and further affect the occurrence and development of …

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Integrated Network Analysis to Determine CNN1, MYL9, TAGLN, and SORBS1 as Potential Key Genes Associated with Prostate Cancer

Changtao Li, Lijuan Pang, Fangfang Jin, Yongcheng Song et autres

BACKGROUND: Prostate cancer (PCa) is challenging to treat. It is necessary to screen for related biological markers to accurately predict the prognosis and recurrence of prostate cancer. METHODS: Three data sets, GSE28204, GSE30521, and GSE69223, from the Gene Expression Omnibus (GEO) database …

PEG Gels Significantly Improve the Storage Stability of Nucleic Acid Preparations

Peng‐Fei Cui, Luping Ma, Pengju Jiang, Cheng Wang et autres

Currently, nucleic acid preparations have gained much attention due to their unique working principle and application value. However, as macromolecular drugs, nucleic acid preparations have complex construction and poor stability. The current methods to promote stability face problems such as high cost …

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