AIMC Topic: Serpins

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Investigation of serum neuroserpin levels in pregnant women diagnosed with pre-eclampsia: a prospective case-control study.

BMC pregnancy and childbirth May 10, 2025
OBJECTIVE: Neuroserpin, a serine protease inhibitor, is recognized for its anti-inflammatory and neuroprotective properties. Given the central role of inflammation and neurological involvement in the pathophysiology of preeclampsia, this study aimed ...
Neuropeptides Adult Severity of Illness Index Gestational Age Case-Control Studies Pregnancy ROC Curve Serpins Humans Female Neuroserpin Pre-Eclampsia Prospective Studies Young Adult Turkey Biomarkers
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SERPINA3: A Novel Therapeutic Target for Diabetes-Related Cognitive Impairment Identified Through Integrated Machine Learning and Molecular Docking Analysis.

International journal of molecular sciences Feb 24, 2025
Diabetes-related cognitive impairment (DCI) is a severe complication of type 2 diabetes mellitus (T2DM), with limited understanding of its molecular mechanisms hindering effective therapeutic development. This study identified SERPINA3 as a potential...
Female Diabetes Mellitus, Type 2 Aged Hypoglycemic Agents Male Humans Sulfonylurea Compounds Middle Aged Serpins Machine Learning Molecular Docking Simulation Cognitive Dysfunction
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as a Novel Biomarker for Colon Cancer Bone Metastasis with Machine Learning and Immunohistochemistry Validation.

Cancer biotherapy & radiopharmaceuticals Oct 18, 2024
Bone metastasis (BM) is a serious clinical symptom of advanced colorectal cancer. However, there is a lack of effective biomarkers for early diagnosis and treatment. RNA-seq data from public databases (GSE49355, GSE101607) were collected and normal...
Serpins Machine Learning Humans Prognosis Colonic Neoplasms Gene Expression Regulation, Neoplastic Biomarkers, Tumor Immunohistochemistry Bone Neoplasms
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Application of Proteomics and Machine Learning Methods to Study the Pathogenesis of Diabetic Nephropathy and Screen Urinary Biomarkers.

Journal of proteome research Jul 1, 2024
Diabetic nephropathy (DN) has become the main cause of end-stage renal disease worldwide, causing significant health problems. Early diagnosis of the disease is quite inadequate. To screen urine biomarkers of DN and explore its potential mechanism, t...
Machine Learning Biomarkers Female Humans Case-Control Studies Diabetes Mellitus, Type 2 Diabetic Nephropathies Proteomics Aged Male Middle Aged Serpins Kininogens Albuminuria Creatinine Kallikreins
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PEDF, a pleiotropic WTC-LI biomarker: Machine learning biomarker identification and validation.

PLoS computational biology Jul 21, 2021
Biomarkers predict World Trade Center-Lung Injury (WTC-LI); however, there remains unaddressed multicollinearity in our serum cytokines, chemokines, and high-throughput platform datasets used to phenotype WTC-disease. To address this concern, we used...
Nerve Growth Factors September 11 Terrorist Attacks Models, Statistical Eye Proteins Inhalation Exposure Serpins Firefighters Lung Injury Occupational Diseases Reproducibility of Results Male Machine Learning Adult Middle Aged Biomarkers Sensitivity and Specificity Longitudinal Studies Humans
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Construction and analysis of a joint diagnosis model of random forest and artificial neural network for heart failure.

Aging Dec 26, 2020
Heart failure is a global health problem that affects approximately 26 million people worldwide. As conventional diagnostic techniques for heart failure have been in practice with various limitations, it is necessary to develop novel diagnostic model...
Humans Neural Networks, Computer Serpins Databases, Genetic Receptors, Interleukin RNA Splicing Factors Machine Learning Heart Failure Heme Oxygenase (Decyclizing) Transcriptome Lipocalins RNA-Binding Proteins
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Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms.

Biochimica et biophysica acta. Molecular basis of disease Apr 28, 2020
Lung cancer is one of the most common cancer types worldwide and causes more than one million deaths annually. Lung adenocarcinoma (AC) and lung squamous cell cancer (SCC) are two major lung cancer subtypes and have different characteristics in sever...
Humans Machine Learning Membrane Transport Proteins Lung Neoplasms Monte Carlo Method Carcinoma, Squamous Cell Gene Expression Regulation, Neoplastic Computational Biology Gene Expression Profiling Serpins Tumor Suppressor Proteins Transcription Factors Adenocarcinoma of Lung Diagnosis, Differential Transcriptome Adenosine Triphosphatases Cystatin A Cadherins Terminology as Topic Datasets as Topic
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