AIMC Topic: Up-Regulation
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Root of Prunus persica (taoshugen) ameliorated renal fibrosis by inhibiting TGF-β signaling via upregulating Pmepa1 in mice with unilateral ureter obstruction.
Journal of ethnopharmacology
Apr 3, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Various parts of Prunus persica (L.) Batsch (peach) exhibit medicinal properties and are utilized in traditional Chinese medicine (TCM) for therapeutic purposes. Notably, the root of P. persica, referred to as "taoshug...
The synchronous upregulation of a specific protein cluster in the blood predicts both colorectal cancer risk and patient immune status.
Gene
Aug 10, 2024
BACKGROUND: Early detection and treatment of colorectal cancer (CRC) is crucial for improving patient survival rates. This study aims to identify signature molecules associated with CRC, which can serve as valuable indicators for clinical hematologic...
Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.
Scientific reports
Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Mycobacterium Infections, Nontuberculous
Down-Regulation
Up-Regulation
Area Under Curve
Amino Acids
Random Forest
Tuberculosis
Biomarkers
Aged
Male
Middle Aged
Metabolomics
ROC Curve
Humans
Models, Statistical
Machine Learning
Liquid Chromatography-Mass Spectrometry
Phenotype
Metabolome
Diagnosis, Differential
Weighted gene co-expression network analysis reveals specific modules and biomarkers in Parkinson's disease.
Neuroscience letters
Apr 8, 2020
BACKGROUND: Parkinson's disease (PD) ranks as the second most frequently occurring neurodegenerative disease. The precise pathogenic mechanism of this disease remains unknown. The aim of the present study was to identify the biomarkers in PD and clas...
Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.
Genomics, proteomics & bioinformatics
Dec 4, 2019
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic tests. Often, high-throughput approaches are applied to discover biomarker signatures. These have to be validated in larger cohorts and evaluated by ...
Gene Ontology and Expression Studies of Strigolactone Analogues on a Hepatocellular Carcinoma Cell Line.
Analytical cellular pathology (Amsterdam)
Aug 4, 2019
Human hepatocellular carcinoma (HCC) is the most common and recurrent type of primary adult liver cancer without any effective therapy. Plant-derived compounds acting as anticancer agents can induce apoptosis by targeting several signaling pathways. ...
B-type Natriuretic Peptide and Other Risk Factors for Predicting Postoperative Atrial Fibrillation after Thoracic Surgery.
The Thoracic and cardiovascular surgeon
Dec 31, 2017
BACKGROUND: Postoperative atrial fibrillation (POAF) is associated with increased morality rate, prolonged hospitalization, and reduced long-term survival after surgery. Thus, prediction of POAF is important to assess surgical risk and provide prophy...
Overexpression of EMMPRIN is associated with lymph node metastasis and advanced stage of non-small cell lung cancer: a retrospective study.
BMC pulmonary medicine
Dec 28, 2017
BACKGROUND: Previous studies show that overexpression of EMMPRIN involved in the malignant biological behavior of tumors. This investigation was to disclose the expression status of EMMPRIN in non-small cell lung cancer (NSCLC) and its clinical value...
Oleanolic acid protects against pathogenesis of atherosclerosis, possibly via FXR-mediated angiotensin (Ang)-(1-7) upregulation.
Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Dec 8, 2017
Atherosclerosis, the leading cause of cardiovascular diseases in the world, is a chronic inflammatory disorder characterized by the dysfunction of arteries. Oleanolic acid (OA) is a bioactive nature product which exists in various plants and herbs. P...
Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.
Comparative biochemistry and physiology. Part D, Genomics & proteomics
Nov 11, 2017
In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present ...
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