Recent highlights of research on miRNAs as early potential biomarkers for cardiovascular complications of type 2 diabetes mellitus
A Bielska, M Niemira, A Kretowski - International Journal of Molecular …, 2021 - mdpi.com
Type 2 diabetes mellitus (T2DM) and its complications pose a serious threat to the life and
health of patients around the world. The most dangerous complications of this disease are …
health of patients around the world. The most dangerous complications of this disease are …
The role of androgen receptor and microRNA interactions in androgen-dependent diseases
A Bielska, A Skwarska, A Kretowski… - International journal of …, 2022 - mdpi.com
The androgen receptor (AR) is a member of the steroid hormone receptor family of nuclear
transcription factors. It is present in the primary/secondary sexual organs, kidneys, skeletal …
transcription factors. It is present in the primary/secondary sexual organs, kidneys, skeletal …
Type 2 Diabetes Mellitus and its comorbidity, Alzheimer's disease: Identifying critical microRNA using machine learning
MicroRNAs (miRNAs) are critical regulators of gene expression in healthy and diseased
states, and numerous studies have established their tremendous potential as a tool for …
states, and numerous studies have established their tremendous potential as a tool for …
A Survey on Evolutionary Computation for Identifying Biomarkers of Complex Disease
Biological markers (ie, biomarkers) is the key to predicting disease states and revealing the
molecular mechanisms in precision medicine of complex disease (eg, cancer). With the …
molecular mechanisms in precision medicine of complex disease (eg, cancer). With the …
[HTML][HTML] MicroRNA signature for interpretable breast cancer classification with subtype clue
MicroRNAs (miRNAs) are short non-coding RNAs engaged in cellular regulation by
suppressing genes at their post-transcriptional stage. Evidence of their involvement in breast …
suppressing genes at their post-transcriptional stage. Evidence of their involvement in breast …
Circulating serum miR-362-3p and miR-6721-5p as potential biomarkers for classification patients with adult-type diffuse glioma
M Niemira, A Bielska, K Chwialkowska… - Frontiers in Molecular …, 2024 - frontiersin.org
According to the fifth edition of the WHO Classification of Tumours of the Central Nervous
System (CNS) published in 2021, grade 4 gliomas classification includes IDH-mutant …
System (CNS) published in 2021, grade 4 gliomas classification includes IDH-mutant …
The Expression Patterns of BECN1, LAMP2, and PINK1 Genes in Colorectal Cancer Are Potentially Regulated by Micrornas and CpG Islands: An In Silico Study
M Bednarczyk, E Fatyga… - Journal of Clinical …, 2020 - mdpi.com
Background: Autophagy plays a dual role of tumor suppression and tumor promotion in
colorectal cancer. The study aimed to find those microRNAs (miRNAs) important in BECN1 …
colorectal cancer. The study aimed to find those microRNAs (miRNAs) important in BECN1 …
Expression of microRNA-27b in type 2 diabetic patients and relation to microvascular complications
YM Ghanem, EY Moursy, ET Elsayed… - Alexandria Journal of …, 2024 - Taylor & Francis
In this study, we aimed to explore whether circulating microRNA-27b (miR-27b) is affected in
diabetic patient with microvascular complications Methods This study was conducted on 90 …
diabetic patient with microvascular complications Methods This study was conducted on 90 …
Leveraging proteomics in orphan disease research: Pitfalls and potential
Introduction: The term 'orphan diseases' includes conditions meeting prevalence-based or
commercial viability criteria: they affect a small number of individuals and are considered an …
commercial viability criteria: they affect a small number of individuals and are considered an …
Development of diagnostic and prognostic molecular biomarkers in hepatocellular carcinoma using machine learning: A systematic review
Hepatocellular carcinoma (HCC) is a leading cause of cancer‐related mortality and
morbidity worldwide. Machine learning (ML) tools have been developed in recent years to …
morbidity worldwide. Machine learning (ML) tools have been developed in recent years to …