Gene expression analysis reveals diabetes-related gene signatures DOI Creative Commons
Maria Inês de Jesus Duarte Farrim, Andreia Gomes, Dragan Milenković

et al.

Human Genomics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Feb. 8, 2024

Abstract Background Diabetes is a spectrum of metabolic diseases affecting millions people worldwide. The loss pancreatic β-cell mass by either autoimmune destruction or apoptosis, in type 1-diabetes (T1D) and 2-diabetes (T2D), respectively, represents pathophysiological process leading to insulin deficiency. Therefore, therapeutic strategies focusing on restoring secretory capacity may impact disease management. This study took advantage powerful integrative bioinformatic tools scrutinize publicly available diabetes-associated gene expression data unveil novel potential molecular targets associated with dysfunction. Methods A comprehensive literature search for human studies alterations the pancreas T1D T2D was performed. total 6 were selected extraction analysis. Pathway enrichment analyses differentially expressed genes (DEGs) conducted, together protein–protein interaction networks identification transcription factors (TFs). For noncoding RNAs, microRNAs (miRNAs) long RNAs (lncRNAs), which exert regulatory activities diabetes, identifying target pathways regulated these fundamental establishing robust network. Results Comparisons DEGs among showed 59 common 4 more studies. Besides mRNA, it possible identify miRNA lncRNA. Among top (TFs), HIPK2, KLF5, STAT1 STAT3 emerged as regulators altered expression. Integrated analysis protein-coding genes, miRNAs, lncRNAs pointed out several involved metabolism, cell signaling, immune system, adhesion, interactions. Interestingly, GABAergic synapse pathway only all datasets. Conclusions demonstrated power bioinformatics scrutinizing data, thereby revealing like pathway, holds promise modulating α-cells transdifferentiation into β-cells.

Language: Английский

Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis DOI Creative Commons
Sulmaz Ghahramani, Reza Tabrizi, Kamran Bagheri Lankarani

et al.

European journal of medical research, Journal Year: 2020, Volume and Issue: 25(1)

Published: Aug. 3, 2020

Abstract Background More severe cases of COVID- 19 are more likely to be hospitalized and around one-fifth, needing ICU admission. Understanding the common laboratory features COVID-19 in versus non-severe patients could quite useful for clinicians might help predict model disease progression. This systematic review meta-analysis aimed compare test findings vs. confirmed infected COVID-19. Methods Electronic databases were systematically searched PubMed, EMBASE, Scopus, Web Science, Google Scholar from beginning 2019 3rd March 2020. Heterogeneity across included studies was determined using Cochrane’s Q I 2 statistic. We used fixed or random-effect models pool weighted mean differences (WMDs) standardized 95% confidence intervals (CIs). Findings Out a total 3009 citations, 17 articles (22 studies, 21 China one study Singapore) with 3396 ranging 12 to1099 included. Our meta-analyses showed significant decrease lymphocyte, monocyte, eosinophil, hemoglobin, platelet, albumin, serum sodium, lymphocyte C-reactive protein ratio (LCR), leukocyte (LeCR), IL-6 (LeIR), an increase neutrophil, alanine aminotransferase (ALT), aspartate (AST), bilirubin, blood urea nitrogen (BUN), creatinine (Cr), erythrocyte Sedimentation Rate (ESR), (CRP), Procalcitonin (PCT), lactate dehydrogenase (LDH), fibrinogen, prothrombin time (PT), D-dimer, glucose level, neutrophil (NLR) group compared group. No changes white cells (WBC), Creatine Kinase (CK), troponin I, myoglobin, K between two groups observed. Interpretation provides evidence differentiation based on results at Future well-methodologically designed other populations strongly recommended.

Language: Английский

Citations

334

Pancreatic β cell microRNA-26a alleviates type 2 diabetes by improving peripheral insulin sensitivity and preserving β cell function DOI Creative Commons
Haixia Xu,

Xiao Du,

Jia Xu

et al.

PLoS Biology, Journal Year: 2020, Volume and Issue: 18(2), P. e3000603 - e3000603

Published: Feb. 24, 2020

Type 2 diabetes (T2D) is characterized by insulin resistance along with pancreatic β cell failure. factors are traditionally thought to control glucose homeostasis modulating levels, not sensitivity. Exosomes emerging as new regulators of intercellular communication. However, the role β-cell–derived exosomes in metabolic poorly understood. Here, we report that microRNA-26a (miR-26a) cells only modulates secretion and replication an autocrine manner but also regulates peripheral sensitivity a paracrine through circulating exosomes. MiR-26a reduced serum overweight humans inversely correlated clinical features T2D. Moreover, miR-26a down-regulated islets obese mice. Using knockin knockout mouse models, showed alleviates obesity-induced hyperinsulinemia. Mechanistically, enhances via Meanwhile, prevents hyperinsulinemia targeting several critical proliferation. These findings provide paradigm for far-reaching systemic functions offer opportunities treatment

Language: Английский

Citations

118

Noncoding RNAs in Vascular Diseases DOI Open Access
Nicolas Jaé, Stefanie Dimmeler

Circulation Research, Journal Year: 2020, Volume and Issue: 126(9), P. 1127 - 1145

Published: April 23, 2020

The advent of deep sequencing technologies led to the identification a considerable amount noncoding RNA transcripts, which are increasingly recognized for their functions in controlling cardiovascular diseases. MicroRNAs have already been studied decade, leading several vasculoprotective and detrimental species, might be considered therapeutic targeting. Other RNAs such as circular RNAs, YRNAs, or long currently gaining increasing attention, first studies provide insights into mediators antagonists vascular diseases vivo. present review article will an overview different types vasculature focus on developing field RNAs.

Language: Английский

Citations

100

LncRNAs Regulatory Networks in Cellular Senescence DOI Open Access
Pavan Kumar P

International Journal of Molecular Sciences, Journal Year: 2019, Volume and Issue: 20(11), P. 2615 - 2615

Published: May 28, 2019

Long noncoding RNAs (lncRNAs) are a class of transcripts longer than 200 nucleotides with no open reading frame. They play key role in the regulation cellular processes such as genome integrity, chromatin organization, gene expression, translation regulation, and signal transduction. Recent studies indicated that lncRNAs not only dysregulated different types diseases but also function direct effectors or mediators for many pathological symptoms. This review focuses on current findings their signaling pathways senescence. Different functional mechanisms downstream integrated to provide bird’s-eye view lncRNA networks highlights cell fate decision discusses how several feedback loops interconnected execute persistent senescence response. Finally, significance senescence-associated therapeutic diagnostic potentials highlighted.

Language: Английский

Citations

93

Insulin Resistance and Cancer: In Search for a Causal Link DOI Open Access
Eusebio Chiefari, Maria Mirabelli, Sandro La Vignera

et al.

International Journal of Molecular Sciences, Journal Year: 2021, Volume and Issue: 22(20), P. 11137 - 11137

Published: Oct. 15, 2021

Insulin resistance (IR) is a condition which refers to individuals whose cells and tissues become insensitive the peptide hormone, insulin. Over recent years, wealth of data has made it clear that synergistic relationship exists between IR, type 2 diabetes mellitus, cancer. Although underlying mechanism(s) for this association remain unclear, well established hyperinsulinemia, hallmark may play role in tumorigenesis. On other hand, IR strongly associated with visceral adiposity dysfunction systemic inflammation, two conditions favor establishment pro-tumorigenic environment. Similarly, epigenetic modifications, such as DNA methylation, histone non-coding RNA, states, have been often tumorigenesis numerous types human In addition these observations, also broadly accepted gut microbiota an intriguing development IR-related diseases, including cancer, whereas potential chemopreventive properties attributed some most commonly used antidiabetic medications. Herein we provide concise overview literature field discuss how different but interrelated molecular pathways impact on tumor development.

Language: Английский

Citations

93

Long non-coding RNA MEG3 promotes fibrosis and inflammatory response in diabetic nephropathy via miR-181a/Egr-1/TLR4 axis DOI Creative Commons

Fangfang Zha,

Xiaolu Qu,

Bo Tang

et al.

Aging, Journal Year: 2019, Volume and Issue: 11(11), P. 3716 - 3730

Published: June 13, 2019

Long non-coding RNAs (lncRNAs) play vital roles in diabetic nephropathy (DN). This research aimed to study the potential role and underlying molecular mechanisms of long RNA MEG3 DN.We found that was upregulated DN vivo vitro could enhance cell fibrosis inflammatory response DN.MEG3 functioned as an endogenous sponge for miR-181a mesangial cells (MCs) via direct targeting Ago2-dependent manner.MiR-181a inhibition promoted MC response.In addition, Egr-1 confirmed a target gene miR-181a.Further investigations verified promotes miR-181a/Egr-1/TLR4 axis vivo.These results provide new insights into regulation between signaling pathway during progression.

Language: Английский

Citations

82

circRNAs Signature as Potential Diagnostic and Prognostic Biomarker for Diabetes Mellitus and Related Cardiovascular Complications DOI Creative Commons
Mohamed Zaiou

Cells, Journal Year: 2020, Volume and Issue: 9(3), P. 659 - 659

Published: March 9, 2020

Circular RNAs (circRNAs) belong to the ever-growing class of naturally occurring noncoding (ncRNAs) molecules. Unlike linear RNA, circRNAs are covalently closed transcripts mostly generated from precursor-mRNA by a non-canonical event called back-splicing. They highly stable, evolutionarily conserved, and widely distributed in eukaryotes. Some believed fulfill variety functions inside cell mainly acting as microRNAs (miRNAs) or RNA-binding proteins (RBPs) sponges. Furthermore, mounting evidence suggests that misregulation is among first alterations various metabolic disorders including obesity, hypertension, cardiovascular diseases. More recent research has revealed also play substantial role pathogenesis diabetes mellitus (DM) related vascular complications. These findings have added new layer complexity our understanding DM underscored need reexamine molecular pathways lead this disorder context epigenetics circRNA regulatory mechanisms. Here, I review current knowledge about dysregulation describe their potential innovative biomarkers predict diabetes-related (CV) events. Finally, discuss some actual limitations promise these RNA emerging therapeutics provide recommendations for future on circRNA-based medicine.

Language: Английский

Citations

78

Advances in multi-omics study of biomarkers of glycolipid metabolism disorder DOI Creative Commons
Xinyi Fang, Runyu Miao, Jiahua Wei

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2022, Volume and Issue: 20, P. 5935 - 5951

Published: Jan. 1, 2022

Glycolipid metabolism disorder are major threats to human health and life. Genetic, environmental, psychological, cellular, molecular factors contribute their pathogenesis. Several studies demonstrated that neuroendocrine axis dysfunction, insulin resistance, oxidative stress, chronic inflammatory response, gut microbiota dysbiosis core pathological links associated with it. However, the underlying mechanisms therapeutic targets of glycolipid remain be elucidated. Progress in high-throughput technologies has helped clarify pathophysiology disorder. In present review, we explored ways means by which genomics, transcriptomics, proteomics, metabolomics, microbiomics could help identify novel candidate biomarkers for clinical management We also discuss limitations recommended future research directions multi-omics on these diseases.

Language: Английский

Citations

68

The Impact of lncRNAs in Diabetes Mellitus: A Systematic Review and In Silico Analyses DOI Creative Commons
Cristine Dieter, Natália Emerim Lemos, Nathalia Rodrigues de Faria Corrêa

et al.

Frontiers in Endocrinology, Journal Year: 2021, Volume and Issue: 12

Published: March 19, 2021

Long non-coding RNAs (lncRNAs) are transcripts that have emerged as one of the largest and diverse RNA families regulate gene expression. Accumulating evidence has suggested a number lncRNAs involved in diabetes mellitus (DM) pathogenesis. However, results about lncRNA expressions DM patients still inconclusive. Thus, we performed systematic review literature on subject followed by bioinformatics analyses to better understand which dysregulated pathways they act. Pubmed, Embase, Gene Expression Omnibus (GEO) repositories were searched identify studies investigated expression cases with non-diabetic controls. LncRNAs consistently submitted analysis retrieve their target genes potentially affected signaling under regulation. Fifty-three eligible articles included this after application inclusion exclusion criteria. Six hundred thirty-eight differentially expressed between controls at least study. Among them, six (Anril, Hotair, Malat1, Miat, Kcnq1ot1, Meg3) compared Moreover, these participate several metabolism-related pathways, evidencing importance DM. This suggests DM, constituting potential biomarkers disease.

Language: Английский

Citations

57

PDX1 is the cornerstone of pancreatic β-cell functions and identity DOI Creative Commons

Nour Ebrahim,

Ksenia Shakirova,

Э. Б. Дашинимаев

et al.

Frontiers in Molecular Biosciences, Journal Year: 2022, Volume and Issue: 9

Published: Dec. 15, 2022

Diabetes has been a worldwide healthcare problem for many years. Current methods of treating diabetes are still largely directed at symptoms, aiming to control the manifestations pathology. This creates an overall need find alternative measures that can impact on causes disease, reverse diabetes, or make it more manageable. Understanding role key players in pathogenesis and related β-cell functions is great importance combating diabetes. PDX1 master regulator pancreas organogenesis, maturation identity preservation β-cells, their normal insulin function. Mutations gene correlated with pancreatic dysfunctions, including agenesis (homozygous mutation) MODY4 (heterozygous mutation), while other types expression reduced. Therefore, approaches treat depend knowledge regulation, its interaction transcription factors, obtaining β-cells through differentiation transdifferentiation protocols. In this article, we review basic regulation by genetic epigenetic factors. Lastly, summarize different variations protocols used obtain from cell sources, using alone combination various factors modified culture conditions. shows unique position as potential target cellular treatment

Language: Английский

Citations

52