scholarly journals Pseudotime Ordering Single-Cell Transcriptomic of β Cells Pancreatic Islets in Health and Type 2 Diabetes

Phenomics ◽  
2021 ◽  
Author(s):  
Kaixuan Bao ◽  
Zhicheng Cui ◽  
Hui Wang ◽  
Hui Xiao ◽  
Ting Li ◽  
...  
2004 ◽  
Vol 286 (6) ◽  
pp. E1023-E1031 ◽  
Author(s):  
Isabelle Leclerc ◽  
Wolfram W. Woltersdorf ◽  
Gabriela da Silva Xavier ◽  
Rebecca L. Rowe ◽  
Sarah E. Cross ◽  
...  

Metformin, a drug widely used in the treatment of type 2 diabetes, has recently been shown to act on skeletal muscle and liver in part through the activation of AMP-activated protein kinase (AMPK). Whether metformin or the satiety factor leptin, which also stimulates AMPK in muscle, regulates this enzyme in pancreatic islets is unknown. We have recently shown that forced increases in AMPK activity inhibit insulin secretion from MIN6 cells (da Silva Xavier G, Leclerc I, Varadi A, Tsuboi T, Moule SK, and Rutter GA. Biochem J 371: 761–774, 2003). Here, we explore whether 1) glucose, metformin, or leptin regulates AMPK activity in isolated islets from rodent and human and 2) whether changes in AMPK activity modulate insulin secretion from human islets. Increases in glucose concentration from 0 to 3 and from 3 to 17 mM inhibited AMPK activity in primary islets from mouse, rat, and human, confirming previous findings in insulinoma cells. Incubation with metformin (0.2–1 mM) activated AMPK in both human islets and MIN6 β-cells in parallel with an inhibition of insulin secretion, whereas leptin (10–100 nM) was without effect in MIN6 cells. These studies demonstrate that AMPK activity is subject to regulation by both glucose and metformin in pancreatic islets and clonal β-cells. The inhibitory effects of metformin on insulin secretion may therefore need to be considered with respect to the use of this drug for the treatment of type 2 diabetes.


2016 ◽  
Vol 24 (4) ◽  
pp. 593-607 ◽  
Author(s):  
Åsa Segerstolpe ◽  
Athanasia Palasantza ◽  
Pernilla Eliasson ◽  
Eva-Marie Andersson ◽  
Anne-Christine Andréasson ◽  
...  

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Emanuele Bosi ◽  
Lorella Marselli ◽  
Carmela De Luca ◽  
Mara Suleiman ◽  
Marta Tesi ◽  
...  

2020 ◽  
Vol 8 (F) ◽  
pp. 283-286
Author(s):  
Sahar H. El Hini ◽  
Amira Taha Zaki Ahmed ◽  
Eglal MS. Hamed ◽  
Yehia Z. Mahmoud ◽  
Amel Mahmoud Kamal Eldin ◽  
...  

Single nucleotide polymorphism (SNP) studies in the promoter region of tumor necrosis factor-alpha (TNF-α (238)) have suggested its role in increased insulin resistance and also in the progression from prediabetes to type 2 diabetes (T2DM). It has been reported that genetic variations in the promoter region regulate TNF-α production and transcription, and they influence susceptibility to inflammatory-related diseases. Impairment of normal functioning of the β-cells of pancreatic islets is one of the main causative factors for the suppression of insulin secretion. TNF-α is among the main stimuli that induce the inflammation in pancreatic islets which lead to the induction of apoptosis in β-cells of pancreatic islets. Transcription factor 7-like 2 (TCF7L2) gene has been found to be one of the most risky genes for prediabetes and progression toT2DM. However, the underlying mechanism of this is still unknown. This is a review article demonstrating the possible mechanisms of both TNF-α G/A 238 and TCF7L2 C/T gene polymorphisms in prediabetes and type 2 diabetes mellitus.


2011 ◽  
Vol 91 (3) ◽  
pp. 795-826 ◽  
Author(s):  
Per Westermark ◽  
Arne Andersson ◽  
Gunilla T. Westermark

Islet amyloid polypeptide (IAPP, or amylin) is one of the major secretory products of β-cells of the pancreatic islets of Langerhans. It is a regulatory peptide with putative function both locally in the islets, where it inhibits insulin and glucagon secretion, and at distant targets. It has binding sites in the brain, possibly contributing also to satiety regulation and inhibits gastric emptying. Effects on several other organs have also been described. IAPP was discovered through its ability to aggregate into pancreatic islet amyloid deposits, which are seen particularly in association with type 2 diabetes in humans and with diabetes in a few other mammalian species, especially monkeys and cats. Aggregated IAPP has cytotoxic properties and is believed to be of critical importance for the loss of β-cells in type 2 diabetes and also in pancreatic islets transplanted into individuals with type 1 diabetes. This review deals both with physiological aspects of IAPP and with the pathophysiological role of aggregated forms of IAPP, including mechanisms whereby human IAPP forms toxic aggregates and amyloid fibrils.


2019 ◽  
Author(s):  
Vivek Rai ◽  
Daniel X. Quang ◽  
Michael R. Erdos ◽  
Darren A. Cusanovich ◽  
Riza M. Daza ◽  
...  

ABSTRACTObjectiveType 2 diabetes (T2D) is a complex disease characterized by pancreatic islet dysfunction, insulin resistance, and disruption of blood glucose levels. Genome wide association studies (GWAS) have identified >400 independent signals that encode genetic predisposition. More than 90% of the associated single nucleotide polymorphisms (SNPs) localize to non-coding regions and are enriched in chromatin-defined islet enhancer elements, indicating a strong transcriptional regulatory component to disease susceptibility. Pancreatic islets are a mixture of cell types that express distinct hormonal programs, and so each cell type may contribute differentially to the underlying regulatory processes that modulate T2D-associated transcriptional circuits. Existing chromatin profiling methods such as ATAC-seq and DNase-seq, applied to islets in bulk, produce aggregate profiles that mask important cellular and regulatory heterogeneity.MethodsWe present genome-wide single cell chromatin accessibility profiles in >1,600 cells derived from a human pancreatic islet sample using single-cell-combinatorial-indexing ATAC-seq (sci-ATAC-seq). We also developed a deep learning model based on the U-Net architecture to accurately predict open chromatin peak calls in rare cell populations.ResultsWe show that sci-ATAC-seq profiles allow us to deconvolve alpha, beta, and delta cell populations and identify cell-type-specific regulatory signatures underlying T2D. Particularly, we find that T2D GWAS SNPs are significantly enriched in beta cell-specific and cross cell-type shared islet open chromatin, but not in alpha or delta cell-specific open chromatin. We also demonstrate, using less abundant delta cells, that deep-learning models can improve signal recovery and feature reconstruction of rarer cell populations. Finally, we use co-accessibility measures to nominate the cell-specific target genes at 104 non-coding T2D GWAS signals.ConclusionsCollectively, we identify the islet cell type of action across genetic signals of T2D predisposition and provide higher-resolution mechanistic insights into genetically encoded risk pathways.


2020 ◽  
Vol 32 ◽  
pp. 109-121 ◽  
Author(s):  
Vivek Rai ◽  
Daniel X. Quang ◽  
Michael R. Erdos ◽  
Darren A. Cusanovich ◽  
Riza M. Daza ◽  
...  

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Emanuele Bosi ◽  
Lorella Marselli ◽  
Carmela De Luca ◽  
Mara Suleiman ◽  
Marta Tesi ◽  
...  

Abstract Pancreatic islet β-cell failure is key to the onset and progression of type 2 diabetes (T2D). The advent of single-cell RNA sequencing (scRNA-seq) has opened the possibility to determine transcriptional signatures specifically relevant for T2D at the β-cell level. Yet, applications of this technique have been underwhelming, as three independent studies failed to show shared differentially expressed genes in T2D β-cells. We performed an integrative analysis of the available datasets from these studies to overcome confounding sources of variability and better highlight common T2D β-cell transcriptomic signatures. After removing low-quality transcriptomes, we retained 3046 single cells expressing 27 931 genes. Cells were integrated to attenuate dataset-specific biases, and clustered into cell type groups. In T2D β-cells (n = 801), we found 210 upregulated and 16 downregulated genes, identifying key pathways for T2D pathogenesis, including defective insulin secretion, SREBP signaling and oxidative stress. We also compared these results with previous data of human T2D β-cells from laser capture microdissection and diabetic rat islets, revealing shared β-cell genes. Overall, the present study encourages the pursuit of single β-cell RNA-seq analysis, preventing presently identified sources of variability, to identify transcriptomic changes associated with human T2D and underscores specific traits of dysfunctional β-cells across different models and techniques.


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