Islet transplantation is a recommended treatment for type 1 diabetes but is limited by donor organ shortage. This study introduces an innovative approach for improving the differentiation and functionality of insulin-producing cells (IPCs) from iPSCs using 3D spheroid formation and hydrogel matrix as an alternative pancreatic islet source. The extracellular matrix (ECM) is crucial for pancreatic islet functionality, but finding the ideal matrix for β-cell differentiation has been challenging. We aimed to advance IPC differentiation and maturation through an esterified collagen hydrogel, comparing its effectiveness with conventional basement membrane extract (BME) hydrogels. iPSCs were differentiated into IPCs using a small molecule-based sequential protocol, followed by spheroid formation in concave microwells. Rheological analysis, scanning electron microscopy, and proteomic profiling were used to characterize the chemical and physical properties of each matrix. IPCs, both in single-cell form and as spheroids, were embedded in either ionized collagen or BME hydrogels, which was followed by assessments of morphological changes, pancreatic islet-related gene expression, insulin secretion, and pathway activation using comprehensive analytical techniques. Esterified collagen hydrogels markedly improved the structural integrity, insulin expression, and cell-cell interactions in IPC spheroids, forming densely packed insulin-expressing clusters, in contrast to the dispersed cells observed in BME cultures. Collagen hydrogel significantly enhanced the mRNA expression of crucial endocrine markers and maturation factors, with IPC spheroids showing accelerated differentiation from day 5, suggesting a faster differentiation compared to single cells in hydrogel encapsulation. Insulin secretion in response to glucose in collagen environments, with a GSIS index of 2.46 ± 0.05, exceeded those in 2D and BME, demonstrating superior pancreatic islet functionality. Pathway analysis highlighted enhanced insulin secretion capabilities, evidenced by the upregulation of genes like Secretogranin III and Chromogranin A in collagen cultures. In vivo transplantation results showed that collagen hydrogel enhanced cluster integrity, tissue integration, and insulin secretion compared to non-embedded IPCs and BME groups. Esterified collagen hydrogels demonstrated superior efficacy over 2D and BME in promoting IPC differentiation and maturation, possibly through upregulation of the expression of key secretion pathway genes. Our findings suggest that using collagen hydrogels presents a promising approach to enhance insulin secretion efficiency in differentiating pancreatic β-cells, advancing cell therapy in diabetes cell therapy.

Research on islet replacement through the differentiation of functionally matured insulin-producing β-like cells for the treatment of diabetes presents a significant challenge. Neural signals in β cell differentiation significantly impact the pancreatic microenvironment in glucose metabolism, but they are not fully understood. In this study, isoproterenol, a β adrenoreceptor agonist, was introduced into pancreatic progenitor cells, derived from human pluripotent stem cells in vitro, undergoing endocrine differentiation, using 2-dimensional (2D) and 3-dimensional (3D) differentiation protocols. This resulted in increased insulin and C-peptide secretion, along with elevated expression of key pancreatic beta cell transcription factors, including PDX-1, NKX6.1, and MAFA, and improved function, demonstrated by increased responsiveness to glucose determined via a glucose-stimulated insulin secretion test. Moreover, RNA transcriptome analysis of isoproterenol-treated endocrine progenitors facilitated the identification of biological pathways and genes that contribute to mature beta cell differentiation efficiency correlated with neural signals, such as adrenoceptor beta 1, calcium/calmodulin dependent protein kinase II alpha, phospholipase C delta 4, and neurotrophic receptor tyrosine kinase 1. Among those genes, calcium/calmodulin dependent protein kinase II alpha was suggested as the most notable gene involved in the isoproterenol mechanism through inhibitor assays. This study illustrates that isoproterenol significantly enhances endocrine differentiation and underscores its effects on stem cell-derived beta cell maturation, emphasizing its therapeutic potential for the treatment of diabetes.

Early recurrence in pancreatic ductal adenocarcinoma (PDAC) is a decisive factor in determining a patient's prognosis. We determined in our current study whether circulating tumour cells (CTCs) exist in the blood of PDAC patients and can be used as a predictor of recurrence patterns (i.e. time and site) after surgical resection. Between December 2017 and November 2018, the mononuclear cell layer was obtained from the peripheral blood of 36 patients diagnosed with PDAC. CTCs were then isolated using the CD-PRIME™ platform and detected via immunostaining. The patient records were analyzed to correlate these data with survival and recurrence patterns. Twelve patients were CTC-positive (33.3%) and showed a significantly frequent rate of systemic recurrence (distant metastases and peritoneal dissemination) (p = 0.025). On multi-variable logistic regression analysis, CTC positivity was an independent risk factor for early recurrence (p = 0.027) and for systemic recurrence (p = 0.033). In summary, the presence or absence of CTC in the blood of the patients with PDAC could help predict the recurrence pattern after surgery. PDAC patients with CTC positivity at tumour diagnosis should therefore undergo a comprehensive strategy for systemic therapy and active monitoring to detect possible early recurrence.

This study was conducted to identify the composition and diversity of the microbiome in tissues of pancreatic cancer and to determine its role. First, extracellular vesicles (EVs) were obtained from the paired tumor and normal tissues, and 16s rRNA gene sequencing was performed. We identified the microbiomes, compared the diversity between groups, and found that Tepidimonas was more abundant in tumors. Second, larger tumors resulted in lower levels of Leuconostoc and Sutterella, and increased lymph node metastasis resulted in higher levels of Comamonas and Turicibacter in tumor tissues. Moreover, in the case of tumor recurrence, the levels of Streptococcus and Akkermansia were decreased in tumor tissues. Finally, with the supernatant of Tepidimonasfonticaldi, proliferation and migration of cells increased, and epithelial-mesenchymal transition and the Tricarboxylic Acid (TCA) cycle-related metabolites were enhanced. The composition and diversity of EV-derived microbiomes are important for providing novel insights into theragnostic approaches in pancreatic cancer.

Nucleic acid sequencing is frequently used to determine the molecular basis of diseases. Therefore, proper storage of biological specimens is essential to inhibit nucleic acid degradation. RNA isolated from the human pancreas is generally of poor quality because of its high concentration of endogenous RNase. In this study, we optimized the method for extracting high quality RNA from paired tumor and normal pancreatic tissues obtained from eight pancreatic cancer patients post-surgery. RNA integrity number (RIN) was checked to evaluate the integrity of RNA, we tried to extract the RNA with an RIN value of 8 or higher that allows for the latest genetic analysis. The effect of several parameters, including the method used for tissue lysis, RNAlater treatment, tissue weight at storage, and the time to storage after surgical resection, on the quantity and quality of RNA extracted was examined. Data showed that the highest quantity of RNA was isolated using a combination of manual and mechanical methods of tissue lysis. Additionally, sectioning the tissues into small pieces (<100 mg) and treating them with RNAlater solution prior to storage increased RNA stability. Following these guidelines, high quality RNA was obtained from 100% (8/8) of tumor tissues and 75% (6/8) of normal tissues. High-quality RNA was still stable under repeated freezing and thawing. The application of these results during sample handling and storage in clinical settings will facilitate the genetic diagnosis of diseases and their subsequent treatment.