Investigating the differentiation and functional maturation of stem cell-derived β cells

Diabetes mellitus is a chronic and global disease rapidly growing in prevalence. Diabetes can be characterized by the dysfunction or death of the glucose sensing insulin secreting cell. cells are located within the islet of Langerhans (islet), a tissue within the pancreas. Human islets are critical for the study and treatment of diabetes. However, they can only be obtained from cadaveric organ donors. These cadaveric islets do not proliferate and can only be maintained in vitro for short periods of time, making their availability rare and fleeting. Stem cell-derived -like cells can be generated in indefinite amounts and are a potential alternative to cadaveric islet cells. Throughout this document stem cell-derived -like cells will be interchangeably referred as SC- cells or SC-islet. A major challenge towards applying SC- cells to disease modeling or cell replacement therapies is their lack of functional maturity and supporting technology. In this thesis, I am to investigate and improve the functional maturity of SC- cells and their supporting technologies. Chapter 1 serves as an introduction to the field of SC- cells. In Chapter 2, by temporally manipulating TGF signaling, I develop a novel differentiation protocol for generation of SC- cells with enhance function. These enhanced SC- cells are generated more efficiently and achieve dynamic insulin secretion with first and second phase insulin secretion kinetics, a critical hallmark of cadaveric islet function. When transplanted into immune compromised diabetic mice, their function is detected within two weeks and cure their diabetes. In Chapter 3, I elucidate the role of transcription factor SIX2 in SC- cells differentiations. Using gene knockdown and knockout techniques, I show SIX2’s necessity for the functional maturation of SC- cells. Importantly, I identify SIX2 positive and negative cell populations and postulate its use as a marker to guide future cell maturation efforts. In Chapter 4, I present a method for cryopreserving SC-islets and characterize them relative to their un-cryopreserved counterparts. Cryopreserved SC-islets functionally and transcriptionally resemble un-cryopreserved SC-islets. This advancement will facilitate biobanking of stem cells, a necessary step to increase their accessibility to the research and therapeutic research population. In Appendix A, I describe the application of a luciferase insulin secretion reporter in SC- cells. Luciferase co-secretes in correlation with insulin and a proof-of-concept compound screen is performed identifying several cell secretagogues. These secretagogues were then assessed with cadaveric islets verifying the potential of SC- cells as biologically relevant screening models. In Appendix B, I describe a method for co-culturing SC- cells with endothelial cells using a hydrogel system. The work in this thesis advances SC- cell technologies and facilitates their use as disease models and cell-therapeutics

Advances toward engineering functionally mature human pluripotent stem cell-derived β cells

Human stem cell-derived β (SC-β) cells have the potential to revolutionize diabetes treatment through disease modeling, drug screening, and cellular therapy. SC-β cells are likely to represent an early clinical translation of differentiated human pluripotent stem cells (hPSC). In 2014, two groups generated the firs

Single-cell transcriptome profiling reveals β cell maturation in stem cell-derived islets after transplantation

Human pluripotent stem cells differentiated to insulin-secreting β cells (SC-β cells) in islet organoids could provide an unlimited cell source for diabetes cell replacement therapy. However, current SC-β cells generated in vitro are transcriptionally and functionally immature compared to native adult β cells. Here, we use single-cell transcriptomic profiling to catalog changes that occur in transplanted SC-β cells. We find that transplanted SC-β cells exhibit drastic transcriptional changes and mature to more closely resemble adult β cells. Insulin and IAPP protein secretions increase upon transplantation, along with expression of maturation genes lacking with differentiation in vitro, including INS, MAFA, CHGB, and G6PC2. Other differentiated cell types, such as SC-α and SC-enterochromaffin (SC-EC) cells, also exhibit large transcriptional changes. This study provides a comprehensive resource for understanding human islet cell maturation and provides important insights into maturation of SC-β cells and other SC-islet cell types to enable future differentiation strategy improvements

SIX2 regulates human β cell differentiation from stem cells and functional maturation in vitro

Generation of insulin-secreting β cells in vitro is a promising approach for diabetes cell therapy. Human embryonic stem cells (hESCs) and human induced pluripotent stem cells (hiPSCs) are differentiated to β cells (SC-β cells) and mature to undergo glucose-stimulated insulin secretion, but molecular regulation of this defining β cell phenotype is unknown. Here, we show that maturation of SC-β cells is regulated by the transcription factor SIX2. Knockdown (KD) or knockout (KO) of SIX2 in SC-β cells drastically limits glucose-stimulated insulin secretion in both static and dynamic assays, along with the upstream processes of cytoplasmic calcium flux and mitochondrial respiration. Furthermore, SIX2 regulates the expression of genes associated with these key β cell processes, and its expression is restricted to endocrine cells. Our results demonstrate that expression of SIX2 influences the generation of human SC-β cells in vitro

Single-nucleus multi-omics of human stem cell-derived islets identifies deficiencies in lineage specification

Insulin-producing β cells created from human pluripotent stem cells have potential as a therapy for insulin-dependent diabetes, but human pluripotent stem cell-derived islets (SC-islets) still differ from their in vivo counterparts. To better understand the state of cell types within SC-islets and identify lineage specification deficiencies, we used single-nucleus multi-omic sequencing to analyse chromatin accessibility and transcriptional profiles of SC-islets and primary human islets. Here we provide an analysis that enabled the derivation of gene lists and activity for identifying each SC-islet cell type compared with primary islets. Within SC-islets, we found that the difference between β cells and awry enterochromaffin-like cells is a gradient of cell states rather than a stark difference in identity. Furthermore, transplantation of SC-islets in vivo improved cellular identities overtime, while long-term in vitro culture did not. Collectively, our results highlight the importance of chromatin and transcriptional landscapes during islet cell specification and maturation

Identification of unique cell type responses in pancreatic islets to stress

Diabetes involves the death or dysfunction of pancreatic β-cells. Analysis of bulk sequencing from human samples and studies using in vitro and in vivo models suggest that endoplasmic reticulum and inflammatory signaling play an important role in diabetes progression. To better characterize cell type-specific stress response, we perform multiplexed single-cell RNA sequencing to define the transcriptional signature of primary human islet cells exposed to endoplasmic reticulum and inflammatory stress. Through comprehensive pair-wise analysis of stress responses across pancreatic endocrine and exocrine cell types, we define changes in gene expression for each cell type under different diabetes-associated stressors. We find that β-, α-, and ductal cells have the greatest transcriptional response. We utilize stem cell-derived islets to study islet health through the candidate gene CIB1, which was upregulated under stress in primary human islets. Our findings provide insights into cell type-specific responses to diabetes-associated stress and establish a resource to identify targets for diabetes therapeutics

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Acquisition of Dynamic Function in Human Stem Cell-Derived β Cells

Summary: Recent advances in human pluripotent stem cell (hPSC) differentiation protocols have generated insulin-producing cells resembling pancreatic β cells. While these stem cell-derived β (SC-β) cells are capable of undergoing glucose-stimulated insulin secretion (GSIS), insulin secretion per cell remains low compared with islets and cells lack dynamic insulin release. Herein, we report a differentiation strategy focused on modulating transforming growth factor β (TGF-β) signaling, controlling cellular cluster size, and using an enriched serum-free media to generate SC-β cells that express β cell markers and undergo GSIS with first- and second-phase dynamic insulin secretion. Transplantation of these cells into mice greatly improves glucose tolerance. These results reveal that specific time frames for inhibiting and permitting TGF-β signaling are required during SC-β cell differentiation to achieve dynamic function. The capacity of these cells to undergo GSIS with dynamic insulin release makes them a promising cell source for diabetes cellular therapy. : In this study, Millman and colleagues report a differentiation strategy to generate β-like cells from human pluripotent stem cells with islet-like dynamic insulin release that rapidly reverses diabetes in mice. The authors elucidate that stage-specific control of TGF-β signaling during endocrine induction and maturation to be critical for robust function. Keywords: human embryonic stem cells, human induced pluripotent stem cells, diabetes, differentiation, glucose-stimulated insulin secretion, transplantation, cell therapy, β cells, pancreas, islet