Coordination between ECM and cell-cell adhesion regulates the development of islet aggregation, architecture, and functional maturation.

Pancreatic islets are three-dimensional cell aggregates consisting of unique cellular composition, cell-to-cell contacts, and interactions with blood vessels. Cell aggregation is essential for islet endocrine function; however, it remains unclear how developing islets establish aggregation. By combining genetic animal models, imaging tools, and gene expression profiling, we demonstrate that islet aggregation is regulated by extracellular matrix signaling and cell-cell adhesion. Islet endocrine cell-specific inactivation of extracellular matrix receptor integrin ß1 disrupted blood vessel interactions but promoted cell-cell adhesion and the formation of larger islets. In contrast, ablation of cell-cell adhesion molecule α-catenin promoted blood vessel interactions yet compromised islet clustering. Simultaneous removal of integrin ß1 and α-catenin disrupts islet aggregation and the endocrine cell maturation process, demonstrating that establishment of islet aggregates is essential for functional maturation. Our study provides new insights into understanding the fundamental self-organizing mechanism for islet aggregation, architecture, and functional maturation.

Incidence and clinical characteristics of pediatric-onset type 2 diabetes in Hong Kong: The Hong Kong childhood diabetes registry 2008 to 2017.

OBJECTIVE: With increasing prevalence of childhood obesity worldwide, the incidence of pediatric-onset type 2 diabetes (T2D) is also increasing in many countries. We aim to analyze the time trend and incidence of T2D in children in Hong Kong from 2008 to 2017, and to characterize clinical characteristics at diagnosis. METHODS: Data were retrieved from the Hong Kong Childhood Diabetes Registry. All children with T2D diagnosed at the age of less than 18 years from January 1, 2008 to December 31, 2017 and managed in the public health care system were included in this study. RESULTS: In the incident years of 2008-2017 period, 391 children were diagnosed with T2D. The crude incidence rate was 3.42 per 100,000 persons/year [95% confidence interval (CI) 3.08-3.76], which was much higher than that in last registry of 1.27 per 100,000 persons/year in 1997-2007 (P < 0.001).Most children (76%) were asymptomatic and were diagnosed by routine screening. At presentation, a significant proportion presented with co-morbidities including fatty liver (37.9%), dyslipidaemia (35.3%), hypertension (22.5%), and microalbuminuria (12.8%). CONCLUSIONS: The incidence of T2D in children has increased significantly in Hong Kong. Most of them were asymptomatic and picked up on routine health screening. Yet, comorbidities were commonly identified at diagnosis.

Envisioning the future of clinical analytics: a modified Delphi process in New South Wales, Australia.

BACKGROUND: Clinical analytics is a rapidly developing area of informatics and knowledge mobilisation which has huge potential to improve healthcare in the future. It is widely acknowledged to be a powerful mediator of clinical decision making, patient-centred care and organisational learning. As a result, healthcare systems require a strategic foundation for clinical analytics that is sufficiently directional to support meaningful change while flexible enough to allow for iteration and responsiveness to context as change occurs. METHODS: In New South Wales, the most populous state in Australia, the Clinical Analytics Working Group was charged with developing a five-year vision for the public health system. A modified Delphi process was undertaken to elicit expert views and to reach a consensus. The process included a combination of face-to-face workshops, traditional Delphi voting via email, and innovative, real-time iteration between text re-formulation and voting until consensus was reached. The six stage process engaged 35 experts - practising clinicians, patients and consumers, managers, policymakers, data scientists and academics. RESULTS: The process resulted in the production of 135 ideas that were subsequently synthesised into 23 agreed statements and encapsulated in a single page (456 word) narrative. CONCLUSION: The visioning process highlighted three key perspectives (clinicians, patients and managers) and the need for synchronous (during the clinical encounter) and asynchronous (outside the clinical encounter) clinical decision support and reflective practice tools; the use of new and multiple data sources and communication formats; and the role of research and education.

Increasing incidence of type 1 diabetes among Hong Kong children and adolescents: The Hong Kong Childhood Diabetes Registry 2008 to 2017.

OBJECTIVE: The incidence of childhood-onset type 1 diabetes (T1D) has been reported to be rising but there is also evidence that it has been attenuated in recent years. We described the time trends and the incidence of T1D in children in Hong Kong from 2008 to 2017 and compared with the previous local registry in 1997 to 2007. METHODS: Data were extracted from the Hong Kong Childhood Diabetes Registry, which was established in 2016. It consists of a retrospective registry (including all childhood diabetes diagnosed in 2008 to 2015) and a prospective registry (including all T1D children diagnosed from 2016 onwards). All T1D children diagnosed at the age of less than 18 years from 1 January 2008 to 31 December 2017 and managed in the public system were included in this study. RESULTS: For the incident years in the 2008 to 2017 period, a total of 498 children with T1D was identified. The crude incidence rate was 4.3 per 100 000 person/year (95% confidence interval 3.96-4.72), which was much higher than the last registry of 2.2 per 100 000 persons/year. Using general linear model, the increment is statistically significant (P = .02). When compared to the last registry, the rate of increment had attenuated, with annual increment in crude incidence in the two periods for T1D <15 years changing from 4.3% to 3.5% (P = .02). CONCLUSIONS: The incidence of T1D children increased significantly in the past two decades in Hong Kong, but the rate of increase had attenuated in recent years.

A Novel Solvent-based Method to Separate Duct Tape from Porous Surface for Fingerprint Development.

In this study, we have proposed a novel solvent-based method using a specific concentration of 3M™ Novec™ HFE-72DE and 7200 solvents to untangle duct tape from porous article with minimal impact to the quality of latent fingerprint deposited on the sticky-side surface of duct tape. A series of experiments determined that a mixture of 30% HFE-72DE:7200 (v/v) was found to be the most effective to separate various brands of duct tape from different types of porous surface, including office copy paper, newspaper, cardboard, and tissue wipe, which had been stored for up to 30 days before untangling. Further studies also revealed that 30% HFE-72DE:7200 was compatible with three common fingerprint development methods for porous articles, namely ninhydrin, indanedione-zinc, and physical developer. The nonflammability and low toxicity nature of this novel solvent mixture also make it ideal for separating duct tape from porous surface in laboratory or at crime scene.

An eHealth Capabilities Framework for Graduates and Health Professionals: Mixed-Methods Study.

BACKGROUND: The demand for an eHealth-ready and adaptable workforce is placing increasing pressure on universities to deliver eHealth education. At present, eHealth education is largely focused on components of eHealth rather than considering a curriculum-wide approach. OBJECTIVE: This study aimed to develop a framework that could be used to guide health curriculum design based on current evidence, and stakeholder perceptions of eHealth capabilities expected of tertiary health graduates. METHODS: A 3-phase, mixed-methods approach incorporated the results of a literature review, focus groups, and a Delphi process to develop a framework of eHealth capability statements. RESULTS: Participants (N=39) with expertise or experience in eHealth education, practice, or policy provided feedback on the proposed framework, and following the fourth iteration of this process, consensus was achieved. The final framework consisted of 4 higher-level capability statements that describe the learning outcomes expected of university graduates across the domains of (1) digital health technologies, systems, and policies; (2) clinical practice; (3) data analysis and knowledge creation; and (4) technology implementation and codesign. Across the capability statements are 40 performance cues that provide examples of how these capabilities might be demonstrated. CONCLUSIONS: The results of this study inform a cross-faculty eHealth curriculum that aligns with workforce expectations. There is a need for educational curriculum to reinforce existing eHealth capabilities, adapt existing capabilities to make them transferable to novel eHealth contexts, and introduce new learning opportunities for interactions with technologies within education and practice encounters. As such, the capability framework developed may assist in the application of eHealth by emerging and existing health care professionals. Future research needs to explore the potential for integration of findings into workforce development programs.