Bioengineering, Biotechnology, & Imaging as applied to Diabetes, Metabolic, & Endocrine Diseases
Cutting-edge technologies that elucidate the mechanisms underlying endocrine and metabolic diseases, including diabetes.
The biomedical engineering, biotechnology, imaging, data science, and systems biology programs support research on the development and application of technologies and integrated approaches for the diagnosis, monitoring, and treatment of diabetes and other endocrine and metabolic diseases. Studies within these programs are aimed at:
- Analyzing and interpreting protein structures that are relevant to metabolic and endocrine diseases
- Studying networks of molecules and cells including metabolites (metabolome), proteins (proteome), and neural systems (connectome) that are relevant to metabolic and endocrine diseases
- Developing laboratory and computational tools and models and engineering platforms and solutions to address the many roles of metabolites, proteins, and neural systems in the physiology and pathophysiology of metabolic and endocrine diseases
- Addressing the development and implementation of glucose sensors as well as their combination with insulin delivery systems to form a ‘closed-loop’ artificial pancreas
- Developing and applying in vivo molecular and functional imaging techniques to visualize and monitor physiological or metabolic processes and tissues (e.g., pancreatic beta cell mass, human brown adipose tissue, neural systems)
- Developing bioengineering solutions to prevent and treat diabetic foot ulcers, such as new biomaterials to facilitate healing, sensors to predict at-risk feet and novel devices to improve off-loading.
NIDDK Program Staff
- Guillermo A. Arreaza-Rubín, M.D. Diabetes and endocrine disease bioengineering and glucose sensing
- Arthur L. Castle, Ph.D. Functional metabolomics and technology development to measure metabolic disease; fellowships and institutional training grants
- Albert J. Hwa, Ph.D. Basic mechanisms underlying the organogenesis and regeneration of pancreatic islets during health and disease; generation of islet cells from stem cells for disease modeling and regenerative medicine
- Teresa Jones, M.D. Diabetic Foot Consortium, diabetic wound healing, diabetic neuropathy, basic and clinical research of diabetes complications involving multiple organ systems
- Maren Laughlin, Ph.D. Integrative metabolism and physiology, and in vivo molecular and functional imaging, as relevant to energy balance in metabolic disease
- Yan Li, Ph.D. Key regulators of intermediary metabolism; drug discovery; pharmacogenetics and precision medicine.
- Salvatore Sechi, Ph.D. Proteomics, Systems Biology, and Structural Biology as applied to diabetes, metabolic, and endocrine diseases
- Xujing Wang, Ph.D. Data science; computation modeling; integrative genomics; network biology; genotype-phenotype relationship
- Theresa Teslovich Woo, Ph.D. Human behavior, developmental cognitive neuroscience, and brain-based mechanisms involved in obesity and diabetes
Recent Funding OpportunitiesView More Recent Funding Opportunities
Toward ElucidAting MechanismS of HIV Pathogenesis within the Mission of the NIDDK (Pathogenesis TEAMS) (R01 Clinical Trial Optional)
Notice of Special Interest (NOSI): Implementation Science to Advance Maternal Health and Maternal Health Equity for the IMPROVE initiative
Limited Competition: Small Grant Program for NIDDK K01/K08/K23/K25 Recipients (R03 Clinical Trial Optional)
Clinical, Behavioral, and Physiological Studies of Open- and Closed-loop Platforms: Toward Personalized, Fully Automated, Accessible Systems (R01 Clinical Trial Required)
Catalyst Award for Early-Stage Investigators (ESIs) Pursuing Research on HIV Comorbidities, Coinfections, and Complications (DP1- Clinical Trial Optional)
View related clinical trials from ClinicalTrials.gov.
Study sections conduct initial peer review of applications in a designated scientific area. Visit the NIH’s Center for Scientific Review website to search for study sections.
NIDDK makes publicly supported resources, data sets, and studies available to researchers to accelerate the rate and lower the cost of new discoveries.
- Ancillary Studies to Major Ongoing Clinical Studies to extend our knowledge of the diseases being studied by the parent study investigators under a defined protocol or to study diseases and conditions not within the original scope of the parent study but within the mission of the NIDDK.
- NIDDK Central Repository for access to clinical resources including data and biospecimens from NIDDK-funded studies.
- NIDDK Information Network (dkNET) for simultaneous search of digital resources, including multiple datasets and biomedical resources relevant to the mission of the NIDDK.
Additional Research Programs
NIDDK supports the training and career development of medical and graduate students, postdoctoral fellows, and physician scientists through institutional and individual grants.Learn about NIDDK Research Training Programs
The NIDDK offers and participates in a variety of opportunities for trainees and researchers from communities underrepresented in the biomedical research enterprise. These opportunities include travel and scholarship awards, research supplements, small clinical grants, high school and undergraduate programs, and a network of minority health research investigators.Learn about NIDDK Diversity Programs
NIDDK participates in the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs. These programs support innovative research conducted by small businesses that has the potential for commercialization.Learn about NIDDK Small Business Programs
Human Subjects Research
NIDDK provides funding for pivotal clinical research, from preliminary clinical feasibility to large multi-center studies.Learn about Human Subjects Research
NIDDK provides funding opportunities and resources to encourage translation of basic discoveries into novel therapeutics.Learn about NIDDK Translational Research Opportunities
Meetings & Workshops
Supports researchers with tools to enhance scientific rigor, reproducibility, and transparency, and provides a big data knowledge base for genomic and pathway hypothesis generation.