DrAndrzej Januszewski

Dr Januszewski’s research projects focus on the use of clinical trial biospecimens, biomarker data and long-term outcome datasets to better understand diabetes, cardiovascular disease and related complications. His work includes studies of type 1 and type 2 diabetes, diabetic retinopathy, kidney disease, cardiovascular outcomes, insulin resistance, residual insulin secretion, inflammation, oxidative stress, endothelial dysfunction, lipid biology and molecular markers of disease progression or treatment response.

He has contributed to biomarker and secondary analyses from major diabetes and cardiovascular trial cohorts, including FIELD, T4DM, FAME 1 Eye, DCCT/EDIC-related collaborations and other national and international studies. These projects combine laboratory measurements with clinical trial data to investigate disease mechanisms, identify predictors of complications, and examine variation in treatment effects.

His research also includes the development and application of laboratory methods for measuring biochemical, molecular and genetic markers in stored clinical trial samples. These include assays related to inflammatory, oxidative stress, endothelial, lipid, renal, retinal, proteomic, microRNA and metabolic pathways. In addition, he contributes to clinical trial biobank governance, sample selection, laboratory workflow development, data interpretation and manuscript preparation.

Alongside laboratory and clinical trial research, Dr Januszewski develops and maintains digital tools that translate clinical, statistical and geospatial methods into accessible resources for clinical and epidemiological research. These include calculators for insulin sensitivity, partial clinical remission and diabetic retinopathy, together with Australian and New Zealand socio-economic index lookup tools.

He supervises and mentors Honours, Master’s and PhD students, visiting scholars, summer scholarship students, research assistants and postdoctoral researchers. His supervision covers biomarker study design, laboratory methods, clinical trial biobank research, data analysis, scientific writing and research translation.

Online research tools and calculators

Diabetes research calculators

Estimated insulin sensitivity in type 1 diabetes
Interactive comparison of clinically applicable formulae for estimating glucose disposal rate and insulin sensitivity.
Tool: https://bit.ly/estimated-GDR
Publication: Januszewski et al., Journal of Diabetes Investigation, 2024. PMID: 38366869.  DOI: 10.1111/jdi.14161.

 

Muscle and hepatic insulin sensitivity in type 1 diabetes
Estimates muscle and hepatic insulin sensitivity from clinical and research biomarkers.
Tool: https://bit.ly/EGP-GIR-calculator
Publication: Januszewski et al., Diabetes, Obesity and Metabolism, 2026. PMID: 41623155. DOI: 10.1111/dom.70517.

 

Partial clinical remission in adult-onset type 1 diabetes
Estimates the probability of partial clinical remission using routinely available clinical factors.
Tool: https://bit.ly/T1D-partial-remission
Publication: Januszewski et al. Journal of Diabetes and its Complications, 2024. PMID 39084177. DOI: 10.1016/j.jdiacomp.2024.108828.

 

Diabetic retinopathy research tools
Tools supporting research on risk-informed screening frequency in type 1 diabetes and retinopathy risk and fenofibrate effects in type 2 diabetes.
Tools: https://bit.ly/T1D-DRscreening and https://bit.ly/T2DSTDR
Publications: Januszewski et al. Diabetes Care, 2022. PMID 35975939. DOI: 10.2337/dc22-0071 and Januszewski et al. Diabetes Research and Clinical Practice, 2023. PMID 35314259. DOI: 10.1016/j.diabres.2022.109835.

 

Socio-economic research tools

Australian SEIFA measures by address
Assigns address-level SEIFA measures across census periods and returns associated small-area geographical classifications.
Tool: http://onlinecalc.app/SEIFA-SA1
Publication: Januszewski et al., Internal Medicine Journal, 2026. DOI: 10.1111/imj.70561.

Australian SEIFA measures by postcode
Supports cross-sectional and longitudinal comparison of postcode-based SEIFA measures.
Tool: https://bit.ly/SEIFA-POA
Publication: Januszewski et al., Internal Medicine Journal, 2025. DOI: 10.1111/imj.70117.

 

New Zealand NZDep measures by address
Assigns historical and contemporary NZDep measures using address-level geospatial linkage.
Tool: https://bit.ly/nzdep
Publication: Januszewski et al., MethodsX, 2026. DOI: 10.1016/j.mex.2026.104048.

 

New Zealand NZDep measures by postcode
Supports cross-sectional and longitudinal comparison of postcode-based NZDep measures.
Tool: https://bit.ly/NZDep_postcodes

Publication: Januszewski et al., manuscript submitted New Zealand medical Journal.