Research output per year
Research output per year
Unit profile
Description
Understanding the genetic and metabolic complexity of diabetes could help in identifying novel drug targets. A new classification of diabetes may pave the way for early intensified treatment and thereby possibly prevent late diabetic complications ascribed to the “metabolic memory”. It may also help the pharma industry to better stratify patients for drug trials and thereby reduce cost for development of new drugs. Dissect the genetic and metabolic complexity of diabetes and provide a refined diabetes classification that can pave the way for precision medicine in diabetes and development of a decision tool (road map) for the diabetic patients.UKÄ subject classification
- Endocrinology and Diabetes
- Cardiac and Cardiovascular Systems
Free keywords
- Type 2 diabetes
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Emma Ahlqvist
- Genomics, Diabetes and Endocrinology - Associate professor
- EXODIAB: Excellence of Diabetes Research in Sweden - Researcher
Person
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Jonas Andersson
- Genomics, Diabetes and Endocrinology - Doctoral student
- EXODIAB: Excellence of Diabetes Research in Sweden - Doctoral student
Person
Research output
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Aggressive pituitary tumors and pituitary carcinomas: from pathology to treatment
Burman, P., Casar-Borota, O., Perez-Rivas, L. G. & Dekkers, O. M., 2023, In: The Journal of clinical endocrinology and metabolism. 108, 7, p. 1585-1601Research output: Contribution to journal › Article › peer-review
Open Access -
All-Cause Mortality and Cardiovascular and Microvascular Diseases in Latent Autoimmune Diabetes in Adults
Wei, Y., Herzog, K., Ahlqvist, E., Andersson, T., Nystrom, T., Zhan, Y., Tuomi, T. & Carlsson, S., 2023 Oct, In: Diabetes Care. 46, 10, p. 1857-1865Research output: Contribution to journal › Article › peer-review
Open Access -
Answers of big biological data to unsolved diabetes questions - Unveiling causes of impaired β-cell insulin secretion
Karagiannopoulos, A., 2023, Lund: Lund University, Faculty of Medicine. 98 p.Research output: Thesis › Doctoral Thesis (compilation)
Open AccessFile
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Identifying biomarkers for gestational diabetes to predict diabetes subtypes: a step towards individualized care
2023/04/01 → 2024/03/31
Project: Research
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Escaper: Searching for clinical extremes to find protective mechanisms Cardiovascular and metabolic phenotyping of individuals protected from cardiovascular complications in spite of risk factor burden or clinical disease
Gottsäter, A., Nilsson, P. M., Kennbäck, C., Melander, O., Christensson, A., Engström, G., Löndahl, M., Lehti, L., Hedström, E., Arheden, H., Magnusson, M., Lyssenko, V., Ekström, O. & Jujic, A.
2022/03/01 → 2025/12/31
Project: Research
File -
Fetal programming and parent of origin effects on type 2 diabetes
2021/12/01 → 2026/11/30
Project: Research
Infrastructure
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All New Diabetics In Scania
Emma Ahlqvist (Manager)
Genomics, Diabetes and EndocrinologyInfrastructure
Activities
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Precision medicine in diabetes – is data-driven stratification the way to go?, Diabetes plus seminar series, Uppsala University
Emma Ahlqvist (Invited speaker)
2023 Jan 18Activity: Talk or presentation › Invited talk
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Subclassification of type 2 diabetes - impact on treatment and prediction of complications”, Rudbeck seminar series, Uppsala University
Emma Ahlqvist (Invited speaker)
2023 Jan 18Activity: Talk or presentation › Invited talk
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Gene expression studies in embryonic liver
Rashmi Prasad (First/primary/lead supervisor)
2023Activity: Examination and supervision › Supervision
Prizes and distinction
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Medeonstipendiet 2023
Prasad, Rashmi (Recipient), 2023 Nov 14
Prize: Prize (including medals and awards)
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Identifying biomarkers for gestational diabetes to predict diabetes subtypes: a step towards individualized care
Prasad, Rashmi (Recipient), 2023 Jan 1
Prize: Prize (including medals and awards)
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