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About Diabetes

Diabetes

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About this Collection
Diabetes is a chronic metabolic disease characterised by increased levels of blood glucose due to insulin abnormalities.
In a healthy situation, after food is eaten, glucose level goes up which signals the pancreas to release insulin. This hormone facilitates entry of glucose into cells to use as energy or storage.

Millions of people are affected by diabetes worldwide (60 million in Europe) and is one of the top 10 causes of death globally.

Type I diabetes is an autoimmune disease whose causes are not fully known. It occurs when the body attacks the cells in the pancreas, and they do not produce any insulin. Around 10% of people who have diabetes have this type. On the other hand, in type II diabetes the body does not produce a sufficient amount of insulin, or the insulin produced does not work properly.

The aim of this Collection is to gather research aiming to identify the molecular mechanisms causing diabetes, its more innovative treatments, and its effects on patients’ prognosis and lifestyle.

The scientific approach is purposely broad, among others it includes experimental and clinical medicine, synthetic biology, proteomics, bioinformatics, tissue engineering, machine learning, etc.

Potential topics include:
  • Beta-cell pathophysiology
  • Regulatory genomics of embryonic and adult pancreas
  • Stem cell-derived implants and transplantation
  • Comorbidities associated to diabetes: cardiovascular disease, obesity, weakened bone health, renal complications.
  • Clinical trials

Only research funded by Horizon 2020 and/or Horizon Europe is eligible for publication on Open Research Europe. All article processing charges will be covered centrally by the European Commission.

Open Research Europe requires open access to research data supporting articles under the principle ‘as open as possible, as closed as necessary’. All articles should include citations to repositories that host the data underlying the results, together with any information needed to replicate, validate, and/or reuse the results/your study and analysis of the data. We recognise there may be exceptions due to ethical, data protection, or confidentiality considerations, or because the data have been obtained from a third party and access restrictions apply.
 

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