Evidence map›Paper›PMID 35475576›Full record

ReviewBioscience reports2022

Linking hIAPP misfolding and aggregation with type 2 diabetes mellitus: a structural perspective.

Shahab Hassan, Kenneth White, Cassandra Terry

Abstract readReview
In one paragraph

Review in Bioscience reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. The Role of Fenugreek in the Management of Type 2 Diabetes.International journal of molecular sciences · 2024
    Review
  12. Structural Insights into Seeding Mechanisms of hIAPP Fibril Formation.Journal of the American Chemical Society · 2024
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shahab HassanMolecular Systems for Health Research Group, School of Human Sciences, London Metropolitan University, London, United Kingdom.ORCID 0000-0003-1344-106X
Kenneth WhiteMolecular Systems for Health Research Group, School of Human Sciences, London Metropolitan University, London, United Kingdom.ORCID 0000-0002-6103-9078
Cassandra TerryMolecular Systems for Health Research Group, School of Human Sciences, London Metropolitan University, London, United Kingdom.ORCID 0000-0002-8611-8821

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are over 40 identified human disorders that involve certain proteins folding incorrectly, accumulating in the body causing damage to cells and organs and causing disease. Type 2 Diabetes Mellitus (T2DM) is one of these protein misfolding disorders (PMDs) and involves human islet amyloid polypeptide (hIAPP) misfolding and accumulating in parts of the body, primarily in the pancreas, causing damage to islet cells and affecting glucose regulation. In this review, we have summarised our current understanding of what causes hIAPP to misfold, what conformations are found in different parts of the body with a particular focus on what is known about the structure of hIAPP and how this links to T2DM. Understanding the molecular basis behind these misfolding events is essential for understanding the role of hIAPP to develop better therapeutics since type 2 diabetes currently affects over 4.9 million people in the United Kingdom alone and is predicted to increase as our population ages.

Indexed as

Diabetes Mellitus, Type 2Islet Amyloid PolypeptideIslets of LangerhansAmyloidAnimalsHumansPancreasProtein FoldingAmyloidIslet Amyloid PolypeptideamyloiddiabeteshIAPP

Identifiers

PMID35475576
PMCPMC9118370

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.