Cited by 274Adipokines, Inflammation, and Metabolic DiseasesPancreatic function and diabetesDiabetes, Cardiovascular Risks, and Lipoproteins

The DOI matches its Crossref record; the references it cites are not checked yet.

Inter-organ crosstalk during development and progression of type 2 diabetes mellitus

Xourafa, Georgia, Korbmacher, Melis, Roden, Michael·2024·Nature Reviews Endocrinology

Abstract

Type 2 diabetes mellitus (T2DM) is characterized by tissue-specific insulin resistance and pancreatic β-cell dysfunction, which result from the interplay of local abnormalities within different tissues and systemic dysregulation of tissue crosstalk. The main local mechanisms comprise metabolic (lipid) signalling, altered mitochondrial metabolism with oxidative stress, endoplasmic reticulum stress and local inflammation. While the role of endocrine dysregulation in T2DM pathogenesis is well established, other forms of inter-organ crosstalk deserve closer investigation to better understand the multifactorial transition from normoglycaemia to hyperglycaemia. This narrative Review addresses the impact of certain tissue-specific messenger systems, such as metabolites, peptides and proteins and microRNAs, their secretion patterns and possible alternative transport mechanisms, such as extracellular vesicles (exosomes). The focus is on the effects of these messengers on distant organs during the development of T2DM and progression to its complications. Starting from the adipose tissue as a major organ relevant to T2DM pathophysiology, the discussion is expanded to other key tissues, such as skeletal muscle, liver, the endocrine pancreas and the intestine. Subsequently, this Review also sheds light on the potential of multimarker panels derived from these biomarkers and related multi-omics for the prediction of risk and progression of T2DM, novel diabetes mellitus subtypes and/or endotypes and T2DM-related complications.

Overview

Integrity signals

Registry

Crossref · 10.1038/s41574-023-00898-1

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Insulin resistance, defined as impaired insulin action in its target tissues, is tightly linked to the pathogenesis of SLD and results from genetic risk and acquired factors, mainly hypercaloric nutrition, gut dysbiosis and specifically adipose tissue dysfunction characterised by redistribution of nonesterified fatty acids and subsequent imbalance of the release of anti- and proinflammatory Cytok

    “Insulin resistance, de fi ned as impaired insulin action in its target tissues, is tightly linked to the pathogenesis of SLD and results from genetic risk and acquired factors, mainly hypercaloric nutrition, gut dysbiosis and speci fi cally adipose tissue dysfunction, which is characterised by redistribution of nonesteri fi ed fatty acids and subsequent imbalance of the release of antiand proin fl”
  • Insulin resistance also associates with cardiometabolic risk factors and represents a key feature of the metabolic syndrome, particularly obesity and T2D.

    “Thereby, insulin resistance also associates with cardiometabolic risk factors and represents a key feature of the metabolic syndrome, particularly obesity and T2D. 216,217”
  • This favours hepatic lipid storage and leads to hepatic insulin resistance with reduced postprandial glycogen storage and increased glucose production.

    “This favours hepatic lipid storage and leads to hepatic insulin resistance with reduced postprandial glycogen storage and increased glucose production. 33,216”

Citations

The citation lists haven’t been fetched yet

References 306 · Cited by 274

Metadata

Authors
Xourafa, G., Korbmacher, M., & Roden, M.
Affiliations
  • Deutsches Diabetes-Zentrum e.V. (DE)
  • Düsseldorf University Hospital (DE)
Corresponding author
Roden, Michael
Venue
Nature Reviews Endocrinology
Published
2023-10-16
Volume
20
Issue
1
Pages
27-49
ISSN
  • 1759-5029 (ISSN-L)
  • 1759-5037
OpenAlex
W4387673083
Cited by
274
References
306
Citations by year
2026: 96 · 2025: 99 · 2024: 77 · 2023: 2
FWCI
10.83
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Reviews Endocrinology (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (RTG/GRK 2576, SFB 1116, CRC/SFB1116/2 B12, SFB 1116/2, Project 3)
  • Bundesministerium für Bildung und Forschung
  • Bundesministerium für Gesundheit
  • Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen (Profilbildung 2020)
  • Eurostars
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Pancreatic function and diabetes
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Keywords
type 2 diabetes, organ crosstalk, insulin resistance, beta-cell dysfunction, adipose tissue, skeletal muscle, liver, intestine, microRNA, extracellular vesicles, exosomes, metabolites, peptides, oxidative stress, endoplasmic reticulum stress, mitochondrial metabolism, inflammation, endocrine dysfunction, multimarker panels, multi-omics, diabetes complications, hyperglycemia
MeSH terms
Diabetes Mellitus, Type 2, Humans, Insulin Resistance, Islets of Langerhans, Pancreas, MicroRNAs

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review