The DOI matches its Crossref record; 221 of the 222 references it cites were found in a registry or an index.
Cytokines and Abnormal Glucose and Lipid Metabolism
Open accessAbstract
Clear evidence indicates that cytokines, for instance, adipokines, hepatokines, inflammatory cytokines, myokines, and osteokines, contribute substantially to the development of abnormal glucose and lipid metabolism. Some cytokines play a positive role in metabolism action, while others have a negative metabolic role linking to the induction of metabolic dysfunction. The mechanisms involved are not fully understood, but are associated with lipid accumulation in organs and tissues, especially in the adipose and liver tissue, changes in energy metabolism, and inflammatory signals derived from various cell types, including immune cells. In this review, we describe the roles of certain cytokines in the regulation of metabolism and inter-organ signaling in regard to the pathophysiological aspects. Given the disease-related changes in circulating levels of relevant cytokines, these factors may serve as biomarkers for the early detection of metabolic disorders. Moreover, based on preclinical studies, certain cytokines that can induce improvements in glucose and lipid metabolism and immune response may emerge as novel targets of broader and more efficacious treatments and prevention of metabolic disease.
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“Like fetuin-A, fetuin B is the second member of the fetuin family, produced primarily by the liver and acts by inhibiting the tyrosine kinase insulin receptor.”
From Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions (2021) · cites this paper as [18]
In the citing paper
“Thus, fetuin B can promote insulin resistance in myotubes and hepatocytes [18].”
From Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions (2021) · cites this paper as [18]
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“Such situations are regulated via autocrine, paracrine, and endocrine both in the liver and other tissues [18].”
From Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions (2021) · cites this paper as [18]
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“Therefore, hepassocin can be a relevant biomarker for analyzing risk states for diabetes and may be known by other names, such as fibrinogen-like protein 1 and hepatocyte-derived fibrinogen-related protein 1 (HFREP1) [18].”
From Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions (2021) · cites this paper as [18]
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Metadata
- Authors
- Shi, J., Fan, J., Su, Q., & Yang, Z.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Su, Qing
- Yang, Zhen
- Venue
- Frontiers in Endocrinology
- Publisher
- Frontiers Media SA
- Published
- 2019-10-30
- Volume
- 10
- Pages
- 703-703
- ISSN
- 1664-2392 (ISSN-L)
- PMC
- PMC6833922
- OpenAlex
- W2982649663
- Cited by
- 282
- References
- 222
- Citations by year
- 2026: 27 · 2025: 39 · 2024: 37 · 2023: 52 · 2022: 66 · 2021: 46 · 2020: 14 · 2019: 1
- FWCI
- 4.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Endocrinology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (81670743, 81370953)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Physiology (medical) › Adipose Tissue and Metabolism
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Regulation of Appetite and Obesity
- Keywords
- cytokines, adipokines, hepatokines, myokines, osteokines, glucose metabolism, lipid metabolism, metabolic dysfunction, lipid accumulation, energy metabolism, inflammation, immune cells, biomarkers, metabolic disorders, therapeutic target
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 ›
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