Evidence map›Paper›PMID 31736870›Full record

ReviewFrontiers in endocrinology2019

Cytokines and Abnormal Glucose and Lipid Metabolism.

Jie Shi, Jiangao Fan, Qing Su, Zhen Yang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 2 pooled it
20.9field-weighted citation impact, top 1% of its field
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

131 citing papers in PubMed, 2 syntheses or guidelines pooled it, 275 citations in OpenAlex.

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71 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Jie ShiDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jiangao FanShanghai Key Laboratory of Children's Digestion and Nutrition, Department of Gastroenterology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Qing SuDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zhen YangDepartment of Endocrinology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
XinHua Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

cytokineglucose metabolisminflammationinsulin resistancelipid metabolism

Identifiers

PMID31736870
PMCPMC6833922
OpenAlexW2982649663

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.