Evidence map›Paper›PMID 34659125›Full record

ArticleFrontiers in endocrinology2021

Predictive Modeling of MAFLD Based on Hsp90α and the Therapeutic Application of Teprenone in a Diet-Induced Mouse Model.

Yuan Xie, Lu Chen, Zhipeng Xu, Chen Li, Yangyue Ni, Min Hou, Lin Chen, Hao Chang, Yuxuan Yang, Huiquan Wang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
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

19 authors at 1 institution in 1 country.

Yuan XieDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Lu ChenDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Zhipeng XuDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Chen LiDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Yangyue NiDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Min HouDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Lin ChenDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Hao ChangDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Yuxuan YangDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Huiquan WangDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Rongbo HeDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Rourou ChenDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Li QianDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Yan LuoDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Ying ZhangDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Na LiDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Yuxiao ZhuDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Minjun JiDepartment of Pathogen Biology, Jiangsu Province Key Laboratory of Modern Pathogen Biology, Center for Global Health, Nanjing Medical University, Nanjing, China.
Yu LiuDepartment of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The heat shock protein (Hsp) 90α is induced by stress and regulates inflammation through multiple pathways. Elevated serum Hsp90α had been found in nonalcoholic steatohepatitis (NASH). Geranylgeranylacetone (GGA, also called teprenone) is a terpenoid derivative. It was reported to induce Hsp and alleviate insulin resistance. We aimed to evaluate the Hsp90α as a biomarker in predicting metabolic-associated fatty liver disease (MAFLD) and define the therapeutic effects of geranylgeranylacetone for the disease. Methods: A clinical study was conducted to analyze the elements associated with Hsp90α, and a predictive model of MAFLD was developed based on Hsp90α. The histopathological correlation between Hsp90α and MAFLD was investigated through a diet-induced mouse model. Furthermore, GGA was applied to the mouse model. Results: Serum Hsp90α was increased in patients with MAFLD. A positive linear relationship was found between age, glycosylated hemoglobin (HbA1c), MAFLD, and serum Hsp90α. Meanwhile, a negative linear relationship with body mass index (BMI) was found. A model using Hsp90α, BMI, HbA1c, and ALT was established for predicting MAFLD. The area under the receiver operating characteristic (ROC) curves was 0.94 (95% CI 0.909-0.971, Conclusions: Serum Hsp90α was elevated in MAFLD, and a positive correlation between serum Hsp90α and the grade of activity of steatohepatitis was observed. The model using BMI, HbA1c, and alanine aminotransferase (ALT) had a good value to predict MAFLD. The findings also revealed the effectiveness of GGA in the treatment of MAFLD.

Indexed as

AdolescentAdultAgedAnimalsBiomarkersCase-Control StudiesDietDisease Models, AnimalDiterpenesFemaleHepatocytesHSP90 Heat-Shock ProteinsHumansMaleMiceMice, Inbred C57BLBiomarkersDiterpenesgeranylgeranylacetoneHSP90 Heat-Shock ProteinsgeranylgeranylacetoneHsp90αMAFLDNASHsteatohepatitisteprenone

Identifiers

PMID34659125
PMCPMC8515197
OpenAlexW3202589400

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.