Evidence map›Paper›PMID 29523084›Full record

ArticleBMC genomics2018

A circulating microRNA signature as noninvasive diagnostic and prognostic biomarkers for nonalcoholic steatohepatitis.

Jie Liu, Yue Xiao, Xikun Wu, Lichun Jiang, Shurong Yang, Zhiming Ding, Zhuo Fang, Haiqing Hua, Mark Stephen Kirby, Jianyong Shou

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Serum miR‑29 is increased in mice with early liver fibrosis.Experimental and therapeutic medicine · 2024
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Update on genetics and epigenetics in metabolic associated fatty liver disease.Therapeutic advances in endocrinology and metabolism · 2022
    Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Jie LiuLilly China Research and Development Center, Shanghai, 201203, China. Liujie.256@gmail.com.ORCID 0000-0003-0090-5830
Yue XiaoLilly China Research and Development Center, Shanghai, 201203, China.
Xikun WuLilly China Research and Development Center, Shanghai, 201203, China.
Lichun JiangLilly China Research and Development Center, Shanghai, 201203, China.
Shurong YangLilly China Research and Development Center, Shanghai, 201203, China.
Zhiming DingLilly China Research and Development Center, Shanghai, 201203, China.
Zhuo FangLilly China Research and Development Center, Shanghai, 201203, China.
Haiqing HuaLilly China Research and Development Center, Shanghai, 201203, China.
Mark Stephen KirbyLilly China Research and Development Center, Shanghai, 201203, China.
Jianyong ShouLilly China Research and Development Center, Shanghai, 201203, China. Jyshou@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNoninvasive biomarkers are urgently needed for patients with nonalcoholic steatohepatitis (NASH) to assist in diagnosis, monitoring disease progression and assessing treatment response. Recently several exploratory studies showed that circulating level of microRNA is associated with NASH and correlated with disease severity. Although these data were encouraging, the application of circulating microRNA as biomarkers for patient screening and stratification need to be further assessed under well-controlled conditions.

resultsThe expression of circulating microRNAs were profiled in diet-induced NASH progression and regression models to assess the diagnostic and prognostic values and the translatability between preclinical mouse model and men. Since these mice had same genetic background and were housed in the same conditions, there were minimal confounding factors. Histopathological lesions were analyzed at distinct disease progression stages along with microRNA measurement which allows longitudinal assessment of microRNA as NASH biomarkers. Next, differentially expressed microRNAs were identified and validated in an independent cohorts of animals. Thirdly, these microRNAs were examined in a NASH regression model to assess whether they would respond to NASH treatment. MicroRNA profiling in two independent cohorts of animals validated the up-regulation of 6 microRNAs (miR-122, miR-192, miR-21, miR-29a, miR-34a and miR-505) in NASH mice, which was designated as the circulating microRNA signature for NASH. The microRNA signature could accurately distinguish NASH mice from lean mice, and it responded to chow diet treatment in a NASH regression model. To further improve the performance of microRNA-based biomarker, a new composite biomarker was proposed, which consists of miR-192, miR-21, miR-505 and ALT. The new composite biomarker outperformed the microRNA signature in predicting NASH mice which had NAS > 3, and deserves further validations in large scale studies.

conclusionThe present study supported the translation of circulating microRNAs between preclinical models and humans in NASH pathogenesis and progression. The microRNA-based composite biomarker may be used for non-invasive diagnosis, clinical monitoring and assessing treatment response for NASH.

Indexed as

Gene Expression ProfilingAnimalsBiomarkersCirculating MicroRNADisease ProgressionHumansLiverMaleMiceMice, Inbred C57BLNon-alcoholic Fatty Liver DiseasePrognosisBiomarkersCirculating MicroRNAALTBiomarkermicroRNAmiR-192miR-21miR-505NASH

Identifiers

PMID29523084
PMCPMC5845150

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.