Evidence map›Paper›PMID 34420934›Full record

ReviewGut and liver2022

Multidimensional Biomarker Analysis Including Mitochondrial Stress Indicators for Nonalcoholic Fatty Liver Disease.

Eunha Chang, Jae Seung Chang, In Deok Kong, Soon Koo Baik, Moon Young Kim, Kyu-Sang Park

Open access · diamondAbstract readReview
In one paragraph

Review in Gut and liver, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Eunha ChangDepartment of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-8510-9368
Jae Seung ChangDepartment of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-4047-1128
In Deok KongDepartment of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-9821-6103
Soon Koo BaikDepartment of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0001-6245-2537
Moon Young KimDepartment of Mitohormesis Research Center, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0002-8566-2091
Kyu-Sang ParkDepartment of Physiology, Yonsei University Wonju College of Medicine, Wonju, Korea.ORCID https://orcid.org/0000-0003-0322-9807
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is accompanied by a complex and multifactorial pathogenesis with sequential progressions from inflammation to fibrosis and then to cancer. This heterogeneity interferes with the development of precise diagnostic and prognostic strategies for NAFLD. The current approach for the diagnosis of simple steatosis, steatohepatitis, and cirrhosis mainly consists of ultrasonography, magnetic resonance imaging, elastography, and various serological analyses. However, individual dry and wet biomarkers have limitations demanding an integrative approach for the assessment of disease progression. Here, we review diagnostic strategies for simple steatosis, steatohepatitis and hepatic fibrosis, followed by potential biomarkers associated with fat accumulation and mitochondrial stress. For mitochondrial stress indicators, we focused on fibroblast growth factor 21 (FGF21), growth differentiation factor 15 (GDF15), angiopoietin-related growth factor and mitochondrial-derived peptides. Each biomarker may not strongly indicate the severity of steatosis or steatohepatitis. Instead, multidimensional analysis of different groups of biomarkers based on pathogenic mechanisms may provide decisive diagnostic/prognostic information to develop a therapeutic plan for patients with NAFLD. For this purpose, mitochondrial stress indicators, such as FGF21 or GDF15, could be an important component in the multiplexed and contextual interpretation of NAFLD. Further validation of the integrative evaluation of mitochondrial stress indicators combined with other biomarkers is needed in the diagnosis/prognosis of NAFLD.

Indexed as

Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseBiomarkersDisease ProgressionHumansLiverLiver CirrhosisBiomarkersBiomarkersFibroblast growth factor 21Growth differentiation factor 15Mitochondrial stressNon-alcoholic fatty liver disease

Identifiers

PMID34420934
PMCPMC8924798
OpenAlexW3195452967

What OpenQuestion holds

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LicenceCC BY-NC
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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.