Evidence map›Paper›PMID 36158924›Full record

ArticleWorld journal of hepatology2022

Transcriptome changes in stages of non-alcoholic fatty liver disease.

Jihad Aljabban, Michael Rohr, Saad Syed, Kamal Khorfan, Vincent Borkowski, Hisham Aljabban, Michael Segal, Mohamed Mukhtar, Mohammed Mohammed, Maryam Panahiazar and 3 more

Open access · diamondAbstract read
In one paragraph

Article in World journal of hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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  5. Article
  6. Article
  7. PI3K/AKT/SERBP-1 pathway regulatesPharmaceutical biology · 2023
    Article
  8. 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

13 authors at 8 institutions in 2 countries.

Jihad AljabbanDepartment of Medicine, University of Wisconsin Hospital and Clinics, Madison, WI 53792, United States. jaljabban@uwhealth.org.
Michael RohrDepartment of Medicine, University of Central Florida College of Medicine, Orlando, FL 32827, United States.
Saad SyedDepartment of Medicine, Northwestern Memorial Hospital, Chicago, IL 60611, United States.
Kamal KhorfanDepartment of Gastroenterology and Hepatology, University of California San Francisco-Fresno , Fresno, CA 93701, United States.
Vincent BorkowskiDepartment of Medicine, University of Wisconsin Hospital and Clinics, Madison, WI 53792, United States.
Hisham AljabbanDepartment of Medicine, Barry University, Miami, FL 33161, United States.
Michael SegalDepartment of Medicine, University of Wisconsin Hospital and Clinics, Madison, WI 53792, United States.
Mohamed MukhtarDepartment of Medicine, Michigan State University College of Human Medicine, East Lansing, MI 49503, United States.
Mohammed MohammedDepartment of Medicine, Windsor University School of Medicine, Saint Kitts 1621, Cayon, Saint Kitts and Nevis.
Maryam PanahiazarDepartment of Surgery, University of California San Francisco, San Francisco, CA 94305, United States.
Dexter HadleyDepartment of Artificial Intelligence, Pathology, University of Central Florida College of Medicine , Orlando, FL 32827, United States.
Ryan SpenglerDepartment of Medicine, University of Wisconsin Hospital and Clinics, Madison, WI 53792, United States.
Erin SpenglerDepartment of Gastroenterology and Hepatology, University of Wisconsin Hospital and Clinics, Madison, WI 53792, United States.
UW Health University Hospital · USUniversity of Central Florida · USBarry University · USCalifornia State University, Fresno · USMichigan State University · USNorthwestern Memorial Hospital · USUniversity of California, San Francisco · USWindsor University School of Medicine · KN

Funding

Crowd-Assisted Deep Learning (CrADLe) Digital Curation to Translate Big Data into Precision MedicineU01LM012675 · NLM · UNIVERSITY OF CENTRAL FLORIDA · PI HADLEY, DEXTER D · 2017 to 2020
$2.1M
Crowd-sourcing A STAR Functional Genomic Characterization of Cancer with Open Big DataUH2CA203792 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HADLEY, DEXTER D · 2016 to 2017
$634k
NCI NIH HHS UH2 CA203792NLM NIH HHS U01 LM012675
6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the United States and globally. The currently understood model of pathogenesis consists of a 'multiple hit' hypothesis in which environmental and genetic factors contribute to hepatic inflammation and injury.

aimTo examine the genetic expression of NAFLD and non-alcoholic steatohepatitis (NASH) tissue samples to identify common pathways that contribute to NAFLD and NASH pathogenesis.

methodsWe employed the Search Tag Analyze Resource for Gene Expression Omnibus platform to search the The National Center for Biotechnology Information Gene Expression Omnibus to elucidate NAFLD and NASH pathology. For NAFLD, we conducted meta-analysis of data from 58 NAFLD liver biopsies and 60 healthy liver biopsies; for NASH, we analyzed 187 NASH liver biopsies and 154 healthy liver biopsies.

resultsOur results from the NAFLD analysis reinforce the role of altered metabolism, inflammation, and cell survival in pathogenesis and support recently described contributors to disease activity, such as altered androgen and long non-coding RNA activity. The top upstream regulator was found to be sterol regulatory element binding transcription factor 1 (SREBF1), a transcription factor involved in lipid homeostasis. Downstream of SREBF1, we observed upregulation in CXCL10, HMGCR, HMGCS1, fatty acid binding protein 5, paternally expressed imprinted gene 10, and downregulation of sex hormone-binding globulin and insulin-like growth factor 1. These molecular changes reflect low-grade inflammation secondary to accumulation of fatty acids in the liver. Our results from the NASH analysis emphasized the role of cholesterol in pathogenesis. Top canonical pathways, disease networks, and disease functions were related to cholesterol synthesis, lipid metabolism, adipogenesis, and metabolic disease. Top upstream regulators included pro-inflammatory cytokines tumor necrosis factor and IL1B, PDGF BB, and beta-estradiol. Inhibition of beta-estradiol was shown to be related to derangement of several cellular downstream processes including metabolism, extracellular matrix deposition, and tumor suppression. Lastly, we found riciribine (an AKT inhibitor) and ZSTK-474 (a PI3K inhibitor) as potential drugs that targeted the differential gene expression in our dataset.

conclusionIn this study we describe several molecular processes that may correlate with NAFLD disease and progression. We also identified ricirbine and ZSTK-474 as potential therapy.

Indexed as

AKT inhibitorBioinformaticsNon-alcoholic fatty liver diseaseNon-alcoholic steatohepatitisTherapy

Identifiers

PMID36158924
PMCPMC9376779
OpenAlexW4288034022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.