Evidence map›Paper›PMID 26589287›Full record

ArticleBMC systems biology2015

Pathobiochemical signatures of cholestatic liver disease in bile duct ligated mice.

Kerstin Abshagen, Matthias König, Andreas Hoppe, Isabell Müller, Matthias Ebert, Honglei Weng, Herrmann-Georg Holzhütter, Ulrich M Zanger, Johannes Bode, Brigitte Vollmar and 2 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.1field-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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Journal of nutritional science · 2020
    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

12 authors at 6 institutions in 1 country.

Kerstin AbshagenInstitute for Experimental Surgery, University Medicine Rostock, Schillingallee 69a, Rostock, 18057, Germany. kerstin.abshagen@uni-rostock.de.
Matthias KönigInstitute for Biochemistry, Computational Systems Biochemistry Group, Charité University Medicine Berlin, Berlin, 10117, Germany. matthias.koenig@charite.de.
Andreas HoppeInstitute for Biochemistry, Computational Systems Biochemistry Group, Charité University Medicine Berlin, Berlin, 10117, Germany. andreas.hoppe@charite.de.
Isabell MüllerInstitute for Experimental Surgery, University Medicine Rostock, Schillingallee 69a, Rostock, 18057, Germany. isabell-mueller86@web.de.
Matthias EbertDepartment of Medicine II, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany. matthias.ebert@umm.de.
Honglei WengDepartment of Medicine II, Section Molecular Hepatology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany. honglei.weng@medma.uni-heidelberg.de.
Herrmann-Georg HolzhütterInstitute for Biochemistry, Computational Systems Biochemistry Group, Charité University Medicine Berlin, Berlin, 10117, Germany. hergo@charite.de.
Ulrich M ZangerDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, University of Tuebingen, Tuebingen, Stuttgart, 70376, Germany. Uli.Zanger@ikp-stuttgart.de.
Johannes BodeDepartment for Gastroenterology, Hepatology and Infectiology, Heinrich-Heine University of Düsseldorf, Düsseldorf, 40225, Germany. Johannes.Bode@med.uni-duesseldorf.de.
Brigitte VollmarInstitute for Experimental Surgery, University Medicine Rostock, Schillingallee 69a, Rostock, 18057, Germany. brigitte.vollmar@med.uni-rostock.de.
Maria ThomasDr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, University of Tuebingen, Tuebingen, Stuttgart, 70376, Germany. Maria.Thomas@ikp-stuttgart.de.
Steven DooleyDepartment of Medicine II, Section Molecular Hepatology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68167, Germany. Steven.Dooley@medma.uni-heidelberg.de.
Charité - Universitätsmedizin Berlin · DEUniversity of Rostock · DEDr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology · DEHeidelberg University · DEHeinrich Heine University Düsseldorf · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisrupted bile secretion leads to liver damage characterized by inflammation, fibrosis, eventually cirrhosis, and hepatocellular cancer. As obstructive cholestasis often progresses insidiously, markers for the diagnosis and staging of the disease are urgently needed. To this end, we compiled a comprehensive data set of serum markers, histological parameters and transcript profiles at 8 time points of disease progression after bile duct ligation (BDL) in mice, aiming at identifying a set of parameters that could be used as robust biomarkers for transition of different disease progression phases.

resultsStatistical analysis of the more than 6,000 data points revealed distinct temporal phases of disease. Time course correlation analysis of biochemical, histochemical and mRNA transcript parameters (=factors) defined 6 clusters for different phases of disease progression. The number of CTGF-positive cells provided the most reliable overall measure for disease progression at histological level, bilirubin at biochemical level, and metalloproteinase inhibitor 1 (Timp1) at transcript level. Prominent molecular events exhibited by strong transcript peaks are found for the transcriptional regulator Nr0b2 (Shp) and 1,25-dihydroxyvitamin D(3) 24-hydroxylase (Cyp24a1) at 6 h. Based on these clusters, we constructed a decision tree of factor combinations potentially useful as markers for different time intervals of disease progression. Best prediction for onset of disease is achieved by fibronectin (Fn1), for early disease phase by Cytochrome P450 1A2 (Cyp1a2), passage to perpetuation phase by collagen1α-1 (Col1a1), and transition to the progression phase by interleukin 17-a (Il17a), with early and late progression separated by Col1a1. Notably, these predictions remained stable even for randomly chosen small sub-sets of factors selected from the clusters.

conclusionOur detailed time-resolved explorative study of liver homogenates following BDL revealed a well-coordinated response, resulting in disease phase dependent parameter modulations at morphological, biochemical, metabolic and gene expression levels. Interestingly, a small set of selected parameters can be used as diagnostic markers to predict disease stages in mice with cholestatic liver disease.

Indexed as

Systems BiologyAnimalsBile DuctsBiomarkersCell ProliferationCholestasisDisease ProgressionHumansLigationLiverLiver CirrhosisLiver DiseasesMaleMiceMice, Inbred C57BLTime FactorsBiomarkers

Identifiers

PMID26589287
PMCPMC4654904
OpenAlexW2174485351

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.