ArticlePloS one2015
Turnover rates of hepatic collagen and circulating collagen-associated proteins in humans with chronic liver disease.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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.
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.
Who cites it
32 citing papers in PubMed, 57 citations in OpenAlex.
- Extracellular Matrix Microstructures Directly Regulate Glutathione Bioavailability in Human Hepatocytes.Biomacromolecules · 2025Article
- BIGH3 as a potential biomarker for fibrosis in metabolic dysfunction-associated steatotic liver disease: insights from mouse and human studies.BMC gastroenterology · 2025Article
- Extracellular Matrix Microstructures Modulate Hepatic Methionine Cycle and Methylations.Biomacromolecules · 2025Article
- Implications of tissue specific STING protein flux and abundance on inflammation and the development of targeted therapeutics.PloS one · 2025Article
- Altered extracellular matrix dynamics is associated with insulin resistance in adolescent children with obesity.Obesity (Silver Spring, Md.) · 2024Article
- Association of Differentially Altered Liver Fibrosis with Deposition of TGFBi in Stabilin-Deficient Mice.International journal of molecular sciences · 2023Article
- Decellularization of the Human Liver to Generate Native Extracellular Matrix for Use in Automated Functional Assays with Stellate Cells.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Utilizing Nonequilibrium Isotope Enrichments to Dramatically Increase Turnover Measurement Ranges in Single Biopsy Samples from Humans.Journal of proteome research · 2022Article
- Tissue mechanics coevolves with fibrillar matrisomes in healthy and fibrotic tissues.Matrix biology : journal of the International Society for Matrix Biology · 2022Review
- Applications of Quantitative Systems Pharmacology (QSP) in Drug Development for NAFLD and NASH and Its Regulatory Application.Pharmaceutical research · 2022Article
- Characterization of Sequence-Specific Binding of LARP6 to the 5' Stem-Loop of Type I Collagen mRNAs and Implications for Rational Design of Antifibrotic Drugs.Journal of molecular biology · 2022Article
- Imaging of type I procollagen biosynthesis in cells reveals biogenesis in highly organized bodies; Collagenosomes.Matrix biology plus · 2021Article
- Transcriptome and proteome dynamics of cervical remodeling in the mouse during pregnancy†.Biology of reproduction · 2021Article
- Molecular Crosstalk between the Hepatitis C Virus and the Extracellular Matrix in Liver Fibrogenesis and Early Carcinogenesis.Cancers · 2021Review
- Discovery of a Lead Compound for Specific Inhibition of Type I Collagen Production in Fibrosis.ACS medicinal chemistry letters · 2021Article
- Transcriptional Profiling of Porcine HCC Xenografts Provides Insights Into Tumor Cell Microenvironment Signaling.Frontiers in genetics · 2021Article
- Review
- Discovery and evaluation of inhibitor of LARP6 as specific antifibrotic compound.Scientific reports · 2019Article
- Historical and contemporary stable isotope tracer approaches to studying mammalian protein metabolism.Mass spectrometry reviews · 2018Review
- Uncovering a Predictive Molecular Signature for the Onset of NASH-Related Fibrosis in a Translational NASH Mouse Model.Cellular and molecular gastroenterology and hepatology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
Accumulation and degradation of scar tissue in fibrotic liver disease occur slowly, typically over many years. Direct measurement of fibrogenesis, the rate of scar tissue deposition, may provide valuable therapeutic and prognostic information. We describe here results from a pilot study utilizing in vivo metabolic labeling to measure the turnover rate of hepatic collagen and collagen-associated proteins in plasma for the first time in human subjects. Eight subjects with chronic liver disease were labeled with daily oral doses of 2H2O for up to 8 weeks prior to diagnostic liver biopsy and plasma collection. Tandem mass spectrometry was used to measure the abundance and fractional synthesis rate (FSR) of proteins in liver and blood. Relative protein abundance and FSR data in liver revealed marked differences among subjects. FSRs of hepatic type I and III collagen ranged from 0.2-0.6% per day (half-lives of 4 months to a year) and correlated significantly with worsening histologic fibrosis. Analysis of plasma protein turnover revealed two collagen-associated proteins, lumican and transforming growth factor beta-induced-protein (TGFBI), exhibiting FSRs that correlated significantly with FSRs of hepatic collagen. In summary, this is the first direct measurement of liver collagen turnover in vivo in humans and suggests a high rate of collagen remodeling in advanced fibrosis. In addition, the FSRs of collagen-associated proteins in plasma are measurable and may provide a novel strategy for monitoring hepatic fibrogenesis rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.