ArticleBMC musculoskeletal disorders2018
Differential protein expression in human knee articular cartilage and medial meniscus using two different proteomic methods: a pilot analysis.
Article in BMC musculoskeletal disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed, 24 citations in OpenAlex.
- Enhanced bone regeneration via endochondral ossification using Exendin-4-modified mesenchymal stem cells.Bioactive materials · 2024Article
- Mass spectrometry-based proteomics identify novel serum osteoarthritis biomarkers.Arthritis research & therapy · 2022Article
- Ribosome dysfunction in osteoarthritis.Current opinion in rheumatology · 2022Review
- Biological Mechanisms for Cartilage Repair Using a BioCartilage Scaffold: Cellular Adhesion/Migration and Bioactive Proteins.Cartilage · 2021Article
- Manufacturing of Human Tissues as off-the-Shelf Grafts Programmed to Induce Regeneration.Advanced materials (Deerfield Beach, Fla.) · 2021Article
- Proteomic Analysis of the Meniscus Cartilage in Osteoarthritis.International journal of molecular sciences · 2021Article
- Granzyme B Degraded Type IV Collagen Products in Serum Identify Melanoma Patients Responding to Immune Checkpoint Blockade.Cancers · 2020Article
- Proteomic comparison of osteoarthritic and reference human menisci using data-independent acquisition mass spectrometry.Osteoarthritis and cartilage · 2020Article
- Proteomic characterization of the normal human medial meniscus body using data-independent acquisition mass spectrometry.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2020Article
- Characterization of the interleukin-17 effect on articular cartilage in a translational model: an explorative study.BMC rheumatology · 2020Article
- Proteomics, Glycomics, and Glycoproteomics of Matrisome Molecules.Molecular & cellular proteomics : MCP · 2019Review
- Rotator Cuff Tenocytes Differentiate into Hypertrophic Chondrocyte-Like Cells to Produce Calcium Deposits in an Alkaline Phosphatase-Dependent Manner.Journal of clinical medicine · 2019Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundProteomics is an emerging field in the study of joint disease. Our two aims with this pilot analysis were to compare healthy human knee articular cartilage with meniscus, two tissues both known to become affected in the osteoarthritic disease process, and to compare two mass spectrometry (MS)-based methods: data-dependent acquisition (DDA) and data-independent acquisition (DIA).
methodsHealthy knee articular cartilage taken from the medial tibial condyle and medial meniscus samples taken from the body region were obtained from three adult forensic medicine cases. Proteins were extracted from tissue pieces and prepared for MS analysis. Each sample was subjected to liquid chromatography (LC)-MS/MS analysis using an Orbitrap mass spectrometer, and run in both DDA and DIA mode. Linear mixed effects models were used for statistical analysis.
resultsA total of 653 proteins were identified in the DDA analysis, of which the majority was present in both tissue types. Only proteins with quantitation information in both tissues (n = 90) were selected for more detailed analysis, of which the majority did not statistically significantly differ in abundance between the two tissue types, in either of the MS analyses. However, 21 proteins were statistically significantly different (p < 0.05) between meniscus and cartilage in the DIA analysis. Out of these, 11 proteins were also significantly different in the DDA analysis. Aggrecan core protein was the most abundant protein in articular cartilage and significantly differed between the two tissues in both methods. The corresponding protein in meniscus was serum albumin. Dermatopontin exhibited the highest meniscus vs articular cartilage ratio among the statistically significant proteins. The DIA method led to narrower confidence intervals for the abundance differences between the two tissue types than DDA.
conclusionsAlthough articular cartilage and meniscus had similar proteomic composition, we detected several differences by MS. Between the two analyses, DIA yielded more precise estimates and more statistically significant different proteins than DDA, and had no missing values, which makes it preferable for future LC-MS/MS analyses.
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.