The objective of the current study was to investigate the feasibility of quantitative 3D ultrashort echo time (UTE)-based biomarkers in detecting proteoglycan (PG) loss and collagen degradation in human cartilage. A total of 104 cartilage samples were harvested for a trypsin digestion study (n = 44), and a sequential trypsin and collagenase digestion study (n = 60), respectively. Forty-four cartilage samples were randomly divided into a trypsin digestion group (tryp group) and a control group (phosphate-buffered saline [PBS] group) (n = 22 for each group) for the trypsin digestion experiment. The remaining 60 cartilage samples were divided equally into four groups (n = 15 for each group) for sequential trypsin and collagenase digestion, including PBS + Tris (incubated in PBS, then Tris buffer solution), PBS + 30 U col (incubated in PBS, then 30 U/ml collagenase [30 U col] with Tris buffer solution), tryp + 30 U col (incubated in trypsin solution, then 30 U/ml collagenase with Tris buffer solution), and tryp + Tris (incubated in trypsin solution, then Tris buffer solution). The 3D UTE-based MRI biomarkers included T , multiecho T *, adiabatic T (AdiabT ), magnetization transfer ratio (MTR), and modeling of macromolecular proton fraction (MMF). For each cartilage sample, UTE-based biomarkers (T , T *, AdiabT , MTR, and MMF) and sample weight were evaluated before and after treatment. PG and hydroxyproline assays were performed. Differences between groups and correlations were assessed. All the evaluated biomarkers were able to differentiate between healthy and degenerated cartilage in the trypsin digestion experiment, but only T and AdiabT were significantly correlated with the PG concentration in the digestion solution (p = 0.004 and p = 0.0001, respectively). In the sequential digestion experiment, no significant differences were found for T and AdiabT values between the PBS + Tris and PBS + 30 U col groups (p = 0.627 and p = 0.877, respectively), but T and AdiabT values increased significantly in the tryp + Tris (p = 0.031 and p = 0.024, respectively) and tryp + 30 U col groups (both p < 0.0001). Significant decreases in MMF and MTR were found in the tryp + 30 U col group compared with the PBS + Tris group (p = 0.002 and p = 0.001, respectively). It was concluded that AdiabT and T have the potential for detecting PG loss, while MMF and MTR are promising for the detection of collagen degradation in articular cartilage, which could facilitate earlier, noninvasive diagnosis of osteoarthritis.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9042587 | PMC |
http://dx.doi.org/10.1002/nbm.4664 | DOI Listing |
Anal Chem
January 2025
Molecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, Massachusetts 01003, United States.
Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) has been used to generate spatial maps of lipids, metabolites, peptides, proteins, and glycans in tissues; however, its use for mapping extracellular matrix (ECM) protein distributions is underexplored. ECM proteins play a major role in various pathological conditions, and changes in their spatial distributions affect the function and morphology of cells within tissues. ECM protein detection is challenging because they are large, insoluble, and undergo various post-translational modifications, such as glycosylation.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Indiana University School of Medicine, Indianapolis, IN, USA.
Background: Although pharmacokinetics and pharmacodynamics of biotherapeutics are commonly studied through ELISAs; however, the extremely strong binding of modern antibody-based therapeutics result in background, inability of secondary antibody binding, and nonlinear response curves. The selectivity and specificity imparted through the use of liquid chromatography-targeted mass spectrometry (LC-MS/MS) allows for absolute quantitation of chosen peptides. For MODEL-AD, here we present a high-throughput workflow for absolute quantification of chimeric aducanumab from cortex and plasma of 5XFAD mice.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Pittsburgh, Pittsburgh, PA, USA.
Background: Neurofibrillary tangles (NFT), consisting of hyperphosphorylated tau aggregates, are one of the major pathological hallmarks of Alzheimer's disease (AD). The burden of NFTs correlates with cognitive decline, and in vivo detection of NFT may help predict the clinical progression of AD. Mass spectrometry-based proteomic analysis of brain regions affected by NFTs holds the potential to unveil the molecular mechanisms underlying tau pathogenesis and uncover novel diagnostic/prognostic biomarkers and therapeutic targets.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Instituto de Salud Carlos III, Madrid, Madrid, Spain.
Background: Despite being the most common cause of dementia worldwide, the mechanisms underlying the progression of Alzheimer's disease (AD) are not clear and effective treatments are still needed. Hence, further investigation regarding the pathogenesis of AD is required, which might allow for a better understanding of the disease, as well as for an early diagnosis of AD, thus improving the clinical management of AD patients. Here, to identify key proteins in AD pathogenesis, we performed two proteomics strategies, TMT (Tandem Mass Tags) 10-plex quantitative proteomics and LFQ (Label Free Quantification).
View Article and Find Full Text PDFCurr Protoc
January 2025
Center for Stem Cell Research and Development (PEDI-STEM), Hacettepe University, Ankara, Turkey.
Bone marrow adipose tissue (BMAT) has garnered significant attention due to its critical roles in leukemia pathogenesis, cancer metastasis, and bone marrow failure. BMAT is a metabolically active, distinct tissue that differs from other fat depots. Marrow adipocytes, closely interacting with hematopoietic stem/progenitor cells and osteoblasts, play a pivotal role in regulating their functions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!