Postnatal mechanical loading drives adaptation of tissues primarily through modulation of the non-collagenous matrix

  1. Danae E Zamboulis  Is a corresponding author
  2. Chavaunne T Thorpe
  3. Yalda Ashraf Kharaz
  4. Helen L Birch
  5. Hazel RC Screen
  6. Peter D Clegg
  1. Institute of Ageing and Chronic Disease, Faculty of Health and Life Sciences, University of Liverpool, United Kingdom
  2. Comparative Biomedical Sciences, The Royal Veterinary College, Royal College Street, United Kingdom
  3. University College London, Department of Orthopaedics and Musculoskeletal Science, Stanmore Campus, Royal National Orthopaedic Hospital, United Kingdom
  4. Institute of Bioengineering, School of Engineering and Materials Science, Queen Mary University of London, United Kingdom
6 figures, 3 tables and 7 additional files

Figures

Figure 1 with 1 supplement
Fascicle response to mechanical testing shows increase in strength with development but few significant differences between tendon types, indicating that the fascicles show minimal structural specialisation in response to loading.

(a) Representative curves for 10 preconditioning cycles for the SDFT and CDET fascicles in the foetus and 1–2 years age group. (b) Representative force-extension curves to failure for the SDFT and CDET fascicles in the same age groups. (c–i) Mean SDFT and CDET fascicle biomechanical properties are presented across development, with data grouped into age groups: foetus, 0 days (did not weight-bear), 0–1 month, 3–6 months, 1–2 years. ‡ significant interaction between tendon type and development, * significant difference between tendons, a-b significant difference between age groups. Error bars depict standard deviation. Figure 1—figure supplement 1. SDFT and CDET in the equine forelimb, tendon structure, and schematic showing procedure for biomechanical testing.

Figure 1—figure supplement 1
SDFT and CDET in the equine forelimb, tendon structure, and schematic showing procedure for biomechanical testing.

(a) Schematic of the equine forelimb with the CDET and SDFT highlighted. (b) Tendon structure (partially reproduced from Figure 1, Spiesz et al., 2015), Journal of Orthopaedic Research, published under the Creative Commons Attribution 4.0 International Public License (CC BY 4.0; https://creativecommons.org/licenses/by/4.0/). (c) H and E section of fascicle and IFM and schematic of fascicle and IFM dissection and biomechanical testing.

Mechanical testing of the IFM shows an equivalent increase in failure properties between the SDFT and CDET with development, but development of an extended low stiffness toe region and more elastic behaviour in the SDFT.

(a) Representative curves for 10 preconditioning cycles for the SDFT and CDET IFM in the foetus and 1–2 years age group. (b) Representative force-extension curves to failure for the SDFT and CDET IFM in the same age groups. (c–i) Mean SDFT and CDET IFM biomechanical properties are presented across development, with data grouped into age groups: foetus, 0 days (did not weight-bear), 0–1 months, 3–6 months, 1–2 years. (j–k) To visualise the extended low stiffness toe region in the SDFT IFM, the amount of IFM extension at increasing percentages of failure force is presented, comparing the SDFT and CDET in the foetus and 1–2 years age group. ‡ significant interaction between tendon type and development, * significant difference between tendons, a-g significant difference between age groups. Error bars depict standard deviation.

Figure 3 with 1 supplement
The SDFT and CDET are histologically similar at birth and differentiate with development especially in the IFM.

(a) Representative images of H and E sections of the SDFT and CDET demonstrate structural development: foetus, 0 days (did not weight-bear), 0–1 year, and 1–2 years, whilst (b) Radar plots enable the mean histology scores of the fascicle and IFM for the SDFT and CDET to be compared between the foetus and 1–2 years age group (all data shown in Figure 3—figure supplement 1 and scoring criteria in Supplementary file 1). A decrease in cell numbers, crimp, and IFM width is visible with progression of age, and the aspect ratio of cells in the fascicle increases. Scale bar 100 µm.

Figure 3—figure supplement 1
Scoring of histologic variables for the IFM and fascicle in the SDFT and CDET through postnatal development.

* Significant difference between tendons, a-f significant difference between age groups. Error bars depict standard deviation.

Figure 4 with 1 supplement
Immunohistochemical assays show divergence of PGR4 (lubricin) and elastin with maturation between functionally distinct tendons.

IFM and fascicle staining scores are shown for decorin (DCN), fibromodulin (FMOD), lubricin (PRG4), and tenascin-C (TNC) in the SDFT and CDET, alongside representative images of immunohistochemical staining in the postnatal SDFT. DCN and FMOD staining is found in both IFM (black triangle) and fascicle (white triangle). PRG4 staining in mainly located in the IFM (black triangle) and less staining can be found in the fascicle (white triangle). TNC staining is restricted to the IFM (black triangle) and absent from the fascicle (white triangle). A quantitative measure of elastin (ELN) is provided as percentage of wet weight, alongside a representative image of immunohistochemical staining in the postnatal SDFT. ELN staining is mainly located in the IFM (black triangle) and faint staining can be found in the fascicle (white triangle). Staining scores for elastin are provided in Figure 4—figure supplement 1. ‡ significant change in tendon phase with development, ‡‡ significant interaction between tendon phase and development, * significant difference between tendons, a-d significant difference between age groups. Scale bar 100 µm. Error bars depict standard deviation. Figure 4—figure supplement 1. Scoring of ELN staining for the IFM and fascicle in the SDFT and CDET through postnatal development.

Figure 4—figure supplement 1
Scoring of ELN staining for the IFM and fascicle in the SDFT and CDET through postnatal development.

Error bars depict standard deviation.

Figure 5 with 2 supplements
The fascicle proteome remains the same during postnatal development and tendon loading whereas the IFM proteome starts changing following tendon loading in postnatal development.

(a) Heatmap of differentially abundant proteins in foetus, 0 days (did not weight-bear), 0–1 month, 3–6 months, and 1–2 years SDFT IFM and fascicles (p<0.05, fold change ≥2). Heatmap colour scale ranges from blue to white to red with blue representing lower abundance and red higher abundance. (b) Proteins with identified neopeptides and proteins showing differential total neopeptide abundance across age groups. Graph of proteins showing differential total neopeptide abundance in the SDFT fascicles across development (p<0.05, fold change ≥2, FDR 5%). No proteins showed differential total neopeptide abundance in the IFM. Figure 5—figure supplement 1. Classification of SDFT IFM and fascicle identified proteins and differentially abundant proteins according to their associated location. Figure 5—figure supplement 2. Relative mRNA expression of major ECM genes in whole tissue SDFT and CDET through postnatal development.

Figure 5—figure supplement 1
Classification of SDFT IFM and fascicle identified proteins and differentially abundant proteins (p<0.05, fold change ≥2) according to their associated location.
Figure 5—figure supplement 2
Relative mRNA expression of major ECM genes in whole tissue SDFT and CDET through postnatal development.

* Significant difference between tendons, a-e significant difference between age groups. Error bars depict standard deviation.

TGFB1 is predicted to be involved in compositional changes observed in the IFM.

(a) IPA networks for TGFB1 as an upstream regulator were generated for the foetus and 3–6 months SDFT IFM proteomic datasets. TGFB1 regulation in the IFM is predicted to be inhibited in the foetus and activated at 3–6 months in the SDFT. Red nodes, upregulated proteins, green nodes, downregulated proteins, intensity of colour is related to higher fold-change, orange nodes, predicted upregulated proteins in the dataset, blue nodes, predicted downregulated proteins. (b) Whole tendon relative mRNA expression for TGFB1 in the SDFT and CDET during postnatal development shows an increase in TGFB1 mRNA in the 3–6 months highly loaded SDFT only. * Significant difference between tendons, a significant difference between age groups. (c–d) Relative mRNA expression of major ECM genes predicted to be regulated by TGFB1 in the IPA network following TGB1 knockdown (c) and stimulation with 10 ng recombinant TGF-β1 (d) for 24 hr. BGN, DCN, COMP, COL1A2 and COL3A1 show regulation following TGFB1 knockdown or addition. * Significant difference between control and treatment. Error bars depict standard deviation.

Tables

Table 1
IFM differentially abundant matrisome and matrisome-associated proteins through development organised by highest mean condition (p<0.05, fold change ≥2).

Proteins are arranged into colour-coded divisions and categories. Bar graphs profile the relative abundance of each protein at each development stage, a foetus, b 0 days, c 0–1 month, d 3–6 months, e 1–2 years, with the development age reporting the highest mean protein level also specified.

ProteinDivisionCategoryHighest mean cond.a b c d e
SERPINH1Matrisome-associatedECM RegulatorsFoetus
COL14A1Core matrisomeCollagens0–1 month
ASPNCore matrisomeProteoglycans0–1 month
FMODCore matrisomeProteoglycans0–1 month
KERACore matrisomeProteoglycans0–1 month
FBLN5Core matrisomeECM Glycoproteins0–1 month
FGBCore matrisomeECM Glycoproteins0–1 month
FGGCore matrisomeECM Glycoproteins0–1 month
COL1A2Core matrisomeCollagens3–6 months
COL2A1Core matrisomeCollagens3–6 months
COL4A1Core matrisomeCollagens3–6 months
COL4A2Core matrisomeCollagens3–6 months
COL6A3Core matrisomeCollagens3–6 months
BGNCore matrisomeProteoglycans3–6 months
HSPG2Core matrisomeProteoglycans3–6 months
ADIPOQCore matrisomeECM Glycoproteins3–6 months
FBN1Core matrisomeECM Glycoproteins3–6 months
FN1Core matrisomeECM Glycoproteins3–6 months
LAMB2Core matrisomeECM Glycoproteins3–6 months
LAMC1Core matrisomeECM Glycoproteins3–6 months
NID1Core matrisomeECM Glycoproteins3–6 months
ANXA4Matrisome-associatedECM-affiliated3–6 months
S100A4Matrisome-associatedSecreted Factors3–6 months
COL21A1Core matrisomeCollagens1–2 years
COL3A1Core matrisomeCollagens1–2 years
COL5A1Core matrisomeCollagens1–2 years
COL5A2Core matrisomeCollagens1–2 years
COL6A1Core matrisomeCollagens1–2 years
COL6A2Core matrisomeCollagens1–2 years
DCNCore matrisomeProteoglycans1–2 years
LUMCore matrisomeProteoglycans1–2 years
OGNCore matrisomeProteoglycans1–2 years
PRELPCore matrisomeProteoglycans1–2 years
COMPCore matrisomeECM Glycoproteins1–2 years
DPTCore matrisomeECM Glycoproteins1–2 years
TGFBICore matrisomeECM Glycoproteins1–2 years
Table 2
Fascicle differentially abundant matrisome and matrisome-associated proteins through development organised by highest mean condition (p<0.05, fold change ≥2).

Proteins are arranged into colour-coded divisions and categories. Bar graphs on the right profile the relative abundance of each protein at each development stage, a foetus, b 0 days, c 0–1 month, d 3–6 months, e 1–2 years, with the development age reporting the highest mean protein level also specified.

ProteinDivisionCategoryHighest mean cond.A B C D e
COL11A1Core matrisomeCollagensFoetus
DCNCore matrisomeProteoglycansFoetus
FMODCore matrisomeProteoglycansFoetus
KERACore matrisomeProteoglycansFoetus
PCOLCECore matrisomeECM GlycoproteinsFoetus
SERPINF1Matrisome-associatedECM RegulatorsFoetus
ANXA1Matrisome-associatedECM-affiliated ProteinsFoetus
ANXA2Matrisome-associatedECM-affiliated ProteinsFoetus
ANXA5Matrisome-associatedECM-affiliated ProteinsFoetus
LGALS1Matrisome-associatedECM-affiliated ProteinsFoetus
COL12A1Core matrisomeCollagens0 days
COL3A1Core matrisomeCollagens1–2 years
PRELPCore matrisomeProteoglycans1–2 years
COMPCore matrisomeECM Glycoproteins1–2 years
FN1Core matrisomeECM Glycoproteins1–2 years
Key resources table
Reagent type
(species) or resource
DesignationSource or referenceIdentifiersAdditional information
Biological sample (Equus caballus)Superficial digital flexor tendon and common digital extensor tendonEquine practices and commercial abattoirFoetus-2 years old
Biological sample (Equus caballus)Primary superficial digital flexor tendon tenocytesCommercial abattoirP3 from adult specimens
AntibodyAnti-decorin (mouse IgG)Other(1:1500), Prof. Caterson, Cardiff University, UK
AntibodyAnti-proteoglycan 4 (mouse IgG)Other(1:200), Prof. Caterson, Cardiff University, UK
AntibodyAnti-fibromodulin (rabbit IgG)Other(1:400), Prof. Roughley, McGill University, Canada
AntibodyAnti-tenascin C (mouse IgG)Santa Cruz BiotechnologyRRID:AB_785991(1:250)
AntibodyAnti-elastin (mouse IgG)AbcamRRID:AB_2099589(1:250)
AntibodyZytochem Plus HRP polymer anti-mouseZytomed systemsRRID:AB_2868565(75 µL)
AntibodyZytochem Plus HRP polymer anti-rabbitZytomed systemsRRID:AB_2868566(75 µL)
Sequenced-based reagentEquus caballus TGFB1 Accell SMARTpoolDharmacon, Horizon Discoveryhttps://horizondiscovery.com/en/products/tools/Custom-SMARTpool(1 µM)
Sequenced-based reagentEquus caballus Accell Non-targeting siRNADharmacon, Horizon Discoveryhttps://horizondiscovery.com/en/products/tools/Custom-SMARTpool(1 µM)
Peptide, recombinant proteinRecombinant Human TGF-β1Peprotech100–21(10 ng/mL)
Commercial assay or kitFASTIN Elastin AssayBiocolorhttps://www.biocolor.co.uk/product/fastin-elastin-assay/
Chemical compound, drugRapiGest SFWatershttps://www.waters.com/waters/en_GB/RapiGest-SF-Surfactant/(0.1% w/v)
Software, algorithmHistoQuest Analysis SoftwareTissuegnosticsRRID:SCR_014823
Software, algorithmAdobe Photoshop CS3AdobeRRID:SCR_014199
Software, algorithmPeaks Studio v8.5Bioinformatics Solutionswww.bioinfor.com/peaks-studio
Software, algorithmIngenuity Pathway AnalysisQiagenRRID:SCR_008653
Software, algorithmMatrisomePMID:2197732http://matrisomeproject.mit.edu
Software, algorithmMascotMatrix ScienceRRID:SCR_014322
Software, algorithmNeopeptide AnalyserPMID:28503667https://github.com/PGB-LIV/neo-pep-tool/releases/
Software, algorithmSigmaPlotSystat Software IncRRID:SCR_003210
Software, algorithmGProXPMID:21602510RRID:SCR_000273
OtherChondroitinase ABC from Proteus vulgarisMerckC2509(0.2 U/mL)
OtherHyaluronidase from bovine testesMerckH3506(4800 U/mL)

Additional files

Supplementary file 1

Histologic variables used in the H and E scoring of the SDFT and CDET sections and the analysis method and reporting criteria adopted.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp1-v2.docx
Supplementary file 2

Gene primer sequences used in relative mRNA expression analysis.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp2-v2.docx
Supplementary file 3

Samples used for analysis along with statistical test used for analysis.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp3-v2.docx
Supplementary file 4

Collagens and proteoglycans identified in SDFT IFM and fascicle.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp4-v2.docx
Supplementary file 5

Correlation analysis of IFM protein abundance and mechanical properties across development.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp5-v2.docx
Supplementary file 6

Correlation analysis of TGFB1 whole tendon mRNA expression and IFM protein abundance across development.

https://cdn.elifesciences.org/articles/58075/elife-58075-supp6-v2.docx
Transparent reporting form
https://cdn.elifesciences.org/articles/58075/elife-58075-transrepform-v2.pdf

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  1. Danae E Zamboulis
  2. Chavaunne T Thorpe
  3. Yalda Ashraf Kharaz
  4. Helen L Birch
  5. Hazel RC Screen
  6. Peter D Clegg
(2020)
Postnatal mechanical loading drives adaptation of tissues primarily through modulation of the non-collagenous matrix
eLife 9:e58075.
https://doi.org/10.7554/eLife.58075