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NANOPHYSICAL ANALYSIS TO STUDY
         EVOLUTION OF
    VASCULAR AND ARTICULAR
  INFLAMMATORY PATHOLOGIES
  Doctorant: MIREA Dragoş Alexandru

 Directeurs de thèse:
 BLANCHIN Marie-Geneviève - LPMCN
 ŞABAN Rami - UPB
 Co-encadrants:
 TRUNFIO-SFARGHIU Ana-Maria - Lamcos, INSA Lyon
 CIUCĂ Sorin - UPB
Plan
   General introduction
     Inflammatory pathologies
     Chosen strategies

   Vascular pathologies
     Atherosclerosis
     Results


   Articular pathologies
     Osteoarthritis
     Results


   General discussion


                                 2
General Introduction
                  Inflammatory Pathologies
     Vascular                                                   Articular
mortality 37% (2010)                                     invalidity 33% (2010)



                                  Causes ?
Hypertension                                                 Patient's sex
Smoking habits         Only the risk factors are known       Genetically factors
Age                                                          Hormonal factors


         Presently medical treatments are available only
               in advanced stages of pathologies
     Surgery                               Antalgic medicines
                                               Prothesis implant surgery
restore blood flow                               No synthetic synovial
tissue rupture risks                                  fluid available
                                                (efficient as biolubricant)
                               Need for
 Detection of early inflammatory stage (vascular pathologies especially)
     and follow up of subsequent stages of pathology evolution
                                                                                   3
VASCULAR PATHOLOGIES
                              Objectives                ARTICULAR PATHOLOGIES

         DEATH                       RISKS                     INVALIDITY


        New physical approaches to study the evolution of vascular and articular
                            inflammatory pathologies



             Objectives for                            Objectives for
          Vascular Pathologies                     Articular Pathologies

            Testing new mimetics of
   1V    antibodies to detect vascular             Improving knowledge of
                                             1A
             inflammatory markers                 synovial fluid’s structure
     Measuring mechanical/elastic
             properties of                         Correlating synovial fluid
   2V healthy and pathological               2A   structure with rheological
          vascular tissues                        and tribological properties
      (what can improve surgical
               gesture)
                                                                                   4
Strategy
   1V        Measuring the affinity between antibodies
                   and inflammation markers

   1A    Measuring the affinity between different molecular
                 components of the synovial fluid


 ELISA test can not :
                                     Atomic Force Microscopy:
 detect weak adhesion forces
                                        Force Spectroscopy
 be used for lipids


                   Measuring changes in elasticity of
        2V
                 healthy or pathological vascular tissues


Rheometric analysis:
requires large and not              Atomic Force Microscopy:
ruguous samples                        Indentation analysis


                                                                5
Strategy

 2A       Studying the rheological and tribological properties
                          of synovial lubricant




   Fluorescence Recovery                   Tribological analysis:
After Photobleaching (FRAP):             used to determine friction
 used to measure coefficient of             coefficients between
      diffusion of different             different fluid components
    molecules with respect to                     and lipids
       other components                   (towards analysis of joint
(towards rheological properties)           lubrication mechanism)



                                                                       6
Atomic Force Microscopy – Force Spectroscopy



Principle




                                            7
AFM functionalization techniques to
      determine interaction forces
Principle: Generating chemical interactions between free radicals from the
    substances of interest and the radicals from the cantilever binding
                    the substances to the cantilevers




                                            Separator. Offers a higher freedom
                                             degree to the linked molecules

                                                                             8
AFM Force Spectroscopy to measure mechanical
       properties of biological samples
      Nanoindentation will be used here to determine the elastic
                  properties of vascular tissues




   Calibration needed

                                                                   9
Analytical models used to calculate the
       contact stress repartition
                                                            Hertz model




Can be applied for very rigid materials for which elastic deformations are very
                       low or in the lack of adhesion




          JKR model                                    DMT model
                                                                                  10
The Hertz model with respect to indenter’s
               geometry
   Data obtained in the experiments to determine the elastic modulus are usually
                            several force-distance curves
   The elastic modulus determined using equations specific to indenter’s geometry




                                                                               11
Fluorescence Recovery After
   Photobleaching (FRAP)




                              12
Tribological Analysis
Through a collaboration with B.Munteanu (Lamcos, INSA, Lyon)
      Normal load          Fluorescence
      (NL = 2.5N)           Microscope




           Glass
        0.2 nm RMS                                                 Liquid
                                                                environments
  Flurescent Lipid
      Bilayers



 Foucault sensor         Hydrogel ~ few
                            nm RMS
 Measurement of T                              Flexible lames




                                x

                     Moving table (v = 0.6 mm/s)
                                                                  5mm

                                                                               13
Plan
   General introduction
     Inflammatory pathologies
     Chosen strategies

   Vascular pathologies
     Atherosclerosis
     Results


   Articular pathologies
     Osteoarthritis
     Results


   General discussion


                                 14
Vascular Pathologies
                                                             Inflammatory marker
           Atherosclerosis



        I    II   III   IV V      VI 5 mm
  Inflammatory stage    Plaque formation
                                                                          P-Selectin
                MRI Detection
                                                     Surgical Treatment




Targeting contrast agents to improve MRI detection                               15
Vascular Pathologies
    Detection of atherosclerosis through MRI using contrast agents
     Collaboration with
       Cardiovascular
                                                Magnetic core
 Bioengineering Laboratory
 (Inserm, U698), University
  Paris 7, F-75877, France

                  Antibody                      Polymeric cover




       Antibody tested:
   Fucoidan - Mimetic of
PSGl-1 ligand of P-Selectin
   F7200 and F50500 with
 different molecular weights                                      16
AFM functionalization techniques to study interaction
       between Fucoidans and P-Selectin
                      Silanisation with APTES
AFM cantilever
                                                Glass substrate
                                                Glass substrate




                                                CMA separator
                                                molecule used
     Fucoidans
      F7200
      F50500




                                 P-Selectin
                                    and
           Fucoidan                BSA          Proteins      17
AFM study of Fucoidan’s affinity for different proteins

                            Experimental Procedure

   AFM cantilever


                                   No adhesion             Adhesion
F7200
 and                                      Adhesion Peak
F50500




         Glass substrate
         Glass substrate

            P-Selectin
               and
              BSA


         CMA control test         Microscope Veeco Multimode          18
Fucoidan Type       Adhesion Force (nN)   Adhesion percentage
               CMA              0.05                 43.89
1st series
               BSA              0.08                 61.33
F7200
             P-Selectin         0.05                 99.01
             CMA                0.07                 91.98
1stseries
             BSA                0.06                 74.58
F50500
           P-Selectin           0.08                 97.05
2nd series   BSA                0.11                 32.67
F7200      P-Selectin           0.06                 44.49
            CMA                 0.29                  100
2ndseries
            BSA                 0.31                  100
F50500
          P-Selectin            0.33                  100
               CMA              0.22                 24.79
3rd series
               BSA              0.28                 47.22
F7200
             P-Selectin         0.47                 95.66
               CMA              0.21                 23.36
3rdseries
F50500
               BSA              0.05                 43.89
             P-Selectin         0.08                 61.33            19
Vascular inflammation: Affinity of Fucoidan for
               different proteins
     Forces of adhesion between both Fucoidans and proteins are analyzed with
                respect to medium adhesion force in CMA control test




          Noticeable differences appear between the 1st and 2nd series on
   •First andone hand series of rd series of results on the other hand
    •Third series of experiments
               Second and the 3experiments

       The results may beadhesion forceserratic duetest arevalues in medium
                 Medium considered as in control to low weak
       The medium adhesion force values are respect to CMA and BSA to
            adhesion force for P-Selectin with lower in BSA with respect
                               P-Selectin protein test
                   Failure of purification process of Fucoidan?

       Accounting for the fact that adhesion percentage for F7200 in third
     series was 96% this compound can be considered as a good candidate
                               to detect P-Selectin


                                                                              20
Study of mechanical properties for
         vascular tissues
 AFM-FS was used to test the sample’s elasticity
Collaboration with the Department of Vascular and
Endocrine Surgery, Hospital Henri Mondor, Rennes

  Healthy and Pathological
  samples of human aorta
 affected by atherosclerosis
       were obtained



     Stored at -80 C
  immersed in DMSO 10%




                                                    21
Study of mechanical properties of vascular
                tissues
         Pathological and healthy vascular tissue harvesting




  5 mm




                                              2 cm




         2 cm                                                  22
Experimental Procedure
                     AFM Microscope
                    Park Systems XE 70




Pyramidal                     Spherical
 Indenter                     Indenter
                                          23
Study of mechanical properties of
           vascular tissues
Indentation in tissue determined from the force distance curves recorded by AFM
    Elastic modulus of the tissues calculated using Hertz model’s equations


                                   Force vs Indentation curves fitted with a
                                         simple power law: exponent
                                        1.5 – spherical; 2 – pyramidal

                                     From that fitting the correspondent
                                    elastic modulus was calculated using
                                   equations according to the Hertz model


                                   for example here,




                                                                               24
Results




            Elastic modulus (MPa)               Elastic modulus (MPa)
             Pathological tissue                    Healthy tissue


                     0.9
Spherical                                               3.7
Indenter            0.55
                    0.11            Spherical
                                                        4.1
                     2.7            Indenter
Pyramidal            1.7
Indenter                                                3.4
                     1.1
                                                                    25
Results and discussion




    A higher elastic modulus is found for the healthy zones (in agreement with
                        literature values) compared to the
   pathological ones. Decrease in elasticity of pathological tissues is thought to
                be related to increase in adipose and calcification

     Significant differences are obtained with the different types of indenters:
This may be due to the large roughness and the 3D heterogeneity of the samples.

        Friction forces between spherical indenter and samples may be
                           important and cause errors
                                                                                     26
Vascular: conclusions and perspectives
        These results suggest that F7200 can successfully detect P-selectin
                    while F50500 exhibits lower performances




 Elastic moduli were calculated for both healthy and pathological tissue samples
  in agreement with literature values and consistent with influence of pathology
                                                                                   27
Plan
   General introduction
     Inflammatory pathologies
     Chosen strategies

   Vascular pathologies
     Atherosclerosis
     Results


   Articular pathologies
     Osteoarthritis
     Results


   General discussion


                                 28
Articular pathologies




  2 cm



Osteoarthritis is the most common joint disease affecting especially people
 aged over 55. It involves the whole joint and can be associated with cartilage
  loss, changes in the subchondral bone and development of osteophytes.

Rheumatoid Arthritis is a complex autoimmune disease that causes chronic
                      inflammation of synovial joints.
                                                                            29
Synovial joints




         Joint Implants
                               2 cm


                                       Remarkable tribological performances:
              Synovial fluid
                                          Life expectancy over 80 years!


    Many of the current treatments      Current research is focused on
  available are based on the partial   determination of synovial fluid’s
or total replacement of the synovial      structure to obtain a more
       joint by an artificial one        efficient artificial lubricant

                                                                               30
The Synovial Fluid
            Composition of the Synovial Fluid

Physiologic serum

        +               Molecular chain
                                              Hyaluronic
                         L ~ 12 000 nm           acid
     Glucides:
Hyaluronic Acid 3g/l

       +
     Proteines:          3 nm
                                8 nm
   Albumin 18 g/l                                 Albumin
   Globulin 2 g/l                          Glycoproteic gel
                    Globular protein
                                          Oates K.M.N. et all, 2005

        +
                       0,5 nm

    Lipids 3 g/l
                       2,5 nm

                                              Lipid bilayer

                                                                      31
AFM methods to detect affinities between
molecular components of the synovial fluid
          Substances of interest

     1.   Hyaluronic acid                     AFM cantilever
                                                                  CMA – a “separator”
                                                                   in order to keep the
              Lubricin                                                  molecular
                                                                      configuration in
                                                                         solution
    2. Globular proteins (BSA,  globulin )                             Measurement of
                                                                         intermolecular
           3 nm                                                              affinity
                  Polyelectrolyte
                  8 nm                                                        5 nm

       Mimicked here by Mucin III or
     3. Lubricin
               Proteo-Glycan 4
                                                       Lipid bilayer



                                                                                          32
AFM functionalization techniques to study affinity
between molecular components of the synovial fluid
                         Silanisation with APTES
AFM cantilever




                                                         CMA separator
                                                         molecule used




                                   Mucin III, Proteo-
                                      Glycan 4,
                                      BSA and
       Hyaluronic Acid                γ-Globulin        Proteins   33
Lipid bilayer deposition techniques
                       DOPC

                                Co-adsorption technique


   2.5 nm       0.5 nm
                              Langmuir-Blodgett technique



                                Vesicle burst technique
                  DLPC
       2 nm   0.5 nm



                                                          5 nm


                                          Te

                                                          34
Experimental Procedure
                  Affinity of the synovial fluid components for lipid bilayers
                           measured from AFM force distance curves

                                                 Microscope Veeco Multimode


   AFM cantilever




Measurement of
 intermolecular
     affinity
 5 nm




                  Lipid bilayer
                                                     Specific force versus
                                                   distance curves recorded      35
Results
                Functionalized   Penetration    Adhesion    Medium Adhesion
                  substance      percentage    percentage      Force (nN)

                    CMA              0%           9.14%          0.21
 First Series




                     BSA             0%          25.05%          0.31
                  γ-Globulin         0%          23.67%          0.32
                 Hyaluronic        21.54%        61.15%          1.45
                   Acid
                   Mucin III         0%          82.85%          0.58
                    CMA              0%           6.1%           0.18
Second Series




                     BSA             0%           19.8%          0.36
                  γ-Globulin         0%           25.3%          0.23
                 Hyaluronic         15.4%        67.62%          1.06
                   Acid
                    PG 4             0%           65.1%          0.56    36
                                                                          36
Discussion




 The results are analyzed in terms of adhesion force between substances of
interest and lipid bilayers with respect to adhesion force in CMA control test:
 Clearly Lubricin and Hyaluronic Acid exhibit the highest affinities and are
                            thought to play a key role

  The seric proteins which exhibit low affinity for the lipid bilayers probably
                           play a secondary role
      The AFM study represents a static approach: a more “rheological”
               approach is needed to confirm these results                        37
FRAP studies
 Diffusion of the synovial fluid’s main components incubated on lipid bilayers
                     was studied using FRAP techniques

     The DLPC and DOPC lipid bilayers were deposited using both
Langmuir-Blodgett (first series) and Vesicle burst (second series) techniques

       The fluorescence of bilayers was obtained by addition of 1% NBD
                fluorescent molecules in the initial lipid solution

                                    1mg/ml in PBS




                                            0.25mg/ml




            Leica Confocal TSP3 microscope equipped with a
        488nm line of the argon laser for photobleaching was used
                                                                                 38
FRAP studies
                                              2.5μm
                                     ROI

5 nm                                          50μm
                                Between 2 and 45 ROIs
                              + 1 Reference non-bleached




       Displaced exponential law



             Half-Life time



             Diffusion coefficient

                                                           39
                                                            39
Results
               Incubated            Number of      Diffusion        Immobile
              substance of         measurements   coefficient        fraction
                                                               -9
                interest                            (cm2/s) •10
                  DLPC                  6                             0.52
                                                     5.93
             DLPC + Mucin III          89                             0.58
                                                     1.51
 First    DLPC + Hyaluronic Acid
series
                                       30            1.41             0.51
            DLPC + γ-Globulin          58                             0.54
                                                     4.94
               DLPC + BSA              55                             0.59
                                                     4.56
                  DLPC                 51                             0.53
                                                     8.12
                  DOPC                 48                             0.55
                                                     7.86
             DOPC + Mucin III          89                             0.52
Second                                               2.77
 series   DOPC + Hyaluronic Acid       20                             0.54
                                                     5.41
            DOPC + γ-Globulin          52                             0.51
                                                     7.41
               DOPC + BSA              23                             0.59
                                                     6.74                       40
                                                                                  40
Discussion
  Over the two series no significant difference in the diffusion coefficient values
   depending on lipid compound or bilayer deposition technique, except in the
        case of Hyaluronic Acid whose diffusion coefficient remains lower
          No dependence of diffusion coefficients on ROI dimension

  The substances that exhibit high affinity for the lipid bilayers as measured by
AFM-Force Spectroscopy also exhibit here significantly lower diffusion coefficients




                                                                                      41
Tribological Analysis
        Through a collaboration with B.Munteanu (Lamcos, INSA, Lyon)
    Normal load           Fluorescence
    (NL = 2.5N)            Microscope

                                                         1. Physiological serum salt

         Glass
      0.2 nm RMS
                                                            2. Lubricin solution
Flurescent Lipid                                                 200 µg/ml
    Bilayers
                                                         3. Glycoproteic gel: solution
Foucault sensor            Hydrogel ~                                HA
                            few nm            Flexible
Measurement of               RMS                          3mg/ml + BSA 18mg/ml +
                                               lames
      T
                                                             Globulin 2mg/ml
                               x
                    Moving table (v = 0.6 mm/s)           4. Lipid vesicles
                                                             containing
               Friction coefficient (f) = T/N             glycoproteic gel


                     Normal pressure: 0.3 – 1 MPa (similar to knee)
                     Speed : 0.1 – 1 mm/s (no hydrodynamic phenomena)
                                                                                         42
Tribological results
 Lubricant           Fluorescence    Friction        Velocity
                      microscopy    coefficient   accommodation

    Physiological
        salt                         0.008
      solution



       Lubricin
       solution                      0.035
                     80μm




    Glycoproteic
        gel                            0.1

Lipid vesicles

                                     0.008
                                                                  43
Articular Pathologies: conclusions and perspectives

               VOLUME                                                                   INTERFACE
      Trunfio-Sfarghiu A.M, and all.
             BiomMedD'2008



                                             lipid multilamellar          Presence of lipid                   Hills
                                                                                                          A.B., Internal
                                                   vesicles                 multilamellar                   Medicine
                                                                               layers                     Journal 2002
                        0.1µm

                                                                          Lubricin
                                                                          fixes the           Lubricin
      Hyaluronic acid (HA)                             HA and seric     lipid layers   -  adhesion and 
       High affinity for lipid                        proteins remain
 Seric proteins – low adhesion                           inside the
                                                                            on the         COF on lipid
  lipid and reticulation with HA                          vesicles
                                                                          cartilage
                                                                                         -  adhesion on
         glycoproteic gel                                                             cartilage (Rhee D.K., 2005)
COF non included glycoproteic gel
 COF glycoproteic gel included



Hyaluronic acid +
 seric proteins

                                                                                                   Cartilage
                                       Lipid layers                                           Lubricin
                                                                                                                           44
Plan
   General introduction
     Inflammatory pathologies
     Chosen strategies

   Vascular pathologies
     Atherosclerosis
     Results


   Articular pathologies
     Osteoarthritis
     Results


   General discussion


                                 45
General Discussion, Conclusions and
              Perspectives
Vascular pathologies

    Collaboration with Cardiovascular Bioengineering Laboratory (Inserm, U698),
                         University Paris 7, F-75877, France

                                                                 Fucoidan F7200
  Testing new antibody mimetics to detect
      P-Selectin inflammatory marker
                                                                 Fucoidan F50500

    Positive results for F7200 to detect P-Selectin inflammatory marker
       Further tests repeated about ability of F7200 to detect P-, E-,
                            L-Selectin proteins
    Collaboration with Department of Vascular and Endocrine Surgery from
        Hospital Henri Mondor, Rennes & Lamcos, INSA, Lyon, France
       Measuring elasticity for pathological and healthy vascular tissues

                Noticeable differences for elastic modulus values
                between healthy and pathological tissue samples
             This study may help reduce the risk of vascular tissue rupture
                              during angioplasty surgery                           46
General Discussion, Conclusions and
              Perspectives
Articular pathologies

          AFM - Measuring
               molecular                       FRAP – Studying the diffusion of
          affinities between                    different components incubated
           synovial fluid’s                            on lipid substrates
             components                         (towards rheological properties)

        Identification of possible key components for the synovial structure


          Tribological test performed to understand the role of these different
                              components in joint lubrication



               3D model proposed for                  Towards optimization of
           synovial fluid’s volume structure          artificial synovial fluids


                                                                                   47
I would like to give thanks to all everybody from
 LPMCN and UPB, you might not notice it but your
       help was decisive for me, Thank-You !

      Also I have reserved special thanks to my
Thank you for your
colleagues and everybody else, especially Ana-Maria
et Mr. Berthier from Lamcos, INSA, Lyon and also to
the team from Laboratoire Inserm, Paris, Thank-You!
    attention!
   And last but not least, to all of my friends here,
  Bogdan, Ionut, Livia, Ana, Liliana, Mihai, Antonio
                         and
To all of my coleagues Jose, Arnaud, Samuel, Lucas,
  Clement, Guido, Dimitri, Lauri, Alejandro, Tomita,
                Marilena, Na et Simon
                     Thank-You !

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NANOPHYSICAL ANALYSIS TO STUDY EVOLUTION OF

  • 1. NANOPHYSICAL ANALYSIS TO STUDY EVOLUTION OF VASCULAR AND ARTICULAR INFLAMMATORY PATHOLOGIES Doctorant: MIREA Dragoş Alexandru Directeurs de thèse: BLANCHIN Marie-Geneviève - LPMCN ŞABAN Rami - UPB Co-encadrants: TRUNFIO-SFARGHIU Ana-Maria - Lamcos, INSA Lyon CIUCĂ Sorin - UPB
  • 2. Plan  General introduction  Inflammatory pathologies  Chosen strategies  Vascular pathologies  Atherosclerosis  Results  Articular pathologies  Osteoarthritis  Results  General discussion 2
  • 3. General Introduction Inflammatory Pathologies Vascular Articular mortality 37% (2010) invalidity 33% (2010) Causes ? Hypertension Patient's sex Smoking habits Only the risk factors are known Genetically factors Age Hormonal factors Presently medical treatments are available only in advanced stages of pathologies Surgery Antalgic medicines Prothesis implant surgery restore blood flow No synthetic synovial tissue rupture risks fluid available (efficient as biolubricant) Need for Detection of early inflammatory stage (vascular pathologies especially) and follow up of subsequent stages of pathology evolution 3
  • 4. VASCULAR PATHOLOGIES Objectives ARTICULAR PATHOLOGIES DEATH RISKS INVALIDITY New physical approaches to study the evolution of vascular and articular inflammatory pathologies Objectives for Objectives for Vascular Pathologies Articular Pathologies Testing new mimetics of 1V antibodies to detect vascular Improving knowledge of 1A inflammatory markers synovial fluid’s structure Measuring mechanical/elastic properties of Correlating synovial fluid 2V healthy and pathological 2A structure with rheological vascular tissues and tribological properties (what can improve surgical gesture) 4
  • 5. Strategy 1V Measuring the affinity between antibodies and inflammation markers 1A Measuring the affinity between different molecular components of the synovial fluid ELISA test can not : Atomic Force Microscopy: detect weak adhesion forces Force Spectroscopy be used for lipids Measuring changes in elasticity of 2V healthy or pathological vascular tissues Rheometric analysis: requires large and not Atomic Force Microscopy: ruguous samples Indentation analysis 5
  • 6. Strategy 2A Studying the rheological and tribological properties of synovial lubricant Fluorescence Recovery Tribological analysis: After Photobleaching (FRAP): used to determine friction used to measure coefficient of coefficients between diffusion of different different fluid components molecules with respect to and lipids other components (towards analysis of joint (towards rheological properties) lubrication mechanism) 6
  • 7. Atomic Force Microscopy – Force Spectroscopy Principle 7
  • 8. AFM functionalization techniques to determine interaction forces Principle: Generating chemical interactions between free radicals from the substances of interest and the radicals from the cantilever binding the substances to the cantilevers Separator. Offers a higher freedom degree to the linked molecules 8
  • 9. AFM Force Spectroscopy to measure mechanical properties of biological samples Nanoindentation will be used here to determine the elastic properties of vascular tissues Calibration needed 9
  • 10. Analytical models used to calculate the contact stress repartition Hertz model Can be applied for very rigid materials for which elastic deformations are very low or in the lack of adhesion JKR model DMT model 10
  • 11. The Hertz model with respect to indenter’s geometry  Data obtained in the experiments to determine the elastic modulus are usually several force-distance curves  The elastic modulus determined using equations specific to indenter’s geometry 11
  • 12. Fluorescence Recovery After Photobleaching (FRAP) 12
  • 13. Tribological Analysis Through a collaboration with B.Munteanu (Lamcos, INSA, Lyon) Normal load Fluorescence (NL = 2.5N) Microscope Glass 0.2 nm RMS Liquid environments Flurescent Lipid Bilayers Foucault sensor Hydrogel ~ few nm RMS Measurement of T Flexible lames x Moving table (v = 0.6 mm/s) 5mm 13
  • 14. Plan  General introduction  Inflammatory pathologies  Chosen strategies  Vascular pathologies  Atherosclerosis  Results  Articular pathologies  Osteoarthritis  Results  General discussion 14
  • 15. Vascular Pathologies Inflammatory marker  Atherosclerosis I II III IV V VI 5 mm Inflammatory stage Plaque formation P-Selectin MRI Detection Surgical Treatment Targeting contrast agents to improve MRI detection 15
  • 16. Vascular Pathologies  Detection of atherosclerosis through MRI using contrast agents Collaboration with Cardiovascular Magnetic core Bioengineering Laboratory (Inserm, U698), University Paris 7, F-75877, France Antibody Polymeric cover Antibody tested: Fucoidan - Mimetic of PSGl-1 ligand of P-Selectin F7200 and F50500 with different molecular weights 16
  • 17. AFM functionalization techniques to study interaction between Fucoidans and P-Selectin Silanisation with APTES AFM cantilever Glass substrate Glass substrate CMA separator molecule used Fucoidans F7200 F50500 P-Selectin and Fucoidan BSA Proteins 17
  • 18. AFM study of Fucoidan’s affinity for different proteins Experimental Procedure AFM cantilever No adhesion Adhesion F7200 and Adhesion Peak F50500 Glass substrate Glass substrate P-Selectin and BSA CMA control test Microscope Veeco Multimode 18
  • 19. Fucoidan Type Adhesion Force (nN) Adhesion percentage CMA 0.05 43.89 1st series BSA 0.08 61.33 F7200 P-Selectin 0.05 99.01 CMA 0.07 91.98 1stseries BSA 0.06 74.58 F50500 P-Selectin 0.08 97.05 2nd series BSA 0.11 32.67 F7200 P-Selectin 0.06 44.49 CMA 0.29 100 2ndseries BSA 0.31 100 F50500 P-Selectin 0.33 100 CMA 0.22 24.79 3rd series BSA 0.28 47.22 F7200 P-Selectin 0.47 95.66 CMA 0.21 23.36 3rdseries F50500 BSA 0.05 43.89 P-Selectin 0.08 61.33 19
  • 20. Vascular inflammation: Affinity of Fucoidan for different proteins Forces of adhesion between both Fucoidans and proteins are analyzed with respect to medium adhesion force in CMA control test Noticeable differences appear between the 1st and 2nd series on •First andone hand series of rd series of results on the other hand •Third series of experiments Second and the 3experiments The results may beadhesion forceserratic duetest arevalues in medium Medium considered as in control to low weak The medium adhesion force values are respect to CMA and BSA to adhesion force for P-Selectin with lower in BSA with respect P-Selectin protein test Failure of purification process of Fucoidan? Accounting for the fact that adhesion percentage for F7200 in third series was 96% this compound can be considered as a good candidate to detect P-Selectin 20
  • 21. Study of mechanical properties for vascular tissues AFM-FS was used to test the sample’s elasticity Collaboration with the Department of Vascular and Endocrine Surgery, Hospital Henri Mondor, Rennes Healthy and Pathological samples of human aorta affected by atherosclerosis were obtained Stored at -80 C immersed in DMSO 10% 21
  • 22. Study of mechanical properties of vascular tissues Pathological and healthy vascular tissue harvesting 5 mm 2 cm 2 cm 22
  • 23. Experimental Procedure AFM Microscope Park Systems XE 70 Pyramidal Spherical Indenter Indenter 23
  • 24. Study of mechanical properties of vascular tissues Indentation in tissue determined from the force distance curves recorded by AFM Elastic modulus of the tissues calculated using Hertz model’s equations Force vs Indentation curves fitted with a simple power law: exponent 1.5 – spherical; 2 – pyramidal From that fitting the correspondent elastic modulus was calculated using equations according to the Hertz model for example here, 24
  • 25. Results Elastic modulus (MPa) Elastic modulus (MPa) Pathological tissue Healthy tissue 0.9 Spherical 3.7 Indenter 0.55 0.11 Spherical 4.1 2.7 Indenter Pyramidal 1.7 Indenter 3.4 1.1 25
  • 26. Results and discussion A higher elastic modulus is found for the healthy zones (in agreement with literature values) compared to the pathological ones. Decrease in elasticity of pathological tissues is thought to be related to increase in adipose and calcification Significant differences are obtained with the different types of indenters: This may be due to the large roughness and the 3D heterogeneity of the samples. Friction forces between spherical indenter and samples may be important and cause errors 26
  • 27. Vascular: conclusions and perspectives These results suggest that F7200 can successfully detect P-selectin while F50500 exhibits lower performances Elastic moduli were calculated for both healthy and pathological tissue samples in agreement with literature values and consistent with influence of pathology 27
  • 28. Plan  General introduction  Inflammatory pathologies  Chosen strategies  Vascular pathologies  Atherosclerosis  Results  Articular pathologies  Osteoarthritis  Results  General discussion 28
  • 29. Articular pathologies 2 cm Osteoarthritis is the most common joint disease affecting especially people aged over 55. It involves the whole joint and can be associated with cartilage loss, changes in the subchondral bone and development of osteophytes. Rheumatoid Arthritis is a complex autoimmune disease that causes chronic inflammation of synovial joints. 29
  • 30. Synovial joints Joint Implants 2 cm Remarkable tribological performances: Synovial fluid Life expectancy over 80 years! Many of the current treatments Current research is focused on available are based on the partial determination of synovial fluid’s or total replacement of the synovial structure to obtain a more joint by an artificial one efficient artificial lubricant 30
  • 31. The Synovial Fluid Composition of the Synovial Fluid Physiologic serum + Molecular chain Hyaluronic L ~ 12 000 nm acid Glucides: Hyaluronic Acid 3g/l + Proteines: 3 nm 8 nm Albumin 18 g/l Albumin Globulin 2 g/l Glycoproteic gel Globular protein Oates K.M.N. et all, 2005 + 0,5 nm Lipids 3 g/l 2,5 nm Lipid bilayer 31
  • 32. AFM methods to detect affinities between molecular components of the synovial fluid Substances of interest 1. Hyaluronic acid AFM cantilever CMA – a “separator” in order to keep the Lubricin molecular configuration in solution 2. Globular proteins (BSA,  globulin ) Measurement of intermolecular 3 nm affinity Polyelectrolyte 8 nm 5 nm Mimicked here by Mucin III or 3. Lubricin Proteo-Glycan 4 Lipid bilayer 32
  • 33. AFM functionalization techniques to study affinity between molecular components of the synovial fluid Silanisation with APTES AFM cantilever CMA separator molecule used Mucin III, Proteo- Glycan 4, BSA and Hyaluronic Acid γ-Globulin Proteins 33
  • 34. Lipid bilayer deposition techniques DOPC Co-adsorption technique 2.5 nm 0.5 nm Langmuir-Blodgett technique Vesicle burst technique DLPC 2 nm 0.5 nm 5 nm Te 34
  • 35. Experimental Procedure Affinity of the synovial fluid components for lipid bilayers measured from AFM force distance curves Microscope Veeco Multimode AFM cantilever Measurement of intermolecular affinity 5 nm Lipid bilayer Specific force versus distance curves recorded 35
  • 36. Results Functionalized Penetration Adhesion Medium Adhesion substance percentage percentage Force (nN) CMA 0% 9.14% 0.21 First Series BSA 0% 25.05% 0.31 γ-Globulin 0% 23.67% 0.32 Hyaluronic 21.54% 61.15% 1.45 Acid Mucin III 0% 82.85% 0.58 CMA 0% 6.1% 0.18 Second Series BSA 0% 19.8% 0.36 γ-Globulin 0% 25.3% 0.23 Hyaluronic 15.4% 67.62% 1.06 Acid PG 4 0% 65.1% 0.56 36 36
  • 37. Discussion The results are analyzed in terms of adhesion force between substances of interest and lipid bilayers with respect to adhesion force in CMA control test: Clearly Lubricin and Hyaluronic Acid exhibit the highest affinities and are thought to play a key role The seric proteins which exhibit low affinity for the lipid bilayers probably play a secondary role The AFM study represents a static approach: a more “rheological” approach is needed to confirm these results 37
  • 38. FRAP studies Diffusion of the synovial fluid’s main components incubated on lipid bilayers was studied using FRAP techniques The DLPC and DOPC lipid bilayers were deposited using both Langmuir-Blodgett (first series) and Vesicle burst (second series) techniques The fluorescence of bilayers was obtained by addition of 1% NBD fluorescent molecules in the initial lipid solution 1mg/ml in PBS 0.25mg/ml Leica Confocal TSP3 microscope equipped with a 488nm line of the argon laser for photobleaching was used 38
  • 39. FRAP studies 2.5μm ROI 5 nm 50μm Between 2 and 45 ROIs + 1 Reference non-bleached Displaced exponential law Half-Life time Diffusion coefficient 39 39
  • 40. Results Incubated Number of Diffusion Immobile substance of measurements coefficient fraction -9 interest (cm2/s) •10 DLPC 6 0.52 5.93 DLPC + Mucin III 89 0.58 1.51 First DLPC + Hyaluronic Acid series 30 1.41 0.51 DLPC + γ-Globulin 58 0.54 4.94 DLPC + BSA 55 0.59 4.56 DLPC 51 0.53 8.12 DOPC 48 0.55 7.86 DOPC + Mucin III 89 0.52 Second 2.77 series DOPC + Hyaluronic Acid 20 0.54 5.41 DOPC + γ-Globulin 52 0.51 7.41 DOPC + BSA 23 0.59 6.74 40 40
  • 41. Discussion Over the two series no significant difference in the diffusion coefficient values depending on lipid compound or bilayer deposition technique, except in the case of Hyaluronic Acid whose diffusion coefficient remains lower No dependence of diffusion coefficients on ROI dimension The substances that exhibit high affinity for the lipid bilayers as measured by AFM-Force Spectroscopy also exhibit here significantly lower diffusion coefficients 41
  • 42. Tribological Analysis Through a collaboration with B.Munteanu (Lamcos, INSA, Lyon) Normal load Fluorescence (NL = 2.5N) Microscope 1. Physiological serum salt Glass 0.2 nm RMS 2. Lubricin solution Flurescent Lipid 200 µg/ml Bilayers 3. Glycoproteic gel: solution Foucault sensor Hydrogel ~ HA few nm Flexible Measurement of RMS 3mg/ml + BSA 18mg/ml + lames T Globulin 2mg/ml x Moving table (v = 0.6 mm/s) 4. Lipid vesicles containing Friction coefficient (f) = T/N glycoproteic gel Normal pressure: 0.3 – 1 MPa (similar to knee) Speed : 0.1 – 1 mm/s (no hydrodynamic phenomena) 42
  • 43. Tribological results Lubricant Fluorescence Friction Velocity microscopy coefficient accommodation Physiological salt 0.008 solution Lubricin solution 0.035 80μm Glycoproteic gel 0.1 Lipid vesicles 0.008 43
  • 44. Articular Pathologies: conclusions and perspectives VOLUME INTERFACE Trunfio-Sfarghiu A.M, and all. BiomMedD'2008 lipid multilamellar Presence of lipid Hills A.B., Internal vesicles multilamellar Medicine layers Journal 2002 0.1µm Lubricin fixes the Lubricin Hyaluronic acid (HA) HA and seric lipid layers -  adhesion and  High affinity for lipid proteins remain Seric proteins – low adhesion inside the on the COF on lipid lipid and reticulation with HA vesicles cartilage -  adhesion on  glycoproteic gel cartilage (Rhee D.K., 2005) COF non included glycoproteic gel  COF glycoproteic gel included Hyaluronic acid + seric proteins Cartilage Lipid layers Lubricin 44
  • 45. Plan  General introduction  Inflammatory pathologies  Chosen strategies  Vascular pathologies  Atherosclerosis  Results  Articular pathologies  Osteoarthritis  Results  General discussion 45
  • 46. General Discussion, Conclusions and Perspectives Vascular pathologies Collaboration with Cardiovascular Bioengineering Laboratory (Inserm, U698), University Paris 7, F-75877, France Fucoidan F7200 Testing new antibody mimetics to detect P-Selectin inflammatory marker Fucoidan F50500 Positive results for F7200 to detect P-Selectin inflammatory marker Further tests repeated about ability of F7200 to detect P-, E-, L-Selectin proteins Collaboration with Department of Vascular and Endocrine Surgery from Hospital Henri Mondor, Rennes & Lamcos, INSA, Lyon, France Measuring elasticity for pathological and healthy vascular tissues Noticeable differences for elastic modulus values between healthy and pathological tissue samples This study may help reduce the risk of vascular tissue rupture during angioplasty surgery 46
  • 47. General Discussion, Conclusions and Perspectives Articular pathologies AFM - Measuring molecular FRAP – Studying the diffusion of affinities between different components incubated synovial fluid’s on lipid substrates components (towards rheological properties) Identification of possible key components for the synovial structure Tribological test performed to understand the role of these different components in joint lubrication 3D model proposed for Towards optimization of synovial fluid’s volume structure artificial synovial fluids 47
  • 48. I would like to give thanks to all everybody from LPMCN and UPB, you might not notice it but your help was decisive for me, Thank-You ! Also I have reserved special thanks to my Thank you for your colleagues and everybody else, especially Ana-Maria et Mr. Berthier from Lamcos, INSA, Lyon and also to the team from Laboratoire Inserm, Paris, Thank-You! attention! And last but not least, to all of my friends here, Bogdan, Ionut, Livia, Ana, Liliana, Mihai, Antonio and To all of my coleagues Jose, Arnaud, Samuel, Lucas, Clement, Guido, Dimitri, Lauri, Alejandro, Tomita, Marilena, Na et Simon Thank-You !