Literature DB >> 27975090

Near infrared spectroscopic assessment of developing engineered tissues: correlations with compositional and mechanical properties.

Arash Hanifi1, Uday Palukuru, Cushla McGoverin, Michael Shockley, Eliot Frank, Alan Grodzinsky, Richard G Spencer, Nancy Pleshko.   

Abstract

Articular cartilage degeneration causes pain and reduces the mobility of millions of people annually. Regeneration of cartilage is challenging, due in part to its avascular nature, and thus tissue engineering approaches for cartilage repair have been studied extensively. Current techniques to assess the composition and integrity of engineered tissues, including histology, biochemical evaluation, and mechanical testing, are destructive, which limits real-time monitoring of engineered cartilage tissue development in vitro and in vivo. Near infrared spectroscopy (NIRS) has been proposed as a non-destructive technique to characterize cartilage. In the current study, we describe a non-destructive NIRS approach for assessment of engineered cartilage during development, and demonstrate correlation of these data to gold standard mid infrared spectroscopic measurements, and to mechanical properties of constructs. Cartilage constructs were generated using bovine chondrocyte culture on polyglycolic acid (PGA) scaffolds for six weeks. BMP-4 growth factor and ultrasound mechanical stimulation were used to provide a greater dynamic range of tissue properties and outcome variables. NIR spectra were collected daily using an infrared fiber optic probe in diffuse reflectance mode. Constructs were harvested after three and six weeks of culture and evaluated by the correlative modalities of mid infrared (MIR) spectroscopy, histology, and mechanical testing (equilibrium and dynamic stiffness). We found that specific NIR spectral absorbances correlated with MIR measurements of chemical composition, including relative amount of PGA (R = 0.86, p = 0.02), collagen (R = 0.88, p = 0.03), and proteoglycan (R = 0.83, p = 0.01). In addition, NIR-derived water content correlated with MIR-derived proteoglycan content (R = 0.76, p = 0.04). Both equilibrium and dynamic mechanical properties generally improved with cartilage growth from three to six weeks. In addition, significant correlations between NIRS-derived parameters and mechanical properties were found for constructs that were not treated with ultrasound (PGA (R = 0.71, p = 0.01), water (R = 0.74, p = 0.02), collagen (R = 0.69, p = 0.04), and proteoglycan (R = 0.62, p = 0.05)). These results lay the groundwork for extension to arthroscopic engineered cartilage assessment in clinical studies.

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Year:  2017        PMID: 27975090      PMCID: PMC5386819          DOI: 10.1039/c6an02167k

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  70 in total

1.  A biomechanical analysis of an engineered cell-scaffold implant for cartilage repair.

Authors:  G M Peretti; M A Randolph; V Zaporojan; L J Bonassar; J W Xu; J C Fellers; M J Yaremchuk
Journal:  Ann Plast Surg       Date:  2001-05       Impact factor: 1.539

2.  The permeability of articular cartilage.

Authors:  A Maroudas; P Bullough; S A Swanson; M A Freeman
Journal:  J Bone Joint Surg Br       Date:  1968-02

3.  Fourier transform infrared imaging spectroscopy analysis of collagenase-induced cartilage degradation.

Authors:  P A West; P A Torzilli; C Chen; P Lin; N P Camacho
Journal:  J Biomed Opt       Date:  2005 Jan-Feb       Impact factor: 3.170

4.  Near infrared spectroscopic evaluation of water in hyaline cartilage.

Authors:  M V Padalkar; R G Spencer; N Pleshko
Journal:  Ann Biomed Eng       Date:  2013-07-04       Impact factor: 3.934

5.  A cartilage tissue engineering approach combining starch-polycaprolactone fibre mesh scaffolds with bovine articular chondrocytes.

Authors:  J T Oliveira; A Crawford; J M Mundy; A R Moreira; M E Gomes; P V Hatton; R L Reis
Journal:  J Mater Sci Mater Med       Date:  2007-02       Impact factor: 3.896

Review 6.  Articular cartilage repair: basic science and clinical progress. A review of the current status and prospects.

Authors:  E B Hunziker
Journal:  Osteoarthritis Cartilage       Date:  2002-06       Impact factor: 6.576

Review 7.  Scaffolds for articular cartilage repair.

Authors:  Sally R Frenkel; Paul E Di Cesare
Journal:  Ann Biomed Eng       Date:  2004-01       Impact factor: 3.934

8.  Cartilage mechanical response under dynamic compression at physiological stress levels following collagenase digestion.

Authors:  Seonghun Park; Steven B Nicoll; Robert L Mauck; Gerard A Ateshian
Journal:  Ann Biomed Eng       Date:  2008-01-12       Impact factor: 3.934

9.  Cartilage tissue engineering using differentiated and purified induced pluripotent stem cells.

Authors:  Brian O Diekman; Nicolas Christoforou; Vincent P Willard; Haosi Sun; Johannah Sanchez-Adams; Kam W Leong; Farshid Guilak
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-30       Impact factor: 11.205

10.  Nondestructive Assessment of Engineered Cartilage Composition by Near Infrared Spectroscopy.

Authors:  Cushla M McGoverin; Arash Hanifi; Uday P Palukuru; Farzad Yousefi; Padraig B M Glenn; Michael Shockley; Richard G Spencer; Nancy Pleshko
Journal:  Ann Biomed Eng       Date:  2016-01-27       Impact factor: 3.934

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  10 in total

Review 1.  Vibrational spectroscopy and imaging: applications for tissue engineering.

Authors:  William Querido; Jessica M Falcon; Shital Kandel; Nancy Pleshko
Journal:  Analyst       Date:  2017-10-23       Impact factor: 4.616

2.  Approaches for In Situ Monitoring of Matrix Development in Hydrogel-Based Engineered Cartilage.

Authors:  Shital Kandel; William Querido; Jessica M Falcon; Daniel J Reiners; Nancy Pleshko
Journal:  Tissue Eng Part C Methods       Date:  2020-04-03       Impact factor: 3.056

3.  Near-Infrared Spectroscopy Predicts Compositional and Mechanical Properties of Hyaluronic Acid-Based Engineered Cartilage Constructs.

Authors:  Farzad Yousefi; Minwook Kim; Syeda Yusra Nahri; Robert L Mauck; Nancy Pleshko
Journal:  Tissue Eng Part A       Date:  2017-05-15       Impact factor: 3.845

4.  Nondestructive assessment of tissue engineered cartilage based on biochemical markers in cell culture media: application of attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy.

Authors:  William Querido; Sabrina Zouaghi; Mugdha Padalkar; Justin Morman; Jessica Falcon; Shital Kandel; Nancy Pleshko
Journal:  Analyst       Date:  2022-04-11       Impact factor: 5.227

5.  Non-Destructive Spectroscopic Assessment of High and Low Weight Bearing Articular Cartilage Correlates with Mechanical Properties.

Authors:  James P Karchner; Farzad Yousefi; Stephanie R Bitman; Kurosh Darvish; Nancy Pleshko
Journal:  Cartilage       Date:  2018-04-24       Impact factor: 4.634

6.  Online quantitative monitoring of live cell engineered cartilage growth using diffuse fiber-optic Raman spectroscopy.

Authors:  Mads S Bergholt; Michael B Albro; Molly M Stevens
Journal:  Biomaterials       Date:  2017-06-14       Impact factor: 12.479

7.  Arthroscopic near infrared spectroscopy enables simultaneous quantitative evaluation of articular cartilage and subchondral bone in vivo.

Authors:  Jaakko K Sarin; Nikae C R Te Moller; Irina A D Mancini; Harold Brommer; Jetze Visser; Jos Malda; P René van Weeren; Isaac O Afara; Juha Töyräs
Journal:  Sci Rep       Date:  2018-09-07       Impact factor: 4.379

Review 8.  Applications of Vibrational Spectroscopy for Analysis of Connective Tissues.

Authors:  William Querido; Shital Kandel; Nancy Pleshko
Journal:  Molecules       Date:  2021-02-09       Impact factor: 4.411

9.  In Situ Assessment of Porcine Osteochondral Repair Tissue in the Visible-Near Infrared Spectral Region.

Authors:  Shital Kandel; William Querido; Jessica M Falcon; Hannah M Zlotnick; Ryan C Locke; Brendan Stoeckl; Jay M Patel; Chetan A Patil; Robert L Mauck; Nancy Pleshko
Journal:  Front Bioeng Biotechnol       Date:  2022-08-23

10.  Monitoring osteoarthritis progression using near infrared (NIR) spectroscopy.

Authors:  Isaac O Afara; Indira Prasadam; Zohreh Arabshahi; Yin Xiao; Adekunle Oloyede
Journal:  Sci Rep       Date:  2017-09-13       Impact factor: 4.379

  10 in total

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