Abstract
Delivery of nutrients and oxygen within three-dimensional (3D) tissue constructs is important to maintain cell viability. We built 3D cell-laden hydrogels to validate a new tissue perfusion model that takes into account nutrition consumption. The model system was analyzed by simulating theoretical nutrient diffusion into cell-laden hydrogels. We carried out a parametric study considering different microchannel sizes and inter-channel separation in the hydrogel. We hypothesized that nutrient consumption needs to be taken into account when optimizing the perfusion channel size and separation. We validated the hypothesis by experiments. We fabricated circular microchannels (r = 400 μm) in 3D cell-laden hydrogel constructs (R = 7.5 mm, volume = 5 ml). These channels were positioned either individually or in parallel within hydrogels to increase nutrient and oxygen transport as a way to improve cell viability. We quantified the spatial distribution of viable cells within 3D hydrogel scaffolds without channels and with single- and dual-perfusion microfluidic channels. We investigated quantitatively the cell viability as a function of radial distance from the channels using experimental data and mathematical modeling of diffusion profiles. Our simulations show that a large-channel radius as well as a large channel to channel distance diffuse nutrients farther through a 3D hydrogel. This is important since our results reveal that there is a close correlation between nutrient profiles and cell viability across the hydrogel.
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References
Khademhosseini A, Langer R, Borenstein J, Vacanti JP (2006) Proc Natl Acad Sci 103:2480–2487
Orive G, Hernández RM, Gascón AR, Calafiore R, Chang TMS, De Vos P, Hortelano G, Hunkeler D, Lacík I, James Shapiro AM, Pedraz JL (2003) Nat Med 9:104–107
Drury JL, Mooney DJ (2003) Biomaterials 24:4337–4351
Hollister SJ (2005) Nat Mater 4:518–525
Yang S, Leong K, Du Z, Chua C (2001) Tissue Eng 7:679–689
Choi NW, Cabodi M, Held B, Gleghorn JP, Bonassar LJ, Strook AD (2007) Nat Mater 6:908–915
Baksh D, Davies JE (2000) Design strategies for 3-dimensional in vitro bone growth in tissue-engineering scaffolds. University of Toronto Press, Toronto
Kim J (2005) Semin Cancer Biol 15:365–377
Pickl M, Ries CH (2009) Oncogene 28:461–468
Abbott A (2003) Nature 424:870–872
Khademhosseini A, Eng G, Yeh J, Kucharczyk P, Langer R, Vunjak-Novakovic G, Radisic M (2007) Biomed Microdevices 9:149–157
Ling Y, Rubin J, Deng Y, Huang C, Demirci U, Karp JM, Khademhosseini A (2007) Lab Chip 7:756–762
Khademhosseini A, Eng G, Yeh J, Fukuda J, Blumling J, Langer R, Burdick JA (2006) J Biomed Mater Res Part A 79:522–532
Nedović V, Willaert R(2003) Fundamentals of Cell Immobilisation Biotechnology, Kluwer, New York
Peter Lundberg PWK (1997) Magn Reson Med 37:44–52
Rotem A, Toner M, Bhatia S, Foy BD, Tompkins RG, Yarmush ML (2004) Biotechnol Bioeng 43:654–660
Augst AD, Kong HJ (2006) Mooney DJ 6:623–633
Xu T, Gregory C, Molnar P, Cui C, Jalota S, Bhaduri SB, Boland T (2006) Biomaterials 27:3580–3588
Mittal SK, Aggarwal N, Sailaja G, van Olphen A, HogenEsch H, North A et al (2000) Vaccine 19:253–263
Stevens MM, Qanadilo HF, Langer R (2004) Biomaterials 25:887–894
Zimmermann H, Reuss R, Feilen PJ, Manz B, Katsen A, Weber M, Ihmig FR, Gessner P, Behringer M, Steinbach A, Wegner LH, Sukhorukov VL, Schneider S, Weber MM, Volke F, Wolf R, Zimmermann U (2005) J Mater Sci Mater Med 16:491–501
Weibel DB, Whitesides GM (2006) Curr Opin Chem Biol 10:584–591
Nguyen KT, West JL (2002) Biomaterials 23:4307–4314
Albrecht DR, Tsang VL, Sah RL, Bhatia SN (2005) Lab Chip 5:111–118
Demirci U, Montesano G (2007) Lab Chip 7:1139–1145
Khademhosseini A, May MH, Sefton MV (2005) Tissue Eng 11:1797–1806
Chrobak KM, Potter DR, Tien J (2006) Microvasc Res 71:185–196
Nahmias Y, Kramvis I, Barbe L, Casali M, Berthiaume F, Yarmush ML (2006) FASEB J 20:E1828–E1836
Shin M, Matsuda K, Ishii O, Terai H, Kaazempur-Mofrad M, Borenstein J et al (2004) Biomed Microdevices 4:269–278
Fatin-Rouge N, Starchev K, Buffle J (2004) Biophys J 86:2710–2719
Nicholson C (2001) Rep Prog Phys 64:815–884
Frykman S, Srienc F (1998) Biotechnol Bioeng 59:214–226
Jones KS, Sefton MV, Gorczynski RM (2004) Transplantation 78:1454–1462
Gehrke SH, Fisher JP, Palasis M, Lund ME (1997) Ann N Y Acad Sci 831:179–207
Khademhosseini A, Yeh J, Jon SY, Eng G, Suh KY, Burdick J, Langer R (2004) Lab Chip 4:425–430
Volokh KY (2006) Acta Biomater 2:493–504
Acknowledgment
We would like to thank the Randolph Hearst Foundation and Department of Medicine, Brigham and Women’s Hospital for the Young Investigators in Medicine Award. This research is performed at the Bio-Acoustic-MEMS in Medicine (BAMM) Labs, HST Center for Bioengineering, Brigham and Women’s Hospital, Harvard Medical School.
Author contributions
YSS, RLL, UD, and EH wrote the paper. YSS carried out the simulation. GM and GL performed the experiments and collected data. YSS created the model and the theoretical analysis. RLL, YSS, GM, EH, and UD conducted the data analyses. GD, SSY, EK, AK, and EH read and gave feedback on the paper.
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Author contributions
RLL, YSS, GD, and EH wrote the paper. GM and GL performed the experiments and collected data. RLL, YSS, and EH worked on the theoretical analysis. RLL, YSS, GM, EH, and UD conducted the data analyses. GD, SSY, EK, AK, and EH read and gave feedback on the paper. UD oversaw the project, designed the experiments, and wrote the paper.
Young Seok Song and Richard L. Lin have contributed equally to this contribution
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Song, Y.S., Lin, R.L., Montesano, G. et al. Engineered 3D tissue models for cell-laden microfluidic channels. Anal Bioanal Chem 395, 185–193 (2009). https://doi.org/10.1007/s00216-009-2935-1
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DOI: https://doi.org/10.1007/s00216-009-2935-1