Administrative Appointments

  • Faculty Fellow, Stanford Center for Innovation in Global Health (2022 - Present)

Honors & Awards

  • Provost Deiss Award for Biomedical Research, University of Illinois, Chicago (8/20/2015)
  • Chancellor’s graduate research award, University of Illinois, Chicago (8/14/2017)
  • ISS Research Seed Grant, International Skeletal Society (11/1/2023)
  • ASBMR 2021 Young Investigator Award, American Society for Bone and Mineral Research (10/01/2021)
  • Travel award at XIVth Congress of the International Society of Bone Morphometry., International Society of Bone Morphometry. (09/25/2019)
  • ASBMR 2019 Young Investigator Travel Grant, American Society for Bone and Mineral Research. (09/18/2019)
  • Alice L. Jee Young Investigator award, Orthopedic Research Society (07/26/2019)
  • Pre-doctoral education for clinical and translational scientists fellowship, University of Illinois, Chicago (06/20/2016)
  • Cohn Research Fellowship, Rush University Medical Center (04/20/2022)
  • AFMR Midwestern Regional Scholar Award, American Federation for Biomedical Research (04/16/2018)
  • ASIP Trainee Travel Award for Excellence in Neurodegenerative disease Research., Experimental Biology 2020 (04/04/2020)
  • President’s Volunteer Service Award, The President of the United States (04/04/2018)

Boards, Advisory Committees, Professional Organizations

  • Guest Editor, Jove (2020 - Present)
  • Communications Chair, Design and Data Analytics PIA, Alzheimer's Association (2022 - Present)

Professional Education

  • PhD, University of Illinois, Chicago, Bioengineering (2018)

Research Interests

  • Diversity and Identity
  • Educational Policy
  • Higher Education
  • Leadership and Organization
  • Professional Development
  • Research Methods
  • Science Education
  • Technology and Education

All Publications

  • Musculoskeletal imaging of senescence. Skeletal radiology Daldrup-Link, H. E., Suryadevara, V., Tanyildizi, Y., Nernekli, K., Tang, J. H., Meade, T. J. 2024


    Senescent cells play a vital role in the pathogenesis of musculoskeletal (MSK) diseases, such as chronic inflammatory joint disorders, rheumatoid arthritis (RA), and osteoarthritis (OA). Cellular senescence in articular joints represents a response of local cells to persistent stress that leads to cell-cycle arrest and enhanced production of inflammatory cytokines, which in turn perpetuates joint damage and leads to significant morbidities in afflicted patients. It has been recently discovered that clearance of senescent cells by novel "senolytic" therapies can attenuate the chronic inflammatory microenvironment of RA and OA, preventing further disease progression and supporting healing processes. To identify patients who might benefit from these new senolytic therapies and monitor therapy response, there is an unmet need to identify and map senescent cells in articular joints and related musculoskeletal tissues. To fill this gap, new imaging biomarkers are being developed to detect and characterize senescent cells in human joints and musculoskeletal tissues. This review article will provide an overview of these efforts. New imaging biomarkers for senescence cells are expected to significantly improve the specificity of state-of-the-art imaging technologies for diagnosing musculoskeletal disorders.

    View details for DOI 10.1007/s00256-024-04585-8

    View details for PubMedID 38329533

    View details for PubMedCentralID 5785239

  • Spatial mapping of cellular senescence: emerging challenges and opportunities. Nature aging Gurkar, A. U., Gerencser, A. A., Mora, A. L., Nelson, A. C., Zhang, A. R., Lagnado, A. B., Enninful, A., Benz, C., Furman, D., Beaulieu, D., Jurk, D., Thompson, E. L., Wu, F., Rodriguez, F., Barthel, G., Chen, H., Phatnani, H., Heckenbach, I., Chuang, J. H., Horrell, J., Petrescu, J., Alder, J. K., Lee, J. H., Niedernhofer, L. J., Kumar, M., Konigshoff, M., Bueno, M., Sokka, M., Scheibye-Knudsen, M., Neretti, N., Eickelberg, O., Adams, P. D., Hu, Q., Zhu, Q., Porritt, R. A., Dong, R., Peters, S., Victorelli, S., Pengo, T., Khaliullin, T., Suryadevara, V., Fu, X., Bar-Joseph, Z., Ji, Z., Passos, J. F. 2023


    Cellular senescence is a well-established driver of aging and age-related diseases. There are many challenges to mapping senescent cells in tissues such as the absence of specific markers and their relatively low abundance and vast heterogeneity. Single-cell technologies have allowed unprecedented characterization of senescence; however, many methodologies fail to provide spatial insights. The spatial component is essential, as senescent cells communicate with neighboring cells, impacting their function and the composition of extracellular space. The Cellular Senescence Network (SenNet), a National Institutes of Health (NIH) Common Fund initiative, aims to map senescent cells across the lifespan of humans and mice. Here, we provide a comprehensive review of the existing and emerging methodologies for spatial imaging and their application toward mapping senescent cells. Moreover, we discuss the limitations and challenges inherent to each technology. We argue that the development of spatially resolved methods is essential toward the goal of attaining an atlas of senescent cells.

    View details for DOI 10.1038/s43587-023-00446-6

    View details for PubMedID 37400722

  • Thwarting Alzheimer's Disease through Healthy Lifestyle Habits: Hope for the Future. Neurology international Govindugari, V. L., Golla, S., Reddy, S. D., Chunduri, A., Nunna, L. S., Madasu, J., Shamshabad, V., Bandela, M., Suryadevara, V. 2023; 15 (1): 162-187


    Alzheimer's disease (AD) is a neurodegenerative disorder that slowly disintegrates memory and thinking skills. Age is known to be the major risk factor in AD, but there are several nonmodifiable and modifiable causes. The nonmodifiable risk factors such as family history, high cholesterol, head injuries, gender, pollution, and genetic aberrations are reported to expediate disease progression. The modifiable risk factors of AD that may help prevent or delay the onset of AD in liable people, which this review focuses on, includes lifestyle, diet, substance use, lack of physical and mental activity, social life, sleep, among other causes. We also discuss how mitigating underlying conditions such as hearing loss and cardiovascular complications could be beneficial in preventing cognitive decline. As the current medications can only treat the manifestations of AD and not the underlying process, healthy lifestyle choices associated with modifiable factors is the best alternative strategy to combat the disease.

    View details for DOI 10.3390/neurolint15010013

    View details for PubMedID 36810468

  • MegaPro, a clinically translatable nanoparticle for in vivo tracking of stem cell implants in pig cartilage defects. Theranostics Suryadevara, V., Hajipour, M. J., Adams, L. C., Aissaoui, N. M., Rashidi, A., Kiru, L., Theruvath, A. J., Huang, C., Maruyama, M., Tsubosaka, M., Lyons, J. K., Wu, W. E., Roudi, R., Goodman, S. B., Daldrup-Link, H. E. 2023; 13 (8): 2710-2720


    Rationale: Efficient labeling methods for mesenchymal stem cells (MSCs) are crucial for tracking and understanding their behavior in regenerative medicine applications, particularly in cartilage defects. MegaPro nanoparticles have emerged as a potential alternative to ferumoxytol nanoparticles for this purpose. Methods: In this study, we employed mechanoporation to develop an efficient labeling method for MSCs using MegaPro nanoparticles and compared their effectiveness with ferumoxytol nanoparticles in tracking MSCs and chondrogenic pellets. Pig MSCs were labeled with both nanoparticles using a custom-made microfluidic device, and their characteristics were analyzed using various imaging and spectroscopy techniques. The viability and differentiation capacity of labeled MSCs were also assessed. Labeled MSCs and chondrogenic pellets were implanted into pig knee joints and monitored using MRI and histological analysis. Results: MegaPro-labeled MSCs demonstrated shorter T2 relaxation times, higher iron content, and greater nanoparticle uptake compared to ferumoxytol-labeled MSCs, without significantly affecting their viability and differentiation capacity. Post-implantation, MegaPro-labeled MSCs and chondrogenic pellets displayed a strong hypointense signal on MRI with considerably shorter T2* relaxation times compared to adjacent cartilage. The hypointense signal of both MegaPro- and ferumoxytol-labeled chondrogenic pellets decreased over time. Histological evaluations showed regenerated defect areas and proteoglycan formation with no significant differences between the labeled groups. Conclusion: Our study demonstrates that mechanoporation with MegaPro nanoparticles enables efficient MSC labeling without affecting viability or differentiation. MegaPro-labeled cells show enhanced MRI tracking compared to ferumoxytol-labeled cells, emphasizing their potential in clinical stem cell therapies for cartilage defects.

    View details for DOI 10.7150/thno.82620

    View details for PubMedID 37215574

  • NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health NATURE AGING Lee, P. J., Benz, C. C., Blood, P., Boerner, K., Campisi, J., Chen, F., Daldrup-Link, H., De Jager, P., Ding, L., Duncan, F. E., Eickelberg, O., Fan, R., Finkel, T., Furman, D., Garovic, V., Gehlenborg, N., Glass, C., Heckenbach, I., Joseph, Z., Katiyar, P., Kim, S., Koenigshoff, M., Kuchel, G. A., Lee, H., Lee, J., Ma, J., Ma, Q., Melov, S., Metis, K., Mora, A. L., Musi, N., Neretti, N., Passos, J. F., Rahman, I., Rivera-Mulia, J., Robson, P., Rojas, M., Roy, A. L., Scheibye-Knudsen, M., Schilling, B., Shi, P., Silverstein, J. C., Suryadevara, V., Xie, J., Wang, J., Wong, A., Niedernhofer, L. J., Wang, S., Anvari, H., Balough, J., Benz, C., Bons, J., Brenerman, B., Evans, W., Gerencser, A., Gregory, H., Hansen, M., Justice, J., Kapahi, P., Murad, N., O'Broin, A., Pavone, M., Powell, M., Scott, G., Shanes, E., Shankaran, M., Verdin, E., Winer, D., Wu, F., Adams, A., Blood, P. D., Bueckle, A., Cao-Berg, I., Chen, H., Davis, M., Filus, S., Hao, Y., Hartman, A., Hasanaj, E., Helfer, J., Herr, B., Bar Joseph, Z., Molla, G., Mou, G., Puerto, J., Quardokus, E. M., Ropelewski, A. J., Ruffalo, M., Satija, R., Schwenk, M., Scibek, R., Shirey, W., Sibilla, M., Welling, J., Yuan, Z., Bonneau, R., Christiano, A., Izar, B., Menon, V., Owens, D. M., Phatnani, H., Smith, C., Suh, Y., Teich, A. F., Bekker, V., Chan, C., Coutavas, E., Hartwig, M. G., Ji, Z., Nixon, A. B., Dou, Z., Rajagopal, J., Slavov, N., Holmes, D., Jurk, D., Kirkland, J. L., Lagnado, A., Tchkonia, T., Abraham, K., Dibattista, A., Fridell, Y., Howcroft, T., Jhappan, C., Montes, V., Prabhudas, M., Resat, H., Taylor, V., Kumar, M., Cigarroa, F., Cohn, R., Cortes, T. M., Courtois, E., Chuang, J., Dave, M., Domanskyi, S., Enninga, E., Eryilmaz, G., Espinoza, S. E., Gelfond, J., Kirkland, J., Kuo, C., Lehman, J. S., Aguayo-Mazzucato, C., Meves, A., Rani, M., Sanders, S., Thibodeau, A., Tullius, S. G., Ucar, D., White, B., Wu, Q., Xu, M., Yamaguchi, S., Assarzadegan, N., Cho, C., Hwang, I., Hwang, Y., Xi, J., Adeyi, O. A., Aliferis, C. F., Bartolomucci, A., Dong, X., DuFresne-To, M. J., Ikramuddin, S., Johnson, S. G., Nelson, A. C., Revelo, X. S., Trevilla-Garcia, C., Sedivy, J. M., Thompson, E. L., Robbins, P. D., Wang, J., Aird, K. M., Alder, J. K., Beaulieu, D., Bueno, M., Calyeca, J., Chamucero-Millaris, J. A., Chan, S. Y., Chung, D., Corbett, A., Gorbunova, V., Gowdy, K. M., Gurkar, A., Horowitz, J. C., Hu, Q., Kaur, G., Khaliullin, T. O., Lafyatis, R., Lanna, S., Li, D., Ma, A., Morris, A., Muthumalage, T. M., Peters, V., Pryhuber, G. S., Reader, B. F., Rosas, L., Sembrat, J. C., Shaikh, S., Shi, H., Stacey, S. D., St Croix, C., Wang, C., Wang, Q., Watts, A., Gu, L., Lin, Y., Rabinovitch, P. S., Sweetwyne, M. T., Artyomov, M. N., Ballentine, S. J., Chheda, M. G., Davies, S. R., DiPersio, J. F., Fields, R. C., Fitzpatrick, J. J., Fulton, R. S., Imai, S., Jain, S., Ju, T., Kushnir, V. M., Link, D. C., Ben Major, M., Oh, S. T., Rapp, D., Rettig, M. P., Stewart, S. A., Veis, D. J., Vij, K. R., Wendl, M. C., Wyczalkowski, M. A., Craft, J. E., Enninful, A., Farzad, N., Gershkovich, P., Halene, S., Kluger, Y., VanOudenhove, J., Xu, M., Yang, J., Yang, M., SenNet Consortium 2022; 2 (12): 1090-1100