David A. Juckett, Ph.D.
- H-K, Online Faculty
Professor (Fixed Term),
Pharmacology & Toxicology
Dr. David A. Juckett
B500 W. Fee Hall
909 Fee Rd
East Lansing, MI 48823
- 1973 - B.S. Physics, Michigan State Univ.
- 1976 - M.S. Biophysics, Michigan State Univ.
- 1979 - Ph.D. Biophysics, Michigan State Univ.
- 1979-1981 - Postdoctoral Fellow, Dept. Biological Chemistry, University of Michigan
- 1981-1985 - Research Fellow, Biochemistry Dept., St. Jude Children’s Research Hospital
- 1985-2010 - Associate Director, Barros Research Institute, &- fixed-term faculty Dept. of Chemistry, Michigan State Univ.
- 2010 – present - Clinical & Translational Sciences Institute & - fixed-term Professor, Department of Pharmacology and Toxicology,- Michigan State University
Early in my career, I focused on the presence of extracellular DNA from cancer cells; electron transfer between reductases and hemoglobin; and mitigation of toxic effects in cancer chemotherapies through the use of dithiocarbamates.
Upon returning to Michigan, I served as the Associate Director of the Barros Research Institute (BRI) for twenty-five years (1985 – 2010) and maintained a fixed-term appointment at MSU within the Chemistry Department. The Institute was founded in 1982 by Dr. Barnett Rosenberg following his discovery of the widely used cisplatin and carboplatin anti-cancer drugs and it operated under a joint agreement with Michigan State University. I was responsible for implementing and coordinating the Institute’s proprietary research activities in the fields of cancer and aging. In the latter half of this 25-year period, the Institute focused on developing and testing biopharmaceutical agents with anti-cancer, anti-viral, and vaccine adjuvant activities. I co-directed the research and oversaw process development, drug production, assay development and validation, QC, QA, toxicology, pre-clinical animal trials, human phase I trials, translational research, IT management, data analyses, and intellectual property disclosures and patents. The Institute closed in 2010 and I transferred to the Clinical and Translational Sciences Institute (CTSI) at MSU because of my background in T1 translational sciences. In keeping with this background, my academic ties are now with the Department of Pharmacology and Toxicology.
I also maintain interest in other diverse areas of research which include: mathematical models of disease-specific mortality; cosmogenic interactions with the biosphere; and the study of variations of activity in the Sun and the interplanetary magnetic fields. I have published several articles in each of these areas.
My current research is in the area of biomedical informatics. MSU has a research partnership with the Michigan Pain Consultants (MPC) of Grand Rapids allowing access to their community-based practice data. The overall goal of this project is to create a knowledge base to support pain research and to drive clinical decision support for supplementary diagnostic and treatment advice in chronic pain management. Working with collaborators from MPC and MSU, I am leading the efforts to build a person-in-pain phenotype model which will be linked to treatment outcomes. This is based on the assumption that the structured data of patient-reported outcomes and unstructured clinical progress notes can provide sufficient examples of the symptom-to-outcome trajectory to allow construction of phenotypes and mapping to outcomes. Using psychometric tools and natural language processing, our team will build models and test predictions to evaluate whether community medical practices can provide evidence-generating medicine to underpin the development of evidence-based practice tuned to the community setting.
Full list of publications at MSU Scholars
- Juckett D.A., Davis FN, Gostine M, Kasten EP, Reed PL, Gardiner J, Risko R. Discordant patient pain level reporting between questionnaires and physician encounters of the same day. AMIA Annu Symp Proc. 2017; 667-676. PMID:e 28269863 PMCID: PMC5333309
- Juckett D.A., Kasten EP, Davis FN, Gostine M. Concept detection using text exemplars aligned with a specialized ontology. Data & Knowledge Engineering 2019; 119: 22-35
- Juckett, D.A. method for determining the number of documents needed for a gold standard corpus. J. Biomedical Inform 2012, 45: 460-470. DOI:10.1016/j.jbi.2011.12.010. PMID: 22245601
- Juckett, D.A. What determines age-related disease: Do we know all the right questions? AGE 2010, 32: 155-160. DOI 10.1007/s11357-009-9120-5. PMID: 19904627
- Juckett, D.A. Evidence for interactions between the solar wind and global sea surface temperatures (SST). Journal of Atmospheric and Solar-Terrestrial Physics 2010, 72, 801-805. DOI:10.1016/j.jastp.2010.03.01.
- Juckett, D.A. Coupled g-mode intersections and solar cycle variability. Solar Physics 2010, 262: 3-17. DOI 10.1007/s11207-010-9507-6.
- Juckett, D.A., Wolff, C.L. Correspondence between solar variability (0.6 - 7.0 years) and the theoretical positions of rotating sets of coupled g modes. Solar Physics, 2009, 256: 13-36. DOI 10.1007/s11207-009-9340-y.
- Juckett, D.A., Aylsworth, C.F, and Quensen, J.M. Intestinal protozoa are hypothesized to stimulate immunosurveillance against colon cancer. Medical Hypotheses 2008, 71: 104-110. doi:10.1016/j.mehy.2008.01.024. PMID: 18343044
- Juckett, D.A. A 17-year oscillation in cancer mortality birth cohorts on three continents – synchrony to cosmic ray modulations one generation earlier. Int. J. Biometeorology, 2009, 53: 487-499. DOI 10.1007/s00484-009-0237-0. PMID: 19506913
- Rader, J.S., Aylsworth, C.F., Juckett, D.A., Mutch, D.G., Powell, M.A., Lippmann, L., Dimitrov, N.V. Phase I study and preliminary pharmacology of the novel innate immune modulator rBBX-01 in gynecological cancers. Clinical Cancer Res. 2008, 14: 3089-3097. DOI:10.1158/1078-0432.CCR-07-4250. PMID: 18483376
- Juckett, D.A. Correlation of a 140-year global time signature in cancer mortality birth cohorts with galactic cosmic ray variation. Int. J. Astrobiol. 2007, 6: 307-319. doi:10.1017/S1473550407003928.
- Rosenberg, B, Juckett, D.A., Aylsworth, C.F., Dimitrov, N.V., Ho, S-C., Judge, J.W., Kessel, S., Quensen, J., Wong, K-P, H., Zlatkin, I., and Zlatkin, T. Protein from intestinal Eimeria protozoan stimulates IL-12 release from dendritic cells, exhibits antitumor properties in vivo and is correlated with low intestinal tumorigenicity. Int. J. Cancer 2005, 114: 756-765. PMID: 15609305
- Juckett, D.A. Chemotherapy (Entry in Chemistry: Foundations and Applications, Macmillan Reference USA, 2004).
- Juckett, D.A. and Rosenberg, B. Comparison of the Gompertz and Weibull functions as descriptors for human mortality distributions and their intersections. Mech. Ageing Dev. 1993, 69: 1-31. PMID: 8377524
- Juckett, D.A. and Rosenberg, B. Human disease mortality kinetics are explored through a chain model embodying principles of extreme value theory and competing risks. J. Theor. Biol. 155:463, 1992. PMID: 1619962
- Juckett, D.A. and Rosenberg, B. Periodic clustering of human disease-specific mortality distributions by shape and time position, and a new integer-based law of mortality. Mech. Ageing Dev.1990, 55:255. PMID: 2232917
My career has been diverse, ranging from cancer and aging research to solar physics, biospheric effects of radiation, and epidemiological evidence for epigenetic effects in disease. Interwoven with these research interests has been proprietary work in the discovery and development of bio-therapeutics. In each of these areas I have made modest contributions.
In the field of cancer, I worked on changes in cell surfaces that occur with cisplatin treatment. This work was part of a small field of investigators that were documenting nucleic acids on the surface of cells. At the time, the power of DNA analysis was not available, nor the potential of the importance of non-coding DNA in cell functioning. This was some of the early work that suggested cells were exchanging DNA. In later years, our proprietary work the Barros Research Institute led to some publications on cancer immunotherapy and the discovery of the first innate immune stimulator from a protozoan.
- Juckett DA, Rosenberg B. Actions of cis-diamminedichloroplatinum on cell surface nucleic acids in cancer cells as determined by cell electrophoresis techniques. Cancer Res. 1982 Sep;42(9):3565-73. PubMed PMID: 6286110.
- Rosenberg B, Juckett DA, Aylsworth CF, Dimitrov NV, Ho SC, et al. Protein from intestinal Eimeria protozoan stimulates IL-12 release from dendritic cells, exhibits antitumor properties in vivo and is correlated with low intestinal tumorigenicity. Int J Cancer. 2005 May 1;114(5):756-65. PubMed PMID: 15609305.
- Juckett DA, Aylsworth CF, Quensen JM. Intestinal protozoa are hypothesized to stimulate immunosurveillance against colon cancer. Med Hypotheses. 2008;71(1):104-10. PubMed PMID: 18343044.
- Rader JS, Aylsworth CF, Juckett DA, Mutch DG, Powell MA, et al. Phase I study and preliminary pharmacology of the novel innate immune modulator rBBX-01 in gynecologic cancers. Clin Cancer Res. 2008 May 15;14(10):3089-97. PubMed PMID: 18483376
Early in my career I also collaborated with Barnett Rosenberg on theoretical work in the field of aging and mortality. We discovered a new mathematical relationship linking combinatoric principles to steps in a rare event sequence that had as its asymptotic limit such extreme-value distributions as the Weibull (Gumbel) and Gompertz equations. During this work, we also discovered interesting integer-based relationships among disease prevalence that are still unexplained to this day.
- Juckett DA. Cellular aging (the Hayflick limit) and species longevity: a unification model based on clonal succession. Mech Ageing Dev. 1987 Mar;38(1):49-71. PubMed PMID: 3600044.
- Juckett DA, Rosenberg B. An unexpected periodicity among the prevalences of human age-related, mortal diseases. Mech Ageing Dev. 1991 Jun 14;59(1-2):139-52. PubMed PMID: 1890878.
- Juckett DA, Rosenberg B. Human disease mortality kinetics are explored through a chain model embodying principles of extreme value theory and competing risks. J Theor Biol. 1992 Apr 21;155(4):463-83. PubMed PMID: 1619962.
- Juckett DA. What determines age-related disease: do we know all the right questions?. Age (Dordr). 2010 Jun;32(2):155-60. PubMed PMID: 19904627; PubMed Central PMCID: PMC2861754.
During our exploration of human disease-specific mortality and population longevity, we noticed a strong relationship between human longevity and cancer mortality to variations in the flux of cosmic rays in the environment. This was the first strong evidence that low-level cosmic ray radiation may have an influence on the germ line. It was also among the first indirect evidence for mother and grandmother effects affecting cancer mortality. The implication of these findings was that an epigenetic effect was operating to cause the fluctuations. This has profound implications for the amount of information passing between generations and is a warning for any space colonization efforts to locations unprotected from the cosmic ray background – such as Mars or the Moon.
- Juckett DA, Rosenberg B. Correlation of human longevity oscillations with sunspot cycles. Radiat Res. 1993 Mar;133(3):312-20. PubMed PMID: 8451381.
- Juckett DA, Rosenberg B. Time series analysis supporting the hypothesis that enhanced cosmic radiation during germ cell formation can increase breast cancer mortality in germ cell cohorts. Int J Biometeorol. 1997 Jun;40(4):206-21. PubMed PMID: 9225597.
- Juckett DA. Correlation of a 140-year global time signature in cancer mortality birth cohorts with galactic cosmic ray variation. International Journal of Astrobiology. 2007 August 29; 6(4):307-319.
- Juckett DA. A 17-year oscillation in cancer mortality birth cohorts on three continents - synchrony to cosmic ray modulations one generation earlier. Int J Biometeorol. 2009 Nov;53(6):487-99. PubMed PMID: 19506913.
As a result of my work on the influence of solar-modulated cosmic ray fluxes on the biosphere, I built on my background in physics and became involved in exploring the unexplained oscillations of the Sun. This generated several significant contributions. I was the first to document a 17-year cycle in the interplanetary magnetic field, which likely originates in the open field regions of the solar surface. I also worked with Charles Wolff of NASA Goddard Space Flight Center to show that his theory of coupled g-modes for the interior of the Sun has supportive evidence within the observable oscillations in the solar surface sunspot patterns.
- Juckett DA. Evidence for a 17-year cycle in the IMF directions at 1 au, in solar coronal hole variations, and in planetary magnetospheric modulations. Solar Physics. 1998; 183:201-224.
- Juckett DA. Temporal variations of low-order spherical harmonic representations of sunspot group patterns: Evidence for solar spin-orbit coupling. Astronomy & Astrophysics. 2003; 399:731-741
- Juckett DA. Prograde and Retrograde Waves in Sunspot Eruption Patterns with Longitudinal Velocities of ∼30 – 75 ms−1. Solar Physics. 2007; 245:37-53.
- Juckett DA, Wolff CL. Correspondence between Solar Variability (0.6 – 7.0 Years) and the Theoretical Positions of Rotating Sets of Coupled g Modes. Solar Physics. 2009; 257:13-36.
After leaving the Barros Research Institute and joining the Clinical & Translational Sciences Institute at MSU, I have begun using my analytical skill to explore the development of pain phenotypes. This has involved the field of natural language processing. I was the first to publish a paper to determine the size needed for a gold standard corpus. My current work continues in this field, with the goal of transforming the patient and provider perspectives of a large community pain management service into a clinical decision support tool for the primary care setting.
- Juckett D. A method for determining the number of documents needed for a gold standard corpus. J Biomed Inform. 2012 Jun;45(3):460-70. PubMed PMID: 22245601.
- Juckett DA, Davis FN, Gostine M, Reed P, Risko R. Patient-reported outcomes in a large community-based pain medicine practice: evaluation for use in phenotype modeling. BMC Med Inform Decis Mak. 2015 May 28;15:41. PubMed PMID: 26017305; PubMed Central PMCID: PMC4446111.
Complete List of Published Work in NCBI