Recent Publications

Select, recent publications. Engelman Lab members shown in bold. A comprehensive list of Dr. Engelman’s publications can be found on her NCBI Bibliography

  • Xu, Y., Vasiljevic, E., Deming, Y. K., Jonaitis, E. M., Koscik, R. L., van Hulle, C. A., Lu, Q., Carboni, M., Kollmorgen, G., Wild, N., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., & Engelman, C. D. (2023). Effect of Pathway-Specific Polygenic Risk Scores for Alzheimer’s Disease (AD) on Rate of Change in Cognitive Function and AD-Related Biomarkers Among Asymptomatic Individuals. Journal of Alzheimer’s Disease : JAD, 94(4), 1587–1605. https://doi.org/10.3233/JAD-230097
  • Panyard, D. J., Deming, Y. K., Darst, B. F., van Hulle, C. A., Zetterberg, H., Blennow, K., Kollmorgen, G., Suridjan, I., Carlsson, C. M., Johnson, S. C., Asthana, S., Engelman, C. D., & Lu, Q. (2023). Liver-Specific Polygenic Risk Score Is Associated with Alzheimer’s Disease Diagnosis. Journal of Alzheimer’s Disease : JAD, 92(2), 395–409. https://doi.org/10.3233/JAD-220599
  • Panyard, D. J., McKetney, J., Deming, Y. K., Morrow, A. R., Ennis, G. E., Jonaitis, E. M., van Hulle, C. A., Yang, C., Sung, Y. J., Ali, M., Kollmorgen, G., Suridjan, I., Bayfield, A., Bendlin, B. B., Zetterberg, H., Blennow, K., Cruchaga, C., Carlsson, C. M., Johnson, S. C., … Engelman, C. D. (2023). Large-scale proteome and metabolome analysis of CSF implicates altered glucose and carbon metabolism and succinylcarnitine in Alzheimer’s disease. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association. https://doi.org/10.1002/alz.13130
  • Vasiljevic, E., Koscik, R. L., Jonaitis, E., Betthauser, T., Johnson, S. C., & Engelman, C. D. (2023). Cognitive trajectories diverge by genetic risk in a preclinical longitudinal cohort. Alzheimer’s & Dementia : The Journal of the Alzheimer’s Association, 19(7), 3108–3118. https://doi.org/10.1002/alz.12920
  • Deming, Y., Vasiljevic, E., Morrow, A., Miao, J., van Hulle, C., Jonaitis, E., Ma, Y., Whitenack, V., Kollmorgen, G., Wild, N., Suridjan, I., Shaw, L. M., Asthana, S., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Bendlin, B. B., Lu, Q., & Engelman, C. D. (2023). Neuropathology‐based APOE genetic risk score better quantifies Alzheimer’s risk. Alzheimer’s & Dementia, 19(8), 3406–3416. https://doi.org/10.1002/alz.12990
  • Dong, R., Lu, Q., Kang, H., Suridjan, I., Kollmorgen, G., Wild, N., Deming, Y., van Hulle, C. A., Anderson, R. M., Zetterberg, H., Blennow, K., Carlsson, C. M., Asthana, S., Johnson, S. C., & Engelman, C. D. (2023). CSF metabolites associated with biomarkers of Alzheimer’s disease pathology. Frontiers in Aging Neuroscience, 15. https://doi.org/10.3389/fnagi.2023.1214932
  • Morrow, A., Panyard, D. J., Deming, Y. K., Jonaitis, E., Dong, R., Vasiljevic, E., Betthauser, T. J., Kollmorgen, G., Suridjan, I., Bayfield, A., van Hulle, C. A., Zetterberg, H., Blennow, K., Carlsson, C. M., Asthana, S., Johnson, S. C., & Engelman, C. D. (2022). Cerebrospinal Fluid Sphingomyelins in Alzheimer’s Disease, Neurodegeneration, and Neuroinflammation. Journal of Alzheimer’s Disease : JAD, 90(2), 667–680. https://doi.org/10.3233/JAD-220349
  • Dong, R., Denier-Fields, D. N., Lu, Q., Suridjan, I., Kollmorgen, G., Wild, N., Betthauser, T. J., Carlsson, C. M., Asthana, S., Johnson, S. C., Zetterberg, H., Blennow, K., & Engelman, C. D. (2022). Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer’s disease biomarkers. Neurobiology of Aging, 117, 12–23. https://doi.org/10.1016/j.neurobiolaging.2022.04.009
  • Darst, B. F., Huo, Z., Jonaitis, E. M., Koscik, R. L., Clark, L. R., Lu, Q., Kremen, W. S., Franz, C. E., Rana, B., Lyons, M. J., Hogan, K. J., Zhao, J., Johnson, S. C., & Engelman, C. D. (2021). Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer’s Disease. Journal of Alzheimer’s Disease : JAD, 79(3), 1041–1054. https://doi.org/10.3233/JAD-200176
  • Panyard, D. J., Kim, K. M., Darst, B. F., Deming, Y. K., Zhong, X., Wu, Y., Kang, H., Carlsson, C. M., Johnson, S. C., Asthana, S., Engelman, C. D., & Lu, Q. (2021). Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations. Communications Biology, 4(1), 63. https://doi.org/10.1038/s42003-020-01583-z
  • Hatchell, K. E., Lu, Q., Mares, J. A., Michos, E. D., Wood, A. C., & Engelman, C. D. (2020). Multi-ethnic analysis shows genetic risk and environmental predictors interact to influence 25(OH)D concentration and optimal vitamin D intake. Genetic Epidemiology, 44(2), 208–217. https://doi.org/10.1002/gepi.22272
  • Darst, B. F., Koscik, R. L., Hogan, K. J., Johnson, S. C., & Engelman, C. D. (2019). Longitudinal plasma metabolomics of aging and sex. Aging, 11(4), 1262–1282. https://doi.org/10.18632/aging.101837
  • Zuelsdorff, M. L., Koscik, R. L., Okonkwo, O. C., Peppard, P. E., Hermann, B. P., Sager, M. A., Johnson, S. C., & Engelman, C. D. (2019). Social support and verbal interaction are differentially associated with cognitive function in midlife and older age. Neuropsychology, Development, and Cognition. Section B, Aging, Neuropsychology and Cognition, 26(2), 144–160. https://doi.org/10.1080/13825585.2017.1414769
  • Darst, B. F., Lu, Q., Johnson, S. C., & Engelman, C. D. (2019). Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer’s risk factors among 1,111 cohort participants. Genetic Epidemiology, 43(6), 657–674. https://doi.org/10.1002/gepi.22211
  • Hatchell, K. E., Lu, Q., Hebbring, S. J., Michos, E. D., Wood, A. C., & Engelman, C. D. (2019). Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations. Human Genetics, 138(10), 1155–1169. https://doi.org/10.1007/s00439-019-02049-x
  • Zuelsdorff, M. L., Koscik, R. L., Okonkwo, O. C., Peppard, P. E., Hermann, B. P., Sager, M. A., Johnson, S. C., & Engelman, C. D. (2018). Reliability of a Novel Social Activity Questionnaire: Perceived Social Support and Verbal Interaction in the Wisconsin Registry for Alzheimer’s Prevention. Journal of Aging and Health, 30(2), 305–320. https://doi.org/10.1177/0898264316674812
  • Engelman, C. D., Darst, B. F., Bilgel, M., Vasiljevic, E., Koscik, R. L., Jedynak, B. M., & Johnson, S. C. (2018). The effect of rare variants in TREM2 and PLD3 on longitudinal cognitive function in the Wisconsin Registry for Alzheimer’s Prevention. Neurobiology of Aging, 66, 177.e1-177.e5. https://doi.org/10.1016/j.neurobiolaging.2017.12.025
  • Darst, B. F., Malecki, K. C., & Engelman, C. D. (2018). Using recursive feature elimination in random forest to account for correlated variables in high dimensional data. BMC Genetics, 19(Suppl 1), 65. https://doi.org/10.1186/s12863-018-0633-8
  • Darst, B., Engelman, C. D., Tian, Y., & Lorenzo Bermejo, J. (2018). Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20. BMC Genetics, 19(Suppl 1), 76. https://doi.org/10.1186/s12863-018-0646-3