The Engelman Lab
Genomic Epidemiology

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

  • Rocha, B., Jonaitis, E., Hamwi, A., and Engelman, C.D. (2025). Longitudinal, intra-individual stability of untargeted plasma and cerebrospinal fluid metabolites. Metabolites. 10.3390/metabo16010035.
  • Xu, Y., Qiao, M., Gunasekaran, T.I., Gu, Y., Reyes-Dumeyer, D., Piriz, A., Sanchez, D., Soriano, B., Franco, Y., Coronado, Z.D., Recio, P., Mejia, D.R., Medrano, M., Lantigua, R.A., Honig, L., Wilson, R., Manly, J.J., Brickman, A.M., Engelman, C.D., Johnson, S., Asthana, S., Vardarajan, B., and Mayeux, R. (2025). Polygenic scores of Core 1 Alzheimer’s disease biomarkers predict early cognitive and pathological change. Alzheimers Dement 21, e70937. 10.1002/alz.70937.
  • Panyard, D.J., Reus, L.M., Ali, M., Liu, J., Deming, Y.K., Lu, Q., Kollmorgen, G., Carboni, M., Wild, N., Visser, P.J., Bertram, L., Zetterberg, H., Blennow, K., Gobom, J., Western, D., Sung, Y.J., Carlsson, C.M., Johnson, S.C., Asthana, S., Cruchaga, C., Tijms, B.M., Engelman, C.D., and Snyder, M.P. (2024). Post-GWAS multiomic functional investigation of the TNIP1 locus in Alzheimer’s disease highlights a potential role for GPX3. Alzheimers Dement 20, 5044-5053. 10.1002/alz.13848.
  • Xu, Y., Sun, Z., Jonaitis, E., Deming, Y., Lu, Q., Johnson, S.C., and Engelman, C.D. (2024). Apolipoprotein E moderates the association between non-APOE polygenic risk score for Alzheimer’s disease and aging on preclinical cognitive function. Alzheimers Dement 20, 1063-1075. 10.1002/alz.13515.
  • Choi, J.J., Koscik, R.L., Jonaitis, E.M., Panyard, D.J., Morrow, A.R., Johnson, S.C., Engelman, C.D., and Schmitz, L.L. (2023). Assessing the Biological Mechanisms Linking Smoking Behavior and Cognitive Function: A Mediation Analysis of Untargeted Metabolomics. Metabolites 13. 10.3390/metabo13111154.
  • 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., and Engelman, C.D. (2023). Neuropathology-based APOE genetic risk score better quantifies Alzheimer’s risk. Alzheimers Dement 19, 3406-3416. 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., and Engelman, C.D. (2023). CSF metabolites associated with biomarkers of Alzheimer’s disease pathology. Front Aging Neurosci 15, 1214932. 10.3389/fnagi.2023.1214932.
  • 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., and Lu, Q. (2023). Liver-Specific Polygenic Risk Score Is Associated with Alzheimer’s Disease Diagnosis. J Alzheimers Dis 92, 395-409. 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., Asthana, S., Coon, J.J., and Engelman, C.D. (2023). Large-scale proteome and metabolome analysis of CSF implicates altered glucose and carbon metabolism and succinylcarnitine in Alzheimer’s disease. Alzheimers Dement 19, 5447-5470. 10.1002/alz.13130.
  • Vasiljevic, E., Koscik, R.L., Jonaitis, E., Betthauser, T., Johnson, S.C., and Engelman, C.D. (2023). Cognitive trajectories diverge by genetic risk in a preclinical longitudinal cohort. Alzheimers Dement 19, 3108-3118. 10.1002/alz.12920.
  • 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., and 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. J Alzheimers Dis 94, 1587-1605. 10.3233/jad-230097.
  • 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., and Engelman, C.D. (2022). Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer’s disease biomarkers. Neurobiol Aging 117, 12-23. 10.1016/j.neurobiolaging.2022.04.009.
  • 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., and Engelman, C.D. (2022). Cerebrospinal Fluid Sphingomyelins in Alzheimer’s Disease, Neurodegeneration, and Neuroinflammation. J Alzheimers Dis 90, 667-680. 10.3233/jad-220349.
  • 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., and Engelman, C.D. (2021). Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer’s Disease. J Alzheimers Dis 79, 1041-1054. 10.3233/jad-200176.
  • Dong, R., Darst, B.F., Deming, Y., Ma, Y., Lu, Q., Zetterberg, H., Blennow, K., Carlsson, C.M., Johnson, S.C., Asthana, S., and Engelman, C.D. (2021). CSF metabolites associate with CSF tau and improve prediction of Alzheimer’s disease status. Alzheimers Dement (Amst) 13, e12167. 10.1002/dad2.12167.
  • 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., and Lu, Q. (2021). Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations. Commun Biol 4, 63. 10.1038/s42003-020-01583-z.
  • Darst, B.F., Koscik, R.L., Hogan, K.J., Johnson, S.C., and Engelman, C.D. (2019). Longitudinal plasma metabolomics of aging and sex. Aging (Albany NY) 11, 1262-1282. 10.18632/aging.101837.
  • Darst, B.F., Lu, Q., Johnson, S.C., and Engelman, C.D. (2019). Integrated analysis of genomics, longitudinal metabolomics, and Alzheimer’s risk factors among 1,111 cohort participants. Genet Epidemiol 43, 657-674. 10.1002/gepi.22211.
  • Hatchell, K.E., Lu, Q., Hebbring, S.J., Michos, E.D., Wood, A.C., and Engelman, C.D. (2019). Ancestry-specific polygenic scores and SNP heritability of 25(OH)D in African- and European-ancestry populations. Hum Genet 138, 1155-1169. 10.1007/s00439-019-02049-x.
  • Vasiljevic, E., Ye, Z., Pavelec, D.M., Darst, B.F., Engelman, C.D., and Baker, M.W. (2019). Carrier frequency estimation of Zellweger spectrum disorder using ExAC database and bioinformatics tools. Genet Med 21, 1969-1976. 10.1038/s41436-019-0468-3.