Kastenmüller, Gabi

Plasma proteomic associations with genetics and health in the UK Biobank

Sun, B. B., Chiou, J., Traylor, M., Benner, C., Hsu, Y.-H., Richardson, T. G., Surendran, P., Mahajan, A., Robins, C., Vasquez-Grinnell, S. G., et al. (2023) · Nature

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 1,880

An atlas of genetic influences on human blood metabolites

The Multiple Tissue Human Expression Resource (MuTHER) Consortium, Shin, S.-Y., Fauman, E. B., Petersen, A.-K., Krumsiek, J., Santos, R., Huang, J., Arnold, M., Erte, I., Forgetta, V., et al. (2014) · Nature Genetics

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 1,515

Human metabolic individuality in biomedical and pharmaceutical research

CARDIoGRAM, Suhre, K., Shin, S.-Y., Petersen, A.-K., Mohney, R. P., Meredith, D., Wägele, B., Altmaier, E., Deloukas, P., Erdmann, J., et al. (2011) · Nature

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 1,017

Connecting genetic risk to disease end points through the human blood plasma proteome

Suhre, K., Arnold, M., Bhagwat, A. M., Cotton, R. J., Engelke, R., Raffler, J., Sarwath, H., Thareja, G., Wahl, A., DeLisle, R. K., et al. (2017) · Nature Communications

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 800

Altered bile acid profile associates with cognitive impairment in Alzheimer's disease—An emerging role for gut microbiome

MahmoudianDehkordi, S., Arnold, M., Nho, K., Ahmad, S., Jia, W., Xie, G., Louie, G., Kueider‐Paisley, A., Moseley, M. A., Thompson, J. W., et al. (2019) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchGut microbiota and health

Cited by 706

Mapping the proteo-genomic convergence of human diseases

Pietzner, M., Wheeler, E., Carrasco-Zanini, J., Cortes, A., Koprulu, M., Wörheide, M. A., Oerton, E., Cook, J., Stewart, I. D., Kerrison, N. D., et al. (2021) · Science

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 657

A genome-wide perspective of genetic variation in human metabolism

Illig, T., Gieger, C., Zhai, G., Römisch-Margl, W., Wang-Sattler, R., Prehn, C., Altmaier, E., Kastenmüller, G., Kato, B. S., Mewes, H.-W., et al. (2010) · Nature Genetics

Genetic Associations and EpidemiologyMetabolomics and Mass Spectrometry Studies

Cited by 653

Metabolomics enables precision medicine: “A White Paper, Community Perspective”

for “Precision Medicine and Pharmacometabolomics Task Group”-Metabolomics Society Initiative, Beger, R. D., Dunn, W., Schmidt, M. A., Gross, S. S., Kirwan, J. A., Cascante, M., Brennan, L., Wishart, D. S., Oresic, M., et al. (2016) · Metabolomics

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 592

Genetic diagnosis of Mendelian disorders via RNA sequencing

Kremer, L. S., Bader, D. M., Mertes, C., Kopajtich, R., Pichler, G., Iuso, A., Haack, T. B., Graf, E., Schwarzmayr, T., Terrile, C., et al. (2017) · Nature Communications

Genomics and Rare DiseasesMitochondrial Function and Pathology

Cited by 590

Biomarkers for Type 2 Diabetes and Impaired Fasting Glucose Using a Nontargeted Metabolomics Approach

Menni, C., Fauman, E., Erte, I., Perry, J. R. B., Kastenmüller, G., Shin, S.-Y., Petersen, A.-K., Hyde, C., Psatha, M., Ward, K. J., et al. (2013) · Diabetes

Metabolomics and Mass Spectrometry StudiesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 416

A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals

Deelen, J., Kettunen, J., Fischer, K., van der Spek, A., Trompet, S., Kastenmüller, G., Boyd, A., Zierer, J., van den Akker, E. B., Ala-Korpela, M., et al. (2019) · Nature Communications

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 362

Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers

Nho, K., Kueider‐Paisley, A., MahmoudianDehkordi, S., Arnold, M., Risacher, S. L., Louie, G., Blach, C., Baillie, R., Han, X., Kastenmüller, G., et al. (2019) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 343

The dynamic range of the human metabolome revealed by challenges

Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Römisch‐Margl, W., Adamski, J., Prehn, C., et al. (2012) · The FASEB Journal

Metabolomics and Mass Spectrometry StudiesHealth, Environment, Cognitive Aging

Cited by 327

Association of Altered Liver Enzymes With Alzheimer Disease Diagnosis, Cognition, Neuroimaging Measures, and Cerebrospinal Fluid Biomarkers

Nho, K., Kueider-Paisley, A., Ahmad, S., MahmoudianDehkordi, S., Arnold, M., Risacher, S. L., Louie, G., Blach, C., Baillie, R., Han, X., et al. (2019) · JAMA Network Open

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 227

A metabolome-wide association study of kidney function and disease in the general population

Sekula, P., Goek, O.-N., Quaye, L., Barrios, C., Levey, A. S., Römisch-Margl, W., Menni, C., Yet, I., Gieger, C., Inker, L. A., et al. (2016) · Journal of the American Society of Nephrology

Metabolomics and Mass Spectrometry StudiesChronic Kidney Disease and Diabetes

Cited by 203

Sex and APOE ε4 genotype modify the Alzheimer’s disease serum metabolome

Arnold, M., Nho, K., Kueider-Paisley, A., Massaro, T., Huynh, K., Brauner, B., MahmoudianDehkordi, S., Louie, G., Moseley, M. A., Thompson, J. W., et al. (2020) · Nature Communications

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 202

Mining the Unknown: A Systems Approach to Metabolite Identification Combining Genetic and Metabolic Information

Krumsiek, J., Suhre, K., Evans, A. M., Mitchell, M. W., Mohney, R. P., Milburn, M. V., Wägele, B., Römisch-Margl, W., Illig, T., Adamski, J., et al. (2012) · PLoS Genetics

Metabolomics and Mass Spectrometry StudiesBioinformatics and Genomic Networks

Cited by 197

Epigenetics meets metabolomics: an epigenome-wide association study with blood serum metabolic traits

Petersen, A.-K., Zeilinger, S., Kastenmüller, G., Römisch-Margl, W., Brugger, M., Peters, A., Meisinger, C., Strauch, K., Hengstenberg, C., Pagel, P., et al. (2014) · Human Molecular Genetics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 183

Integrative metabolomics‐genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease

Horgusluoglu, E., Neff, R., Song, W., Wang, M., Wang, Q., Arnold, M., Krumsiek, J., Galindo‐Prieto, B., Ming, C., Nho, K., et al. (2022) · Alzheimer's & Dementia

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 175

Metabolomic and inflammatory signatures of symptom dimensions in major depression

Brydges, C. R., Bhattacharyya, S., Dehkordi, S. M., Milaneschi, Y., Penninx, B., Jansen, R., Kristal, B. S., Han, X., Arnold, M., Kastenmüller, G., et al. (2022) · Brain, Behavior, and Immunity

Tryptophan and brain disordersTreatment of Major Depression

Cited by 108

Alterations in Acylcarnitines, Amines, and Lipids Inform about the Mechanism of Action of Citalopram/Escitalopram in Major Depression

MahmoudianDehkordi, S., Ahmed, A. T., Bhattacharyya, S., Han, X., Baillie, R. A., Arnold, M., Skime, M. K., John-Williams, L. S., Moseley, M. A., Thompson, J. W., et al. (2021) · Translational Psychiatry

Treatment of Major DepressionMetabolomics and Mass Spectrometry Studies

Cited by 95

Questionnaire-based self-reported nutrition habits associate with serum metabolism as revealed by quantitative targeted metabolomics

Altmaier, E., Kastenmüller, G., Römisch-Margl, W., Thorand, B., Weinberger, K. M., Illig, T., Adamski, J., Döring, A., & Suhre, K. (2011) · European Journal of Epidemiology

Metabolomics and Mass Spectrometry StudiesNutritional Studies and Diet

Cited by 84

Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues

Adam, J., Brandmaier, S., Leonhardt, J., Scheerer, M. F., Mohney, R. P., Xu, T., Bi, J., Rotter, M., Troll, M., Chi, S., et al. (2016) · Diabetes

Metabolism, Diabetes, and CancerMetabolomics and Mass Spectrometry Studies

Cited by 68

Exploring the molecular basis of age-related disease comorbidities using a multi-omics graphical model

Zierer, J., Pallister, T., Tsai, P.-C., Krumsiek, J., Bell, J. T., Lauc, G., Spector, T. D., Menni, C., & Kastenmüller, G. (2016) · Scientific Reports

Bioinformatics and Genomic NetworksGenetics, Aging, and Longevity in Model Organisms

Cited by 63