Metabolomic and inflammatory signatures of symptom dimensions in major depression
Open accessPublished version of a preprint
Abstract
Background Major depressive disorder (MDD) is a highly heterogenous disease, both in terms of clinical profiles and pathobiological alterations. Recently, immunometabolic dysregulations were shown to be correlated with atypical, energy-related symptoms but less so with the Melancholic or Anxious distress symptom dimensions of depression in The Netherlands Study of Depression and Anxiety (NESDA) study. In this study, we aimed to replicate these immunometabolic associations and to characterize the metabolomic correlates of each of the three MDD dimensions.Methods Using three clinical rating scales, Melancholic, and Anxious distress, and Immunometabolic (IMD) dimensions were characterized in 158 patients who participated in the Predictors of Remission to Individual and Combined Treatments (PReDICT) study and from whom plasma and serum samples were available. The NESDA-defined inflammatory index, a composite measure of interleukin-6 and C-reactive protein, was measured from pre-treatment plasma samples and a metabolomic profile was defined using serum samples analyzed on three metabolomics platforms targeting fatty acids and complex lipids, amino acids, acylcarnitines, and gut microbiome-derived metabolites among other metabolites of central metabolism.Results The IMD clinical dimension and the inflammatory index were positively correlated (r = 0.19, p = 0.019) after controlling for age, sex, and body mass index, whereas the Melancholic and Anxious distress dimensions were not, replicating the previous NESDA findings. The three symptom dimensions had distinct metabolomic signatures using both univariate and set enrichment statistics. IMD severity correlated mainly with gut-derived metabolites and a few acylcarnitines and long chain saturated free fatty acids. Melancholia severity was significantly correlated with several phosphatidylcholines, primarily the ether-linked variety, lysophosphatidylcholines, as well as several amino acids. Anxious distress severity correlated with several medium and long chain free fatty acids, both saturated and polyunsaturated ones, sphingomyelins, as well as several amino acids and bile acids.Conclusion The IMD dimension of depression appears reliably associated with markers of inflammation. Metabolomics provides powerful tools to inform about depression heterogeneity and molecular mechanisms related to clinical dimensions in MDD, which include a link to gut microbiome and lipids implicated in membrane structure and function.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
1 retracted
Singh, H., Wray, N. H., Schappi, J. M., & Rasenick, M. M. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0016-x · Cited by 33 · see citing works
RetractedHamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817 · see citing works
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391 · see citing works
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407 · see citing works
The assessment of anxiety states by rating
HAMILTON, M. (1959) · British Journal of Medical Psychology · doi:10.1111/j.2044-8341.1959.tb00467.x · Cited by 11,455 · see citing works
Molecular Mechanisms of Depression: Perspectives on New Treatment Strategies
Lang, U. E., & Borgwardt, S. (2013) · Cellular Physiology and Biochemistry · doi:10.1159/000350094 · Cited by 8,501 · see citing works
From inflammation to sickness and depression: when the immune system subjugates the brain
Dantzer, R., O'Connor, J. C., Freund, G. G., Johnson, R. W., & Kelley, K. W. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2297 · Cited by 7,395 · see citing works
A Meta-Analysis of Cytokines in Major Depression
Dowlati, Y., Herrmann, N., Swardfager, W., Liu, H., Sham, L., Reim, E. K., & Lanctôt, K. L. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.09.033 · Cited by 4,729 · see citing works
Rush, A. J., Trivedi, M. H., Ibrahim, H. M., Carmody, T. J., Arnow, B., Klein, D. N., Markowitz, J. C., Ninan, P. T., Kornstein, S., Manber, R., et al. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01866-8 · Cited by 3,829 · see citing works
Self-citationInflammatory Mechanisms in Obesity
Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754 · see citing works
Gut Microbiota Regulation of Tryptophan Metabolism in Health and Disease
Agus, A., Planchais, J., & Sokol, H. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.05.003 · Cited by 3,180 · see citing works
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490 · see citing works
Otte, C., Gold, S. M., Penninx, B. W., Pariante, C. M., Etkin, A., Fava, M., Mohr, D. C., & Schatzberg, A. F. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.65 · Cited by 2,269 · see citing works
Self-citationThe Inventory of Depressive Symptomatology (IDS): Psychometric properties
Rush, A. J., Gullion, C. M., Basco, M. R., Jarrett, R. B., & Trivedi, M. H. (1996) · Psychological Medicine · doi:10.1017/s0033291700035558 · Cited by 2,177 · see citing works
Self-citationRaison, C. L., Rutherford, R. E., Woolwine, B. J., Shuo, C., Schettler, P., Drake, D. F., Haroon, E., & Miller, A. H. (2013) · JAMA Psychiatry · doi:10.1001/2013.jamapsychiatry.4 · Cited by 1,617 · see citing works
Diversity of group types, regulation, and function of phospholipase A2.
Dennis, E. A. (1994) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)36794-7 · Cited by 1,435 · see citing works
Impact of the Gut Microbiota on Intestinal Immunity Mediated by Tryptophan Metabolism
Gao, J., Xu, K., Liu, H., Liu, G., Bai, M., Peng, C., Li, T., & Yin, Y. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00013 · Cited by 1,313 · see citing works
The Opposing Effects of N-3 and n-6 Fatty Acids
Schmitz, G., & Ecker, J. (2008) · Progress in Lipid Research · doi:10.1016/j.plipres.2007.12.004 · Cited by 1,245 · see citing works
Maier, W., Buller, R., Philipp, M., & Heuser, I. (1988) · Journal of Affective Disorders · doi:10.1016/0165-0327(88)90072-9 · Cited by 1,044 · see citing works
Fried, E. I., & Nesse, R. M. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.010 · Cited by 1,043 · see citing works
Linking lipids to Alzheimer's disease: cholesterol and beyond
Di Paolo, G., & Kim, T.-W. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3012 · Cited by 972 · see citing works
Metabolomics by Gas Chromatography–Mass Spectrometry: Combined Targeted and Untargeted Profiling
Fiehn, O. (2016) · Current Protocols in Molecular Biology · doi:10.1002/0471142727.mb3004s114 · Cited by 917 · see citing works
Self-citationBansal, T., Alaniz, R. C., Wood, T. K., & Jayaraman, A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906112107 · Cited by 868 · see citing works
Inflammation: Depression Fans the Flames and Feasts on the Heat
Kiecolt-Glaser, J. K., Derry, H. M., & Fagundes, C. P. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15020152 · Cited by 844 · see citing works
How (and why) the immune system makes us sleep
Imeri, L., & Opp, M. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2576 · Cited by 710 · see citing works
Structural and functional roles of ether lipids
Dean, J. M., & Lodhi, I. J. (2017) · Protein & Cell · doi:10.1007/s13238-017-0423-5 · Cited by 682 · see citing works
Quality control for plant metabolomics: reporting MSI‐compliant studies
Fiehn, O., Wohlgemuth, G., Scholz, M., Kind, T., Lee, D. Y., Lü, Y., Moon, S. M., & Nikolau, B. J. (2008) · The Plant Journal · doi:10.1111/j.1365-313x.2007.03387.x · Cited by 676 · see citing works
Self-citationObesity and C ‐reactive protein in various populations: a systematic review and meta‐analysis
Choi, J., Joseph, L., & Pilote, L. (2012) · Obesity Reviews · doi:10.1111/obr.12003 · Cited by 657 · see citing works
Indole and Tryptophan Metabolism: Endogenous and Dietary Routes to Ah Receptor Activation
Hubbard, T. D., Murray, I. A., & Perdew, G. H. (2015) · Drug Metabolism and Disposition · doi:10.1124/dmd.115.064246 · Cited by 646 · see citing works
Felger, J. C., Li, Z., Haroon, E., Woolwine, B. J., Jung, M. Y., Hu, X., & Miller, A. H. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.168 · Cited by 620 · see citing works
Depression and cardiovascular disease: Epidemiological evidence on their linking mechanisms
Penninx, B. W. J. H. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.07.003 · Cited by 576 · see citing works
Self-citationIdentifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics
Lai, Z., Tsugawa, H., Wohlgemuth, G., Mehta, S. S., Mueller, M. R., Zheng, Y., Ogiwara, A., Meissen, J. K., Showalter, M. R., Takeuchi, K., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4512 · Cited by 564 · see citing works
Self-citationO’Connor, J. C., André, C., Wang, Y., Lawson, M. A., Szegedi, S. S., Lestage, J., Castanon, N., Kelley, K. W., & Dantzer, R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5032-08.2009 · Cited by 498 · see citing works
Edwards, R. (1998) · Journal of Affective Disorders · doi:10.1016/s0165-0327(97)00166-3 · Cited by 470 · see citing works
Depression Heterogeneity and Its Biological Underpinnings: Toward Immunometabolic Depression
Milaneschi, Y., Lamers, F., Berk, M., & Penninx, B. W. J. H. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2020.01.014 · Cited by 433 · see citing works
Self-citationMetabolomics technology and bioinformatics
Shulaev, V. (2006) · Briefings in Bioinformatics · doi:10.1093/bib/bbl012 · Cited by 409 · see citing works
Efficacy of omega-3 PUFAs in depression: A meta-analysis
Liao, Y., Xie, B., Zhang, H., He, Q., Guo, L., Subramanieapillai, M., Fan, B., Lu, C., & McIntyre, R. S. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0515-5 · Cited by 404 · see citing works
Serum Metabolite Profiling of Human Colorectal Cancer Using GC−TOFMS and UPLC−QTOFMS
Qiu, Y., Cai, G., Su, M., Chen, T., Zheng, X., Xu, Y., Ni, Y., Zhao, A., Xu, L. X., Cai, S., et al. (2009) · Journal of Proteome Research · doi:10.1021/pr9004162 · Cited by 395 · see citing works
Milaneschi, Y., Kappelmann, N., Ye, Z., Lamers, F., Moser, S., Jones, P. B., Burgess, S., Penninx, B. W. J. H., & Khandaker, G. M. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01188-w · Cited by 371 · see citing works
Self-citationRaison, C. L., Borisov, A. S., Majer, M., Drake, D. F., Pagnoni, G., Woolwine, B. J., Vogt, G. J., Massung, B., & Miller, A. H. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2008.08.010 · Cited by 367 · see citing works
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data
Fan, S., Kind, T., Čajka, T., Hazen, S. L., Tang, W. H. W., Kaddurah-Daouk, R. F., Irvin, M. R., Arnett, D. K., Barupal, D. K., & Fiehn, O. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.8b05592 · Cited by 340 · see citing works
Self-citationBarupal, D. K., & Fiehn, O. (2017) · Scientific Reports · doi:10.1038/s41598-017-15231-w · Cited by 338 · see citing works
Self-citationThe heterogeneity of “major depression”
GOLDBERG, D. (2011) · World Psychiatry · doi:10.1002/j.2051-5545.2011.tb00061.x · Cited by 335 · see citing works
Ehrlich, A. M., Pacheco, A. R., Henrick, B. M., Taft, D. H., Xu, G., Huda, M. N., Mishchuk, D. O., Goodson, M. L., Slupsky, C. M., Barile, D., et al. (2020) · BMC Microbiology · doi:10.1186/s12866-020-02023-y · Cited by 314 · see citing works
Aronson, D., Bartha, P., Zinder, O., Kerner, A., Markiewicz, W., Avizohar, O., Brook, G. J., & Levy, Y. (2004) · International Journal of Obesity · doi:10.1038/sj.ijo.0802609 · Cited by 310 · see citing works
Brain membrane lipids in major depression and anxiety disorders
Müller, C. P., Reichel, M., Mühle, C., Rhein, C., Gulbins, E., & Kornhuber, J. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2014.12.014 · Cited by 308 · see citing works
Haroon, E., Daguanno, A. W., Woolwine, B. J., Goldsmith, D. R., Baer, W. M., Wommack, E. C., Felger, J. C., & Miller, A. H. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.05.026 · Cited by 291 · see citing works
Köhler-Forsberg, O., Buttenschøn, H. N., Tansey, K. E., Maier, W., Hauser, J., Dernovsek, M. Z., Henigsberg, N., Souery, D., Farmer, A., Rietschel, M., et al. (2017) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2017.02.020 · Cited by 283 · see citing works
Kappelmann, N., Arloth, J., Georgakis, M. K., Czamara, D., Rost, N., Ligthart, S., Khandaker, G. M., & Binder, E. B. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3436 · Cited by 262 · see citing works
Milaneschi, Y., Lamers, F., Peyrot, W. J., Baune, B. T., Breen, G., Dehghan, A., Forstner, A. J., Grabe, H. J., Homuth, G., Kan, C., et al. (2017) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2017.3016 · Cited by 233 · see citing works
Lamers, F., Milaneschi, Y., Smit, J. H., Schoevers, R. A., Wittenberg, G. M., & Penninx, B. W. J. H. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.12.020 · Cited by 219 · see citing works
Self-citationPlasmalogens: A potential therapeutic target for neurodegenerative and cardiometabolic disease
Paul, S., Lancaster, G. I., & Meikle, P. J. (2019) · Progress in Lipid Research · doi:10.1016/j.plipres.2019.04.003 · Cited by 213 · see citing works
The gut microbiota metabolite indole alleviates liver inflammation in mice
Beaumont, M., Neyrinck, A. M., Olivares, M., Rodriguez, J., Nédélec, A., Roumain, M., Bindels, L. B., Cani, P. D., Evenepoel, P., Muccioli, G. G., et al. (2018) · The FASEB Journal · doi:10.1096/fj.201800544 · Cited by 208 · see citing works
Metabolic and inflammatory markers: associations with individual depressive symptoms
Lamers, F., Milaneschi, Y., de Jonge, P., Giltay, E. J., & Penninx, B. W. J. H. (2017) · Psychological Medicine · doi:10.1017/s0033291717002483 · Cited by 197 · see citing works
Self-citationFava, M., Rush, A. J., Alpert, J. E., Carmin, C. N., Balasubramani, G., Wisniewski, S. R., Trivedi, M. H., Biggs, M. M., & Shores-Wilson, K. (2006) · The Canadian Journal of Psychiatry · doi:10.1177/070674370605101304 · Cited by 183 · see citing works
Self-citationRaison, C. L., Borisov, A. S., Woolwine, B. J., Massung, B., Vogt, G., & Miller, A. H. (2010) · Molecular Psychiatry · doi:10.1038/mp.2008.58 · Cited by 183 · see citing works
Polygenic dissection of major depression clinical heterogeneity
Milaneschi, Y., Lamers, F., Peyrot, W. J., Abdellaoui, A., Willemsen, G. A. H. M., Hottenga, J., Jansen, R., Mbarek, H., Dehghan, A., Lu, C., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.86 · Cited by 183 · see citing works
Self-citationAppetite changes reveal depression subgroups with distinct endocrine, metabolic, and immune states
Simmons, W. K., Burrows, K., Avery, J. A., Kerr, K. L., Taylor, A. A., Bodurka, J., Potter, W. T., Teague, T. K., & Drevets, W. C. (2018) · Molecular Psychiatry · doi:10.1038/s41380-018-0093-6 · Cited by 183 · see citing works
Role of Adiposity-Driven Inflammation in Depressive Morbidity
Capuron, L., Lasselin, J., & Castanon, N. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2016.123 · Cited by 182 · see citing works
Jennis, M., Cavanaugh, C., Leo, G. C., Mabus, J. R., Lenhard, J. M., & Hornby, P. J. (2017) · Neurogastroenterology & Motility · doi:10.1111/nmo.13178 · Cited by 172 · see citing works
Plasmalogens and Alzheimer’s disease: A review
Su, X. Q., Wang, J., & Sinclair, A. J. (2019) · Lipids in Health and Disease · doi:10.1186/s12944-019-1044-1 · Cited by 172 · see citing works
Profiling of Serum Bile Acids in a Healthy Chinese Population Using UPLC–MS/MS
Xie, G., Wang, Y., Wang, X., Zhao, A., Chen, T., Ni, Y., Wong, L. L., Zhang, H., Zhang, J., Liu, C., et al. (2015) · Journal of Proteome Research · doi:10.1021/pr500920q · Cited by 162 · see citing works
Chen, L.-S., Eaton, W. W., Gallo, J. J., & Nestadt, G. (2000) · Journal of Affective Disorders · doi:10.1016/s0165-0327(99)00132-9 · Cited by 149 · see citing works
Howland, R. H., Rush, A. J., Wisniewski, S. R., Trivedi, M. H., Warden, D., D, M. F. M., Davis, L. L., Balasubramani, G. K., McGrath, P. J., & Berman, S. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.08.010 · Cited by 144 · see citing works
Self-citationDunlop, B. W., Kelley, M. E., Aponte‐Rivera, V., Mletzko, T., Kinkead, B. L., Ritchie, J., Nemeroff, C. B., Craighead, W. E., Mayberg, H. S., & for the PReDICT Team (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.16050517 · Cited by 140 · see citing works
Self-citationDepression profilers and immuno-metabolic dysregulation: longitudinal results from the NESDA study.
Lamers, F., Milaneschi, Y., Vinkers, C., Schoevers, R., Giltay, E., & Penninx, B. (2020) · Brain, behavior, and immunity · doi:10.1016/j.bbi.2020.04.002 · Cited by 139 · see citing works
Self-citationDorninger, F., Forss‐Petter, S., Wimmer, I., & Berger, J. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.105061 · Cited by 139 · see citing works
Dunlop, B. W., Binder, E. B., Cubells, J. F., Goodman, M. M., Kelley, M. E., Kinkead, B., Kutner, M., Nemeroff, C. B., Newport, D. J., Owens, M. J., et al. (2012) · Trials · doi:10.1186/1745-6215-13-106 · Cited by 136 · see citing works
Self-citationLipid rafts, synaptic transmission and plasticity: Impact in age-related neurodegenerative diseases
Sebastião, A. M., Colino-Oliveira, M., Assaife‐Lopes, N., Dias, R. B., & Ribeiro, J. A. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.06.053 · Cited by 128 · see citing works
The role of lipid biomarkers in major depression
Parekh, A., Smeeth, D., Milner, Y., & Thuret, S. (2017) · Healthcare · doi:10.3390/healthcare5010005 · Cited by 120 · see citing works
Biochemical markers subtyping major depressive disorder
Kunugi, H., Hori, H., & Ogawa, S. (2015) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12299 · Cited by 115 · see citing works
Effects of Carnitine on Fatty-Acid Oxidation by Muscle
Fritz, I. B., & McEwen, B. (1959) · Science · doi:10.1126/science.129.3345.334 · Cited by 105 · see citing works
McGrath, P. J., Khan, A. Y., Trivedi, M. H., Stewart, J. W., Morris, D. W., Wisniewski, S. R., Miyahara, S., Nierenberg, A. A., D, M. F. M., & Rush, A. J. (2008) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.v69n1201 · Cited by 105 · see citing works
Self-citationPharmacometabolomic mapping of early biochemical changes induced by sertraline and placebo
Kaddurah-Daouk, R. F., Bogdanov, M. B., Wikoff, W. R., Zhu, H., Boyle, S. H., Churchill, E., Wang, Z., Rush, A. J., Krishnan, R. R., Pickering, E. H., et al. (2013) · Translational Psychiatry · doi:10.1038/tp.2012.142 · Cited by 101 · see citing works
Self-citationBrydges, C. R., Fiehn, O., Mayberg, H. S., Schreiber, H. L., Dehkordi, S. M., Bhattacharyya, S., Cha, J., Choi, K. S., Craighead, W. E., Krishnan, R. R., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-99845-1 · Cited by 100 · see citing works
Self-citationMahmoudianDehkordi, 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 · doi:10.1038/s41398-020-01097-6 · Cited by 95 · see citing works
Self-citationGaspersz, R., Lamers, F., Kent, J. M., Beekman, A. T. F., Smit, J. H., van Hemert, A. M., Schoevers, R. A., & Penninx, B. W. J. H. (2017) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.15m10221 · Cited by 88 · see citing works
Self-citationGili, M., Roca, M., Armengol, S., Asensio, D., García‐Campayo, J., & Parker, G. B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048200 · Cited by 84 · see citing works
Donati, R. J., Dwivedi, Y., Roberts, R. C., Conley, R. R., Pandey, G. N., & Rasenick, M. M. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.5713-07.2008 · Cited by 84 · see citing works
Allen, J., Yu, J. Z., Davé, R. H., Bhatnagar, A., Roth, B. L., & Rasenick, M. M. (2009) · Molecular Pharmacology · doi:10.1124/mol.109.060160 · Cited by 83 · see citing works
Park, S., Kim, J., Jun, T., Lee, M., Kim, J.-B., Yim, H. W., & Park, Y. C. (2016) · Nordic Journal of Psychiatry · doi:10.1080/08039488.2016.1265584 · Cited by 81 · see citing works
Liu, D., Ray, B., Neavin, D. R., Zhang, J., Athreya, A. P., Biernacka, J. M., Bobo, W. V., Hall‐Flavin, D. K., Skime, M. K., Zhu, H., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-017-0056-8 · Cited by 79 · see citing works
Self-citationMetabolomic signature of exposure and response to citalopram/escitalopram in depressed outpatients
Bhattacharyya, S., Ahmed, A. T., Arnold, M., Liu, D., Luo, C., Zhu, H., MahmoudianDehkordi, S., Neavin, D. R., Louie, G., Dunlop, B. W., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0507-5 · Cited by 78 · see citing works
Self-citationEpigenetic changes associated with inflammation in breast cancer patients treated with chemotherapy
Smith, A. K., Conneely, K., Pace, T., Mister, D., Felger, J., Kilaru, V., Akel, M. J., Vertino, P., Miller, A. H., & Torres, M. (2014) · Brain, behavior, and immunity · doi:10.1016/j.bbi.2014.02.010 · Cited by 75 · see citing works
Le, N., Innis‐Whitehouse, W., Li, X., Bakker-Arkema, R. G., Black, D. M., & Brown, W. V. (2000) · Metabolism · doi:10.1016/s0026-0495(00)91169-7 · Cited by 74 · see citing works
Mehta, D., Raison, C. L., Woolwine, B. J., Haroon, E., Binder, E. B., Miller, A. H., & Felger, J. C. (2013) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2013.04.004 · Cited by 74 · see citing works
Badini, I., Coleman, J. R. I., Hagenaars, S. P., Hotopf, M. H., Breen, G. D., Lewis, C. M., & Fabbri, C. (2020) · Psychological Medicine · doi:10.1017/s0033291720002342 · Cited by 74 · see citing works
The Origin of Our Modern Concept of Depression—The History of Melancholia From 1780-1880: A Review
Kendler, K. S. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.4709 · Cited by 65 · see citing works
Bekhbat, M., Chu, K., Le, N., Woolwine, B. J., Haroon, E., Miller, A. H., & Felger, J. C. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.09.004 · Cited by 64 · see citing works
Self-citationValidity of the DSM-5 anxious distress specifier for major depressive disorder
Zimmerman, M. A., Martin, J. A., McGonigal, P. T., Harris, L. M., Kerr, S., Balling, C. E., Kiefer, R., Stanton, K. J., & Dalrymple, K. L. (2018) · Depression and Anxiety · doi:10.1002/da.22837 · Cited by 61 · see citing works
Acylcarnitine metabolomic profiles inform clinically-defined major depressive phenotypes
Ahmed, A. T., MahmoudianDehkordi, S., Bhattacharyya, S., Arnold, M., Liu, D., Neavin, D. R., Moseley, M. A., Thompson, J. W., Williams, L. S. J., Louie, G., et al. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.11.122 · Cited by 59 · see citing works
Self-citationDecreased serum L-arginine and L-citrulline levels in major depression
HESS, S. P., Baker, G. B., Gyenes, G., Tsuyuki, R. T., Newman, S. C., & Mellédo, J. L. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4712-8 · Cited by 48 · see citing works
Serum Metabolomic Biomarkers of Dementia
Mousavi, M. T., Jonsson, P., Antti, H., Adolfsson, R., Nordin, A., Bergdahl, J., Eriksson, K., Möritz, T., Nilsson, L., & Nyberg, L. H. (2014) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000364816 · Cited by 46 · see citing works
Goldsmith, D. R., Bekhbat, M., Le, N., Chen, X., Woolwine, B. J., Li, Z., Haroon, E., & Felger, J. C. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.05.013 · Cited by 46 · see citing works
Self-citationMetabolomic biosignature differentiates melancholic depressive patients from healthy controls
Liu, Y., Yieh, L., Yang, T., Drinkenburg, W. H. I. M., Peeters, P. J., Steckler, T., Narayan, V. A., Wittenberg, G. M., & Ye, J. (2016) · BMC Genomics · doi:10.1186/s12864-016-2953-2 · Cited by 45 · see citing works
Alshehri, T., Boone, S. C., de Mutsert, R., Penninx, B. W. J. H., Rosendaal, F. R., le Cessie, S., Milaneschi, Y., & Mook-Kanamori, D. O. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2019.104429 · Cited by 44 · see citing works
Self-citationShinka, T., Inoue, Y., Ohse, M., et al. (2002) · Journal of Chromatography B · doi:10.1016/s1570-0232(02)00126-5 · Cited by 40 · see citing works
Lefèvre‐Arbogast, S., Hejblum, B. P., Helmer, C., Klose, C. D., Manach, C., Low, D. Y., Urpí-Sardà, M., Andrés‐Lacueva, C., González‐Domínguez, R., Aigner, L., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103216 · Cited by 37 · see citing works
Metabolomics dissection of depression heterogeneity and related cardiometabolic risk
Alshehri, T., Mook‐Kanamori, D. O., van Dijk, K. W., Dinga, R., Penninx, B. W. J. H., Rosendaal, F. R., le Cessie, S., & Milaneschi, Y. (2021) · Psychological Medicine · doi:10.1017/s0033291721001471 · Cited by 25 · see citing works
Self-citationMusselman, D. L., Royster, E. B., Wang, M., Long, Q., Trimble, L. M., Mann, T. K., Graciaa, D. S., McNutt, M. D., Auyeung, N. S. F., Oliver, L., et al. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.85 · Cited by 22 · see citing works
Milaneschi, Y., Lamers, F., & Penninx, B. W. J. H. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.4373 · Cited by 21 · see citing works
Self-citationGan, Z., Wu, X., Liao, Y., Wu, Y., He, Z., Yang, Z., & Zhang, Q. (2019) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.12.239 · Cited by 20 · see citing works
Philippe, C., de Edelenyi, F. S., Naudon, L., Druesne‐Pecollo, N., Herçberg, S., Kesse‐Guyot, E., Latino‐Martel, P., Galan, P., & Rabot, S. (2021) · Microorganisms · doi:10.3390/microorganisms9040716 · Cited by 19 · see citing works
Genomics-based identification of a potential causal role for acylcarnitine metabolism in depression
Milaneschi, Y., Arnold, M., Kastenmüller, G., Dehkordi, S. M., Krishnan, R. R., Dunlop, B. W., Rush, A. J., Penninx, B. W. J. H., & Kaddurah-Daouk, R. F. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.03.070 · Cited by 15 · see citing works
Self-citationImai, H., Noma, H., & Furukawa, T. A. (2020) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-020-01173-4 · Cited by 10 · see citing works
Genomics-based identification of a potential causal role for acylcarnitine metabolism in depressionPreprint
Milaneschi, Y., Arnold, M., Kastenmüller, G., et al. (2021) · medRxiv · doi:10.1101/2021.10.18.21265157 · Cited by 6 · see citing works
Self-citationSphingolipids and physical function in the Atherosclerosis Risk in Communities (ARIC) study
Li, D., Alam, A. B., Yu, F., et al. (2021) · Scientific Reports · doi:10.1038/s41598-020-80929-3 · Cited by 4 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
McIntyre, R. S., Alsuwaidan, M., Baune, B. T., Berk, M., Demyttenaere, K., Goldberg, J. F., Gorwood, P., Ho, R., Kasper, S., Kennedy, S. H., et al. (2023) · World Psychiatry · doi:10.1002/wps.21120 · Cited by 836 · see citing works
- Authors
- Brydges, C. R., Bhattacharyya, S., Dehkordi, S. M., Milaneschi, Y., Penninx, B., Jansen, R., Kristal, B. S., Han, X., Arnold, M., Kastenmüller, G., Bekhbat, M., Mayberg, H. S., Craighead, W. E., Rush, A. J., Fiehn, O., Dunlop, B. W., & Kaddurah-Daouk, R.
- Affiliations
- University of California, Davis (US)
- Arkansas State University (US)
- Duke University (US)
- GGZ inGeest (NL)
- Amsterdam University Medical Centers (NL)
- Amsterdam Neuroscience (NL)
- Brigham and Women's Hospital (US)
- The University of Texas at San Antonio Health Science Center (US)
- Helmholtz Munich (DE)
- Emory University (US)
- Texas Tech University (US)
- Corresponding author
- Kaddurah-Daouk, Rima
- ORCID
- Venue
- Brain, Behavior, and Immunity
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 102
- Pages
- 42-52
- ISSN
- 0889-1591 (ISSN-L)
- PMC
- PMC9241382
- OpenAlex
- W4225983076
- Cited by
- 108
- References
- 107
- Citations by year
- 2026: 27 · 2025: 33 · 2024: 25 · 2023: 15 · 2022: 8
- FWCI
- 7.04
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Brain Behavior and Immunity (publishedVersion)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Site cant be reached (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- National Institutes of Health (M01-RR0039, 5r01mh080880-05, RR0039, MH077083, RR025008, R01-MH080880, MH080880, RO1 MH080880)
- National Institute on Aging (RF1AG059093, RF1AG058942, U19AG063744, U01AG061359, R01AG046171)
- National Institute of Mental Health (R01MH108348, R01-MH080880, P50MH077083)
- National Center for Research Resources (UL1RR025008, M01RR000039)
- Topics
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- major depressive disorder, symptom dimensions, inflammation, metabolomics, endogenous depression, anxious distress, NESDA, interleukin-6, C-reactive protein, gut microbiota metabolites, free fatty acids, phosphatidylcholine, sphingomyelin, bile acids, amino acids, acylcarnitines, depression heterogeneity
- MeSH terms
- Amino Acids, Depression, Major Depressive Disorder, Fatty Acids, Nonesterified, Humans, Metabolomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review