Alterations in Plasma Lipidomic Profiles in Adult Patients with Schizophrenia and Major Depressive Disorder
Open accessAbstract
Background and Objectives: Lipidomics is a pivotal tool for investigating the pathogenesis of mental disorders. However, studies qualitatively and quantitatively analyzing peripheral lipids in adult patients with schizophrenia (SCZ) and major depressive disorder (MDD) are limited. Moreover, there are no studies comparing the lipid profiles in these patient populations. Materials and Method: Lipidomic data for plasma samples from sex- and age-matched patients with SCZ or MDD and healthy controls (HC) were obtained and analyzed by liquid chromatography-mass spectrometry (LC-MS). Results: We observed changes in lipid composition in patients with MDD and SCZ, with more significant alterations in those with SCZ. In addition, a potential diagnostic panel comprising 103 lipid species and another diagnostic panel comprising 111 lipid species could distinguish SCZ from HC (AUC = 0.953) or SCZ from MDD (AUC = 0.920) were identified, respectively. Conclusions: This study provides an increased understanding of dysfunctional lipid composition in the plasma of adult patients with SCZ or MDD, which may lay the foundation for identifying novel clinical diagnostic methods for these disorders.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SM and Cers exert an effect on the presynaptic release of dopamine.
“SM and Cers also exert an effect on the presynaptic release of dopamine [34].”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [34]
Nine studies evaluated broad panels of different lipid markers in patients with SCZ and detected statistical differences in fatty acyls, sterols, glycerolipids, sphingolipids, glycerophospholipids, and products of lipid metabolism.
“Nine studies evaluated the broad panels of different lipid markers in patients with SCZ [31,34,40,41,42,43,44,45,46] and detected statistical differences in the following lipid classes: fatty acyls, sterols, glycerolipids, sphingolipids, glycerophospholipids, and products of lipid metabolism.”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [34]
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
Membrane lipids: where they are and how they behave
van Meer, G., Voelker, D. R., & Feigenson, G. W. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2330 · Cited by 7,157 · see citing works
Vos, T., Barber, R. M., Bell, B., Bertozzi-Villa, A., Biryukov, S., Bolliger, I., Charlson, F., Davis, A., Degenhardt, L., Dicker, D., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60692-4 · Cited by 6,414 · see citing works
Self-citationPhosphoinositides in cell regulation and membrane dynamics
Di Paolo, G., & De Camilli, P. (2006) · Nature · doi:10.1038/nature05185 · Cited by 2,790 · see citing works
Rotenstein, L. S., Ramos, M. A., Torre, M., Segal, J. B., Peluso, M. J., Guille, C., Sen, S., & Mata, D. A. (2016) · JAMA · doi:10.1001/jama.2016.17324 · Cited by 2,479 · see citing works
Cross-national epidemiology of DSM-IV major depressive episode
Bromet, E., Andrade, L. H., Hwang, I., Sampson, N. A., Alonso, J., de Girolamo, G., de Graaf, R., Demyttenaere, K., Hu, C., Iwata, N., et al. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-90 · Cited by 2,221 · see citing works
An Updated Review of Lysophosphatidylcholine Metabolism in Human Diseases
Law, S.-H., Chan, M.-L., Marathe, G. K., Parveen, F., Chen, C.-H., & Ke, L.-Y. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20051149 · Cited by 817 · see citing works
Jones, L. L., McDonald, D. A., & Borum, P. R. (2009) · Progress in Lipid Research · doi:10.1016/j.plipres.2009.08.004 · Cited by 455 · see citing works
Gut microbiome and depression: what we know and what we need to know
Winter, G., Hart, R. A., Charlesworth, R. P. G., & Sharpley, C. F. (2018) · Reviews in the Neurosciences · doi:10.1515/revneuro-2017-0072 · Cited by 394 · see citing works
Role of cholesterol and sphingolipids in brain development and neurological diseases
Hussain, G., Wang, J., Rasul, A., Anwar, H., Imran, A., Qasim, M., Zafar, S., Kamran, S., Razzaq, A., Aziz, N., et al. (2019) · Lipids in Health and Disease · doi:10.1186/s12944-019-0965-z · Cited by 383 · see citing works
Self-citationDomenici, E., Willé, D. R., Tozzi, F., Prokopenko, I., Miller, S. L., McKeown, A., Brittain, C. F., Rujescu, D., Giegling, I., Turck, C. W., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009166 · Cited by 347 · see citing works
Zhu, F., Guo, R., Wang, W., Ju, Y., Wang, Q., Ma, Q., Sun, Q., Fan, Y., Xie, Y., Yang, Z., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-019-0475-4 · Cited by 323 · see citing works
Self-citationSteenbergen, R., Nanowski, T. S., Beigneux, A. P., Kulinski, A., Young, S. G., & Vance, J. E. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m506510200 · Cited by 264 · see citing works
Potential metabolite markers of schizophrenia
Yang, J., Chen, T., Sun, L., Zhao, Z., Qi, X., Zhou, K., Cao, Y., Wang, X., Qiu, Y., Su, M., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2011.131 · Cited by 251 · see citing works
Čajka, T., Smilowitz, J. T., & Fiehn, O. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b03404 · Cited by 241 · see citing works
Chen, L.-M., Bao, C., Wu, Y. H., Liang, S.-H., Wang, D., Wu, L.-Y., Huang, Y., Liu, H.-R., & Wu, H.-G. (2021) · Journal of Neuroinflammation · doi:10.1186/s12974-021-02175-2 · Cited by 239 · see citing works
Degradation of lipid droplets by chimeric autophagy-tethering compounds
Fu, Y., Chen, N., Wang, Z., Luo, S., Ding, Y., & Lu, B. (2021) · Cell Research · doi:10.1038/s41422-021-00532-7 · Cited by 232 · see citing works
Mechanisms of lysophosphatidylcholine‐induced demyelination: A primary lipid disrupting myelinopathy
Plemel, J. R., Michaels, N. J., Weishaupt, N., Caprariello, A. V., Keough, M. B., Rogers, J. A., Yukseloglu, A., Lim, J., Patel, V. V., Rawji, K. S., et al. (2018) · Glia · doi:10.1002/glia.23245 · Cited by 220 · see citing works
Velthorst, E., Nieman, D. H., Becker, H. E., van de Fliert, R., Dingemans, P. M. A. J., Klaassen, R. M. C., de Haan, L., van Amelsvoort, T., & LINSZEN, D. H. (2009) · Schizophrenia Research · doi:10.1016/j.schres.2009.02.002 · Cited by 196 · see citing works
Ceramides as Novel Disease Biomarkers
Kurz, J., Parnham, M. J., Geißlinger, G., & Schiffmann, S. (2018) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2018.10.009 · Cited by 189 · see citing works
Mitochondria, Metabolism, and Redox Mechanisms in Psychiatric Disorders
Kim, Y., Vadodaria, K. C., Lenkei, Z., Kato, T., Gage, F. H., Marchetto, M. C., & Santos, R. (2018) · Antioxidants and Redox Signaling · doi:10.1089/ars.2018.7606 · Cited by 189 · see citing works
Neural response to reward as a predictor of increases in depressive symptoms in adolescence
Morgan, J. K., Olino, T. M., McMakin, D. L., Ryan, N. D., & Forbes, E. E. (2013) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.03.039 · Cited by 185 · see citing works
Gi-independent macrophage chemotaxis to lysophosphatidylcholine via the immunoregulatory GPCR G2A
Yang, L. V., Radu, C. G., Wang, L., Riedinger, M., & Witte, O. N. (2004) · Blood · doi:10.1182/blood-2004-05-1916 · Cited by 180 · see citing works
Lipids in Psychiatric Disorders and Preventive Medicine
Schneider, M., Levant, B., Reichel, M., Gulbins, E., Kornhuber, J., & Müller, C. P. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.002 · Cited by 175 · see citing works
Orešič, M., Seppänen‐Laakso, T., Sun, D., Tang, J. P., Therman, S., Viehman, R., Mustonen, U., van Erp, T. G., Hyötyläinen, T., Thompson, P. M., et al. (2012) · eScholarship (California Digital Library) · Cited by 168 · see citing works
Demirkan, A., Isaacs, A., Ugocsai, P., Liebisch, G., Struchalin, M., Rudan, I., Wilson, J. F., Pramstaller, P. P., Gyllensten, U., Campbell, H., et al. (2013) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2012.11.001 · Cited by 163 · see citing works
Plasma lipidomics reveals potential lipid markers of major depressive disorder
Liu, X., Li, J., Zheng, P., Zhao, X., Zhou, C., Hu, C., Hou, X., Wang, H., Xie, P., & Xu, G. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9768-5 · Cited by 148 · see citing works
Self-citationTargeted lipidomics reveal derangement of ceramides in major depression and bipolar disorder
Brunkhorst-Kanaan, N., Klatt‐Schreiner, K., Hackel, J., Schröter, K., Trautmann, S., Hahnefeld, L., Wicker, S., Reif, A., Thomas, D., Geißlinger, G., et al. (2019) · Metabolism · doi:10.1016/j.metabol.2019.04.002 · Cited by 132 · see citing works
McEvoy, J., Baillie, R. A., Zhu, H., Buckley, P., Keshavan, M. S., Nasrallah, H. A., Dougherty, G. G., Yao, J. K., & Kaddurah-Daouk, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068717 · Cited by 127 · see citing works
Qiao, J., Huang, F., Naikawadi, R. P., Kim, K. S., Said, T., & Lum, H. (2006) · American Journal of Physiology-Lung Cellular and Molecular Physiology · doi:10.1152/ajplung.00508.2005 · Cited by 125 · see citing works
Weight gain and metabolic changes during treatment with antipsychotics and antidepressants
Himmerich, H., Minkwitz, J., & Kirkby, K. (2015) · Endocrine, Metabolic & Immune Disorders-Drug Targets · doi:10.2174/1871530315666150623092031 · Cited by 122 · see citing works
The ceramide system as a novel antidepressant target
Kornhuber, J., Müller, C. P., Becker, K. A., Reichel, M., & Gulbins, E. (2014) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2014.04.003 · Cited by 121 · see citing works
Striatal Response to Reward Anticipation
Grimm, O., Heinz, A., Walter, H., Kirsch, P., Erk, S., Haddad, L., Plichta, M. M., Romanczuk‐Seiferth, N., Pöhland, L., Mohnke, S., et al. (2014) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.9 · Cited by 108 · see citing works
Hashimoto, M., Katakura, M., Tanabe, Y., Mamun, A. A., Inoue, T., Hossain, S., Arita, M., & Shido, O. (2014) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2014.10.009 · Cited by 101 · see citing works
Cognition as a target in schizophrenia, bipolar disorder and depression
Martinez-Aran, A., & Vieta, E. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.01.007 · Cited by 101 · see citing works
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 · doi:10.1038/s41398-020-01097-6 · Cited by 95 · see citing works
Qin, X., Qiu, C., & Zhao, L. (2014) · Cellular Immunology · doi:10.1016/j.cellimm.2014.04.010 · Cited by 87 · see citing works
Age and sex are associated with the plasma lipidome: findings from the GOLDN study
Slade, E., Irvin, M. R., Xie, K., Arnett, D. K., Claas, S. A., Kind, T., Fardo, D. W., & Graf, G. A. (2021) · Lipids in Health and Disease · doi:10.1186/s12944-021-01456-2 · Cited by 83 · see citing works
Cao, B., Wang, D., Pan, Z., Brietzke, E. M., McIntyre, R. S., Musial, N., Mansur, R. B., Subramanieapillai, M., Zeng, J., Huang, N., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-018-0353-x · Cited by 82 · see citing works
Self-citationRobinson, D. G., Gallego, J. A., John, M., Hanna, L. A., Zhang, J., Birnbaum, M. L., Greenberg, J., Naraine, M., Peters, B. D., McNamara, R. K., et al. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.09.006 · Cited by 77 · see citing works
Lipidomics in Major Depressive Disorder
Walther, A., Cannistraci, C. V., Simons, K., Durán, C., Gerl, M. J., Wehrli, S., & Kirschbaum, C. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00459 · Cited by 77 · see citing works
Phenomenology of First-Episode Psychosis in Schizophrenia, Bipolar Disorder, and Unipolar Depression
Rosen, C., Marvin, R. W., Reilly, J. L., León, O. A. D., Harris, M. S. H., Keedy, S., Solari, H., Weiden, P. J., & Sweeney, J. A. (2012) · Clinical Schizophrenia & Related Psychoses · doi:10.3371/csrp.6.3.6 · Cited by 73 · see citing works
Metabolic Profiling Identifies Phospholipids as Potential Serum Biomarkers for Schizophrenia
Wang, D., Cheng, S. L., Fei, Q., Gu, H., Raftery, D., Cao, B., Sun, X., Yan, J., Zhang, C., & Wang, J. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2018.12.008 · Cited by 73 · 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
Llano, D. A., Initiative, F. T. A. D. N., & Devanarayan, V. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201420 · Cited by 63 · 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
Ghosh, S., Dyer, R., & Beasley, C. L. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.08.009 · Cited by 56 · see citing works
McDougall, M. Q., Choi, J., Magnusson, K. R., Truong, L., Tanguay, R. L., & Traber, M. G. (2017) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2017.08.002 · Cited by 54 · see citing works
Glucose and lipid metabolism of long‐term risperidone monotherapy in patients with schizophrenia
Murashita, M. M., Inoue, T., Kusumi, I., Nakagawa, S., Itoh, K., Tanaka, T., Izumi, T., Hosoda, H., Kangawa, K., & Koyama, T. (2007) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2007.01610.x · Cited by 51 · see citing works
Wong, M. W. K., Braidy, N., Pickford, R., Vafaee, F., Crawford, J. D., Muenchhoff, J., Schofield, P. W., Attia, J., Brodaty, H., Sachdev, P. S., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214141 · Cited by 51 · see citing works
Kim, E. Y., Lee, J. W., Lee, M. Y., Kim, S. H., Mok, H. J., Ha, K., Ahn, Y. M., & Kim, K. P. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2018.04.029 · Cited by 50 · see citing works
Potential Therapeutic Role of Carnitine and Acetylcarnitine in Neurological Disorders
Maldonado, C., Vázquez, M., & Fagiolino, P. L. (2020) · Current Pharmaceutical Design · doi:10.2174/1381612826666200212114038 · Cited by 49 · see citing works
Shi, Y., Song, R., Wang, L., Qi, Y., Zhang, H., Zhu, J., Zhang, X., Tang, X., Zhan, Q., Zhao, Y., et al. (2020) · Journal of Affective Disorders · doi:10.1016/j.jad.2020.08.078 · Cited by 48 · see citing works
Liu, Y., Song, X., Liu, X., Pu, J., Gui, S., Xu, S., Tian, L., Zhong, X., Zhao, L., Wang, H., et al. (2021) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13194 · Cited by 48 · see citing works
Chen, L., Chao, Y., Cheng, P., et al. (2019) · Neurochemical Research · doi:10.1007/s11064-019-02829-x · Cited by 43 · see citing works
Gur, S., Weizman, S., Stubbs, B., Matalon, A., Meyerovitch, J., Hermesh, H., & Krivoy, A. (2017) · Psychiatry Research · doi:10.1016/j.psychres.2017.11.042 · Cited by 42 · see citing works
Kurano, M., Kobayashi, T., Sakai, E., et al. (2021) · The FASEB Journal · doi:10.1096/fj.202100245r · Cited by 42 · see citing works
Platelet serotonin concentration and depressive symptoms in patients with schizophrenia
Peitl, V., Vidrih, B., Karlović, Z., Getaldić, B., Peitl, M., & Karlović, D. (2016) · Psychiatry Research · doi:10.1016/j.psychres.2016.03.006 · Cited by 39 · see citing works
Comparative effects of aripiprazole and selected antipsychotic drugs on lipid peroxidation in plasma
Dietrich‐Muszalska, A., & Kolińska‐Łukaszuk, J. (2017) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12631 · Cited by 38 · see citing works
Koyanagi, A., Oh, H. Y., Stubbs, B., Haro, J. M., & DeVylder, J. (2016) · Psychological Medicine · doi:10.1017/s0033291716002750 · Cited by 34 · see citing works
Kim, E. J., Lim, S. Y., Lee, H. J., Lee, J., Choi, S., Kim, S., Kim, J., Shin, I., Yoon, J., Yang, S. J., et al. (2017) · Nutrition Research · doi:10.1016/j.nutres.2017.07.001 · Cited by 33 · see citing works
Macoveanu, J., Knorr, U. B., Skimminge, A., Soendergaard, M. G., Jørgensen, A., Faurholt‐Jepsen, M., Paulson, O. B., Knudsen, G. M., Siebner, H. R., & Kessing, L. V. (2013) · Psychological Medicine · doi:10.1017/s0033291713001815 · Cited by 32 · see citing works
You, Q., Peng, Q., Yu, Z., et al. (2020) · Bioscience Reports · doi:10.1042/bsr20201519 · Cited by 31 · see citing works
Aquino, A., Alexandrino, G. L., Guest, P. C., Augusto, F., Gomes, A. F., Murgu, M., Steiner, J. H., & Martins‐de‐Souza, D. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00209 · Cited by 29 · see citing works
Subodh, B. N., & Grover, S. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102425 · Cited by 28 · see citing works
Gohar, S. M., Dieset, I., Steen, N. E., Mørch, R. H., Iversen, T., Steen, V. M., Andreassen, O. A., & Melle, I. S. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0897-z · Cited by 27 · see citing works
Minamihata, T., Takano, K., Moriyama, M., & Nakamura, Y. (2020) · Inflammation · doi:10.1007/s10753-020-01271-4 · Cited by 27 · see citing works
Bruno, A., Pandolfo, G., Crucitti, M., Lorusso, S., Zoccali, R. A., & Muscatello, M. R. A. (2016) · Clinical Neuropharmacology · doi:10.1097/wnf.0000000000000170 · Cited by 26 · see citing works
Wang, Z., Zheng, K. I., Wang, X., Qiao, J., Li, Y., Zhang, L. R., Zheng, M., & Wu, J. (2021) · Hepatobiliary & pancreatic diseases international · doi:10.1016/j.hbpd.2021.05.008 · Cited by 26 · see citing works
Graph theory applied to the analysis of motor activity in patients with schizophrenia and depression
Fasmer, E. E., Fasmer, O. B., Berle, J. Ø., Oedegaard, K. J., & Hauge, E. R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194791 · Cited by 23 · see citing works
Sun, Y., Song, K., Liu, L., et al. (2021) · Journal of Experimental Botany · doi:10.1093/jxb/erab300 · Cited by 23 · see citing works
Guo, L., Zhang, T., Li, R., Cui, Z.-Q., Du, J., Yang, J.-B., Xue, F., Chen, Y., Tan, Q.-R., & Peng, Z. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.802710 · Cited by 23 · see citing works
Self-citationLiu, J.-Y., Chen, H., Lin, J., Lu, M.-K., Tan, H.-P., Jang, F.-L., & Lin, S. (2020) · International Journal of Medical Sciences · doi:10.7150/ijms.38891 · Cited by 20 · see citing works
Liu, J., Xiu, M., Liu, H., Wang, J., & Li, X. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.735196 · Cited by 19 · see citing works
Self-citationDepressive Symptoms during an Acute Schizophrenic Episode: Frequency and Clinical Correlates
Rajkumar, R. P. (2015) · Depression Research and Treatment · doi:10.1155/2015/674641 · Cited by 17 · see citing works
Yuan, B., Sun, X., Xu, Z., Pu, M., Yuan, Y., & Zhang, Z. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02798-4 · Cited by 16 · see citing works
Kim, S.-J., Jeong, M.-J., Jo, H.-J., Jung, J. H., Kaang, B., Choi, Y., & Kim, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-03520-3 · Cited by 12 · see citing works
Yin, X., Mongan, D., Cannon, M. D., Zammit, S., Hyötyläinen, T., Orešič, M., Brennan, L., & Cotter, D. (2022) · Schizophrenia Research · doi:10.1016/j.schres.2022.02.029 · Cited by 7 · see citing works
Orešič, M., Seppänen-Laakso, T., Sun, D., Tang, J., Therman, S., Viehman, R., Mustonen, U., van Erp, T. G., Hyötyläinen, T., Thompson, P., et al. (2012) · Genome Medicine · doi:10.1186/gm300 · Cited by 5 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers
Zorkina, Y., Ushakova, V., Ochneva, A., Tsurina, A., Abramova, O., Savenkova, V., Goncharova, A., Alekseenko, I., Morozova, I., Riabinina, D., et al. (2024) · Metabolites · doi:10.3390/metabo14020080 · Cited by 36 · see citing works
Costa, A., Riça, L., van de Bilt, M., Zandonadi, F., Gattaz, W., Talib, L., & Sussulini, A. (2023) · Metabolites · doi:10.3390/metabo13050600 · Cited by 25 · see citing works
- Authors
- Wang, F., Guo, L., Zhang, T., Cui, Z., Wang, J., Zhang, C., Xue, F., Zhou, C., Li, B., Tan, Q., & Peng, Z.
- Affiliations
- Department of Psychiatry, Chang’an Hospital, Xi’an 710000, China
- Xijing Hospital (CN)
- School of Biomedical Engineering, Air Force Medical University, Xi’an 710032, China
- Corresponding author
- Tan, Qingrong
- Peng, Zhengwu
- Venue
- Medicina
- Publisher
- MDPI AG
- Published
- 2022-10-24
- Volume
- 58
- Issue
- 11
- Pages
- 1509
- ISSN
- 1010-660X (ISSN-L)
- 1648-9144
- PMC
- PMC9697358
- OpenAlex
- W4307269141
- Cited by
- 18
- References
- 78
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 5 · 2023: 3
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Medicina (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (81630032, 82171512, 82101594, 61976248)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
- Keywords
- schizophrenia, major depressive disorder, plasma lipidomics, diagnostic biomarker panel, differential diagnosis, mental illness
- MeSH terms
- Lipidomics, Adult, Depressive Disorder, Major, Major Depressive Disorder, Humans, Lipids, Schizophrenia, Mass Spectrometry
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
