Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

Pinto, Bruno; Conde, Tiago; Domingues, Inês; Domingues, M. Rosário

doi:10.3390/ijms23042032

Cited by 52Treatment of Major DepressionMetabolomics and Mass Spectrometry StudiesTryptophan and brain disorders

Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

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Pinto, Bruno, Conde, Tiago, Domingues, Inês, Domingues, M. Rosário·2022·International Journal of Molecular Sciences

DOI 10.3390/ijms23042032PMC PMC8874755

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Abstract

Major depressive disorder (MDD), also called depression, is a serious disease that impairs the quality of life of patients and has a high incidence, affecting approximately 3.8% of the world population. Its diagnosis is very subjective and is not supported by measurable biomarkers mainly due to the lack of biochemical markers. Recently, disturbance of lipid profiling has been recognized in MDD, in animal models of MDD or in depressed patients, which may contribute to unravel the etiology of the disease and find putative new biomarkers, for a diagnosis or for monitoring the disease and therapeutics outcomes. In this review, we provide an overview of current knowledge of lipidomics analysis, both in animal models of MDD (at the brain and plasma level) and in humans (in plasma and serum). Furthermore, studies of lipidomics analyses after antidepressant treatment in rodents (in brain, plasma, and serum), in primates (in the brain) and in humans (in plasma) were reviewed and give evidence that antidepressants seem to counteract the modification seen in lipids in MDD, giving some evidence that certain altered lipid profiles could be useful MDD biomarkers for future precision medicine.

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Analyses of plasma lipid profile following citalopram and escitalopram administration reveal changes in several types of PC, including increases in PC (36:2), PC (30:0), PC (34:3), PC-O (34:2), PC-O (36:3), LPC (24:0), and SM (24:0) and decreases in PC (36:4), PC (38:6), LPC (20:4), and SM (18:1).
“Analyses of the plasma lipid profile following citalopram and escitalopram administration revealed changes in several types of PC, namely alkyl-PC, lysopPC, and SM (e.g., increases in PC (36:2), PC (30:0), PC (34:3), PC-O (34:2), PC-O (36:3), LPC (24:0), and SM (24:0) and decreases in PC (36:4), PC (38:6), LPC (20:4), and SM (18:1)) [157,158,159].”
From Lipids in Psychiatric Disorders: Functional and Potential Diagnostic Role as Blood Biomarkers (2024) · cites this paper as [158]

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Disturbed neurotransmitter homeostasis in ether lipid deficiency
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Energy metabolism in major depressive disorder: Recent advances from omics technologies and imaging
Gu, X., Ke, S., Wang, Q., Zhuang, T., Xia, C., Xu, Y., Yang, L., & Zhou, M. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111869 · Cited by 89 · cited 1× · see citing works
“Due to the high prevalence of disability that translates in low productivity, and significant health and economic costs [4], MDD is considered one of the primary causes of the economic burden of disease worldwide [5].”
Background
Long-chain polyunsaturated fatty acid accretion in brain
Qi, K., Hall, M., & Deckelbaum, R. J. (2002) · Current Opinion in Clinical Nutrition & Metabolic Care · doi:10.1097/00075197-200203000-00003 · Cited by 78 · 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
Alterations in phospholipidomic profile in the brain of mouse model of depression induced by chronic unpredictable stress
Faria, R., Santana, M. M., Aveleira, C. A., Simões, C. S. O., Maciel, E. A., Melo, T., Santinha, D. R., Oliveira, M. M., Peixoto, F., Domingues, P. M., et al. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.04.042 · Cited by 76 · cited 2× · see citing works
“The authors suggested this shift as a result from the unregulated oxidative stress that is observed in individuals with MDD [64].”
BackgroundMethodSelf-citation
Evidence that Plasmalogen is Protective Against Oxidative Stress in the Rat Brain
Kuczynski, B., & Reo, N. V. (2006) · Neurochemical Research · doi:10.1007/s11064-006-9061-7 · Cited by 72 · cited 1× · see citing works
“Moreover, plasmalogen species particularly from PE class, are quite abundant in the brain and are often described as having an antioxidant role, although this mechanism remains unclear [80,81].”
Background
Norepinephrine Transporter in Major Depressive Disorder: A PET Study
Moriguchi, S., Yamada, M., Takano, H., Nagashima, T., Takahata, K., Yokokawa, K., Ito, T., Ishii, T., Kimura, Y., Zhang, M.-R., et al. (2016) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2016.15101334 · Cited by 72 · cited 1× · see citing works
“In fact, some studies have found associations between changes in 5HT levels, as well as NE and DA, and behavioral aspects including appetite, sleep, pain response, and circadian rhythm, all of which are linked to MDD [33,34].”
Background
Towards precision medicine for stress disorders: diagnostic biomarkers and targeted drugs
Le-Niculescu, H., Roseberry, K., Levey, D. F., Rogers, J., Kosary, K., Prabha, S., Jones, T., Judd, S., McCormick, M. A., Wessel, A. R., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0370-z · Cited by 65 · cited 1× · see citing works
“Thus, lipidomics represents a promising approach to identify new biomarkers that could be used in the future for quantitative diagnosis or monitoring of response to treatment in the context of MDD [15], aiming for possible application in precision medicine, considering the individual diagnosis [26,27].”
Background
Lipidomes in health and disease: Analytical strategies and considerations
Wei, F., Lamichhane, S., Orešič, M., & Hyötyläinen, T. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.115664 · Cited by 60 · cited 1× · see citing works
“Disturbances in the lipid profile can be associated with diseases and knowledge of the specific deviation of the lipidome in each disease is very promising for the identification of disease biomarkers, for diagnosis and prognosis, in addition to being important to unravel the pathophysiological processes associated wi…”
Background
The role of ceramide in major depressive disorder
Kornhuber, J., Reichel, M., Tripal, P., Groemer, T. W., Henkel, A. W., Mühle, C., & Gulbins, E. (2009) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-009-0061-x · Cited by 59 · cited 2× · see citing works
“Interestingly increase in Cer in human plasma was observed, probably occurring due to increase in ASM activity, as referred above [72].”
Background
Roles of multiple lipid mediators in stress and depression
Furuyashiki, T., Akiyama, S., & Kitaoka, S. (2019) · International Immunology · doi:10.1093/intimm/dxz023 · Cited by 59 · cited 1× · see citing works
“This is also corroborated by decrease in AA, an anti-inflammatory mediator [97].”
Background
Systems biology approaches to study lipidomes in health and disease
Alves, M. A., Lamichhane, S., Dickens, A. M., McGlinchey, A. J., Ribeiro, H. C., Sen, P., Wei, F., Hyötyläinen, T., & Orešič, M. (2020) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2020.158857 · Cited by 59 · cited 4× · see citing works
“Disturbances in the lipid profile can be associated with diseases and knowledge of the specific deviation of the lipidome in each disease is very promising for the identification of disease biomarkers, for diagnosis and prognosis, in addition to being important to unravel the pathophysiological processes associated wi…”
BackgroundMethodInfluential
Lipid Metabolite Biomarkers in Cardiovascular Disease: Discovery and Biomechanism Translation from Human Studies
McGranaghan, P., Kirwan, J., García-Rivera, M. A., Pieske, B. M., Edelmann, F., Blaschke, F., Appunni, S., Saxena, A., Rubens, M., Veledar, E., et al. (2021) · Metabolites · doi:10.3390/metabo11090621 · Cited by 55 · cited 1× · see citing works
“This is important in the case of MDD, where major modifications are expected to occur in the brain, that is inaccessible for molecular and biochemical analysis [63].”
Background
Chronic vitamin E deficiency impairs cognitive function in adult zebrafish via dysregulation of brain lipids and energy metabolism
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 · cited 1× · see citing works
“They are involved in crucial brain functions, such as membrane composition, signal transduction, biological messenger functions, neuroendocrine function, and energy reserves [15], and also contribute substantially to biological processes associated with learning and memory [17,18].”
Background
The Use of Antidepressants, Anxiolytics, Sedatives and Hypnotics in Europe: Focusing on Mental Health Care in Portugal and Prescribing in Older Patients
Estrela, M., Herdeiro, M. T., Ferreira, P. L., & Roque, F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17228612 · Cited by 53 · cited 1× · see citing works
“It is expected to become one of the main global burden of diseases by 2030 [3].”
Background
Serum lipidomic analysis for the discovery of biomarkers for major depressive disorder in drug-free patients
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 · cited 5× · see citing works
“Serum PS(34:2); LPI(16:0); LPI(18:2); TG(54:5); TG(54:6); TG(54:7); TG(54:8); TG(58:10); DG(32:0); DG(36:1); ChE(20:5) PI(32:1); PI(32:2); PI(34:1); PI(34:2); PI(34:3); PI(36:2); PI(36:3); LPC(16:1); LPA(16:1); LPA(22:4); TG(48:2); TG(50:3); TG(50:4); TG(52:6); DG(36:8) [70]”
BackgroundInfluential
Dooming Phagocyte Responses: Inflammatory Effects of Endogenous Oxidized Phospholipids
Gioia, M. D., & Zanoni, I. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.626842 · Cited by 50 · see citing works
Effect of Allium macrostemon on a rat model of depression studied by using plasma lipid and acylcarnitine profiles from liquid chromatography/mass spectrometry
Chen, S., Wei, C., Gao, P., Kong, H., Jia, Z., Hu, C., Dai, W., Wu, Y., & Xu, G. (2013) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2013.10.045 · Cited by 49 · cited 3× · see citing works
“The use of antidepressants can reduce the levels of these pro-inflammatory mediators, which in turn may contribute to resolution of inflammation, and further attenuation of MDD [66,78,79].”
BackgroundResult
Occupancy of Norepinephrine Transporter by Duloxetine in Human Brains Measured by Positron Emission Tomography with (S,S)-[18F]FMeNER-D2
Moriguchi, S., Takano, H., Kimura, Y., Nagashima, T., Takahata, K., Kubota, M., Kitamura, S., Ishii, T., Ichise, M., Zhang, M.-R., et al. (2017) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyx069 · Cited by 47 · cited 1× · see citing works
“In fact, some studies have found associations between changes in 5HT levels, as well as NE and DA, and behavioral aspects including appetite, sleep, pain response, and circadian rhythm, all of which are linked to MDD [33,34].”
Background
Chronic stress and antidepressant treatment alter purine metabolism and beta oxidation within mouse brain and serum
Hamilton, P. J., Chen, E. Y., Tolstikov, V., Peña, C. J., Picone, J. A., Shah, P., Panagopoulos, K., Strat, A. N., Walker, D. M., Lorsch, Z. S., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-75114-5 · Cited by 46 · cited 1× · see citing works
“Serum Imipramine PA(44:4); PE-O(36:2); SM(d34:1); DG(38:2) PE(44:12); PE-O(44:5); LPE-O(14:1); lysoPS(10:0); lysoPS(20:5); SM(d34:1); SM(d38:3); TG(42:2) [91]”
Analytical approaches for lipidomics and its potential applications in neuropsychiatric disorders
Sethi, S., Hayashi, M. A. F., Sussulini, A., Tasić, L., & Brietzke, E. M. (2015) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2015.1117656 · Cited by 44 · cited 2× · see citing works
“The use of lipidomics to monitor progression of therapeutics and for a better prognosis could translate into a more accurate strategy to treat patients with MDD and predict its outcome [86].”
Background
Lipidomic analyses of the mouse brain after antidepressant treatment: evidence for endogenous release of long-chain fatty acids?
Lee, L. H.-W., Shui, G., Farooqui, A. A., Wenk, M. R., Tan, C. H., & Ong, W. (2009) · The International Journal of Neuropsychopharmacology · doi:10.1017/s146114570900995x · Cited by 43 · cited 3× · see citing works
“Maprotiline PC(30:0); PC(32:0); LPC(16:0); LPC(16:1); LPC(18:0); LPC(18:1); LPC(18:2); LPC(20:4); PC-O(30:0); PC-O/PC-P(36:3); Cer(d34:1); Cer(d36:1); Cer(d38:1); Cer(d40:1); Cer(d42:1); SM(34:0) PC(36:1); PC(38:3); PC(40:5); PC(40:6); PE(34:2); PE(36:5); PI(38:6); PI(40:4); PC-O/PC-P(40:2); PC-O/PC-P(42:5); PC-O/PC-P…”
Background
Analytical challenges of shotgun lipidomics at different resolution of measurements
Wang, J., & Han, X. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.115697 · Cited by 43 · cited 1× · see citing works
“DI-MS is usually used with target lipidomics based on shotgun approaches [60].”
Background
Recent Findings in the Pathophysiology of Depression
Nemeroff, C. B. (2008) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/foc.6.1.foc3 · Cited by 39 · cited 2× · see citing works
“Moreover, the effectiveness of current drug therapy is highly variable, with high and significant rates of non-responders to antidepressant treatments [28,86].”
Background
Effect of sphingomyelinase treatment on ligand binding activity of human serotonin1A receptors
Jafurulla, M., Pucadyil, T. J., & Chattopadhyay, A. (2008) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2008.07.007 · Cited by 38 · cited 1× · see citing works
“However, increase in ASM activity is a hallmark of MDD and could suggested the inefficacy of maprotiline and paroxetine to revert this [73,96].”
Background
Cross-network interaction for diagnosis of major depressive disorder based on resting state functional connectivity
Zhu, X., Yuan, F., Zhou, G., Nie, J., Wang, D., Hu, P., Ouyang, L., Kong, L., & Liao, W. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00326-2 · Cited by 38 · cited 1× · see citing works
“Together, these changes seem to affect the normal composition and function of the brain [52], affecting lipids due to peroxidation.”
Background
Ceramide-Induced Alterations in Dopamine Transporter Function
Riddle, E. L., Rau, K. S., Topham, M. K., Hanson, G. R., & Fleckenstein, A. E. (2003) · European Journal of Pharmacology · doi:10.1016/s0014-2999(02)02727-9 · Cited by 37 · cited 2× · see citing works
“Moreover, increase in Cer can contribute to the progression of depression as they can alter the function of DA transporters, reducing transport of DA and increasing transport of 5HT [73].”
Background
New Molecular Targets for Antidepressant Drugs
Kornhuber, J., & Gulbins, E. (2021) · Pharmaceuticals · doi:10.3390/ph14090894 · Cited by 37 · cited 1× · see citing works
“Inhibition of ASM is already a promising therapeutic approach for MDD, and it targets the metabolism of sphingolipids, so several antidepressants seem to inhibit the upregulation of this enzyme in patients with MDD [74].”
Background
Brain lipoprotein lipase as a regulator of energy balance
Cruciani‐Guglielmacci, C., & Magnan, C. (2017) · Biochimie · doi:10.1016/j.biochi.2017.07.012 · Cited by 35 · cited 1× · see citing works
“Dysfunction of these enzymes can lead to an increase in TG levels, suggesting low energy consumption, which may explain the increased fatigue observed in patients with MDD [84].”
Background
Fatty acid chain length drives lysophosphatidylserine-dependent immunological outputs
Khandelwal, N., Shaikh, M., Mhetre, A. B., Singh, S., Sajeevan, T., Joshi, A., Balaji, K. N., Chakrapani, H., & Kamat, S. S. (2021) · Cell chemical biology · doi:10.1016/j.chembiol.2021.01.008 · Cited by 35 · see citing works
Genetics of Treatment Outcomes in Major Depressive Disorder: Present and Future
Fabbri, C., & Serretti, A. (2020) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2020.18.1.1 · Cited by 34 · cited 1× · see citing works
“In addition, assessment of the therapeutic outcome is difficult due to lack of specific signs of prognosis and specific markers, and there is a high chance of reemission [12].”
Background
The impact of repetitive transcranial magnetic stimulation and fluoxetine on the brain lipidome in a rat model of chronic unpredictable stress
Xue, S., Zhou, C., Xue, F., Liu, L., Cai, Y., Luo, J., Wang, Y., Tan, Q., Wang, H., & Peng, Z. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.109946 · Cited by 32 · cited 3× · see citing works
“(2020) evaluated the lipidome of the PFC and the hippocampus of rodents after the administration of fluoxetine combined with repetitive transcranial magnetic stimulation (rTMS) [90].”
BackgroundInfluential
Lipidomics of the brain, retina, and biofluids: from the biological landscape to potential clinical application in schizophrenia
Zhuo, C., Hou, W., Tian, H., Wang, L., & Li, R. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01080-1 · Cited by 32 · cited 1× · see citing works
“The use of modern lipidomics approaches based on mass spectrometry (MS) allowed the understanding of brain lipidome, as well as to identify changes in brain and central nervous system lipidome related to several psychiatric diseases, namely schizophrenia and bipolar disorder [20,21], and some in MDD, as reviewed in th…”
Background
Serum phosphatidylinositol as a biomarker for bipolar disorder liability
Knowles, E. E. M., Meikle, P. J., Huynh, K., Göring, H. H. H., Olvera, R. L., Mathias, S. R., Duggirala, R., Almasy, L. A., Blangero, J., Curran, J. E., et al. (2017) · Bipolar Disorders · doi:10.1111/bdi.12468 · Cited by 27 · cited 1× · see citing works
“PI are membrane phospholipids which give rise to secondary messengers and are major contributors to transduction pathways [82].”
Background
Oxolipidomics profile in major depressive disorder: Comparing remitters and non-remitters to repetitive transcranial magnetic stimulation treatment
Stirton, H., Meek, B. P., Edel, A. L., Solati, Z., Surendran, A., Aukema, H. M., Modirrousta, M., & Ravandi, A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0246592 · Cited by 23 · cited 7× · see citing works
“Increase in PC-O, an important antioxidant phospholipid, could derive from a reduction in the unregulated oxidative stress and, consequently, in ROS levels.”
BackgroundInfluential
Long-Chain Omega-3 Fatty Acid Deficiency in Mood Disorders: Rationale for Treatment and Prevention
McNamara, R. K. (2013) · Current Drug Discovery Technologies · doi:10.2174/1570163811310030006 · Cited by 20 · see citing works
Untargeted Plasma Metabolomic Profiling in Patients with Major Depressive Disorder Using Ultra-High Performance Liquid Chromatography Coupled with Mass Spectrometry
Homorogan, C., Nitusca, D., Enatescu, V., Schubart, P., Moraru, C., Socaciu, C., & Marian, C. (2021) · Metabolites · doi:10.3390/metabo11070466 · Cited by 19 · cited 5× · see citing works
“The analysis of plasma lipidome from humans after administration of citalopram and escitalopram revealed an increase in several PC and PC-O species, and to a lesser extent, LPC and SM species, and a decrease in PC(38:6), PC(36:4), PS and sphinganine-1-phosphate (SA1P) [92,93].”
BackgroundInfluential
Role of prefrontal cortical calcium independent phospholipase A2 in antidepressant-like effect of maprotiline
Lee, L. H.-W., Tan, C. H., Shui, G., Wenk, M. R., & Ong, W. (2011) · The International Journal of Neuropsychopharmacology · doi:10.1017/s1461145711001234 · Cited by 17 · cited 4× · see citing works
“Phospholipid species in the brain are rich in DHA, which is crucial for the induction and maintenance of long-term potentiation and synaptic transmission [88,89].”
BackgroundInfluential
Novel Phospholipid Signature of Depressive Symptoms in Patients with Coronary Artery Disease
Chan, P., Suridjan, I., Mohammad, D., Herrmann, N., Mazereeuw, G., Hillyer, L. M., Ma, D. W. L., Oh, P. I., & Lanctôt, K. L. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.117.008278 · Cited by 15 · cited 3× · see citing works
“This further supports the association between depression and chronic inflammation [68].”
BackgroundResultInfluential
Long-Term Fluoxetine Administration Causes Substantial Lipidome Alteration of the Juvenile Macaque Brain
Tkachev, A., Stekolshchikova, E., Bobrovskiy, D. M., Anikanov, N. A., Ogurtsova, P., Park, D. I., Horn, A. K. E., Petrova, D., Khrameeva, E. E., Golub, M. S., et al. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158089 · Cited by 12 · cited 5× · see citing works
“The effect of fluoxetine seems to affect mainly the fatty acyl residue composition, with changes being observed mostly in PUFAs [94].”
BackgroundInfluential
A high coverage pseudotargeted lipidomics method based on three-phase liquid extraction and segment data-dependent acquisition using UHPLC-MS/MS with application to a study of depression rats
Danyang, L., Yang, J., Jin, W., Zhong, Q., & Zhou, T. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03349-w · Cited by 11 · cited 6× · see citing works
“The use of antidepressants can reduce the levels of these pro-inflammatory mediators, which in turn may contribute to resolution of inflammation, and further attenuation of MDD [66,78,79].”
BackgroundInfluential
Effects of lipid peroxidation on neurotransmitters uptake by rat synaptosomes.
Dąbrowiecki, Z., Gordon-Majszak, W., & Łazarewicz, J. W. (1986) · PubMed · Cited by 9 · see citing works
Lipidomics and the quest for brainy lipids
Legido‐Quigley, C. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103256 · Cited by 5 · cited 1× · see citing works
“Lipids are the main components of the brain, with roughly around 60% of dry weight [16].”
Background
Multi-OMIC analysis of brain and serum from chronically-stressed mice reveals network disruptions in purine metabolism, fatty acid beta-oxidation, and antioxidant activity that are reversed by antidepressant treatmentPreprint
Hamilton, P. J., Chen, E. Y., Tolstikov, V., Peña, C. J., Shah, P., Panagopoulos, K., Strat, A. N., Walker, D. M., Lorsch, Z. S., Mervosh, N. L., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/490748 · Cited by 4 · see citing works
The Substantiality of the Neuroplasticity Hypothesis of Major Depressive Disorder: The Prospective Use of Ketamine-Like Drugs as Antidepressants
Kankaria, R. A. (2020) · VCU Scholars Compass (Virginia Commonwealth University) · doi:10.25886/3j3w-zx18 · Cited by 1 · cited 1× · see citing works
“regulation of monoamine neurotransmitter receptor [32].”

Flagged first, then by citations

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Sorted by citations

Is depression the missing link between inflammatory mediators and cancer?
Polityńska, B., Pokorska, O., Wojtukiewicz, A. M., Sawicka, M., Mysliwiec, M., Honn, K. V., Tucker, S. C., & Wojtukiewicz, M. Z. (2022) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2022.108293 · Cited by 80 · see citing works
Depression and coronary heart disease: mechanisms, interventions, and treatments
Xu, L., Zhai, X., Shi, D.-Z., & Zhang, Y. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1328048 · Cited by 72 · see citing works
Neurobiology of Depression: Chronic Stress Alters the Glutamatergic System in the Brain—Focusing on AMPA Receptor
Lee, M. T., Peng, W., Kan, H., Wu, C., Wang, D., & Ho, Y. (2022) · Biomedicines · doi:10.3390/biomedicines10051005 · Cited by 67 · see citing works
“In addition to the monoaminergic system, a growing body of evidence has revealed that the glutamatergic system plays a critical role in the pathophysiological mechanisms of MDD [1,22,23].”
Background
The metabolome-wide signature of major depressive disorder
Jansen, R., Milaneschi, Y., Schranner, D., Kastenmüller, G., Arnold, M., Han, X., Dunlop, B. W., Rush, A. J., Kaddurah-Daouk, R. F., & Penninx, B. W. J. H. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02613-6 · Cited by 56 · see citing works
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
“This makes it difficult to assess the ability of antidepressants to affect lipid metabolism and restore normal lipid profiles [158].”
Background
Lipid metabolic dysregulation-induced neuroinflammation in the pathophysiology of major depressive disorder
Ge, Z., Hu, Y., Kan, W., Li, L., Xu, J., Zhang, Y., Zheng, N., Wang, G., & Du, J. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1625087 · Cited by 33 · see citing works
Lipidomics and genomics in mental health: insights into major depressive disorder, bipolar disorder, schizophrenia, and obsessive-compulsive disorder
Modesti, M. N., Arena, J. F., CASALE, A. D., Gentile, G., Borro, M., Parmigiani, G., Simmaco, M., Guariglia, C., & Ferracuti, S. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02512-x · Cited by 28 · see citing works
“Additionally, peripheral biomarkers encompassing cytokines [12], markers of oxidative stress [13, 14], and lipids [15] have been explored.”
Impact of chronic fluoxetine exposure on zebrafish: From fatty acid profile to behavior
Pinto, B., Correia, D., Conde, T., Faria, M., Oliveira, M., Domingues, M. R., & Domingues, I. (2024) · Chemosphere · doi:10.1016/j.chemosphere.2024.142026 · Cited by 19 · see citing works
Self-citation
Promising Antidepressant Potential: The Role of Lactobacillus rhamnosus GG in Mental Health and Stress Response
Işık, M., Köse, F., Özbayer, C., Budak, Ö., KELEŞ, R., Güzel, D., Demirci, M. A., Doğanay, S., & Bağcı, C. (2025) · Probiotics and Antimicrobial Proteins · doi:10.1007/s12602-025-10470-0 · Cited by 19 · see citing works
Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research
Liu, M., Ma, W., He, Y., Sun, Z., & Yang, J. (2023) · Molecules · doi:10.3390/molecules28217430 · Cited by 18 · see citing works
“Metabolic disorders are considered to be an etiological factor in MDD, and metabolite analysis can certainly improve our understanding of the many pathological processes involved in MDD [5,6].”
Background
Phospholipidomics in Clinical Trials for Brain Disorders: Advancing our Understanding and Therapeutic Potentials
Hachem, M., Ahmmed, M. K., & Nacir, H. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03793-y · Cited by 18 · see citing works
Saikosaponin antidepressant mechanism: Improving the sphingolipid metabolism in the cortex via Apolipoprotein E and triggering neurovascular coupling
Song, Y., Lai, M., Liao, Z., Zhang, Z., Zhu, G., Yang, M., Ai, Z., Zheng, Q., & Su, D. (2024) · Phytomedicine · doi:10.1016/j.phymed.2024.155829 · Cited by 16 · see citing works
Screening for depression in the general population through lipid biomarkers
Tkachev, A., Stekolshchikova, E., Golubova, A., Serkina, A., Morozova, A. Y., Zorkina, Y., Riabinina, D., Golubeva, E., Ochneva, A., Savenkova, V., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105455 · Cited by 15 · see citing works
Retrospective evaluation of novel serum inflammatory biomarkers in first-episode psychiatric disorders: diagnostic potential and immune dysregulation
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Integrating serum metabolomics and network analysis to explore the antidepressant activity of crocin in rats with chronic unexpected mild stress-induced depression
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Additional file 1 of Impact of St. John’s wort extract Ze 117 on stress induced changes in the lipidome of PBMC
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Additional file 2 of Impact of St. John’s wort extract Ze 117 on stress induced changes in the lipidome of PBMC
Bussmann, H., Bremer, S., Häberlein, H., Boonen, G., Drewe, J., Butterweck, V., & Franken, S. (2024) · Figshare · doi:10.6084/m9.figshare.26581223
Additional file 3 of Impact of St. John’s wort extract Ze 117 on stress induced changes in the lipidome of PBMC
Bussmann, H., Bremer, S., Häberlein, H., Boonen, G., Drewe, J., Butterweck, V., & Franken, S. (2024) · Figshare · doi:10.6084/m9.figshare.26581226
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Authors: Pinto, B., Conde, T., Domingues, I., & Domingues, M. R.
Affiliations: Centro de Estudos do Ambiente e do Mar (PT)
Corresponding author: Domingues, M. Rosário
ORCID: Pinto, Bruno
Conde, Tiago
Domingues, Inês
Domingues, M. Rosário
Venue: International Journal of Molecular Sciences
Publisher: MDPI AG
Published: 2022-02-12
Volume: 23
Issue: 4
Pages: 2032
ISSN: 1422-0067 (ISSN-L)
DOI: 10.3390/ijms23042032
PMC: PMC8874755
OpenAlex: W4212930157
Cited by: 51
References: 105
Citations by year: 2026: 8 · 2025: 15 · 2024: 18 · 2023: 8 · 2022: 2
FWCI: 1.58
Type: journal article
Language: en
Open access: gold
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: International Journal of Molecular Sciences (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Universidade de Aveiro (UIDB/50006/2020, LA/P/0094/2020, UIDP/50017/2020, UIDP/50017/2020+UIDB/50017/2020, PT2020, UIDB/50017/2020)
Rede de Química e Tecnologia (LA/P/0094/2020, PT2020, UIDB/50006/2020)
Laboratório Associado para a Química Verde (UIDB/50017/2020, UIDB/50006/2020)
Centro de Estudos Ambientais e Marinhos, Universidade de Aveiro (UIDP/50017/2020 + UIDB/50017/2020 + LA/P/0094/2020, UIDP/50017/2020, 50017, UIDB / 50017/2020, LISBOA-01-0145-FEDER-402-022125, LA/P/0094/2020, UIDB/50006/2020, UIDP/50017/2020+UIDB/ 50017/2020, PT2020)
Fundação para a Ciência e a Tecnologia (2020.05678.BD, 01-0145, LISBOA-01-0145-FEDER- 402-022125, UIDP/50017/2020 + UIDB/50017/2020, PT2020, CESAM,UIDP/50017/2020, LA/P/0094/2020, UIDB/50017/2020+LA/P/0094/2020, UIDB/50017/2020, 2020.05678, UIDP/ 50017/2020 + UIDB/50017/2020 + LA/P/0094/2020, UIDP/50017/2020, UIDB/50006/2020, LISBOA-01-0145-FEDER)
Topics: Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Life Sciences › Neuroscience › Biological Psychiatry › Tryptophan and brain disorders
Keywords: major depressive disorder, lipidomics, biomarkers, antidepressant treatment, plasma lipids, brain lipids, animal models of depression, precision medicine, depression diagnosis
MeSH terms: Animals, Depression, Humans, Biomarkers, Oxidative Stress, Lipid Metabolism

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Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review

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