CoChat
Sign Up
Cited by 29

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Profiling Small RNA From Brain Extracellular Vesicles in Individuals With Depression

Ibrahim, Pascal, Denniston, Ryan, Mitsuhashi, Haruka, Yang, Jennie, Fiori, Laura M, Żurawek, Dariusz, Mechawar, Naguib, Nagy, Corina, Turecki, Gustavo·2024·International Journal of Neuropsychopharmacology
DOI 10.1093/ijnp/pyae013PMC PMC10946232
Open this paper in CoChat — free account

Abstract

Background: Major depressive disorder (MDD) is a leading cause of disability with significant mortality risk. Despite progress in our understanding of the etiology of MDD, the underlying molecular changes in the brain remain poorly understood. Extracellular vesicles (EVs) are lipid-bound particles that can reflect the molecular signatures of the tissue of origin. We aimed to optimize a streamlined EV isolation protocol from postmortem brain tissue and determine whether EV RNA cargo, particularly microRNAs (miRNAs), have an MDD-specific profile. Methods: EVs were isolated from postmortem human brain tissue. Quality was assessed using western blots, transmission electron microscopy, and microfluidic resistive pulse sensing. EV RNA was extracted and sequenced on Illumina platforms. Functional follow-up was performed in silico. Results: Quality assessment showed an enrichment of EV markers, as well as a size distribution of 30 to 200 nm in diameter, and no contamination with cellular debris. Small RNA profiling indicated the presence of several RNA biotypes, with miRNAs and transfer RNAs being the most prominent. Exploring miRNA levels between groups revealed decreased expression of miR-92a-3p and miR-129-5p, which was validated by qPCR and was specific to EVs and not seen in bulk tissue. Finally, in silico functional analyses indicate potential roles for these 2 miRNAs in neurotransmission and synaptic plasticity. Conclusion: We provide a streamlined isolation protocol that yields EVs of high quality that are suitable for molecular follow-up. Our findings warrant future investigations into brain EV miRNA dysregulation in MDD.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/ijnp/pyae013

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1. Schematic diagram representing study workflow. CTRL, control; F1, fraction 1; F2, fraction 2; MDD, major depressive disorder. Figure was created using BioRender.
Figure 1. Schematic diagram representing study workflow. CTRL, control; F1, fraction 1; F2, fraction 2; MDD, major depressive disorder. Figure was created using BioRender.CC BY · PubMed Central
Figure 2. Quality assessment of EV isolation. (A) Left: Representative stain-free image showing total protein loading for western blot. Right: Representative western blot for Calnexin, BiP, VDAC, CD9, and TSG101 in F1, F2, WB, and PC. (B) Average distribution of particle size from 20 subjects (5 M-CTRL, 5 M-MDD, 5 F-CTRL, 5 F-MDD). (C) Graph showing RNA biotype precent distribution in CTRL and MDD groups. (D) Top: Negative stain TEM images of F1. Bottom: TEM images of EVs immunolabelled with anti-CD81. White rectangles are a zoomed in image of labelled EVs, while white arrows indicate electron-dense gold particles, which are seen as black dots, labeling CD81 on the surface of EVs. Scale: red bar = 200 nm; black bar = 100 nm. F1, fraction 1 (EV fraction); F2, fraction 2 (protein fraction); LD, ladder; PC, pellet with collagenase; WB, whole brain homogenate.
Figure 2. Quality assessment of EV isolation. (A) Left: Representative stain-free image showing total protein loading for western blot. Right: Representative western blot for Calnexin, BiP, VDAC, CD9, and TSG101 in F1, F2, WB, and PC. (B) Average distribution of particle size from 20 subjects (5 M-CTRL, 5 M-MDD, 5 F-CTRL, 5 F-MDD). (C) Graph showing RNA biotype precent distribution in CTRL and MDD groups. (D) Top: Negative stain TEM images of F1. Bottom: TEM images of EVs immunolabelled with anti-CD81. White rectangles are a zoomed in image of labelled EVs, while white arrows indicate electron-dense gold particles, which are seen as black dots, labeling CD81 on the surface of EVs. Scale: red bar = 200 nm; black bar = 100 nm. F1, fraction 1 (EV fraction); F2, fraction 2 (protein fraction); LD, ladder; PC, pellet with collagenase; WB, whole brain homogenate.CC BY · PubMed Central
Figure 3. Comparative analysis of EV miRNAs in males and females. (A) Volcano plots showing altered miRNA expression for males (blue) and females (orange) at a cut-off of P value ≤ .05. (B) Correlation plots between normalized sequencing counts and qPCR expression of the 3 top miRNAs for males (blue) and females (orange). (C) Boxplots showing differences in normalized qPCR expression levels between CTRL and MDD for miR-129-5p in males and miR-92a-3p in females. (D) Correlation plots between normalized sequencing counts from bulk tissue from Fiori et al. (2021) and normalized sequencing counts from overlapping subjects. Results for miR-129-5p (blue) and miR-92a-3p (orange) are shown. CTRL, control; GEO, geometric; MDD, major depressive disorder; SEQ, sequencing.
Figure 3. Comparative analysis of EV miRNAs in males and females. (A) Volcano plots showing altered miRNA expression for males (blue) and females (orange) at a cut-off of P value ≤ .05. (B) Correlation plots between normalized sequencing counts and qPCR expression of the 3 top miRNAs for males (blue) and females (orange). (C) Boxplots showing differences in normalized qPCR expression levels between CTRL and MDD for miR-129-5p in males and miR-92a-3p in females. (D) Correlation plots between normalized sequencing counts from bulk tissue from Fiori et al. (2021) and normalized sequencing counts from overlapping subjects. Results for miR-129-5p (blue) and miR-92a-3p (orange) are shown. CTRL, control; GEO, geometric; MDD, major depressive disorder; SEQ, sequencing.CC BY · PubMed Central

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 88

  1. Andersen, 2004, Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets, Cancer Res, 64, 5245, 10.1158/0008-5472.CAN-04-0496 · DOI · Paper page
  2. Bahrini, 2015, Neuronal exosomes facilitate synaptic pruning by up-regulating complement factors in microglia, Sci Rep, 5, 7989, 10.1038/srep07989 · DOI
  3. Bakhti, 2011, Inhibition of myelin membrane sheath formation by oligodendrocyte-derived exosome-like vesicles, J Biol Chem, 286, 787, 10.1074/jbc.M110.190009 · DOI
  4. Banigan, 2013, Differential expression of exosomal microRNAs in prefrontal cortices of schizophrenia and bipolar disorder patients, PLoS One, 8, e48814, 10.1371/journal.pone.0048814 · DOI
  5. Basso, 2013, Mutant copper-zinc superoxide dismutase (SOD1) induces protein secretion pathway alterations and exosome release in astrocytes: implications for disease spreading and motor neuron pathology in amyotrophic lateral sclerosis, J Biol Chem, 288, 15699, 10.1074/jbc.M112.425066 · DOI
  6. Batagov, 2013, Exosomes secreted by human cells transport largely mRNA fragments that are enriched in the 3’-untranslated regions, Biol Direct, 8, 12, 10.1186/1745-6150-8-12 · DOI
  7. Beurel, 2020, The bidirectional relationship of depression and inflammation: double trouble, Neuron, 107, 234, 10.1016/j.neuron.2020.06.002 · DOI · Paper page
  8. Blair, 2012, PTEN: a new player controlling structural and functional synaptic plasticity, J Physiol, 590, 1017, 10.1113/jphysiol.2012.227868 · DOI
  9. Bressler, 2021, Depletion of eukaryotic initiation factor 5B (eIF5B) reprograms the cellular transcriptome and leads to activation of endoplasmic reticulum (ER) stress and c-Jun N-terminal kinase (JNK), Cell Stress Chaperones, 26, 253, 10.1007/s12192-020-01174-1 · DOI
  10. Buran, 2017, Treatment with TREK1 and TRPC3/6 ion channel inhibitors upregulates microRNA expression in a mouse model of chronic mild stress, Neurosci Lett, 656, 51, 10.1016/j.neulet.2017.07.017 · DOI
  11. Chang, 2013, Exosomes of BV-2 cells induced by alpha-synuclein: important mediator of neurodegeneration in PD, Neurosci Lett, 548, 190, 10.1016/j.neulet.2013.06.009 · DOI
  12. Chang, 2021, MiR-129-5p prevents depressive-like behaviors by targeting MAPK1 to suppress inflammation, Exp Brain Res, 239, 3359, 10.1007/s00221-021-06203-8 · DOI
  13. Chen, 2021, Prognostic plasma exosomal microRNA biomarkers in patients with substance use disorders presenting comorbid with anxiety and depression, Sci Rep, 11, 6271, 10.1038/s41598-021-84501-5 · DOI
  14. Chen, 2021, Mechanism of cargo sorting into small extracellular vesicles, Bioengineered, 12, 8186, 10.1080/21655979.2021.1977767 · DOI
  15. Colombo, 2014, Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles, Annu Rev Cell Dev Biol, 30, 255, 10.1146/annurev-cellbio-101512-122326 · DOI · Paper page
  16. Crescitelli, 2021, Isolation and characterization of extracellular vesicle subpopulations from tissues, Nat Protoc, 16, 1548, 10.1038/s41596-020-00466-1 · DOI
  17. Dobricic, 2022, Common signatures of differential microRNA expression in Parkinson’s and Alzheimer’s disease brains, Brain Commun, 4, fcac274, 10.1093/braincomms/fcac274 · DOI · Paper page
  18. Du, 2019, Genome-wide, integrative analysis implicates exosome-derived microrna dysregulation in schizophrenia, Schizophr Bull, 45, 1257, 10.1093/schbul/sby191 · DOI
  19. Dumais, 2005, Is violent method of suicide a behavioral marker of lifetime aggression, Am J Psychiatry, 162, 1375, 10.1176/appi.ajp.162.7.1375 · DOI
  20. Fujiwara, 2022, MicroRNA-92a promotes CNS autoimmunity by modulating the regulatory and inflammatory T cell balance, J Clin Invest, 132, e155693, 10.1172/JCI155693 · DOI
  21. Gabrielli, 2015, Active endocannabinoids are secreted on extracellular membrane vesicles, EMBO Rep, 16, 213, 10.15252/embr.201439668 · DOI · Paper page
  22. Gardiner, 2016, Techniques used for the isolation and characterization of extracellular vesicles: results of a worldwide survey, J Extracell Vesicles, 5, 32945, 10.3402/jev.v5.32945 · DOI
  23. Giraldez, 2018, Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling, Nat Biotechnol, 36, 746, 10.1038/nbt.4183 · DOI · Paper page
  24. Glaesel, 2020, MiR-129-5p and miR-130a-3p regulate VEGFR-2 expression in sensory and motor neurons during development, Int J Mol Sci, 21, 3839, 10.3390/ijms21113839 · DOI
  25. Goetzl, 2021, Abnormal levels of mitochondrial proteins in plasma neuronal extracellular vesicles in major depressive disorder, Mol Psychiatry, 26, 7355, 10.1038/s41380-021-01268-x · DOI
  26. Gross, 2014, Neuron-specific regulation of class I PI3K catalytic subunits and their dysfunction in brain disorders, Front Mol Neurosci, 7, 12, 10.3389/fnmol.2014.00012 · DOI · Paper page
  27. Gupta, 2022, Integrative analysis of OIP5-AS1/miR-129-5p/CREBBP axis as a potential therapeutic candidate in the pathogenesis of metal toxicity-induced Alzheimer’s disease, Gene Rep, 26, 101442, 10.1016/j.genrep.2021.101442 · DOI
  28. Hawley, 2020, MiR-129-5p: a novel therapeutic target for amyotrophic lateral sclerosis, Noncod RNA Investig, 4, 7, 10.21037/ncri-20-5 · DOI
  29. He, 2017, Age-related frontal periventricular white matter hyperintensities and miR-92a-3p are associated with early-onset post-stroke depression, Front Aging Neurosci, 9, 328, 10.3389/fnagi.2017.00328 · DOI
  30. He, 2020, MicroRNA-92a-3p enhances functional recovery and suppresses apoptosis after spinal cord injury via targeting phosphatase and tensin homolog, Biosci Rep, 40, 10.1042/BSR20192743 · DOI
  31. Hessvik, 2018, Current knowledge on exosome biogenesis and release, Cell Mol Life Sci, 75, 193, 10.1007/s00018-017-2595-9 · DOI · Paper page
  32. Hodes, 2017, Understanding the epigenetic basis of sex differences in depression, J Neurosci Res, 95, 692, 10.1002/jnr.23876 · DOI
  33. Huang, 2017, The link between long noncoding RNAs and depression, Prog Neuropsychopharmacol Biol Psychiatry, 73, 73, 10.1016/j.pnpbp.2016.06.004 · DOI
  34. Huang, 2006, CPEB3 and CPEB4 in neurons: analysis of RNA-binding specificity and translational control of AMPA receptor GluR2 mRNA, EMBO J, 25, 4865, 10.1038/sj.emboj.7601322 · DOI
  35. Iguchi, 2016, Exosome secretion is a key pathway for clearance of pathological TDP-43, Brain, 139, 3187, 10.1093/brain/aww237 · DOI · Paper page
  36. Ji, 2023, Exposure to enriched environment ameliorated chronic unpredictable mild stress-induced depression-like symptoms in rats via regulating the miR-92a-3p/kruppel-like factor 2 (KLF2) pathway, Brain Res Bull, 195, 14, 10.1016/j.brainresbull.2023.01.002 · DOI
  37. Jin, 2016, MiR-17-92 cluster regulates adult hippocampal neurogenesis, anxiety, and depression, Cell Rep, 16, 1653, 10.1016/j.celrep.2016.06.101 · DOI
  38. Kodama, 2020, Microglial microRNAs mediate sex-specific responses to tau pathology, Nat Neurosci, 23, 167, 10.1038/s41593-019-0560-7 · DOI · Paper page
  39. Konoshenko, 2018, Isolation of extracellular vesicles: general methodologies and latest trends, Biomed Res Int, 2018, 8545347, 10.1155/2018/8545347 · DOI
  40. Krispil-Alon, 2022, Sex-specific roles of hippocampal microRNAs in stress vulnerability and resilience, Transl Psychiatry, 12, 503, 10.1038/s41398-022-02267-4 · DOI
  41. Lai, 2022, exoRBase 2.0: an atlas of mRNA, lncRNA and circRNA in extracellular vesicles from human biofluids, Nucleic Acids Res, 50, D118, 10.1093/nar/gkab1085 · DOI
  42. Letellier, 2014, MiR-92a regulates expression of synaptic GluA1-containing AMPA receptors during homeostatic scaling, Nat Neurosci, 17, 1040, 10.1038/nn.3762 · DOI · Paper page
  43. Li, 2017, Correcting miR92a-vGAT-mediated GABAergic dysfunctions rescues human Tau-induced anxiety in mice, Mol Ther, 25, 140, 10.1016/j.ymthe.2016.10.010 · DOI
  44. Li, 2020, Circular RNA in schizophrenia and depression, Front Psychiatry, 11, 392, 10.3389/fpsyt.2020.00392 · DOI
  45. Lin, 2021, Circular RNA circCCNT2 is upregulated in the anterior cingulate cortex of individuals with bipolar disorder, Transl Psychiatry, 11, 629, 10.1038/s41398-021-01746-4 · DOI
  46. Linares, 2015, High-speed centrifugation induces aggregation of extracellular vesicles, J Extracell Vesicles, 4, 29509, 10.3402/jev.v4.29509 · DOI
  47. Liu, 2017, MicroRNA-129-5p inhibits the development of autoimmune encephalomyelitis-related epilepsy by targeting HMGB1 through the TLR4/NF-kB signaling pathway, Brain Res Bull, 132, 139, 10.1016/j.brainresbull.2017.05.004 · DOI
  48. Loffreda, 2020, MiR-129-5p: a key factor and therapeutic target in amyotrophic lateral sclerosis, Prog Neurobiol, 190, 101803, 10.1016/j.pneurobio.2020.101803 · DOI
  49. Lutz, 2017, Association of a history of child abuse with impaired myelination in the anterior cingulate cortex: convergent epigenetic, transcriptional, and morphological evidence, Am J Psychiatry, 174, 1185, 10.1176/appi.ajp.2017.16111286 · DOI · Paper page
  50. Ma, 2018, Identification of miR-22-3p, miR-92a-3p, and miR-137 in peripheral blood as biomarker for schizophrenia, Psychiatry Res, 265, 70, 10.1016/j.psychres.2018.03.080 · DOI
  51. Meyers, 2017, TGF-beta family signaling in neural and neuronal differentiation, development, and function, Cold Spring Harb Perspect Biol, 9, a022244, 10.1101/cshperspect.a022244 · DOI
  52. Morgan, 2010, CPEB2, CPEB3 and CPEB4 are coordinately regulated by miRNAs recognizing conserved binding sites in paralog positions of their 3’-UTRs, Nucleic Acids Res, 38, 7698, 10.1093/nar/gkq635 · DOI · Paper page
  53. Morhayim, 2017, Molecular characterization of human osteoblast-derived extracellular vesicle mRNA using next-generation sequencing, Biochim Biophys Acta Mol Cell Res, 1864, 1133, 10.1016/j.bbamcr.2017.03.011 · DOI
  54. Mulcahy, 2014, Routes and mechanisms of extracellular vesicle uptake, J Extracell Vesicles, 4, 3
  55. Munoz-Llanos, 2018, MicroRNA profiling and bioinformatics target analysis in dorsal hippocampus of chronically stressed rats: relevance to depression pathophysiology, Front Mol Neurosci, 11, 251, 10.3389/fnmol.2018.00251 · DOI
  56. Pascua-Maestro, 2018, Extracellular vesicles secreted by astroglial cells transport apolipoprotein D to neurons and mediate neuronal survival upon oxidative stress, Front Cell Neurosci, 12, 526, 10.3389/fncel.2018.00526 · DOI
  57. Pena-Bautista, 2022, Plasma microRNAs as potential biomarkers in early Alzheimer disease expression, Sci Rep, 12, 15589, 10.1038/s41598-022-19862-6 · DOI
  58. Perez-Boza, 2018, Exploring the RNA landscape of endothelial exosomes, RNA, 24, 423, 10.1261/rna.064352.117 · DOI
  59. Qinlin, 2022, MiR-129-5p targets FEZ1/SCOC/ULK1/NBR1 complex to restore neuronal function in mice with post-stroke depression, Bioengineered, 13, 9708, 10.1080/21655979.2022.2059910 · DOI
  60. Qinlin, 2022, Differential expression analysis of microRNAs and mRNAs in the mouse hippocampus of post-stroke depression (PSD) based on transcriptome sequencing, Bioengineered, 13, 3582, 10.1080/21655979.2022.2027061 · DOI
  61. Ragan, 2017, Small non-coding RNA expression from anterior cingulate cortex in schizophrenia shows sex specific regulation, Schizophr Res, 183, 82, 10.1016/j.schres.2016.11.024 · DOI
  62. Rajendran, 2006, Alzheimer’s disease beta-amyloid peptides are released in association with exosomes, Proc Natl Acad Sci U S A, 103, 11172, 10.1073/pnas.0603838103 · DOI · Paper page
  63. Rajman, 2017, A microRNA-129-5p/Rbfox crosstalk coordinates homeostatic downscaling of excitatory synapses, EMBO J, 36, 1770, 10.15252/embj.201695748 · DOI · Paper page
  64. Sadik, 2018, Extracellular RNAs: A new awareness of old perspectives, Methods Mol Biol, 1740, 1, 10.1007/978-1-4939-7652-2_1 · DOI
  65. Saeedi, 2021, Neuron-derived extracellular vesicles enriched from plasma show altered size and miRNA cargo as a function of antidepressant drug response, Mol Psychiatry, 26, 7417, 10.1038/s41380-021-01255-2 · DOI
  66. Schumann, 2017, Possible sexually dimorphic role of miRNA and other sncRNA in ASD brain, Mol Autism, 8, 4, 10.1186/s13229-017-0117-0 · DOI
  67. Siedlecki-Wullich, 2019, Altered microRNAs related to synaptic function as potential plasma biomarkers for Alzheimer’s disease, Alzheimers Res Ther, 11, 46, 10.1186/s13195-019-0501-4 · DOI
  68. Srinivasan, 2019, Small RNA sequencing across diverse biofluids identifies optimal methods for exRNA isolation, Cell, 177, 446, 10.1016/j.cell.2019.03.024 · DOI
  69. Stuendl, 2016, Induction of alpha-synuclein aggregate formation by CSF exosomes from patients with Parkinson’s disease and dementia with Lewy bodies, Brain, 139, 481, 10.1093/brain/awv346 · DOI · Paper page
  70. Taguchi, 2018, Exploring microRNA biomarkers for Parkinson’s disease from mRNA expression profiles, Cells, 7, 245, 10.3390/cells7120245 · DOI
  71. Trivedi, 2022, Identification of Hsa-miR-92a-3p as a novel biomarker and PIK3R1 as a key regulatory gene to combat with the diagnostic patterns of autism spectrum disorders, Mater Today Proc, 10.1016/j.matpr.2022.12.042 · DOI
  72. Trujillo-Gonzalez, 2019, MicroRNA-129-5p is regulated by choline availability and controls EGF receptor synthesis and neurogenesis in the cerebral cortex, FASEB J, 33, 3601, 10.1096/fj.201801094RR · DOI
  73. Tsilioni, 2018, Extracellular vesicles are increased in the serum of children with autism spectrum disorder, contain mitochondrial DNA, and stimulate human microglia to secrete IL-1beta, J Neuroinflammation, 15, 239, 10.1186/s12974-018-1275-5 · DOI
  74. Valadi, 2007, Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells, Nat Cell Biol, 9, 654, 10.1038/ncb1596 · DOI · Paper page
  75. Vella, 2017, A rigorous method to enrich for exosomes from brain tissue, J Extracell Vesicles, 6, 1348885, 10.1080/20013078.2017.1348885 · DOI
  76. Videtic Paska, 2022, Suicide and changes in expression of neuronal miRNA predicted by an algorithm search through miRNA databases, Genes (Basel), 13, 562, 10.3390/genes13040562 · DOI
  77. Wan, 2020, LncRNA NEAT1 affects inflammatory response by targeting miR-129-5p and regulating Notch signaling pathway in epilepsy, Cell Cycle, 19, 419, 10.1080/15384101.2020.1711578 · DOI
  78. Wang, 2012, Astrocytes secrete exosomes enriched with proapoptotic ceramide and prostate apoptosis response 4 (PAR-4): Potential mechanism of apoptosis induction in Alzheimer disease (AD), J Biol Chem, 287, 21384, 10.1074/jbc.M112.340513 · DOI
  79. Wang, 2021, Plasma exosomes from depression ameliorate inflammation-induced depressive-like behaviors via sigma-1 receptor delivery, Brain Behav Immun, 94, 225, 10.1016/j.bbi.2021.02.004 · DOI
  80. World Health Organization, 2021, Institute of Health Metrics and Evaluation
  81. Wu, 2019, MicroRNA-129 modulates neuronal migration by targeting Fmr1 in the developing mouse cortex, Cell Death Dis, 10, 287, 10.1038/s41419-019-1517-1 · DOI
  82. Yasir, 2022, Evaluation the protective effect of zinc supplementation on depression and Mir 129-GPR39 gene expression in the hippocampus of diabetic rat, Tob Regul Sci, 8, 573
  83. Yeri, 2018, Evaluation of commercially available small RNASeq library preparation kits using low input RNA, BMC Genomics, 19, 331, 10.1186/s12864-018-4726-6 · DOI
  84. Yoshino, 2020, Non-coding RNAs in psychiatric disorders and suicidal behavior, Front Psychiatry, 11, 543893, 10.3389/fpsyt.2020.543893 · DOI
  85. Zhang, 2016, Clinical predictor and circulating microRNA profile expression in patients with early onset post-stroke depression, J Affect Disord, 193, 51, 10.1016/j.jad.2015.12.061 · DOI
  86. Zhou, 2022, A new perspective on depression and neuroinflammation: non-coding RNA, J Psychiatr Res, 148, 293, 10.1016/j.jpsychires.2022.02.007 · DOI
  87. Zongaro, 2013, The 3’ UTR of FMR1 mRNA is a target of miR-101, miR-129-5p and miR-221: implications for the molecular pathology of FXTAS at the synapse, Hum Mol Genet, 22, 1971, 10.1093/hmg/ddt044 · DOI
  88. Żurawek, 2021, The miRNome of depression, Int J Mol Sci, 22, 11312, 10.3390/ijms222111312 · DOI

Cited by

Sorted by citations

See all 29

Metadata

Authors
Ibrahim, P., Denniston, R., Mitsuhashi, H., Yang, J., Fiori, L. M., Żurawek, D., Mechawar, N., Nagy, C., & Turecki, G.
Affiliations
  • Integrated Program in Neuroscience, McGill University , Montreal, Quebec , Canada
  • McGill Group for Suicide Studies, Douglas Mental Health University Institute , Verdun, Quebec , Canada
ORCID
Venue
International Journal of Neuropsychopharmacology
Publisher
Oxford University Press (OUP)
Published
2024-03-01
Volume
27
Issue
3
ISSN
  • 1461-1457
  • 1469-5111
DOI
10.1093/ijnp/pyae013
PMC
PMC10946232
Cited by
29
References
5
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor, 7 d)
Funders
Canadian Institute of Health Research (FDN148374, ENP161427)

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