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Dynamic immune and metabolic dysregulation in women with post-traumatic stress disorder: Longitudinal transcriptomic insights following sexual assault

Abstract

Post-traumatic stress disorder (PTSD) is a chronic and debilitating psychiatric condition, and sexual assault represents the leading risk factor for PTSD in women, with up to 50% of survivors developing the disorder. However, most transcriptomic studies have focused on male military veterans, limiting insight into the molecular mechanisms underlying PTSD in women. We conducted a longitudinal RNA sequencing study of blood samples from 65 women with PTSD and 65 healthy controls (HC). One-year follow-up assessments were performed in 35 PTSD participants after completion of treatment with either sertraline or Interpersonal Psychotherapy adapted for PTSD (IPT-PTSD), and in 12 HC participants, who did not receive treatment but were reassessed for longitudinal comparison of transcriptomic profiles. Differential gene expression analyses were conducted across diagnostic groups (PTSD vs HC), symptom trajectories (persistent vs remitting), and treatment arms (sertraline vs IPT-PTSD), using both cross-sectional and longitudinal designs. Pathway enrichment and co-expression network analyses were performed to identify dysregulated biological processes and gene modules. At baseline, women with PTSD exhibited downregulation of immune-related pathways and upregulation of erythropoietic and metabolic processes compared to HC, consistent with systemic immune suppression and compensatory transcriptomic adaptations. Persistent PTSD was characterized by sustained immune suppression, dysregulated apoptotic signaling, and elevated mitochondrial activity, whereas the remitting trajectory showed upregulation of immune response and cell communication pathways, suggesting partial immune restoration. Comparing PTSD cases at baseline and after one year of treatment, both sertraline and IPT-PTSD were associated with overlapping transcriptomic changes, suggesting shared molecular mechanisms. Overall, this study reveals dynamic peripheral transcriptomic dysregulation in women with PTSD. Although we cannot fully disentangle whether these changes reflect the disorder itself or traumatic exposure, our findings identify molecular signatures of symptom persistence, remission, and treatment response, supporting the potential utility of transcriptomic biomarkers to inform therapeutic strategies.

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Fig. 1: Heatmap of the top 30 genes from the cross-sectional comparison between individuals with PTSD and healthy controls (HC) at baseline.
The alternative text for this image may have been generated using AI.
Fig. 2: Transcriptomic profiles of women with PTSD compared to healthy controls (HC) at baseline.
The alternative text for this image may have been generated using AI.
Fig. 3: Gene set enrichment analysis (GSEA) of Gene Ontology Biological Process (GO:BP) terms across PTSD symptom trajectories.
The alternative text for this image may have been generated using AI.
Fig. 4: Longitudinal co-expression and enrichment analyses of gene expression changes in PTSD.
The alternative text for this image may have been generated using AI.

Data availability

The RNA sequencing data generated in this study have been deposited in the Gene Expression Omnibus (GEO) under accession number GSE318733. The dataset is currently available for review using the following access token: qpenyoiyvxqrdav. The data will be made publicly available upon publication.

References

  1. White J, Pearce J, Morrison S, Dunstan F, Bisson JI, Fone DL. Risk of post-traumatic stress disorder following traumatic events in a community sample. Epidemiol Psychiatr Sci. 2014;24:249–57.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–602.

    Article  PubMed  Google Scholar 

  3. American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Washington, DC: American Psychiatric Association; 2013.

    Book  Google Scholar 

  4. Costa RR Brasil tem cerca de 822 mil casos de estupro a cada ano, dois por minuto. Instituto de Pesquisa Econômica Aplicada (IPEA). 2023. Available from: https://www.ipea.gov.br/portal/categorias/45-todas-as-noticias/noticias/13541-brasil-tem-cerca-de-822-mil-casos-de-estupro-a-cada-ano-dois-por-minuto.

  5. O Globo. Uma mulher sofre violência sexual no país a cada 46 minutos, diz estudo; vítimas mais frequentes têm de 10 a 14 anos. 2024 Jun 18. Available from: https://oglobo.globo.com/brasil/noticia/2024/06/18/uma-mulher-e-estuprada-no-pais-a-cada-46-minutos-indica-atlas-da-violencia-vitimas-mais-frequentes-tem-de-10-a-14-anos.ghtml.

  6. Agência Brasil. Pesquisa aponta alta nos números de violência contra mulheres no país. 2025 Mar. Available from: https://agenciabrasil.ebc.com.br/radioagencia-nacional/direitos-humanos/audio/2025-03/pesquisa-aponta-alta-nos-numeros-de-violencia-contra-mulheres-no-pais.

  7. Tolin DF, Foa EB. Sex differences in trauma and posttraumatic stress disorder: a quantitative review of 25 years of research. Psychol Bull. 2006;132:959–92.

    Article  PubMed  Google Scholar 

  8. Kimerling R, Allen MC, Duncan LE. Chromosomes to social contexts: sex and gender differences in PTSD. Curr Psychiatry Rep. 2018;20:114.

    Article  PubMed  Google Scholar 

  9. Krupnick JL. Gender differences in trauma types and themes in veterans with posttraumatic stress disorder. J Loss Trauma. 2017;22:514–25.

    Article  Google Scholar 

  10. Sareen J. Posttraumatic stress disorder in adults: impact, comorbidity, risk factors, and treatment. Can J Psychiatry. 2014;59:460–7.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Du J, Diao H, Zhou X, Zhang C, Chen Y, Gao Y, et al. Post-traumatic stress disorder: a psychiatric disorder requiring urgent attention. Med Rev. 2021;2:219–43.

    Article  Google Scholar 

  12. Koenen KC, Nugent NR, Amstadter AB. Gene-environment interaction in posttraumatic stress disorder. Eur Arch Psychiatry Clin Neurosci. 2008;258:82–96.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Mehta D, Binder EB. Gene × environment vulnerability factors for PTSD: the HPA-axis. Neuropharmacology. 2012;62:654–62.

    Article  CAS  PubMed  Google Scholar 

  14. Kremen WS, Koenen KC, Afari N, Lyons MJ. Twin studies of posttraumatic stress disorder: differentiating vulnerability factors from sequelae. Neuropharmacology. 2012;62:647–53.

    Article  CAS  PubMed  Google Scholar 

  15. Wolf EJ, Miller MW, Sullivan DR, Amstadter AB, Mitchell KS, Goldberg J, et al. A classical twin study of PTSD symptoms and resilience: evidence for a single spectrum of vulnerability to traumatic stress. Depress Anxiety. 2018;35:132–9.

    Article  CAS  PubMed  Google Scholar 

  16. Koenen KC, Fu QJ, Ertel K, Lyons MJ, Eisen SA, True WR, et al. Common genetic liability to major depression and posttraumatic stress disorder in men. J Affect Disord. 2008;105:109–15.

    Article  PubMed  Google Scholar 

  17. Tambs K, Czajkowsky N, Røysamb E, Neale MC, Reichborn-Kjennerud T, Aggen SH, et al. Structure of genetic and environmental risk factors for dimensional representations of DSM-IV anxiety disorders. Br J Psychiatry. 2009;195:301–7.

    Article  PubMed  PubMed Central  Google Scholar 

  18. True WR, Rice J, Eisen SA, Heath AC, Goldberg J, Lyons MJ, et al. A twin study of genetic and environmental contributions to liability for posttraumatic stress symptoms. Arch Gen Psychiatry. 1993;50:257–64.

    Article  CAS  PubMed  Google Scholar 

  19. Stein MB, Jang KL, Taylor S, Vernon PA, Livesley WJ. Genetic and environmental influences on trauma exposure and posttraumatic stress disorder symptoms: a twin study. Am J Psychiatry. 2002;159:1675–81.

    Article  PubMed  Google Scholar 

  20. Olff M. Sex and gender differences in post-traumatic stress disorder: an update. Eur J Psychotraumatol. 2017;8:1351204.

    Article  PubMed Central  Google Scholar 

  21. Nievergelt CM, Maihofer AX, Atkinson EG, Chen CY, Choi KW, Coleman JRI, et al. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. Nat Genet. 2024;56:792–808.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Girgenti MJ, Wang J, Ji D, Cruz DA, Traumatic Stress Brain Research Group, Stein MB, et al. Transcriptomic organization of the human brain in post-traumatic stress disorder. Nat Neurosci. 2021;24:24–33.

    Article  CAS  PubMed  Google Scholar 

  23. Chatzinakos C, Pernia CD, Morrison FG, Iatrou A, McCullough KM, Schuler H, et al. Single-nucleus transcriptome profiling of dorsolateral prefrontal cortex: mechanistic roles for neuronal gene expression, including the 17q21.31 locus, in PTSD stress response. Am J Psychiatry. 2023;180:739–54.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Tylee DS, Chandler SD, Nievergelt CM, Liu X, Pazol J, Woelk CH, et al. Blood-based gene-expression biomarkers of post-traumatic stress disorder among deployed marines: a pilot study. Psychoneuroendocrinology. 2015;51:472–94.

    Article  CAS  PubMed  Google Scholar 

  25. Dahrendorff J, Wani AH, Keller TE, Armstrong D, Qu A, Wildman DE, et al. Analysis of posttraumatic stress disorder gene expression profiles in a prospective, community-based cohort. Hum Biol. 2023;95:33–47. https://doi.org/10.1353/hub.2017.a935047.

  26. Kuan PF, Yang X, Ren X, Che C, Waszczuk MA, Kotov R, et al. Mapping the transcriptomics landscape of post-traumatic stress disorder symptom dimensions in World Trade Center responders. Transl Psychiatry. 2021;11:1–9.

    Article  Google Scholar 

  27. Katrinli S, Oliveira NCS, Felger JC, Michopoulos V, Smith AK. The role of the immune system in posttraumatic stress disorder. Transl Psychiatry. 2022;12:313.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Logue MW, Smith AK, Baldwin C, Wolf EJ, Guffanti G, Ratanatharathorn A, et al. An analysis of gene expression in PTSD implicates genes involved in the glucocorticoid receptor pathway and neural responses to stress. Psychoneuroendocrinology. 2015;57:1–13.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Gill JM, Saligan L, Woods S, Page G. PTSD is associated with an excess of inflammatory immune activities. Perspect Psychiatr Care. 2009;45:262–77.

    Article  PubMed  Google Scholar 

  30. Kmita H, Pinna G, Lushchak VI. Potential oxidative stress-related targets of mitochondria-focused therapy of PTSD. Front Physiol. 2023;14:1266575 https://www.frontiersin.org/articles/10.3389/fphys.2023.1266575/full Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  31. Zhang L, Li H, Hu X, Benedek DM, Fullerton CS, Forsten RD, et al. Mitochondria-focused gene expression profile reveals common pathways and CPT1B dysregulation in both rodent stress model and human subjects with PTSD. Transl Psychiatry. 2015;5:e580.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Su YA, Wu J, Zhang L, Zhang Q, Su DM, He P, et al. Dysregulated mitochondrial genes and networks with drug targets in postmortem brain of patients with posttraumatic stress disorder revealed by human mitochondria-focused cDNA microarrays. Int J Biol Sci. 2008;4:223–35.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Panzenhagen AC, Alves-Teixeira A, Wissmann MS, Girardi CS, Santos L, Silveira AK, et al. Peripheral blood as a tool to determine gene expression patterns in patients with psychiatric, neurological and other common disorders: a systematic review and meta-analysis protocol. medRxiv. 2019. [Preprint]. Available from: https://www.medrxiv.org/content/10.1101/19007633v1.

  34. Hernandez LM, Kim M, Hoftman GD, Haney JR, Ubieta L, de la T, Pasaniuc B, et al. Transcriptomic insight into the polygenic mechanisms underlying psychiatric disorders. Biol Psychiatry. 2021;89:54–64.

    Article  CAS  PubMed  Google Scholar 

  35. Segman RH, Shefi N, Goltser-Dubner T, Friedman N, Kaminski N, Shalev AY. Peripheral blood mononuclear cell gene expression profiles identify emergent post-traumatic stress disorder among trauma survivors. Mol Psychiatry. 2005;10:425–36.

    Article  PubMed  Google Scholar 

  36. Alway Y, Gould KR, McKay A, Johnston L, Ponsford J. The evolution of post-traumatic stress disorder following moderate-to-severe traumatic brain injury. J Neurotrauma. 2016;33:825–31.

    Article  PubMed  Google Scholar 

  37. Lori A, Schultebraucks K, Galatzer-Levy I, Daskalakis NP, Katrinli S, Smith AK, et al. Transcriptome-wide association study of post-trauma symptom trajectories identified GRIN3B as a potential biomarker for PTSD development. Neuropsychopharmacology. 2021;46:1811–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Rusch HL, Robinson J, Yun S, Osier ND, Martin C, Brewin CR, et al. Gene expression differences in PTSD are uniquely related to the intrusion symptom cluster: a transcriptome-wide analysis in military service members. Brain Behav Immun. 2019;80:904–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Núñez-Rios DL, Martínez-Magaña JJ, Nagamatsu ST, Krystal JH, Martínez-González KG, Giusti-Rodríguez P, et al. Cross-species convergence of brain transcriptomic and epigenomic findings in posttraumatic stress disorder: a systematic review. Complex Psychiatry. 2023;9:100–18.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Olff M, Langeland W, Draijer N, Gersons BPR. Gender differences in posttraumatic stress disorder. Psychol Bull. 2007;133:183–204.

    Article  PubMed  Google Scholar 

  41. Kuan PF, Waszczuk MA, Kotov R, Clouston S, Yang X, Singh PK, et al. Gene expression associated with PTSD in World Trade Center responders: an RNA sequencing study. Transl Psychiatry. 2017;7:1297.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Stark R, Grzelak M, Hadfield J. RNA sequencing: the teenage years. Nat Rev Genet. 2019;20:631–56.

    Article  CAS  PubMed  Google Scholar 

  43. Zhao S, Fung-Leung WP, Bittner A, Ngo K, Liu X. Comparison of RNA-seq and microarray in transcriptome profiling of activated T cells. PLoS One. 2014;9:e78644.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Coimbra BM, Yeh M, D’Elia AT, Maciel MR, Carvalho CM, Milani AC, et al. Posttraumatic stress disorder and neuroprogression in women following sexual assault: protocol for a randomized clinical trial evaluating allostatic load and aging process acceleration. JMIR Res Protoc. 2020;9:e19162.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Amorim P. Mini international neuropsychiatric interview (MINI): validation of a short structured diagnostic interview. Braz J Psychiatry. 2000;22:106–15.

    Article  Google Scholar 

  46. Oliveira-Watanabe TT, Ramos-Lima LF, Zylberstajn C, Calsavara V, Coimbra BM, Maciel MR, et al. Validation of the Brazilian-Portuguese version of the Clinician-Administered PTSD Scale for DSM-5. Front Psychiatry. 2021;12:614735.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Proença CR, Markowitz JC, Coimbra BM, Cogo-Moreira H, Maciel MR, Mello AF, et al. Interpersonal psychotherapy versus sertraline for women with posttraumatic stress disorder following recent sexual assault: a randomized clinical trial. Eur J Psychotraumatol. 2022;13:2127474.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Babraham Bioinformatics. FastQC: a quality control tool for high throughput sequence data [software]. Cambridge (UK): Babraham Institute. Available from: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/.

  49. Bray NL, Pimentel H, Melsted P, Pachter L. Near-optimal probabilistic RNA-seq quantification. Nat Biotechnol. 2016;34:525–7.

    Article  CAS  PubMed  Google Scholar 

  50. Soneson C, Love MI, Robinson MD. Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences. F1000Res. 2015;4:1521 https://bioconductor.org/packages/tximport/ Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  51. Durinck S, Moreau Y, Kasprzyk A, Davis S, De Moor B, Brazma A, et al. BioMart and Bioconductor: a powerful link between biological databases and microarray data analysis. Bioinformatics. 2005;21:3439–40.

    Article  CAS  PubMed  Google Scholar 

  52. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550 https://bioconductor.org/packages/DESeq2/ Available from:

    Article  PubMed  PubMed Central  Google Scholar 

  53. Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43:e47.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;9:559.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA. 2005;102:15545–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. The Gene Ontology Consortium. The Gene Ontology resource: 20 years and still GOing strong. Nucleic Acids Res. 2019;47:D330–8.

    Article  Google Scholar 

  57. Ogata H, Goto S, Sato K, Fujibuchi W, Bono H, Kanehisa M. KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999;27:29–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Croft D, O’Kelly G, Wu G, Haw R, Gillespie M, Matthews L, et al. Reactome: a database of reactions, pathways and biological processes. Nucleic Acids Res. 2011;39:D691–7.

    Article  CAS  PubMed  Google Scholar 

  59. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16:284–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Kolde R pheatmap: Pretty Heatmaps [software]. Version 1.0.12. 2019. Available from: https://CRAN.R-project.org/package=pheatmap.

  61. Yu G enrichplot: visualization of functional enrichment results [software]. Available from: https://bioconductor.org/packages/enrichplot/.

  62. Zuo L, Prather ER, Stetskiv M, Garrison DE, Meade JR, Peace TI, et al. Inflammaging and oxidative stress in human diseases: from molecular mechanisms to novel treatments. Int J Mol Sci. 2019;20:4472.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Muhie S, Gautam A, Yang R, Misganaw B, Daigle BJ, Mellon SH, et al. Molecular signatures of post-traumatic stress disorder in war-zone-exposed veteran and active-duty soldiers. Cell Rep Med. 2023;4:101045.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Kuan PF, Yang X, Clouston S, Ren X, Kotov R, Waszczuk M, et al. Cell type-specific gene expression patterns associated with posttraumatic stress disorder in World Trade Center responders. Transl Psychiatry. 2019;9:1–11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Breen MS, Maihofer AX, Glatt SJ, Tylee DS, Chandler SD, Tsuang MT, et al. Gene networks specific for innate immunity define post-traumatic stress disorder. Mol Psychiatry. 2015;20:1538–45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  66. Hori H, Yoshida F, Itoh M, Lin M, Niwa M, Ino K, et al. Proinflammatory status-stratified blood transcriptome profiling of civilian women with PTSD. Psychoneuroendocrinology. 2020;111:104491.

    Article  CAS  PubMed  Google Scholar 

  67. Lee DH, Lee JY, Hong DY, Lee EC, Park SW, Lee MR, et al. Neuroinflammation in post-traumatic stress disorder. Biomedicines. 2022;10:953.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Mehta D, Voisey J, Bruenig D, Harvey W, Morris CP, Lawford B, et al. Transcriptome analysis reveals novel genes and immune networks dysregulated in veterans with PTSD. Brain Behav Immun. 2018;74:133–42.

    Article  CAS  PubMed  Google Scholar 

  69. Zhao JL, Baltimore D. Regulation of stress-induced hematopoiesis. Curr Opin Hematol. 2015;22:286–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Ruan B, Paulson RF Metabolic regulation of stress erythropoiesis: outstanding questions and possible paradigms. Front Physiol. 2023;13:1063294. Available from: https://www.frontiersin.org/articles/10.3389/fphys.2022.1063294.

  71. Miller MW, Lin AP, Wolf EJ, Miller DR. Oxidative stress, inflammation, and neuroprogression in chronic PTSD. Harv Rev Psychiatry. 2018;26:57–69.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Michopoulos V, Vester A, Neigh G. Posttraumatic stress disorder: a metabolic disorder in disguise? Exp Neurol. 2016;284:220–9.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Wolf EJ, Bovin MJ, Green JD, Mitchell KS, Stoop TB, Barretto KM, et al. Longitudinal associations between post-traumatic stress disorder and metabolic syndrome severity. Psychol Med. 2016;46:2215–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Misganaw B, Yang R, Gautam A, Muhie S, Mellon SH, Wolkowitz OM, et al. The genetic basis for the increased prevalence of metabolic syndrome among post-traumatic stress disorder patients. Int J Mol Sci. 2022;23:12504.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Bartoli F, Carrà G, Crocamo C, Carretta D, Clerici M. Metabolic syndrome in people suffering from posttraumatic stress disorder: a systematic review and meta-analysis. Metab Syndr Relat Disord. 2013;11:301–8.

    Article  PubMed  Google Scholar 

  76. Deslauriers J, Powell S, Risbrough VB. Immune signaling mechanisms of PTSD risk and symptom development: insights from animal models. Curr Opin Behav Sci. 2017;14:123–32.

    Article  PubMed  PubMed Central  Google Scholar 

  77. Wang Z, Young MRI. PTSD, a disorder with an immunological component. Front Immunol. 2016;7:219.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Bersani FS, Mellon SH, Lindqvist D, Kang JI, Rampersaud R, Somvanshi PR, et al. Novel pharmacological targets for combat PTSD: metabolism, inflammation, the gut microbiome, and mitochondrial dysfunction. Mil Med. 2020;185:311–8.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Rosenbaum S, Stubbs B, Ward PB, Steel Z, Lederman O, Vancampfort D. The prevalence and risk of metabolic syndrome and its components among people with posttraumatic stress disorder: a systematic review and meta-analysis. Metabolism. 2015;64:926–33.

    Article  CAS  PubMed  Google Scholar 

  80. Passos IC, Vasconcelos-Moreno MP, Costa LG, Kunz M, Brietzke E, Quevedo J, et al. Inflammatory markers in post-traumatic stress disorder: a systematic review, meta-analysis, and meta-regression. Lancet Psychiatry. 2015;2:1002–12.

    Article  PubMed  Google Scholar 

  81. Gasparyan A, Navarrete F, Manzanares J. Cannabidiol and sertraline regulate behavioral and brain gene expression alterations in an animal model of PTSD. Front Pharmacol. 2021;12:694510.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Patas K, Baker DG, Chrousos GP, Agorastos A. Inflammation in posttraumatic stress disorder: dysregulation or recalibration? Curr Neuropharmacol. 2024;22:524–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Girgenti MJ, Duman RS. Transcriptome alterations in posttraumatic stress disorder. Biol Psychiatry. 2018;83:840–8.

    Article  CAS  PubMed  Google Scholar 

  84. von Känel R, Hepp U, Kraemer B, Traber R, Keel M, Mica L, et al. Evidence for low-grade systemic proinflammatory activity in patients with posttraumatic stress disorder. J Psychiatr Res. 2007;41:744–52.

    Article  Google Scholar 

  85. Bam M, Yang X, Zumbrun EE, Zhong Y, Zhou J, Ginsberg JP, et al. Dysregulated immune system networks in war veterans with PTSD is an outcome of altered miRNA expression and DNA methylation. Sci Rep. 2016;6:31209.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Marchese S, Cancelmo L, Diab O, Cahn L, Aaronson C, Daskalakis NP, et al. Altered gene expression and PTSD symptom dimensions in World Trade Center responders. Mol Psychiatry. 2022;27:2225–46.

    Article  CAS  PubMed  Google Scholar 

  87. Dahrendorff J, Wani A, Keller T, Armstrong D, Qu A, Wildman DE, et al. Analysis of posttraumatic stress disorder gene expression profiles in a prospective, community-based cohort. Hum Biol. 2023;95:33–47.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Nöthling J, Abrahams N, Toikumo S, Suderman M, Mhlongo S, Lombard C, et al. Genome-wide differentially methylated genes associated with posttraumatic stress disorder and longitudinal change in methylation in rape survivors. Transl Psychiatry. 2021;11:594.

    Article  PubMed  PubMed Central  Google Scholar 

  89. Mellon SH, Wolkowitz OM, Schonemann MD, Epel ES, Rosser R, Burke HB, et al. Alterations in leukocyte transcriptional control pathway activity associated with major depressive disorder and antidepressant treatment. Transl Psychiatry. 2016;6:e821.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Yamamoto H, Abe K. Distinct genetic responses to fluoxetine, sertraline, and citalopram in mouse cortical neurons. iScience. 2025;28:113800.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Chivers-Wilson KA. Sexual assault and posttraumatic stress disorder: a review of the biological, psychological and sociological factors and treatments. McGill J Med. 2006;9:111–8.

    PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors thank all participants and staff involved in the development and implementation of this cohort study. We also acknowledge the Programa de Atendimento a Vítimas de Violência e Estresse (PROVE) and the Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP) for their support.

Funding

This work was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; grants 2014/12559-5 and 2015/26473-8) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES; Finance Code 001).

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A.V.G.B.: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Visualization, Writing – original draft. V.K.O.: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. G.S.K.: Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing. G.D.A.G.: Formal analysis, Investigation, Methodology. B.E.V.R.: Formal analysis, Investigation, Methodology. J.S.R.: Writing – review & editing. A.M.O.: Formal analysis, Investigation, Methodology. B.M.C.: Conceptualization, Resources, Supervision, Writing – review & editing. P.F.A.: Investigation, Methodology, Resources. P.A.F.G.: Formal analysis, Investigation, Methodology. A.F.M.: Conceptualization, Resources, Supervision, Writing – review & editing. C.M.C.: Conceptualization, Resources, Supervision, Writing – review & editing. M.F.M.: Conceptualization, Resources, Supervision, Writing – review & editing. S.I.B.: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing.

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Correspondence to Sintia Iole Belangero.

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This study was approved by the Ethics Committee of the Universidade Federal de São Paulo (CAAE: 30332214.8.0000.5505). All participants provided written informed consent. All methods were performed in accordance with relevant guidelines and regulations.

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Bugiga, A.V.G., Ota, V.K., Kajitani, G.S. et al. Dynamic immune and metabolic dysregulation in women with post-traumatic stress disorder: Longitudinal transcriptomic insights following sexual assault. Mol Psychiatry (2026). https://doi.org/10.1038/s41380-026-03639-8

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