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Associations among bipolar II depression white matter subgroups, inflammation, symptoms and childhood maltreatment

Abstract

Childhood maltreatment has long-term effects on brain structure, inflammation and psychiatric symptoms, yet its impact on white matter (WM) integrity in bipolar disorder type II depression (BDII-D) remains understudied. Here, we investigate WM alterations in BDII-D and their associations with childhood maltreatment, inflammation and psychiatric symptoms. Using TractSeg, we analyzed WM integrity in 146 patients with BDII-D and 151 healthy controls, identifying significantly lower fractional anisotropy (FA) in the corpus callosum, left inferior longitudinal fasciculus and right striato-fronto-orbital tract, alongside higher FA in sensory-motor regions. WM alterations were correlated with inflammatory markers and psychiatric symptoms. Non-negative matrix factorization and clustering analysis revealed two BDII-D subgroups, with one subgroup showing lower corpus callosum FA, higher inflammatory markers, greater childhood emotional maltreatment and psychiatric symptoms. These findings suggest deficits in WM integrity in thalamo-subcortical-cortical and somatosensory areas in BDII-D. Childhood emotional maltreatment may contribute to long-term effects on inflammation and psychiatric symptoms in adulthood BDII-D.

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Fig. 1: The five steps of the study are described.
Fig. 2: TractSeg indicates the difference in FA values between BDII-D and HCs and partial correlations between FA values and inflammatory cytokines, inflammatory indicators and psychiatric symptoms in BDII-D.
Fig. 3: Partial correlation analysis between altered FA values and peripheral inflammatory cytokines and psychiatric symptoms in BDII-D (nBDII-D = 146).
Fig. 4: Childhood maltreatment, inflammatory cytokine and psychiatric symptom differences between subgroups of BDII-D (nsubgroup I = 74, nsubgroup II = 72).

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Data availability

Due to ethical concerns, patient confidentiality and our institutional restrictions, we are unable to publicly share the clinical and image data. However, we confirm that the data will be made available upon reasonable request to the corresponding authors, subject to appropriate ethical and institutional approvals.

Code availability

The code for white matter analysis used in this study was from TractSeg: https://github.com/MIC-DKFZ/TractSeg.

References

  1. Benedetti, F. et al. Disruption of white matter integrity in bipolar depression as a possible structural marker of illness. Biol. Psychiatry 69, 309–317 (2011).

    Article  PubMed  Google Scholar 

  2. Rosenblat, J. D. & McIntyre, R. S. Bipolar disorder and inflammation. Psychiatr. Clin. 39, 125–137 (2016).

    Google Scholar 

  3. Pereira, A. C. et al. Inflammation in bipolar disorder (BD): identification of new therapeutic targets. Pharmacol. Res. 163, 105325 (2021).

    Article  PubMed  Google Scholar 

  4. Kiecolt-Glaser, J. K. et al. Chronic stress and age-related increases in the proinflammatory cytokine IL-6. Proc. Natl Acad. Sci. USA 100, 9090–9095 (2003).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Saccaro, L., Schilliger, Z., Dayer, A., Perroud, N. & Piguet, C. Inflammation, anxiety, and stress in bipolar disorder and borderline personality disorder: a narrative review. Neurosci. Biobehav. Rev. 127, 184–192 (2021).

    Article  PubMed  Google Scholar 

  6. Poletti, S. et al. Long-term effect of childhood trauma: role of inflammation and white matter in mood disorders. Brain Behav. Immun. Health 26, 100529 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  7. Dall’Aglio, L., Xu, B., Tiemeier, H. & Muetzel, R. L. Longitudinal associations between white matter microstructure and psychiatric symptoms in youth. J. Am. Acad. Child Adolesc. Psychiatry 62, 1326–1339 (2023).

    Article  PubMed  Google Scholar 

  8. Wasserthal, J., Neher, P. & Maier-Hein, K. H. TractSeg-Fast and accurate white matter tract segmentation. Neuroimage 183, 239–253 (2018).

    Article  PubMed  Google Scholar 

  9. Versace, A. et al. Right orbitofrontal corticolimbic and left corticocortical white matter connectivity differentiate bipolar and unipolar depression. Biol. Psychiatry 68, 560–567 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Manelis, A. et al. White matter abnormalities in adults with bipolar disorder type-II and unipolar depression. Sci. Rep. 11, 7541 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wise, T. et al. Voxel-based meta-analytical evidence of structural disconnectivity in major depression and bipolar disorder. Biol. Psychiatry 79, 293–302 (2016).

    Article  PubMed  Google Scholar 

  12. Bracht, T. et al. Physical activity is associated with left corticospinal tract microstructure in bipolar depression. Neuroimage Clin. 20, 939–945 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Benedetti, F. et al. Inflammatory cytokines influence measures of white matter integrity in bipolar disorder. J. Affect. Disord. 202, 1–9 (2016).

    Article  PubMed  Google Scholar 

  14. Aronica, R., Enrico, P., Squarcina, L., Brambilla, P. & Delvecchio, G. Association between diffusion tensor imaging, inflammation and immunological alterations in unipolar and bipolar depression: a review. Neurosci. Biobehav. Rev. 143, 104922 (2022).

    Article  PubMed  Google Scholar 

  15. Zhang, W. et al. Neuroinflammation in the amygdala is associated with recent depressive symptoms. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 8, 967–975 (2023).

    PubMed  Google Scholar 

  16. Serpa, M. et al. Inflammatory cytokines and white matter microstructure in the acute phase of first-episode psychosis: a longitudinal study. Schizophr. Res. 257, 5–18 (2023).

    Article  PubMed  Google Scholar 

  17. Cao, Y. et al. Effects of inflammation, childhood adversity, and psychiatric symptoms on brain morphometrical phenotypes in bipolar II depression. Psychol. Med. 54, 775–784 (2024).

    Article  PubMed  Google Scholar 

  18. Cao, Y. et al. Brain-derived subgroups of bipolar II depression associate with inflammation and choroid plexus morphology. Psychiatry Clin. Neurosci. 77, 613–621 (2023).

    Article  PubMed  Google Scholar 

  19. Teicher, M. H. & Samson, J. A. Annual research review: enduring neurobiological effects of childhood abuse and neglect. J. Child Psychol. Psychiatry 57, 241–266 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Baumeister, D., Akhtar, R., Ciufolini, S., Pariante, C. M. & Mondelli, V. Childhood trauma and adulthood inflammation: a meta-analysis of peripheral C-reactive protein, interleukin-6 and tumour necrosis factor-α. Mol. Psychiatry 21, 642–649 (2016).

    Article  PubMed  Google Scholar 

  21. Agnew-Blais, J. & Danese, A. Childhood maltreatment and unfavourable clinical outcomes in bipolar disorder: a systematic review and meta-analysis. Lancet Psychiatry 3, 342–349 (2016).

    Article  PubMed  Google Scholar 

  22. Stevelink, R. et al. Childhood abuse and white matter integrity in bipolar disorder patients and healthy controls. Eur. Neuropsychopharmacol. 28, 807–817 (2018).

    Article  PubMed  Google Scholar 

  23. Congio, A. C., Rossaneis, A. C., Verri, W. A. Jr, Urbano, M. R. & Nunes, S. O. V. Childhood trauma, interleukin-17, C-reactive protein, metabolism, and psychosocial functioning in bipolar depression. J. Affect. Disord. Rep. 9, 100357 (2022).

    Google Scholar 

  24. Xiao, H. et al. Interleukin-1β moderates the relationships between middle frontal-mACC/insular connectivity and depressive symptoms in bipolar II depression. Brain Behav. Immun. 120, 44–53 (2024).

    Article  PubMed  Google Scholar 

  25. Leh, S. E., Ptito, A., Chakravarty, M. M. & Strafella, A. P. Fronto-striatal connections in the human brain: a probabilistic diffusion tractography study. Neurosci. Lett. 419, 113–118 (2007).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Perry, B. I. et al. Associations of immunological proteins/traits with schizophrenia, major depression and bipolar disorder: a bi-directional two-sample mendelian randomization study. Brain Behav. Immun. 97, 176–185 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Sasaki, K. et al. Modulation of the neurotransmitter systems through the anti-inflammatory and antidepressant-like effects of squalene from Aurantiochytrium sp. PLoS ONE 14, e0218923 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Goldsmith, D., Rapaport, M. & Miller, B. A meta-analysis of blood cytokine network alterations in psychiatric patients: comparisons between schizophrenia, bipolar disorder and depression. Mol. Psychiatry 21, 1696–1709 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lizano, P. et al. Association of choroid plexus enlargement with cognitive, inflammatory, and structural phenotypes across the psychosis spectrum. Am. J. Psychiatry 176, 564–572 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  30. Klöppel, S. et al. Compensation in preclinical Huntington’s disease: evidence from the track-on HD study. EBioMedicine 2, 1420–1429 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Martino, M. et al. Abnormal functional relationship of sensorimotor network with neurotransmitter-related nuclei via subcortical-cortical loops in manic and depressive phases of bipolar disorder. Schizophr. Bull. 46, 163–174 (2020).

    Article  PubMed  Google Scholar 

  32. Judd, L. L. et al. Prevalence and clinical significance of subsyndromal manic symptoms, including irritability and psychomotor agitation, during bipolar major depressive episodes. J. Affect. Disord. 138, 440–448 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Wolf, R. C. & Sambataro, F. Neural compensation in Huntington’s disease: teaching mental disorders new tricks? EBioMedicine 2, 1288–1289 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  34. Lizano, P. et al. Peripheral inflammatory subgroup differences in anterior Default Mode network and multiplex functional network topology are associated with cognition in psychosis. Brain Behav. Immun. 114, 3–15 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Quidé, Y., Tozzi, L., Corcoran, M., Cannon, D. M. & Dauvermann, M. R. The impact of childhood trauma on developing bipolar disorder: current understanding and ensuring continued progress. Neuropsychiatr. Dis. Treat. 16, 3095–3115 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  36. Ascoli, B. M. et al. The role of macrophage polarization on bipolar disorder: identifying new therapeutic targets. Aust. N. Z. J. Psychiatry 50, 618–630 (2016).

    Article  PubMed  Google Scholar 

  37. Hett, D., Etain, B. & Marwaha, S. Childhood trauma in bipolar disorder: new targets for future interventions. BJPsych Open 8, e130 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  38. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders: DSM-5 (American Psychiatric Association, 2013).

  39. Hamilton, M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatry 23, 56 (1960).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hamilton, M. Hamilton anxiety rating scale. Br. J. Med. Psychol. 32, 50–55 (1959).

    Article  PubMed  Google Scholar 

  41. Kay, S. R., Fiszbein, A. & Opler, L. A. The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophr. Bull. 13, 261–276 (1987).

    Article  PubMed  Google Scholar 

  42. Posner, K. et al. Columbia-suicide severity rating scale (C-SSRS). New York, NY: Columbia University Medical Center 10, 2008 (2008).

    Google Scholar 

  43. Bernstein, D. P. et al. Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse Neg. 27, 169–190 (2003).

    Article  Google Scholar 

  44. Jiang, W.-J. et al. Reliability and validity of the Chinese version of the Childhood Trauma Questionnaire-Short Form for inpatients with schizophrenia. PLoS ONE 13, e0208779 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  45. Hassel, S. et al. Elevated striatal and decreased dorsolateral prefrontal cortical activity in response to emotional stimuli in euthymic bipolar disorder: no associations with psychotropic medication load. Bipolar Disord. 10, 916–927 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  46. Wasserthal, J., Neher, P. F. & Maier-Hein, K. H. Tract orientation mapping for bundle-specific tractography. In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III 11 (eds Frangi, A. et al.) 36–44 (Springer, 2018).

  47. Wasserthal, J., Neher, P. F., Hirjak, D. & Maier-Hein, K. H. Combined tract segmentation and orientation mapping for bundle-specific tractography. Med. Image Anal. 58, 101559 (2019).

    Article  PubMed  Google Scholar 

  48. Wasserthal, J. et al. Multiparametric mapping of white matter microstructure in catatonia. Neuropsychopharmacology 45, 1750–1757 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  49. Han, S. et al. Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization. Nat. Commun. 14, 4053 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  50. Gaujoux, R. & Seoighe, C. A flexible R package for nonnegative matrix factorization. BMC Bioinformatics 11, 367 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This study was supported by the National Natural Science Foundation of China (grant nos. 82471953 and 82271947 to Z.Y.J.), the 1·3·5 Project for Disciplines of Excellence–Clinical Research Incubation Project, West China Hospital, Sichuan University (grant no. 2020HXFH005 to Z.Y.J. and grant no. 2022HXFH029 to C.J.Q.), STI2030-Major Projects (grant no. 2021ZD0200600 to C.J.Q.), the Interdisciplinary Center of Clinical Research of the Medical Faculty Jena (L.C.) and the DZPG (German Center for Mental Health) (FKZ: grant no. 01EE2103 to M.W. and L.C.). We thank all participants for their kind contributions. P.L. was supported by a career development award from the National Institute of Mental Health (K23MH122701). The MRI machine in Supplementary Fig. 1 was drawn using FigDraw. We thank H. Xie, J. Mu and H. Sun for their help with the MRI scan; Y. Li, S. Liu and Y. Ma for their help in recruiting the BDII-D individuals; and S. Guo for laboratory testing of blood samples.

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Authors and Affiliations

Authors

Contributions

Y.C. wrote the first draft of the paper; P.L., M.W. and L.C. edited the paper; Y.C., P. L. and M.W. designed the research; Y.C., M.L., N.J., X.Q.Z. and T.C. analyzed data; Y.C., H.S. and G.J.D. were involved in clinical data collection; Y.C. and X.P.L. participated in MRI scans; P.L., M.W., C.J.Q., Q.Y.G. and Z.Y.J. supervised the study. All authors edited the approved final version of the manuscript.

Corresponding authors

Correspondence to Changjian Qiu, Martin Walter or Zhiyun Jia.

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Competing interests

M.W. is a member of the advisory boards and gave presentations for the following companies: Boehringer Ingelheim, Germany; Bayer AG, Germany; and Biologische Heilmittel Heel GmbH, Germany. M.W. has further conducted studies with institutional research support from HEEL and from Janssen Pharmaceutical Research for a clinical trial (IIT) on ketamine in patients with major depression unrelated to this investigation. M.W. has not received any financial compensation from the above-mentioned companies. The other authors declare no competing interests.

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Nature Mental Health thanks Tania Silva and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary information

Supplementary Information

Supplementary methods, results, Tables 1–6 and Figs. 1–4.

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Supplementary Table 1

Partial correlation analysis between FA values that showed significant differences compared with HCs and inflammatory cytokines in BDII-D.

Supplementary Table 2

Partial correlation analysis between FA values that showed significant differences compared with HCs and indirect inflammatory indicators in BDII-D.

Supplementary Table 3

Partial correlation analysis between FA values that showed significant differences compared with HCs and psychiatric symptoms in BDII-D.

Supplementary Table 4

Partial correlation analysis between significant FA values that showed significant differences compared with HCs and clinical profiles in BDII-D.

Supplementary Table 5

Partial correlation analysis between FA values that showed significant differences compared with HCs and childhood maltreatment in BDII-D.

Supplementary Table 6

Partial correlation analysis between FA values that showed significant differences compared with HCs and childhood maltreatment in HCs.

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Cao, Y., Lizano, P., Li, M. et al. Associations among bipolar II depression white matter subgroups, inflammation, symptoms and childhood maltreatment. Nat. Mental Health 3, 724–734 (2025). https://doi.org/10.1038/s44220-025-00432-4

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