Abstract
Maternal immune activation (MIA) induced by lipopolysaccharides or polyinosinic:polycytidylic acid injections can induce behavioral abnormalities in adult mouse offspring. Here, we used the soluble tachyzoite antigen from Toxoplasma gondii, a parasite that infects approximately two billion people, to induce MIA in mice. The adult male offspring showed autism-relevant behaviors and abnormal brain microstructure, along with a pro-inflammatory T-cell immune profile in the periphery and upregulation of interleukin-6 in brain astrocytes. We show that adoptive transfer of regulatory T (Treg) cells largely reversed these MIA-induced phenotypes. Notably, pathogen-activated maternal Treg cells showed greater rescue efficacy than those from control donors. Single-cell RNA sequencing identified and characterized a unique group of pathogen-activated Treg cells that constitute 32.6% of the pathogen-activated maternal Treg population. Our study establishes a new preclinical parasite-mimicking MIA model and suggests therapeutic potential of adoptive Treg cell transfer in neuropsychiatric disorders associated with immune alterations.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$209.00 per year
only $17.42 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
The scRNA-sequencing dataset is available in the Gene Expression Omnibus database (https://www.ncbi.nlm.nih.gov/) under accession code GSE132803. Source data are provided with this paper. All other data presented in this study are available from the corresponding authors upon request.
Code availability
The R code for scRNA-seq analysis can be found in the Supplementary Software.
References
Abdallah, M. W. et al. Amniotic fluid chemokines and autism spectrum disorders: an exploratory study utilizing a Danish Historic Birth Cohort. Brain Behav. Immun. 26, 170–176 (2012).
Brown, A. S. & Derkits, E. J. Prenatal infection and schizophrenia: a review of epidemiologic and translational studies. Am. J. Psychiatry 167, 261–280 (2010).
Atladóttir, H. Ó. et al. Association of family history of autoimmune diseases and autism spectrum disorders. Pediatrics 124, 687–694 (2009).
Atladóttir, H. Ó. et al. Maternal infection requiring hospitalization during pregnancy and autism spectrum disorders. J. Autism Dev. Disord. 40, 1423–1430 (2010).
Estes, M. L. & McAllister, A. K. Immune mediators in the brain and peripheral tissues in autism spectrum disorder. Nat. Rev. Neurosci. 16, 469–486 (2015).
Lee, B. K. et al. Maternal hospitalization with infection during pregnancy and risk of autism spectrum disorders. Brain Behav. Immun. 44, 100–105 (2015).
Careaga, M., Murai, T. & Bauman, M. D. Maternal immune activation and autism spectrum disorder: from rodents to nonhuman and human primates. Biol. Psychiatry 81, 391–401 (2017).
Knuesel, I. et al. MIA and abnormal brain development across CNS disorders. Nat. Rev. Neurol. 10, 643–660 (2014).
Choi, G. B. et al. The maternal interleukin-17a pathway in mice promotes autism-like phenotypes in offspring. Science 351, 933–939 (2016).
Hsiao, E. Y., McBride, S. W., Chow, J., Mazmanian, S. K. & Patterson, P. H. Modeling an autism risk factor in mice leads to permanent immune dysregulation. Proc. Natl Acad. Sci. USA 109, 12776–12781 (2012).
Parker-Athill, E. C. & Tan, J. Maternal immune activation and autism spectrum disorder: interleukin-6 signaling as a key mechanistic pathway. Neurosignals 18, 113–128 (2010).
Wu, W.-L., Hsiao, E. Y., Yan, Z., Mazmanian, S. K. & Patterson, P. H. The placental interleukin-6 signaling controls fetal brain development and behavior. Brain Behav. Immun. 62, 11–23 (2017).
Smith, S. E. P., Li, J., Garbett, K., Mirnics, K. & Patterson, P. H. Maternal immune activation alters fetal brain development through interleukin-6. J. Neurosci. 27, 10695–10702 (2007).
Rudolph, M. D. et al. Maternal IL-6 during pregnancy can be estimated from newborn brain connectivity and predicts future working memory in offspring. Nat. Neurosci. 21, 765–772 (2018).
Gumusoglu, S. B. & Stevens, H. E. Maternal inflammation and neurodevelopmental programming: a review of preclinical outcomes and implications for translational psychiatry. Biol. Psychiatry 85, 107–121 (2019).
Pape, K., Tamouza, R., Leboyer, M. & Zipp, F. Immunoneuropsychiatry—novel perspectives on brain disorders. Nat. Rev. Neurol. 15, 317-–328 (2019).
Mattei, D. et al. MIA results in complex microglial transcriptome signature in the adult offspring that is reversed by minocycline treatment. Transl. Psychiatry 7, e1120 (2017).
Brown, A. S. & Meyer, U. MIA and neuropsychiatric illness: a translational research perspective. Am. J. Psychiatry 175, 1073–1083 (2018).
Fatoohi, A. F. et al. Heterogeneity in cellular and humoral immune responses against Toxoplasma gondii antigen in humans. Clin. Exp. Immunol. 136, 535–541 (2004).
Bluestone, J. A. & Tang, Q. Treg cells—the next frontier of cell therapy. Science 362, 154–155 (2018).
Ito, M. et al. Brain regulatory T cells suppress astrogliosis and potentiate neurological recovery. Nature 565, 246–250 (2019).
Raffin, C., Vo, L. T. & Bluestone, J. A. Treg cell-based therapies: challenges and perspectives. Nat. Rev. Immunol. 20, 158–172 (2020).
Sharabi, A. et al. Regulatory T cells in the treatment of disease. Nat. Rev. Drug Discov. 17, 823–844 (2018).
Ferreira, L. M. R., Muller, Y. D., Bluestone, J. A. & Tang, Q. Next-generation regulatory T-cell therapy. Nat. Rev. Drug Discov. 18, 749–769 (2019).
Hohlfeld, P. et al. Toxoplasma gondii infection during pregnancy: T lymphocyte subpopulations in mothers and fetuses. Pediatr. Infect. Dis. J. 9, 878–881 (1990).
Al-Ayadhi, L. Y. & Mostafa, G. A. Elevated serum levels of interleukin-17A in children with autism. J. Neuroinflammation 9, 158 (2012).
Baruch, K. et al. Breaking immune tolerance by targeting Foxp3+ regulatory T cells mitigates Alzheimer’s disease pathology. Nat. Commun. 6, 7967 (2015).
Mohammad, M. G. et al. Immune cell trafficking from the brain maintains CNS immune tolerance. J. Clin. Invest. 124, 1228–1241 (2014).
Ahmad, S. F. et al. Dysregulation of TH1, TH2, TH17 and T regulatory cell-related transcription factor signaling in children with autism. Mol. Neurobiol. 54, 4390–4400 (2017).
Mostafa, G. A., Al Shehab, A. & Fouad, N. R. Frequency of CD4+CD25high regulatory T cells in the peripheral blood of egyptian children with autism. J. Child Neurol. 25, 328–335 (2010).
Moaaz, M., Youssry, S., Elfatatry, A. & El Rahman, M. A. TH17/Treg cells imbalance and their related cytokines (IL-17, IL-10 and TGF-β) in children with autism spectrum disorder. J. Neuroimmunol. 337, 577071 (2019).
Onore, C., Careaga, M. & Ashwood, P. The role of immune dysfunction in the pathophysiology of autism. Brain Behav. Immun. 26, 383–392 (2012).
Estes, M. L. & McAllister, A. K. Immune mediators in the brain and peripheral tissues in autism spectrum disorder. Nat. Rev. Neurosci. 16, 469–486 (2015).
Lellem, A. et al. Unique chemotactic response profile and specific expression of chemokine receptors CCR4 and CCR8 by CD4+CD25+ regulatory T cells. J. Exp. Med. 194, 847–854 (2001).
Griffith, J. W., Sokol, C. L. & Luster, A. D. Chemokines and chemokine receptors: positioning cells for host defense and immunity. Annu. Rev. Immunol. 32, 659–702 (2014).
Mostowy, S. & Shenoy, A. R. The cytoskeleton in cell-autonomous immunity: structural determinants of host defence. Nat. Rev. Immunol. 15, 559–573 (2015).
Pollard, T. D. & Cooper, J. A. Actin, a central player in cell shape and movement. Science 326, 1208–1212 (2009).
Fletcher, D. A. & Mullins, R. D. Cell mechanics and the cytoskeleton. Nature 463, 485–495 (2010).
Yang, G., Pan, F., Parkhurst, C. N., Grutzendler, J. & Gan, W.-B. Thinned-skull cranial window technique for long-term imaging of the cortex in live mice. Nat. Protoc. 5, 201–208 (2010).
Herz, J. et al. In vivo imaging of lymphocytes in the CNS reveals different behaviour of naïve T cells in health and autoimmunity. J. Neuroinflammation 8, 131 (2011).
Otsu, Y. et al. Control of aversion by glycine-gated GluN1/GluN3A NMDA receptors in the adult medial habenula. Science 366, 250–254 (2019).
Zhang, J. et al. Presynaptic excitation via GABAB receptors in habenula cholinergic neurons regulates fear memory expression. Cell 166, 716–728 (2016).
Orefice, L. L. et al. Peripheral mechanosensory neuron dysfunction underlies tactile and behavioral deficits in mouse models of ASDs. Cell 166, 299–313 (2016).
Hitti, F. L. & Siegelbaum, S. A. The hippocampal CA2 region is essential for social memory. Nature 508, 88–92 (2014).
Leroy, F. et al. A circuit from hippocampal CA2 to lateral septum disinhibits social aggression. Nature 564, 213–218 (2018).
Spann, M. N., Monk, C., Scheinost, D. & Peterson, B. S. Maternal immune activation during the third trimester is associated with neonatal functional connectivity of the salience network and fetal to toddler behavior. J. Neurosci. 38, 2877–2886 (2018).
Missault, S. et al. Hypersynchronicity in the default mode-like network in a neurodevelopmental animal model with relevance for schizophrenia. Behav. Brain Res. 364, 303–316 (2019).
Kipnis, J., Gadani, S. & Derecki, N. C. Pro-cognitive properties of T cells. Nat. Rev. Immunol. 12, 663–669 (2012).
Gadani, S. P., Cronk, J. C., Norris, G. T. & Kipnis, J. IL-4 in the brain: a cytokine to remember. J. Immunol. 189, 4213–4219 (2012).
Derecki, N. C. et al. Regulation of learning and memory by meningeal immunity: a key role for IL-4. J. Exp. Med. 207, 1067–1080 (2010).
Shin Yim, Y. et al. Reversing behavioural abnormalities in mice exposed to maternal inflammation. Nature 549, 482–487 (2017).
Behrens, T. E. et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn. Reson. Med. 50, 1077–1088 (2003).
Kong, Y. et al. Variation in anisotropy and diffusivity along the medulla oblongata and the whole spinal cord in adolescent idiopathic scoliosis: a pilot study using diffusion tensor imaging. AJNR Am. J. Neuroradiol. 35, 1621–1627 (2014).
Wedeen, V. J. et al. Diffusion spectrum magnetic resonance imaging tractography of crossing fibers. Neuroimage 41, 1267–1277 (2008).
Yushkevich, P. A. et al. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. Neuroimage 31, 1116–1128 (2006).
Zhou, Z. et al. The C-terminal tails of endogenous GluA1 and GluA2 differentially contribute to hippocampal synaptic plasticity and learning. Nat. Neurosci. 21, 50–62 (2018).
Acknowledgements
We thank H.T. Wu for technical assistance with the USV experiments in pups. We thank all members of the laboratories of M.J. and Z.Z. for technical assistance and discussion. This work was supported by the National Natural Science Foundation of China (81971022 to Z.Z.), Program of Shanghai Academic Research Leader (19XD1423300 to Z.Z.), Natural Science Foundation of Jiangsu Province (BK20171049 to Z.X.), Science and Technology Commission of Shanghai Municipality (201409002600 to Z.Z.), Foundation of Jiangsu Province Key Laboratory of Modern Pathogen Biology (JX218GSP20171003 to Z.Z.), Shanghai Key Laboratory of Psychotic Disorders Open Grant (19-K01 to M.J.), Shanghai Mental Health Center-Clinical Research Center (CRC2019ZD01 to Z.Z.) and Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support (20191835 to Z.Z.).
Author information
Authors and Affiliations
Contributions
Conceptualization: Z.Z. and M.J.; STAg preparation and injection: Z.X., R.L., Y.N. and M.H.; behavioral tests and analysis: Xiaoyun Zhang, Xiaolin Zhang, Y.K. and Z.W.; flow cytometry: Z.X., H.C., Y.N. and W.-T.L.; immunohistochemistry: Xiaoyun Zhang, Y.K., Z.X. and S.Y.; two-photon imaging: Y.K. and Xiaoyun Zhang; Treg cell preparation and adoptive transfer: Z.X., H.C. and Y.K.; scRNA-seq and analysis: Xiaolin Zhang and Xiaoyun Zhang; MRI and analysis: Y.H., Z.Y. and R.M.; western blot, qPCR and ELISA: Xiaoyun Zhang, H.C. and Y.D.; funding acquisition: Z.Z., M.J. and Z.X.; supervision: Z.Z. and M.J.; Z.Z. wrote the paper with input from the co-authors.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information Nature Neuroscience thanks Staci Bilbo, Qizhi Tang, and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Pro-inflammatory CD4+ T cell profile in the pregnant mother mice indicates STAg-elicited MIA.
a, Gating schemes for analysis of the percentages of CD3+CD4+ IFN-γ+ (TH1), CD3+CD4+IL-4+(TH2), and CD3+CD4+IL-17+(TH17) cells from R1 and R2. The expression of CD4+CD25+Foxp3+ (Treg) cells were gated from R1 and R3. Single-cell suspensions of splenic cells were labeled with CD3-APC and CD4-FITC, and then intracellularly labeled with PE-conjugated antibodies against IFN-γ, IL-4 or IL-17 for flow cytometric analysis of CD3+CD4+ IFN-γ+ (TH1), CD3+CD4+IL-4+ (TH2), and CD3+CD4+IL-17+ (TH17) cells, respectively. Cells were stained with CD4-FITC and CD25-APC, and then intracellularly labeled with PE-conjugated antibodies against Foxp3 for FACS analysis of CD4+CD25+Foxp3+ Treg cells. b-d, Flow cytometric analysis of splenic lymphocytes from pregnant mother mice prepared at three days after STAg injection. b, Bar chart shows the percentages of TH1, TH2, TH17 and Treg cells in CD4+ splenic lymphocytes. c, The absolute numbers of total splenic cells and (d) CD4+ T cells in PBS- or STAg-treated pregnant mother mice. Data are presented as mean ± s.e.m. *P < 0.05, **P < 0.01, ***P < 0.001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 2 Further behavioral analysis on the MIA offspring.
a-l, Maternal isolation-induced USV profiles. (a and b) Representative USV spectrograms from PBS and STAg pups on P12 and P14. The peak frequency at start (c), end (d) and the mean peak frequency (e); the peak amplitude at start (f), end (g) and the mean peak amplitude (h) of calls made by PBS and STAg pups at P5, P7, P9, P12 and P14. i-j, The sonograms of USVs emitted by the pups are classified into ten distinct categories and analyzed for the number of calls (i) and the duration of the calls (j) during the 5-min recording period at P7. (k and l) Ten syllable categories of 5-min recording were analyzed at P14 for the number of calls (k) and the duration of the calls (l). m-n, Open filed test. Total distance traveled (m) and mean speed (n) in 10 min of open field test. o-p, Elevated plus maze test. Number of entries into open arms (o) and percentage of entries into open arms (p). q, Olfactory function test. PBS and STAg offspring displayed comparable investigation when exposed to three non-social cues (water, banana, orange) and two social cues. r-s, The social interaction ratio in reciprocal social interactions. The ratio of experimental mouse and stimulus mouse during the test with age-matched peer (r) or a juvenile target (s). t-v, Three-chamber social interaction test. (t) Time spent in the left and right chambers during the habituation stage by PBS and STAg-MIA offspring. (u) Total time spent in the empty chamber and the chamber with stranger mouse 1 (S1) at social approach stage. (v) Total time spent in the chamber with S1 and the chamber with stranger mouse 2 (S2) at social novelty stage. Data are presented as mean ± s.e.m. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 3 STAg-elicited MIA did not alter learning and memory in the offspring.
a-e, Novel object recognition test. (a) Representative heatmaps of mouse movement at the training session (top) and test session (bottom) of PBS and STAg offspring. (b) Time spent exploring the identical objects A1 and A2 and discrimination index (c) in training session. (d) Time spent exploring the familiar object A and a novel object B and discrimination index (e) in test session. f-j, Barnes maze test. (f) The experimental paradigm. (g) The image of probe test on day 5 and representative heatmaps of PBS and STAg offspring movement. (h) The latency time to enter the hiding box in the Barnes maze during acquisition days 1–4. (i and j) The number of visits to the target hole (i) and time in target quadrant (j) in probe test. Data are presented as mean ± s.e.m. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 4 Immune cell profiles in MIA offspring.
a-e, Pregnant C57BL/6 mice were i.p. injected with STAg or vehicle (PBS) on E14.5. At 2 and 4 weeks of age, 2×106 bone marrow cells were stained with CD3-PerCP-Cy5.5, CD19-APC, and Gr1-FITC, respectively. a, Gating schemes for analysis of T cells (CD19−CD3+), B cells (CD19+CD3−) and granulocytes (Gr-1+CD19−) were gated from R1. b, Flow cytometric analysis of proportion of T cells (CD19−CD3+), B cells (CD19+CD3−) (b and c), and granulocytes (Gr-1+CD19−) (d and e) in bone marrow cells. f-j, (f) Gating schemes for analysis of the percentages of CD3+CD4+ (CD4+ T cells) and CD3+CD4+ CXCR5+PD1+ (Tfh) cells in the offspring. Single-cell suspensions of splenic cells were labeled with CD3-APC and CD4-FITC for flow cytometric analysis of CD3+CD4+ cells (g), and the percentage of CD3+CD4+ cells were analyzed (h). i, Cells were labeled with CD3-APC, CD4-FITC, CXCR5-Percp-Cy5.5, and PD1-PE for flow cytometric analysis of TFH cells (j). Data are presented as mean ± s.e.m. ****P < 0.0001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 5 STAg-MIA specifically upregulated IL-6 expression in multiple brain regions in adult offspring.
a-c, The mRNA levels of IL-12, TNF-α, IFN-γ, IL-10, and IL-4 in the mouse hippocampi (a), striatum (b), cortices (c) were determined by qPCR in offspring from PBS and STAg treated mother mice. The gene mRNA levels were normalized to Gapdh. d, IL-6 protein level in serum measured by ELISA. Data are presented as mean ± s.e.m. *P < 0.05, **P < 0.01, ****P < 0.0001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 6 Further analysis of therapeutic effects of adoptive transfer of Treg cells in adult MIA offspring.
a and b, Open fields test. At 8 weeks of age, 5×105 of CTreg or MIATreg cells were transferred via intravenous injection into each adult PBS and STAg-MIA offspring. One week later, these mice were subjected to behavioral tests. Total distance traveled (a) and mean speed (b) in 10 min of open field test. c-e, Elevated plus maze test. Total time (c) and the percentage of time spent (d) in open arms, and the percentage of entries into open arms (e). f-g, The social interaction ratio in reciprocal social interactions. The ratio of experimental mouse and stimulus mouse during the test with age-matched mouse (f) or a juvenile target (g) measured after adoptive transfer of CTreg or MIATreg cells in PBS or STAg-MIA offspring. h-j, Three-chamber social interaction test. (h) Time spent in the left and right chambers during the habituation stage. i, Total time spent in the empty chamber and the chamber with stranger mouse 1 (S1) in social approach stage. j, Total time spent in the chamber with stranger mouse 1 (S1) and the chamber with stranger mouse 2 (S2) in social novelty stage. Data are presented as mean ± s.e.m. *P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 7 Long-term maintenance of transferred EGFP-Treg cells in MIA offspring.
a, Pregnant EGFP or WT C57BL/6 mice were i.p. injected with STAg or vehicle (PBS) on E14.5. CTreg or MIATreg cells (5×105) from EGPF mice were purified and transferred via intravenous injection into each adult STAg-MIA offspring. At 3 weeks and 8 weeks after adoptive transfer, 2×106 cells were stained with CD4-BV21and CD25-APC in the spleen and blood from the STAg-MIA offspring. The EGFP+ cells were gated from CD4+CD25+ cells. Statistical results of the percentage of CD4+CD25+ cells in EGFP+ cells in the blood (b) and spleen (c). Data are presented as mean ± s.e.m. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 8 Distribution of adoptively transferred Treg cells in the brain regions in adult MIA offspring.
a, Coronal plane of the mouse left hemisphere combined with immunohistology image of the right hemisphere section with matching stereotaxic coordinates (bregma −0.82 mm and interaural 2.98 mm). Adoptively transferred Treg cells are labeled with CMTMR (red), nuclei are labeled with DAPI (blue). Scale bar = 500 μm. b, Zoom-in images of representative brain regions: medial habenular nucleus (MHb) (region 1), cingulate/retrosplenial cortex (Cg/RS) (region 2), and primary somatosensory cortex, barrel field 0 (S1BF) (region 3). Scale bars = 25 μm. c, Coronal plane of the mouse left hemisphere combined with immunohistology image of the right hemisphere section with matching stereotaxic coordinates (bregma −2.46 mm and interaural 1.34 mm). Scale bar = 500 μm. d, Zoom-in images of representative brain regions: pre-commissural nucleus (PrC) (region 4), retrosplenial granular cortex (RSG) (region 5), and field CA2 of hippocampus (CA2) (region 6). The distribution pattern of transferred Tregs is highly similar in three independently repeated experiments.
Extended Data Fig. 9 Flow cytometric analysis of cell surface proteins in Treg cells.
a-f, Pregnant C57BL/6 mice were i.p. injected with STAg or vehicle (PBS) on E14.5. Splenic cells (2×106) were stained with CD4-FITC and CD25-APC, and then labeled with PD1-PE, CCR5-Percp-cy5.5, ICOS-BV421, KLRG-1-PE, or CCR4-PE for flow cytometric analysis of cell surface protein levels of the suppressive markers in CTreg or MIATreg cells. The percentages of PD1, CCR5, ICOS, KLRG-1, and CCR4 in CTreg or MIATreg cells were gated from CD4+CD25+ cells (a). Statistical comparation of the surface levels of PD1 (b), ICOS (c), KLRG1 (d), CCR4 (e) and CCR5 (f) are presented respectively. Data are presented as mean ± s.e.m. *P < 0.05, **P < 0.01, ****P < 0.0001. For detailed statistics information, see Supplementary Table 1.
Extended Data Fig. 10 MRI analysis of neuronal connectivity in the adult brain.
a, Different layers of T2 weighted whole brain images of P60 control (PBS) and STAg-MIA offspring mice. Scale bars, 5 mm. b, Summary graph showing unaltered brain area (mm2) and cortical thickness (mm) (c). d, Fiber tractography images of adult mouse brains. The color schemes are: red, left-right; green, ventral-dorsal; and blue, caudal-rostral. e, Fractional anisotropy (FA) values of major white matter tracts. f, Average axial diffusivity (AD), radial diffusivity (RD) (g), and mean diffusivity (MD) (h) of major white matter tracts. Summary results showing fiber density of whole brain (i), hippocampus (Hip) (j), corpus callosum (CC) (k) and cortex (Ctx) (l). Data are presented as mean ± s.e.m. *P < 0.05, ***P < 0.001. For detailed statistics information, see Supplementary Table 1.
Supplementary information
Supplementary Table
Supplementary Table for statistical details.
Supplementary Software
The R code for scRNA-seq analysis.
Source data
Source Data Fig. 3
Unprocessed western blot for Fig. 3.
Source Data Fig. 6
Unprocessed western blot for Fig. 6.
Rights and permissions
About this article
Cite this article
Xu, Z., Zhang, X., Chang, H. et al. Rescue of maternal immune activation-induced behavioral abnormalities in adult mouse offspring by pathogen-activated maternal Treg cells. Nat Neurosci 24, 818–830 (2021). https://doi.org/10.1038/s41593-021-00837-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41593-021-00837-1
This article is cited by
-
Inhibition of Foxp3 expression in the placenta of mice infected intraperitoneally by toxoplasma gondii tachyzoites: insights into the PPARγ/miR-7b-5p/Sp1 signaling pathway
Parasites & Vectors (2024)
-
Exploring the molecular mechanism of comorbidity of autism spectrum disorder and inflammatory bowel disease by combining multiple data sets
Journal of Translational Medicine (2023)
-
Abnormal neutrophil-to-lymphocyte ratio in children with autism spectrum disorder and history of maternal immune activation
Scientific Reports (2023)
-
Maternal immune activation during pregnancy is associated with more difficulties in socio-adaptive behaviors in autism spectrum disorder
Scientific Reports (2023)
-
Long-term in vivo imaging of mouse spinal cord through an optically cleared intervertebral window
Nature Communications (2022)