Regulatory T-lymphocytes mediate amyotrophic lateral sclerosis progression and survival

Jenny S Henkel, David R Beers, Shixiang Wen, Andreana L Rivera, Karen M Toennis, Joan E Appel, Weihua Zhao, Dan H Moore, Suzanne Z Powell, Stanley H Appel, Jenny S Henkel, David R Beers, Shixiang Wen, Andreana L Rivera, Karen M Toennis, Joan E Appel, Weihua Zhao, Dan H Moore, Suzanne Z Powell, Stanley H Appel

Abstract

In amyotrophic lateral sclerosis (ALS) mice, regulatory T-lymphocytes (Tregs) are neuroprotective, slowing disease progression. To address whether Tregs and FoxP3, a transcription factor required for Treg function, similarly influence progression rates of ALS patients, T-lymphocytes from patients were assessed by flow cytometry. Both numbers of Tregs and their FoxP3 protein expressions were reduced in rapidly progressing ALS patients and inversely correlated with progression rates. The mRNA levels of FoxP3, TGF-β, IL4 and Gata3, a Th2 transcription factor, were reduced in rapidly progressing patients and inversely correlated with progression rates. Both FoxP3 and Gata3 were accurate indicators of progression rates. No differences in IL10, Tbx21, a Th1 transcription factor or IFN-γ expression were found between slow and rapidly progressing patients. A 3.5-year prospective study with a second larger cohort revealed that early reduced FoxP3 levels were indicative of progression rates at collection and predictive of future rapid progression and attenuated survival. Collectively, these data suggest that Tregs and Th2 lymphocytes influence disease progression rates. Importantly, early reduced FoxP3 levels could be used to identify rapidly progressing patients.

Copyright © 2013 The Authors. Published by John Wiley and Sons, Ltd on behalf of EMBO.

Figures

Figure 1. CD4 + CD25 High regulatory…
Figure 1. CD4+CD25High regulatory T-lymphocytes (Tregs) are reduced in rapidly progressing ALS patients
Shown are flow cytometric analyses of leukocytes from 54 ALS patients through all stages of disease and 33 control volunteers.
  1. Representative flow diagrams showing CD4+CD25High Tregs from a rapidly progressing ALS patient, a slowly progressing ALS patient, and a control volunteer.

  2. Box and whisker plots indicating that percent of CD4+CD25High Tregs in total leukocytes from ALS patients (mean = 0.692%, median = 0.610%) were not different when compared with control volunteers using the t-test (mean = 0.845%, median = 0.800%).

  3. When the ALS patients were separated based on the rate of disease progression into rapidly (AALS points per month ≥1.5; 26 patients) versus slowly (AALS points per month <1.5; 28 patients) progressing ALS patients, the percent of CD4+CD25High Tregs were reduced in rapidly progressing patients (mean = 0.573%, median = 0.495%) compared with slowly progressing patients (mean = 0.825%, median = 0.660%) and reduced compared with control volunteers (mean = 0.845%, median = 0.800%); slowly progressing patients were not different than controls. #p = 0.018 versus slowly progressing ALS patients; **p = 0.003 versus controls.

  4. Scatter plot with regression line demonstrating that the percent of CD4+CD25High T cells were inversely correlated with rate of ALS progression (R = 0.301; linear regression). Slowly progressing ALS patients = AALS points/month <1.5; rapidly progressing ALS patients = AALS points/month >1.5, at the time of collection. ALS patients early in disease = AALS score < 100; ALS patients late in disease = AALS score ≥100, at the time of collection. &p = 0.028.

Figure 2. FoxP3 intensity in CD4 +…
Figure 2. FoxP3 intensity in CD4+FoxP3+ Tregs is reduced in rapidly progressing ALS patients
  1. There was a trend toward reduced numbers of CD4+FoxP3+ Tregs in the blood of rapidly progressing patients compared with both slowly progressing patients and control volunteers.

  2. FoxP3 intensity in CD4+FoxP3+ Tregs is reduced in rapidly progressing patients compared with slowly progressing patients and compared with control volunteers; slowly progressing patients were not different than controls. #p = 0.049 versus slowly progressing ALS patients; **p = 0.015 versus controls.

Figure 3. Leukocyte FoxP3 and CD25 mRNA…
Figure 3. Leukocyte FoxP3 and CD25 mRNA expression levels are reduced in rapidly progressing ALS patients
qRT-PCR was utilized to evaluate mRNA expression levels of FoxP3 and CD25 in leukocytes obtained from 54 ALS patients through all stages of disease and 33 control volunteers.
  1. A,B. FoxP3 mRNA expression levels were down-regulated in rapidly progressing ALS patients (t-test) and negatively correlated with disease progression rates (R = 0.419; linear regression).

  2. C,D. CD25 mRNA expression levels were reduced in rapidly progressing ALS patients (t-test) and inversely correlated with rate of disease progression (R = 0.444; linear regression).

  3. E. FoxP3 and CD25 mRNA expression levels of ALS patients directly correlated with each other (R = 0.815; linear regression). Note that slowly progressing patients early in their disease expressed the highest FoxP3 and CD25 mRNA levels, whereas rapidly progressing patients late in their course of disease expressed the lowest levels of FoxP3 and CD25 mRNAs. ##p ≤ 0.005 versus slowly progressing ALS patients. ***p ≤ 0.001 versus controls. &&p ≤ 0.005, &&&p ≤ 0.001.

Figure 4. Leukocyte Gata3 mRNA expression levels…
Figure 4. Leukocyte Gata3 mRNA expression levels are reduced in rapidly progressing ALS patients
qRT-PCR was utilized to evaluate expression levels of Gata3 mRNA isolated from leukocytes of ALS patients and control volunteers.
  1. A,B. Gata3 mRNA expression was decreased in rapidly progressing ALS patients (t-test) and inversely correlated with rate of disease progression (R = 0.405; linear regression).

  2. C. Gata3 and FoxP3 levels correlated (R = 0.737; linear regression).

  3. D. Gata3 and CD25 mRNA levels correlated (R = 0.810; linear regression). Note that slowly progressing patients early in their disease expressed the highest Gata3 mRNA levels, whereas rapidly progressing patients late in their course of disease expressed the lowest levels of Gata3 levels. ###p = 0.003 versus slowly progressing ALS patients; ***p = 0.00001 versus controls; &&&p ≤ 0.004.

Figure 5. Leukocyte IL4 and TGF-β mRNA…
Figure 5. Leukocyte IL4 and TGF-β mRNA expression levels are reduced in rapidly progressing ALS patients
qRT-PCR was utilized to evaluate mRNA expression levels of IL4 and TGF-β in leukocytes obtained from 54 ALS patients through all stages of disease and 33 control volunteers.
  1. A,B. IL4 mRNA expression was decreased in rapidly progressing ALS patients (t-test) and inversely correlated with rate of disease progression (R = 0.388; linear regression).

  2. C,D. TGF-β mRNA expression was reduced in rapidly progressing ALS patients (t-test) and inversely correlated with rate of disease progression (R = 0.475; linear regression). Note that slowly progressing patients early in their disease expressed the highest IL4 and TGF-β mRNA levels, whereas rapidly progressing patients late in their course of disease expressed the lowest levels of IL4 and TGF-β levels. ###p ≤ 0.0007 versus slowly progressing ALS patients; ***p ≤ 0.0002 versus controls; &&p ≤ 0.006, &&&p ≤ 0.001.

Figure 6. FoxP3, CD25, Gata3, TGF-β, IL4,…
Figure 6. FoxP3, CD25, Gata3, TGF-β, IL4, IL10, Tbx21 (Tbet), IFN-γ and NOX2 mRNA expression levels in spinal cord autopsy tissue from ALS patients
qRT-PCR was utilized to evaluate mRNA expression levels of CD25, FoxP3, Gata3 (Th2 transcription factor), Tbx21 (Th1 transcription factor), IFN-γ and NOX2 in spinal cord autopsy tissue obtained from 34 ALS patients and 14 disease control. Spinal cord FoxP3 mRNA expression levels were reduced in ALS patients who had progressed rapidly, CD25 mRNA expression levels were not significantly reduced, and Gata3 mRNA expression levels of ALS patients were increased in ALS patients who had progressed slowly. Spinal cord Tbx21 mRNA expression levels were increased in ALS patients who had progressed slowly or rapidly, IFN-γ levels were upregulated in patients who had progressed rapidly, and NOX2 levels were increased in patients who had progressed rapidly (t-test). Therefore, while Tbx21 levels in spinal cord were upregulated in patients who had progressed either rapidly or slowly versus controls, IFN-γ and NOX2 levels were upregulated only in patients who had progressed rapidly, suggesting an active suppression as observed in the mSOD1 mouse. *p ≤ 0.05 versus controls, **p ≤ 0.01 versus controls, #p ≤ 0.05 versus slowly progressing.
Figure 7. FoxP3 and Gata3 expression levels…
Figure 7. FoxP3 and Gata3 expression levels are potential predictors of ALS progression rates
Shown are the receiver operating characteristic (ROC) analyses of FoxP3 and Gata3 mRNA expression in 54 patients compared to their progression rates depicted in Fig and 4: the ROC analyses ‘training’ data sets.
  1. FoxP3 expression had a 78.9% accuracy (95% CI: 0.658–0.921), 73.9% sensitivity and 73.1% specificity, using a fold-increase over 0.66 as positive and a rate of progression of less than 1.5 points per month as slow.

  2. ALS patients with low FoxP3 mRNA expression levels (based on the 0.66-fold cutoff determined by the ROC analysis) progressed more rapidly than patients with high FoxP3 levels.

  3. Gata3 expression had a 81.1% accuracy (95% CI: 0.651–0.902), 76.9% sensitivity and 69.9% specificity, using a fold-increase over 0.52 as positive and a rate of progression of less than 1.5 points per month as slow.

  4. ALS patients with low Gata3 mRNA expression levels (based on the 0.52-fold cutoff determined by the ROC analysis) progressed more rapidly than patients with high Gata3 levels.

  5. Also shown for comparison is the ROC analysis of the time from first symptom to first exam in the same 54 patients compared to their progression rates. Time from first symptom to first exam had a 65.7% accuracy (95% CI: 0.473–0.786), 60.9% sensitivity and 61.5% specificity, using a fold-increase over 14.3 months as positive and a rate of progression of less than 1.5 points per month as slow.

  6. ALS patients with short times from first symptom to first exam (based on the 14.3 months cutoff determined by the ROC analysis) progressed more rapidly than patients with longer times from first symptom to first exam. *p = 0.04; ***p = 0.003.

Figure 8. FoxP3 mRNA expression levels in…
Figure 8. FoxP3 mRNA expression levels in a second group of ALS patients were reflective of progression rates at the time of collection, and low FoxP3 levels predicted future rapid progression rates
Leukocyte mRNAs from 102 patients were collected over a 3-year period during the early stages of disease and evaluated for FoxP3 mRNA expression levels. These levels were compared with progression rates both at the time of collection and at the end of the evaluation period (3.5 years).
  1. With this new ‘test’ set of 102 patients, ALS patients with low FoxP3 mRNA expression levels (based on cutoffs determined by the ROC analysis of the original 54 patients) early in disease progressed more rapidly than patients with high FoxP3 levels, both at the time of collection and at the end of the evaluation period. *p < 0.05 versus high FoxP3 levels, **p < 0.01 versus high FoxP3 levels.

  2. FoxP3 levels of this new ‘test’ set of patients were reflective of progression rates at the time of collection and low FoxP3 levels were predictive of future rapid progression rates. At the time of collection, low FoxP3 levels correctly predicted rapid progression rates 69% of the time, and high FoxP3 levels correctly predicted slow progression rates 75% of the time. At the end of the analysis period, low FoxP3 levels correctly predicted rapid progression rates 82% of the time, and high FoxP3 levels correctly predicted slow progression rates 53% of the time. aCutoff levels were defined by the prior ROC curve analyses (Fig 7; FoxP3 = 0.66). bLevels were compared with progression rates both at the time of collection and at the end of the evaluation period. cEvaluation period = 3.5 years.

Figure 9. Low FoxP3 expression levels are…
Figure 9. Low FoxP3 expression levels are predictive of reduced survival
Leukocytes from 102 patients were collected over a 3-year period during the early stages of disease and evaluated for FoxP3 mRNA expression levels. AALS score was determined every 3 months for 3.5 years.
  1. A. Sixty-six percent of patients with FoxP3 expression levels below the cutoff were above 100 AALS points at the end of the 3.5 years, while only 36.7% of the patients with FoxP3 expression levels above the cutoff were above 100 AALS points.

  2. B,C. Thirty-five percent of patients with FoxP3 expression levels below the cutoff were placed on a ventilator or were deceased during the 3.5 years, while only 13% of the patients with FoxP3 expression levels above the cutoff were on a ventilator or deceased. Optimum cutoff level was defined by the ROC curve analysis in Fig 7 (FoxP3 = 0.66). *p = 0.013, **p = 0.0072, log-rank tests; #p = 0.023, Chi square test.

References

    1. Appel SH, Beers DR, Henkel JS. T cell-microglial dialogue in Parkinson's disease and amyotrophic lateral sclerosis: are we listening. Trends Immunol. 2010;31:7–17.
    1. Beers DR, Henkel JS, Xiao Q, Zhao W, Wang J, Yen AA, Siklos L, McKercher SR, Appel SH. Wild-type microglia extends survival in PU.1 knockout mice with familial amyotrophic lateral sclerosis. Proc Natl Acad Sci USA. 2006;103:16021–16026.
    1. Beers DR, Henkel JS, Zhao W, Wang J, Appel SH. CD4+ T cells support glial neuroprotection, slow disease progression, and modify glial morphology in an animal model of inherited ALS. Proc Natl Acad Sci USA. 2008;105:15558–15563.
    1. Beers DR, Henkel JS, Zhao W, Wang J, Huang A, Wen S, Liao B, Appel SH. Endogenous regulatory T lymphocytes ameliorate disease in amyotrophic lateral sclerosis in mice and correlate with disease progression in patients with amyotrophic lateral sclerosis. Brain. 2011a;134:1293–1314.
    1. Beers DR, Zhao W, Liao B, Kano O, Wang J, Huang A, Appel SH, Henkel JS. Neuroinflammation modulates distinct regional and temporal clinical responses in ALS mice. Brain Behav Immun. 2011b;25:1025–1035.
    1. Banerjee R, Mosley RL, Reynolds AD, Dhar A, Jackson-Lewis V, Gordon PH, Przedborski S, Gendelman HE. Adaptive immune neuroprotection in G93A-SOD1 amyotrophic lateral sclerosis mice. PLoS ONE. 2008;23:e2740.
    1. Boillée S, Vande Velde C, Cleveland DW. ALS: a disease of motor neurons and their nonneuronal neighbors. Neuron. 2006;52:39–59.
    1. Brooks BR. El Escorial World Federation of Neurology criteria for the diagnosis of amyotrophic lateral sclerosis. Subcommittee on motor neuron diseases/amyotrophic lateral sclerosis of the World Federation of Neurology Research Group on Neuromuscular Diseases and the El Escorial “clinical limits of amyotrophic lateral sclerosis” workshop contributors. J Neurol Sci. 1994;124((Suppl)):96–107.
    1. Chiu IM, Chen A, Zheng Y, Kosaras B, Tsiftsoglou SA, Vartanian TK, Brown RH, Jr, Carroll MC. T lymphocytes potentiate endogenous neuroprotective inflammation in a mouse model of ALS. Proc Natl Acad Sci USA. 2008;105:17913–17918.
    1. Cools N, Van Tendeloo VF, Smits EL, Lenjou M, Nijs G, Van Bockstaele DR, Berneman ZN, Ponsaerts P. Immunosuppression induced by immature dendritic cells is mediated by TGF-beta/IL-10 double-positive CD4+ regulatory T cells. J Cell Mol Med. 2008;12:690–700.
    1. Czaplinski A, Yen AA, Simpson EP, Appel SH. Predictability of disease progression in amyotrophic lateral sclerosis. Muscle Nerve. 2006;34:702–708.
    1. Engelhardt JI, Tajti J, Appel SH. Lymphocytic infiltrates in the spinal cord in amyotrophic lateral sclerosis. Arch Neurol. 1993;50:30–36.
    1. Graves MC, Fiala M, Dinglasan LA, Liu NQ, Sayre J, Chiappelli F, van Kooten C, Vinters HV. Inflammation in amyotrophic lateral sclerosis spinal cord and brain is mediated by activated macrophages, mast cells and T cells. Amyotroph Lateral Scler Other Motor Neuron Disord. 2004;5:213–219.
    1. Haverkamp LJ, Appel V, Appel SH. Natural history of amyotrophic lateral sclerosis in a database population. Validation of a scoring system and a model for survival prediction. Brain. 1995;118:707–719.
    1. Henkel JS, Engelhardt JI, Siklos L, Simpson EP, Kim SH, Pan T, Goodman JC, Siddique T, Beers DR, Appel SH. Presence of dendritic cells, MCP-1, and activated microglia/macrophages in amyotrophic lateral sclerosis spinal cord tissue. Ann Neurol. 2004;55:221–235.
    1. Henkel JS, Beers DR, Siklós L, Appel SH. The chemokine MCP-1 and the dendritic and myeloid cells it attracts are increased in the mSOD1 mouse model of ALS. Mol Cell Neurosci. 2006;31:427–437.
    1. Henkel JS, Beers DR, Zhao W, Appel SH. Microglia in ALS: the good, the bad, and the resting. J Neuroimmune Pharmacol. 2009;4:389–398.
    1. Kawamata T, Akiyama H, Yamada T, McGeer PL. Immunologic reactions in amyotrophic lateral sclerosis brain and spinal cord tissue. Am J Pathol. 1992;140:691–707.
    1. Kollewe K, Mauss U, Krampfl K, Petri S, Dengler R, Mohammadi B. ALSFRS-R score and its ratio: a useful predictor for ALS-progression. J Neurol Sci. 2008;275:69–73.
    1. Lampson LA, Kushner PD, Sobel RA. Major histocompatibility complex antigen expression in the affected tissues in amyotrophic lateral sclerosis. Ann Neurol. 1990;28:365–372.
    1. Larbi A, Pawelec G, Witkowski JM, Schipper HM, Derhovanessian E, Goldeck D, Fulop T. Dramatic shifts in circulating CD4 but not CD8 T cell subsets in mild Alzheimer's disease. J Alzheimers Dis. 2009;17:91–103.
    1. Li M, Lin J, Wang Z, He S, Ma X, Li D. Oxidized low-density lipoprotein-induced proinflammatory cytokine response in macrophages are suppressed by CD4CD25(+)Foxp3(+) regulatory T cells through downregulating toll like receptor 2-mediated activation of NF-kappaB. Cell Physiol Biochem. 2010;25:649–656.
    1. Lincecum JM, Vieira FG, Wang MZ, Thompson K, De Zutter GS, Kidd J, Moreno A, Sanchez R, Carrion IJ, Levine BA, et al. From transcriptome analysis to therapeutic anti-CD40L treatment in the SOD1 model of amyotrophic lateral sclerosis. Nat Genet. 2010;42:392–399.
    1. Liu G, Ma H, Qiu L, Li L, Cao Y, Ma J, Zhao Y. Phenotypic and functional switch of macrophages induced by regulatory CD4(+)CD25(+) T cells in mice. Immunol Cell Biol. 2011;89:130–142.
    1. Mahnke K, Bedke T, Enk AH. Regulatory conversation between antigen presenting cells and regulatory T cells enhance immune suppression. Cell Immunol. 2007;250:1–13.
    1. Mantovani S, Garbelli S, Pasini A, Alimonti D, Perotti C, Melazzini M, Bendotti C, Mora G. Immune system alterations in sporadic amyotrophic lateral sclerosis patients suggest an ongoing neuroinflammatory process. J Neuroimmunol. 2009;210:73–79.
    1. Rentzos M, Evangelopoulos E, Sereti E, Zouvelou V, Marmara S, Alexakis T, Evdokimidis I. Alterations of T cell subsets in ALS: a systemic immune activation. Acta Neurol Scand. 2011;125:260–264.
    1. Reynolds AD, Stone DK, Mosley RL, Gendelman HE. Proteomic studies of nitrated alpha-synuclein microglia regulation by CD4+CD25+ T cells. J Proteome Res. 2009a;8:3497–3511.
    1. Reynolds AD, Stone DK, Mosley RL, Gendelman HE. Nitrated {alpha}-synuclein-induced alterations in microglial immunity are regulated by CD4+ T cell subsets. J Immunol. 2009b;182:4137–4149.
    1. Sakaguchi S, Miyara M, Costantino CM, Hafler DA. FOXP3+ regulatory T cells in the human immune system. Nat Rev Immunol. 2010;10:490–500.
    1. Saresella M, Calabrese E, Marventano I, Piancone F, Gatti A, Calvo MG, Nemni R, Clerici M. PD1 negative and PD1 positive CD4+ T regulatory cells in mild cognitive impairment and Alzheimer's disease. J Alzheimers Dis. 2010;21:927–938.
    1. Savage ND, de Boer T, Walburg KV, Joosten SA, van Meijgaarden K, Geluk A, Ottenhoff TH. Human anti-inflammatory macrophages induce Foxp3+ GITR+ CD25+ regulatory T cells, which suppress via membrane-bound TGFbeta-1. J Immunol. 2008;181:2220–2226.
    1. Seksenyan A, Ron-Harel N, Azoulay D, Cahalon L, Cardon M, Rogeri P, Ko MK, Weil M, Bulvik S, Rechavi G, et al. Thymic involution, a co-morbidity factor in amyotrophic lateral sclerosis. J Cell Mol Med. 2010;14:2470–2482.
    1. Shi N, Kawano Y, Tateishi T, Kikuchi H, Osoegawa M, Ohyagi Y, Kira J. Increased IL-13-producing T cells in ALS: positive correlations with disease severity and progression rate. J Neuroimmunol. 2007;182:232–235.
    1. Troost D, Van den Oord JJ, Vianney de Jong JM. Immunohistochemical characterization of the inflammatory infiltrate in amyotrophic lateral sclerosis. Neuropathol Appl Neurobiol. 1990;16:401–410.
    1. Troost D, van den Oord JJ, de Jong JM, Swaab DF. Lymphocytic infiltration in the spinal cord of patients with amyotrophic lateral sclerosis. Clin Neuropathol. 1989;8:289–294.
    1. Zhang R, Gascon R, Miller RG, Gelinas DF, Mass J, Hadlock K, Jin X, Reis J, Narvaez A, McGrath MS. Evidence for systemic immune system alterations in sporadic amyotrophic lateral sclerosis (sALS) J Neuroimmunol. 2005;159:215–224.
    1. Zhao W, Xie W, Xiao Q, Beers DR, Appel SH. Protective effects of an anti-inflammatory cytokine, interleukin-4, on motoneuron toxicity induced by activated microglia. J Neurochem. 2006;99:1176–1187.
    1. Zhu J, Paul WE. CD4+ T cell plasticity-Th2 cells join the crowd. Immunity. 2010;32:11–13.

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