Abstract
A potential therapeutic role for immune transformation in Parkinson’s disease evolves from more than a decade of animal investigations demonstrating regulatory T cell (Treg) nigrostriatal neuroprotection. To bridge these results to human disease, we conducted a randomized, placebo-controlled double-blind phase 1 trial with a well-studied immune modulator, sargramostim (granulocyte-macrophage colony-stimulating factor). We enrolled 17 age-matched non-Parkinsonian subjects as non-treated controls and 20 Parkinson’s disease patients. Both Parkinson’s disease patients and controls were monitored for 2 months for baseline profiling. Parkinson’s disease patients were then randomized into two equal groups to self-administer placebo (saline) or sargramostim subcutaneously at 6 μg/kg/day for 56 days. Adverse events for the sargramostim and placebo groups were 100% (10/10) and 80% (8/10), respectively. These included injection site reactions, increased total white cell counts, and upper extremity bone pain. One urticarial and one vasculitis reaction were found to be drug and benzyl alcohol related, respectively. An additional patient with a history of cerebrovascular disease suffered a stroke on study. Unified Parkinson’s disease rating scale, Part III scores in the sargramostim group showed modest improvement after 6 and 8 weeks of treatment when compared with placebo. This paralleled improved magnetoencephalography-recorded cortical motor activities and Treg numbers and function compared with pretreated Parkinson’s disease patients and non-Parkinsonian controls. Peripheral Treg transformation was linked to serum tryptophan metabolites, including L-kynurenine, quinolinic acid, and serotonin. These data offer a potential paradigm shift in modulating immune responses for potential therapeutic gain for Parkinson’s disease. Confirmation of these early study results requires larger numbers of enrolled patients and further clinical investigation.
Subject terms: Parkinson's disease, Neuroimmunology, Chronic inflammation, Immunotherapy
Immune modulation: translating the benefits
The immune system modulating drug sargramostim shows promising results in a small clinical trial with Parkinson’s disease (PD) patients. Previous studies have shown that sargramostim increases the number of regulatory T cells, attenuates immune responses, and confers neuroprotection in animal models of neurodegenerative disease. To determine whether these findings translate to humans, Howard E. Gendelman at the University of Nebraska Medical Center, USA, and colleagues examined the effects of sargramostim in 20 patients with PD. Despite the high number of mild to moderate reported adverse events, the drug was generally well tolerated and led to an increase in regulatory T cell number and activity. Moreover, preliminary assessments after 6 and 8 weeks of treatment suggested an overall improvement in the motor skills of patients that received the drug compared with those that received a placebo.
Introduction
PD, the most common neurodegenerative movement disorder, is a progressive and debilitating disease that affects up to 5 million people worldwide.1 Characteristic movement deficits parallel reductions in striatal dopamine and progressive loss of substantia nigra pars compacta dopaminergic neurons and their striatal connections. To date, therapy is nearly exclusively devoted to symptomatic control of disease manifestations.1 Considerable research efforts are underway to define disease mechanisms and as such develop novel therapies to affect disease outcomes. Indeed, despite knowledge of disease mechanisms, therapeutic modalities remain palliative.1 Considerable evidence supports the notion that immune alterations exist in PD. Such alterations can be modulated for “potential” therapeutic benefit.2 Mechanisms that could be harnessed for therapeutic gain rest in transforming neurotoxic innate and adaptive immune responses. Indeed, work performed by a number of laboratories have shown that Lewy bodies, containing aggregated and nitrated α-synuclein (N-α-syn), released into the extraneuronal environment induce activated macrophages and microglia and affect the emergence of effector T cell (Teff) populations.2–4 In animal models of PD, brain-infiltrating macrophages and microglia produce pro-inflammatory neurotoxins that damage surrounding nigral neurons. Such neurotoxin-producing cells can exacerbate disease outcomes as mediated by peripheral N-α-syn-induced Teff.5, 6 In contrast, regulatory T cells (Treg) maintain immunological tolerance, attenuate inflammation, and can positively modify disease at least in PD animal models.7, 8 As neurodestructive Th1 and Th17 cells can be transformed by pharmacological interventions into neuroprotective Treg, a platform has recently come operative to harness immunological responses for therapeutic gain.3
Sargramostim (Sanofi US, Bridgewater, NJ) is an Food and Drug Administration-approved human recombinant granulocyte-macrophage colony-stimulating factor known to affect myeloid recovery in patients receiving bone marrow transplantation or cancer therapy along with induction of Treg immune responses.9, 10 The latter was shown to protect against nigrostriatal neurodegeneration in rodent PD models.11, 12 However, sargramostim administered under regimens to counter myeloablative intervention or as adjunctive neoplastic therapy has mild adverse effects that include increased white blood cell (WBC) counts, injection site reactions, and bone or sternal pain, which may be self-limiting for some within aged populations.13 Despite mild adverse effects of sargramostim, we evaluated an immune-mediated neuroprotective compound as a potential therapy for PD. We found that on the whole sargramostim was well-tolerated, and the adverse effects observed were similar to the effects of this treatment in other patient populations. Our results demonstrated that sargramostim produced the expected immune transformation with the emergence of increased numbers and improved function of Treg. These desired immunological endpoints were confirmed by metabolomic and transcriptomic tests, showing engagement of the serum tryptophan metabolites that included L-kynurenine, quinolinic acid, and serotonin. Although the study was not powered for motor activity efficacy, nor was it long-term, positive effects on some patients' motor skill sets were seen. The results are of potential importance and warrant the consideration of larger-scale investigations. The clinical efficacy endpoints examined remain exploratory in nature and are also dependent on larger-scale monitoring.
Results
Demographics and baseline hematologic and immune profiles
In all, 22 PD patients and 17 non-Parkinsonian subjects were enrolled and assessed for eligibility. No significant differences in demographics were discernible between the PD patients and 17 non-PD subjects (Table 1). PD patients ranged from 53 to 76 years of age with a median and mean age of 64 with symptoms for 3–14 years (median 6 years and mean 7 years). Compared with non-PD subjects who exhibited a mean age of 65 years of age, the immune and WBC differential profiles for PD patients at entry exhibited increased frequencies of neutrophils and α4β7 integrin-expressing Teffs and Tregs, but decreased levels of CD39+ Tregs and basophils confirmed previously reported immune profiles.14
Table 1.
Non-Parkinsonian subjects | PD patients | |||
---|---|---|---|---|
Demographics a | N | Mean (SD) | N | Mean (SD) |
Age (years) | 17 | 65 (7) | 20 | 64 (7) |
Time since first symptoms (years) | n/a | n/a | 20 | 7 (3) |
Time since diagnosis (years) | n/a | n/a | 19 | 6 (3) |
UPDRS III score | n/a | n/a | 20 | 22 (8) |
N (Percentage) | N (Percentage) | |
---|---|---|
Male sex | 9 (53) | 16 (80) |
Caucasian race | 17 (100) | 20 (100) |
Job with pesticides | 1 (5) | 2 (10) |
Exposure to pesticides | 4 (24) | 10 (50) |
Job with chemical solvents | 4 (24) | 8 (40) |
Job with other chemical fumes | 4 (24) | 8 (40) |
Job with heavy metals | 2 (12) | 2 (10) |
Hematological parameter | Mean (SD) | Mean (SD) |
WBC × 103/μL | 6.3 (1.4) | 6.8 (1.6) |
RBC × 106/μL | 4.7 (0.4) | 4.7 (0.3) |
Hemoglobin, g/dL | 14.4 (1.1) | 14.4 (0.8) |
Hematocrit, % | 43.2 (6.6) | 43.1 (2.2) |
Mean corpuscular volume (MCV), fL | 91.6 (3.8) | 91.3 (4.1) |
Mean corpuscular hemoglobin concentration (MCHC), % | 33.2 (0.9) | 33.4 (0.7) |
Red cell distribution width (RDW), % | 13.2 (0.7) | 13.0 (1.1) |
Platelet count × 103/μL | 225.6 (37.9) | 233.0 (57.6) |
Neutrophils, % | 61.7 (5.6) | 66.0 (6.9)b |
Lymphocytes, % | 25.4 (6.0) | 23.2 (5.7) |
Monocytes, % | 8.5 (1.9) | 7.4 (1.3) |
Eosinophils, % | 2.9 (1.5) | 2.5 (1.4) |
Basophils, % | 1.0 (0.2) | 0.7 (0.4)b |
Neutrophil × 103/μL | 3.9 (1.0) | 4.6 (1.2) |
Lymphocytes × 103/μL | 1.6 (0.5) | 1.6 (0.5) |
Monocytes × 103/μL | 0.5 (0.1) | 0.5 (0.1) |
Eosinophils × 103/μL | 0.2 (0.1) | 0.2 (0.1) |
Basophils × 103/μL | 0.1 (0.0) | 0.0 (0.0) |
T cell panel | Mean (SD) | Mean (SD) |
CD3+, % | 70.5 (7.1) | 71.3 (8.5) |
CD3+/μL | 1162.7 (456.9) | 1123.2 (360.6) |
CD4+, % | 50.9 (7.2) | 49.2 (11.0) |
CD4+/μL | 835.9 (320.9) | 769.4 (263.6) |
CD8+, % | 18.9 (6.4) | 21.3 (8.1) |
CD8+/μL | 316.3 (183.2) | 342.6 (195.6) |
CD4+/CD8+ Ratio | 3.1 (1.0) | 2.9 (1.1) |
% Teff/CD4+ | 1.1 (0.4) | 1.1 (0.4) |
% α4β7 Integrin+/Teff | 8.3 (3.5) | 14.5 (10.6)b |
% Treg/CD4+ | 5.4 (1.2) | 5.4 (1.3) |
% FOXP3+/CD4+ | 8.9 (2.8) | 8.7 (2.6) |
% CD39+/Treg | 55.8 (15.8) | 41.6 (23.8)c |
% α4β7 Integrin+/Treg | 6.2 (2.1) | 8.6 (3.0)b |
n/a not applicable
a Demographic information obtained from controls and patients at the time of enrollment were used
b P < 0.05
c P ≤ 0.10 by Mann–Whitney U test
Sargramostim effects on primary safety endpoints and adverse events
Twenty PD patients randomized to receive sargramostim (N = 10) or placebo (N = 10) (Supplementary Fig. S1) showed similar demographics and pesticide/heavy metal exposure histories (Table 2). Seventy percent of the PD patients completed the study. All patients treated with sargramostim and 80% of placebo-treated patients reported at least one adverse event; the difference between the sargramostim group (10/10, 100%, 95% CI 72–100) and placebo group (8/10, 80%, 95% CI 49–94) was non-significant (hazard ratio 1.25, 95% CI 0.92–1.70). The most frequently reported adverse events among sargramostim-treated and placebo-treated patients, respectively, were injection site reactions (10/10, 100% vs. 4/10, 40%, P = 0.01), abnormal laboratory/WBC counts (10/10, 100% vs. 3/10, 30%, P = 0.003) and pain at sites other than injection sites included bone extremities, torso, pain, and chest-tightening (7/10, 70% vs. 3/10, 30%, P = 0.179) are all well-known associations with sargramostim administration and were considered mild adverse reactions.15 Eosinophil frequencies increased by 8-fold to 16-fold during sargramostim treatment (P < 0.0001), and all hematological values returned to baseline by 4 weeks after drug cessation. Physical examination and blood metabolic values were unremarkable during treatment.
Table 2.
Demographics | Placebo | Sargramostim | ||
---|---|---|---|---|
N | Mean (SD) | N | Mean (SD) | |
Age (years) | 10 | 67 (6) | 10 | 62 (7) |
Time since first symptoms (years) | 9 | 7 (3) | 10 | 7 (2) |
Time since diagnosis (years) | 10 | 5 (4) | 10 | 6 (3) |
UPDRS III score | 10 | 24 (10) | 10 | 20 (5) |
N (Percentage) | N (Percentage) | |
---|---|---|
Male sex | 8 (80) | 8 (80) |
Caucasian race | 10 (100) | 10 (100) |
Jobs with pesticides | 3 (30) | 0 (0) |
Exposure to pesticides | 7 (70) | 3 (30) |
Jobs with chemical solvents | 4 (40) | 4 (40) |
Jobs with other chemical fumes | 5 (40) | 4 (40) |
Jobs with heavy metals | 1 (10) | 1 (10) |
Adverse eventsa | ||
Any adverse event | 8 (80) | 10 (100) |
Any severe adverse events | 0 (0) | 3 (30) |
Any serious adverse events | 0 (0) | 1 (10) |
Adverse event leading to withdrawal | 0 (0) | 4 (40) |
Possible relationship to drug | 7 (70) | 10 (100) |
Definitive relationship to drug | 2 (20) | 7 (70) |
Categorya | ||
Injection site reaction | 4 (40) | 10 (100)b |
Abnormal laboratory values | 3 (30) | 10 (100)b |
Pain, other than injection site | 3 (30) | 7 (70) |
Pain, upper torso and extremities | 0 (0) | 7 (70)b,g |
Pain, lower torso and extremities | 3 (30) | 3 (30) |
Chest pain or discomfort | 0 (0) | 4 (40) |
Muscle, soreness, weakness | 4 (40) | 3 (30) |
Rash, other than injection site | 2 (20) | 4 (40) |
Shortness of breath, wheezing | 0 (0) | 3 (30) |
GI tract, nausea, vomiting | 0 (0) | 3 (30) |
Injury | 3 (30) | 2 (20) |
Headache | 2 (20) | 2 (20) |
Fatigue | 2 (20) | 2 (20) |
Infection, any | 2 (20) | 2 (20) |
Neurological, psychological, dyskinesia | 2 (20) | 2 (20) |
Chills, fever | 1 (10) | 2 (20) |
Itching, other than injection site | 0 (0) | 2 (20) |
Cardiovascular, hematological | 0 (0) | 2 (20) |
Skin, not infection | 3 (30) | 1 (10) |
Equilibrium | 1 (10) | 1 (10) |
Sleep anomalies | 1 (10) | 1 (10) |
Edema, other than injection site | 0 (0) | 1 (10) |
Ophthalmological | 0 (0) | 1 (10) |
Median (IQR) | Mean (SD) | Median (IQR) | Mean (SD) | |
---|---|---|---|---|
Severity of combined adverse eventsc | 1.2 (1.1–1.4) | 1.2 (0.1) | 1.7 (1.4–1.8)e | 1.6 (0.3) |
Likelihood of events being drug-relatedd | 2.4 (1.9–2.7) | 2.2 (0.6) | 3.8 (3.1–3.9)e | 3.6 (0.6) |
Severity of injection site reactionc | 1.5 (1.0–2.0) | 1.5 (0.6) | 1.0 (1.0–2.0) | 1.3 (0.5) |
Severity of pain, other than injection sitec,g | 1.0 (1.0–1.8) | 1.2 (0.5) | 2.0 (2.0–3.0) | 2.0 (0.7) |
Severity of pain, upper torso and extremitiesc,g | ndf | nd | 2.0 (1.8–2.0) | 2.0 (0.6) |
Severity of pain, lower torso and extremitiesc,g | 1.0 (1.0–1.8) | 1.2 (0.5) | 2.0 (1.5–3.0) | 2.1 (0.8) |
a Adverse events reported since the initiation of placebo/drug. More than two adverse advents per patient may have been reported; however, patients are only counted once within each category. The same patient may be counted in different categories
b P ≤ 0.01 by Fisher’s exact test
c Scored by attending physician; 1 = mild, 2 = moderate, 3 = severe
d Scored by attending physician; 1 = Unrelated, 2 = Unlikely, 3 = Possibly, 4 = Probably, 5 = Definite
e P ≤ 0.004 by Mann–Whitney U test
f nd no data
g The incidence of upper torso bone and musculoskeletal chest pain were higher in patients treated with sargramostim compared with placebo and was distinct from that associated with PD19–22
Mean (±standard deviation [SD]) severity scores for all adverse events were greater in the sargramostim group (1.6 ± 0.3) than in placebo group (1.2 ± 0.1) (P = 0.004). Event-associated severities for all pain sites between groups were not significantly different and ranged from mild and moderate (Table 2). Frequencies of patients with pain at sites other than injection sites that included upper and lower torso and extremities were not significantly different between treatment groups (P = 0.179). Pain severities as scored by the attending physician at injection sites and at sites other than injection sites including the extremities, the lower torso, and the upper torso and included “chest-tightening”, ranged from mild to moderate and were not significantly different between treatment groups (Table 2). Notably, during the 2 months of pre-treatment baseline observations in our study (visits 1–3), three patients reported pre-treatment pain (2/10, 20% in the sargramostim group vs. 1/10, 10% in the placebo group) (data not shown), suggesting that reported pain experienced during treatment was distinguishable from those attributable to PD. However, in the context of staggered enrollment and non-significant event frequencies among treatment groups, adverse events were not considered significant enough to break the study blind. The likelihood of a treatment-associated adverse event was greatest in the sargramostim group (P = 0.002) with likelihood scores ranging from possible to probable, while those in the placebo group ranged from unlikely to possible.
Severe events included a generalized hypersensitivity reaction, a leukocytoclastic vasculitis, and a thrombotic stroke; the latter two were deemed unlikely associated with drug. Notably, for the first patient enrolled, sargramostim was formulated with benzyl alcohol as a preservative. Administration of this formulation for 48 days led to the vasculitis, which responded successfully to formulation cessation and steroid treatment with complete symptom resolution. As benzyl alcohol was deemed vasculitis-associated, the preservative was removed from all subsequent preparations without further incidents of vasculitis. The subject who experienced stroke presented a previous history of hypertension and parallel co-morbid vascular events and were confirmed by magnetic resonance imaging examination. As there were no contraindications of sargramostim for cerebrovascular disease the subject remained in and completed the study. The four sargramostim-treated patients who withdrew from study included the two subjects with upper torso, bone pain, or chest-tightening (Supplementary Fig. S1, Table 2). Extensive work up demonstrated that none of these symptoms were linked to cardiac disease that was the precipitating concern that led to drug cessation decisions. Complete data sets for analysis were obtained for 66 visits by sargramostim-treated patients compared with 77 visits for placebo group. Serum anti-sargramostim antibodies were detected in the drug group by week 4 of treatment (visit 5), but diminished by week 8 (visit 7). Antibody levels were marginal at 4 weeks after drug cessation (Supplementary Fig. S2).
Sargramostim increases CD4+ Treg subsets and Treg-mediated suppression
The study yielded expected Treg induction outcomes. This provides clear evidence that sargramostim treatment can achieve the desired immunological endpoint. Sargramostim treatment resulted in higher numbers of CD3+ and CD4+ T cells (Supplementary Fig. S3b, d) with increasing, though not significant, frequencies when compared with placebo (Supplementary Fig. S3a, c). Frequencies and numbers of CD8+ T cells (Supplementary Fig. S3e, f) and ratios of CD4+ and CD8+ cells (Supplementary Fig. S3g) were unaffected. Frequencies of CD4+ Teffs remained unchanged regardless of whether sargramostim or placebo was administered (Fig. 1a). In contrast, sargramostim treatment increased frequencies of CD4+CD127loCD25hi Tregs as early as 2 weeks, which remained elevated thereafter (Fig. 1b, c). Tregs exhibited higher frequencies of subsets that express CD39 and FAS (CD95), or intracellular CTLA4 (iCTLA4) (Fig. 1d–f). Treg function was assessed as the ability to suppress CD3/CD28-stimulated proliferation of CD4+CD25− Tresps. Baseline Treg function in PD patients was diminished (P = 0.07) compared with non-PD subjects (Table 1, Fig. 1g, Entry), thus confirming results from our previous study.14 Prior to treatment, Treg function was similar among both randomized PD patient groups (Fig. 1h, Pre-Treatment). In contrast, treatment with sargramostim increased Treg activity compared with pre-treatment (differences in slopes, P = 0.04) and to placebo group (differences in slope, P = 0.06 and elevation, P = 0.07) (Fig. 1i).
Sargramostim induces immune-linked metabolites and augments suppressor activity
Sargramostim-mediated increases in Treg frequency and function suggested the possible prevalence of systemic conditions conducive for Treg development. To assess that possibility, serum from PD patients prior to, during, and after treatment with sargramostim or placebo were assessed by global untargeted metabolomic analyses. Six-hundred metabolites were dysregulated following sargramostim treatment compared with controls (Fig. 2a). Using the mummichog algorithm,16 significant alterations in the tryptophan pathway (P < 0.002) were found with links to inflammation, immunological tolerance, and Treg function (Fig. 2b). To delineate those alterations, targeted metabolomics for the tryptophan pathway yielded levels of three key metabolites from sargramostim-treated patients that differed significantly from pre-treatment or post-treatment levels and levels from placebo-treated patients (Fig. 2c, d). L-Kynurenine concentration from the sargramostim group was 2.3-fold and 3.0-fold higher than those from pre-treated or placebo-treated patients, respectively; and quinolinic acid concentration was 2.4-fold higher than those from either pre-treated or placebo-treated patients. Both metabolites returned to baseline levels by 4 weeks after treatment. In contrast, serotonin levels from sargramostim-treated patients diminished 2.5-fold (P = 0.03) and 2.2-fold (P = 0.054) from levels of pre-treated and placebo-treated patients.
Sargramostim induces a complex pattern of immune activation in CD4+CD25− T cells
The presence of both pro-inflammatory and anti-inflammatory mediators in sargramostim-treated patients posed putative mechanisms for relationships between immunity and clinical outcomes. Thus, the effects of sargramostim on T cell gene expression were examined in a random subset of patients. Five placebo-treated and four sargramostim-treated PD patients were evaluated. CD4+ T cells were isolated from whole blood and depleted of CD25+ Tregs and Teffs. RNA from CD4+CD25− T cells was isolated and cDNA made for quantitative real-time Polymerase Chain Reaction (PCR) to determine expressed genes linked to Th1, Th2, Th17, and Treg. Expectedly, sargramostim induced a significant upregulation of mRNAs associated with T cell proliferation (GATA4, IL2, HOXA10, and KIF2C) (Fig. 3a). Moreover, with increased Treg numbers and function induced by sargramostim, anti-inflammatory PPARG, LRRC32, FOSL1, IL1R2, IL13RA1, NR4A3, and GFI1 gene expression was increased. Sargramostim upregulated expression of genes associated with pro-inflammatory Th1 and Th17 effectors (IL17RE, IL17A, RORC, IL18, and EOMES), despite a demonstrated lack of increased Teff numbers in sargramostim-treated patients. These data demonstrate a complex pro-inflammatory and anti-inflammatory gene expression and network interaction by T cells poised for Treg or Teff differentiation during sargramostim therapy (Fig. 3b).
Sargramostim improves motor and cortical motor activities
This study was not powered to evaluate clinical outcomes on motor activity, nor was it a long-term study. Thus, the clinical assessments are exploratory in nature. We monitored UPDRS III scores over 2 months (visits 1–3) prior to treatment initiation to establish a pre-treatment baseline. Comparison to baseline, treatment did not appear to worsen motor scores (Fig. 4a). However, while inter-patient variation precluded meaningful statistical analysis of the total UPDRS III scores per visit for each patient, the relative low profiles of scores over visitation from sargramostim-treated patients suggested an overall improvement compared with the placebo group. To confirm that observation, we assessed for each patient, changes from mean baseline score at each visit during pre-treatment (visits 1–3), during treatment (visits 4–7), and after cessation of treatment (visit 8). We showed that compared with placebo treatment, sargramostim showed effects associated with treatment, visit, and treatment-by-visit (Fig. 4b). A transient reduction in score of the placebo group at visit 3 was seen which returned to baseline during the study course. For the sargramostim group, scores diminished over the 8-week treatment period by a mean of 3.1 ± 0.5 (P = 0.004) compared with 0.5 ± 1.3 (P = 0.78) for the placebo group. The greatest changes in UPDRS III scores were found at 6 and 8 weeks (visits 6 and 7) on sargramostim (Fig. 4b). Score changes returned to baseline by 4 weeks (visit 8) after treatment cessation.
We also used magnetoencephalography (MEG) as a biomarker for motor function. Our previous studies showed decreased beta event-related desynchronization (ERD) amplitudes in the motor hand-knob region of the precentral gyrus in PD patients compared with healthy controls.17, 18 In this study, we found no significant differences in beta ERD activity in the placebo group (baseline vs. on-treatment or on-treatment vs. treatment termination) in any motor-related region. In the sargramostim group, beta ERD amplitudes significantly increased from baseline to on-treatment in the left precentral gyrus, right precentral gyrus, right premotor cortex, and supplementary motor area (SMA) (P < 0.005, cluster-corrected; Fig. 4c, top panel). Notably, each patient exhibited increased beta ERD amplitudes on sargramostim when compared with baseline measures (Fig. 4c, bottom panel).
Discussion
Sargramostim was generally well-tolerated by PD patients. Overall frequencies of patients experiencing adverse events between sargramostim and placebo groups were not significantly different and were confined to increased injection site reactions, increased WBC counts, or upper torso or extremity bone pain; all reported adverse effects to therapy with sargramostim.13 Mild side effects such as extremity or torso pain representing bone marrow replenishment are associated with these types of constitutional symptoms such as bone and muscle ache or minor pain and are helped by nonsteroidal drugs or acetaminophen. Sternal or non-cardiac chest pain or “chest tightening” was rated as moderate to severe symptoms. These torso and extremity pains described for sargramostim are readily distinguishable from the common types of pain experience by patients with PD.19 Meta-analysis of pain in PD for 18 studies and 15,636 cases revealed a mean prevalence of pain in 58.36% of patients that included a relatively wide variation ranging from 11 to 83%.20 The wide variability in prevalence is due, in part, to lack of (1) visibility to the physician, (2) reporting by the patient, (3) treatment priority if reported, and (4) attention to sufficient objective signs that are disregarded.21 Distribution of pain types in PD includes musculoskeletal pain (48%), dystonic pain (26%), neuropathic pain (13%), and non-localized/central pain (8%).20, 22 Musculoskeletal pain originates from rigidity or skeletal deformity due to Parkinsonism. Dystonic pain is related to involuntary muscular contractions and is often associated with anti-Parkinsonian medication. Neuropathic pain is thought to be related to the central dopaminergic deficit. Non-localized/central neuropathic pain is a burning pain with spontaneous onset and periods of exacerbation. It is poorly localized and is more intense on the affected side.
Sargramostim treatment was associated with significantly transformed immune function and sera metabolites. Treatment-associated improvements in UPDRS III scores and cortical motor electrical activities paralleled one another as well as the immune biomarker changes. These findings are supported by a number of prior animal and clinical studies for PD2, 3, 5, 11, 14, 23–25 and other neurodegenerative disorders.26–28 Indeed and as in this report, it is now well known that control of pro-inflammatory signals by Tregs is a focus of clinical research activities to develop novel neurotherapeutics for a range of neuroinflammatory and neurodegenerative disorders. By suppression of T cell proliferation and production of a broad range of anti-inflammatory cytokines that includes, for example, interleukin-10 and transforming growth factor-β, Tregs can in fact ameliorate the pathobiology and clinical signs and symptoms of progressive neuronal degeneration. Moreover an imbalance of effector and regulatory immune cells can affect systemic inflammatory and metabolic processes and predict disease progression. This has been previously uncovered for a spectrum of disorders beyond PD that include Alzheimer’s disease, stroke, and amyotrophic lateral sclerosis.26, 27, 29–31 Thus, restoring or increasing Treg frequency and enhancing their suppressive activities by immune modulators such as sargramostim is believed to be a novel yet promising approach for treating these disorders.
For PD, N-α-syn, the dominant protein in dopaminergic neuronal inclusions, induces potent neurotoxic Teffs that can accelerate nigrostriatal degeneration.5, 32 Transformation of Teff responses by Tregs leads to significant dopaminergic neuronal protection3 and proportional changes in numbers of interferon-γ-producing Th1, IL-4-producing Th2, and CD4+CD25+ T cells are linked to the tempo of disease progression.14, 33 However, whether sargramostim-induced changes in T cell profiles could affect PD pathobiology remained unknown. This possibility is bolstered by drug correction of PD-associated Treg dysfunction and improved motor task outcomes.
Parallel observations as shown herein were reported in a spectrum of autoimmune and neurodegenerative diseases.30, 34–37 Thus for Tregs, defining the tempo, phenotype, and functional role in disease is bolstered by their known abilities to attenuate microglial inflammatory responses and ongoing neurodegeneration. Gene array evaluations showed that sargramostim had multiple effects on peripheral T cells, supporting the idea that an established neuroinflammatory environment was required to affect a regulatory cell profile. This unique idea of cooperative pro-inflammatory and anti-inflammatory neuroprotection was supported by our metabolomics studies. Here, tryptophan pathway dominance was associated with flow cytometric Treg activity. While 5-hydroxytryptophan is converted to serotonin,38 tryptophan is, in parallel, converted to kynurenine by indoleamine-pyrrole 2,3-dioxygenase (IDO), and kynurenine is further metabolized to quinolinic acid.39–41 IDO expression and kynurenine production induce Treg formation. Notably, IDO can be increased by both anti-inflammatory and pro-inflammatory cytokines42 as is seen in Parkinsonian patients.43
The clinical observations are exploratory in nature in this study with a relatively small sample size and short duration. It does seem clear, however, that sargramostim does not worsen motor function. The suggestion of improved motor function, along with the apparent biomarker responses measured by MEG, is intriguing and will need to be evaluated more fully in larger studies.
Taken together, our findings show that sargramostim treatment in PD is feasible and reasonably well-tolerated. They support the idea that the effects of sargramostim on T cell polarity change depending on the brain-immune environment. The induction of Tregs, modulation of Teffs, and overall improvement of immune modulatory activities by Tregs is a novel pathway that corrects aberrant immune responses during PD. The therapeutic potential of sargramostim awaits larger confirmatory studies.
Materials and methods
Participants and study design
This single-center, randomized, double-blind, phase 1 clinical trial was performed at the University of Nebraska Medical Center (UNMC), Omaha, NE, USA, to test the safety and tolerability of sargramostim for PD. Twenty-two PD patients were recruited from the metropolitan area between 24 September 2013 and 14 August 2015 for an intention to treat design. The final follow-up was 8 January 2016. Inclusion criteria were 35–85 years of age at onset with symptoms of asymmetric bradykinesia and resting tremor or muscle rigidity persisting for ≥3 years, and ≤stage 4 by Hoehn and Yahr disease scale.44 Seventeen age-matched non-Parkinsonian subjects served as non-PD controls. Exclusion criteria included multiple system atrophy, corticobasal degeneration, unilateral Parkinsonism lasting of >3 years, prior head injury, stroke, brain surgery, a PD family history of >1 blood relative with the disease, mental illness, cognitive impairment, and autoimmune, systemic inflammatory or hematologic disease. Patients were excluded if administered lithium, neuroleptics, immune modulatory treatment within 90 days of study onset or had allergies to benzyl alcohol, colony-stimulating factors, yeast-derived products, or ferrous metal body implants. The trial was completed as designed.
Standard protocol approvals, registrations, and patient consents
The research protocol (IRB Protocol 487-12) was approved by the UNMC Institutional Review Board. Patients were identified and referred to the Clinical Research Center (CRC) by their primary physician. Written informed consent was obtained from all participants by CRC personnel following the Good Clinical Practice guidelines. This trial is registered at ClinicalTrials.gov, Identifier: NCT01882010.
Randomization and masking
PD patients were randomized at a 1:1 ratio to receive sargramostim or placebo. Randomization and assignment was performed at the time of accrual since participant enrollment was staggered. Patients were block randomized by the study statistician in randomly chosen blocks of 2 or 4, and the list was given to the trial pharmacist for drug and placebo preparation. The pharmacist prepared identical syringes of sargramostim and placebo to provide doses necessary for 2 weeks. Examining physicians and medical personnel were blinded to treatment assignment. Randomly generated three-letter codes identified patient blood samples and were used throughout the study to monitor processing, analyses, and safety.
Procedures
This trial was performed in two parts. In the first part, non-PD subjects and PD patients had three pre-treatment appointments at −8, −4, and 0 weeks (visits 1–3) to determine a comparative baseline; after which, the non-PD subjects were dismissed. In the second part beginning at visit 3, 20 PD patients administered by subcutaneous self-injection either sargramostim at 6 μg/kg/day (10 patients) or a placebo of weight-based volume of saline/day (10 patients) for 56 days.15 PD patients continued with appointments every 2 weeks for 2 months (visits 4–7), and a follow-up visit (visit 8) 4 weeks after treatment cessation. All enrolled patients that received at least one treatment dose were analyzed for primary outcomes. Blood samples, physical examinations, and unified Parkinson’s disease rating scale, part III (UPDRS III) evaluations were performed during each visit. The primary neurologist performed UPDRS III assessments in a double-blinded fashion in the “ON” state. All but one patient maintained their individually prescribed anti-Parkinsonian regimen throughout the study.
Study drug was withheld for ~24 h prior to each visit. WBC counts with differentials, immunocyte (leukocyte) numbers, and sera metabolites were monitored. Immunocytes obtained from peripheral blood were stained with fluorochrome-conjugated monoclonal antibodies against CD4 (FITC or AF700), CD127 (PerCP-Cy5.5), CD25 (PE), FOXP3/Scurfin (AF647), CD152/CTLA-4 (APC), CD95/FAS/Apo1 (APC), CD39/ENTPD1 (APC), Integrin β7 (APC) (all BD Biosciences, San Jose, CA) and CD49d/Integrin α4 (PE-Cy7) (BioLegend Inc., San Diego, CA). Isotype-matched antibodies were negative controls. For FOXP3 and iCTLA4, cells were permeabilized with BD Cytofix/Cytoperm kit (BD Biosciences). Cell surface and intracellular T cell epitopes were examined with an LSR II flow cytometer (BD Biosciences). For Treg function, CD4+CD127loCD25hi cells were enriched by negative selection using a Complete Kit for Human CD4+CD127loCD25+ and CD4+CD127lo enrichment (Stemcell Technologies, Vancouver, Canada). CD25+ Tregs were 89 ± 8% (mean ± SD) of the enriched CD4+ cell population. Naïve CD4+CD25− responder T cells (Tresps) were isolated from healthy donors for proliferation tests.14 For T cell gene expression, CD4+CD25− T cells were enriched by MACS column negative selection (Miltenyi Biotech, San Diego, CA). mRNA was isolated from Treg-depleted and Teff-depleted CD4+ T cells, reverse transcribed, and cDNA subjected to real-time PCR using the RT2 Profiler Human T Helper Cell Differentiation array (Qiagen, Valencia, CA). Fold-changes were determined using the RT2 Profiler PCR array data analysis software version 3.5.
Serum was submitted for antibody and metabolomic profiling. IgG or IgM anti-sargramostim antibodies were screened by enzyme-linked immunosorbent assay (ELISA) and immunoprecipitation and titers confirmed by endpoint ELISA and by neutralization tests using a luciferase-reported functional assay. For metabolomics, sera was extracted in acetonitrile/methanol, resuspended in acetonitrile/water, sonicated, and analyzed.45 Targeted metabolomic analyses employed reverse phase high-performance liquid chromatograph-mass spectrometry.
Recent reports suggest the utility of MEG in monitoring neurophysiological activity, motor dysfunction, and therapeutic outcomes in PD and other neurodegenerative disorders.17, 18, 46–49 For these studies, cortical neurophysiological activity during a right-hand movement task was recorded using high-density MEG.17, 18 Activity was recorded at 4 weeks (visit 2) before treatment, 8 weeks (visit 7) after initiation of treatment, and 4 weeks (visit 8) after drug cessation. Participants were recorded after 12 h off Parkinsonian medications. MEG data were individually corrected for head motion and noise.50 Artifact-free epochs were transformed into the time-frequency domain, and the movement-related beta ERD response (14–24 Hz, −300 ms to 200 ms, movement onset = 0 ms) was imaged using beamforming.18, 51, 52
Outcomes
The primary study endpoint was safety as monitored by complete blood counts with differentials, blood metabolic panels, adverse events, and UPDRS III scores. Hematologic panels were performed by the hospital’s clinical laboratory. Regimen-blinded neurologists recorded examinations of blood pressure, pulse, skin, lung, liver, heart, and abdomen. UPDRS III scores were measured in the “ON” state. Physical examinations were unremarkable in all cases. Adverse events were recorded in treatment diaries by patients and by physicians who scored (1–3) events by severity as (1) mild, (2) moderate, or (3) severe, and scored (1–5) whether the event was (1) unrelated, (2) unlikely, (3) possible, (4) probable, or (5) definitely related to the study drug. Mild events cause minimal discomfort or concern, may require minimal or no treatment, and do not interfere with daily activities. Moderate events were defined as discomfort, inconvenience, or concerns ameliorated with simple therapeutic measures. Severe adverse events were defined as discomfort or incapacitation that may require prescription drug therapy, other treatments, or interventions. Secondary outcomes were MEG neurophysiological activities, immune phenotype and function, and serum metabolomics.
Statistical analyses
Sample size estimates of 16 PD and 16 non-PD controls for baseline observations (−8 weeks) were determined to provide 80% power using a two-sided Wilcoxon test assuming normal distribution and a mean percent change from baseline of 0.80. This yielded an overall mean immune response score of 6.32 (SD of 0.97).14 To assess sargramostim effects on immune responses, a sample size of eight in each treatment group was determined to provide a 95% CI equal to the sample mean ± 0.81. All participants that received at least one treatment dose were included. Statistical analyses were conducted using SAS/STAT software (version 9.2 or higher; SAS Institute Inc., Cary, NC) or Statistica (version 9, StatSoft, Tulsa, OK), with tests being two-sided. The frequency of adverse events was compared between groups using the Fisher’s exact test (Prism, v6, GraphPad Software, Inc., La Jolla, CA). CD4+ T cell subsets, function, gene expression, antibody titers, and metabolites were compared between treatment groups using a two independent samples t-test or Mann–Whitney U test. For MEG, a 2 × 3 mixed-model ANOVA statistical evaluation used peak voxels from each significant brain region with treatment as a between-subjects factor and visit as a repeated factor. For Treg function, percentage inhibition of proliferation was determined at each Treg:Tresp ratio as slope and axis-intercepts by linear regression (Prism, v6). A data and safety monitoring board of UNMC physicians and faculty advised study investigators.
Electronic supplementary material
Acknowledgements
The authors would like to acknowledge and thank the many participants who supported the trial. We are greatly appreciative of Jonathon Beck, Pharm D, Director of Investigational Drug Services, who graciously served as the clinical pharmacist. We are grateful to Amy Hellman, MD, Kenneth A. Follett, MD, PhD, and the nursing and support staff at the Great Plains Center for Clinical and Translational Research who provided outstanding insights and suggestions relevant to the study design and patient care. We thank the Flow Cytometry Research Facility for expert analysis of T cell subsets and proliferation assays. We thank Max J. Kurz, PhD, Director of the Sensorimotor Learning Laboratory, for his supportive work and cross-validating work regarding the objective biomechanical measures of motor skills. We especially thank members of our data safety and monitoring board that included Philip Bierman, MD, Christopher Kratochvil, MD, and R. Gregory Bociek, MD, for their frequent reading, discussion, and advisement for these works. We thank Ms. Robin Taylor for critical reading and advisement of the manuscript. We most graciously thank the many patients and control subjects that participated in this trial and contributed their time, commitment, personal sacrifice, dedication, and tireless efforts to ensure its outcomes. Lastly, we thank the past and present Chancellors of the University of Nebraska Medical Center Harold Maurer, MD, and Jeffrey Gold, MD, for their untiring support and commitment to this work. This study was funded by Sanofi US; by community support received through the Carol Swarts Neuroscience Research Laboratory, the Frances and Louis Blumkin Foundation, and the Nebraska Neuroscience Alliance Endowed Funds; by the Vice-Chancellor’s Office of the UNMC for Core Facility Developments, and by DoD grant uni and NIH grants R01-NS034139 and R01-NS070190.
Author contributions
Contributions by listed authors include literature searches (H.E.G., K.E.O., C.R.S., K.A.E., M.F., G.S., T.W.W., and R.L.M.), study design (H.E.G., Y.Z., K.E.O., C.R.S., K.A.E., E.H.-G., L.L., J.L.M., E.F., T.W.W., C.P., and R.L.M.), study execution (H.E.G., Y.Z., P.S., K.E.O., C.R.S., D.H., B.L.D.S., Y.L., K.A.E., E.H.-G., L.L., E.F., G.S., T.W.W., C.P., and R.L.M.), data collection (H.E.G., Y.Z., P.S., K.E.O., C.R.S., D.H., B.L.D.S., Y.L., K.A.E., E.H.-G., L.L., E.F., G.S., T.W.W., C.P., and R.L.M.), analyses of data sets (H.E.G., Y.Z., P.S., K.E.O., C.R.S., B.L.D.S., Y.L., K.A.E., E.H.-G., J.L.M., M.F., E.F., G.S., T.W.W., and R.L.M.), interpretation of data analyses (H.E.G., P.S., K.E.O., C.R.S., D.H., B.L.D.S., Y.L., K.A.E., E.H.-G., J.L.M., M.F., E.F., G.S., T.W.W., and R.L.M.), preparation of figures (H.E.G., K.E.O., C.R.S., E.H.-G., M.F., G.S., T.W.W., and R.L.M.), and writing the manuscript (H.E.G., K.E.O., C.R.S., D.G.S., E.H.-G., J.L.M., M.F., E.F., G.S., T.W.W., and R.L.M.). H.E.G. and R.L.M. serve as guarantors for the manuscript’s data.
Competing interests
All authors indicate no competing interests.
Electronic supplementary material
Supplementary Information accompanies the paper on the npj Parkinson’s Disease website (doi:10.1038/s41531-017-0013-5).
References
- 1.Olanow CW, Stern MB, Sethi K. The scientific and clinical basis for the treatment of Parkinson disease. Neurology. 2009;72:S1–S136. doi: 10.1212/WNL.0b013e3181a1d44c. [DOI] [PubMed] [Google Scholar]
- 2.Mosley RL, Hutter-Saunders JA, Stone DK, Gendelman HE. Inflammation and adaptive immunity in Parkinson’s disease. Cold Spring Harb. Perspect. Med. 2012;2:a009381. doi: 10.1101/cshperspect.a009381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Reynolds AD, et al. Regulatory T cells attenuate Th17 cell-mediated nigrostriatal dopaminergic neurodegeneration in a model of Parkinson’s disease. J. Immunol. 2010;184:2261–2271. doi: 10.4049/jimmunol.0901852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Shameli A, et al. A critical role for alpha-synuclein in development and function of T lymphocytes. Immunobiology. 2016;221:333–340. doi: 10.1016/j.imbio.2015.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Benner EJ, et al. Nitrated alpha-synuclein immunity accelerates degeneration of nigral dopaminergic neurons. PLoS ONE. 2008;3:e1376. doi: 10.1371/journal.pone.0001376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hirsch, E. C. et al. Animal models of Parkinson’s disease in rodents induced by toxins: an update. J. Neural. Transm. Suppl.65, 89–100 (2003). [DOI] [PubMed]
- 7.Sakaguchi S. Naturally arising CD4+ regulatory T cells for immunologic self-tolerance and negative control of immune responses. Annu. Rev. Immunol. 2004;22:531–562. doi: 10.1146/annurev.immunol.21.120601.141122. [DOI] [PubMed] [Google Scholar]
- 8.Coombes JL, Robinson NJ, Maloy KJ, Uhlig HH, Powrie F. Regulatory T cells and intestinal homeostasis. Immunol. Rev. 2005;204:184–194. doi: 10.1111/j.0105-2896.2005.00250.x. [DOI] [PubMed] [Google Scholar]
- 9.Rowin J, et al. Granulocyte macrophage colony-stimulating factor treatment of a patient in myasthenic crisis: effects on regulatory T cells. Muscle Nerve. 2012;46:449–453. doi: 10.1002/mus.23488. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Smith TJ, et al. 2006 update of recommendations for the use of white blood cell growth factors: an evidence-based clinical practice guideline. J. Clin. Oncol. 2006;24:3187–3205. doi: 10.1200/JCO.2006.06.4451. [DOI] [PubMed] [Google Scholar]
- 11.Kosloski LM, Kosmacek EA, Olson KE, Mosley RL, Gendelman HE. GM-CSF induces neuroprotective and anti-inflammatory responses in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine intoxicated mice. J. Neuroimmunol. 2013;265:1–10. doi: 10.1016/j.jneuroim.2013.10.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Mangano EN, et al. Granulocyte macrophage-colony stimulating factor protects against substantia nigra dopaminergic cell loss in an environmental toxin model of Parkinson’s disease. Neurobiol. Dis. 2011;43:99–112. doi: 10.1016/j.nbd.2011.02.011. [DOI] [PubMed] [Google Scholar]
- 13.Baldo BA. Side effects of cytokines approved for therapy. Drug Saf. 2014;37:921–943. doi: 10.1007/s40264-014-0226-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Saunders JA, et al. CD4+ regulatory and effector/memory T cell subsets profile motor dysfunction in Parkinson’s disease. J. Neuroimmune Pharmacol. 2012;7:927–938. doi: 10.1007/s11481-012-9402-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Korzenik JR, Dieckgraefe BK, Valentine JF, Hausman DF, Gilbert MJ. Sargramostim for active Crohn’s disease. N. Engl. J. Med. 2005;352:2193–2201. doi: 10.1056/NEJMoa041109. [DOI] [PubMed] [Google Scholar]
- 16.Li S, et al. Predicting network activity from high throughput metabolomics. PLoS Comput. Biol. 2013;9:e1003123. doi: 10.1371/journal.pcbi.1003123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Heinrichs-Graham E, et al. Hypersynchrony despite pathologically reduced beta oscillations in patients with Parkinson’s disease: a pharmaco-magnetoencephalography study. J. Neurophysiol. 2014;112:1739–1747. doi: 10.1152/jn.00383.2014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Heinrichs-Graham E, et al. Neuromagnetic evidence of abnormal movement-related beta desynchronization in Parkinson’s disease. Cereb. Cortex. 2014;24:2669–2678. doi: 10.1093/cercor/bht121. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Allen NE, Moloney N, van Vliet V, Canning CG. The rationale for exercise in the management of pain in Parkinson’s disease. J. Parkinsons Dis. 2015;5:229–239. doi: 10.3233/JPD-140508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Rana AQ, Kabir A, Jesudasan M, Siddiqui I, Khondker S. Pain in Parkinson’s disease: analysis and literature review. Clin. Neurol. Neurosurg. 2013;115:2313–2317. doi: 10.1016/j.clineuro.2013.08.022. [DOI] [PubMed] [Google Scholar]
- 21.Toda K, Harada T. Prevalence, classification, and etiology of pain in Parkinson’s disease: association between Parkinson’s disease and fibromyalgia or chronic widespread pain. Tohoku J. Exp. Med. 2010;222:1–5. doi: 10.1620/tjem.222.1. [DOI] [PubMed] [Google Scholar]
- 22.Beiske AG, Loge JH, Ronningen A, Svensson E. Pain in Parkinson’s disease: prevalence and characteristics. Pain. 2009;141:173–177. doi: 10.1016/j.pain.2008.12.004. [DOI] [PubMed] [Google Scholar]
- 23.Gendelman HE, Mosley RL. A perspective on roles played by innate and adaptive immunity in the pathobiology of neurodegenerative disorders. J. Neuroimmune Pharmacol. 2015;10:645–650. doi: 10.1007/s11481-015-9639-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Lacan G, et al. Bacillus Calmette-Guerin vaccine-mediated neuroprotection is associated with regulatory T-cell induction in the 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine mouse model of Parkinson’s disease. J. Neurosci. Res. 2013;91:1292–1302. doi: 10.1002/jnr.23253. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Chung ES, et al. Bee venom phospholipase A2, a novel Foxp3+ regulatory T cell inducer, protects dopaminergic neurons by modulating neuroinflammatory responses in a mouse model of Parkinson’s disease. J. Immunol. 2015;195:4853–4860. doi: 10.4049/jimmunol.1500386. [DOI] [PubMed] [Google Scholar]
- 26.Henkel JS, et al. Regulatory T-lymphocytes mediate amyotrophic lateral sclerosis progression and survival. EMBO Mol. Med. 2013;5:64–79. doi: 10.1002/emmm.201201544. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Liesz A, et al. Boosting regulatory T cells limits neuroinflammation in permanent cortical stroke. J. Neurosci. 2013;33:17350–17362. doi: 10.1523/JNEUROSCI.4901-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Raj T, et al. Polarization of the effects of autoimmune and neurodegenerative risk alleles in leukocytes. Science. 2014;344:519–523. doi: 10.1126/science.1249547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Dansokho C, et al. Regulatory T cells delay disease progression in Alzheimer-like pathology. Brain. 2016;139:1237–1251. doi: 10.1093/brain/awv408. [DOI] [PubMed] [Google Scholar]
- 30.Ye M, et al. Neuroprotective effects of bee venom phospholipase A2 in the 3xTg AD mouse model of Alzheimer’s disease. J. Neuroinflammation. 2016;13:10. doi: 10.1186/s12974-016-0476-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Spitz C, et al. Regulatory T cells in atherosclerosis: critical immune regulatory function and therapeutic potential. Cell. Mol. Life Sci. 2016;73:901–922. doi: 10.1007/s00018-015-2080-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Brochard V, et al. Infiltration of CD4+ lymphocytes into the brain contributes to neurodegeneration in a mouse model of Parkinson disease. J. Clin. Invest. 2009;119:182–192. doi: 10.1172/JCI36470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Baba Y, Kuroiwa A, Uitti RJ, Wszolek ZK, Yamada T. Alterations of T-lymphocyte populations in Parkinson disease. Parkinsonism Relat. Disord. 2005;11:493–498. doi: 10.1016/j.parkreldis.2005.07.005. [DOI] [PubMed] [Google Scholar]
- 34.Olson KE, Gendelman HE. Immunomodulation as a neuroprotective and therapeutic strategy for Parkinson’s disease. Curr. Opin. Pharmacol. 2016;26:87–95. doi: 10.1016/j.coph.2015.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Piedavent-Salomon M, et al. Multiple sclerosis associated genetic variants of CD226 impair regulatory T cell function. Brain. 2015;138:3263–3274. doi: 10.1093/brain/awv256. [DOI] [PubMed] [Google Scholar]
- 36.Sheng JR, Li LC, Ganesh BB, Prabhakar BS, Meriggioli MN. Regulatory T cells induced by GM-CSF suppress ongoing experimental myasthenia gravis. Clin. Immunol. 2008;128:172–180. doi: 10.1016/j.clim.2008.03.509. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wang F, et al. Splenocytes derived from young WT mice prevent AD progression in APPswe/PSENldE9 transgenic mice. Oncotarget. 2015;6:20851–20862. doi: 10.18632/oncotarget.4930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Mbongue, J. C. et al. The role of indoleamine 2, 3-dioxygenase in immune suppression and autoimmunity. Vaccines3, 703–729 (2015). [DOI] [PMC free article] [PubMed]
- 39.Hill M, et al. IDO expands human CD4+ CD25high regulatory T cells by promoting maturation of LPS-treated dendritic cells. Eur. J. Immunol. 2007;37:3054–3062. doi: 10.1002/eji.200636704. [DOI] [PubMed] [Google Scholar]
- 40.Kwidzinski E, Bechmann I. IDO expression in the brain: a double-edged sword. J. Mol. Med. 2007;85:1351–1359. doi: 10.1007/s00109-007-0229-7. [DOI] [PubMed] [Google Scholar]
- 41.Heyes MP, Chen CY, Major EO, Saito K. Different kynurenine pathway enzymes limit quinolinic acid formation by various human cell types. Biochem. J. 1997;326:351–356. doi: 10.1042/bj3260351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Munn DH, Mellor AL. Indoleamine 2,3 dioxygenase and metabolic control of immune responses. Trends Immunol. 2013;34:137–143. doi: 10.1016/j.it.2012.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Brodacki B, et al. Serum interleukin (IL-2, IL-10, IL-6, IL-4), TNFalpha, and INFgamma concentrations are elevated in patients with atypical and idiopathic Parkinsonism. Neurosci. Lett. 2008;441:158–162. doi: 10.1016/j.neulet.2008.06.040. [DOI] [PubMed] [Google Scholar]
- 44.Goetz CG, et al. Movement disorder society task force report on the hoehn and yahr staging scale: status and recommendations. Mov. Disord. 2004;19:1020–1028. doi: 10.1002/mds.20213. [DOI] [PubMed] [Google Scholar]
- 45.Deguchi H, et al. Acylcarnitines are anticoagulants that inhibit factor Xa and are reduced in venous thrombosis, based on metabolomics data. Blood. 2015;126:1595–1600. doi: 10.1182/blood-2015-03-636761. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wiesman AI, et al. Quiet connections: reduced fronto-temporal connectivity in nondemented Parkinson’s disease during working memory encoding. Hum. Brain Mapp. 2016;37:3224–3235. doi: 10.1002/hbm.23237. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Oswal A, et al. Deep brain stimulation modulates synchrony within spatially and spectrally distinct resting state networks in Parkinson’s disease. Brain. 2016;139:1482–1496. doi: 10.1093/brain/aww048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.van Wijk BC, et al. Subthalamic nucleus phase-amplitude coupling correlates with motor impairment in Parkinson’s disease. Clin. Neurophysiol. 2016;127:2010–2019. doi: 10.1016/j.clinph.2016.01.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.te Woerd ES, Oostenveld R, Bloem BR, de Lange FP, Praamstra P. Effects of rhythmic stimulus presentation on oscillatory brain activity: the physiology of cueing in Parkinson’s disease. Neuroimage Clin. 2015;9:300–309. doi: 10.1016/j.nicl.2015.08.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Taulu S, Simola J. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Phys. Med. Biol. 2006;51:1759–1768. doi: 10.1088/0031-9155/51/7/008. [DOI] [PubMed] [Google Scholar]
- 51.Van Veen BD, van Drongelen W, Yuchtman M, Suzuki A. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans. Biomed. Eng. 1997;44:867–880. doi: 10.1109/10.623056. [DOI] [PubMed] [Google Scholar]
- 52.Hillebrand A, Singh KD, Holliday IE, Furlong PL, Barnes GR. A new approach to neuroimaging with magnetoencephalography. Hum. Brain Mapp. 2005;25:199–211. doi: 10.1002/hbm.20102. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.