Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Biomarker Exploration in Human Peripheral Blood Mononuclear Cells for Monitoring Sulforaphane Treatment Responses in Autism Spectrum Disorder

Abstract

Autism Spectrum Disorder (ASD) is one of the most common neurodevelopmental disorders with no drugs treating the core symptoms and no validated biomarkers for clinical use. The multi-functional phytochemical sulforaphane affects many of the biochemical abnormalities associated with ASD. We investigated potential molecular markers from three ASD-associated physiological pathways that can be affected by sulforaphane: redox metabolism/oxidative stress; heat shock response; and immune dysregulation/inflammation, in peripheral blood mononuclear cells (PBMCs) from healthy donors and patients with ASD. We first analyzed the mRNA levels of selected molecular markers in response to sulforaphane ex vivo treatment in PBMCs from healthy donors by real-time quantitative PCR. All of the tested markers showed quantifiability, accuracy and reproducibility. We then compared the expression levels of those markers in PBMCs taken from ASD patients in response to orally-delivered sulforaphane. The mRNA levels of cytoprotective enzymes (NQO1, HO-1, AKR1C1), and heat shock proteins (HSP27 and HSP70), increased. Conversely, mRNA levels of pro-inflammatory markers (IL-6, IL-1β, COX-2 and TNF-α) decreased. Individually none is sufficiently specific or sensitive, but when grouped by function as two panels, these biomarkers show promise for monitoring pharmacodynamic responses to sulforaphane in both healthy and autistic humans, and providing guidance for biomedical interventions.

Introduction

Autism Spectrum Disorder (ASD) is one of the most common neurodevelopmental disorders that, in the United States, is currently estimated to affect 1 out of 59 children who are 8 years old1. Despite decades of research and advances in our knowledge of the etiologies of ASD, treatments and biomarkers for ASD remain limited2,3,4,5. To date, the primary diagnosis of ASD still relies on observational tools that are by nature subjective3,6. Genetic and metabolic studies may provide additional clues to specific etiologies or treatments, but there are no generally accepted biological markers for commonly affected cellular pathways in ASD5,6.

Studies over the last two decades have implicated that physiological and metabolic abnormalities, such as immune dysregulation/neuro-inflammation, redox imbalance/oxidative stress, mitochondrial dysfunction, environmental toxicant exposures and gut dysbiosis, are important aspects of the pathophysiology of ASD6. Closer examination of the biological markers of pathways associated with ASD could be informative regarding its pathophysiology, and might be useful for early identification, prognosis and treatment. Most importantly, they might guide treatment strategies and enable clinicians to monitor treatment responses3,7.

Since ASD is multi-factorial and multiple genes have been implicated with no specific drug targets, strategies using multi-functional phytochemicals are highly attractive. Sulforaphane [1-isothiocyanato-4-(methylsulfinyl)-butane, SF] is a dietary phytochemical, derived from its biologically inactive precursor glucoraphanin (GR) that is widely consumed in the edible cruciferous plant, broccoli (Brassica oleracea var. italica). SF is produced by the action of the enzyme myrosinase, which is present in cruciferous plant cells and is normally segregated from GR until the cells are ruptured8,9. Myrosinase is also produced by the microflora of the gastrointestinal tract of all healthy humans10,11. For over two decades, evidence of the beneficial effects of SF has accumulated, extending from in vitro studies, to animal models, to a variety of clinical studies6,12,13,14,15. Importantly, there are currently no drugs approved to treat the core symptoms of ASD, nor are there any studies using SF in genetic mouse models of ASD16. The cytoprotective potential of SF extending even to maternal dietary supplementation to prevent perinatal brain injury has been considered17. In our previous placebo-controlled, double-blinded, randomized clinical trial, daily administration of SF for 4-18 weeks substantially improved the behavioral abnormalities of the majority of 26 young males with moderate to severe ASD without significant toxicity18,19.

SF is a multi-functional phytochemical that acts upon many of the same biochemical and molecular (biomarker) pathways in which abnormalities have been ascribed to ASD, including oxidative stress, mitochondrial dysfunction, and neuroinflammation6,20,21,22,23,24,25,26,27. SF is one of the most potent naturally occurring inducers of mammalian cytoprotective enzymes through the Kelch-like ECH associated protein 1 (Keap1)/Nuclear factor erythroid 2-related factor 2 (Nrf2)/antioxidant response element (ARE) signaling pathway (Fig. 1). Nrf2 activation is increasingly understood to play a significant role in ameliorating many diseases, including neurological disorders28. This is in part a consequence of the recognized role of oxidative stress and chronic inflammation as causative factors for these disorders, and Nrf2 is the master regulator of cellular redox homeostasis and an inhibitor of inflammation, both of which are critical factors in the neuropathology of ASD29,30. The brain is particularly vulnerable to oxidative stress because of its high oxygen consumption, high content of unsaturated fatty acids and transition metals, and low antioxidant defense capacities31,32. SF has also shown strong anti-inflammatory activity in various settings, including animal models of neuroinflammation25,33,34. The anti-inflammatory activity of SF is partially Nrf2-dependent35 and is additionally mediated through inhibition of the nuclear factor-κB (NF-κB) pathway (Fig. 1), resulting in decreased expression of many cytokines and other pro-inflammatory factors36,37. Nrf2 itself also exhibits robust anti-inflammatory activity through at least three independent and critical mechanisms: modulation of redox metabolism; crosstalk with NF-κB; and direct negative regulation of proinflammatory genes6,26,32,35,38,39,40.

Figure 1
figure1

Major signaling pathways for protective mechanisms against ASD by SF. (a) Keap1/Nrf2/ARE pathway, (b) NF-κB inflammatory pathway, (c) heat-shock responses. (modified from Liu et al.6).

Although the widespread anecdotal reports of the fever response in a substantial fraction of autistic patients have been corroborated41,42, the mechanisms of the “fever effect” in patients with ASD are just beginning to be understood43. Fever may activate general cellular stress responses, which involve at least two cellular signaling pathways: the Keap1/Nrf2/ARE cytoprotective pathway and the heat shock/proteasomal pathway that protects against a wide variety of disturbances of cellular functions, and these two pathways are interrelated44,45. SF has been shown to be an efficient inducer of a number of heat shock proteins (HSPs) in several human cell lines46,47,48, suggesting that activation of the heat shock response could be another contributing factor to SF-mediated protection in ASD.

In search for biomarkers for monitoring responses to SF treatment in ASD, we investigated several potential molecular markers from three ASD-associated basic physiological pathways that can be affected by SF (Fig. 1a–c): (1) redox metabolism/oxidative stress, (2) heat shock response, and (3) immune dysregulation/inflammation, in peripheral blood mononuclear cells (PBMCs). To optimize the methodology, we first isolated PBMCs from fresh human blood from healthy donors, and exposed these cells to SF ex vivo. We then examined a subset of these markers in PBMCs from blood taken from subjects with ASD before and after 14 d of daily ingestion of a SF-providing nutritional supplement, calculated to deliver approximately the same daily dose of SF as was provided in our previous study18. Criteria evaluated for the biomarkers in these PBMCs included quantifiability, accuracy and reproducibility of the assay methods, as well as sensitivity and responsiveness to both ex vivo and in vivo SF treatments.

Results

Sulforaphane induced cytoprotective gene expression in human PBMCs with ex vivo treatment

There is a long history of studies showing that ASD is associated with oxidative stress and diminished antioxidant capacity49,50,51. Eukaryotic organisms have developed highly efficient protective mechanisms, which do not normally operate at their maximal capacity, but can be induced to maintain cellular redox homeostasis and to reduce oxidative stress by production of direct antioxidants, and by induction of detoxifying enzymes, primarily through the Keap1/Nrf2/ARE pathway (Fig. 1)21,52,53. Much evidence also points to the neuroprotective role of HSPs, and the enhanced susceptibility of cells to damage when HSPs are suppressed54.

To evaluate the potential of using the expression levels of some of these cytoprotective genes as biomarkers for ASD treatment with SF, we first analyzed the mRNA levels of selected molecular markers of the Keap1/Nrf2/ARE pathway and the heat shock pathway in response to SF ex vivo treatment in human PBMCs isolated from healthy donors. Expression of Keap1/Nrf2/ARE pathway-related markers, including Nrf2, Keap1, NAD(P)H: quinone oxidoreductase-1 (NQO1), heme oxygenase-1 (HO-1), and aldo-keto reductases (AKR1C1 and AKR1B10), were analyzed by quantitative real-time PCR. NQO1, HO-1 and AKR1C1 were significantly induced by 6-h SF treatment. This time point was chosen based on our earlier observations of the kinetics of upregulation of Nrf2-dependent genes by SF, and was expected to capture the increased mRNA production of both very fast (HO-1) and relatively slow (NQO1) responders55. Interestingly, AKR1C1 was the most highly inducible Nrf2-target gene (up to a 5-fold increase), but the functionally-related AKR1B10 was not inducible. The mRNA levels for Keap1 increased slightly, and those for Nrf2 did not change significantly in response to SF treatment (Fig. 2a).

Figure 2
figure2

Cytoprotective gene expression in human PBMCs from healthy donors in response to SF ex vivo treatment. (a) Single dose. (b) Three consecutive, and lower daily doses. In each case assessment was made 6 hours following the final dose. Means ± SD are shown. Symbols *(P < 0.05) or **(P < 0.01) indicate statistical differences between treatments and controls by two-tailed Student’s t-test.

Expression of HSP70 and HSF1, two markers of heat shock response, were also analyzed in PBMCs by real-time PCR. HSP70 was slightly but significantly elevated by SF treatment, whereas HSF1 did not change (Fig. 2a).

Notably, there was no concentration-dependence in the induction of any of the genes examined, with the higher (5 μM) concentration of SF even showing a slightly diminished effect for the induction of AKR1C1 and NQO1. Although this concentration is achievable in vivo55, more typical peak concentrations of SF (and its metabolites) in human plasma are 1-2 μM56. In order to evaluate whether PBMCs would respond to repeated, lower dose SF ex vivo treatment, isolated PBMCs from healthy donors were exposed to vehicle (0.1% acetonitrile) or low concentration SF (0.5 μM) repeatedly, every 24 hours for 3 consecutive days, which we felt would be more relevant to the clinical condition, although SF metabolites in this scenario might not be identical to in vivo treatment. Six hours after the last treatment, cells were collected and the expression of the same markers was analyzed. AKR1C1 was significantly induced by this multiple low dose SF treatment to similar extent as by a single higher dose SF treatment, while NQO1 was significantly, but less robustly induced by this lower concentration of SF (Fig. 2b). None of the other genes that we measured were significantly altered by repeated low dose SF treatments (Fig. 2b).

Sulforaphane decreased pro-inflammatory gene expression stimulated by LPS in human PBMCs with ex vivo treatment

Inflammation and immune dysregulation have been observed both within the brain and in the periphery in ASD patients6,51,57,58,59,60,61,62,63. Increased expression of immune-related genes, production of atypical pro-inflammatory cytokines and other inflammatory factors, all lead to a chronic state of inflammation in the central nervous system and in the peripheral immune system of ASD patients51,64,65. Expression of pro-inflammatory markers can be up-regulated by inflammatory mediators such as the bacterial endotoxin lipopolysaccharide (LPS), through the I kappa B kinase (IκK)/NF-κB pathway (Fig. 1). In addition, postnatal LPS challenge (at days 5 and 7 after birth) has been reported to cause depressive, anxiety-like, repetitive behavior, and working memory deficits in pre-adolescent (35-day-old) male mice66. We therefore treated PBMCs obtained from healthy donors with 1 ng/mL or 10 ng/mL of LPS for 5 hours, following which, expression of pro-inflammatory markers inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), tumor necrosis factor-α (TNF-α), interlukin-6 (IL-6) and interlukin-1β (IL-1β) were analyzed by real-time PCR. All inflammatory markers except for iNOS were responsive to the LPS stimulation, especially IL-6 and IL-1β (up to several hundred-fold), and were more responsive to the lower dose of LPS (Fig. 3a). Thirty minutes pre-treatment by SF inhibited the LPS-stimulated up-regulation of COX-2, TNF-α, IL-6 and IL-1β expression up to 80% of control levels (Fig. 3b).

Figure 3
figure3

Pro-inflammatory gene expression in human PBMCs from healthy donors in response to LPS stimulation (a) and to SF pre-treatment plus LPS stimulation (b). Means ± SD are shown. Symbols *(p < 0.05) or **(p < 0.01) indicate statistical differences between treatments and controls by two-tailed Student’s t-test (a,b), and symbol ##(p < 0.01) indicates statistical differences between LPS stimulation and SF pre-treatment plus LPS stimulation (b).

Biomarkers show consistent responsiveness to SF ex vivo treatment over time in human PBMCs

In order to evaluate the consistency of the above-analyzed markers, PBMCs were isolated from fresh human blood drawn for three consecutive weeks from the same healthy donor. Basal gene expression levels were analyzed in these PBMCs. Although there were differences in the mRNA levels for a few markers among sets of three consecutive blood draws from the same donor (Fig. 4), these differences were negligible when compared to the fold changes of these markers after stimulation (Fig. 5).

Figure 4
figure4

Basal gene expression levels in human PBMCs isolated from three blood samples of the same healthy donor. Means ± SD are shown. Symbols *(p < 0.05) or **(p < 0.01) indicate statistical differences among three blood draws by one-way ANOVA.

Figure 5
figure5

Consistency of gene expression in human PBMCs from healthy donors in response to ex vivo treatment among three blood samples of the same healthy donor. Means ± SD are shown. Symbols *(p < 0.05) or **(p < 0.01) indicate statistical differences among three blood draws by one-way ANOVA, and symbols ##(p < 0.01) or ###(p < 0.001) indicate statistical differences between treatments by two-tailed Student’s t-test.

A portion of the PBMCs from the three blood draws were identically treated with vehicle (0.1% acetonitrile) or SF for 6 h, and cytoprotective markers of the Keap1/Nrf2/ARE pathway and the heat shock response were compared. In a separate experimental setting, PBMCs isolated from the above mentioned three blood draws were identically treated with SF for 30 min and then LPS for an additional 5 h, followed by the comparison of pro-inflammatory markers. Although there were differences among the three repeated blood draws for most of the markers (indicated by * or ** in Fig. 5), these differences were negligible when compared to the differences of these markers between pre- and post-treatment (indicated by ## or ### in Fig. 5).

Biomarker evaluation in PBMCs from ASD patients with in vivo SF treatment

As a pilot study for a clinical trial of SF in children with ASD (clinicaltrials.gov NCT02561481), we evaluated the same biomarkers from the ex vivo studies in 10 young males with ASD, 6-12 years of age (Table 1), who received SF (in the form of a dietary supplement containing GR and myrosinase), 2.2 μmol/kg/d for 14 days. We chose this dietary supplement, because it represents a highly standardized commercially available source of SF that could be easily obtained by patients and caregivers. Blood and urine samples were collected before and at the end of treatment. This study design allowed for each patient to serve as his own control. Notably, a placebo group was not included for biomarker evaluation in this pilot study, because it is difficult to subject ASD children to blood draws, and there are no endogenous sources of SF in human tissues, as we have shown in a previous placebo-controlled study67. There were no serious adverse events; one was judged by his parents to be more hyperactive, one had increased urinary frequency, two had increased flatus, one had nausea, and one complained of unpleasant taste. No clinical changes were reported by the families of 8 of the 10 participants. The parents of one child reported increased eye contact and sound sleep, another had improved behavior.

Table 1 Sulforaphane bioavailability as a function of treatment.

We used excretion of total isothiocyanates (ITC) and their metabolites (dithiocarbamates, DTC) in urine as a proxy for the bioavailability of GR delivered. Timed urine collection at the end of 14 days were used to determine excretion of SF and its metabolites as DTC by cyclocondensation reaction-HPLC assay. DTC levels were also measured in the plasma. The non-detectable or extremely low pre-dose DTC levels in both urine and plasma samples indicated that, as instructed, no patient was consuming a diet or supplements containing glucosinolates or ITC, including SF (Table 1). Conversion of GR to SF (bioavailability) was calculated as percent of dose excreted in collected urine samples, and was normalized on a molar equivalence basis (moles of GR to moles of SF plus its metabolites as determined in the cyclocondensation reaction). Conversion efficiencies varied among subjects from 8.2% to 68.4% of the administered dose, which is consistent with the data we and others have previously reported on bioavailability in adults11,68,69. Post-dose plasma DTC levels were closely related to the time between last dose and blood draw, with lower levels at less than 2 h or more than 14 h, and higher levels between 9-10 h after the last dose (Table 1). In addition, the plasma DTC value for each patient was well correlated with the conversion efficiency calculated in his urine sample, taking the time between last dose and blood draw into consideration.

Using PBMCs isolated from blood samples of six of the ten ASD subjects in the pilot study, we compared the expression levels of 9 molecular markers related to our hypothesized mechanisms of the action of SF. These markers were selected in large part based on their responsiveness to SF ex vivo treatment, with (a) AKR1C1, NQO1, HO-1 serving as markers for the Keap1/Nrf2/ARE cytoprotective pathway; (b) COX-2, TNF-α, IL-6 and IL-1β serving as markers for the inflammatory pathway; and (c) HSP70 and HSP27 serving as markers for the heat shock response.

Overall, the magnitude of change of all markers examined was smaller in the in vivo than it was in the ex vivo treatments. Although there was considerable variability among subjects, after 2 weeks of oral administration of this dietary supplement, the expression of the Nrf2-target genes NQO1, HO-1, and AKR1C1, as well as the heat shock response markers HSP27 and HSP70, were elevated in PBMCs from patients with ASD (Fig. 6a). Conversely, the levels of pro-inflammatory markers (IL-6, IL-1β, COX-2 and TNF-α) decreased (Fig. 6b). When differences between pre-dose (relative expression set at 1.0) and post-dose for all the tested markers were analyzed individually by two-tailed paired t-test, only the differences in COX-2 expression were significant (p = 0.014). However, grouping by broad functionality (e.g. cytoprotective or pro-inflammatory), differences from baseline were highly significant at the 95% confidence level by ANOVA (F1,52 = 8.82, p < 0.005 for cytoprotective genes and F1,46 = 9.25, p < 0.004 for pro-inflammatory genes) (Fig. 6c).

Figure 6
figure6

Gene expression level changes in PBMCs from 6 patients with ASD after SF intervention. SF was orally administered daily at the dose of 2.2 μmol/kg body weight in the form of GR plus myrosinase for two weeks. Expression level of each gene immediately prior to treatment was set as control. (a) Cytoprotective genes. (b) Pro-inflammatory genes. (c) Grouped genes by broad functionality (e.g. cytoprotective or pro-inflammatory). Differences between pre-dose and post-dose for individual markers were analyzed by two-tailed paired t-test, and p-values for each marker are the numbers in parentheses above the top error bars (a,b). Differences of grouped markers from baseline were analyzed by one-way ANOVA, and symbol ** indicates highly significant statistical difference (p < 0.01) (c). Data points for each subject (a,b) or means of each group of genes (c) are plotted. Horizontal lines within boxes are means.

Discussion

Development of reliable ASD biomarkers is critical for elucidating ASD pathobiology, improving diagnosis and monitoring therapeutic effects. The brain is the central affected organ in ASD, despite significant comorbidities in other systems, notably the gastrointestinal tract. Studies examining neural tissue are, therefore, likely to be more informative than analyses of other tissues in terms of understanding the pathogenesis of brain dysfunction in ASD. However, brain biopsy- or cerebrospinal fluid-based biomarkers are invasive, MRI and PET-based imaging biomarkers are expensive and difficult to perform, which limits their appeal to both patients and physicians. There is now growing interest in identification of molecular biomarkers that are less- or non-invasive, cost-effective, and readily available in clinical settings. Therefore, reliable blood-based biomarkers are considered essential for ASD.

We used human PBMCs isolated from blood of healthy donors and patients with ASD to explore potential biomarkers in response to SF in ASD. Expression of markers of three signaling pathways related to ASD pathophysiology were evaluated by quantitative real-time PCR. Three representative Nrf2-dependent enzymes, AKR1C1, NQO1 and HO-1, were significantly induced by 6 h of 2 μM or 5 μM SF ex vivo treatments in PBMCs from healthy donors. However, AKR1B10 was not induced. In the hands of other investigators, the AKR1 subfamily of aldo-keto reductases was the most highly upregulated family of genes through the Keap1/Nrf2 pathway in human gut mucosa and different cell lines70,71,72; these genes were thus thought to be good biomarker candidates. We chose AKR1C1 and AKR1B10 as Nrf2-dependent markers in our study since they were highly responsive to SF treatment in human breast epithelial cells and keratinocytes71,72. Notably however, although AKR1C1 and AKR1B10 share Nrf2 as a transcriptional regulator, AKR1B10 is also regulated by p5373. AKR1C1 and NQO1, but not HO-1, were also induced by a lower dose of SF (0.5 μM) over a 3-day treatment. Although the heat shock response marker HSP70 was not very responsive to the SF concentrations we used for the ex vivo treatment, the change was statistically significant following treatment for 6 h with 2 or 5 μM SF. We also evaluated expression of the transcription factors of the above two pathways, Nrf2 and HSF1, in response to SF treatment in PBMCs from healthy donors. Nrf2 is primarily regulated at the level of its protein stability, whereas HSF1 is mainly regulated by post-translational modifications. As expected, their expression levels were not responsive to SF ex vivo treatment. However, comparing their basal expression levels in PBMCs from ASD patients to age-matched healthy controls may provide valuable information on pathological mechanisms of ASD. An earlier clinical study showed that Nrf2 mRNA levels are substantially depressed in granulocytes of ASD children (45% of the levels in typically developing children)74. Keap1, as the cytoplasmic regulator of Nrf2 activity, had slightly increased expression following SF treatment, however, SF induces the Nrf2-dependent enzymes mainly through modifying specific and highly reactive cysteine residues of Keap1 and not by changing its expression13,75. Moreover, SF ex vivo pre-treatment significantly decreased the LPS-stimulated inflammatory gene (COX-2, TNF-α, IL-6 and IL-1β) expression levels in PBMCs from healthy donors.

Although variable basal gene expression levels are manifest in PBMCs of different blood donors, the trends of their responsiveness to treatment were similar. More importantly, basal gene expression of our tested markers in PBMCs from different blood draws from the same donor were very similar, and the differences in responsiveness to treatment among the PBMCs from different blood draws were negligible when compared to the fold changes of these markers in response to treatments. Therefore, these markers have the potential to serve as biomarker candidates.

This study represents our attempt to develop biomarkers and explore molecular basis of the treatment effects of SF on patients with ASD. The in vivo evaluation of selected markers is a pilot study for a clinical trial of SF in children with ASD (clinicaltrials.gov NCT02561481). By executing this pilot study, we expected to gather information on the reproducibility of individual biomarker values and magnitudes of changes resulting from short term SF intervention and to identify the precise biomarker endpoints that would be measured in the main clinical trial. Although we collected urine and blood samples from 10 subjects, unfortunately, the RNA quality from PBMCs of the first 3 participants was compromised due to inappropriate processing and storage, and 1 participant had a gastrointestinal infection at the time of the post-treatment blood draw, which limited our in vivo biomarker evaluation to samples from 6 participants. Perhaps due to the relatively small sample size, the increased expression of individual cytoprotective markers (NQO1, AKR1C1, HO-1, HSP70 and HSP27) and the decreased expression of most individual pro-inflammatory markers (IL-6, IL-1β and TNF-α), except that of COX-2, after 2 weeks of SF treatment did not reach statistical significance. However, the functionally grouped markers showed great potential as panel biomarkers to guide treatment strategies and enable clinicians to monitor treatment responses. In addition, our pilot study only exposed participants to SF for 2 weeks, which is less than the exposure that resulted in changes in clinical symptoms in our previous study18. Longer exposure times may well be necessary, and the correlation between biomarker changes and clinical improvements will be reported from the recently completed full clinical trial.

In conclusion, in the above ex vivo and in vivo experiments using human PBMCs from healthy donors and patients with ASD, the tested markers show potential as biomarkers for monitoring SF responses in humans. They are quantifiable, and the assay method is accurate and reproducible; the samples are readily obtainable in quantities needed for measurement, and sampling is minimally invasive. Most importantly, the biomarkers show sensitivity and consistent responsiveness to SF treatment both ex vivo and in vivo. Although as a single marker, none of them is specific or sensitive enough, these biomarkers, grouped by function as two panels, show promise in monitoring responses to treatments, and in providing guidance for the selection and efficacy of biomedical interventions. We conducted this study in the context of ASD, however our findings have broader implications and suggest that these biomarkers can be used in any study involving an intervention with SF.

Methods

Participants and treatment

For the ex vivo experiments, 7 healthy adult donors were recruited. Blood was drawn a single time from 5 donors. Two of them each had blood drawn weekly, for 3 consecutive weeks. All experiments were performed in accordance with relevant guidelines and regulations at Johns Hopkins University and informed consent was obtained from all participants prior to blood collection, under a research protocol approved by the Institutional Review Board of Johns Hopkins University School of Medicine (NA_00036496).

As a pilot study for a clinical trial of SF in children with ASD (clinicaltrials.gov NCT02561481), 10 young males with ASD, 6-12.5 years of age (mean, 9.9 years) were recruited to evaluate potential blood-based biomarkers in response to oral SF treatment. This study was conducted at the UMass Memorial Medical Center and University of Massachusetts Medical School, and Johns Hopkins University with approval from the Institutional Review Boards of both institutions (IRBH00007832 and IRB00084331). The diagnosis of moderate to severe ASD was confirmed by testing using the Autism Diagnostic Observation Schedule (ADOS)76 and all subjects had screening medical histories, examinations and normal clinical laboratory screening following parental consent. Each subject received SF in the form of Avmacol tablets (crushable), each containing 12.5-15 mg glucoraphanin (GR, the precursor of SF) and active plant-derived myrosinase (the enzyme that converts GR to SF). Tablets were provided along with a COA, by Nutramax Laboratories, Inc. (Edgewater, Maryland, USA), under an IND from the US FDA. Dosing was calibrated to ca. 2.2 μmol SF/kg body weight per day for 14 days. Subjects’ blood and urine samples were collected before, and at the end of the treatment period. All experiments were performed in accordance with relevant guidelines and regulations at University of Massachusetts and Johns Hopkins University.

Blood sample collection and PBMC isolation

Eight mL of whole blood were drawn from the participants into Vacutainer CPT tubes (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) at room temperature and processed for PBMC isolation according to the instructions from the manufacturer. Briefly, blood in a CPT tube was centrifuged, PBMCs suspended in a small amount of plasma were transferred to a 50-mL conical tube, and PBMCs were washed twice with phosphate buffered saline. Isolated PBMC pellets from healthy donors were re-suspended in warm RPMI 1640 culture medium with 10% heat-inactivated FBS for ex vivo treatment. PBMC pellets isolated from ASD patients were stored at −80 °C for future RNA isolation.

Ex vivo treatment of PBMCs

PBMCs isolated from blood of a healthy donor were plated in 6-well plates (~4 × 106 cells/well) in RPMI 1640 medium plus 10% heat-inactivated FBS. After incubation for 2 h, some of the cells were treated with vehicle (0.1% acetonitrile) or SF (2 μM and 5 μM) for 6 h, or exposed to vehicle (0.1% acetonitrile) or low dose SF (0.5 μM) repeatedly for 3 consecutive days. Meanwhile, some of the PBMCs were exposed to vehicle or SF for 30 min and then lipopolysacharide (LPS) for an additional 5 h to stimulate inflammatory response. After treatments, cells were collected for RNA isolation.

Total RNA isolation and quantitative real-time PCR

Total cellular RNA was isolated from PBMCs using the RNeasy mini kit (Qiagen, Valencia, CA, USA). RNA quantity and quality were measured with the NanoDrop2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA) and complementary DNAs (1 µg) were synthesized using the iScript cDNA Synthesis Kit (Bio-Rad Laboratories, Hercules, CA, USA). Quantitative real-time PCR analysis was performed using the Applied Biosystems QuantStudio 3 Real-Time PCR System (Thermo Fisher Scientific, Waltham, MA, USA). All primers were optimized, and a final primer concentration of 300 nM was used for all reactions. Primer sequences for gene amplification are shown in Table 2. The reactions were assembled using 2.5~25 ng of cDNA, 1× PowerUp SYBR Green Master Mix (Applied Biosystems, Thermo Fisher Scientific, Waltham, MA, USA), forward and reverse primers, and nuclease-free water. Relative mRNA expression was normalized to GAPDH. Gene expression was calculated using the comparative 2−ΔΔCT method77,78.

Table 2 Sequences of real-time PCR primers.

Statistical analysis

All conclusions drawn for ex vivo studies were derived from at least three independent experiments. Results shown in Figs. 25 were means ± SD of three replicates for every real-time PCR reaction within a representative experiment. Differences between treatments and controls were evaluated by two-tailed Student’s t-test with p < 0.05 or p < 0.01 being considered statistically significant or highly significant, respectively. Differences among three or more groups were analyzed by one-way analysis of variance (ANOVA). For in vivo studies with ASD patients, the differences between pre-dose and post-dose expression levels of each tested marker were evaluated by two-tailed paired t-tests. Grouped markers were analyzed by one-way ANOVA.

Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable requests.

References

  1. 1.

    Baio, J. et al. Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2014. MMWR Surveill. Summ. 67, 1–23 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  2. 2.

    Frye, R. E. & Rossignol, D. A. Treatments for biomedical abnormalities associated with autism spectrum disorder. Front. Pediatr 2, 66 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  3. 3.

    Goldani, A. A., Downs, S. R., Widjaja, F., Lawton, B. & Hendren, R. L. Biomarkers in autism. Front. Psychiatry 5, 100 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Oztan, O. et al. Biomarker discovery for disease status and symptom severity in children with autism. Psychoneuroendocrinology 89, 39–45 (2018).

    Article  CAS  Google Scholar 

  5. 5.

    Shen, L. et al. Advances in biomarker studies in autism spectrum disorders. Adv. Exp. Med. Biol. 1118, 207–233 (2019).

    Article  CAS  Google Scholar 

  6. 6.

    Liu, H., Talalay, P. & Fahey, J. W. Biomarker-guided strategy for treatment of autism spectrum disorder (ASD). CNS Neurol. Disord. Drug Targets 15, 602–613 (2016).

    Article  CAS  Google Scholar 

  7. 7.

    Anderson, G. M. Autism biomarkers: challenges, pitfalls and possibilities. J. Autism Dev. Disord. 45, 1103–1113 (2015).

    Article  Google Scholar 

  8. 8.

    Zhang, Y., Talalay, P., Cho, C. G. & Posner, G. H. A major inducer of anticarcinogenic protective enzymes from broccoli: isolation and elucidation of structure. Proc. Natl. Acad. Sci. U.S.A. 89, 2399–2403 (1992).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Fahey, J. W., Zhang, Y. & Talalay, P. Broccoli sprouts: an exceptionally rich source of inducers of enzymes that protect against chemical carcinogens. Proc. Natl. Acad. Sci. U.S.A. 94, 10367–10372 (1997).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Fahey, J. W., Zalcmann, A. T. & Talalay, P. The chemical diversity and distribution of glucosinolates and isothiocyanates among plants. Phytochemistry 56, 5–51 (2001).

    Article  CAS  Google Scholar 

  11. 11.

    Fahey, J. W. et al. Protection of humans by plant glucosinolates: efficiency of conversion of glucosinolates to isothiocyanates by the gastrointestinal microflora. Cancer. Prev. Res. (Phila) 5, 603–611 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Zhang, Y. & Tang, L. Discovery and development of sulforaphane as a cancer chemopreventive phytochemical. Acta Pharmacol. Sin. 28, 1343–1354 (2007).

    Article  CAS  Google Scholar 

  13. 13.

    Dinkova-Kostova, A. T., Fahey, J. W., Kostov, R. V. & Kensler, T. W. KEAP1 and done? Targeting the NRF2 pathway with sulforaphane. Trends Food Sci. Technol. 69, 257–269 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Panjwani, A. A., Liu, H. & Fahey, J. W. Crucifers and related vegetables and supplements for neurologic disorders: what is the evidence? Curr. Opin. Clin. Nutr. Metab. Care 21, 451–457 (2018).

    Article  CAS  Google Scholar 

  15. 15.

    Yagishita, Y., Fahey, J. W., Dinkova-Kostova, A. T. & Kensler, T. W. Broccoli or sulforaphane: is it the source or dose that matters? Molecules 24, 3593; https://doi.org/10.3390/molecules24193593 (2019).

  16. 16.

    Chadman, K. K., Fernandes, S., DiLiberto, E. & Feingold, R. Do animal models hold value in Autism spectrum disorder (ASD) drug discovery? Expert Opin. Drug Discov. 14, 727–734 (2019).

    Article  CAS  Google Scholar 

  17. 17.

    Shaw, O. E. F. & Yager, J. Y. Preventing childhood and lifelong disability: Maternal dietary supplementation for perinatal brain injury. Pharmacol. Res. 139, 228–242 (2019).

    Article  CAS  Google Scholar 

  18. 18.

    Singh, K. et al. Sulforaphane treatment of autism spectrum disorder (ASD). Proc. Natl. Acad. Sci. U.S.A. 111, 15550–15555 (2014).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Lynch, R. et al. Sulforaphane from broccoli reduces symptoms of autism: a follow-up case series from a randomized double-blind study. Glob. Adv. Health. Med. 6, 2164957X17735826 (2017).

  20. 20.

    Tarozzi, A. et al. Sulforaphane as a potential protective phytochemical against neurodegenerative diseases. Oxid Med. Cell. Longev. 2013, 415078 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Hayes, J. D. & Dinkova-Kostova, A. T. The Nrf2 regulatory network provides an interface between redox and intermediary metabolism. Trends Biochem. Sci. 39, 199–218 (2014).

    Article  CAS  Google Scholar 

  22. 22.

    Mizuno, K. et al. Glutathione biosynthesis via activation of the nuclear factor E2-related factor 2 (Nrf2)–antioxidant-response element (ARE) pathway is essential for neuroprotective effects of sulforaphane and 6-(methylsulfinyl) hexyl isothiocyanate. J. Pharmacol. Sci. 115, 320–328 (2011).

    Article  CAS  Google Scholar 

  23. 23.

    Kraft, A. D., Johnson, D. A. & Johnson, J. A. Nuclear factor E2-related factor 2-dependent antioxidant response element activation by tert-butylhydroquinone and sulforaphane occurring preferentially in astrocytes conditions neurons against oxidative insult. J. Neurosci. 24, 1101–1112 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Negrette-Guzman, M., Huerta-Yepez, S., Tapia, E. & Pedraza-Chaverri, J. Modulation of mitochondrial functions by the indirect antioxidant sulforaphane: a seemingly contradictory dual role and an integrative hypothesis. Free Radic. Biol. Med. 65, 1078–1089 (2013).

    Article  CAS  Google Scholar 

  25. 25.

    Benedict, A. L. et al. Neuroprotective effects of sulforaphane after contusive spinal cord injury. J. Neurotrauma 29, 2576–2586 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Heiss, E., Herhaus, C., Klimo, K., Bartsch, H. & Gerhauser, C. Nuclear factor kappa B is a molecular target for sulforaphane-mediated anti-inflammatory mechanisms. J. Biol. Chem. 276, 32008–32015 (2001).

    Article  CAS  Google Scholar 

  27. 27.

    Innamorato, N. G. et al. The transcription factor Nrf2 is a therapeutic target against brain inflammation. J. Immunol. 181, 680–689 (2008).

    Article  CAS  Google Scholar 

  28. 28.

    Egea, J., Gonzalez-Rodriguez, A., Gomez-Guerrero, C. & Moreno, J. A. Editorial: Role of Nrf2 in disease: novel molecular mechanisms and therapeutic. Front. Pharmacol 10, 1149 (2019).

  29. 29.

    Baird, L. & Dinkova-Kostova, A. T. The cytoprotective role of the Keap1-Nrf2 pathway. Arch. Toxicol. 85, 241–272 (2011).

    Article  CAS  Google Scholar 

  30. 30.

    Cuadrado, A. et al. Therapeutic targeting of the NRF2 and KEAP1 partnership in chronic diseases. Nat. Rev. Drug Discov. 18, 295–317 (2019).

    Article  CAS  Google Scholar 

  31. 31.

    Reiter, R. J. Oxidative processes and antioxidative defense mechanisms in the aging brain. FASEB J. 9, 526–533 (1995).

    Article  CAS  Google Scholar 

  32. 32.

    Dinkova-Kostova, A. T., Kostov, R. V. & Kazantsev, A. G. The role of Nrf2 signaling in counteracting neurodegenerative diseases. FEBS J. 285, 3576–3590 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Townsend, B. E. & Johnson, R. W. Sulforaphane induces Nrf2 target genes and attenuates inflammatory gene expression in microglia from brain of young adult and aged mice. Exp. Gerontol. 73, 42–48 (2016).

    Article  CAS  Google Scholar 

  34. 34.

    Subedi, L., Cho, K., Park, Y. U., Choi, H. J. & Kim, S. Y. Sulforaphane-enriched broccoli sprouts pretreated by pulsed electric fields reduces neuroinflammation and ameliorates scopolamine-induced amnesia in mouse brain through its antioxidant ability via Nrf2-HO-1 activation. Oxid Med. Cell. Longev 2019, 3549274 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Liu, H., Dinkova-Kostova, A. T. & Talalay, P. Coordinate regulation of enzyme markers for inflammation and for protection against oxidants and electrophiles. Proc. Natl. Acad. Sci. U. S. A. 105, 15926–15931 (2008).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Clarke, J. D., Dashwood, R. H. & Ho, E. Multi-targeted prevention of cancer by sulforaphane. Cancer Lett. 269, 291–304 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Cheung, K. L. & Kong, A. N. Molecular targets of dietary phenethyl isothiocyanate and sulforaphane for cancer chemoprevention. AAPS J. 12, 87–97 (2010).

    Article  CAS  Google Scholar 

  38. 38.

    Nair, S., Doh, S. T., Chan, J. Y., Kong, A. N. & Cai, L. Regulatory potential for concerted modulation of Nrf2- and Nfkb1-mediated gene expression in inflammation and carcinogenesis. Br. J. Cancer 99, 2070–2082 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. 39.

    Kobayashi, E. H. et al. Nrf2 suppresses macrophage inflammatory response by blocking proinflammatory cytokine transcription. Nat. Commun. 7, 11624 (2016).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  40. 40.

    Mills, E. L. et al. Itaconate is an anti-inflammatory metabolite that activates Nrf2 via alkylation of KEAP1. Nature 556, 113–117 (2018).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  41. 41.

    Curran, L. K. et al. Behaviors associated with fever in children with autism spectrum disorders. Pediatrics 120, e1386–92 (2007).

    Article  Google Scholar 

  42. 42.

    Mehler, M. F. & Purpura, D. P. Autism, fever, epigenetics and the locus coeruleus. Brain Res. Rev. 59, 388–392 (2009).

    Article  Google Scholar 

  43. 43.

    Reed, M. D. et al. IL-17a promotes sociability in mouse models of neurodevelopmental disorders. Nature 577, 249–253 (2020).

    Article  ADS  CAS  Google Scholar 

  44. 44.

    Zhang, Y. et al. HSF1-dependent upregulation of Hsp70 by sulfhydryl-reactive inducers of the KEAP1/NRF2/ARE pathway. Chem. Biol. 18, 1355–1361 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. 45.

    Dinkova-Kostova, A. T. The role of sulfhydryl reactivity of small molecules for the activation of the KEAP1/NRF2 pathway and the heat shock response. Scientifica (Cairo) 2012, 606104 (2012).

    Google Scholar 

  46. 46.

    Brose, R. D. et al. Activation of the stress proteome as a mechanism for small molecule therapeutics. Hum. Mol. Genet. 21, 4237–4252 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. 47.

    Gan, N. et al. Sulforaphane activates heat shock response and enhances proteasome activity through up-regulation of Hsp27. J. Biol. Chem. 285, 35528–35536 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. 48.

    Ahn, Y. H. et al. Electrophilic tuning of the chemoprotective natural product sulforaphane. Proc. Natl. Acad. Sci. U.S.A. 107, 9590–9595 (2010).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Chauhan, A. & Chauhan, V. Oxidative stress in autism. Pathophysiology 13, 171–181 (2006).

    Article  CAS  Google Scholar 

  50. 50.

    Rossignol, D. A. & Frye, R. E. A review of research trends in physiological abnormalities in autism spectrum disorders: immune dysregulation, inflammation, oxidative stress, mitochondrial dysfunction and environmental toxicant exposures. Mol. Psychiatry 17, 389–401 (2012).

    Article  CAS  Google Scholar 

  51. 51.

    Rossignol, D. A. & Frye, R. E. Evidence linking oxidative stress, mitochondrial dysfunction, and inflammation in the brain of individuals with autism. Front. Physiol 5, 150 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Kensler, T. W., Wakabayashi, N. & Biswal, S. Cell survival responses to environmental stresses via the Keap1-Nrf2-ARE pathway. Annu. Rev. Pharmacol. Toxicol. 47, 89–116 (2007).

    Article  CAS  Google Scholar 

  53. 53.

    Kensler, T. W. et al. Keap1-Nrf2 signaling: a target for cancer prevention by sulforaphane. Top. Curr. Chem 329, 163–177 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. 54.

    Brown, I. R. Heat shock proteins and protection of the nervous system. Ann. N. Y. Acad. Sci. 1113, 147–158 (2007).

    Article  ADS  CAS  Google Scholar 

  55. 55.

    Cornblatt, B. S. et al. Preclinical and clinical evaluation of sulforaphane for chemoprevention in the breast. Carcinogenesis 28, 1485–1490 (2007).

    Article  CAS  Google Scholar 

  56. 56.

    Ye, L. et al. Quantitative determination of dithiocarbamates in human plasma, serum, erythrocytes and urine: pharmacokinetics of broccoli sprout isothiocyanates in humans. Clin. Chim. Acta 316, 43–53 (2002).

    Article  CAS  Google Scholar 

  57. 57.

    Li, X. et al. Elevated immune response in the brain of autistic patients. J. Neuroimmunol. 207, 111–116 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. 58.

    Vargas, D. L., Nascimbene, C., Krishnan, C., Zimmerman, A. W. & Pardo, C. A. Neuroglial activation and neuroinflammation in the brain of patients with autism. Ann. Neurol. 57, 67–81 (2005).

    Article  CAS  Google Scholar 

  59. 59.

    Suzuki, K. et al. Microglial activation in young adults with autism spectrum disorder. JAMA Psychiatry 70, 49–58 (2013).

    Article  Google Scholar 

  60. 60.

    Ashwood, P. et al. Associations of impaired behaviors with elevated plasma chemokines in autism spectrum disorders. J. Neuroimmunol. 232, 196–199 (2011).

    Article  CAS  Google Scholar 

  61. 61.

    Ashwood, P. et al. Elevated plasma cytokines in autism spectrum disorders provide evidence of immune dysfunction and are associated with impaired behavioral outcome. Brain Behav. Immun. 25, 40–45 (2011).

    Article  CAS  Google Scholar 

  62. 62.

    Al-Ayadhi, L. Y. & Mostafa, G. A. Elevated serum levels of macrophage-derived chemokine and thymus and activation-regulated chemokine in autistic children. J. Neuroinflammation 10, 72-2094–10-72 (2013).

    Article  CAS  Google Scholar 

  63. 63.

    Depino, A. M. Peripheral and central inflammation in autism spectrum disorders. Mol. Cell. Neurosci. 53, 69–76 (2013).

    Article  CAS  Google Scholar 

  64. 64.

    Masi, A. et al. Cytokine aberrations in autism spectrum disorder: a systematic review and meta-analysis. Mol. Psychiatry 20, 440–446 (2015).

    Article  CAS  Google Scholar 

  65. 65.

    Naik, U. S. et al. A study of nuclear transcription factor-kappa B in childhood autism. PLoS One 6, e19488 (2011).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  66. 66.

    Custodio, C. S. et al. Neonatal immune challenge with lipopolysaccharide triggers long-lasting sex- and age-related behavioral and immune/neurotrophic alterations in mice: relevance to autism spectrum disorders. Mol. Neurobiol. 55, 3775–3788 (2018).

    CAS  Google Scholar 

  67. 67.

    Shapiro, T. A. et al. Safety, tolerance, and metabolism of broccoli sprout glucosinolates and isothiocyanates: a clinical phase I study. Nutr. Cancer 55, 53–62 (2006).

    Article  CAS  Google Scholar 

  68. 68.

    Fahey, J. W. et al. Sulforaphane bioavailability from glucoraphanin-rich broccoli: control by active endogenous myrosinase. PLoS One 10, e0140963 (2015).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. 69.

    Fahey, J. W. et al. Bioavailability of sulforaphane following ingestion of glucoraphanin-rich broccoli sprout and seed extracts with active myrosinase: a pilot study of the effects of proton pump inhibitor administration. Nutrients 11, 1489; https://doi.org/10.3390/nu11071489 (2019).

  70. 70.

    Gasper, A. V. et al. Consuming broccoli does not induce genes associated with xenobiotic metabolism and cell cycle control in human gastric mucosa. J. Nutr 137, 1718–1724 (2007).

    Article  CAS  Google Scholar 

  71. 71.

    MacLeod, A. K. et al. Characterization of the cancer chemopreventive NRF2-dependent gene battery in human keratinocytes: demonstration that the KEAP1-NRF2 pathway, and not the BACH1-NRF2 pathway, controls cytoprotection against electrophiles as well as redox-cycling compounds. Carcinogenesis 30, 1571–1580 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  72. 72.

    Agyeman, A. S. et al. Transcriptomic and proteomic profiling of KEAP1 disrupted and sulforaphane-treated human breast epithelial cells reveals common expression profiles. Breast Cancer Res. Treat. 132, 175–187 (2012).

    Article  CAS  Google Scholar 

  73. 73.

    Ohashi, T., Idogawa, M., Sasaki, Y., Suzuki, H. & Tokino, T. AKR1B10, a transcriptional target of p53, is downregulated in colorectal cancers associated with poor prognosis. Mol. Cancer. Res. 11, 1554–1563 (2013).

    Article  CAS  Google Scholar 

  74. 74.

    Napoli, E., Wong, S., Hertz-Picciotto, I. & Giulivi, C. Deficits in bioenergetics and impaired immune response in granulocytes from children with autism. Pediatrics 133, e1405–10 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  75. 75.

    Dinkova-Kostova, A. T. et al. Direct evidence that sulfhydryl groups of Keap1 are the sensors regulating induction of phase 2 enzymes that protect against carcinogens and oxidants. Proc. Natl. Acad. Sci. U.S.A. 99, 11908–11913 (2002).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  76. 76.

    American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 5th edition (DSM-V) (2013).

  77. 77.

    Livak, K. J. & Schmittgen, T. D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) Method. Methods 25, 402–408 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  78. 78.

    Liu, H. & Talalay, P. Relevance of anti-inflammatory and antioxidant activities of exemestane and synergism with sulforaphane for disease prevention. Proc. Natl. Acad. Sci. U.S.A. 110, 19065–19070 (2013).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Clinical Trial Award (AR140087) from U.S. Department of Defense and unrestricted philanthropic donations made by the Lewis B. and Dorothy Cullman Foundation, the Dalio Family Foundation, and the William H. Donner Foundation, were used to fund this study. The authors wish to thank all the study volunteers for their participation and interest in advancing scientific research. We also wish to thank K Wade, and collaborators in Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, who assisted these efforts, including E Fuchs and C Hendrix.

Author information

Affiliations

Authors

Contributions

H.L., A.W.Z., A.T.D.-K. and J.W.F. conceived the study, analyzed and interpreted the data, and provided manuscript editing. H.L. designed the experiments and wrote the manuscript. H.L. and K.K.S. performed laboratory analyses. A.W.Z., K.S., S.L.C. and E.D. performed the clinical studies. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Hua Liu.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Liu, H., Zimmerman, A.W., Singh, K. et al. Biomarker Exploration in Human Peripheral Blood Mononuclear Cells for Monitoring Sulforaphane Treatment Responses in Autism Spectrum Disorder. Sci Rep 10, 5822 (2020). https://doi.org/10.1038/s41598-020-62714-4

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing