Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-22T07:34:38.684Z Has data issue: false hasContentIssue false

IL-6, homocysteine, and autism spectrum phenotypes: an investigation among adults with autism spectrum disorder and their first-degree relatives

Published online by Cambridge University Press:  24 January 2023

Barbara Carpita*
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Leonardo Massoni
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Simone Battaglini
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Lionella Palego
Affiliation:
Department of Pharmacy, University of Pisa, Pisa, Italy
Ivan M. Cremone
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Gabriele Massimetti
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Laura Betti
Affiliation:
Department of Pharmacy, University of Pisa, Pisa, Italy
Gino Giannaccini
Affiliation:
Department of Pharmacy, University of Pisa, Pisa, Italy
Liliana Dell’Osso
Affiliation:
Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
*
*Author for correspondence: Barbara Carpita, Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Background

The importance of recognizing different kinds of autism spectrum presentations among adults, including subthreshold forms and the broad autism phenotype (BAP), has been increasingly highlighted in recent studies. Meanwhile, the possible involvement of immune system deregulation and altered methylation/trans-sulfuration processes in autism spectrum disorder (ASD) is gaining growing attention, but studies in this field are mainly focused on children. In this framework, the aim of this study was to compare plasmatic concentrations of IL-6 and homocysteine (HCY) among adults with ASD, their first-degree relatives, and healthy controls (CTLs), investigating also possible correlations with specific autism symptoms.

Methods

Plasma concentrations of IL-6 and HCY were measured in a group of adult subjects with ASD, their first-degree relatives (BAP group), and healthy controls (CTL). All participants were also evaluated with psychometric instruments.

Results

IL-6 and HCY concentrations were significantly higher in the ASD group than in CTLs, while BAP subjects reported intermediate results. Significant correlations were reported between biochemical parameters and psychometric scales, particularly for the dimension of ruminative thinking.

Conclusions

These findings support the hypothesis of a key involvement of HCY-related metabolism and immune system alteration in autism spectrum pathophysiology. HCY and IL-6 seem to show different associations with specific autism dimensions.

Type
Original Research
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press

Introduction

Autism spectrum disorder and the broad autism phenotype

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by an early onset of symptoms, usually in childhood. The main symptoms feature impairment in social communication and interactions, narrow interests, and repetitive behaviors. 1 Among ASD individuals, the severity of symptoms may vary greatly, including the presence or not of intellectual impairment and language development alterations.Reference Dell’Osso, Lorenzi and Carpita 2 , Reference Dell’Osso, Gesi and Massimetti 3 Although most of the studies on ASD have been focused on children, recent research is also examining clinical ASD presentations in adulthood, but scant literature evaluated possible biochemical correlates specific to ASD in adult life.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 In particular, several authors highlighted how milder forms of autism may remain underdiagnosed in childhood, and patients may come to clinical attention only during adult life, after the development of other psychiatric disorders in comorbidity.Reference Dell’Osso, Lorenzi and Carpita 2 , Reference Dell’Osso, Gesi and Massimetti 3 In addition, increasing interest has been paid to subthreshold forms of ASD, which have been first investigated among first-degree relatives of ASD probands.Reference Folstein and Rutter 5 , Reference Ronald and Hoekstra 6 In particular, this population was reported to show personality traits and neurostructural correlates similar to those of their affected relatives, although less severe.Reference Sucksmith, Roth and Hoekstra 7 , Reference Billeci, Calderoni and Conti 8 Starting from these considerations, the presence of a broad autism phenotype (BAP) was stressed in the literature.Reference Dell’Osso, Lorenzi and Carpita 2 -Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Sucksmith, Roth and Hoekstra 7 , Reference Carpita, Carmassi and Calderoni 9 Although BAP prevalence is higher among close relatives of ASD people than among general population,Reference Bailey, Palferman, Heavey and Le Couteur 10 , Reference Losh, Childress, Lam and Piven 11 the presence of subthreshold autistic traits seems to be continuously distributed from the general to the clinical population, being particularly higher in high-risk groups.Reference Dell’Osso, Gesi and Massimetti 3 Moreover, BAP presence seems to be associated with an increased risk of psychiatric disorders, suicidal thoughts, and behaviors, further increasing the importance of detecting these conditions also when clinically subthreshold.Reference Dell’Osso, Gesi and Massimetti 3 , Reference Carpita, Carmassi and Calderoni 9 While the presence of neurostructural and neurofunctional alterations in BAP has recently been highlighted by neuroimaging evidences,Reference Billeci, Calderoni and Conti 8 , Reference Carpita, Carmassi and Calderoni 9 , Reference Brondino, Fusar-Poli and Rocchetti 12 biochemical research on this specific matter is still in its infancy.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Brondino, Fusar-Poli and Rocchetti 12

Cytokines studies in ASD patients

Since the 1970s, the frequent presence of somatic conditions such as diabetes, inflammatory bowel diseases, allergies, and asthma was reported among ASD children, leading many authors to focus on immune system alterations in ASD.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Zimmerman, Connors and Matteson 13 -Reference Kern, Geier, Sykes and Geier 17 In the last decades, growing interest has been paid on cytokines and interleukins deregulation in ASD. Cytokines are considered particularly promising as potential biomarkers in this field because they are a source of information about the state of the immune system relatively simple to measure, and, on the other hand, they are also able to directly affect the central nervous system (CNS).Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Onore, Careaga and Ashwood 14 In this framework, Masi et al have stressed how cytokines may affect CNS through the induction of behavioral changes as a part of the response against infection and immune challenges. Among the others, IL-6 is one of the most investigated cytokines in psychiatry and particularly in mood disorders.Reference Goldsmith, Rapaport and Miller 18 In ASD children, the presence of increased peripheral levels of pro-inflammatory cytokines, including IL-6, was reported by several studies.Reference Masi, Quintana, Glozier, Lloyd, Hickie and Guastella 19 -Reference Saghazadeh, Ataeinia, Keynejad, Abdolalizadeh, Hirbod-Mobarakeh and Rezaei 21 Several meta-analyses are available on this topic, generally reporting increased levels of pro-inflammatory cytokines and decreased levels of anti-inflammatory ones in ASD children, although stressing the heterogeneity of the available studies.Reference Masi, Quintana, Glozier, Lloyd, Hickie and Guastella 19 -Reference Saghazadeh, Ataeinia, Keynejad, Abdolalizadeh, Hirbod-Mobarakeh and Rezaei 21 IL-6 was one of the cytokines more constantly reported to be increased among ASD children, and some findings suggested also its possible correlation with the severity of ASD symptoms.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 22 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 23 Despite that, few studies focused on altered IL-6 levels in adult samples of ASD subjects. The investigation in this field seems to be limited to two studies, which reported a positive, but nonsignificant trend toward higher levels of IL-6 in postpuberal or adult ASD patients than in controls.Reference Croonenberghs, Bosmans, Deboutte, Kenis and Maes 24 , Reference Emanuele, Orsi and Boso 25 Similarly, poor literature investigated IL-6 levels among BAP subjects, while first-degree relatives of ASD children have instead been considered as a control group in some studies.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 Other authors found significantly higher levels of IL-6 in ASD children than in unrelated siblings of other ASD individuals,Reference Manzardo, Henkhaus, Dhillon and Butler 26 while Napolioni et alReference Napolioni, Ober-Reynolds and Szelinger 27 did not find instead significant differences between ASD patients and their typically developed siblings.

Homocysteine alteration in ASD

Recently, a growing number of studies pointed out the interest of homocysteine (HCY) related metabolism in the pathophysiology of neurodevelopmental disorders. HCY is known to be involved in many somatic and neuropsychiatric conditions, ranging from stroke and thrombosisReference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 to mood disorders, schizophrenia, ASD, and Alzheimer’s disease.Reference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 -Reference Kale, Naphade and Sapkale 31 HCY, through the trans-methylation pathway of its metabolism, is, together with S-adenosylmethionine (SAM) and S-adenosylhomocysteine (SAH), an indicator of methyltransferase activity and of the methylation state of different substrates, including DNA.Reference Palego, Betti and Giannaccini 32 , Reference Palego, Betti and Giannaccini 33 In addition, through the trans-sulfuration pathway, HCY metabolism may influence glutathione synthesis and redox homeostasis: elevated HCY levels are linked to higher oxidative states.Reference Zou and Banerjee 34 -Reference Han, Xi and Dai 36 Noticeably, both increased DNA methylation and altered redox balance have been reported among ASD subjects.Reference Han, Xi and Dai 36 , Reference Melnyk, Fuchs and Schulz 37 The ratio between the methyl donor SAM, a source of HCY, and the methylation inhibitor SAH (or SAM/SAH), is considered to be an indicator of cellular methylation capacity and was reported to be altered in ASD.Reference Melnyk, Fuchs and Schulz 37 HCY accumulation may be linked to genetic factors, impaired metabolic mechanisms, or also to an insufficient intake, altered absorption, or metabolic use of vitamin B6, B12, and folate.Reference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 , Reference Han, Xi and Dai 36

Research on altered HCY concentration in ASD mainly targeted children and, in a few cases, adolescents. In particular, James et alReference James, Cutler and Melnyk 38 reported in ASD children reduced levels of HCY, methionine, SAM, cystathionine, cysteine, and glutathione as well as higher levels of SAH, adenosine, and oxidized glutathione when compared with controls. On the basis of this data, the authors hypothesized the presence of a diminished SAH hydrolysis, linked to increased adenosine, consequently leading to a decreased HCY synthesis.Reference James, Cutler and Melnyk 38 On the other hand, further studies reported the presence of increased HCY levels in plasma and serum of ASD children.Reference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 , Reference Tu, Chen and He 39 -Reference Guo, Li and Ding 43 In particular, a recent meta-analysis of 31 studiesReference Guo, Li and Ding 43 showed that HCY levels seem to be increased in both serum and plasma of children with ASD. However, other studies failed to find this association.Reference Adams, Lucock, Stuart, Fardell, Baker and Ng 44 -Reference Main, Thomas and Angley 46 Several studies on urine samples also reported higher levels of HCY in ASD patients.Reference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 , Reference Zheng, Wang, Li, Rauw and Baker 42 , Reference Kałużna-Czaplińska, Michalska and Rynkowski 47 -Reference Puig-Alcaraz, Fuentes-Albero, Calderón, Garrote and Cauli 50 Another work showed that not only urinary levels of HCY were higher in ASD individuals compared to controls but seemed also to be correlated with impaired communication skills. However, no correlation was found with socialization deficits and repetitive/restricted behaviors as measured by revised Autism Diagnostic Interview (ADI-R).Reference Puig-Alcaraz, Fuentes-Albero, Calderón, Garrote and Cauli 50

Han et alReference Han, Xi and Dai 36 compared levels of a wide set of metabolites of trans-sulfuration metabolism, such as HCY, cysteine, total glutathione, reduced (GSH), and oxidized glutathione (GSSG) between ASD children and controls. These authors found higher levels of HCY and GSSG, as well as lower levels of cysteine, total glutathione, GSH, and GSH/GSSG ratio in ASD subjects than in controls. Furthermore, HCY levels were positively correlated with the scores reported by the patients at the Childhood autism rating scale (CARS).Reference Han, Xi and Dai 36 Other studies included also unaffected relatives in their investigation. Melnyk et alReference Melnyk, Fuchs and Schulz 37 compared a group of ASD children, their unaffected siblings and controls, failing to find a significant difference for circulating levels of HCY, folate, and vitamin B12, but reporting a higher oxidative state in ASD children and lower levels of methionine, SAM and SAM/SAH ratio, together with a lower percentage of DNA 5-methylcytosine and increased levels of SAH form of cysteine (Cys-SS). Intermediate levels of SAH and free glutathione were reported in the sibling group. Main et alReference Main, Thomas and Angley 46 did not find any significant difference in cytokinesis-block micronucleus cytome (CBMN-cyt), HCY, and B vitamins among ASD children, their unaffected siblings and controls, hypothesizing that genomic instability may not be considered as a feature of ASD.Reference Main, Thomas and Angley 46 Other authors examined the levels of HCY, methionine, cysteine, SAM, SAH, glutathione, 5-methylcytosine, and total cytosine in DNA among mothers and fathers of ASD children, comparing them with control mothers. Parents of ASD subjects reported increased levels of HCY, SAH, and GSSG, but lower GSH levels and GSH/GSSG or SAM/SAH ratio.Reference James, Melnyk, Jernigan, Hubanks, Rose and Gaylor 51 , Reference James, Melnyk and Jernigan 52 Globally, despite the available literature that seems to confirm the presence of impaired methylation/trans-sulfuration pathways and increased HCY levels in autism spectrum conditions, studies are still limited to samples of children.

Aims of this work

As reported above, despite an increasing number of psychopathological studies have stressed the importance of investigating autism spectrum features among adults, especially for improving our understanding of those milder forms that may remain underdiagnosed during childhood, most of the available biochemical research in autism field is focused on children.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Brondino, Fusar-Poli and Rocchetti 12 Biochemical correlates of the same condition may greatly vary from childhood to adulthood, as well as their consequent potential as biochemical markers. In this framework, among other biochemical parameters, investigating IL-6 and HCY in older subjects could be of particular interest, considering that epigenetic and redox status alteration, as well as immune system activity, could vary during lifetime in response to environmental stressors.Reference Han, Xi and Dai 36 , Reference Melnyk, Fuchs and Schulz 37

In light of the above-mentioned literature, the present study aimed to compare circulating levels of IL-6 and HCY among adult ASD subjects (ASD group), their adult first-degree relatives (BAP group), and unrelated healthy controls (CTL group), in order to evaluate potential biochemical correlates of ASD in adult life as well as similarities and differences between subthreshold and full-threshold autism phenotypes. Specific correlations between biochemical parameters and autism spectrum symptoms and traits, as measured by psychometric scales, were also evaluated. We hypothesized to find increased levels of IL-6 and HCY in adults with ASD, while intermediate levels between patients and CTLs are expected in the relatives’ group. We also hypothesized to find significant correlations between biochemical parameters’ concentrations and the scores reported on psychometric scales.

Methods

Recruitment procedures

Participants were recruited among subjects followed at the Psychiatric Clinic of University of Pisa. A group of adult patients with ASD (ASD group) was recruited among in- and out-patients. For each subject, the enrollment of one nonaffected relative (parent or adult sibling) was also requested in order to recruit the relatives’ group (BAP group). In order to be included in the study, patients must be aged between 18 and 65 years and have received a clinical diagnosis of ASD. The ASD diagnosis was clinically confirmed (if yet received in childhood or in other settings) or performed according to DSM-5 criteria by trained mental health professionals at the time of the recruitment. Exclusion criteria were: the presence of major intellectual impairment, with a consequent inability to fill out the psychometric instruments; a diagnosis of schizophrenia or of substance use disorder; the presence of other relevant neurological/medical disease. In addition, subjects in the BAP group were not included also if they reported a diagnosis of ASD. A group of adult controls without a diagnosis of psychiatric disorders was recruited on a voluntary basis. All subjects received clear information about the study and had the opportunity to ask questions before providing a written informed consent. This work was conducted in accordance with the declaration of Helsinki, and all procedures were approved by the local ethical committee.

Psychometric instruments

The Structured Clinical Interview for DSM-5 disorders (SCID-5) was used for evaluating the presence of mental disorders.Reference First, Williams, Karg and Spitzer 53 In addition, the Adult Autism Subthreshold Spectrum (AdAS Spectrum) and the Ritvo Autism and Asperger Diagnostic Scale (RAADS-14) were used for measuring the wide range of autism spectrum symptoms. In addition, the Ruminative Response Scale (RRS) was used for measuring the specific dimension of ruminative thinking. Ruminative thinking is a feature closely associated with the autism spectrum: although it was reported to be trans-diagnostic, some authors hypothesized that the tendency toward rumination may be underlain by full-threshold or subthreshold autistic traits also in different psychiatric conditions. Considering that the recent literature highlighted a role of ruminative thinking in worsening psychopathological picture, we chose to investigate also this specific dimension in our sample.Reference Dell’Osso, Lorenzi and Carpita 2 , Reference Nolen-Hoeksema and Morrow 54 Finally, in order to assess how the reported symptoms of the autism spectrum may impact on subjects’ adjustment, we included in the evaluation the Work and Social Adjustment Scale (WSAS), which is tailored for measuring the levels of adjustment with respect to the reported symptoms.Reference Mundt, Marks, Shear and Greist 55 In particular, for the aims of this work, subjects were specifically asked to fill out the WSAS referring only to the symptoms investigated by the other scales and not to eventual other symptoms.

The Adult Autism Subthreshold Spectrum

The AdAS Spectrum is an instrument developed by Dell’Osso et alReference Dell’Osso, Gesi and Massimetti 3 aiming to evaluate the broad range of subthreshold and clinical manifestations of the autism spectrum during lifetime among adults without intellectual impairment or language development alteration. The instrument is composed of seven domains: Childhood/adolescence, Verbal communication, Nonverbal communication, Empathy, Inflexibility and adherence to routine, Restricted interests and rumination, and Hyper-hypo reactivity to sensory input. All items feature a dichotomous answer (yes/no). The instrument showed an excellent reliability (Kuder–Richardson’s coefficient = 0.964) according to the validation study.Reference Dell’Osso, Gesi and Massimetti 3

The Ritvo Autism and Asperger Diagnostic Scale

The RAADS-14 is a shortened version of the RAADS. The instrument was developed for assessing concisely the main symptoms of autism and features 14 items with answers organized on a Likert scale. The domains of the scale are Mentalizing deficits, Social anxiety, and Sensory reactivity. The RAADS-14 showed excellent internal consistency in the validation study, with a Cronbach’s alpha = 0.90.Reference Eriksson, Andersen and Bejerot 56

The Ruminative Response Scale

The RRS is a questionnaire tailored to assess the specific dimension of ruminative thinking. Answers are organized on a Likert scale, and divided into three dimensions: Brooding, Reflection, and Depression. In the validation study, the RRS showed an excellent internal consistency, with Cronbach’s alpha = 0.89.Reference Nolen-Hoeksema and Morrow 54

The Work and Social Adjustment Scale

The WSAS is an instrument composed of five items organized in a 9-point Likert scale, aiming to evaluate how much symptoms affect social and work functioning (Work, Home management, Social leisure activities, Private leisure activities, Ability to form and maintain close relationships). Scores range from 0 to 40: higher scores indicate a greater impairment. The questionnaire is widely used in the literature and showed good internal consistency in the validation study (Cronbach’s alpha ranging from 0.80 to 0.90).Reference Mundt, Marks, Shear and Greist 55

Biochemical evaluations

A peripheral blood sample was collected in the morning from each participant. Subjects were requested to fast for 12 hours before the blood draw. In order to separate platelet-rich plasma (PRP) from other cellular elements, the blood samples, collected in K3EDTA vacutainer tubes, were centrifuged for 15 minutes at 150 g. Subsequently, the PRP aliquots were centrifuged again in Falcon tubes for 15 minutes at 1500 g, thus obtaining platelet-poor plasma (PPP) samples. All operations were performed at room temperature. PPP samples were transferred in high-quality, low-binding protein Eppendorf Safe-Lock test tubes, and maintained at −80°C until the day of the assay. Concentrations of IL-6 and HCY in the PPP were determined by means of enzyme-linked immunosorbent assays (ELISA). In particular, IL-6 levels were assessed with a sandwich ELISA kit (Picokine IL-6 assay, Boster Biological Technology, Pleasanton, CA). First, the defrosted aliquots of PPP were diluted in a sample diluent buffer as requested by the instructions. The kit featured a first anti-IL-6 monoclonal antibody, a second biotinylated antibody, and a streptavidin-biotin-peroxidase complex. At the end of the reactions, the plate absorbance was read at λ = 450 nm by a plate reader spectrophotometer. The standard calibration range for calculating the calibration curve was 4.69–300 pg/mL. The calibration curves were calculated through a 4-parameter logistic regression, and IL-6 concentrations in unknowns were interpolated as pg/mL. This method featured a determination limit of 0.3 pg/mL, thus being associated with a high sensitivity. The assessment of HCY levels was instead performed by means of an indirect competitive ELISA kit produced by ImmuSmol (Bordeaux, France). Following the kit instruction, PPP samples were incubated with an enzyme reaction mixture, featuring the S-adenosyl-l-homocysteine hydrolase enzyme and its substrate adenosine/dithiothreitol (DTT), before performing the ELISA procedure: this step was requested for transforming the whole amount of HCY into SAH, thus avoiding matrix effects that may happen when HCY is measured directly. The ELISA microplate of the kit was precoated with SAH. The competitive assay was performed through an incubation step with a monoclonal anti-SAH mouse antibody, followed by another step with a second biotinylated anti-mouse antibody. The revelation step featured the addition of a biotin-streptavidin complex coupled to horseradish peroxidase (HRP), and then of the HRP substrate, 3,3′,5,5′-tetramethylbenzidine (TMB). As in the case of IL-6, the plate absorbance was read at λ = 450 nm by a plate reader spectrophotometer. The calibration curve, calculated by a 4-parameter logistic regression, ranged from 2 to 50 μM.

Statistical analysis

The use of nonparametric tests was preferred because the normality tests and variance homoscedasticity were not respected in our sample. For comparing biochemical parameter concentrations, a Kruskal–Wallis one-way analysis of variance was performed. Mann–Whitney tests were used for the comparison of IL-6 and HCY concentrations depending on the presence of comorbid conditions or pharmacological treatments. A Spearman’s correlation coefficient was calculated for evaluating the correlations between biochemical variables and the scores reported on psychometric instruments. All the analyses were performed using SPSS version 24 (IBM Corp., Armonk, NY, 2016) and GraphPad Prism (Version 7.0, San Diego, CA). The calibration curves and the regression analysis for the biochemical assays were calculated through GraphPad.

Results

Comparison of biochemical parameters among groups

Sociodemographic characteristics of the samples, as well as clinical features such as comorbidities and use of pharmacological treatments, were reported elsewhere.Reference Carpita, Nardi and Palego57 When comparing IL-6 and HCY levels among groups, both the parameters were found significantly higher in the ASD group than in the CTL group, while BAP group showed intermediate concentrations, not significantly different from the other groups (see Table 1). In addition, 29.17% (n = 7) of ASD subjects, 8.33% (n = 2) of BAP ones, and 0% (n = 0) of the CTLs showed HCY values above 15 μM, which is considered the threshold level of Hyper-HCY (while optimal values are considered lower than 10 μM).Reference Rehman, Shabbir and Inam-Ur-Raheem58 No significant differences were reported for the comparison of IL-6 and HCY concentrations depending on the presence of comorbid conditions or pharmacological treatments.

Table 1. Comparison of HCY and IL-6 Levels Among Groups

Abbreviations: ASD, autism spectrum disorder; BAP, broad autism phenotype; CTL, controls; HCY, homocysteine; IL-6, interleukin 6.

* ASD > CTL, P < .05.

The statistically significant values are reported in bold.

Correlations between biochemical parameters and scores reported on psychometric scales

When considering the correlations between biochemical parameters and psychometric scales, we found that the AdAS Spectrum total score and all AdAS Spectrum domains, with the exception of Empathy, were significantly and positively correlated with HCY concentrations, but not with IL-6 (see Table 2). RAADS-14 total and domain scores, with the exception of Sensory reactivity, were also significantly and positively correlated with HCY concentrations. A significant positive correlation was found between the Mentalizing deficit domain and IL-6 levels (see Table 3). Both IL-6 and HCY were reported to be significantly and positively correlated with RRS total and all domain scores, with the exception of the Reflection domain, which was significantly correlated only with IL-6 (see Table 4). Finally, WSAS total score and most of the single-item scores were positively correlated with both HCY (with the exception of Social leisure activities and Close relationships) and IL-6 (with the exception of Home management) (see Table 5).

Table 2. Correlations Between AdAS Spectrum Scores and Biochemical Parameters in the Whole Sample

Abbreviations: HCY, homocysteine; IL-6, interleukin 6.

* P < .05;

** P < .01.

The statistically significant values are reported in bold.

Table 3. Correlations Between RAADS-14 Scores and Biochemical Parameters in the Whole Sample

Abbreviations: HCY, homocysteine; IL-6, interleukin 6.

* P < .05;

** P < .01.

The statistically significant values are reported in bold.

Table 4. Correlations Between RRS Scores and Biochemical Parameters in the Whole Sample

Abbreviations: HCY, homocysteine; IL-6, interleukin 6.

* P < .05;

** P < .01.

The statistically significant values are reported in bold.

Table 5. Correlations Between WSAS Scores and Biochemical Parameters in the Whole Sample

Abbreviations: HCY, homocysteine; IL-6, interleukin 6.

* P < .05;

** P < .01.

The statistically significant values are reported in bold.

Discussion

Differences in IL-6 and HCY levels among groups

The aim of this work was to compare circulating levels of HCY and IL-6 among subjects with ASD, their first-degree relatives (BAP group), and CTLs. First, the concentration ranges reported here for the investigated biochemical variables were globally in line with those reported in previous human studies, although in the framework of a high variability between different researches.Reference Tu, Chen and He 39 , Reference Zheng, Wang, Li, Rauw and Baker 42 , Reference Mundt, Marks, Shear and Greist 55 , Reference Zhao, Zhang, Liu, Luo, Jiang and Gao 59 According to our data, both HCY and IL-6 levels were significantly higher in ASD subjects than in CTLs, while the BAP group reported intermediate levels. Several previous studies highlighted increased pro-inflammatory cytokines in ASD childrenReference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4: in this population, IL-6 is one of the cytokines most constantly reported to be elevated.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Masi, Quintana, Glozier, Lloyd, Hickie and Guastella 19 , Reference Zhao, Zhang, Liu, Luo, Jiang and Gao 59 While our results seem in line with this data, the few available researches in ASD adults reported only a trend toward increased IL-6 levels, failing to find significant differences between ASD and CTLs.Reference Emanuele, Orsi and Boso 25 , Reference Croonenberghs, Wauters and Devreese 60 Noticeably, our findings are somewhat in line with previous investigations that stressed, in adult subjects with ASD, increased levels of ciliary neurotrophic factor (CNTF), with respect to typically developed subjects or No ASD individuals with intellectual disability. CTNF is a neurotrophin that may act as signal of neuronal damage, and its increased levels in ASD may support the link between autism spectrum and neuroinflammation.Reference Brondino, Rocchetti and Fusar-Poli 61 When considering BAP, the intermediate levels reported here could be considered somewhat in line with previous literature. In particular, IL-6 levels were reported to be higher in pregnant mothers of ASD patients than in controls mothers,Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Jones, Croen and Yoshida 62 while one study from Manzardo et al even reported lower IL-6 levels in ASD children than in siblings of other ASD patients.Reference Manzardo, Henkhaus, Dhillon and Butler 26 IL-6 is known to be involved in promoting sickness behavior and its increased expression has been associated with neurodegeneration.Reference Gadient and Otten 63 , Reference Dantzer 64 Increased IL-6 levels have been observed not only in autoimmune disorders, but also in some neurodegenerative conditions such as Alzheimer’s disease, and in different kinds of mental disorders.Reference Gadient and Otten 63 Several authors hypothesized a key role of IL-6 in mediating the communication between immune system and CNS. Our data, highlighting increased levels of IL-6 in adult ASD patients, are in line with the reported alteration of immune and inflammatory activity among subjects with ASD, and may support the hypothesis of intertwined relationships between immune system and CNS, which may affect each other activities.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4

Considering HCY, our findings seem to confirm in adult sample results from previous studies, which reported increased HCY concentrations in children or adolescents with ASD,Reference Zheng, Wang, Li, Rauw and Baker 42 , Reference Guo, Li and Ding 43 although not all the authors replicated this result.Reference Main, Thomas and Angley 46 , Reference Bala, Doğan and Mutluer 65 It is worth noting that our data also revealed a mean HCY level above the optimal one (<10 μM) among ASD subjects and a borderline mean value among BAP ones (12.939 ± 8.485 and 10.001 ± 3.520, respectively). A 27% rate of subjects with hyperhomocysteinemia (HCY levels > 15 μM) was also revealed in the ASD group, together with a 8.33% rate in the BAP group, with respect to a 0% rate in CTLs.Reference Rehman, Shabbir and Inam-Ur-Raheem 58 Among children, who usually show lower levels of HCY than adults, subjects with ASD reported values above the threshold of 15 μM only in some of the available studies.Reference Ali, Waly, Al-Farsi, Essa, Al-Sharbati and Deth 28 , Reference Tu, Chen and He 39 , Reference Rehman, Shabbir and Inam-Ur-Raheem 58 The report of intermediate HCY levels in BAP subjects is in line with the continuum between ASD and BAP features stressed in psychopathological studiesReference Carpita, Carmassi and Calderoni 9 and in the few available biochemical investigations. In particular, a study from James et alReference James, Melnyk, Jernigan, Hubanks, Rose and Gaylor 51 , Reference James, Melnyk and Jernigan 52 highlighted, among parents of ASD children, increased HCY, SAH, and GSSG levels, together with lower GSH levels, GSH/GSSG and SAM/SAM ratio, and DNA hypo-methylation, with respect to parents of non-ASD children. Intermediate levels of SAH in siblings of ASD children with respect to the probands and the controls were also reported by Melnyk et al.Reference Melnyk, Fuchs and Schulz 37 Increased HCY levels may be explained with metabolic alterations related to genetic factors and nutritional issues, which in turn may feature insufficient intake or absorption of vitamin B6, B12, or folate, crucial for the metabolism of HCY.Reference Han, Xi and Dai 36 , Reference Zheng, Wang, Li, Rauw and Baker 42 Impaired methylation and trans-sulfuration pathways of HCY metabolism may be associated with the reduced DNA methylation, glutathione depletion, and altered redox balance frequently reported among ASD children.Reference Han, Xi and Dai 36 , Reference Zheng, Wang, Li, Rauw and Baker 42 In addition, increased HCY levels may directly exert a negative impact on these systems.Reference Han, Xi and Dai 36 , Reference Zheng, Wang, Li, Rauw and Baker 42 In this framework, HCY concentrations could be considered a source of information about redox state and DNA methylation in ASD.Reference Han, Xi and Dai 36 , Reference Zheng, Wang, Li, Rauw and Baker 42 Among the studies that stressed higher levels of HCY in ASD, some also reported lower values of cysteine, glutathione, and GSH/GSSG ratio, which are considered endogenous antioxidant defenses.Reference Han, Xi and Dai 36 Globally, our results support, in an adult sample, the presence of a link between autism spectrum and altered HCY levels, which may be eventually associated with impaired methylation/trans-sulfuration pathways.Reference Han, Xi and Dai 36 , Reference Melnyk, Fuchs and Schulz 37

Noticeably, while both IL-6 and HCY levels have been previously reported to be affected by the presence of anxiety or mood disorders, as well as by psychopharmacological drugs,Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Han, Xi and Dai 36 , Reference Chengfeng, Wei, Xinxing, Lei, Rui and Lingjia 66 we did not find significant differences in the levels of these parameters on the basis of the presence or not of other comorbid conditions or use of pharmacological treatments.Reference Carpita, Nardi and Palego 57 This data may lead to hypothesis that in our sample the presence of autism spectrum symptoms overcame the impact on IL-6 and HCY levels of other conditions or treatments.

Correlations between HCY, IL-6 levels, and psychometric instruments

Considering HCY, we found significant correlations with AdAS Spectrum and RAADS-14 total scores, while the highest correlations were reported with the ruminative dimension as measured by the RRS and by the AdAS Spectrum-related domain. However, HCY levels also showed significant correlations with all AdAS Spectrum domains with the exception of Empathy and with the RAADS-14 Mentalizing deficit and Social Anxiety domains. These findings are in line with the correlation between autism symptoms’ severity and HCY levels reported in other studies among children.Reference Han, Xi and Dai 36 A previous study also stressed a positive correlation between impaired communication abilities and increased HCY levels in children with ASD.Reference Puig-Alcaraz, Fuentes-Albero, Calderón, Garrote and Cauli 50 Noticeably, other researches in clinical and general populations showed an association of increased HCY and lower folate levels with inflexibility and cognitive impairment.Reference Moustafa, Hewedi, Eissa, Frydecka and Misiak 67 , Reference Eszlari, Kovacs and Petschner 68 Our results may be in accordance with the specific association, reported by other authors, between ruminative thinking and the methylenetetrahydrofolate dehydrogenase 1 like (MTHFD1L) gene allele A polymorphism (rs11754661), which is linked to increased levels of HCY, further supporting the possible involvement of HCY metabolism in the pathophysiology of ruminative thinking.Reference Moustafa, Hewedi, Eissa, Frydecka and Misiak 67 , Reference Eszlari, Kovacs and Petschner 68 A biochemical explanation of the link between HCY alteration, cognitive functions, and ruminative thinking may feature different mechanisms that should be investigated in further studies, such as the antagonistic action of HCY on N-methyl-d-aspartate (NMDA), impaired methylation processes, and increase of oxidative stress.Reference Moustafa, Hewedi, Eissa, Frydecka and Misiak 67 , Reference Eszlari, Kovacs and Petschner 68 Ruminative thinking is a feature frequently associated with the autism spectrum, but it is also considered a trans-nosographic dimension, which could be eventually underlain by the presence of autistic traits. The presence of ruminative thinking is typically linked to an increased vulnerability toward the development of psychiatric symptoms, particularly after stressful events, and with the tendency toward suicidal thoughts and behaviors.Reference Nolen-Hoeksema, Wisco and Lyubomirsky 69 -Reference Dell’Osso, Muti, Lorenzi, Della Vecchia, Carmassi and Carpita 72 A partially different pattern was found for the association between IL-6 and psychometric scales. In particular, IL-6 levels did not show significant correlations with the total scores of the AdAS Spectrum and the RAADS-14, showing instead a significant positive correlation with the specific autistic dimension of Mentalizing deficit (as measured by the RAADS-14) and with all dimensions of ruminative thinking, as measured by the RRS. Noticeably, IL-6 levels were more strongly correlated with RRS total and domain scores than HCY ones. Starting from the reported role played by IL-6 in different processes of CNS pathophysiology, including in the promotion of sickness behavior,Reference Dantzer 64 several authors hypothesized a possible IL-6 involvement in the modulation of autistic-like features.Reference Wei, Chadman and McCloskey 73 -Reference Wei, Alberts and Li 75 While in IL-6/IL-4 knockout mouse models cognitive impairment was typically reported, previous literature in ASD children showed an association between communication deficits and cytokine levels, although not specifically IL-6.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 22 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 23 IL-6 levels were instead reported to be more linked to other dimensions such as repetitive behaviors,Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 22 , Reference Ashwood, Krakowiak, Hertz-Picciotto, Hansen, Pessah and Van de Water 23 poorer social relationships,Reference Friedman, Hayney and Love 76 , Reference Eisenberger, Moieni, Inagaki, Muscatell and Irwin 77 and sleep quality.Reference Masi, Quintana, Glozier, Lloyd, Hickie and Guastella 19 , Reference Friedman, Hayney and Love 76 , Reference Rohleder, Aringer and Boentert 78 Somewhat in line with our results, Moriarity et al found that higher levels of rumination were a risk factor for the presence of higher IL-6 concentration, which would lead in turn to symptoms of anxiety and depression.Reference Moriarity, McArthur, Ellman, Coe, Abramson and Alloy 79 On the other hand, Woody et al reported that neutral reflection seemed instead to be associated with lower IL-6 concentration.Reference Woody, Figueroa, Benencia and Zoccola 80 Our findings globally support the association between IL-6 and ruminative thinking, although the specific nature of this relationship remains to be clarified: as stated by other authors, while IL-6 may be involved in ruminative thinking pathophysiology through promoting cognitive alterations and depressive mood, the presence of ruminative thinking may be able to promote the enhancement of inflammatory processes, which may feature the increase of IL-6 levels.Reference Friedman, Hayney and Love 76 , Reference Moriarity, McArthur, Ellman, Coe, Abramson and Alloy 79 In conclusion, our results suggest that the severity of autistic symptoms as a whole may be associated with increased levels of HCY, while IL-6 concentrations seemed to be more specifically linked to the dimension of ruminative thinking. Finally, considering the impact on work and social functioning, we found that both IL-6 and HCY levels were significantly and positively associated with a greater impairment in work/social adjustment as measured by WSAS total score, being also associated with most of WSAS single domains. However, also in this case the strongest correlations were reported with IL-6 levels. This data seem to suggest that a poorer functional adjustment may be mirrored by a greater impairment also from a biochemical point of view, in particular for immune system alteration. Noticeably, the higher association of IL-6 with both rumination and poorer adjustment reported herein might eventually be in line with the link between ruminative thinking and worse global functioning reported in other studies.Reference Dell’Osso, Lorenzi and Carpita 2 , Reference Nolen-Hoeksema and Morrow 54 , Reference Dell’Osso, Carpita and Gesi 70 -Reference Dell’Osso, Muti, Lorenzi, Della Vecchia, Carmassi and Carpita 72

Limits and conclusion

This work should be considered in light of several limits. First of all, the study featured a cross-sectional design, preventing us from making inferences about eventual temporal or causal relationships among the investigated variables. In addition, the small sample size limits the impact and extensibility of our findings. In particular, the limited number of subjects enrolled in the study prevented us from performing stratified analyses in order to evaluate specific correlations within each group, or from correcting our data for age and gender, despite this analysis would have been of great interest for testing the hypothesis of a continuum in the autism spectrum. Furthermore, although the clinical diagnoses were confirmed by trained psychiatrists, symptoms were evaluated by self-reported psychometric questionnaires, eventually allowing under or overestimation biases depending on the judgment of the subjects. Despite these limitations, our findings, highlighting a significant increase of IL-6 and HCY levels in adults with ASD, support the hypothesis of a key involvement of HCY-related metabolism and immune system alteration in autism spectrum pathophysiology, as suggested by previous studies among children.Reference Carpita, Marazziti, Palego, Giannaccini, Betti and Microbiota 4 , Reference Han, Xi and Dai 36 , Reference Luchowska, Luchowski and Paczek 81 The intermediate levels reported among BAP subjects further highlight the presence of a continuum between subthreshold and full-threshold autism spectrum, which seem to be present also from a biochemical point of view, stressing the importance of a dimensional approach to psychiatric conditions.Reference Billeci, Calderoni and Conti 8 , Reference Dell’Osso, Carpita and Gesi 70 , Reference Frank, Cassano and Shear 82 Our results also highlight that HCY and IL-6 may possibly show different patterns of association with autism spectrum symptoms, which need to be clarified by further investigations. This study may open the way to future researches, extending a dimensional approach from psychopathology to neurobiology. From a practical and clinical point of view, the identification of biochemical correlates of the autism spectrum, as well as the eventual link between some metabolic alterations and specific clusters of symptoms, may allow for improving diagnostic procedures and also promote the development of new therapeutic targets for this population. On the other hand, increasing our knowledge of biochemical correlates of autism spectrum conditions may shed more light on autism spectrum pathophysiology. Future research in this field should take into account the possible presence of intertwined relationships between different metabolic routes and between peripheral and central systems in shaping neurodevelopmental trajectories. Globally, further studies in wider samples and with a longitudinal design, possibly featuring the use of standardized tools for measuring ASD symptoms (such as the Autism Diagnostic Observation Schedule, ADOS-2) are needed to clarify the association between impaired HCY-related metabolism, immune system alteration and the autism spectrum.

Author Contributions

Conceptualization: B.C., L.B., G.G., L.D.; Formal analysis: B.C., L.P., G.M.; Investigation: B.C., L.M., S.B., L.P., I.M.C., L.B., G.G., L.D.; Methodology: B.C., L.P., G.M., L.B., G.G., L.D.; Supervision: B.C., L.B., G.G., L.D.; Writing—original draft: B.C., L.M., S.B., I.M.C.; Writing—review and editing: B.C., L.M., S.B., L.P., I.M.C., L.B., G.G., L.D.

Disclosures

The authors do not have anything to disclose.

References

American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 5th ed. Washington, DC: American Psychiatric Association; 2013.Google Scholar
Dell’Osso, L, Lorenzi, P, Carpita, B. Autistic traits and illness trajectories. Clin Pract Epidemiol Ment Health. 2019;15:9498. doi:10.2174/1745017901915010094.CrossRefGoogle ScholarPubMed
Dell’Osso, L, Gesi, C, Massimetti, E, et al. Adult Autism Subthreshold Spectrum (AdAS Spectrum): validation of a questionnaire investigating subthreshold autism spectrum. Compr Psychiatry. 2017;73:6183. doi:10.1016/j.comppsych.2016.11.001.CrossRefGoogle ScholarPubMed
Carpita, B, Marazziti, D, Palego, L, Giannaccini, G, Betti, L, Microbiota, D’OL. Immune system and autism spectrum disorders: an integrative model towards novel treatment options. Curr Med Chem. 2020;27(31):51195136. doi:10.2174/0929867326666190328151539.CrossRefGoogle ScholarPubMed
Folstein, S, Rutter, M. Infantile autism: a genetic study of 21 twin pairs. J Child Psychol Psychiatry. 1977;18(4):297321. doi:10.1111/j.1469-7610.1977.tb00443.x.CrossRefGoogle ScholarPubMed
Ronald, A, Hoekstra, RA. Autism spectrum disorders and autistic traits: a decade of new twin studies. Am J Med Genet B Neuropsychiatr Genet. 2011;156B(3):255274. doi:10.1002/ajmg.b.31159.CrossRefGoogle ScholarPubMed
Sucksmith, E, Roth, I, Hoekstra, RA. Autistic traits below the clinical threshold: re-examining the broader autism phenotype in the 21st century. Neuropsychol Rev. 2011;21(4):360389. doi:10.1007/s11065-011-9183-9.CrossRefGoogle Scholar
Billeci, L, Calderoni, S, Conti, E, et al. The broad autism (endo)phenotype: neurostructural and neurofunctional correlates in parents of individuals with autism spectrum disorders. Front Neurosci. 2016;10:346. doi:10.3389/fnins.2016.00346.CrossRefGoogle ScholarPubMed
Carpita, B, Carmassi, C, Calderoni, S, et al. The broad autism phenotype in real-life: clinical and functional correlates of autism spectrum symptoms and rumination among parents of patients with autism spectrum disorder. CNS Spectr. 2020;25(6):765773. doi:10.1017/S1092852919001615.CrossRefGoogle ScholarPubMed
Bailey, A, Palferman, S, Heavey, L, Le Couteur, A. Autism: the phenotype in relatives. J Autism Dev Disord. 1998;28(5):369392. doi:10.1023/a:1026048320785.CrossRefGoogle ScholarPubMed
Losh, M, Childress, D, Lam, K, Piven, J. Defining key features of the broad autism phenotype: a comparison across parents of multiple- and single-incidence autism families. Am J Med Genet B Neuropsychiatr Genet. 2008;147B(4):424433. doi:10.1002/ajmg.b.30612.CrossRefGoogle ScholarPubMed
Brondino, N, Fusar-Poli, L, Rocchetti, M, et al. BDNF levels are associated with autistic traits in the general population. Psychoneuroendocrinology. 2018;89:131133. doi:10.1016/j.psyneuen.2018.01.008.CrossRefGoogle ScholarPubMed
Zimmerman, AW, Connors, SL, Matteson, KJ, et al. Maternal antibrain antibodies in autism. Brain Behav Immun. 2007;21(3):351357. doi:10.1016/j.bbi.2006.08.005.CrossRefGoogle ScholarPubMed
Onore, C, Careaga, M, Ashwood, P. The role of immune dysfunction in the pathophysiology of autism. Brain Behav Immun. 2012;26(3):383392. doi:10.1016/j.bbi.2011.08.007.CrossRefGoogle ScholarPubMed
Ruggeri, B, Sarkans, U, Schumann, G, Persico, AM. Biomarkers in autism spectrum disorder: the old and the new. Psychopharmacology (Berl). 2014;231(6):12011216. doi:10.1007/s00213-013-3290-7.CrossRefGoogle ScholarPubMed
Sakamoto, A, Moriuchi, H, Matsuzaki, J, Motoyama, K, Moriuchi, M. Retrospective diagnosis of congenital cytomegalovirus infection in children with autism spectrum disorder but no other major neurologic deficit. Brain Dev. 2015;37(2):200205. doi:10.1016/j.braindev.2014.03.016.CrossRefGoogle ScholarPubMed
Kern, JK, Geier, DA, Sykes, LK, Geier, MR. Relevance of neuroinflammation and encephalitis in autism. Front Cell Neurosci. 2016;9:519. doi:10.3389/fncel.2015.00519.CrossRefGoogle ScholarPubMed
Goldsmith, DR, Rapaport, MH, Miller, BJ. A meta-analysis of blood cytokine network alterations in psychiatric patients: comparisons between schizophrenia, bipolar disorder and depression. Mol Psychiatry. 2016;21(12):16961709. doi:10.1038/mp.2016.3.CrossRefGoogle ScholarPubMed
Masi, A, Quintana, DS, Glozier, N, Lloyd, AR, Hickie, IB, Guastella, AJ. Cytokine aberrations in autism spectrum disorder: a systematic review and meta-analysis. Mol Psychiatry. 2015;20(4):440446. doi:10.1038/mp.2014.59.CrossRefGoogle ScholarPubMed
Saghazadeh, A, Ataeinia, B, Keynejad, K, Abdolalizadeh, A, Hirbod-Mobarakeh, A, Rezaei, N. A meta-analysis of pro-inflammatory cytokines in autism spectrum disorders: effects of age, gender, and latitude. J Psychiatr Res. 2019;115:90102. doi:10.1016/j.jpsychires.2019.05.019.CrossRefGoogle ScholarPubMed
Saghazadeh, A, Ataeinia, B, Keynejad, K, Abdolalizadeh, A, Hirbod-Mobarakeh, A, Rezaei, N. Anti-inflammatory cytokines in autism spectrum disorders: a systematic review and meta-analysis. Cytokine. 2019;123:154740. doi:10.1016/j.cyto.2019.154740.CrossRefGoogle ScholarPubMed
Ashwood, P, Krakowiak, P, Hertz-Picciotto, I, Hansen, R, Pessah, I, Van de Water, J. Elevated plasma cytokines in autism spectrum disorders provide evidence of immune dysfunction and are associated with impaired behavioral outcome. Brain Behav Immun. 2011;25(1):4045. doi:10.1016/j.bbi.2010.08.003.CrossRefGoogle ScholarPubMed
Ashwood, P, Krakowiak, P, Hertz-Picciotto, I, Hansen, R, Pessah, IN, Van de Water, J. Associations of impaired behaviors with elevated plasma chemokines in autism spectrum disorders. J Neuroimmunol. 2011;232(1–2):196199. doi:10.1016/j.jneuroim.2010.10.025.CrossRefGoogle ScholarPubMed
Croonenberghs, J, Bosmans, E, Deboutte, D, Kenis, G, Maes, M. Activation of the inflammatory response system in autism. Neuropsychobiology. 2002;45(1):16. doi:10.1159/000048665.CrossRefGoogle ScholarPubMed
Emanuele, E, Orsi, P, Boso, M, et al. Low-grade endotoxemia in patients with severe autism. Neurosci Lett. 2010;471(3):162165. doi:10.1016/j.neulet.2010.01.033.CrossRefGoogle ScholarPubMed
Manzardo, AM, Henkhaus, R, Dhillon, S, Butler, MG. Plasma cytokine levels in children with autistic disorder and unrelated siblings. Int J Dev Neurosci. 2012;30(2):121127. doi:10.1016/j.ijdevneu.2011.12.003.CrossRefGoogle ScholarPubMed
Napolioni, V, Ober-Reynolds, B, Szelinger, S, et al. Plasma cytokine profiling in sibling pairs discordant for autism spectrum disorder. J Neuroinflammation. 2013;10:38. doi:10.1186/1742-2094-10-38.CrossRefGoogle ScholarPubMed
Ali, A, Waly, MI, Al-Farsi, YM, Essa, MM, Al-Sharbati, MM, Deth, RC. Hyperhomocysteinemia among Omani autistic children: a case-control study. Acta Biochim Pol. 2011;58(4):547551.CrossRefGoogle ScholarPubMed
Herrmann, W, Obeid, R. Homocysteine: a biomarker in neurodegenerative diseases. Clin Chem Lab Med. 2011;49(3):435441. doi:10.1515/CCLM.2011.084.CrossRefGoogle ScholarPubMed
Dittmann, S, Seemüller, F, Grunze, HC, et al. The impact of homocysteine levels on cognition in euthymic bipolar patients: a cross-sectional study. J Clin Psychiatry. 2008;69(6):899906. doi:10.4088/jcp.v69n0603.CrossRefGoogle ScholarPubMed
Kale, A, Naphade, N, Sapkale, S, et al. Reduced folic acid, vitamin B12 and docosahexaenoic acid and increased homocysteine and cortisol in never-medicated schizophrenia patients: implications for altered one-carbon metabolism. Psychiatry Res. 2010;175(1–2):4753. doi:10.1016/j.psychres.2009.01.013.CrossRefGoogle ScholarPubMed
Palego, L, Betti, L, Giannaccini, G. Sulfur metabolism and sulfur-containing amino acids: I-molecular effectors. Biochem Pharmacol. 2015;4:1. doi:10.4172/2167-0501.1000158.Google Scholar
Palego, L, Betti, L, Giannaccini, G. Sulfur metabolism and sulfur-containing amino acids: II-autism spectrum disorders, schizophrenia and fibromyalgia. Biochem Pharmacol. 2015;4:2. doi:10.4172/2167-0501.1000159.Google Scholar
Zou, CG, Banerjee, R. Homocysteine and redox signaling. Antioxid Redox Signal. 2005;7(5–6):547559. doi:10.1089/ars.2005.7.547.CrossRefGoogle ScholarPubMed
Loureiro, SO, Romão, L, Alves, T, et al. Homocysteine induces cytoskeletal remodeling and production of reactive oxygen species in cultured cortical astrocytes. Brain Res. 2010;1355:151164. doi:10.1016/j.brainres.2010.07.071.CrossRefGoogle ScholarPubMed
Han, Y, Xi, QQ, Dai, W, et al. Abnormal transsulfuration metabolism and reduced antioxidant capacity in Chinese children with autism spectrum disorders. Int J Dev Neurosci. 2015;46:2732. doi:10.1016/j.ijdevneu.2015.06.006.CrossRefGoogle ScholarPubMed
Melnyk, S, Fuchs, GJ, Schulz, E, et al. Metabolic imbalance associated with methylation dysregulation and oxidative damage in children with autism. J Autism Dev Disord. 2012;42(3):367377. doi:10.1007/s10803-011-1260-7.CrossRefGoogle ScholarPubMed
James, SJ, Cutler, P, Melnyk, S, et al. Metabolic biomarkers of increased oxidative stress and impaired methylation capacity in children with autism. Am J Clin Nutr. 2004;80(6):16111617. doi:10.1093/ajcn/80.6.1611.CrossRefGoogle ScholarPubMed
Tu, WJ, Chen, H, He, J. Application of LC-MS/MS analysis of plasma amino acids profiles in children with autism. J Clin Biochem Nutr. 2012;51(3):248249. doi:10.3164/jcbn.12-45.Google ScholarPubMed
Cai, J, Ding, L, Zhang, JS, Xue, J, Wang, LZ. Elevated plasma levels of glutamate in children with autism spectrum disorders. Neuroreport. 2016;27(4):272276. doi:10.1097/WNR.0000000000000532.CrossRefGoogle ScholarPubMed
Wang, L, Jia, J, Zhang, J, Li, K. Serum levels of SOD and risk of autism spectrum disorder: a case-control study. Int J Dev Neurosci. 2016;51:1216. doi:10.1016/j.ijdevneu.2016.04.004.CrossRefGoogle ScholarPubMed
Zheng, HF, Wang, WQ, Li, XM, Rauw, G, Baker, GB. Body fluid levels of neuroactive amino acids in autism spectrum disorders: a review of the literature. Amino Acids. 2017;49(1):5765. doi:10.1007/s00726-016-2332-y.CrossRefGoogle ScholarPubMed
Guo, BQ, Li, HB, Ding, SB. Blood homocysteine levels in children with autism spectrum disorder: an updated systematic review and meta-analysis. Psychiatry Res. 2020;291:113283. doi:10.1016/j.psychres.2020.113283.CrossRefGoogle ScholarPubMed
Adams, M, Lucock, M, Stuart, J, Fardell, S, Baker, K, Ng, X. Preliminary evidence for involvement of the folate gene polymorphism 19bp deletion-DHFR in occurrence of autism. Neurosci Lett. 2007;422(1):2429. doi:10.1016/j.neulet.2007.05.025.CrossRefGoogle ScholarPubMed
Paşca, SP, Dronca, E, Kaucsár, T, et al. One carbon metabolism disturbances and the C677T MTHFR gene polymorphism in children with autism spectrum disorders. J Cell Mol Med. 2009;13(10):42294238. doi:10.1111/j.1582-4934.2008.00463.x.CrossRefGoogle ScholarPubMed
Main, PA, Thomas, P, Angley, MT, et al. Lack of evidence for genomic instability in autistic children as measured by the cytokinesis-block micronucleus cytome assay. Autism Res. 2015;8(1):94104. doi:10.1002/aur.1428.CrossRefGoogle ScholarPubMed
Kałużna-Czaplińska, J, Michalska, M, Rynkowski, J. Homocysteine level in urine of autistic and healthy children. Acta Biochim Pol. 2011;58(1):3134.CrossRefGoogle ScholarPubMed
Kałużna-Czaplińska, J, Michalska, M, Rynkowski, J. Vitamin supplementation reduces the level of homocysteine in the urine of autistic children. Nutr Res. 2011;31(4):318321. doi:10.1016/j.nutres.2011.03.009.CrossRefGoogle ScholarPubMed
Noto, A, Fanos, V, Barberini, L, et al. The urinary metabolomics profile of an Italian autistic children population and their unaffected siblings. J Matern Fetal Neonatal Med. 2014;27(Suppl 2):4652. doi:10.3109/14767058.2014.954784.CrossRefGoogle ScholarPubMed
Puig-Alcaraz, C, Fuentes-Albero, M, Calderón, J, Garrote, D, Cauli, O. Increased homocysteine levels correlate with the communication deficit in children with autism spectrum disorder. Psychiatry Res. 2015;229(3):10311037. doi:10.1016/j.psychres.2015.05.021.CrossRefGoogle ScholarPubMed
James, SJ, Melnyk, S, Jernigan, S, Hubanks, A, Rose, S, Gaylor, DW. Abnormal transmethylation/transsulfuration metabolism and DNA hypomethylation among parents of children with autism. J Autism Dev Disord. 2008;38(10):19661975. doi:10.1007/s10803-008-0591-5.CrossRefGoogle ScholarPubMed
James, SJ, Melnyk, S, Jernigan, S, et al. A functional polymorphism in the reduced folate carrier gene and DNA hypomethylation in mothers of children with autism. Am J Med Genet B Neuropsychiatr Genet. 2010;153B(6):12091220. doi:10.1002/ajmg.b.31094.CrossRefGoogle ScholarPubMed
First, MB, Williams, JB, Karg, RS, Spitzer, RL. Structured Clinical Interview for DSM-5 Disorders, Clinician Version (SCID-5-CV). Arlington, VA: American Psychiatric Association; 2015.Google Scholar
Nolen-Hoeksema, S, Morrow, J. A prospective study of depression and posttraumatic stress symptoms after a natural disaster: the 1989 Loma Prieta Earthquake. J Pers Soc Psychol. 1991;61(1):115121. doi:10.1037//0022-3514.61.1.115.CrossRefGoogle ScholarPubMed
Mundt, JC, Marks, IM, Shear, MK, Greist, JH. The work and social adjustment scale: a simple measure of impairment in functioning. Br J Psychiatry. 2002;180:461464. doi:10.1192/bjp.180.5.461.CrossRefGoogle Scholar
Eriksson, JM, Andersen, LM, Bejerot, S. RAADS-14 Screen: validity of a screening tool for autism spectrum disorder in an adult psychiatric population. Mol Autism. 2013;4(1):49. doi:10.1186/2040-2392-4-49.CrossRefGoogle Scholar
Carpita, B, Nardi, B, Palego, L, et al. Kynurenine pathway and autism spectrum phenotypes: an investigation among adults with autism spectrum disorder and their first-degree relatives. CNS Spectr. 2022;112. doi:10.1017/S1092852922000840.Google ScholarPubMed
Rehman, T, Shabbir, MA, Inam-Ur-Raheem, M, et al. Cysteine and homocysteine as biomarker of various diseases. Food Sci Nutr. 2020;8(9):46964707. doi:10.1002/fsn3.1818.CrossRefGoogle ScholarPubMed
Zhao, H, Zhang, H, Liu, S, Luo, W, Jiang, Y, Gao, J. Association of peripheral blood levels of cytokines with autism spectrum disorder: a meta-analysis. Front Psychiatry. 2021;12:670200. doi:10.3389/fpsyt.2021.670200.CrossRefGoogle ScholarPubMed
Croonenberghs, J, Wauters, A, Devreese, K, et al. Increased serum albumin, gamma globulin, immunoglobulin IgG, and IgG2 and IgG4 in autism. Psychol Med. 2002;32(8):14571463. doi:10.1017/s0033291702006037.CrossRefGoogle ScholarPubMed
Brondino, N, Rocchetti, M, Fusar-Poli, L, et al. Increased CNTF levels in adults with autism spectrum disorders. World J Biol Psychiatry. 2019;20(9):742746.CrossRefGoogle ScholarPubMed
Jones, KL, Croen, LA, Yoshida, CK, et al. Autism with intellectual disability is associated with increased levels of maternal cytokines and chemokines during gestation. Mol Psychiatry. 2017;22(2):273279. doi:10.1038/mp.2016.77.CrossRefGoogle ScholarPubMed
Gadient, RA, Otten, UH. Interleukin-6 (IL-6) - a molecule with both beneficial and destructive potentials. Prog Neurobiol. 1997;52(5):379390. doi:10.1016/s0301-0082(97)00021-x.CrossRefGoogle ScholarPubMed
Dantzer, R. Cytokine, sickness behavior, and depression. Immunol Allergy Clin North Am. 2009;29(2):247264. doi:10.1016/j.iac.2009.02.002.CrossRefGoogle ScholarPubMed
Bala, KA, Doğan, M, Mutluer, T, et al. Plasma amino acid profile in autism spectrum disorder (ASD). Eur Rev Med Pharmacol Sci. 2016;20(5):923929.Google ScholarPubMed
Chengfeng, S, Wei, L, Xinxing, W, Lei, W, Rui, Z, Lingjia, Q. Hyperhomocysteinemia is a result, rather than a cause, of depression under chronic stress. PLoS One. 2014;9(10):e106625. doi:10.1371/journal.pone.0106625.CrossRefGoogle ScholarPubMed
Moustafa, AA, Hewedi, DH, Eissa, AM, Frydecka, D, Misiak, B. Homocysteine levels in schizophrenia and affective disorders-focus on cognition [published correction appears in Front Behav Neurosci. 2015;9:81]. Front Behav Neurosci. 2014;8:343. doi:10.3389/fnbeh.2014.00343.Google ScholarPubMed
Eszlari, N, Kovacs, D, Petschner, P, et al. Distinct effects of folate pathway genes MTHFR and MTHFD1L on ruminative response style: a potential risk mechanism for depression. Transl Psychiatry. 2016;6(3):e745. doi:10.1038/tp.2016.19.CrossRefGoogle Scholar
Nolen-Hoeksema, S, Wisco, BE, Lyubomirsky, S. Rethinking Rumination. Perspect Psychol Sci. 2008;3(5):400424. doi:10.1111/j.1745-6924.2008.00088.x.CrossRefGoogle ScholarPubMed
Dell’Osso, L, Carpita, B, Gesi, C, et al. Subthreshold autism spectrum disorder in patients with eating disorders. Compr Psychiatry. 2018;81:6672. doi:10.1016/j.comppsych.2017.11.007.CrossRefGoogle ScholarPubMed
Dell’Osso, L, Carpita, B, Muti, D, et al. Mood symptoms and suicidality across the autism spectrum. Compr Psychiatry. 2019;91:3438. doi:10.1016/j.comppsych.2019.03.004.CrossRefGoogle ScholarPubMed
Dell’Osso, L, Muti, D, Lorenzi, P, Della Vecchia, A, Carmassi, C, Carpita, B. Autistic traits and rumination as vulnerability factors towards post-traumatic stress symptoms: shaping psychopathological trajectories. J Psychopathol. 2020;26(1):1220.Google Scholar
Wei, H, Chadman, KK, McCloskey, DP, et al. Brain IL-6 elevation causes neuronal circuitry imbalances and mediates autism-like behaviors. Biochim Biophys Acta. 2012;1822(6):831842. doi:10.1016/j.bbadis.2012.01.011.CrossRefGoogle ScholarPubMed
Wei, H, Mori, S, Hua, K, Li, X. Alteration of brain volume in IL-6 overexpressing mice related to autism. Int J Dev Neurosci. 2012;30(7):554559. doi:10.1016/j.ijdevneu.2012.08.007.CrossRefGoogle ScholarPubMed
Wei, H, Alberts, I, Li, X. Brain IL-6 and autism. Neuroscience. 2013;252:320325. doi:10.1016/j.neuroscience.2013.08.025.CrossRefGoogle ScholarPubMed
Friedman, EM, Hayney, MS, Love, GD, et al. Social relationships, sleep quality, and interleukin-6 in aging women. Proc Natl Acad Sci USA. 2005;102(51):1875718762. doi:10.1073/pnas.0509281102.CrossRefGoogle ScholarPubMed
Eisenberger, NI, Moieni, M, Inagaki, TK, Muscatell, KA, Irwin, MR. In sickness and in health: the co-regulation of inflammation and social behavior. Neuropsychopharmacology. 2017;42(1):242253. doi:10.1038/npp.2016.141.CrossRefGoogle Scholar
Rohleder, N, Aringer, M, Boentert, M. Role of interleukin-6 in stress, sleep, and fatigue. Ann N Y Acad Sci. 2012;1261:8896. doi:10.1111/j.1749-6632.2012.06634.x.CrossRefGoogle ScholarPubMed
Moriarity, DP, McArthur, BA, Ellman, LM, Coe, CL, Abramson, LY, Alloy, LB. Immunocognitive model of depression secondary to anxiety in adolescents. J Youth Adolesc. 2018;47(12):26252636. doi:10.1007/s10964-018-0905-7.CrossRefGoogle ScholarPubMed
Woody, A, Figueroa, WS, Benencia, F, Zoccola, PM. Trait reflection predicts interleukin-6 response to a social-evaluative stressor. Brain Behav Immun. 2016;52:2731. doi:10.1016/j.bbi.2015.10.011.CrossRefGoogle ScholarPubMed
Luchowska, E, Luchowski, P, Paczek, R, et al. Dual effect of DL-homocysteine and S-adenosylhomocysteine on brain synthesis of the glutamate receptor antagonist, kynurenic acid. J Neurosci Res. 2005;79(3):375382. doi:10.1002/jnr.20359.CrossRefGoogle ScholarPubMed
Frank, E, Cassano, GB, Shear, MK, et al. The spectrum model: a more coherent approach to the complexity of psychiatric symptomatology. CNS Spectr. 1998;3(4):2334. doi:10.1017/S1092852900005836.CrossRefGoogle Scholar
Figure 0

Table 1. Comparison of HCY and IL-6 Levels Among Groups

Figure 1

Table 2. Correlations Between AdAS Spectrum Scores and Biochemical Parameters in the Whole Sample

Figure 2

Table 3. Correlations Between RAADS-14 Scores and Biochemical Parameters in the Whole Sample

Figure 3

Table 4. Correlations Between RRS Scores and Biochemical Parameters in the Whole Sample

Figure 4

Table 5. Correlations Between WSAS Scores and Biochemical Parameters in the Whole Sample