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Reduced anterior cingulate glutamate of comorbid skin-picking disorder in adults with obsessive-compulsive disorder Huirong Zheng , Wanqun Yang , Bin Zhang , Guanmin Hua , Shibin Wang , Fujun Jia , Guangquan Guo , Wenjing Wang , Dongming Quan PII: DOI: Reference:
S0165-0327(19)32989-1 https://doi.org/10.1016/j.jad.2020.01.059 JAD 11508
To appear in:
Journal of Affective Disorders
Received date: Revised date: Accepted date:
29 October 2019 8 January 2020 14 January 2020
Please cite this article as: Huirong Zheng , Wanqun Yang , Bin Zhang , Guanmin Hua , Shibin Wang , Fujun Jia , Guangquan Guo , Wenjing Wang , Dongming Quan , Reduced anterior cingulate glutamate of comorbid skin-picking disorder in adults with obsessive-compulsive disorder, Journal of Affective Disorders (2020), doi: https://doi.org/10.1016/j.jad.2020.01.059
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Highlights
1H MRS glutamate in pACC is elevated in adult OCD with comorbid SPD
Results give some evidence that alterations of the glutamatergic system may play an important role in the pathophysiology of a subgroup of comorbid SPD in OCD.
The interaction we observed with skin picking symptoms in OCD may provide an additional explanation for some of the inconsistencies in the previous literature on ACC Glx
This is the first single-voxel acquisition MRS study on pACC glutamate dysregulation related to SPD
Reduced anterior cingulate glutamate of comorbid skin-picking disorder in adults with obsessive-compulsive disorder Huirong Zheng, MD, PhD a 1*; Wanqun Yang, MD, PhDb 1, Bin Zhang, MD, PhDc d; Guanmin Hua, MDe; Shibin Wang, MD, PhDa ; Fujun Jia, MD, PhDa; Guangquan Guo, MDa; Wenjing Wang MD, PhDa; Dongming Quan, MDa a
Guangdong Mental Health Center, Guangdong Provincial People's Hospital,
Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China b
Department of Radiology, Guangdong Provincial People's Hospital, Guangdong
Academy of Medical Sciences, Guangzhou, China c
Department of Psychiatry, Nanfang Hospital, Southern Medical University,
Guangzhou, China d
Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and
Brain-Inspired Intelligence, Guangzhou, China e
Guangzhou Yuexiu District Hospital of Traditional Chinese Medicine, Guangzhou, China
*
Corresponding authors. Huirong Zheng is to be contacted at Guangdong Mental
Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510080, China E-mail address:
[email protected] 1
These authors had equal contribution to this paper.
Word count: main body of text, 2857; abstract, 247
Abstract Background: Obsessive Compulsive Disorder (OCD) is characterized by hyperactivity in a network of forebrain structures, including the anterior cingulate cortex (ACC). Convergent evidence suggests that glutamatergic dysfunction may contribute to the disorder. Skin picking disorder (SPD) was listed as one of the obsessive-compulsive and related disorders, which is often comorbid with OCD and share overlapping phenomenology and pathophysiology. However, potential
confounding effects between the two diagnostic effects on neurotransmitter levels remain largely unexamined. Methods: We examined pregenual anterior cingulate cortex (pACC) glutamate and other neurochemicals in 62 subjects using a single-voxel acquisition 1H MRS at 3Tesla; of these, 47 subjects yielded usable measurements of both glutamate and glutamine and were included in the analysis (17 medicated with OCD alone, 13 medicated with comorbid OCD+SPD, 17 healthy control). Results: OCD with comorbid SPD showed significantly lower pACC glutamate than in patients without SPD (p=0.001) or control subjects (p=0.035). OCD without SPD subjects showed pACC glutamate levels indistinguishable from controls (p=0.501). In the OCD with SPD subjects, glutamate was correlated with Y-BOCS total score in female patients (n=9, r=0.69, p=0.041). Limitations: The main limitation of the study was the cross-sectional data. Our patients were on SSRI medication which may have modified the eff ect of SPD and OCD interaction on glutamate activity. Conclusion: Our results suggest that alterations of the glutamatergic system may play an important role in the pathophysiology of a subgroup of OCD and reduced pACC glutamate may be a biomarker of a distinct subset of OCD patients. Key words obsessive-compulsive disorder; skin-picking disorder; comorbidity; glutamate; MRS; cerebral metabolism changes
Introduction Obsessive-compulsive disorder (OCD) is a psychiatric disorder often characterized by incontrollable thoughts (obsessions) and the urge to engage in repetitive time-consuming behaviors (compulsions) that affects 2-2.5% of the population worldwide (Kessler, Berglund et al. 2005, Ruscio, Stein et al. 2010). Serotonergic antidepressants are the mainstay of the pharmacological treatment of OCD (Koran, Hanna et al. 2007, Soomro, Altman et al. 2008). Both pharmacological and psychotherapeutic treatments are of benefits to many patients; but more than a quarter prove refractory to current treatments, especially in comorbid body-focused repetitive
behaviors (Grant, Mancebo et al. 2015). Furthermore, remission is rare, and many „responders‟ continue to endure significant symptoms and suffering (Fireman, Koran et al. 2001, Koran, Hanna et al. 2007). New pathophysiological insights that may lead to novel treatments are urgently needed. The
anterior
cingulate
cortex
(ACC)
is
a
key
component
of
the
cortical-striatal-thalamic-cortical (CSTC) brain circuitry, and its dysfunction thought to be a pathophysiological feature of OCD (Saxena and Rauch 2000). There is broad consensus that the disorder is associated with relative hypermetabolism within a network of structures in the forebrain and basal ganglia (Burguiere, Monteiro et al. 2015). Functional imaging studies have described abnormalities in the ACC, the caudate nucleus, the anterior thalamus and the orbitofrontal cortex that are often found to correlate with symptom severity; and to resolve with treatment(Maia, Cooney et al. 2008, Menzies, Chamberlain et al. 2008). Magnetic resonance spectroscopy (MRS) provides a noninvasive method to characterize the molecular biochemistry that may contribute to the neurochemical state of OCD. Several studies have reported such as reduced NAA levels in mPFC/ACC (Jang, Kwon et al. 2006, Yücel, Wood et al. 2008, Gnanavel, Sharan et al. 2014) and increased Cho levels in the thalamus (Mohamed, Smith et al. 2007), albeit with some inconsistency (Fan, Tan et al. 2010). More recently, convergent evidence suggests that abnormalities in the excitatory amino acid neurotransmitter glutamate may contribute to OCD, and that glutamate modulators may be of therapeutic utility (Bhattacharyya, Khanna et al. 2009, Pittenger, Bloch et al. 2011, Aida, Yoshida et al. 2015, Pittenger, Bloch et al. 2015). Several Glutamate-related genes have showed tentative associations with OCD (Samuels, Wang et al. 2011, Ortiz, Gasso et al. 2015). The possible contribution of abnormalities in glutamate homeostasis to OCD is therefore an increasingly active area of research. Several studies have reported some efficacy of glutamate-modulating medications in refractory OCD subjects (Pittenger 2015, Emamzadehfard, Kamaloo et al. 2016, Hage, Banaschewski et al. 2016, Paydary, Akamaloo et al. 2016). MRS measurements in specific brain regions support the hypothesis of glutamate abnormalities in OCD, but the results of these studies have not been consistent.(Yücel, Wood et al. 2008, Brennan, Tkachenko et al. 2015, Simpson, Kegeles et al. 2015).
Most MRS studies of OCD have been unable to quantify glutamate separately from glutamine. Instead, the reports focused on a composite measure, Glx, that includes both glutamate and glutamine rather than glutamate or glutamine levels (Simpson, Shungu et al. 2012, Gnanavel, Sharan et al. 2014). In the ACC, published results have been mixed. An early study reported a reduction in ACC Glx in pediatric OCD patients (Rosenberg, Mirza et al. 2004). A similar abnormality was reported in female adults with OCD in one study (Yücel, Wood et al. 2008); However, subsequent studies in adults have been more ambiguous, reporting no between-group difference in ACC Glx in some cases (Starck, Ljungberg et al. 2008, Bedard and Chantal 2011, Brennan, Tkachenko et al. 2015). Recently, another study in adults indicated elevated Glx in adult OCD (O'Neill, Lai et al. 2016). Currently, the results from MRS investigations on the ACC of OCD patients have heterogenic findings of either elevated, normal, or reduced glutamatergic compounds. It is necessary to perform more detailed investigations to understand the heterogeneity of glutamatergic dysfunction in OCD. One added complication of the existing MRS discordance is the potential for interaction with comorbid conditions. Skin-picking disorder (SPD) also known as neurotic excoriation is described as recurrent picking of skin leading to skin lesions and significant distress or functional impairment. SPD was recently listed as one of the obsessive-compulsive and related disorders since skin picking symptoms are frequently present in patients with OCD and share overlapping phenomenology, pathophysiology, and possible genetic underpinnings (Bienvenu, Wang et al. 2009, Grant, Odlaug et al. 2010, Oliveirra, Fitzpatrick et al. 2019). Elevated rates of skin picking have also been reported in OCD patients and their first-degree relatives (Cullen, Samuels et al. 2001). Based on earlier studies, approximately 16.3%-45.2% of OCD cases were accompanied by SPD (Calikusu, Yucel et al. 2003, Lovato, Ferrao et al. 2012). Although neuroimaging studies of SPD are sparse to date, a functional magnetic resonance imaging (fMRI) study has reported functionally lower activation of ACC in patients with SPD (Odlaug, Hampshire et al. 2016), which is dissimilar from the previous report of remarkable hyperactivity at rest in adults with OCD (Maia, Cooney et al. 2008). Interactive effects of OCD and SPD on MRS study on ACC are likely. It
has become increasingly clear that such comorbid symptomatology must be taken into account in analyzing MRS data. Therefore, we aim to clarify some of the ambiguities in MRS studies of OCD by using a 3-Tesla system with an echo time of 35ms to isolate the glutamate signal more clearly from the contributions of glutamine and macromolecules, in OCD patients with and without comorbid SPD.
Materials and Methods Subjects This study was carried out under guidelines established by the Guangdong Provincial People‟s Hospital Institutional Review Board. Written informed consent was obtained from all subjects after study procedures were fully explained. A total of 62 subjects were scanned; of these, 47 subjects yielded usable measurements of both glutamate and glutamine and were included in the analysis (17 with OCD alone, 13 with comorbid OCD+SPD, 17 age-and-gender matched healthy control). Women and men based on DSM-5 criteria were recruited by media advertisements and referrals. A board-certified psychiatrist with expertise in SPD and body-focused repetitive behaviors conducted a structured clinical interview with each participant to confirm the diagnosis. Clinical symptomatology was rated using the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Hamilton Depressive Rating Scale (HAMD), Hamilton Anxiety Scale (HAMA) and the Yale-Brown Obsessive Compulsive Scale modified for Neurotic Excoriation (NE-YBOCS). Subjects were between 18 and 45 years of age. All patients were on a stable SSRI medication regimen (for 8 weeks or more). To be enrolled in the study, subjects with OCD alone had to have a Y-BOCS score>16. Subjects with comorbid OCD+SPD had to meet full DSM-5 criteria for both disorders and have both Y-BOCS>16 and NE-YBOCS>16. Subjects with other concurrent Axis I diagnoses, including depression, bipolar disorder, psychotic disorders, substance abuse, or comorbid medical conditions affecting brain function (i.e., history of seizure disorder, pregnancy, etc.) were excluded. Participants were recruited from December 2016 through November 2018 at the Guangdong Provincial People‟s Hospital. Demographic information and clinical data are given in Table 1.
MRS Data Acquisition and Quantitation Protocol All participants underwent whole-brain MRI and localized MRS using a 3-Tesla (3T) Philips Ingenia ( Digital Network Architecture MRI ) system equipped with a 16-channel head coil. Structural MRI was acquired with an axia loblique (genu-splenium parallel) magnetization-prepared rapid gradient-echo (MPRAGE) pulse-sequence. This MPRAGE and “coronal” and “sagittal” resliced copies were used to prescribe MRS. A neuroradiologist reviewed MRIs to exclude subjects with clinical abnormalities. Single-voxel water-suppressed stimulated echo acquisition mode (STEAM) MRS (TR/TE=2000/35 ms, 128 Number of excitation ) was acquired from ACC site. A voxel measuring 3×2.5×3cm was placed midline in the pregenual anterior cingulate cortex (pACC, BA32), as in Fig. 1A. Voxel size was selected to maximize the ACC volume being sampled and thus maximize signal to noise ratio, without including a large volume of surrounding structures. Each MRS voxel was shimmed locally with pencil beam shimming. MR spectra were fit with LCModel yielding levels of glutamate (Glu), glutamine (Gln),
and
the
other
proton
neurometabolites
N-acetyl-aspartate+
N-acetyl-aspartyl-glutamate(tNAA),creatine+phosphocreatine(Cr), choline-containing compounds (Cho) and myo-inositol (mI); all referenced to unsuppressed water (Fig. 1B) and expressed in Institutional Units (IU). Spectra were analyzed with LC model using a basis set derived from scans of metabolite solutions using the same acquisition sequence. The basis set included aspartate, creatine, Glu, Gln, mI, choline, phosphorylcholine, phosphocreatine, glycerophosphorylcholine, N-acetylaspartate, and phosphocreatine. Values for each of the individual neurometabolite signals were rejected if the Cramer-Rao Lower Bound of the spectral fit exceeded 20%, except Gln (rejected if the Cramer-Rao Lower Bound of the spectral fit exceeded 50%). Spectra with obvious artifact or poor quality (linewidth>0.1 ppm, signal-to-noise<4) were aslo rejected. Statistical Methods
All statistical analyses were performed using IBM SPSS Statistics 21 (CITE). Data analyses were conducted on six dependent measures: Glu, Gln, mI, Cho, Cr, and tNAA. The data were first screened for distributional properties, outliers, and missing values. No variables were rejected by this process. The data are expressed as mean± SD. The primary tests between group analyses (OCD, OCD+SPD, and controls) were conducted through ANOVA or Chi-square tests. Results were considered statistically significant different when P<0.05. Post-hoc tests were done using the Bonferroni correction. The secondary analyses between groups (OCD, OCD+SPD) or within group (male, female) were conducted through independent T-test or Mann-Whitney U test. In an exploratory analysis, measured glutamate and other metabolites were correlated with clinical ratings using Spearman correlation.
Results Demographic and clinical characteristics of all OCD patients and controls Table 1 presents the demographic and clinical characteristics of all three groups (age range 18-42 years; median age 27 years; 25 females). The three groups did not differ significantly in age, education, or male-female ratio. There were no significant differences between the two patient groups on total YBOCS score and presence of obsessive or compulsive symptoms. However, OCD with SPD subjects showed greater anxiety symptom (HAMA scores) than OCD subjects without SPD(t(28)=-3.59, p =0.001, table 1). Also OCD with SPD group showed significant HAMA difference in female patients comparable to OCD without SPD subjects (t(14)=-2.79, p=0.02, table 1). No other two group comparisons were significant. ACC glutamate and glutamine in OCD patients and those with comorbid SPD compared to controls. In a three-group analysis (N = 47), ANOVA revealed a significant difference in glutamate levels between OCD, OCD with SPD, and controlled subjects (F (2, 44) = 7.858, p =0 .001, see table 2). In post hoc test, a significant difference was found between OCD and OCD with SPD. OCD with SPD subjects had significantly lower glutamate levels than OCD group (p=0.001, Bonferroni). Compared with the controlled group, the OCD with SPD group also showed lower glutamate levels
(p=0.035, Bonferroni). There was no significant difference between OCD patients with or without SPD in ACC glutamine (F (2, 44) = 0.834, p= 0.441), or in glutamate +glutamine (F(2, 44) = 1.799, p = 0.177). Other metabolites in OCD patients and those with comorbid SPD compared to controls. In an ANOVA analysis, we examined other major metabolites measured in ACC by MRS: Cho, mI, Cr and tNAA (see Table 2). A nominally significant difference was found between OCD patients, with comorbid SPD patients and controlled subjects in ACC tNAA (F(2, 44)=3.773, p = 0.031). However, there was no significant difference between OCD patients with or without SPD in ACC tNAA (p=0.062). There were also no significant difference between OCD patients, with comorbid SPD patients and controlled subjects in ACC Cho, mI, and Cr. In OCD without SPD subjects, female patients had significantly lower Cr levels than OCD male subjects (Mann-Whitney U test =9.0, p=0.01). Associations between glutamate and glutamine levels and clinical measures in OCD patients and those with comorbid SPD To further investigate the relationship between ACC glutamate and clinical measures in both OCD groups, we performed a series of correlation analyses. In all OCD and comorbid SPD patients, ACC glutamate was negatively correlated with clinical measures of anxiety severity (n=30, r=-0.55, p=0.002). In the OCD without SPD group, no significant association was found between glutamate and Y-BOCS total score, YBOCS obsessions, YBOCS compulsions, HAMA, or HAMD scores. In the OCD with comorbid SPD group, glutamate was correlated with Y-BOCS total score in female patients (n=9, r=0.69, p=0.041). There were no other correlations in the OCD with SPD group between glutamate level and any of the other clinical measures.
Discussion Glutamatergic homeostasis and glutamate dysregulation contribute to OCD has garnered increasing attention in recent years (Ting and Feng 2008, Gnanavel, Sharan et al. 2014). We used 1H MRS to measure glutamate, glutamine, and other neurochemicals in the ACC, a brain region that exhibits abnormal metabolism
(Pittenger, Bloch et al. 2011, Simpson, Shungu et al. 2012) in patients with OCD. We found reduced pACC glutamate only in OCD patients with comorbid SPD. Correlation analysis suggested that glutamate levels were negatively correlated with anxiety, which is the predictor of pACC glutamate. A prior study has suggested that subclinical anxiety was closely related to brain metabolite ratios of OCD. It should be considered in assessing brain metabolite concentrations and may be central to the comprehension of OCD (Bedard and Chantal 2011). In addition, a correlation with Y-BOCS was found in the female OCD with SPD patients that consistent with a gender-specific association described in an earlier study examining ACC Glx in patients with OCD (Yücel, Wood et al. 2008). Gender-related differences in obsessive-compulsive symptoms and comorbid skin picking symptoms may be a gender-related reflection of the expression of the OCD phenotype (Torresan, Ramos-Cerqueira et al. 2009, Lovato, Ferrao et al. 2012).
Previous MRS investigations of ACC Glx in OCD have produced inconsistent results (Starck, Ljungberg et al. 2008, Bedard and Chantal 2011, O'Neill, Lai et al. 2016). There are several explanations that might be contributing to these discrepancies. Previously published studies of OCD have reported Glx rather than isolating glutamate (Ortiz, Ortiz et al. 2015, O'Neill, Lai et al. 2016); the fact that we find a statistically significant effect of diagnostic group on glutamate but not significant effect on combined glutamate+glutamine suggests that isolated glutamate may provide greater sensitivity to identify the underlying neurochemical abnormalities. Also conflicting results are possibly influenced by demographics (pediatric vs adult); pediatric OCD patients may differ from adults with respect to their ACC Glx (Rosenberg, Mirza et al. 2004). Finally, it may be necessary to account for comorbid conditions in such analyses in order to identify the maximum sensitivity between subgroups in glutamate.
Our failure to find abnormal Glu in pACC in OCD without SPD is consistent with some of these studies (Starck, Ljungberg et al. 2008, Bedard and Chantal 2011). There
are several possible explanations for the finding of glutamate differences only in patients with comorbid SPD. It is possible that SPD leads to reduced ACC glutamate in this ACC voxel and thus balances an OCD-related elevation in ACC glutamate. Although there is no MRS study of SPD to date, some studies have reported that supplementation of glutamate-modulating medications can improve skin picking symptoms (Deepmala, Slattery et al. 2015, Grant, Chamberlain et al. 2016, Sani, Gualtieri et al. 2019). It is also possible that SPD has no effect on ACC glutamate, but that SPD and OCD interact pathophysiologically in a way that reduces glutamate. It is unclear how such an interaction might occur. Exploration of these two possibilities will require replication of this investigation with the inclusion of an additional group with SPD but without OCD. Finally, it may be that OCD patients with SPD represent a distinct subgroup of OCD that is uniquely associated with low ACC glutamate, in some patients. The interaction we observed with skin picking symptoms in OCD patients may provide an additional explanation for some of the inconsistencies in the previous literature on ACC Glx.
This study has several limitations that should be considered. First, this was a cross sectional study, so causal interpretations are inherently limited. Future prospective research is now warranted to elucidate the associations observed in this study. Second, our participants received continuing medications, which might alter brain metabolism (Lissemore, Sookman et al. 2018). However, the effect of this confounding was minimized by ensuring a stable SSRI medication for at least 8 weeks before inclusion. Another limitation is the relatively small sample that also limits the generalizability of the findings. Future studies with larger samples will need to include a SPD alone group would enable eff ects of SPD and OCD interaction to be more clearly separated from those relating to glutamate change. Finally, this study didn‟t perform tissue segmentation (gray-matter, white-matte and CSF content) of the pACC voxels. It might be better to calculate tissue composition in future longitudinal study to separately clarify the difference in gray and white matter between groups.
In summary, our data provide support for the presence of glutamate abnormalities in the pACC of a subgroup of comorbid SPD in OCD. These results require replication and extension. In particular, clarification of the relationship between the effects of OCD and of SPD on ACC glutamate will be an interesting area for future research. The dysregulation of glutamate serves as a potential target for the OCD pharmacotherapy and the detailed mechanisms underlying the glutamate alterations within CSTC circuits merit further investigations from both neuroimaging and genetic studies.
Funding/support This work was supported by the Science and Technology Planning Project from Guangdong Province (2014A020212587), the Science and Technology Special Foundation of Guangdong Provincial People's Hospital (2017), the Natural Science Foundation of Guangdong Province (2018A030313989), and the Science and Technology Program of Guangzhou (201804010331).
Contributors HZ, WY, and BZ designed the study and performed MRS data collection. GH and SW undertook the clinical statistical analyses. FJ, GG, WW and DQ played an important role in the acquisition of clinical data. HZ drafted the manuscript and completed a first version of the article. All authors contributed to manuscript revision, read, and approved the submitted version.
Disclosure/ Conflict of interest All authors report no biomedical financial interests or potential conflicts of interest.
Acknowledgements We extend our sincere thanks to the all subjects who participated in this study. We thank Zhiwei Shen, MD, PhD for optimizing on magnetic resonance data acquisition
and analysis. Great thanks to Rani Angeli T.B. and James Sundquist, PhD, for providing invaluable help in modifying the manuscript.
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Figure 1.
A. Example midline pregenual anterior cingulate cortex voxel
placement, illustrated here. B. Glutamate, glutamine, and other metabolites were collected from the anterior cingulate cortex. MRS spectra (sample data shown in black) were fitted (shown in red) to derive concentrations. Abbreviations: Glu, glutamate;
Gln,
N-acetyl-aspartyl-glutamate;
glutamine; Cr,
creatine
tNAA, plus
choline-containing compounds; mI, myo-inositol.
N-acetyl-aspartate+ phosphocreatine;
Cho,
Figure 2.
Glutamate and glutamine in patients between OCD and OCD+SPD.
A.
ACC glutamate differed across diagnostic groups (F (2, 44) = 7.86, p =0 .001). This difference derived from lower glutamate in OCD+SPD patients (p=0.001, Bonferroni); glutamate in OCD alone patients was indistinguishable from that in controls; ** p = 0.001. B. There was no significant between-group difference in ACC glutamine.
Figure 3. Clinical correlations with ACC glutamate. A. ACC glutamate was negatively correlated with Hamilton Anxiety Scale(HAMA)in OCD and OCD+SPD patients. B. In the OCD without SPD group, no significant association was found between glutamate and Y-BOCS total score. C. ACC glutamate was not correlated significantly with OCD symptom intensity, as measured by the Y-BOCS total score, across all OCD+SPD patients. However, when only female patients were considered, there was a positive correlation between Y-BOCS and ACC glutamate.
Table 1
Demographic and clinical characteristics
Measure
Control
OCD
OCD+SPD
n=17
n=17
n=13
Gender, male/female
8/9
10/7
4/9
0.31
Age, years
28.1±5.8
26.9±7.4
24.5±5.1
0.31
a
Male
27.4±4.7
28.9±6.7
25.6±2.6
0.58
a
Female
28.7±6.9
24.1±3.0
24.1±6.0
0.30
a
Education, years
16.1±2.4
14.5±2.7
14.0±2.2
0.07
a
Male
16.4±3.2
14.6±2.3
13.0±3.2
0.16
a
Female
15.8±1.6
14.3±3.6
14.4±1.7
0.35
a
Onset age, years
18.3±5.1
19.5±4.4
0.49b
Male
20.2±5.9*
22.8±1.0
0.42 b
Female
15.6±1.6
18.1±4.7
0.19 b
Y-BOCS
25.4±4.1
25.5±4.9
0.99 b
Male
25.9±4.1
23.8±7.1
0.49 b
Female
24.6±4.0
26.2±3.8
0.41 b
Y-BOCS obsessions
12.9±3.5
12.9±2.63
0.99 b
Male
12.6±3.8
12.0±4.1
0.79 b
Female
13.3±3.1
13.3±1.9
0.97 b
Y-BOCS Compulsions
12.4±4.9
12.5±2.6
0.92 b
Male
13.2±5.8
11.8±3.1
0.65 b
Female
11.3±2.9
12.9±2.4
0.25 b
NE-YBOCS
27.2±4.4
Male
25.5±6.0
Female
27.9±3.6
Significance
HAMD
9.4±3.0
10.1±3.8
0.58 b
Male
9.2±2.9
6.3±1.5**
0.08 b
Female
9.4±3.4
11.7±3.1
0.17 b
HAMA
11.1±2.9
15.2±3.2
0.001 b
Male
11.3±2.5
13.5±1.7
0.14 b
Female
10.9±3.6
15.9±3.5
0.02 b
Data are mean±standard deviation or n/n; a. 1-way ANOVA, main effect of diagnostic group; b. Independent-samples t-test; * Independent-samples t-test: p<0.05 for male vs. female within OCD group; ** Independent-samples t-test: P<0.01 for male vs. female within OCD+SPD group.
Table 2.
Metabolites in anterior cingulate cortex in healthy subjects and
patients between OCD and OCD+SPD. Measure
Control
OCD
OCD+SPD
F
P
Glu
10.58±2.38
12.10±3.90
7.53±2.92 a b
7.86
0.001
Male
11.43±1.62
12.07±4.85
7.03±2.87
Female
9.83±2.77
12.13±2.28
7.76±3.09
Gln
6.32±3.04
6.94±4.43
8.24±4.67
0.84
0.44
Male
6.41±2.45
8.20±4.99
9.54±6.02
Female
6.24±3.65
5.15±2.96
7.67±4.24
mI
1.78±1.60
2.22±1.53
3.32±2.91
2.12
0.13
Male
1.52±1.46
2.38±1.60
2.48±1.60
Female
2.02±1.64
2.00±1.51
3.70±3.43
Cr
8.07±1.07
8.10±1.15
7.41±2.25
0.94
0.40
Male
8.53±1.33
8.69±1.17**
8.16±1.13
Female
7.66±0.58
7.27±0.37
7.08±2.60
Cho
1.90±0.24
2.09±0.37
1.96±0.42
1.31
0.28
Male
1.99±0.23
2.23±0.31
1.92±0.28
Female
1.82±0.23
1.88±0.37
1.98±0.48
tNAA
8.18±1.01
8.14±1.52
6.58±2.66
3.77
0.03
Male
8.47±1.16
8.69±1.70
7.49±1.94
Female
7.92±0.71
7.35±0.81
6.17±2.94
Glu+Gln
16.90±2.64
19.04±4.86
15.78±6.11
1.97
0.15
Male
17.84±3.20
20.27±5.21
14.67±3.71
Female
16.07±1.83
17.28±4.02
16.27±7.07
Data are mean±standard deviation; a. Control subjects differ from OCD+SPD patients, p=0.035 (Bonferroni correction); b. OCD patients differ from OCD+SPD patients, p=0.001(Bonferroni correction);
**.
Male
patients
differ
from
female
patients,
p=0.01(Mann-WhitneyUtest);Glu,glutamate;Gln,glutamine;mI,myo-inositol;Cho,choline-compou nds;tNAA,N-acetyl-aspartate+N-acetyl-aspartyl-glutamate;Cr, creatine+phosphocreatine.