Hamed R. A, Elmalt H. A, Salama A. A. A, Hammouda S. M, Youness E. R, Abd-Allah N. A, AlZaree F. A, Abozaid S. Y, Ashour H. S. MMP-2, MMP-9, TNF-α Levels in Relation to Sub types of Attention Deficit Hyperactivity Disorder. Biomed Pharmacol J 2021;14(2).
Manuscript received on :13-01-2021
Manuscript accepted on :24-05-2021
Published online on: 28-05-2021
Plagiarism Check: Yes
Reviewed by: Dr. Pranjal gogoi  
Second Review by: Dr. Sudhanshu Mishra  
Final Approval by: Dr. Fai Poon

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Rania A. Hamed1 , Heba A. Elmalt2 , Abeer A. A. Salama3 , Safaa M. Hammouda1 ,  Eman R. Youness2* , Naglaa A. Abd-Allah4 , Fatma A. AlZaree5 , Sarah Y. Abozaid6 and Hala S. Ashour7

1Department of Psychiatry, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt.

2Medical Biochemistry Department, Medical Research Division, National Research Centre, Giza, Egypt.

3Pharmacology Department, National Research Centre, Giza, Egypt.

4Department of Pediatric, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt.

5Child Health, Medical Research Division, National Research Centre, Giza, Egypt.

6Department of Clinical Pathology, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt.

7Department of Psychiatry, Faculty of Medicine , Mansoura University, Mansoura , Egypt.

Corresponding Author E-mail: : hoctober2000@yahoo.com

DOI : https://dx.doi.org/10.13005/bpj/2156

Abstract

Many authors have suggested the association between Attention Deficit Hyperactivity Disorder (ADHD) and inflammation through various mechanisms among which increased serum cytokines.30 newly diagnosed ADHD children, aged 6-12and of both sexes were collected from outpatient clinic, Psychiatry Department, Al Zahraa University Hospital and a matched control group of 30 children. They were subjected to Clinical assessment, Whechsler Intelligence Scale for children (WISC), Conners' Parent Rating Scale-Revised & serum MMP-2, MMP-9, TNF-α levels were determined. There was statistical significant difference between patient and control groups regarding MMP-2 level (648.50 ± 81.94 vs 344.13 ± 32.02), MMP-9 level (143.00±16.98 vs 102.90 ± 4.13) & TNF-α level (345 ± 7.1.vs 202 ± 22.3). Hyperactive/impulsive subtype represented 16(53.3%), Inattentive subtype represented 6(20%), Combined subtype represented 8(26.7%) of the ADHD group. MMP-2, MMP-9, TNF-α levels were all higher among the Hyperactive/impulsive subtype, followed by thecombined subtype then the Inattentive subtype with high statistical significant difference. A high statistical significant difference was found in all subscales of Conners' scale among the 3 subtypes of ADHD. A positive correlation was found between TNF-α level and age, whereas, a negative correlation exists between MMP-2, MMP-9, TNF-α level and IQ. In addition, correlation was found between MMP-2, MMP-9 levels and cognitive problems, TNF-α level and inattention.Our study illustrates the co-occurrence of inflammatory process and ADHD, but further studies on larger sample are needed.

Keywords

Attention Deficit Hyperactivity Disorder; MMP-2; MMP-9; TNF-α

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Hamed R. A, Elmalt H. A, Salama A. A. A, Hammouda S. M, Youness E. R, Abd-Allah N. A, AlZaree F. A, Abozaid S. Y, Ashour H. S. MMP-2, MMP-9, TNF-α Levels in Relation to Sub types of Attention Deficit Hyperactivity Disorder. Biomed Pharmacol J 2021;14(2).

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Hamed R. A, Elmalt H. A, Salama A. A. A, Hammouda S. M, Youness E. R, Abd-Allah N. A, AlZaree F. A, Abozaid S. Y, Ashour H. S. MMP-2, MMP-9, TNF-α Levels in Relation to Sub types of Attention Deficit Hyperactivity Disorder. Biomed Pharmacol J 2021;14(2). Available from: https://bit.ly/3uyrX45

Introduction

Attention Deficit Hyperactivity Disorder (ADHD) is the most common neuro developmental disorder in childhood, it can persist into adolescence and adulthood, it is characterized by sustained symptoms of inattention and/or hyperactivity and impulsivity, based on symptoms, 3 presentations of ADHD can occur: Combined Presentation, Predominantly Inattentive Presentation, and Predominantly Hyperactive/Impulsive Presentation 1.

The incidence of ADHD shows large variability, it is estimated to range between 3 – 11% 2& reached 20% in school aged children in USA 3& 20.5% in Egypt 4.ADHD symptoms lead to significant impact on the children’s quality of life as shown by poor academic performance, low self-esteem and progressive social deterioration 5.

The exact pathogenesis of ADHD is not fully understood, but a growing body of evidence for the role of the immune process and inflammatory mechanisms has been hypothesized 6.

Many authors have suggested the association between ADHD and inflammation 7,8,9. The inflammatory pathways are related to the pathophysiology of ADHD through various mechanisms, among which increased serum cytokines as indicated by several studies 10.

TNF-α is a proinflammatory cytokine, produced by macrophages and other cells such as B cells, T cells and activated monocytes in response to various stimuli 11, it is  involved in controlling a broad variety of biological processes including the proliferation, differentiation, apoptosis of cells 12.It has also been documented that TNF-α plays a key role in tryptophan metabolism and dopaminergic pathways which are also involved in ADHD 13.Moreover, TNF-α is a potent stimulant for metalloproteinases expression in the brain through their release and activation 14.

Metalloproteinases (MMPs) are extracellular matrix (ECM)-degrading enzymes involved in inflammatory processes and remodeling of tissues 15,16.Thus, metalloproteinases have a role in the production of brain injury through either their proteolytic activity on the ECM or, moreover, their ability to increase the levels of soluble TNF-α levels as well 17.

Although many studies have investigated prevalence, characteristics and pathogenesis of ADHD patients, yet , no sufficient informations are available for evaluation of MMP-2, MMP-9, TNF-α  in such patients.

Aim

Since the detection of ADHD pathogenesis is essential for the development of new therapeutic approaches, we aimed to measure serum matrix MMP-2, MMP-9 and TNF-α in ADHD and correlate them with subtypes of ADHD.

Subjects and Methods

A case control study was conducted on a convenience sample of 30 newly diagnosed children with ADHD based on DSM 5 criteria, aged between 6-12 and of both sexes, they were collected from outpatient clinic, Psychiatry Department, Al Zahraa University Hospital, Cairo, Egypt. Patients with other comorbid psychiatric,neurological, autoimmune disorders or intellectual disability or having history of infectious disease within the last 3 months were excluded from the study. A control group of 30 children matched for age and sex were recruited from typically developing children having no history of psychiatric, neurological, autoimmune disorders or intellectual disability or infectious disease within the last 3 months.

All participants were subjected to the following:

Clinical assessment with a semistructured psychiatric sheet based on psychiatricinterview forchildren.

Whechsler Intelligence Scale for children (WISC)18, Arabic version 19: To assess different categories of IQ. Children with IQ < 70 were excluded from the study.

Conners’ Parent Rating Scale-Revised20,The Arabic version21: To diagnose ADHD in children and adolescents (3-18 years old), it comprises of 5 subscales: Cognitive problems, hyperactivity, inattention, liability and Hyperactivity/impulsivity.

Determination of serum MMP-2, MMP-9, TNF-α levels with the use of Enzyme-Linked    Immunosorbent Assay (ELISA):

The human serum MMP-2, MMP-9 and TNF-α were assessed by using the RayBio ® Human ELISA (Enzyme-Linked Immunosorbent Assay). Instructions were followed for obtaining results. Samples were pipetted with MMP-2, MMP-9 and TNF-α human antibodies, they were incubated & then washed and biotinylated antihuman MMP-2, MMP-9 and TNF-α antibody were added. Biotinylated antibody and horseradish peroxidase-conjugated streptavidin were pipetted and washed again. Tetramethylbenzidine substrate solution was added & intensity of the developed color was measured.

Data analysis

Statistical analysis was performed using SPSS (Statistical Package of Social Science) version 21.0 for the collected and coded data. Statistical significant difference were considered at P value < 0.05.

Results

The sociodemographic analysis of both ADHD and control groups showed that they were matching regarding age, sex, IQ assessment with no significant difference at P value. High statistical significant difference was present between both groups regarding MMP-2 level (648.50 ± 81.94, 344.13 ± 32.02 respectively), MMP-9 level (143.00 ± 16.98, 102.90 ± 4.13 respectively)&TNF-α level ( 345 ± 7.1, 202 ± 22.3 respectively).

ADHD group were further subdivided into 3 subtypes:

Hyperactive/impulsive subtype representing 16(53.3%), Inattentive subtype representing 6(20%), Combined subtype representing 8(26.7%) of the patient group (Table 1).

Table 1: Comparison between patient and control group regarding various parameters, MMP-2, MMP-9 and TNF-α levels.

Patient group

(N=30)

Control group

      (N=30)

t test

 

P value
 

Age

(mean ± SD)

 

9.37 ± 1.88

 

9.20 ± 1.75

 

t = 0.3625

 

 

0.7183

 Sex  

 

Male 19 18  

X2=0.07

 

0.79

Female 11 12
WISC

(mean ± SD)

 

 

Total IQ 96.80 ± 3.24 97.80 ± 1.75 t = 1.4874    0.1423
Verbal IQ  96.00 ± 3.25        97.1 ± 2.03 t=1.5723    0.1213
Performance IQ  96.70 ± 2.37        97.70 ± 2.22  t = 1.6867    0.0970
MMP-2(pg/ml)

(mean ± SD)

648.50±81.94        344.13±32.02 t = 18.9499 <0.0001
MMP-9(pg/ml)

(mean ± SD)

143.00±16.98        102.90 ± 4.13 t=12.5686 <0.0001
TNF-α(pg/ml)

(mean ± SD)

 345 ± 7.1 202 ± 22.3 t =33.4677 <0.0001
ADHD subtype

      (N,%)

 

 

Hyperactive/

impulsive

16(53.3%)
Inattentive  6(20%)
Combined  8(26.7%)

Comparison between MMP-2 and MMP-9, TNF-α level in subtypes of ADHDshowsthat all levels were higher among the Hyperactive/impulsive subtype, followed by the combined subtype then the Inattentive subtype with high statistical significant difference.

Table 2: Comparison between MMP-2 and MMP-9, TNF-αlevel in sub types of ADHD.

Hyperactive

/Impulsive

 (N=16)

 

 

Inattentive

 

(N=6)

 

Combined

 

(N=8)

 

F test P value
MMP-2(pg/ml)

(mean ± SD)

157±15.38a 118.17±1.94b 133.07±14.24c 20.63 <0.0001
MMP-9 (pg/ml)

(mean ± SD)

713.75±38.47a 571.17±8.61b 621.00±44.90c 39.13 <0.0001
TNF-α(pg/ml)

(mean ± SD)

357±7.4a 341±1.6b 345± 2.3c 22.61 <0.0001

Same letter means non-significant difference, while different letter means high significant difference at (P ˂0.001).

Comparing between subtypes of ADHD regarding WISC, no significant difference was found regarding total, verbal, performance IQ, however, a high statistical significant difference was present in all subscales of Conners’ scale.

Table 3: Comparison between subtypes of ADHD regarding WISC,Conner’s test.

Hyperactive/

Impulsive

 

(N=16)

 

Inattentive

 

(N=6)

 

Combined

 

(N=8)

 

F test

 

 

    P value
WISC

(mean ± SD)

Total IQ 97.94 ± 1.81 98.00 ± 1.79 97.38 ± 1.77 0.3 0.73
Verbal IQ 98.00 ± 1.86 98.67 ± 1.03 96.63 ± 2.56 2.1 0.14
Performance IQ 97.44 ± 2.48 98.50 ± 1.87 97.63 ± 2.00 0.48 0.62
Conners’ scale
Cognitive problems 70.69±11.25 78.83 ± 5.98 83.13 ± 6.25 5.17 0.012
Hyperactivity 84.94 ± 7.11 57.50 ± 3.26 81.13 ± 5.73 43.62 <0.0001
Inattention 54.93 ± 1.81 79.50 ± 7.05 77.25 ± 7.04 67.8 <0.0001
Liability 63.69±11.25 53.00 ± 5.37 73.13±12.75 5.91 0.007
Hyperactivity/

impulsivity

77.88 ± 5.81 53.55 ± 6.52 76.38±12.31 20.76 <0.0001

A positive correlation was found between TNF-α level and age, whereas, a negative correlation exists between MMP-2, MMP-9, TNF-α level and IQ. In addition, correlation was found between MMP-2, MMP-9 levels and cognitive problems, TNF-α level and inattention, Hyperactivity/impulsivity.

Table 4: Correlation between MMP-2, MMP-9 and TNF-αlevel and various parameters

          MMP-2              MMP-9               TNF-α
R P value R P value R P value
Age 0.16 > 0.05 0.09 > 0.05 0.397 < 0.001*
IQ – 0.39 < 0.001* – 0.48 < 0.001* – 0.44 < 0.001*
Conners’ scale
Cognitive problems 0.347 < 0.001* 0.41 < 0.001* 0.103 > 0.05
Hyperactivity 0.093 > 0.05 0.031 > 0.05 0.083 > 0.05
Inattention 0.03 > 0.05 0.037 > 0.05 0.43 < 0.001*
Liability 0.053 > 0.05 0.064 > 0.05 0.072 > 0.05
Hyperactivity/

impulsivity

0.064 > 0.05 0.076 > 0.05 0.24 < 0.001*

*High significance, P value < 0.001

Discussion

Recent studies have suggested the link between many psychiatric disorders and inflammatory processes such as schizophrenia and mood disorders 22.Despite hundreds of studies conducted on ADHD, yet, its pathogenesis remains a controversial issue among researchers & the contribution of inflammation is still unclear.The exact role of MMP-2 in ADHD remains ambiguous due to lack of data in various studies, however, few studies are available on the relation between MMP-9, TNF-α and ADHD but none of them was conducted in Egypt.So, it seems necessary to us to carry out this study to explore the eventual role of MMP-2, MMP-9and TNF-α as possible markers of ADHD.

In our study, WISC assessment of IQ in both ADHD group and control group was statistically non-significant.In many studies, intellectual ability of children with ADHD was investigated & discrepancies between results were obtained. Although, some studies revealed differences in cognitive variables between ADHD children compared with healthy ones, yet, many studies were in accordance with our study, amongest which the study of Naglieri et al. who examined the relation between  WISC and the scores of Conners’ Scale (parent form) and found non-significant correlation23. Also, kaplan et al. tested 63 ADHD children with WISC & found the majority of ADHD children to have the average range of scoring24.

In our study, There was high statistical significant difference between ADHD group and control group regarding MMP-2, MMP-9 & TNF-α  levels. Our result was in accordance with the study of Kadziela-Olech et al. who studied a group of 37 boys with ADHD and found the level of MMP-9 was associated significantly with symptoms of ADHD25. Another study done by Soltanifar et al. on 20 children aged between 2-10 were diagnosed with ADHD revealed an increase in the level of TNF-α in these children than in the control group26. These findings indicate a correlation between the risk of ADHD occurrence and inflammatory process.

To the contrary to our study, Oades et al. detected no differences in serum TNF-α in 21 ADHD treatment-naïve patients compared to the control group, however, they found significant differences between 14 medicated children and the non-medicated ones27. A larger sample group is mandatory to reach a final conclusion.

In our study, we also correlated MMP-2, MMP-9 & TNF-α levels with subtypes of ADHD. The highest level were found among the Hyperactive/impulsive subtype. The same result was obtained by Kadziela-Olech et al. who found a correlation between serum MMP-9 and impulsivity25. Also, Cortese et al. assessed symptoms of ADHD in 52 obese children/adolescents & revealed a significant correlation between TNF-α & hyperactivity/impulsivity28.

This can be explained by the fact that inflammatory markers have been proved to be one of the key markers linked to impulsive behavior 29.In addition, many studies have established a correlation between impulsivity and inflammatory processes 30, 31.

In our study, by comparing between sub types of ADHD, no significant difference was found regarding total, verbal, performance IQ, however, a high statistical significant difference was found in all sub scales of Conners’ scale.

These findings were similar to that of Oner et al. who evaluated 537 ADHD patients aged between 6-15 and both combined and inattentive subtypes, using WISC, they found that total and performance IQ were not significantly different32. Moreover, similarly to our result, they found that Verbal IQ was higher among the inattentive subtype, but also not statistically significant.

Also, in the study of Grizenko et al. ADHD children, Combined/Hyperactive versus Inattentive subtypes were evaluated & no IQ difference was found between both groups33.This can be explained by the fact that relation between the cognitive problems and behavioral difficulties in ADHD is bidirectional 34.

Inour study, TNF-α level was positively correlated with age, whereas, no correlation was found between MMP-2, MMP-9 and age.Many studies suggest the effect of age on cytokines expressiveness 35. A study of 37 children aged between 1 and 17 years revealed that TNF-α concentration had a positive association with age 36. However, similarly to our result, Kadziela-Olech et al. [25] didn’t prove any relation between MMP-9 level and age in his study, to the contrary, Bonnema et al. found that MMP-2 and age were related positively whereas a negative relation exists between MMP-9 and age37.Our study also revealed a negative correlation between MMP-2, MMP-9, TNF-α level and IQ.

Kudo et al. investigated the relation between MMP‐9 and cognitive function and found significant negative relation between MMP‐9 levels and verbal, performance and total IQ38. Also, Jung et al. investigated the relation between intelligence and cytokines and found a negative association between TNF-α and vocabulary and full-scale scores39.

A correlation was found between MMP-2, MMP-9 levels and cognitive problems.MMPs have been shown to have a vital role in various pathological as well as physiological processes in the brain particularly those influencing memory and the process of learning. MMP-9 was found to be necessary for hippocampus-dependent learning, as well as amygdala-dependent positive conditioning, interestingly, in human cognition 40.

Also, our study revealed a correlation between TNF-α and inattention, Hyperactivity/impulsivity.

Recent studies shows the role of TNF-α on the functions of the brain.It was found that the A allele of TNF-α affects cognitive functions 41. Also, TNF-α have a role in neurodegeneration, high TNF-α is associated with cognitive decline 42.

Moreover, kim et al. found that TNF-α had strong correlation with frontal theta activity reflecting the presence of frontal dysfunction which is related to the impulsive behavior29. Also, a recent study was held by Gassen et al. they  figured out  a correlation between  difficulties in making decision as a result of impulsivity and immediate gratification and the release of cytokines including TNF-α. Their results point to the role of the immune system in impulsivity bringing new perspectives to future researchers43.

Conclusion

ADHDis a chronic disorder affecting the developmental process in children.Though, scientific studies have enormously increased, yet, the underlying mechanism of ADHD remains elusive. So far, our study illustrates the co-occurrence of inflammatory process and ADHD, but further studies on larger sample are needed to reach a more definitive conclusion.

Acknowledgement

The authors express their appreciation to all children and their parents sharing in the study.

Conflict of interests

The authors declare that they have no conflict of interests.

Funding Source

There is no source of funding for the research.

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Abbreviations

ADHD Attention Deficit Hyperactivity Disorder.

MMPs Metalloproteinases.

ECM extracellular matrix.

WISC Whechsler Intelligence Scale for children.

ELISA Enzyme-Linked Immunosorbent Assay.

SPSS Statistical Package of Social Science.

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