Possibilities’ analysis of modern methods in diagnostics of autism spectrum disorders

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Abstract

Various approaches to diagnostics of autism spectrum disorders, based on identification of genetic, morphological, metabolic biomarkers, and also registration of peculiar features of character by means of scales and questionnaires have been analyzed.

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About the authors

Yulia A. Pichugina

V.F. Vojno-Jasenetsky State Medical University

Author for correspondence.
Email: kafedra_pn@mail.ru

Department of Psychiatry and Narcology

Russian Federation, 660022, Кrasnoyarsk, Partisan Zheleznyak st., 1

Yuri U. Arapiev

V.F. Vojno-Jasenetsky State Medical University

Email: kafedra_pn@mail.ru

Department of Psychiatry and Narcology

Russian Federation, 660022, Кrasnoyarsk, Partisan Zheleznyak st., 1

Olga L. Lopatina

V.F. Vojno-Jasenetsky State Medical University

Email: kafedra_pn@mail.ru

Department of Biological Chemistry with a course of medical, pharmaceutical and toxicological chemistry, Institute Molecular Medicine and Pathological Biochemistry

Russian Federation, 660022, Кrasnoyarsk, Partisan Zheleznyak st., 1

Alla B. Salmina

V.F. Vojno-Jasenetsky State Medical University

Email: kafedra_pn@mail.ru

Department of Biological Chemistry with a course of medical, pharmaceutical and toxicological chemistry, Institute Molecular Medicine and Pathological Biochemistry

Russian Federation, 660022, Кrasnoyarsk, Partisan Zheleznyak st., 1

Harukhiro Higashida

Research laboratory of the Center of children studying development of University Kanazawa

Email: kafedra_pn@mail.ru
Japan, Kanazawa

References

  1. Батышева Т.Т. и др. Скрининговые методы раннего выявления расстройств аутистического спектра // Детская и подростковая реабилитация. 2016. Т. 3. № 28. С. 34–36.
  2. Bаранкова Л.В., Семин И.Р. Диагностика аутисти-ческих расстройств у детей разного возраста. Томск, 2004. 27 с.
  3. Менделевич В.Д. «Система дел» и проблема «удерживания нуля» математика Артема: шизофрения или синдром Аспергера? // Неврологический вестник. 2017. № 2. С. 95–104.
  4. Моргун А.В., Таранушенко Т.Е., Окунева О.С. Маркеры апоптоза и нейроспецифические белки в диагностике перинатальных поражений центральной нервной системы у новорожденных детей // Сибирское медицинское обозрение. 2013. № 3 (81). С. 3.
  5. Попов Ю.В., Вид В.Д. Клиническая психиатрия. Санкт-Петербург , 1996. 422 с.
  6. Портнова А.А. Психические нарушения у детей и подростков при чрезвычайных ситуациях: автореф. дис. … д-ра мед. наук. М., 2007.
  7. Тиганов А.С. Патология психического развития. Глава 10. Аутизм и детская шизофрения, 2017. С. 15.
  8. Abrahams B.S., Geschwind D.H. Advances in autism genetics: on the threshold of a new neurobiology // Nat. Rev. Genet. 2008. Vol. 9. № 5. P. 341–355.
  9. Baduel S. et al. The French Version of the Modified-Checklist for Autism in Toddlers (M-CHAT): A Validation Study on a French Sample of 24 Month-Old Children // J. Autism Dev. Disord. 2017. Vol. 47, № 2. P. 297–304.
  10. Belmonte M.K. et al. Autism and abnormal development of brain connectivity // Mol. Psychiatry. 2004. Vol. 9, № 7. P. 646–663.
  11. Bhandary S., Hari N. Salivary biomarker levels and oral health status of children with autistic spectrum disorders: a comparative study // Eur. J. Paediatr. Dent. 2017. Vol. 18, № 2. P. 91–96.
  12. Blatt G.J. et al. Density and distribution of hippocampal neurotransmitter receptors in autism: an autoradiographic study // J. Autism Dev. Disord. 2001. Vol. 31, № 6. P. 537–543.
  13. Brennan L. et al. Use of the Modified Checklist for Autism, Revised with Follow Up-Albanian to Screen for ASD in Albania // J. Autism Dev. Disord. 2016. Vol. 46, № 11. P. 3392–3407.
  14. Bryn V. et al. Cytokine Profile in Autism Spectrum Disorders in Children // J. Mol. Neurosci. 2017. Vol. 61, № 1. P. 1–7.
  15. Carrington S. et al. Signposting for diagnosis of Autism Spectrum Disorder using the Diagnostic Interview for Social and Communication Disorders (DISCO) // Res. Autism Spectr. Disord. 2015. Vol. 9. P. 45–52.
  16. Carter C.S. et al. Oxytocin: behavioral associations and potential as a salivary biomarker // Ann. N. Y. Acad. Sci. 2007. Vol. 1098. P. 312–322.
  17. Chan W. et al. Validating the social responsiveness scale for adults with autism // Autism Res. 2017. Vol. 10 (10). P. 1663--1671.
  18. Cheng L. et al. Association Study between BDNF Gene Polymorphisms and Autism by Three-Dimensional Gel-Based Microarray // Int. J. Mol. Sci. 2009. Vol. 10, № 6. P. 2487–2500.
  19. Cheng Y. et al. The Engrailed homeobox genes determine the different foliation patterns in the vermis and hemispheres of the mammalian cerebellum // Development. 2010. Vol. 137, № 3. P. 519–529.
  20. Chung K.-M., Park S. Validity and reliability of the Korean Version of Autism Spectrum Disorders-Diagnostic for Children (ASD-DC) // Res. Autism Spectr. Disord. 2013. Vol. 7, № 12. P. 1518–1527.
  21. Correia C.T. et al. Increased BDNF levels and NTRK2 gene association suggest a disruption of BDNF/TrkB signaling in autism // Genes Brain Behav. 2010. Vol. 9, № 7. P. 841–848.
  22. Duda M. et al. Crowdsourced validation of a machine-learning classification system for autism and ADHD // Transl. Psychiatry. 2017. Vol. 7, № 5. P. e1133.
  23. Ehlers S., Gillberg C., Wing L. A Screening Ques-tionnarie for Asperger Syndrome and Other High-Functioning Autism Spectrum Disorders in School Age Children // J. Autism Dev. Disord. 1999. Vol. 29, № 2. P. 129–141.
  24. Feldman R. et al. Parent-child interaction and oxytocin production in pre-schoolers with autism spectrum disorder // Br. J. Psychiatry. 2014. Vol. 205, № 2. P. 107–112.
  25. Ferguson J.N. et al. Oxytocin in the medial amygdala is essential for social recognition in the mouse // J. Neurosci. 2001. Vol. 21, № 20. P. 8278–8285.
  26. Fernandez B.A. et al.. Phenotypic spectrum associated with de novo and inherited deletions and duplications at 16p11.2 in individuals ascertained for diagnosis of autism spectrum disorder // J. Med. Genet. 2010. Vol. 47, № 3. P. 195–203.
  27. Freitag C.M. et al. Genetics of autistic disorders: review and clinical implications // Eur. Child Adolesc. Psychiatry. 2010. Vol. 19, № 3. P. 169–178.
  28. Gregory S.G. et al. Genomic and epigenetic evidence for oxytocin receptor deficiency in autism // Bmc Med. 2009. Vol. 7. P. 62.
  29. Guilmatre A. et al.. Recurrent rearrangements in synaptic and neurodevelopmental genes and shared biologic pathways in schizophrenia, autism, and mental retardation // Arch. Gen. Psychiatry. 2009. Vol. 66, № 9. P. 947–956.
  30. Hartley S.L. et al. The Oral and Written Language Scales: Is it useful for older children with autism spectrum disorder? // Res. Autism Spectr. Disord. 2008. Vol. 2, № 1. P. 137–146.
  31. Hicks S.D. et al. Salivary miRNA profiles identify children with autism spectrum disorder, correlate with adaptive behavior, and implicate ASD candidate genes involved in neurodevelopment // BMC Pediatr. 2016. Vol. 16, № 52.
  32. Hoge E.A. et al. Oxytocin levels in social anxiety disorder // CNS Neurosci. Ther. 2008. Vol. 14, № 3. P. 165–170.
  33. Honea R.A. et al. Characterizing the Role of Brain Derived Neurotrophic Factor Genetic Variation in Alzheimer’s Disease Neurodegeneration // Plos One. 2013. Vol. 8, № 9. P. e76001.
  34. Horvath K. et al. Gastrointestinal abnormalities in children with autistic disorder // J Pediatr. 1999. Vol. 135, № 5. P. 559–563.
  35. Horvath K., Perman J.A. Autistic disorder and gastrointestinal disease // Curr. Opin. Pediatr. 2002. Vol. 14, № 583–587.
  36. Howells D.W. et al. Reduced BDNF mRNA expression in the Parkinson’s disease substantia nigra // Exp. Neurol. 2000. Vol. 166, № 1. P. 127–135.
  37. Iberri-Shea G. Adaptation and assessment of a public speaking rating scale // Cogent Educ. 2017. Vol. 4, № 1. P. 1287390.
  38. Jin D. et al. СD38 is critical for social behavior by regulating oxytocin secretion // Nature. 2007. Vol. 446. P. 41–45.
  39. Kawabe K. et al. Developmental quotient to estimate intelligence in autism spectrum disorder // Pediatr. Int. 2016. Vol. 58, № 10. P. 963–966.
  40. Kim S.H. et al. Predictive Validity of the Modified Checklist for Autism in Toddlers (M-CHAT) Born Very Pre- term // J. Pediatr. 2016. Vol. 178. P. 101–107.
  41. Kitazoe N. et al. The Autism-Spectrum Quotient in university students: Pattern of changes in its scores and associated factors // Asia-Pac. Psychiatry. 2015. Vol. 7, № 1. P. 105–112.
  42. Korvatska E., Van de Water J., Anders T.F., Gershwin M.E. Genetic and immunologic considerations in autism // Neurobiol Dis. 2002. Vol. 9. P. 107–125.
  43. Krakowiak P. et al. Neonatal Cytokine Profiles Associated With Autism Spectrum Disorder // Biol. Psychiatry. 2017. Vol. 81, № 5. P. 442–451.
  44. Lee H.-J. et al. Oxytocin: The great facilitator of life // Prog. Neurobiol. 2009. Vol. 88, № 2. P. 127–151.
  45. Lerer E. et al. Association between the oxytocin receptor (OXTR) gene and autism: relationship to Vineland Adaptive Behavior Scales and cognition // Mol. Psychiatry. 2008. Vol. 13, № 10. P. 980–988.
  46. Maljaars J. et al. Evaluation of the criterion and convergent validity of the Diagnostic Interview for Social and Communication Disorders in young and low-functioning children // Autism. 2012. Vol. 16, № 5. P. 487–497.
  47. Masi A. et al. Cytokine aberrations in autism spectrum disorder: a systematic review and meta-analysis // Mol. Psychiatry. 2015. Vol. 20, № 4. P. 440–446.
  48. Matson J.L. et al. Reliability of the Autism Spectrum Disorder-Diagnostic For Children (ASD-DC) // Res. Autism Spectr. Disord. 2008. Vol. 2, № 3. P. 533–545.
  49. Matson J.L. et al. Validity of the Autism Spectrum Disorder-Comorbid for Children (ASD-CC) // Res. Autism Spectr. Disord. 2009. Vol. 3, № 2. P. 345–357.
  50. Matson J.L. et al. Convergent validity of the Autism Spectrum Disorder-Diagnostic for Children (ASD-DC) and Childhood Autism Rating Scales (CARS) // Res. Autism Spectr. Disord. 2010a. Vol. 4, № 4. P. 633–638.
  51. Matson J.L. et al. Convergent validity of the Autism Spectrum Disorder-Diagnostic for Children (ASD-DC) and Autism Diagnostic Interview-Revised (ADI-R) // Res. Autism Spectr. Disord. 2010b. Vol. 4, № 4. P. 741–745.
  52. Matson J.L., Gonzalez M., Wilkins J. Validity study of the Autism Spectrum Disorders-Diagnostic for Children (ASD-DC) // Res. Autism Spectr. Disord. 2009. Vol. 3, № 1. P. 196–206.
  53. Matuszek G., Talebizadeh Z. Autism genetic database (AGD): a comprehensive database including autism susceptibility gene-CNVs integrated with known noncoding RNAs and fragile sites // Bmc Med. Genet. 2009. Vol. 10. P. 102.
  54. Meer J.M.J. van der et al. Homogeneous Combinations of ASD–ADHD Traits and Their Cognitive and Behavioral Correlates in a Population-Based Sample // J. Atten. Disord. 2017. Vol. 21, № 9. P. 753–763.
  55. Modahl C. et al. Plasma oxytocin levels in autistic children // Biol. Psychiatry. 1998. Vol. 43, № 4. P. 270–277.
  56. Mukaddes N.M. et al. What happens to children who move off the autism spectrum? Clinical follow-up study // Pediatr. Int. 2017. Vol. 59, № 4. P. 416–421.
  57. Naerland T. et al. Age and gender-related differences in emotional and behavioural problems and autistic features in children and adolescents with Down syndrome: a survey-based study of 674 individuals // J. Intellect. Disabil. Res. 2017. Vol. 61, № 6. P. 594–603.
  58. Nishimura K. et al. Genetic analyses of the brain-derived neurotrophic factor (BDNF) gene in autism // Biochem. Biophys. Res. Commun. 2007. Vol. 356, № 1. P. 200–206.
  59. Nygren G. et al. The Swedish Version of the Diagnostic Interview for Social and Communication Disorders (DISCO-10). Psychometric Properties // J. Autism Dev. Disord. 2009. Vol. 39, № 5. P. 730–741.
  60. Padden C., James J.E. Stress among Parents of Children with and without Autism Spectrum Disorder: A Comparison Involving Physiological Indicators and Parent Self-Reports // J. Dev. Phys. Disabil. 2017. Vol. 29, № 4. P. 567–586.
  61. Polleux F., Lauder J. M. Toward a developmental neurobiology of autism // Ment. Retard. Dev. Disabil. Res. Rev. 2004. Vol. 10. P. 303–317.
  62. Ratajczak H.V. Theoretical aspects of autism: biomarkers—a review // J. Immunotoxicol. 2011. Vol. 8, № 1. P. 80–94.
  63. Reichardt L.F. Neurotrophin-regulated signalling pathways // Philos. Trans. R. Soc. Lond. B. Biol. Sci. 2006. Vol. 361, № 1473. P. 1545–1564.
  64. Sappok T. et al. Validity of the Social Communication Questionnaire in Adults With Intellectual Disabilities and Suspected Autism Spectrum Disorder // Ajidd-Am. J. Intellect. Dev. Disabil. 2015. Vol. 120, № 3. P. 203–214.
  65. Schopler E. et al. Toward objective classification of childhood autism: Childhood Autism Rating Scale (CARS) // J. Autism Dev. Disord. 1980. Vol. 10, № 1. P. 91–103.
  66. Schutte J.L. et al. Usability and Reliability of a Remotely Administered Adult Autism Assessment, the Autism Diagnostic Observation Schedule (ADOS) Module 4 // Telemed. E-Health. 2015. Vol. 21, № 3. P. 176–184.
  67. Shattock P., Whiteley P. Biochemical aspects in autism spectrum disorders: updating the opioid-excess theory and presenting new opportunities for biomedical intervention // Expert Opin. Ther. Targets. 2002. Vol. 6, № 2. P. 175–183.
  68. Skvortsov I.A., Bashina V.M., Nefedova I.V. Therapy of atypic autism in Martin-Bell’s syndrome // Zh. Nevropatol. Psikhiatr. Im. S.S. Korsakova. 1998. Vol. 98, № 10. P. 17–21.
  69. Srisinghasongkram P., Pruksananonda C., Chonchaiya W. Two-Step Screening of the Modified Checklist for Autism in Toddlers in Thai Children with Language Delay and Typically Developing Children // J. Autism Dev. Disord. 2016. Vol. 46, № 10. P. 3317–3329.
  70. Thorson R.T., Matson J.L. Cutoff scores for the Autism Spectrum Disorder – Comorbid for Children (ASD-CC) // Res. Autism Spectr. Disord. Vol. 6. P. 556–559.
  71. Torras-Mañá M. et al. Assessment of cognition and language in the early diagnosis of autism spectrum disorder: usefulness of the Bayley Scales of infant and toddler development, third edition // J. Intellect. Disabil. Res. 2016. Vol. 60, № 5. P. 502–511.
  72. Tsuji S. et al. Salivary oxytocin concentrations in seven boys with autism spectrum disorder received massage from their mothers: a pilot study // Front Psychiatry. 2015. Vol. 6. P. 58.
  73. Tyler W.J. et al. From acquisition to consolidation: On the role of brain-derived neurotrophic factor signaling in hippocampal-dependent learning // Learn. Mem. 2002. Vol. 9, № 5. P. 224–237.
  74. Zander E. et al. The objectivity of the Autism Diagnostic Observation Schedule (ADOS) in naturalistic clinical settings // Eur. Child Adolesc. Psychiatry. 2016. Vol. 25, № 7. P. 769–780.
  75. Zarokanellou V. et al. Brief report: A pilot study of the validity and reliability of the Greek version of the Social Communication Questionnaire // Res. Autism Spectr. Disord. 2017. Vol. 38. P. 1–5.
  76. Zhang H.-F. et al. Plasma Oxytocin and Arginine-Vasopressin Levels in Children with Autism Spectrum Disorder in China: Associations with Symptoms // Neurosci. Bull. 2016. Vol. 32, № 5. P. 423–432.

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