Diagnostic and Severity-Tracking Biomarkers for Autism Spectrum Disorder.
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| Title: | Diagnostic and Severity-Tracking Biomarkers for Autism Spectrum Disorder. |
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| Authors: | Bjørklund G; Council for Nutritional and Environmental Medicine (CONEM), Toften 24, 8610, Mo i Rana, Norway. bjorklund@conem.org., Meguid NA; Research on Children with Special Needs Department, National Research Centre, Giza, Egypt.; CONEM Egypt Child Brain Research Group, National Research Center, Giza, Egypt., El-Ansary A; Central Laboratory, King Saud University, Riyadh, Saudi Arabia.; CONEM Saudi Autism Research Group, King Saud University, Riyadh, Saudi Arabia., El-Bana MA; CONEM Egypt Child Brain Research Group, National Research Center, Giza, Egypt.; Medical Biochemistry Department, National Research Centre, Giza, Egypt., Dadar M; Agricultural Research, Education and Extension Organization (AREEO), Razi Vaccine and Serum Research Institute, Karaj, Iran., Aaseth J; Faculty of Public Health, Inland Norway University of Applied Sciences, Elverum, Norway.; Department of Research, Innlandet Hospital Trust, Brumunddal, Norway., Hemimi M; Research on Children with Special Needs Department, National Research Centre, Giza, Egypt.; CONEM Egypt Child Brain Research Group, National Research Center, Giza, Egypt., Osredkar J; Institute of Clinical Chemistry and Biochemistry (KIKKB), Ljubljana University Medical Centre, Ljubljana, Slovenia., Chirumbolo S; Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.; CONEM Scientific Secretary, Verona, Italy. |
| Source: | Journal of molecular neuroscience : MN [J Mol Neurosci] 2018 Dec; Vol. 66 (4), pp. 492-511. Date of Electronic Publication: 2018 Oct 24. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Humana Press Country of Publication: United States NLM ID: 9002991 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1559-1166 (Electronic) Linking ISSN: 08958696 NLM ISO Abbreviation: J Mol Neurosci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1559-1166 |
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| DOI: | 10.1007/s12031-018-1192-1 |
