Cited by 86Autism Spectrum Disorder ResearchAdvanced Glycation End Products researchChild Nutrition and Feeding Issues

Advanced glycation endproducts, dityrosine and arginine transporter dysfunction in autism - a source of biomarkers for clinical diagnosis

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Anwar, Attia, Abruzzo, Provvidenza Maria, Pasha, Sabah, Rajpoot, Kashif, Bolotta, Alessandra, Ghezzo, Alessandro, Marini, Marina, Posar, Annio +3 more·2018·Molecular Autism

Abstract

Background: Clinical chemistry tests for autism spectrum disorder (ASD) are currently unavailable. The aim of this study was to explore the diagnostic utility of proteotoxic biomarkers in plasma and urine, plasma protein glycation, oxidation, and nitration adducts, and related glycated, oxidized, and nitrated amino acids (free adducts), for the clinical diagnosis of ASD. Methods: Thirty-eight children with ASD (29 male, 9 female; age 7.6 ± 2.0 years) and 31 age-matched healthy controls (23 males, 8 females; 8.6 ± 2.0 years) were recruited for this study. Plasma protein glycation, oxidation, and nitration adducts and amino acid metabolome in plasma and urine were determined by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry. Machine learning methods were then employed to explore and optimize combinations of analyte data for ASD diagnosis. Results: -carboxymethylarginine (CMA), and increased oxidation damage marker, dityrosine (DT), in plasma protein, with respect to healthy controls. We also found that children with ASD had increased CMA free adduct in plasma ultrafiltrate and increased urinary excretion of oxidation free adducts, alpha-aminoadipic semialdehyde and glutamic semialdehyde. From study of renal handling of amino acids, we found that children with ASD had decreased renal clearance of arginine and CMA with respect to healthy controls. Algorithms to discriminate between ASD and healthy controls gave strong diagnostic performance with features: plasma protein AGEs-CML, CMA-and 3-deoxyglucosone-derived hydroimidazolone, and oxidative damage marker, DT. The sensitivity, specificity, and receiver operating characteristic area-under-the-curve were 92%, 84%, and 0.94, respectively. Conclusions: Changes in plasma AGEs were likely indicative of dysfunctional metabolism of dicarbonyl metabolite precursors of AGEs, glyoxal and 3-deoxyglucosone. DT is formed enzymatically by dual oxidase (DUOX); selective increase of DT as an oxidative damage marker implicates increased DUOX activity in ASD possibly linked to impaired gut mucosal immunity. Decreased renal clearance of arginine and CMA in ASD is indicative of increased arginine transporter activity which may be a surrogate marker of disturbance of neuronal availability of amino acids. Data driven combination of these biomarkers perturbed by proteotoxic stress, plasma protein AGEs and DT, gave diagnostic algorithms of high sensitivity and specificity for ASD.

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  • Plasma CML levels were increased in children with autism spectrum disorders (n = 38) compared with healthy children (n = 31), measured by LC-MS/MS.

    “| Autism spectrum disorders | Plasma | Healthy children (n = 31) vs. children with autism spectrum disorders (n = 38) | LC-MS/MS | Increased plasma CML levels in children with autism spectrum disorders | [143] |”

    From Protein oxidation - Formation mechanisms, detection and relevance as biomarkers in human diseases (2021) · cites this paper as [143]

    The Results report increased CML in plasma protein from children with ASD, and the Methods say plasma-protein adducts were measured by LC-MS/MS. Although the Subject recruitment section lists 38 children with ASD and 31 typically developing children, Results Table 2 gives 27 and 21, respectively, for the plasma-protein measurements. The cited row therefore uses the recruitment totals rather than the numbers underlying the reported CML increase. (LLM, conf=0.90)

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Research works printed but not linked: 45

  1. [2]Walsh P Elsabbagh M Bolton P Singh I In search of biomarkers for autism: scientific, social and ethical challenges Nat Rev Neurosci 2011 12 10 603 612 10.1038/nrn3113 21931335 · DOI · Paper page
  2. [3]Abruzzo PM Ghezzo A Bolotta A Ferreri C Minguzzi R Vignini A Visconti P Marini M Perspective biological markers for autism spectrum disorders: advantages of the use of receiver operating characteristic curves in evaluating marker sensitivity and specificity Dis Markers 2015 2015 329607 10.1155/2015/329607 26648598 PMC4655021 · DOI
  3. [4]Loke YJ Hannan AJ Craig JM The role of epigenetic change in autism spectrum disorders Front Neurol 2015 6 18 10.3389/fneur.2015.00107 26074864 PMC4443738 · DOI
  4. [5]Scherer SW Dawson G Risk factors for autism: translating genomic discoveries into diagnostics Hum Genet 2011 130 1 123 148 10.1007/s00439-011-1037-2 21701786 · DOI
  5. [6]Momeni N Bergquist J Brudin L Behnia F Sivberg B Joghataei MT Persson BL A novel blood-based biomarker for detection of autism spectrum disorders Transl Psychiatry 2012 2 3 e91 10.1038/tp.2012.19 22832856 PMC3309533 · DOI
  6. [7]Diémé B Mavel S Blasco H Tripi G Bonnet-Brilhault F Malvy J Bocca C Andres CR Nadal-Desbarats L Emond P Metabolomics study of urine in autism spectrum disorders using a multiplatform analytical methodology J Proteome Res 2015 14 12 5273 5282 10.1021/acs.jproteome.5b00699 26538324 · DOI · Paper page
  7. [8]Louros SR Osterweil EK Perturbed proteostasis in autism spectrum disorders J Neurochem 2016 139 6 1081 1092 10.1111/jnc.13723 27365114 PMC5215415 · DOI
  8. [9]Thornalley PJ Rabbani N Detection of oxidized and glycated proteins in clinical samples using mass spectrometry—a user’s perspective Biochim Biophys Acta 2014 1840 2 818 829 10.1016/j.bbagen.2013.03.025 23558060 · DOI · Paper page
  9. [10]Melnyk S Fuchs GJ Schulz E Lopez M Kahler SG Fussell JJ Bellando J Pavliv O Rose S Seidel L Metabolic imbalance associated with methylation dysregulation and oxidative damage in children with autism J Autism Dev Disord 2012 42 3 367 377 10.1007/s10803-011-1260-7 21519954 PMC3342663 · DOI · Paper page
  10. [11]Frye RE DeLaTorre R Taylor H Slattery J Melnyk S Chowdhury N James SJ Redox metabolism abnormalities in autistic children associated with mitochondrial disease Transl Psychiatry 2013 3 e273 10.1038/tp.2013.51 23778583 PMC3693408 · DOI
  11. [12]Howsmon DP Kruger U Melnyk S James SJ Hahn J Classification and adaptive behavior prediction of children with autism spectrum disorder based upon multivariate data analysis of markers of oxidative stress and DNA methylation PLoS Comput Biol 2017 13 3 e1005385 10.1371/journal.pcbi.1005385 28301476 PMC5354243 · DOI
  12. [13]Hetz C Chevet E Oakes SA Proteostasis control by the unfolded protein response Nat Cell Biol 2015 17 7 829 838 10.1038/ncb3184 26123108 PMC5546321 · DOI
  13. [14]Janssens S Pulendran B Lambrecht BN Emerging functions of the unfolded protein response in immunity Nat Immunol 2014 15 10 910 919 10.1038/ni.2991 25232821 PMC4388558 · DOI
  14. [15]Nava C Rupp J Boissel J-P Mignot C Rastetter A Amiet C Jacquette A Dupuits C Bouteiller D Keren B Hypomorphic variants of cationic amino acid transporter 3 in males with autism spectrum disorders Amino Acids 2015 47 12 2647 2658 10.1007/s00726-015-2057-3 26215737 PMC4633447 · DOI
  15. [16]Bala KA Dogan M Mutluer T Kaba S Aslan O Balahoroglu R Cokluk E Ustyol L Kocaman S Plasma amino acid profile in autism spectrum disorder (ASD) European Review for Medical and Pharmacological Sciences 2016 20 5 923 929 27010152
  16. [21]Keys A Epidemiological studies related to coronary heart disease: characteristics of men aged 40–59 in seven countries Acta Medica Scandinavica 1966 180 4 5 10.1111/j.0954-6820.1966.tb04737.x 5226858 · DOI
  17. [22]Rabbani N Shaheen F Anwar A Masania J Thornalley PJ Assay of methylglyoxal-derived protein and nucleotide AGEs Biochem Soc Trans 2014 42 2 511 517 10.1042/BST20140019 24646270 · DOI
  18. [23]Ahmed U Anwar A Savage RS Costa ML Mackay N Filer A Raza K Watts RA Winyard PG Tarr J Biomarkers of early stage osteoarthritis, rheumatoid arthritis and musculoskeletal health Sci Rep 2015 5 9259 10.1038/srep09259 25788417 PMC4365413 · DOI
  19. [24]Ahmed U Anwar A Savage RS Thornalley PJ Rabbani N Protein oxidation, nitration and glycation biomarkers for early-stage diagnosis of osteoarthritis of the knee and typing and progression of arthritic disease Arthritis Res Ther 2016 18 1 250 10.1186/s13075-016-1154-3 27788684 PMC5081671 · DOI
  20. [25]Ahmed U Anwar A Savage RS Costa ML Mackay N Filer A Raza K Watts RA Winyard PG Tarr J Biomarkers of early stage osteoarthritis, rheumatoid arthritis and musculoskeletal health Sci Rep 2015 5 9259 9251 9257 25788417 PMC4365413
  21. [26]Breiman L Random forests Mach Learn 2001 45 1 5 32 10.1023/A:1010933404324 · DOI · Paper page
  22. [27]Friedman J Hastie T Tibshirani R Regularization paths for generalized linear models via coordinate descent J Statistical Software 2010 33 1 1 22 10.18637/jss.v033.i01 PMC2929880 20808728 · DOI · Paper page
  23. [28]Sajda P Machine learning for detection and diagnosis of disease Annu Rev Biomed Eng 2006 8 1 537 565 10.1146/annurev.bioeng.8.061505.095802 16834566 · DOI
  24. [29]Rhemtulla M Brosseau-Liard PE Savalei V When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions Psychol Methods 2012 17 3 354 373 10.1037/a0029315 22799625 · DOI · Paper page
  25. [30]Xue M Weickert MO Qureshi S Ngianga-Bakwin K Anwar A Waldron M Shafie A Messenger D Fowler M Jenkins G Improved glycemic control and vascular function in overweight and obese subjects by glyoxalase 1 inducer formulation Diabetes 2016 65 8 2282 2294 10.2337/db16-0153 27207552 · DOI
  26. [31]Margarson MP Soni N Serum albumin: touchstone or totem? Anaesthesia 1998 53 8 789 803 10.1046/j.1365-2044.1998.00438.x 9797524 · DOI
  27. [32]Knecht KJ Dunn JA McFarland KF McCance DR Lyons TJ Thorpe SR Baynes JW Effect of diabetes and aging on carboxymethyllysine levels in human urine Diabetes 1991 40 2 190 196 10.2337/diab.40.2.190 1899406 · DOI
  28. [33]Chauhan A Chauhan V Brown WT Cohen I Oxidative stress in autism: increased lipid peroxidation and reduced serum levels of ceruloplasmin and transferrin-the antioxidant proteins Life Sci 2004 75 21 2539 2549 10.1016/j.lfs.2004.04.038 15363659 · DOI · Paper page
  29. [35]Ghezzo A Visconti P Abruzzo PM Bolotta A Ferreri C Gobbi G Malisardi G Manfredini S Marini M Nanetti L Oxidative stress and erythrocyte membrane alterations in children with autism: correlation with clinical features PLoS One 2013 8 6 14 10.1371/journal.pone.0066418 PMC3686873 23840462 · DOI · Paper page
  30. [36]Lévigne D Modarressi A Krause K-H Pittet-Cuénod B NADPH oxidase 4 deficiency leads to impaired wound repair and reduced dityrosine-crosslinking, but does not affect myofibroblast formation Free Radic Biol Med 2016 96 374 384 10.1016/j.freeradbiomed.2016.04.194 27140231 · DOI
  31. [37]Ha E-M Lee K-A Seo YY Kim S-H Lim J-H Oh B-H Kim J Lee W-J Coordination of multiple dual oxidase-regulatory pathways in responses to commensal and infectious microbes in drosophila gut Nat Immunol 2009 10 9 949 957 10.1038/ni.1765 19668222 · DOI
  32. [38]Bae YS Choi MK Lee W-J Dual oxidase in mucosal immunity and host-microbe homeostasis Trends Immunol 2010 31 7 278 287 10.1016/j.it.2010.05.003 20579935 · DOI
  33. [39]Chang S Linderholm A Franzi L Kenyon N Grasberger H Harper R Dual oxidase regulates neutrophil recruitment in allergic airways Free Radic Biol Med 2013 65 38 46 10.1016/j.freeradbiomed.2013.06.012 23770197 PMC3859817 · DOI
  34. [40]Mussap M Noto A Fanos V Metabolomics of autism spectrum disorders: early insights regarding mammalian-microbial cometabolites Expert Rev Mol Diagn 2016 16 8 869 881 10.1080/14737159.2016.1202765 27310602 · DOI
  35. [41]Delpierre G Rider MH Collard F Stroobant V Vanstapel F Santos H Van Schaftingen E Identification, cloning, and heterologous expression of a mammalian fructosamine-3-kinase Diabetes 2000 49 10 1627 1634 10.2337/diabetes.49.10.1627 11016445 · DOI
  36. [42]Lal S Randall WC Taylor AH Kappler F Walker M Brown TR Szwergold BS Fructose-3-phosphate production and polyol pathway metabolism in diabetic rat hearts Metabolism 1997 46 11 1333 1338 10.1016/S0026-0495(97)90240-7 9361695 · DOI
  37. [43]Thornalley PJ Langborg A Minhas HS Formation of glyoxal, methylglyoxal and 3-deoxyglucosone in the glycation of proteins by glucose BiochemJ 1999 344 1 109 116 10.1042/bj3440109 10548540 PMC1220620 · DOI
  38. [44]Baba SP Barski OA Ahmed Y O'Toole TE Conklin DJ Bhatnagar A Srivastava S Reductive metabolism of AGE precursors: a metabolic route for preventing AGE accumulation in cardiovascular tissue Diabetes 2009 58 11 2486 2497 10.2337/db09-0375 19651811 PMC2768164 · DOI
  39. [45]Ming X Stein TP Barnes V Rhodes N Guo L Metabolic perturbance in autism spectrum disorders: a metabolomics study J Proteome Res 2012 11 12 5856 5862 10.1021/pr300910n 23106572 · DOI · Paper page
  40. [46]West PR Amaral DG Bais P Smith AM Egnash LA Ross ME Palmer JA Fontaine BR Conard KR Corbett BA Metabolomics as a tool for discovery of biomarkers of autism spectrum disorder in the blood plasma of children PLoS One 2014 9 11 e112445 10.1371/journal.pone.0112445 25380056 PMC4224480 · DOI
  41. [47]Gevi F Zolla L Gabriele S Persico AM Urinary metabolomics of young Italian autistic children supports abnormal tryptophan and purine metabolism Molecular Autism 2016 7 1 47 10.1186/s13229-016-0109-5 27904735 PMC5121959 · DOI · Paper page
  42. [48]Kuwabara H Yamasue H Koike S Inoue H Kawakubo Y Kuroda M Takano Y Iwashiro N Natsubori T Aoki Y Altered metabolites in the plasma of autism spectrum disorder: a capillary electrophoresis time-of-flight mass spectroscopy study PLoS One 2013 8 9 e73814 10.1371/journal.pone.0073814 24058493 PMC3776798 · DOI
  43. [50]Schwartz GJ Work DF Measurement and estimation of GFR in children and adolescents Clin J Am Soc Nephrol 2009 4 11 1832 1843 10.2215/CJN.01640309 19820136 · DOI
  44. [51]Broer S Amino acid transport across mammalian intestinal and renal epithelia Physiol Rev 2008 88 1 249 286 10.1152/physrev.00018.2006 18195088 · DOI
  45. [52]Tărlungeanu DC Deliu E Dotter CP Kara M Janiesch PC Scalise M Galluccio M Tesulov M Morelli E Sonmez FM Impaired amino acid transport at the blood brain barrier is a cause of autism spectrum disorder Cell 2016 167 6 1481 1494 10.1016/j.cell.2016.11.013 27912058 PMC5554935 · DOI · Paper page

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Authors
Anwar, A., Abruzzo, P. M., Pasha, S., Rajpoot, K., Bolotta, A., Ghezzo, A., Marini, M., Posar, A., Visconti, P., Thornalley, P. J., & Rabbani, N.
Affiliations
  • University Hospital Coventry (GB)
  • Don Carlo Gnocchi Foundation (IT)
  • University of Birmingham (GB)
  • University of Bologna (IT)
  • Institute of Neurological Sciences (IT)
Corresponding author
Rabbani, Naila
Venue
Molecular Autism
Published
2018-02-19
Volume
9
Issue
1
Pages
3-3
ISSN
2040-2392 (ISSN-L)
OpenAlex
W2782785236
Cited by
86
References
3
Citations by year
2026: 6 · 2025: 13 · 2024: 5 · 2023: 5 · 2022: 7 · 2021: 13 · 2020: 12 · 2019: 14 · 2018: 11
FWCI
7.45
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Molecular Autism (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion, cc-by)
  • Warwick Research Archive Portal (University of Warwick) (submittedVersion)
Funders
  • Warwick Impact Fund award
  • Fondazione del Monte di Bologna e Ravenna,
  • Fondazione Nando Peretti
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
  • Health Sciences › Medicine › Psychiatry and Mental health › Child Nutrition and Feeding Issues
Keywords
autism spectrum disorder, advanced glycation end products, dityrosine, biomarkers, oxidative damage, alpha-aminoadipic semialdehyde, dual oxidase, 3-deoxyglucosone, glyoxal, amino acid metabolism
MeSH terms
Machine Learning, Arginine, Autistic Disorder, Child, Female, Humans, Lysine, Male, Sensitivity and Specificity, Tyrosine, Biomarkers, Glycation End Products, Advanced, Oxidative Stress, Amino Acid Transport Systems, Basic

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