↓ Skip to main content

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

Overview of attention for article published in Molecular Autism, February 2018
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 606)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
163 news outlets
blogs
9 blogs
twitter
118 tweeters
patent
1 patent
facebook
7 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
137 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advanced glycation endproducts, dityrosine and arginine transporter dysfunction in autism - a source of biomarkers for clinical diagnosis
Published in
Molecular Autism, February 2018
DOI 10.1186/s13229-017-0183-3
Pubmed ID
Authors

Attia Anwar, Provvidenza Maria Abruzzo, Sabah Pasha, Kashif Rajpoot, Alessandra Bolotta, Alessandro Ghezzo, Marina Marini, Annio Posar, Paola Visconti, Paul J. Thornalley, Naila Rabbani

Abstract

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. 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. We found that children with ASD had increased advanced glycation endproducts (AGEs),Nε-carboxymethyl-lysine (CML) andNω-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. 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.

Twitter Demographics

The data shown below were collected from the profiles of 118 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 137 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 27%
Student > Ph. D. Student 21 15%
Student > Master 15 11%
Student > Bachelor 14 10%
Other 11 8%
Other 26 19%
Unknown 13 9%
Readers by discipline Count As %
Medicine and Dentistry 21 15%
Psychology 18 13%
Biochemistry, Genetics and Molecular Biology 13 9%
Neuroscience 12 9%
Agricultural and Biological Sciences 10 7%
Other 41 30%
Unknown 22 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 1425. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2021.
All research outputs
#4,955
of 18,936,256 outputs
Outputs from Molecular Autism
#3
of 606 outputs
Outputs of similar age
#122
of 287,015 outputs
Outputs of similar age from Molecular Autism
#1
of 2 outputs
Altmetric has tracked 18,936,256 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,015 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them