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Postinfectious Inflammation, Autoimmunity, and Obsessive-Compulsive Disorder: Sydenham Chorea, Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal Infection, and Pediatric…

Overview of attention for article published in Developmental Neuroscience, September 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 540)
  • High Attention Score compared to outputs of the same age (86th percentile)

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Title
Postinfectious Inflammation, Autoimmunity, and Obsessive-Compulsive Disorder: Sydenham Chorea, Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcal Infection, and Pediatric Acute-Onset Neuropsychiatric Disorder
Published in
Developmental Neuroscience, September 2023
DOI 10.1159/000534261
Pubmed ID
Authors

Allison Vreeland, Denise Calaprice, Noga Or-Geva, Richard E Frye, Dritan Agalliu, Herbert M Lachman, Christopher Pittenger, Stefano Pallanti, Kyle Williams, Meiqian Ma, Margo Thienemann, Antonella Gagliano, Elizabeth Mellins, Jennifer Frankovich

Abstract

Post-infectious neuroinflammation has been implicated in multiple models of acute onset obsessive-compulsive disorder (OCD) including Sydenham's chorea (SC), pediatric acute-onset neuropsychiatric syndrome (PANS), and pediatric autoimmune neuropsychiatric disorders associated with streptococcal infections (PANDAS). These conditions are associated with a range of autoantibodies which are thought to be triggered by an infections, most notably group A streptococci (GAS). Based on animal models using huma sera, these autoantibodies are thought to cross-react with neural antigens in the basal ganglia and modulate neuronal activity and behavior. As is true for many childhood neuroinflammatory diseases and rheumatological diseases, SC, PANS, and PANDAS lack clinically available, rigorous diagnostic biomarkers and randomized clinical trials. In this review article, we outline the accumulating evidence supporting the role neuroinflammation plays in these disorders. We describe work with animal models including patient-derived anti-neuronal autoantibodies, and we outline imaging studies that show alterations in the basal ganglia. In addition, we present research on metabolites, which are helpful in deciphering functional phenotypes, and on the implication of sleep in these disorders. Finally, we encourage future researchers to collaborate across medical specialties (e.g., pediatrics, psychiatry, rheumatology, immunology, and infectious disease) in order to further research on clinical syndromes presenting with neuropsychiatric manifestations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 14%
Other 3 14%
Student > Doctoral Student 1 5%
Student > Ph. D. Student 1 5%
Researcher 1 5%
Other 1 5%
Unknown 12 55%
Readers by discipline Count As %
Unspecified 3 14%
Medicine and Dentistry 3 14%
Neuroscience 2 9%
Psychology 1 5%
Chemistry 1 5%
Other 0 0%
Unknown 12 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 14 March 2024.
All research outputs
#2,891,193
of 26,127,783 outputs
Outputs from Developmental Neuroscience
#29
of 540 outputs
Outputs of similar age
#47,402
of 361,341 outputs
Outputs of similar age from Developmental Neuroscience
#2
of 4 outputs
Altmetric has tracked 26,127,783 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 540 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 94% 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 361,341 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.