Title |
What every psychiatrist should know about PANDAS: a review
|
---|---|
Published in |
Clinical Practice and Epidemiology in Mental Health, May 2008
|
DOI | 10.1186/1745-0179-4-13 |
Pubmed ID | |
Authors |
Germana Moretti, Massimo Pasquini, Gabriele Mandarelli, Lorenzo Tarsitani, Massimo Biondi |
Abstract |
The term Pediatric Autoimmune Neuropsychiatric Disorders Associated with Streptococcus infections (PANDAS) was coined by Swedo et al. in 1998 to describe a subset of childhood obsessive-compulsive disorders (OCD) and tic disorders triggered by group-A beta-hemolytic Streptococcus pyogenes infection. Like adult OCD, PANDAS is associated with basal ganglia dysfunction. Other putative pathogenetic mechanisms of PANDAS include molecular mimicry and autoimmune-mediated altered neuronal signaling, involving calcium-calmodulin dependent protein (CaM) kinase II activity. Nonetheless the contrasting results from numerous studies provide no consensus on whether PANDAS should be considered as a specific nosological entity or simply a useful research framework. Herein we discuss available data that could provide insight into pathophysiology of adult OCD, or might explain cases of treatment-resistance. We also review the latest research findings on diagnostic and treatment. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 3% |
Germany | 1 | 1% |
United Kingdom | 1 | 1% |
Taiwan | 1 | 1% |
United States | 1 | 1% |
Unknown | 62 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 16% |
Student > Master | 10 | 15% |
Researcher | 8 | 12% |
Student > Bachelor | 7 | 10% |
Other | 6 | 9% |
Other | 14 | 21% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 34% |
Psychology | 11 | 16% |
Neuroscience | 6 | 9% |
Agricultural and Biological Sciences | 5 | 7% |
Immunology and Microbiology | 2 | 3% |
Other | 7 | 10% |
Unknown | 14 | 21% |