ArticlePloS one2015
Genetic Identification Is Critical for the Diagnosis of Parkinsonism: A Chinese Pedigree with Early Onset of Parkinsonism.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
The Chinese Early-onset Parkinson's Disease Registry
The Chinese Familial Parkinson's Disease Registry
Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- Loss-of-Function Variant in the SMPD1 Gene in Progressive Supranuclear Palsy-Richardson Syndrome Patients of Chinese Ancestry.Journal of movement disorders · 2024Article
- The genetic spectrum of a cohort of patients clinically diagnosed as Parkinson's disease in mainland China.NPJ Parkinson's disease · 2023Article
- Clinical and genetic analysis of Vietnamese patients diagnosed with early-onset Parkinson's disease.Brain and behavior · 2023Article
- Molecular imaging biomarkers in familial frontotemporal lobar degeneration: Progress and prospects.Frontiers in neurology · 2022Review
- Clinical Features and Correlates of Excessive Daytime Sleepiness in Parkinson's Disease.Frontiers in neurology · 2019Article
- The role ofNeuropsychiatric disease and treatment · 2018Article
- Genetic Impact on Clinical Features in Parkinson's Disease: A Study onParkinson's disease · 2018Article
- Recent Advances in Biomarkers for Parkinson's Disease.Frontiers in aging neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA number of hereditary neurological diseases display indistinguishable features at the early disease stage. Parkinsonian symptoms can be found in numerous diseases, making it difficult to get a definitive early diagnosis of primary causes for patients with onset of parkinsonism. The accurate and early diagnosis of the causes of parkinsonian patients is important for effective treatments of these patients.
methodsWe have identified a Chinese family (82 family members over four generations with 21 affected individuals) that manifested the characterized symptoms of parkinsonism and was initially diagnosed as Parkinson's disease. We followed up with the family for two years, during which we carried out clinical observations, Positron Emission Tomography-Computed Tomography neuroimaging analysis, and exome sequencing to correctly diagnose the case.
resultsDuring the two-year follow-up period, we performed comprehensive medical history collection, physical examination, and structural and functional neuroimaging studies of this Chinese family. We found that the patient exhibited progressive deteriorated parkinsonism with Parkinson disease-like neuropathology and also had a good response to the initial levodopa treatment. However, exome sequencing identified a missense mutation, N279K, in exon 10 of MAPT gene, verifying that the early parkinsonian symptoms in this family are caused by the genetic mutation for hereditary frontotemporal lobar dementia.
conclusionsFor the inherited parkinsonian patients who even show the neuropathology similar to that in Parkinson's disease and have initial response to levodopa treatment, genetic identification of the molecular basis for the disease is still required for defining the early diagnosis and correct treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.