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Detection of Microbial 16S rRNA Gene in the Blood of Patients With Parkinson’s Disease

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Detection of Microbial 16S rRNA Gene in the Blood of Patients With Parkinson’s Disease
Published in
Frontiers in Aging Neuroscience, May 2018
DOI 10.3389/fnagi.2018.00156
Pubmed ID
Authors

Yiwei Qian, Xiaodong Yang, Shaoqing Xu, Chunyan Wu, Nan Qin, Sheng-Di Chen, Qin Xiao

Abstract

Emerging evidence suggests that the microbiota present in feces plays a role in Parkinson's disease (PD). However, the alterations of the microbiome in the blood of PD patients remain unknown. To test this hypothesis, we conducted this case-control study to explore the microbiota compositions in the blood of Chinese PD patients. Microbiota communities in the blood of 45 patients and their healthy spouses were investigated using high-throughput Illumina HiSeq sequencing targeting the V3-V4 region of 16S ribosomal RNA (rRNA) gene. The relationships between the microbiota in the blood and PD clinical characteristics were analyzed. No difference was detected in the structure and richness between PD patients and healthy controls. The following genera were enriched in the blood of PD patients: Isoptericola, Cloacibacterium, Enhydrobacter and Microbacterium; whereas genus Limnobacter was enriched in the healthy controls after adjusting for age, gender, body mass index (BMI) and constipation. Additionally, the findings regarding these genera were validated in another independent group of 58 PD patients and 57 healthy controls using real-time PCR targeting genus-specific 16S rRNA genes. Furthermore, not only the genera Cloacibacterium and Isoptericola (which were identified as enriched in PD patients) but also the genera Paludibacter and Saccharofermentans were positively associated with disease duration. Some specific genera in the blood were related to mood disorders. We believe this is the first report to provide direct evidence to support the hypothesis that the identified microbiota in the blood are associated with PD. Additionally, some microbiota in the blood are closely associated with the clinical characteristics of PD. Elucidating these differences in blood microbiomes will provide a foundation to improve our understanding of the role of microbiota in the pathogenesis of PD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 18%
Researcher 15 15%
Student > Bachelor 13 13%
Student > Master 10 10%
Student > Doctoral Student 4 4%
Other 6 6%
Unknown 35 35%
Readers by discipline Count As %
Medicine and Dentistry 15 15%
Biochemistry, Genetics and Molecular Biology 12 12%
Agricultural and Biological Sciences 12 12%
Neuroscience 12 12%
Psychology 3 3%
Other 6 6%
Unknown 41 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 09 June 2018.
All research outputs
#4,671,336
of 23,070,218 outputs
Outputs from Frontiers in Aging Neuroscience
#2,257
of 4,861 outputs
Outputs of similar age
#90,670
of 330,346 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#64
of 105 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,861 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 53% 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 330,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.