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Mitochondrial DNA polymorphisms are associated with the longevity in the Guangxi Bama population of China

Overview of attention for article published in Molecular Biology Reports, June 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 2,873)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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1 blog
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1 Facebook page

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17 Mendeley
Title
Mitochondrial DNA polymorphisms are associated with the longevity in the Guangxi Bama population of China
Published in
Molecular Biology Reports, June 2012
DOI 10.1007/s11033-012-1784-8
Pubmed ID
Authors

Xiurong Yang, Xinping Wang, Huilu Yao, Jixian Deng, Qinyang Jiang, Yafen Guo, Ganqiu Lan, D. Joshua Liao, Hesheng Jiang

Abstract

Human longevity is an interesting and complicated subject, with many associated variations, geographic and genetic, including some known mitochondrial variations. The population of the Bama County of Guangxi Province of China is well known for its longevity and serves as a good model for studying a potential molecular mechanism. In this study, a full sequence analysis of mitochondrial DNA (mtDNA) has been done in ten Bama centenarians using direct sequencing. Polymorphisms of the displacement loop (D-loop) region of mtDNA and several serum parameters were analyzed for a total of 313 Bama individuals with ages between 10 and 110 years. The results showed that there were seven mitochondrial variations, A73G, A263G, A2076G, A8860G, G11719A, C14766T, and A15326G, and four haplogroups, M(*), F1, D* and D(4) in 10 Bama centenarians. In the D-loop region of mtDNA, the mt146T occurred at a significantly lower frequency in those is the older age group (90-110 years) than in the middle (80-89 years) and in the younger (10-79 years) groups (P < 0.05). The mt146T also had lower systolic blood pressure and serum markers such as total cholesterol, triglyceride and low density lipoprotein than did mt146C in the older age group (P < 0.05). No significant differences were observed between the mt146C and the mt146T individuals in the middle and the younger groups (P > 0.05). The mt5178C/A polymorphisms did not show any significant differences among the three age-groups (P > 0.05), but different nationalities in the Bama County did show a significant difference in the mt5178C/A polymorphisms (P < 0.05). These results suggest that the mt146T/C polymorphisms in Guangxi Bama individuals may partly account for the Bama longevity whereas the mt5178C/A polymorphisms are strongly associated with the nationalities in the Guangxi Bama population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 24%
Researcher 2 12%
Student > Doctoral Student 2 12%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 6 35%
Readers by discipline Count As %
Medicine and Dentistry 5 29%
Biochemistry, Genetics and Molecular Biology 3 18%
Environmental Science 1 6%
Agricultural and Biological Sciences 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 40. 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 15 April 2017.
All research outputs
#866,133
of 22,669,724 outputs
Outputs from Molecular Biology Reports
#13
of 2,873 outputs
Outputs of similar age
#4,829
of 164,528 outputs
Outputs of similar age from Molecular Biology Reports
#1
of 48 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,873 research outputs from this source. They receive a mean Attention Score of 2.2. 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 164,528 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 97% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.