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Association of mannose-binding lectin gene polymorphisms with the development of pulmonary tuberculosis in China

Overview of attention for article published in BMC Infectious Diseases, March 2017
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Title
Association of mannose-binding lectin gene polymorphisms with the development of pulmonary tuberculosis in China
Published in
BMC Infectious Diseases, March 2017
DOI 10.1186/s12879-017-2310-3
Pubmed ID
Authors

Yan-Ling Guo, Yang Liu, Wu-Juan Ban, Qi Sun, Guang-Li Shi

Abstract

Mannose-binding lectin (MBL) is an important protein in the lectin pathway of the immune system. This study explores the association between MBL polymorphism and the susceptibility to tuberculosis (TB). The association between the MBL2 polymorphisms and serum MBL levels is also analyzed in the present study. A total of 112 inpatients with pulmonary TB and 120 healthy controls were recruited to participate in this case-control study. Polymerase Chain Reaction-Restriction Fragment Length Polymorphism(PCR-RFLP) technology was used to genotype MBL gene (variants in -221Y/X and exon l codons 54 A/B). Serum MBL level was assayed by human MBL ELISA kit. Demographic data and exposure information were also obtained from the study participants. Genotypes YA/YA of MBL gene were more prevalent in the healthy control group than in the TB patient (P =0.038, OR, 0.57; 95% CI, 0.34-0.97) and genotypes XA/XA were less frequent in the healthy control group (P =0.007, OR, 6.42; 95% CI, 1.39-29.67). The resistant diplotype was more frequently found in the younger patients and retreatment cases with TB in MBL gene sites -221Y/X or codon 54 A/B. X/Y and A/B polymorphisms were strong determinants of serum MBL levels. The polymorphisms of MBL gene may be associated with susceptibility to TB and the recurrence of TB. The YA/YA may be a protected diplotype against TB.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Other 3 10%
Lecturer > Senior Lecturer 3 10%
Researcher 3 10%
Student > Ph. D. Student 2 6%
Other 4 13%
Unknown 12 39%
Readers by discipline Count As %
Medicine and Dentistry 10 32%
Nursing and Health Professions 2 6%
Environmental Science 1 3%
Agricultural and Biological Sciences 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 6%
Unknown 14 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 March 2017.
All research outputs
#20,411,380
of 22,961,203 outputs
Outputs from BMC Infectious Diseases
#6,505
of 7,707 outputs
Outputs of similar age
#268,727
of 308,057 outputs
Outputs of similar age from BMC Infectious Diseases
#141
of 170 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,707 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.