| Title |
Identification of Mycobacterium tuberculosis Peptides in Serum Extracellular Vesicles from Persons with Latent Tuberculosis Infection
|
|---|---|
| Published in |
Journal of Clinical Microbiology, May 2020
|
| DOI | 10.1128/jcm.00393-20 |
| Pubmed ID | |
| Authors |
Carolina Mehaffy, Nicole A. Kruh-Garcia, Barbara Graham, Leah G. Jarlsberg, Charis E. Willyerd, Andrey Borisov, Timothy R. Sterling, Payam Nahid, Karen M. Dobos |
| Abstract |
Identification of biomarkers for latent Mycobacterium tuberculosis infection and risk of progression to tuberculosis (TB) disease are needed to better identify individuals to target for preventive therapy, predict disease risk, and potentially predict preventive therapy efficacy. Our group developed Multiple Reaction Monitoring Mass Spectrometry (MRM-MS) assays that detected M. tuberculosis (Mtb) peptides in serum extracellular vesicles from TB patients. We subsequently optimized this MRM-MS assay to selectively identify 40 M. tuberculosis peptides from 19 proteins that most commonly co-purify with serum vesicles of patients with TB. Here, we used this technology to evaluate if Mtb peptides can also be detected in individuals with latent TB infection (LTBI). Serum extracellular vesicles from 74 individuals presumed to have latent M. tuberculosis infection (LTBI) based on close contact with a household member with TB or a recent tuberculin skin test (TST) conversion were included in this study. Twenty-nine samples from individuals with no evidence of TB infection by TST and no known exposure to TB were used as controls to establish a threshold to account for non-specific/background signal. We identified at least one of the 40 M. tuberculosis peptides in 70 (95%) individuals with LTBI. A single peptide from the Glutamine synthetase (GlnA1) enzyme was identified in 61/74 (82%) individuals with LTBI, suggesting peptides from M. tuberculosis proteins involved in nitrogen metabolism as candidates for pathogen specific biomarkers for detection of LTBI. The detection of M. tuberculosis peptides in serum extracellular vesicles from persons with LTBI represents a potential advance in the diagnosis of LTBI. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 27% |
| Ireland | 1 | 7% |
| Ecuador | 1 | 7% |
| United Kingdom | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 47% |
| Scientists | 5 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 18% |
| Student > Ph. D. Student | 9 | 13% |
| Researcher | 6 | 8% |
| Professor | 3 | 4% |
| Lecturer | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 28 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Immunology and Microbiology | 9 | 13% |
| Medicine and Dentistry | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 6% |
| Nursing and Health Professions | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 30 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 June 2020.
All research outputs
#3,052,308
of 25,941,588 outputs
Outputs from Journal of Clinical Microbiology
#1,501
of 14,377 outputs
Outputs of similar age
#79,130
of 431,822 outputs
Outputs of similar age from Journal of Clinical Microbiology
#38
of 91 outputs
Altmetric has tracked 25,941,588 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,377 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 89% 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 431,822 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.