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Immune response to influenza vaccination in the elderly is altered by chronic medication use

Overview of attention for article published in Immunity & Ageing, August 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 (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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8 X users
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1 Google+ user

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44 Mendeley
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Title
Immune response to influenza vaccination in the elderly is altered by chronic medication use
Published in
Immunity & Ageing, August 2018
DOI 10.1186/s12979-018-0124-9
Pubmed ID
Authors

Divyansh Agarwal, Kenneth E. Schmader, Andrew V. Kossenkov, Susan Doyle, Raj Kurupati, Hildegund C. J. Ertl

Abstract

The elderly patient population is the most susceptible to influenza virus infection and its associated complications. Polypharmacy is common in the aged, who often have multiple co-morbidities. Previous studies have demonstrated that commonly used prescription drugs can have extensive impact on immune defenses and responses to vaccination. In this study, we examined how the dynamics of immune responses to the two influenza A virus strains of the trivalent inactivated influenza vaccine (TIV) can be affected by patient's history of using the prescription drugs Metformin, NSAIDs or Statins. We provide evidence for differential antibody (Ab) production, B-cell phenotypic changes, alteration in immune cell proportions and transcriptome-wide perturbation in individuals with a history of long-term medication use, compared with non-users. We noted a diminished response to TIV in the elderly on Metformin, whereas those on NSAIDs or Statins had higher baseline responses but reduced relative increases in virus-neutralizing Abs (VNAs) or Abs detected by an enzyme-linked immunosorbent assay (ELISA) following vaccination. Collectively, our findings suggest novel pathways that might underlie how long-term medication use impacts immune response to influenza vaccination in the elderly. They provide a strong rationale for targeting the medication-immunity interaction in the aged population to improve vaccination responses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Ph. D. Student 9 20%
Student > Master 5 11%
Other 4 9%
Student > Bachelor 3 7%
Other 2 5%
Unknown 12 27%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Agricultural and Biological Sciences 6 14%
Immunology and Microbiology 3 7%
Computer Science 3 7%
Nursing and Health Professions 1 2%
Other 6 14%
Unknown 15 34%
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 19 April 2020.
All research outputs
#4,685,684
of 23,812,962 outputs
Outputs from Immunity & Ageing
#121
of 393 outputs
Outputs of similar age
#88,173
of 336,590 outputs
Outputs of similar age from Immunity & Ageing
#2
of 8 outputs
Altmetric has tracked 23,812,962 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 69% 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 336,590 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 73% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.