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Deep Immune Profiling of an Arginine-Enriched Nutritional Intervention in Patients Undergoing Surgery

Overview of attention for article published in The Journal of Immunology, September 2017
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55 Mendeley
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Title
Deep Immune Profiling of an Arginine-Enriched Nutritional Intervention in Patients Undergoing Surgery
Published in
The Journal of Immunology, September 2017
DOI 10.4049/jimmunol.1700421
Pubmed ID
Authors

Nima Aghaeepour, Cindy Kin, Edward A Ganio, Kent P Jensen, Dyani K Gaudilliere, Martha Tingle, Amy Tsai, Hope L Lancero, Benjamin Choisy, Leslie S McNeil, Robin Okada, Andrew A Shelton, Garry P Nolan, Martin S Angst, Brice L Gaudilliere

Abstract

Application of high-content immune profiling technologies has enormous potential to advance medicine. Whether these technologies reveal pertinent biology when implemented in interventional clinical trials is an important question. The beneficial effects of preoperative arginine-enriched dietary supplements (AES) are highly context specific, as they reduce infection rates in elective surgery, but possibly increase morbidity in critically ill patients. This study combined single-cell mass cytometry with the multiplex analysis of relevant plasma cytokines to comprehensively profile the immune-modifying effects of this much-debated intervention in patients undergoing surgery. An elastic net algorithm applied to the high-dimensional mass cytometry dataset identified a cross-validated model consisting of 20 interrelated immune features that separated patients assigned to AES from controls. The model revealed wide-ranging effects of AES on innate and adaptive immune compartments. Notably, AES increased STAT1 and STAT3 signaling responses in lymphoid cell subsets after surgery, consistent with enhanced adaptive mechanisms that may protect against postsurgical infection. Unexpectedly, AES also increased ERK and P38 MAPK signaling responses in monocytic myeloid-derived suppressor cells, which was paired with their pronounced expansion. These results provide novel mechanistic arguments as to why AES may exert context-specific beneficial or adverse effects in patients with critical illness. This study lays out an analytical framework to distill high-dimensional datasets gathered in an interventional clinical trial into a fairly simple model that converges with known biology and provides insight into novel and clinically relevant cellular mechanisms.

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The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Ph. D. Student 8 15%
Other 5 9%
Professor 4 7%
Professor > Associate Professor 4 7%
Other 11 20%
Unknown 13 24%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Immunology and Microbiology 7 13%
Agricultural and Biological Sciences 5 9%
Computer Science 4 7%
Nursing and Health Professions 4 7%
Other 11 20%
Unknown 16 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 September 2017.
All research outputs
#15,390,547
of 25,703,943 outputs
Outputs from The Journal of Immunology
#25,381
of 30,007 outputs
Outputs of similar age
#169,897
of 324,343 outputs
Outputs of similar age from The Journal of Immunology
#112
of 192 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,007 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 324,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 192 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.