↓ Skip to main content

Biomarkers of systemic inflammation in farmers with musculoskeletal disorders; a plasma proteomic study

Overview of attention for article published in BMC Musculoskeletal Disorders, May 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
60 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Biomarkers of systemic inflammation in farmers with musculoskeletal disorders; a plasma proteomic study
Published in
BMC Musculoskeletal Disorders, May 2016
DOI 10.1186/s12891-016-1059-y
Pubmed ID
Authors

Bijar Ghafouri, Anders Carlsson, Sara Holmberg, Anders Thelin, Christer Tagesson

Abstract

Farmers have an increased risk for musculoskeletal disorders (MSD) such as osteoarthritis of the hip, low back pain, and neck and upper limb complaints. The underlying mechanisms are not fully understood. Work-related exposures and inflammatory responses might be involved. Our objective was to identify plasma proteins that differentiated farmers with MSD from rural referents. Plasma samples from 13 farmers with MSD and rural referents were included in the investigation. Gel based proteomics was used for protein analysis and proteins that differed significantly between the groups were identified by mass spectrometry. In total, 15 proteins differed significantly between the groups. The levels of leucine-rich alpha-2-glycoprotein, haptoglobin, complement factor B, serotransferrin, one isoform of kininogen, one isoform of alpha-1-antitrypsin, and two isoforms of hemopexin were higher in farmers with MSD than in referents. On the other hand, the levels of alpha-2-HS-glycoprotein, alpha-1B-glycoprotein, vitamin D- binding protein, apolipoprotein A1, antithrombin, one isoform of kininogen, and one isoform of alpha-1-antitrypsin were lower in farmers than in referents. Many of the identified proteins are known to be involved in inflammation. Farmers with MSD had altered plasma levels of protein biomarkers compared to the referents, indicating that farmers with MSD may be subject to a more systemic inflammation. It is possible that the identified differences of proteins may give clues to the biochemical changes occurring during the development and progression of MSD in farmers, and that one or several of these protein biomarkers might eventually be used to identify and prevent work-related MSD.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Researcher 8 13%
Student > Master 8 13%
Student > Bachelor 7 12%
Other 6 10%
Other 7 12%
Unknown 16 27%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Nursing and Health Professions 6 10%
Agricultural and Biological Sciences 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 11 18%
Unknown 17 28%
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 17 May 2016.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Musculoskeletal Disorders
#3,041
of 4,185 outputs
Outputs of similar age
#214,083
of 307,513 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#63
of 82 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,185 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 22nd percentile – i.e., 22% 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 307,513 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.