| Title |
Pulmonary innate inflammatory responses to agricultural occupational contaminants
|
|---|---|
| Published in |
Cell and Tissue Research, February 2017
|
| DOI | 10.1007/s00441-017-2573-4 |
| Pubmed ID | |
| Authors |
Ram S. Sethi, David Schneberger, Chandrashekhar Charavaryamath, Baljit Singh |
| Abstract |
Agricultural workers are exposed to many contaminants and suffer from respiratory and other symptoms. Dusts, gases, microbial products and pesticide residues from farms have been linked to effects on the health of agricultural workers. Growing sets of data from in vitro and in vivo models demonstrate the role of the innate immune system, especially Toll-like receptor 4 (TLR4) and TLR9, in lung inflammation induced following exposure to contaminants in agricultural environments. Interestingly, inflammation and lung function changes appear to be discordant indicating the complexity of inflammatory responses to exposures. Whereas the recent development of rodent models and exposure systems have yielded valuable data, we need new systems to examine the combined effects of multiple contaminants in order to increase our understanding of farm-exposure-induced negative health effects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Master | 4 | 10% |
| Professor | 4 | 10% |
| Student > Bachelor | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 13 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 12% |
| Engineering | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Environmental Science | 2 | 5% |
| Other | 10 | 24% |
| Unknown | 14 | 34% |
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 16 May 2017.
All research outputs
#21,180,380
of 23,839,820 outputs
Outputs from Cell and Tissue Research
#2,002
of 2,279 outputs
Outputs of similar age
#360,062
of 424,210 outputs
Outputs of similar age from Cell and Tissue Research
#17
of 19 outputs
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