HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Autoantibodies in coalminers: their relationship to the development of progressive massive fibrosis.

Abstract
Sera from 2421 coalminers, representing all the radiological categories of pneumoconiosis, and from 260 healthy blood donors, as controls, were examined for antinuclear factor and rheumatoid factor. Antinuclear factors were present in 21.5% of sera from the controls and in 23.1% from the coalminers' group. Rheumatoid factor was present in 5.3% of coalminers and as expected occurred particularly in the few men with progressive massive fibrosis who also had rheumatoid disease. The combined prevalence of both factors showed an increase with age at all disease levels and a significant association with pneumoconiosis category only in men older than 60 years. This study provides no evidence that autoantibodies are likely to be of value in detecting men predisposed to the development of massive fibrosis other than those with rheumatoid disease.
AuthorsJ E Boyd, M D Robertson, J M Davis
JournalAmerican journal of industrial medicine (Am J Ind Med) Vol. 3 Issue 2 Pg. 201-8 ( 1982) ISSN: 0271-3586 [Print] United States
PMID6982618 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Antibodies, Antinuclear
  • Autoantibodies
  • Reticulin
  • Rheumatoid Factor
Topics
  • Antibodies, Antinuclear (analysis)
  • Autoantibodies (analysis)
  • Coal Mining
  • Humans
  • Lung (diagnostic imaging)
  • Male
  • Pneumoconiosis (diagnostic imaging, immunology)
  • Pulmonary Fibrosis (diagnostic imaging, immunology)
  • Radiography
  • Reticulin (immunology)
  • Rheumatoid Factor (analysis)
  • Smoking

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: