ArticleInternational archives of occupational and environmental health2016
Biomarkers of inflammation in workers exposed to compost and sewage dust.
Article in International archives of occupational and environmental health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 18 citations in OpenAlex.
- Endotoxins and Biological Implications-Review.Public health challenges · 2026Review
- TLR/NF-κB activation in vitro as a tool in the assessment of occupational bioaerosol exposure and health risks in wastewater treatment plants.Journal of exposure science & environmental epidemiology · 2026Article
- Bioaerosol-induced in vitro activation of toll-like receptors and inflammatory biomarker expression in waste workers.International archives of occupational and environmental health · 2023Article
- Divergent TLR2 and TLR4 Activation by Fungal Spores and Species Diversity in Dust from Waste Sorting Plants.Applied and environmental microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe association between exposure during handling of sewage and compost and the serum concentration of inflammatory biomarkers was studied.
methodsA total of 44 workers exposed to sewage dust, 47 workers exposed to compost dust and 38 referents from the administrative staff participated. Microbial aerosols were collected by personal inhalable samplers. The concentrations of bacterial cells, spores from fungi and bacteria (actinomycetes) and endotoxins were determined by fluorescence and scanning electron microscopy and the Limulus assay. Fibrinogen, D-dimer, ICAM-1, VCAM-1 and IL-6 were determined by ELISA and C-reactive protein (CRP) by HS-MicroCRP assay in blood samples collected post-shift.
resultsThe exposure to dust ranged from 0.02 to 11 mg/m(3), endotoxins from 1 to 3160 EU/m(3) and bacteria from 0 to 209 × 10(6) cells/m(3). Fungal (0-41 × 10(6) spores/m(3)) and actinomycetes spores (0-590 × 10(6) actinomycetes spores/m(3)) were observed only at compost plants. The exposed workers had significantly higher fibrinogen (arithmetic mean 3.3 mg/ml) and CRP (geometric mean 1.5 mg/L) compared to the referents (2.8 and 1.0 mg/L, respectively). The serum concentration of CRP was negatively associated with forced expiratory volume in one second (FEV1) in % of predicted. Exposure to inhalable dust and bacteria was positively associated with the serum concentration of ICAM-1.
conclusionsThis study suggests that exposure to bacteria and dust when handling sewage and compost may initiate an inflammation shown by an increase in serum concentration of ICAM-1. The higher concentrations of fibrinogen and CRP in exposed workers compared to the referents may reflect a low-grade systemic inflammation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.