1. |
- Daniau, A. -L, et al.
(author)
-
predictability of biomass burning in response to climate changes
- 2012
-
In: Global Biogeochemical Cycles. - 0886-6236 .- 1944-9224. ; 26, s. GB4007-
-
Journal article (peer-reviewed)abstract
- Climate is an important control on biomass burning, but the sensitivity of fire to changes in temperature and moisture balance has not been quantified. We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo-fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
|
|
2. |
- Bafadhel, Mona, et al.
(author)
-
Acute Exacerbations of Chronic Obstructive Pulmonary Disease : Identification of Biologic Clusters and Their Biomarkers
- 2011
-
In: American Journal of Respiratory and Critical Care Medicine. - 1073-449X .- 1535-4970. ; 184:6, s. 662-671
-
Journal article (peer-reviewed)abstract
- Rationale: Exacerbations of chronic obstructive pulmonary disease (COPD) are heterogeneous with respect to inflammation and etiology. Objectives: Investigate biomarker expression in COPD exacerbations to identify biologic clusters and determine biomarkers that recognize clinical COPD exacerbation phenotypes, namely those associated with bacteria, viruses, or eosinophilic airway inflammation. Methods: Patients with COPD were observed for 1 year at stable and exacerbation visits. Biomarkers were measured in sputum and serum. Viruses and selected bacteria were assessed in sputum by polymerase chain reaction and routine diagnostic bacterial culture. Biologic phenotypes were explored using unbiased cluster analysis and biomarkers that differentiated clinical exacerbation phenotypes were investigated. Measurements and Main Results: A total of 145 patients (101 men and 44 women) entered the study. A total of 182 exacerbations were captured from 86 patients. Four distinct biologic exacerbation clusters were identified. These were bacterial-, viral-, or eosinophilic-predominant, and a fourth associated with limited changes in the inflammatory profile termed "pauciinflammatory." Of all exacerbations, 55%, 29%, and 28% were associated with bacteria, virus, or a sputum eosinophilia. The biomarkers that best identified these clinical phenotypes were sputum IL-1 beta, 0.89 (area under receiver operating characteristic curve) (95% confidence interval [CI], 0.83-0.95); serum CXCL10, 0.83 (95% CI, 0.70-0.96); and percentage peripheral eosinophils, 0.85 (95% CI, 0.78-0.93), respectively. Conclusions: The heterogeneity of the biologic response of COPD exacerbations can be defined. Sputum IL-1 beta, serum CXCL10, and peripheral eosinophils are biomarkers of bacteria-, virus-, or eosinophil-associated exacerbations of COPD. Whether phenotype-specific biomarkers can be applied to direct therapy warrants further investigation.
|
|