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1.
Rev Pneumol Clin ; 73(4): 188-198, 2017 Sep.
Article in French | MEDLINE | ID: mdl-28838624

ABSTRACT

INTRODUCTION: Studies comparing the systemic inflammatory profiles of smokers with and without COPD present discordant findings. AIM: To compare the systemic inflammatory profile of smokers with and without COPD. METHODS: This is a cross-sectional comparative study. Two groups of active smokers of more than 10 pack-years were included: 56 consecutives stable COPD (postbronchodilator FEV1/FVC<0.70) and 32 consecutives non-COPD (postbronchodilator FEV1/FVC≥0.70). Smoking and clinical, anthropometric and spirometric data were noted. The following blood biomarkers were identified: leukocytes, hemoglobin, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR). According to the levels (normal/abnormal) of these markers, two groups of smokers were formed. Quantitative and qualitative data were expressed, respectively, as means±SD and percentages. RESULTS: Compared to the non-COPD group, the COPD group was older (56±12 vs. 65±8 years) and had a higher smoking consumption (30±18 vs. 52±31 pack-years). Compared to the non-COPD group, the COPD group had higher values of CRP (2.06±1.24 vs. 11.32±11.03mg/L), of ESR (9.59±8.29 vs. 15.96±11.56), of IL-6 (9.28±4.69 vs. 20.27±5.31ng/L) and of TNF-α (18.38±7.98ng/L vs. 8.62±3.72ng/L). Compared to the non-COPD group, the COPD group included higher percentages of smokers with elevated CRP (0 % vs. 32 %), with leukocytosis (6 % vs. 16 %), with higher levels of IL-6 (81 % vs. 98 %) or TNF-α (91 % vs. 100 %). CONCLUSION: Smokers with COPD, compared to smokers free from COPD, have a marked systemic inflammation.


Subject(s)
Biomarkers/blood , Inflammation/blood , Pulmonary Disease, Chronic Obstructive/blood , Smoking/blood , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Forced Expiratory Volume , Humans , Male , Middle Aged , Prospective Studies , Smokers/statistics & numerical data
2.
Int J Obes (Lond) ; 39(6): 920-4, 2015 Jun.
Article in English | MEDLINE | ID: mdl-25687220

ABSTRACT

BACKGROUND/OBJECTIVE: Obesity is an alarming threat for all age groups, including children. Fat overconsumption is one of the factors that directly influences this pathology. Recent studies have suggested that a common variant in the CD36 gene, that is, single-nucleotide polymorphism (SNP) rs1761667-A allele, that reduces CD36 expression, associates with high oral fat detection thresholds in some obese subjects. The objective was to assess fatty acid sensitivity in relation to CD36 SNP in young lean and obese children. SUBJECTS/METHODS: We studied lingual detection thresholds for emulsions, containing oleic acid, in Algerian children (n=116, age=8±0.5 years) who were divided into two groups: obese (n=57; body mass index (BMI) z-score=2.513±0.490) and lean children (n=59; BMI z-score=-0.138±0.601) by alternative-forced choice method. To correlate the lipid taste perception thresholds with CD36 SNP, the children were genotyped for A/G SNP rs1761667 in 5'UTR region of CD36 by using PCR and restriction fragment length polymorphism. RESULTS: We noticed significantly higher CD36 A-allele frequency (P=0.036) in young obese children compared with leans. CD36 A-allele was associated with higher lipid taste perception thresholds than G-allele in obese children, but not in lean controls. Moreover, waist circumference was positively correlated with reduced fat taste sensitivity in these children. CONCLUSIONS: CD36 SNP A-allele, being present both in young lean and in obese children, is associated with high threshold for fatty acid taste sensitivity only in obese children.


Subject(s)
CD36 Antigens/genetics , Obesity/genetics , Oleic Acid/metabolism , Polymorphism, Single Nucleotide , Taste Perception/genetics , Thinness/genetics , Algeria/epidemiology , Body Mass Index , Child , Dietary Fats , Feeding Behavior , Female , Food Preferences , Gene Frequency , Genotype , Humans , Male , Obesity/metabolism , Surveys and Questionnaires , Thinness/metabolism , Waist Circumference
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