| Literature DB >> 27610180 |
Abstract
Allergic diseases such as asthma, allergic rhinitis, atopic dermatitis, and food allergy, are most common chronic, noncommunicable diseases in childhood. In the past few decades, the prevalence has increased abruptly worldwide. There are 2 possible explanations for the rising prevalence of allergic diseases worldwide, that an increased disease-awareness of physician, patient, or caregivers, and an abrupt exposure to unknown hazards. Unfortunately, the underlying mechanisms remain largely unknown. Despite the continuing efforts worldwide, the etiologies and rising prevalence remain unclear. Thus, it is important to identify and control risk factors in the susceptible individual for the best prevention and management. Genetic susceptibility or environments may be a potential background for the development of allergic disease, however they alone cannot explain the rising prevalence worldwide. There is growing evidence that epigenetic change depends on the gene, environment, and their interactions, may induce a long-lasting altered gene expression and the consequent development of allergic diseases. In epigenetic mechanisms, environmental tobacco smoke (ETS) exposure during critical period (i.e., during pregnancy and early life) are considered as a potential cause of the development of childhood allergic diseases. However, the causal relationship is still unclear. This review aimed to highlight the impact of ETS exposure during the perinatal period on the development of childhood allergic diseases and to propose a future research direction.Entities:
Keywords: Allergic rhinitis; Asthma; Atopic dermatitis; Child; Tobacco smoke pollution
Year: 2016 PMID: 27610180 PMCID: PMC5014911 DOI: 10.3345/kjp.2016.59.8.319
Source DB: PubMed Journal: Korean J Pediatr ISSN: 1738-1061
The effect of environmental tobacco smoke exposure during perinatal period on the development of childhood allergic diseases
| Source | Design | Time to ETS exposure | Outcome | Age at outcome measure (yr) | Pooled risk (95% CI) |
|---|---|---|---|---|---|
| Feleszko et al. | Meta-analysis | After birth | Allergic sensitization, SPT | Overall | 1.15 (1.04–1.28) |
| <7 | 1.30 (1.05–1.61) | ||||
| ≥7 | 0.96 (0.79–1.18) | ||||
| Allergic sensitization, sIgE | Overall | 1.12 (1.00–1.25) | |||
| <7 | 1.20 (1.05–1.38) | ||||
| ≥7 | 1.11 (0.99–1.25) | ||||
| Burke et al. | Meta-analysis | In utero | Wheeze | ≤2 | 1.41 (1.19–1.67) |
| 3–4 | 1.28 (1.14–1.44) | ||||
| Asthma | 5–18 | 1.52 (1.23–1.87) | |||
| ≤2 | 1.85 (1.35–2.53) | ||||
| 3–4 | 1.30 (0.88–1.92) | ||||
| 5–18 | 1.23 (1.12–1.44) | ||||
| Maternal smoking, after birth | Wheeze | ≤2 | 1.70 (1.24–2.35) | ||
| 3–4 | 1.65 (1.20–2.28) | ||||
| 5–18 | 1.18 (0.99–1.40) | ||||
| Asthma | ≤2 | 2.47 (0.65–9.39) | |||
| 3–4 | 1.05 (0.88–1.25) | ||||
| 5–18 | 1.20 (0.98–1.44) | ||||
| Silvestri et al. | Meta-analysis | Perinatal | <6 | 1.36 (1.19–1.55) | |
| Wheeze | ≥6 | 1.22 (1.03–1.44) | |||
| In utero only | Overall | 1.24 (1.11–1.38) | |||
| Saulyte et al.33) | Meta-analysis | In utero | Allergic rhinitis | Overall | 1.07 (0.92–1.28) |
| Saulyte et al. | Meta-analysis | Perinatal | Atopic dermatitis | Overall | 1.07 (0.96–1.19) |
| Saulyte et al.33) | Meta-analysis | Postnatal | Food allergy | Overall | 1.01 (0.56–1.82) |
| Henderson et al. | Two birth cohort | <6 Months of age | |||
| ALSPAC | In utero | 1.30 (1.09–1.56) | |||
| After birth | Wheeze | 1.11 (0.98–1.25) | |||
| ELSPAC | In utero | 0.99 (0.64–1.55) | |||
| After birth | 1.66 (1.17–2.36) | ||||
| Herberth et al. | Birth cohort | In utero | Atopic dermatitis | <1 | 2.15 (1.05–4.40) |
| <2 | 2.02 (1.08–3.77) | ||||
| <3 | 2.02 (1.12–3.67) | ||||
| Sariachvili et al. | Birth cohort | In utero, maternal active | <1 | 0.8 (0.5–1.4) | |
| In utero, maternal passive | Atopic dermatitis | 0.7 (0.5–0.9) | |||
| After birth | 1.2 (0.7–2.1) | ||||
| Linneberg et al. | Birth cohort | In utero | Atopic dermatitis | ≤18 months of age | |
| Every day | 0.87 (0.78–0.98) | ||||
| Less than every day | 1.07 (0.80–1.44) | ||||
| Jedrychowski et al. | Birth cohort | Perinatal | Atopic dermatitis | <1 | 1.13 (0.53–2.42) |
| ETS plus PM2.5 | 2.39 (1.10–5.18) |
ETS, environmental tobacco smoke; CI, confidence interval; SPT, skin prick test; slgE, specific lgE; ALSPAC, the Avon Study of Parents and Children; ELSPAC, the United Kingdom and European Longitudinal Study of Pregnancy and Childhood; PM2.5, particulate matter 2.5.
Biomarkers as an objective measurement of exposure to the tobacco smoke, characteristics, and advantage/disadvantage of each biomarkers
| Biomarker | Exposure status | Advantages | Disadvantages |
|---|---|---|---|
| Urine | Recent exposure | Noninvasiveness | Need for creatinine clearance adjustment for hydration |
| Serum | Recent exposure | No need of adjustment | Invasiveness |
| Saliva | Recent exposure | Noninvasiveness | Various influencing factors; oral pH, diet, dehydration, drug, age, race, gender |
| Dried blood spot | Recent exposure | Easy to ship and store | Need for further research |
| Hair | 1 cm of proximal hair reflects the last month's ETS exposure | Noninvasiveness | Various influencing factors; hair dyeing, age, gender, or race |
| Toenails | 1 mm of toenails reflects the last month's ETS exposure | Convenience | Need for further research |
ETS, environmental tobacco smoke.