Dual function of Langerhans cells in skin TSLP-promoted TFH differentiation in mouse atopic dermatitis

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Factors associated with insomnia symptoms: A cross-sectional study during a Covid-19 fully restrictive lockdown

Insomnia is the most frequent sleep disorder and a public health concern that increased during the Covid 19 pandemic. Fully restrictive lockdowns during Covid are interesting periods to examine the impact of environmental and behavioural changes on the emergence of insomnia symptoms. In this cross-sectional study we aimed to (1) determine the main factors associated with insomnia symptoms during a Covid-19 fully restrictive lockdown examining the associated daily life alterations and (2) create a predictive model of insomnia symptoms. We used the data drawn from the “Covid-RythmE” study that reached volunteers from the general French population through an online survey during the last 2 weeks of the 2 month full lockdown. Associations with insomnia symptoms were tested and significant associations were entered in a Backward Stepwise Logistic Regression (BSLR) to assess the best combination to classify individuals with or without insomnia symptoms. From the 1624 participants, 50.64% suffered from mild to severe insomnia symptoms as assessed by the ISI. The best combination for explaining insomnia symptoms with 74.26% of accuracy included: age (OR = 1.15), females (OR = 1.26), smaller home sizes (OR = 0.77), environmental noises (OR = 1.59), anxiety symptoms (OR = 1.24), depressive symptoms (OR = 1.15), regularity of sleep–wake schedules (OR = 1.25), exposure to screen during the morning (OR = 1.13), and LED light during the evening (OR = 1.17). Thus, lifestyle schedule and exposure to natural synchronizers such as light, are primordial in considering in insomnia physiopathology, prevention and treatment, as well as the associated mental health status.     

Effects of short interpregnancy intervals on small-for-gestational age and preterm births

We examined the effects of short interpregnancy intervals on small-for-gestational age and preterm births in a biracial population using North Carolina birth certificate data from 1988 to 1994. We defined small-for-gestational age birth as being below the 10th percentile on a race-, sex-, and parity-specific growth curve after a gestation of 37-42 weeks. We defined preterm birth as a gestation of less than 37 weeks. We analyzed birth records from all eligible singleton births to black or white women ages 15-45 years after an interpregnancy interval of 0-3 months (N = 11,451) and a random sample of singleton births after an interval of 4-24 months (N = 23,118). We defined interpregnancy interval exposure categories as 0-3, 4-12, and 13-24 months. The multivariate adjusted odds ratio for small-for-gestational age births after interpregnancy intervals of 0-3 months compared with 13-24-month intervals was 1.6 (95% confidence interval = 1.4-1.8). The odds ratio for preterm birth after interpregnancy intervals of 0-3 months was 1.2 (95% confidence interval = 1.1-1.3). Odds ratios did not vary substantially by race for either outcome.     

Alcohol dehydrogenase 3 and risk of squamous cell carcinomas of the head and neck.

In order to examine the association between alcohol dehydrogenase 3 (ADH3) genotypes and risk of head and neck squamous cell carcinomas (HNSCC), we conducted a hospital based case-control study including 348 cases and 330 controls. DNA isolated from exfoliated cells from the oral cavity were genotyped for ADH3 polymorphisms using PCR followed by SspI digestion. Odds ratios (OR) and hazards ratios (HR) were done by unconditional logistic regression and Cox regression. Relative to ADH3(2-2) carriers, ADH3(1-1) [OR, 0.7; 95% confidence interval (CI), 0.4-1.1] and ADH3(1-2) (OR, 0.8; 95% CI, 0.5-1.2) had a nonsignificant reduced risk of HNSCC. ADH(1-2) smokers of >30 pack-years were at decreased risk of oral cavity squamous cell carcinomas compared with ADH3(2-2) (OR, 0.3, 0.1-0.9), whereas ADH3(1-1) smokers were not. After adjustment, those with ADH3(1-2) had significantly worse overall survival compared with ADH3(1-1) (HR, 0.3, 0.2-0.6) or ADH3(2-2) (HR, 0.4, 0.2-0.9) and increased recurrence (ADH3(1-1), 0.2, 0.1-0.6; ADH3(2-2), 0.6, 0.2-1.3). Our data did not show that ADH3 genotypes had a significantly independent effect on the risk of HNSCC, nor did they modify the risks increased by alcohol or tobacco consumption and high-risk human papillomavirus infection. However, participants with ADH3(1-2) genotype were associated with poorer survival compared with those who had the other two ADH3 genotypes and a higher rate of recurrence than participants with ADH3(1-1) genotype.