Explore the vast range of titles available.

The red palm weevil (RPW) is an invasive pest that causes devastating damage to a variety of palm plants, which exhibit specific immune priming to Bacillus thuringiensis (Bt). However, immune priming in RPW may incur a high fitness cost, and its molecular signaling pathways have not yet been reported. Here, we investigated the effect of Bt priming on RPW development and subsequently analyzed the hormonal and immune-related molecular pathways influencing the fitness cost induced by Bt priming. Bt priming delayed the body weight gain of fifth-instar larvae and prolonged their developmental duration. Bt priming significantly reduced the 20-hydroxyecdysone (20E) content in RPW hemolymph, and the expression levels of the 20E biosynthesis-related genes SHADOW and SHADE were significantly downregulated. Furthermore, we analyzed Toll pathway genes influencing Bt priming and found that only Spätzle (SPZ) transcription was significantly activated under Bt priming. After silencing SPZ expression, the negative effects of Bt priming on development, SHADOW expression, and 20E synthesis were eliminated, thereby suggesting that SPZ is a key molecular signal mediating developmental and immune trade-offs induced by Bt priming. Our results elucidate the molecular cascade pathway of immune priming and provide new targets for improving the efficiency of RPW biological controls.

This study examined the cross-sectional association among a number of daily health-related behavioral risk factors and sleep among Chinese elderly. A sample of 4993 adults, aged 60 years and older, from the China’s Health-Related Quality of Life Survey for Older Adults 2018 was included in this study. Five daily health-related behaviors, which included smoking, drinking, unhealthy eating habits, insufficient leisure activities, and physical inactivity were measured. Sleep disturbances and sleep quality were used to represent the respondents’ sleep status. Multiple logistic regression models and multiple linear regression models were established. The odds ratios (ORs) of sleep disturbances for those with one to five health-related risk behaviors were 1.41 (95% CI = 1.11 to 1.78), 2.09 (95% CI = 1.66 to 2.63), 2.54 (95% CI = 1.99 to 3.25), 2.12 (95% CI = 1.60 to 2.80), and 2.49 (95% CI = 1.70 to 3.65), respectively. Individuals with one health-related risk behavior (B = 0.14, 95% CI = −0.23 to −0.06), two health-related risk behaviors (B = 0.21, 95% CI = −0.30 to −0.13), three health-related risk behaviors (B = 0.46, 95% CI = −0.55 to −0.37), four health-related risk behaviors (B = 0.50, 95% CI = −0.62 to −0.39), and five health-related risk behaviors (B = 0.83, 95% CI = −1.00 to −0.66) showed lower scores of self-perceived sleep quality. Having multiple health-risk behaviors was positively correlated with a higher risk of sleep disturbances among Chinese elderly. Moreover, elderly individuals with multiple health-related risk behaviors were significantly associated with poorer sleep quality.

Chinese gay men are preferentially vulnerable to mental health problems because of deep-rooted, traditional social influence that overemphasizes heterosexual marriage, fertility, and filial piety. A cross-sectional survey was conducted from November to December 2017 using the Chinese version of the Symptom Checklist-90-R (SCL-90-R) to assess the status of, and factors associated with the mental health of Chinese gay men. Unadjusted associations between demographic factors and the total score of SCL-90-R were examined using t/F tests or person correlation analysis. The main factors that were most predictive of the aggregate score of SCL-90-R were identified by multiple linear regressions. A total of 367 gay men participated in this survey with an average score of SCL-90-R of 180.78 ± 79.58. The scores of seven dimensions (OCS, INTS, DEPR, ANX, HOS, PHOA, PARI) for Chinese gay men were found to be significantly higher than the national norm (all p < 0.001). Age (B = −1.088, SE = 0.478, p = 0.023), educational level (B = −14.053, SE = 5.270, p = 0.008), and degree of coming out publicly (B = −23.750, SE = 4.690, p < 0.001) were protective factors for participants’ mental health status. A gay man who is the only child in his family was more likely to obtain a higher total score of SCL-90-R in China (B = 59.321, SE = 7.798, p < 0.001). Our study reveals the worrying mental health status of Chinese gay men. Shifts in familial, governmental, and societal normas are suggested to improve the current social acceptance towards sexual minority men, as well as to reduce detrimental health effects.

This meta-analysis evaluated the influence of dietary intake and blood level of vitamin A (total vitamin A, retinol or β-carotene) on total and hip fracture risk. Cohort studies published before July 2017 were selected through English-language literature searches in several databases. Relative risk (RR) with corresponding 95% confidence interval (CI) was used to evaluate the risk. Heterogeneity was checked by Chi-square and I2 test. Sensitivity analysis and publication bias were also performed. For the association between retinol intake and total fracture risk, we performed subgroup analysis by sex, region, case ascertainment, education level, age at menopause and vitamin D intake. R software was used to complete all statistical analyses. A total of 319,077 participants over the age of 20 years were included. Higher dietary intake of retinol and total vitamin A may slightly decrease total fracture risk (RR with 95% CI: 0.95 (0.91, 1.00) and 0.94 (0.88, 0.99), respectively), and increase hip fracture risk (RR with 95% CI: 1.40 (1.02, 1.91) and 1.29 (1.06, 1.57), respectively). Lower blood level of retinol may slightly increase total fracture risk (RR with 95% CI: 1.11 (0.94, 1.30)) and hip fracture risk (RR with 95% CI: 1.27 (1.05, 1.53)). In addition, higher β-carotene intake was weakly associated with the increased risk of total fracture (RR with 95% CI: 1.07 (0.97, 1.17)). Our data suggest that vitamin A intake and level may differentially influence the risks of total and hip fractures. Clinical trials are warranted to confirm these results and assess the clinical applicability.

The association between body mass index (BMI) and health-related quality of life (HRQOL) has not been verified neither in China nor in any other Asian country. This study aimed to examine the association between BMI and HRQOL in the Chinese older adults population. A total of 5018 older adults from the China's Health-Related Quality of Life Survey for Older Adults 2018 was included in this study. The HRQOL was measured by the Chinese version of the World Health Organization Quality of Life Instrument-Older Adults Module (WHOQOL-OLD). Multiple linear regression analysis was used to explore the associations between BMI and HRQOL among the older adults in rural, urban, and total samples. After adjusting all the confounders, compared with normal weight group, underweight was negatively correlated with the total scores of HRQOL among the older adults in rural (B= -2.310, p < 0.01), urban (B= -1.019, p < 0.001), and total samples (B= -2.351, p < 0.001), whereas overweight was positively associated with the total scores of HRQOL among the older adults in rural samples (B= 0.888, p < 0.05). The results showed that obesity was not associated with the total scores of HRQOL among the older adults in rural (B= -1.214, p > 0.05), urban (B= -0.074, p > 0.05), and total samples (B= -1.461, p > 0.05). This study suggests that obese Chinese older adults did not show a better quality of life than those of normal weight. But this result does not deny the \"jolly fat\" hypothesis entirely, as the overweight older adults from rural areas showed better HRQOL. Moreover, underweight older people show a poorer HRQOL. The relationship between BMI and HRQOL in the older adults needs to be differentiated according to different characteristics of the population.

In this article, we review the available evidence and explore the association between air pollution and insulin resistance (IR) using meta-analytic techniques. Cohort studies published before January 2018 were selected through English-language literature searches in nine databases. Six cohort studies were included in our sample, which assessed air pollutants including PM2.5 (particulate matter with an aerodynamic diameter less than or equal to 2.5 μm), NO2(nitrogen dioxide), and PM10 (particulate matter with an aerodynamic diameter less than 10 μm). Percentage change in insulin or insulin resistance associated with air pollutants with corresponding 95% confidence interval (CI) was used to evaluate the risk. A pooled effect (percentage change) was observed, with a 1 μg/m3 increase in NO2 associated with a significant 1.25% change (95% CI: 0.67, 1.84; I2 = 0.00%, p = 0.07) in the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and a 0.60% change (95% CI: 0.17, 1.03; I2 = 30.94%, p = 0.27) in insulin. Similar to the analysis of NO2, a 1 μg/m3 increase in PM10 was associated with a significant 2.77% change (95% CI: 0.67, 4.87; I2 = 94.98%, p < 0.0001) in HOMA-IR and a 2.75% change in insulin (95% CI: 0.45, 5.04; I2 = 58.66%, p = 0.057). No significant associations were found between PM2.5 and insulin resistance biomarkers. We conclude that increased exposure to air pollution can lead to insulin resistance, further leading to diabetes and cardiometabolic diseases. Clinicians should consider the environmental exposure of patients when making screening and treatment decisions for them.

Persistence and adherence to oral anticoagulants (OACs) is crucial for its effectiveness in stroke prevention in atrial fibrillation (AF). We aimed to assess the impact of different ascertainment methods on estimated persistence rates. We conducted a retrospective cohort study based on the Medicare claims data (01/01/2013-12/31/2019). We built an incident user cohort of OAC (apixaban, dabigatran, edoxaban, rivaroxaban, and warfarin) prescription filling. We measured OAC medication persistence and adherence using the following approaches: (1) treatment-anniversary based persistence: if there is an active prescription overlapping the 180th and 365th day with vs. without a 15-day buffer period (i.e., overlapping with 165th-195th and 350th-380th day); (2) dispensing-gap-based persistence: if there is OAC discontinuation defined as having gap between prescriptions more than a threshold (e.g., 5-60 days) and secondarily, (3) proportion of days covered (PDC) adherence: proportion of days in which patient had filled medication available over the 365-day interval. We identified 1,398,692 patients who initiated OACs during the study interval. With the treatment-anniversary based approach, only 51.2% to 65.4% of the patients persisted with the medication for either warfarin or DOACs at 180 days, and the number dropped to 43.4% to 60.7% at 1 year. Adding a 15-day buffer period increased the treatment-anniversary based persistence rates by 6.5% to 10.5%. When the allowable gap increased from 5 to 60 days, the persistence rates increased by 36.3% to 42.4% for all OACs. Apixaban users had the highest PDC (74%-75%) over the 365 days, compared to other OACs (60%-69%). We found that the estimated persistence rates are sensitive to the choice of ascertainment methods. When reporting and comparing persistence findings using the claims database, definitions of OAC discontinuation must be clearly delineated.

The connections between long sleep duration and obesity or weight gain warrant further examination. This meta-analysis aimed to evaluate whether long sleep duration was associated with the risk of obesity, weight gain, body mass index (BMI) change or weight change in adults. PubMed, Embase, Cochrane Library, Elsevier Science Direct, Science Online, MEDLINE and CINAHL were searched for English articles published before May 2017. A total of 16 cohort studies (n = 329 888 participants) from 8 countries were included in the analysis. Pooled relative risks (RR) or regression coefficients (β) with 95% confidence intervals (CI) were estimated. Heterogeneity and publication bias were tested, and sensitivity analysis was also performed. We found that long sleep duration was associated with higher risk of obesity (RR [95% CI] = 1.04 [1.00-1.09], P = 0.037), but had no significant associations with weight gain, BMI change or weight change. Long sleep duration increased the risk of weight gain in three situations: among men, in studies with <5 years follow-up, and when sleep duration was 9 or more hours. Long sleep duration was associated with risk of obesity in adults. More cohort studies with objective measures are needed to confirm this relationship.