The Effects of Animations and Multimedia Messages on Public Engagement in Precision Medicine: Assessment of Moderation and Mediation.

Public participation in precision medicine (PM) research is essential to achieving effective health care but has been impeded by a lack of awareness and basic knowledge. There is a critical need for educational materials that can clearly explain PM to foster involvement. This randomized controlled trial with a posttest-only control group design aims to assess the effects of educational messages delivered through animations relative to live-action videos and leaflets on intentions of involvement in PM research. Knowledge as the moderator and four mediators (engagement, vividness, trustworthiness, and cognitive value) of the intended effects were also evaluated. A total of 326 U.S. adults were sampled from Amazon Mechanical Turk. Among participants with less knowledge about PM, animations produced stronger information-seeking intentions and willingness to participate than leaflets. The effects of three message modalities were not significantly different among average and highly knowledgeable participants. Engagement and vividness mediated the effects of animations relative to two other message modalities. Trustworthiness and cognitive value mediated the effects of animations relative to live-action videos. Overall, animations can be an effective communication strategy to motivate involvement in PM but its effectiveness could decline as knowledge increases. The explanations and implications of the findings were discussed.

Performance of assessment tools in predicting neural autoantibody positivity in patients with seizures.

BACKGROUND: The identification of patients with seizures of unknown etiology who would benefit from neural antibody testing necessitates effective assessment tools. The study aimed to compare the performance of the Antibody Prevalence in Epilepsy and Encephalopathy (APE2) score and the "Obvious" Indications for Neural Antibody Testing in Epilepsy or Seizures (ONES) checklist. We also intended to evaluate whether the performance of the tools varied by types of antibody. METHODS: Patients diagnosed with epilepsy, seizures, or status epilepticus of unknown etiology at West China Hospital from January 2019 to December 2021 were included. Paired serum/cerebrospinal fluid samples were analyzed for antineuronal and antiglial antibodies. The APE2 score and ONES checklist were applied, and their outcomes were compared to laboratory antibody test results. Possible false positive neuronal antibody results were excluded in sensitivity/specificity analysis reasonably. RESULTS: A total of 113 antibody-positive and 159 antibody-negative patients were enrolled in sensitivity/specificity analysis. The ONES checklist showed superior sensitivity than APE2 score (95.6 % vs.79.6 %, P < 0.001). Specificity was not statistically different (60.4 % vs. 57.9 %, P = 0.557). The negative predictive value (NPV) of ONES checklist was higher than that of APE2 score (94.8 % vs 80.7 %, P < 0.001). The positive predictive value of them was not statistically different (61.7 % vs 58.8 %, P = 0.557). APE2 score exhibited lower sensitivity for predicting LGI-Abs (52.9 % vs. 80.3 %, P = 0.022) compared to NMDAR-Abs. Similarly, ONES checklist showed lower sensitivity for LGI1-Abs than NMDAR-Abs (82.4 % vs. 100.0 %, P = 0.009). CONCLUSIONS: The ONES checklist demonstrates superior sensitivity for neural antibody positivity than APE2 score. Specificity of the two assessment tools was similar. ONES checklist performed better NPV than the APE2 score. Both assessment tools performed less well in predicting the presence of LGI1- Abs when compared to NMDAR-Abs.

Development and validation of a facile rapid assessment scale for perinatal venous thromboembolism in puerperium in Chinese women.

BACKGROUND: It is still urgent and challenge to develop a simple risk assessment scale for venous thromboembolism (VTE) in puerperium in Chinese women. METHODS: The study, a retrospective case-control study, was conducted in 12 hospitals in different cities in China. A total of 1152 pregnant women were selected, including 384 cases with VTE and 768 cases without VTE. A logistic regression method was conducted to determine the risk factors of VTE. RESULTS: Age, BMI before delivery, gestational diabetes mellitus, family history (thrombosis, diabetes, cardiovascular disease), and assisted reproductive technology were independent risk factors (P<0.05). The difference between the high-risk group and the low-risk group was statistically significant(P<0.001) with a sensitivity of 0.578, specificity of 0.756, Yuden index o.334, and area under the ROC curve of 0.878. CONCLUSIONS: The age (≥ 35 years), BMI before delivery (≥ 30 kg/m2), gestational diabetes mellitus, family history of related diseases and assisted reproductive technology are more likely to cause VTE after full-time delivery. The simple and rapid assessment scale of VTE in women after full-term delivery has perfect discrimination (P < 0.001), which can be applied to predict the risk of VTE in Chinese full-term postpartum women.

Marine Structural Health Monitoring with Optical Fiber Sensors: A Review.

Real-time monitoring of large marine structures' health, including drilling platforms, submarine pipelines, dams, and ship hulls, is greatly needed. Among the various kinds of monitoring methods, optical fiber sensors (OFS) have gained a lot of concerns and showed several distinct advantages, such as small size, high flexibility and durability, anti-electromagnetic interference, and high transmission rate. In this paper, three types of OFS used for marine structural health monitoring (SHM), including point sensing, quasi-distributed sensing, and distributed sensing, are reviewed. Emphases are given to the applicability of each type of the sensors by analyzing the operating principles and characteristics of the OFSs. The merits and demerits of different sensing schemes are discussed, as well as the challenges and future developments in OFSs for the marine SHM field.

Economical downstream processing of microbial polyunsaturated fatty acids.

Polyunsaturated fatty acids (PUFAs) are important nutrients for humans and animals. Microorganisms, such as yeast, filamentous fungi, and microalgae, have successfully been modified to produce PUFAs. Apart from strain improvement and fermentation optimization, efficient and cost-effective downstream processing will determine whether production can advance from the laboratory to the factory.

Development of an audiological assessment and diagnostic model for high occupational noise exposure.

PURPOSE: To explore the diagnostic auditory indicators of high noise exposure and combine them into a diagnostic model of high noise exposure and possible development of hidden hearing loss (HHL). METHODS: We recruited 101 young adult subjects and divided them according to noise exposure history into high-risk and low-risk groups. All subjects completed demographic characteristic collection (including age, noise exposure, self-reported hearing status, and headset use) and related hearing examination. RESULTS: The 8 kHz (P = 0.039) and 10 kHz (P = 0.005) distortion product otoacoustic emission amplitudes (DPOAE) (DPs) in the high-risk group were lower than those in the low-risk group. The amplitudes of the summating potential (SP) (P = 0.017) and action potential (AP) (P = 0.012) of the electrocochleography (ECochG) in the high-risk group were smaller than those in the low-risk group. The auditory brainstem response (ABR) wave III amplitude in the high-risk group was higher than that in the low-risk group. When SNR = - 7.5 dB (P = 0.030) and - 5 dB (P = 0.000), the high-risk group had a lower speech discrimination score than that of the low-risk group. The 10 kHz DPOAE DP, ABR wave III amplitude and speech discrimination score under noise with SNR = - 5 dB were combined to construct a combination diagnostic indicator. The area under the ROC curve was 0.804 (95% CI 0.713-0.876), the sensitivity was 80.39%, and the specificity was 68.00%. CONCLUSIONS: We expect that high noise exposure can be detected early with this combined diagnostic indicator to prevent HHL or sensorineural hearing loss (SNHL). TRIAL REGISTRATION NUMBER/DATE OF REGISTRATION: ChiCTR2200057989, 2022/3/25.

Ultrafast and field-based detection of methamphetamine in hair with Au nanocake-enhanced Raman spectroscopy.

The disaster and devastation from abuse of Methamphetamine (MAMP) have a serious impact on people's mental and physical health. Developing a rapid and accurate method to screen drug suspects and thus control MAMP abuse is essential to social security. Hair analysis for MAMP detection is considered to be one of the most potential methods for monitoring drug abuse due to its convenient sample collection, easy for storage and long traceability period. However, the current accurate detection of MAMP in hair primarily utilizes hyphenated mass spectrometry (MS) techniques, but it is not suitable for field-based detection due to the bulky instrument. Hence, developing alternative portable detection techniques for rapid on-site detection of MAMP in hair is an urgent problem to be solved. Here, the high-performance Au nanocakes (Au NCs) were constructed as surface-enhanced Raman spectroscopy (SERS) substrates to detect MAMP in hair, realizing 5 min ultrafast and ultrasensitive detection utilizing a portable Raman spectrometer. Experiments and finite-difference time-domain (FDTD) simulations show that Au NCs have stronger enhancement than Au nanospheres (Au NPs), and 0.5 ppb (3.35 × 10-9 M) MAMP standard is stably detected by Au NCs as an enhanced substrate. A strategy of liquid-liquid microextraction was exploited to eliminate the interference of complex matrices in hair. This method exhibited excellent reproducibility and temporal stability across different drug addicts (relative standard deviation was 5.14% within 160 s). Our approach shows great promise in public safety, providing a rapid and accurate method to detect in hair by SERS.

Low-Cost Self-Calibration Data Glove Based on Space-Division Multiplexed Flexible Optical Fiber Sensor.

Wearable devices such as data gloves have experienced tremendous growth over the past two decades. It is vital to develop flexible sensors with fast response, high sensitivity and high stability for intelligent data gloves. Therefore, a tractable low-cost flexible data glove with self-calibration function based on a space-division multiplexed flexible optical fiber sensor is proposed. A simple, stable and economical method was used to fabricate flexible silicone rubber fiber for a stretchable double-layered coaxial cylinder. The test results show that the fiber is not sensitive to the temperature range of (20~50 °C) and exhibits excellent flexibility and high stability under tensile, bending and torsional deformation. In addition, the signal detection part of the data glove enables compact and efficient real-time information acquisition and processing. Combined with a self-calibration function that can improve the accuracy of data acquisition, the data glove can be self-adaptive according to different hand sizes and bending habits. In a gesture capture test, it can accurately recognize and capture each gesture, and guide the manipulator to make the same action. The low-cost, fast-responding and structurally robust data glove has potential applications in areas such as sign language recognition, telemedicine and human-robot interaction.

Genome-Wide Association Study of Body Weight Trait in Yaks.

The yak is the largest meat-producing mammal around the Tibetan Plateau, and it plays an important role in the economic development and maintenance of the ecological environment throughout much of the Asian highlands. Understanding the genetic components of body weight is key for future improvement in yak breeding; therefore, genome-wide association studies (GWAS) were performed, and the results were used to mine plant and animal genetic resources. We conducted whole genome sequencing on 406 Maiwa yaks at 10 × coverage. Using a multiple loci mixed linear model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK), we found that a total of 25,000 single-nucleotide polymorphisms (SNPs) were distributed across chromosomes, and seven markers were identified as significantly (p-values < 3.91 × 10−7) associated with the body weight trait,. Several candidate genes, including MFSD4, LRRC37B, and NCAM2, were identified. This research will help us achieve a better understanding of the genotype−phenotype relationship for body weight.

What shapes the impact of environmental regulation on energy intensity? New evidence from enterprise investment behavior in China.

With the deepening of economic reforms in China, the low-energy transition is increasingly relying on government policy and enterprise participation. This research thus investigates the mechanism through which environmental regulation impacts industrial energy intensity. Based on provincial data during 2005-2019, we construct a dynamic panel model to capture the linkage between environmental regulation and the energy intensity with the consideration of the mediation effect of enterprise investment behavior, i.e., technology or financial investment. Our findings suggest a significant U-shaped relationship between regulation and energy intensity, and that enterprise investment behavior serves as a bridge to mediate the role of environmental regulation in alleviating energy intensity. Such effects are more pronounced for state-owned and large-sized enterprises. These findings can guide enterprises to invest in response to these regulations to further ensure energy efficiency.

[Randomized controlled trial outcome indicators of traditional Chinese medicine for gastrointestinal dysfunction in sepsis in recent two years].

The purpose of the study is to analyze the outcomes of randomized controlled trial(RCT) of Chinese herbal medicine formula(CHMF) in the treatment of gastrointestinal dysfunction in sepsis in recent two years. We systematically searched four Chinese databases, three English databases, and two clinical trial registries to analyze the reports of outcome indicators of clinical trials, and evaluated the risk of bias by using the ROB tool of Cochrane Collaboration. After screening, 55 clinical RCTs were included. The results showed that the current clinical studies of gastrointestinal dysfunction in sepsis reported the efficacy and safety indicators. The efficacy indicators included APACHE Ⅱ scores, gastrointestinal dysfunction scores, bowel sound scores, and inflammatory indicator such as C-reactive protein and procalcitonin. The safety indicators mainly include gastrointestinal reactions, skin reactions, and other adverse events and adverse reactions. However, there was no distinction between primary and secondary outcomes. The relevant indicators of health economics were not reported, and the quality of research methodology was poor. Therefore, we suggest that future researchers should be well prepared in the top-level design stage and actively construct the core outcome set, so as to improve the quality of clinical trials.

Community-Based Participatory Research (CBPR) to Enhance Participation of Racial/Ethnic Minorities in Clinical Trials: A 10-Year Systematic Review.

There has not been a significant improvement in the rate of clinical trial accrual in more than 20 years. Worse, the challenge of inadequate representation among racial and ethnic minorities also persists, deepening disparities in health. Community-Based Participatory Research (CBPR) is a participatory communication method that centers on effective dialogue between researchers and community stakeholders with the goal of creating an equitable partnership for health and social change. The objective of the current study was to provide an update since a systematic review in 2012, on the current status of the empirical research, with a particular focus on the elements of CBPR methods used to improve the rate of accrual of members of racial and ethnic minority communities for clinical trials. Our systematic review found a large increase in the number of CBPR related studies and studies related to racial and ethnic representation in research. More than 85% of studies employing CBPR methods saw statistically positive outcomes. Specifically, the elements of CBPR that are associated with these positive outcomes include community partner participation in (1) a study advisory committee, (2) data collection, (3) the development of interventions, and (4) participant recruitment. However, the results of our study indicate that researchers need to be more transparent about the extent of community participation as well as more thoroughly and accurately describe the nature of the partnership with members of minority communities in order to build upon the scientific literature on community-engaged methods.

Fertility and early embryonic development toxicity assessment of naringin in Sprague-Dawley rats.

Naringin is a dihydroflavonoid abundantly existed in grapefruit and related citrus species. The double directional adjusting function of estrogenic and anti-estrogenic activities of naringin and its aglycone naringenin has raised concern about possible risks of unwanted interference with endocrine regulation. Herein we assessed the safety of naringin on fertility and early embryonic development toxicity in Sprague-Dawley rats. Twenty-two male and 22 female rats per group were orally given naringin at 0, 50, 250, and 1250 mg/kg/day. Male rats were administered beginning 9 weeks prior to mating and continued until necropsy. Dosing to female began 2 weeks before mating and continued until gestation day 7. There were no obvious effects of naringin on physical signs, animal behavior, and survival rate, although female and male rats from 1250 mg/kg group had lower body weight and tended to have less food consumption. Importantly, no treatment-related effects of naringin were found in relation to fertility and early embryonic development. Under these experimental conditions, it was concluded that the no-observed-adverse-effect levels (NOAEL) of naringin were at least 1250 mg/kg/day for fertility and early embryonic development in rats.

[Spatial Distribution and Risk Assessment of Heavy Metal Pollution in Farmland Soils Surrounding a Typical Industrial Area of Henan Province].

In order to fully explore the spatial distribution of soil heavy metal contaminants in farmland soil surrounding a typical industrial area in Dakuai town, Xinxiang city, Henan Province, the concentrations of As, Cd, Cr, Cu, Ni, Pb, and Zn in the surface soil and within the soil profile were determined and assessed. The principal components were also analyzed for source apportionment to provide a theoretical basis for the control and prevention of heavy metal pollution. According to the results, the soils in the study area are severely contaminated by Cd and Cu and moderated contaminated by As due to the battery manufacture and Cu (e.g., pipe and wire) processing. The concentrations of Cd, Cu, and As in soils were (2.56±1.23) mg·kg-1, (205.58±157.49) mg·kg-1, and (15.27±4.14) mg·kg-1, respectively, which exceeds standards by 100%, 89.44%, and 3.40%, respectively. Accounting for the influence of pollution sources, terrain, runoff erosion, and prevailing wind direction, all heavy metal concentrations were higher in the south direction, lower in the north direction. The concentrations of Cd and Cu in soil profile samples decreased with depth, with highest concentrations at the surface, indicating the strong effect of industrial activities. Arsenic concentrations varied little with soil depth due to its strong migration ability in alkaline soil, again suggesting an industrial source. Among them, the soil of study area was severely contaminated by Cd and Cu (Level 5). Cd poses a severe potential ecological risk (Level 5) and Cu poses a medium risk (Level 2) in the study soils, while other heavy metals show low potential ecological risk (Level 1). The order of the risk identified was Cd > Cu > Ni > As > Pb > Cr > Zn. In addition, the combined potential ecological risk of heavy metals in the target area is severe. The principal component analysis showed that the high As, Cd, and Cu contents are mainly derived from industrial areas. Therefore, it is urgent to remediate Cd and Cu soil contamination in this area and implement precautions to limit As contamination.

Clean air actions in China, PM2.5 exposure, and household medical expenditures: A quasi-experimental study.

BACKGROUND: Exposure to air pollution, a leading contributor to the global burden of disease, can cause economic losses. Driven by clean air policies, the air quality in China, one of the most polluted countries, has improved rapidly since 2013. This has enabled a unique, quasi-experiment to assess the economic impact of air pollution empirically. METHODS AND FINDINGS: Using a series of nation-scale longitudinal surveys in 2011, 2013, and 2015, we first examined the questionnaire-based medical expenditure changes before and after the policy intervention for air pollution. Using a state-of-the-art estimator of the historical concentration of particulate matters with diameter less than 2.5 µm (particulate matter (PM)2.5), we further quantified the association between household medical expenditure and PM2.5 using mixed-effect models of the repeated measurements from 26,511 households in 126 cities. Regression models suggest a robust linear association between reduced PM2.5 and saved medical expenditures, since the association did not vary significantly across models with different covariate adjustments, subregions, or subpopulations. Each 10 µg/m3 reduction in PM2.5 was associated with a saving of 251.6 (95% CI: 30.8, 472.3; p-value = 0.026) Yuan in per capita annual medical expenditure. However, due to limitations in data quality (e.g., self-reported expenditures), and imperfect control for unmeasured confounders or impact from concurrent healthcare reform in China, the causality underlying our findings should be further confirmed or refuted. CONCLUSION: In this study, we observed that compared with the PM2.5 reduction in 2013, the PM2.5 reduction in 2017 was associated with a saving of 552 (95% CI: 68, 1036) Yuan / (person × year), or approximately 736 billion Yuan (equivalent to 111 billion US dollar) per year nationally, which is equivalent to approximately 1% of the national gross domestic product of China.

Leading determinants for multimorbidity in middle-aged Australian men and women: A nine-year follow-up cohort study.

Although socioeconomic, behavioural, psychological, and biological factors have been individually linked to multimorbidity, data on the importance of these factors are limited. Our study aimed to determine the leading predictors for multimorbidity of chronic conditions in middle-aged Australian adults using machine learning methods. We included 53,867 participants aged 45-64 years from the 45 and Up Study who were free of eleven predefined chronic conditions at baseline (2006-2009) in the analysis. Incident multimorbidity was defined by the co-existence of ≥2, ≥3, or ≥ 4 conditions during follow-up until December 31, 2016. The five leading predictors for multimorbidity in men were age (7.2-20.5% of total variance), body mass index (6.5-15.4%), smoking (4.0-8.3%), chicken intake (3.6-7.5%), and red meat intake (4.6-6.3%) across the three definitions. Leading predictors varied across the three definitions in women, but the four common ones were body mass index (6.3-20.1%), age (6.2-16.4%), chicken intake (4.1-8.3%), and red meat intake (4.2-4.7%). The ten leading modifiable health factors accounted for 39.4-46.1% of total variance across the three definitions. Men with 6-10 health factors had 46-54% lower risks for multimorbidity compared with those reporting ≤2. The corresponding percentage for women was 45-52%. Non-behavioural factors including psychological distress, low education and income and high relative economic disadvantage were among the leading risk factors for multimorbidity. In conclusion, modifications on behavioural factors including diets, physical activity, smoking, alcohol consumption may reduce the risk of multimorbidity in middle-aged adults, whereas individuals with low socioeconomic status or psychological distress are at the highest priority for intervention.

Changes in Sex Life among People in Taiwan during the COVID-19 Pandemic: The Roles of Risk Perception, General Anxiety, and Demographic Characteristics.

This study used data collected from an online survey study on coronavirus disease 2019 (COVID-19) in Taiwan to examine changes in sex life during the pandemic and the factors affecting such changes. In total, 1954 respondents were recruited from a Facebook advertisement. The survey inquired changes in sex life during the pandemic, including satisfaction with the individual's sex life, frequency of sexual activity, frequency of sex-seeking activity, and frequency of using protection for sex. The associations of change in sex life with risk perception of COVID-19, general anxiety, gender, age, and sexual orientation were also examined. For each aspect of their sex life, 1.4%-13.5% of respondents reported a decrease in frequency or satisfaction, and 1.6%-2.9% reported an increase in frequency or satisfaction. Risk perception of COVID-19 was significantly and negatively associated with frequencies of sexual and sex-seeking activities. Higher general anxiety was significantly and negatively associated with satisfaction of sex life and frequencies of sexual and sex-seeking activities. Sexual minority respondents were more likely to report decreased satisfaction with sex life and frequencies of sexual activity and sex-seeking activities during COVID-19. Health care providers should consider these factors when developing strategies for sexual wellness amid respiratory infection epidemics.

Host Genetic and Environmental Factors Shape the Composition and Function of Gut Microbiota in Populations Living at High Altitude.

The human gut microbiota is affected by genetic and environmental factors. It remains unclear how host genetic and environmental factors affect the composition and function of gut microbiota in populations living at high altitudes. We used a metagenome-wide analysis to investigate the gut microbiota composition in 15 native Tibetans and 12 Hans living on the Tibetan Plateau. The composition of gut microbiota differed significantly between these two groups (P < 0.05). The Planctomycetes was the most abundant phyla both in native Tibetans and in Hans. Furthermore, the most relatively abundant phyla for native Tibetans were Bacteroidetes (15.66%), Firmicutes (11.10%), Proteobacteria (1.32%), Actinobacteria (1.10%), and Tenericutes (0.35%), while the most relatively abundant phyla for Hans were Bacteroidetes (16.28%), Firmicutes (8.41%), Proteobacteria (2.93%), Actinobacteria (0.49%), and Cyanobacteria (0.21%). The abundance of the majority of genera was significantly higher in Tibetans than in Hans (P < 0.01). The number of microbial genes was 4.9 times higher in Tibetans than in Hans. The metabolic pathways and clusters of orthologous groups differed significantly between the two populations (P < 0.05). The abundance of carbohydrate-active enzyme modules and antibiotic resistance genes was significantly lower in Tibetans compared to Hans (P < 0.05). Our results suggest that different genetic factors (race) and environmental factors (diets and consumption of antibiotics) may play important roles in shaping the composition and function of gut microbiota in populations living at high altitudes.