With the rapid development of synthetic biology, genetic engineering, and molecular manipulation methods in recent years, microalgae, as representatives of microbial cell factories, have been widely used as hosts in the production of high-value bioproducts, such as oils, pigments, proteins, and biofuels, demonstrating promising prospects of application in biochemical energy, food and drugs, and environmental protection. Despite these advancements, the low production efficiency of microalgae limits their industrial application. In addition to strain improvement and culture condition optimization, the regulation by exogenous chemical additives serves as a promising optimization strategy. This method relies on straightforward phenotypic screening and circumvents the necessity for intricate understanding of molecular targets in the metabolic and catabolic pathways involved in the synthesis of bioproducts. It enables rapid yield increasing of high-value bioproducts from microalgae and obtaining the required phenotypes. Although studies have reported the use of alternatives means such as exogenous additives to improve the growth of microalgae and the yield of high-value bioproducts, the classification and summarization of the types, applications, targeted strains, and molecular mechanisms of these additives are not comprehensive. Here, we review the studies using chemical inducers or enhancers to improve cell growth and high-value bioproduct accumulation in microalgae in recent years. This paper focuses on the types of exogenous additives, the effects of exogenous additives and their combinations on microalgae growth and high-value bioproduct accumulation, and the molecular mechanisms of related effects. We aim to provide information for researchers to use methods of synthetic biology to develop suitable cell chassis and harness microalgae for industrial production.
Microalgae/drug effects* ; Biofuels

Objective: To investigate psychological and behavioral responses and the prevalence of acute stress disorder (ASD) among the injured from a serious road traffic accident. Methods: The injured persons at ages of 7 years and older from a serious road traffic accident were enrolled, and individuals with severe injury were exclude. Participants' gender, age, educational level, marital status, injury severity, family member's injury and death during the accident and psychological and behavioral status were collected. The prevalence of ASD was estimated using a semi-structured interview and the ASD Scale, and the factors affecting the development of ASD were identified using a multivariable logistic regression model. Results: A total of 132 survivors participated in psychological crisis assessment, including 82 men (62.12%) and 50 women (37.88%) and with a mean age of (46.50±18.57) years. There were 6 participants without obvious trauma (4.54%), 113 with mild injury (85.61%) and 13 with moderate injury (9.85%), and there were 6 participants with death of their family members during this accident. Insomnia, anxiety, flashback and fear were predominant psychological and behavioral responses, with prevalence rates of 42.42%, 35.58%, 26.52% and 23.48%, respectively. The prevalence of ASD was 30.30% among participants, and a higher rate of ASD was detected among women than among men (52.00% vs. 17.07%; χ2=17.940, P<0.001). The detection of ASD was higher among participants with death of their family members than among those without death of their family members (83.33% vs. 26.98%; χ2=8.370, P=0.004), and a higher detection rate of ASD was seen among participants with moderate injury (61.54%; χ2=6.786, P=0.034). Multivariable logistic regression analysis showed a higher risk of ASD among females (OR=7.764, 95%CI: 3.187-18.915) and those with a high educational level (high school/technical secondary school, OR=6.896, 95%CI: 1.030-46.152; diploma and above, OR=71.583, 95%CI: 4.145-1 236.270). Conclusions Insomnia and anxiety are predominant psychological and behavioral responses following serious road traffic accidents, and women and individuals with a high educational level present a high risk of ASD, which requires to be given timely psychological crisis interventions.

OBJECTIVE: To analyze the usage of mental health assistance hotline during COVID-19 in Zhejiang province from January 25th to February 29th 2020, and summarize the characteristics of the demand for mental health services and the dynamic changes of public mental health status during COVID-19 pandemic. METHODS: Both quantitative and qualitative methods were used. The calls related to pandemic were divided into four categories: medical, psychological, information and the others. The secondary categories of psychological calls were determined by text analysis. The number of calls were calculated weekly and the number of various types of calls over time were analyzed. We used stratified random sampling method to extract 600 cases of all kinds of calls related to pandemic and conducted a semantic analysis, through marking new, similar combination to form a feature set, then summed up the call content characteristics of each stage. Two hundred callers were followed up to understand how they felt about the call process in four aspects: the waiting time, call duration, the degree of problem-solving and the way to end the call. RESULTS: In a total of 13 746 calls, 8978 were related to pandemic, among which 12.59%(1130/8978) were about medical issues, 26.50%(2379/8978) were about mental health, 27.18%(2440/8978) were about information regarding the pandemic and 33.74%(3029/8978) were about other pandemic related issues. Pandemic situation, relevant policy release, frequency of advertising campaigns were predictors of the number of calls per day during the pandemic (<0.05 or <0.01). The number of calls differed by gender and identities of callers (both <0.05). Finally 181 callers accepted telephone follow-up. Among them, 51.38%(93/181) of the callers thought that the waiting time was too long, 33.15%(60/181) of the callers thought that the call time was insufficient, 80.66%(146/181) of callers believed that the hotline could partially or completely resolve their concerns, and 39.23%(71/181) of the callers said the operator proposed to end the call. CONCLUSIONS s The changes of the number and content of the mental health assistance hotline calls reflected that the public mental health status experienced four stages during the pandemic: confusion, panic, boredom, and adjustment. The specialized mental health assistance hotlines should be further strengthened, and the efficiency should be improved. Mental health interventions should be tailored and adopted according to the characteristics of the public mental health status at different stages of the pandemic.
China ; epidemiology ; Coronavirus Infections ; epidemiology ; Hotlines ; statistics & numerical data ; Humans ; Mental Health ; statistics & numerical data ; Pandemics ; statistics & numerical data ; Pneumonia, Viral ; epidemiology ; Public Health ; statistics & numerical data

Objective: To evaluate the false positive rate and false negative rate of the Chinese version of the 12-item General Health Questionnaire (GHQ-12) and the related factors in the epidemiological survey of mental ill-nesses in Zhejiang Province. Method: A total of 15000 subjects were randomly selected from the province-wide using multi-stage stratified cluster randomization. Analyses for this paper were made in the quality control sample,10% of the total 15000 subjects (1510 subjects) in which the Chinese version of Structured Clinical Interview for DSM-Ⅳ Axis Ⅰ Disorders (SCID) was used as a golden criterion, and a cutoff score of the GHQ-12 was set to ≥ 3 to define GHQ-12 cases. Results: Totally 1449 subjects (96.0%) completed both the GHQ-12 and the SCID. Adjusted for sampling effects, the false positive and negative rates of the GHQ-12 were respective 14.6% and7.8%. Adjusted for other considered correlates and sampling effects, the adjusted odds ratios (AORs) of GHQ-12 false positive with living in less economically developed urban areas (urban type Ⅱ), with self-reportedly poor physical health, with having ever sought help because of mental problems and with being currently married/co-habited were respective 2.23 (95% CI:1.24～4.01), 2.36(1.36～4.10), 1.53 (1.10～2.14) and 0.51 (0.30～0.86) while AORs of GHQ-12 false negative with being aged 35～49 year group and living in less econom-ically developed rural areas (rural type Ⅲ) were respective 2.59 (1.18～5.67) and 2.72 (1.21～6.14). Conclusion:Factors related to the GHQ-12 false positive and negative are different. The cutoff scores of the GHQ-12 should be used based on the characteristics of subjects during identifying or screening mental illnesses.