Background: Dengue is endemic in the Philippines. Aedes aegypti is the primary vector. This study aimed to determine the hatching behavior and viability of Ae. aegypti first-generation (F1) eggs when exposed to temperature and photoperiod regimes under laboratory conditions.
Methods: Parental eggs were collected from selected highland and lowland sites in the Philippine big islands (Luzon, Visayas, and Mindanao) during the wet (2017-2018) and dry (2018) seasons. F1 egg cohorts were exposed separately in environmental chambers at 18, 25, and 38 °C with respective photoperiods for 6 weeks. Phenotypes (percent pharate larvae [PPL], hatch rates [HRs], and reproductive outputs [ROs]) were determined.
Results: Results of multivariate analyses of variance (MANOVA) between seasons showed significant main effects of temperature, season, and big island on all phenotypes across all sites. Significant interaction effects between seasons on all phenotypes across sites were shown between or among (1) season and big island, (2) season and temperature, (3) big island and temperature, (4) season, big island, and temperature, (5) big island, altitude, and temperature, and (6) season, big island, altitude, and temperature. Factors associated with the big islands might include their ecology, available breeding sites, and day lengths due to latitudinal differences, although they were not measured in the field. MANOVA results within each season on all phenotypes across sites showed (1) significant main effects of big island and temperature, and (2) significant interaction effects between big island and temperature within the wet season and (3) between temperature and photoperiod within the dry season. PPL were highest at 18 °C and were formed even at 38 °C in both seasons. Pharate larvae might play an adaptive role in global warming, expanded distribution to highlands, and preponderance to transmit human diseases. HRs in both seasons were highest at 25 °C and lowest at 38 °C. ROs were highest at 25 °C in the wet season and at 18 °C in the dry season.
Conclusions: Temperature and latitude of Philippine big islands influenced the development-related phenotypes of Ae. aegypti in both seasons. The two seasons influenced the phenotypes and their interaction effects with big island and/or temperature and/or altitude. Recommendations include year-round enhanced 4S control strategies for mosquito vectors and water pipeline installation in rural highlands.
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http://dx.doi.org/10.1186/s13071-022-05186-x | DOI Listing |
Chin Med J (Engl)
December 2024
Guangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, Guangdong 510530, China.
Background: Retinal ganglion cell (RGC) death caused by acute ocular hypertension is an important characteristic of acute glaucoma. Receptor-interacting protein kinase 3 (RIPK3) that mediates necroptosis is a potential therapeutic target for RGC death. However, the current understanding of the targeting agents and mechanisms of RIPK3 in the treatment of glaucoma remains limited.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Division of Developmental Biology & Medicine, Faculty of Biology, Medicine, and Health, School of Biological Sciences, The University of Manchester, Manchester, UK.
Complex direct and indirect relationships between multiple variables, termed higher order interactions (HOIs), are characteristics of all natural systems. Traditional differential and network analyses fail to account for the omic datasets richness and miss HOIs. We investigated peripheral blood DNA methylation data from Kabuki syndrome type 1 (KS1) and control individuals, identified 2,002 differentially methylated points (DMPs), and inferred 17 differentially methylated regions, which represent only 189 DMPs.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
Health Data Analytics and Statistics Center, Office of Data Science, Taipei Medical University, New Taipei City, Taiwan.
Importance: Anorexia nervosa (AN) is commonly associated with cardiovascular complications.
Objective: To investigate the trajectories of the risk of cardiovascular conditions in a nationwide cohort of patients with AN in Taiwan.
Design, Setting, And Participants: From a population-based health insurance database from January 1, 2011, to December 31, 2021, this longitudinal cohort study identified patients with AN and controls through propensity score matching at a 1:10 ratio according to sex, age, urbanization level of residence, socioeconomic status, and year of diagnosis.
Rev Panam Salud Publica
December 2024
The University of the West Indies at Cave Hill Bridgetown, Saint Michael Barbados The University of the West Indies at Cave Hill, Bridgetown, Saint Michael, Barbados.
The widespread digitization of information, advances in data processing and the emergence of internet-connected devices have led to a proliferation of data, often loosely referred to as big data. With this digital transformation, offering open data - that is, data freely available for modification and reuse - has emerged as a key strategy for encouraging transparency and innovation. Data reuse holds particular importance in the small island developing states of the Caribbean, which have a limited resource pool from which to tackle the landscape of social priorities.
View Article and Find Full Text PDFCancer Med
December 2024
Department of Urology, Hirosaki University School of Medicine, Hirosaki, Japan.
Objective: We aimed to examine trends in novel antiandrogen receptor signal inhibitor (ARSI) usage and medical costs by collecting real-world big data included in The National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB) Open Data, covering most of the clinical practices throughout Japan.
Methods: Usage data for outpatient prescriptions from 2016 to 2021 were extracted from the NDB Open Data. Among the 459,610 million tablets/capsules prescribed, prostate cancer-specific agents (bicalutamide, estramustine phosphate, flutamide, abiraterone, enzalutamide, apalutamide, and darolutamide) were selected to investigate the trends of usage and medical costs.
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