OBJECTIVE: Previous studies suggest child abuse and serotonergic polymorphism influence depression susceptibility and anti-depressant efficacy. Polymorphisms of the norepinephrine transporter (NET) may also be involved. Research in the area is possibly clouded by under reporting of abuse in researcher trials. METHODS: Adults (n=51) with major depressive disorder has 8 weeks treatment with escitalopram or venlafaxine. Abuse history was obtained, the ongoing emotional impact of which was measured with the 15-item impact of event scale (IES-15). The 17-item Hamilton Depression Rating Scale (HDRS) was applied serially. Two NET polymorphisms (rs2242446 and rs5569) were assayed, blinded to HDRS ratings and abuse history. RESULTS: No subjects reporting abuse with high impact in adulthood (IES-15 > or =26, n=12) remitted; whereas 77% reporting low impact (IES-15 <26; n=26) remitted (p<0.001). Subjects reporting high impact abuse (n=12) had a 50-fold (95% confidence interval=4.85-514.6) greater odds of carrying rs2242446-TT genotype, but the small sample size leaves this finding vulnerable to type I error. CONCLUSION: The level of persisting impact of child abuse appears relevant to antidepressant efficacy, with susceptibility to such possibly being influence by NET rs2242446 polymorphism. Larger studies may be merited to expand on this pilot level finding given potential for biomarker utility.
Adult ; Antidepressive Agents ; Child ; Child Abuse* ; Citalopram ; Depression* ; Depressive Disorder, Major ; Genetic Variation* ; Genotype ; Humans ; Norepinephrine Plasma Membrane Transport Proteins* ; Pilot Projects* ; Sample Size ; Venlafaxine Hydrochloride

INTRODUCTION: Dengue continues to be a major health concern in the Philippines. This study aimed to establish trends and correlations between the incidence of dengue and rainfall, humidity and temperature, respectively, in the different regions. METHODS: Using 2018 records obtained from DOH and PAGASA, correlations were made between monthly measurements of climatic factors and the incidence of dengue using Pearson’s r, while maps and interpolations were generated using quantum geographical information system software. RESULTS: There was a significant positive but weak correlation between the incidence of dengue and rainfall (r = 0.379, 95% CI 0.255, 0.491; p < 0.001) and humidity (r = 0.215, 95% CI 0.080, 0.342; p = 0.002). There was a significant negative but weak correlation between the incidence of dengue and temperature (r = -0.145, 95% CI -0.277, -0.008; p = 0.039). A strong positive correlation was noted between the incidence of dengue, and rainfall and humidity, respectively, in several regions. Multiple regression indicates that rainfall, humidity and temperature are poor predictors of the incidence of dengue (R2 = 0.1436, 0.0461 and 0.0209, respectively). CONCLUSION This study showed overall a significant but weak correlation between an increased incidence of dengue and heavy rainfalls and high relative humidity, and a weak negative correlation for temperature. A high positive correlation of an increased incidence of dengue and heavy rainfalls and high relative humidity was observed in several regions.
Dengue ; humidity ; temperature