Payap University

Pesticide exposure might be an important risk factor for sleep disorders, however current epidemiological evidence is limited. The main objective of this study was to determine the association between historical use of pesticides and sleep disorders. Data on the historical use of 38 individual pesticides of almost thirty thousand Thai farmers were collected using questionnaire method. This information was linked to medically diagnosed sleep disorders using a multivariable logistic regression. The study found a positive association of 19 individual pesticides (twelve insecticides, two herbicides, and five fungicides). Some associations demonstrated a dose-response pattern. Additionally, the study revealed that women are at a higher risk of sleep-related issues with pesticide exposure compared to males. These results not only substantiate existing literature but also unveil several new individual pesticides that may impact sleep health. Sleep health should receive more attention, as it can contribute to various diseases and significantly impact the overall well-being of individuals.

This study provides a rapid and accurate method for screening steroid 5-alpha reductase (S5αR) inhibitors in Impatiens balsamina Linn (IB). using at-line LC-QTOF-ESI-MS/MS coupling S5αR inhibitory assay. IB (Balsaminaceae) is an annual herbaceous plant cultivated in tropical and subtropical regions. It has been used in traditional Chinese and Thai medicine for treatment of hair loss and various skin conditions, potentially through anti-androgenic mechanisms. A combined approach of S5αR inhibitory assay and LC-QTOF-ESI-MS/MS was developed to rapidly screen for target biomarkers and guide their isolation using preparative HPLC. The toxicity of both the extract and isolated biomarkers was evaluated on skin cells, keratinocytes, and fibroblasts. Eight bioactive compounds were identified as two naphthoquinone, two fatty acid derivatives, three nitrogenous compounds and one aromatic derivative. The most potent bioactive markers, identified as 2-methoxy-1,4-naphthoquinone (2MN) and impateinol, were targeted and isolated using preparative HPLC, yielding 5.0 % and 3.5 %, respectively. These compounds exhibited S5αR inhibitory activity higher than that of finasteride drug by 10 and 2 times, respectively. Both the isolated biomarkers and the extract demonstrated a broad therapeutic index. The developed method in this study proved to be both rapid and accurate, making it suitable for screening and targeting S5αR inhibitors in herbal plants or complex matrix samples. It facilitated the fast-guided isolation of bioactive compounds, highlighting its potential for future applications in drug discovery research.

Although identifying human skin types is essential in dermatology, cosmetology, and facial recognition, the classification of human skin types is challenging due to the complex nature, varied characteristics, and the influence of external factors. Traditional methods for skin type identification often rely on subjective assessments, leading to inconsistent and inaccurate results. Therefore, this paper proposes a novel method named a distance-based integration method to identify skin types based on the Fitzpatrick skin scale, also known as the Fitzpatrick skin type. This study focuses on the objective distance measurement, integrated with the Fuzzy Analytic Hierarchy Process (AHP). The objective distance was utilized to determine the distance between each HEX color code for a clinical image and each target skin type. The Fuzzy AHP algorithm was employed to calculate the total score for each target class to identify human skin type. For this study, 1,022 images of human skin were used in the experiment. The results indicated that the proposed method achieved a high average accuracy of 93 %, precision of 80 %, and specificity of 96 %.