Custer Deocaris’s research while affiliated with Philippine Nuclear Research Institute and other places

Background Developing new COVID-19 antivirals requires understanding viral proteins, oxidative stress, and drug repositioning. Safety assessments of organochalcogen molecules derived from AZT in Caenorhabditis elegans offer promising prospects for new treatments. Objective In this work, we evaluated the safety and antioxidant effect of eight organochalcogen AZT-derivatives using the free-living nematode C. elegans through chronic exposure [48h]. In addition, we used in silico computational modelling analyses to predict protein targets for these compounds. Methods This study used survival, litter size, brood size as toxicological and safety parameters, subcellular localization of DAF-16, expression of SOD-3 and GST-4, and ROS levels to evaluate the antioxidant effects and target prediction by similarity set approach [SEA], protein-protein interaction [PPI] network analysis, and comparative phylogenetic analysis to predict protein targets for these compounds. Results The molecules were safe at concentrations of 1-500 μM. AZT, R3a, and R3f promoted DAF-16 nuclear translocation without affecting SOD-3 levels. R3f reduced GST-4 levels, while R3a increased ROS levels. In silico analyses identified 16 human protein targets of AZT and its derivatives, linked to nucleotide metabolism, DNA replication, and anti-inflammatory pathways, showing high homology to C. elegans. Conclusion We hypothesize that Se and Te atom insertion may alter pharmacological properties by modulating DAF-16, GST-4, and ROS-related pathways. in silico data suggest these derivatives are promising for antiviral activity, targeting nucleotide metabolism and DNA replication while also potentially modulating the anti-inflammatory response, an appealing feature for COVID-19 treatment.

The Philippines is the second biggest source of skipjack tuna (Katsuwonus pelamis), contributing to the country’s economic development. However, its sustainability faces challenges due to overfishing and a lack of proper management practices. Otoliths are important tools for managing fish stocks, but their analysis is time-consuming and requires a high level of expertise. In this paper, we explored the use of convolutional neural networks (CNNs) to recognize patterns and classify them according to developmental stages. The results showed that the CNN model achieved an accuracy of 100% in classifying otoliths by developmental stage using the RMSprop optimizer, demonstrating the potential of deep learning to provide a standardized and reliable protocol for managing fish stocks in countries like the Philippines, where there is a shortage of trained fish experts. This study provides an innovative approach to guide future efforts in conserving fish populations and promoting sustainable fishing practices.

One of the industrialized cities in the Philippines is Meycauayan, Bulacan. This study reports the elemental distribution and source apportionment in eight varying land cover-land use type sampling points located along the Marilao-Meycauayan- Obando Rivers System. Elemental analysis was conducted using a scanning electron microscope coupled with energy dispersive x-ray. Cu, Pb, Zn, Cr, Mn, As, Cd, Co, Fe, Ni, Ti, and V concentrations were determined using Inductively Coupled Plasma Mass Spectrometry, and Hg concentrations by Mercury analyzer. Principal component analysis (PCA), hierarchical cluster analysis (HCA), and Pearson's r correlation were used to analyze different sources of heavy metals and its corresponding land use-land cover type. The aerosol samples showed the presence of heavy metals Pb and Hg, elements that were also detected in trace amounts in the water measurements. Concentrations of heavy metals such as Cu, Fe, Pb, Zn, V, Ni, and As found in the atmospheric aerosols and urban dusts were attributed to anthropogenic sources such as residential, commercial and industrial wastes. Other source of aerosols in the area were traffic and crustal emissions in Meycauayan. Using HCA, there are 3 clusters observed based on the similar sets of heavy metals: (1) AQS1 (Caingin), AQS2 (Banga), and AQS8 (Malhacan); (2) AQS3(Calvario), AQS4 (Camalig), and AQS5(Langka); (3) AQS1(Sto Nino-Perez), and (AQS7) (Sterling). These groups are related based on different land use setting such as residential/commercial, agricultural, and commercial/industrial areas. Our study recommends the need to address heavy metal pollution in Meycauayan in support to the ongoing implementation of laws and regulations by the local and private sectors.

Phenotypic screening in plant breeding is essential for identifying superior mutant lines for ornamental plant variety development. However, the process is tedious and time-consuming involving both qualitative and quantitative methods. To fast-track phenotypic screening, artificial intelligence (AI) presents a promising tool with higher efficiency and minimal standard error in identifying mutant lines for registration. Thus, in this study, an algorithm for classifying novel ornamental plant varieties is proposed. After training a convolutional neural network (CNN) model with the images of radiation mutant BG regale and control, Sansevieria rorida, comparisons of model loss and accuracy were done with Adam, SGD, RMSprop, and Adadelta optimization techniques. Among the optimization techniques, RMSProp achieved the lowest model loss (3.68%), the highest accuracy (98.44%), precision (98.44%), recall (98.39%), and F1-score (98.39 %). In this “proof-of-concept” study on the Philippines’ PHP 10 M (equivalent to USD 178,700; PHP 1 = USD 55.96) BG Regale, one of the world’s most expensive ornamental plants, we introduce the idea of AI-aided facilitation of large-scale phenotype selection during mutation breeding and varietal screening for SEPOPs (or super-expensive Philippine ornamental plants priced at more than PHP 100,000 per leaf).

This paper focuses on the application of principal component analysis (PCA) to conduct a source apportionment of atmospheric aerosols from 8 sampling locations along the Marilao-Meycauayan-Obando River System (MMORS). Aerosols were collected on May 2016 during the same time that water samples were collected. Elemental analysis was conducted using a scanning electron microscope coupled with energy dispersive x-ray (SEM-EDX). Carbon (C), nitrogen (N), oxygen (O), sodium (Na), magnesium (Mg), aluminum (Al), silicon (Si), sulfur (S), chlorine (Cl), potassium (K), calcium (Ca), titanium (Ti), manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), bromine (Br), niobium (Nb), barium (Ba), mercury (Hg), and lead (Pb) concentrations were measured and used as inputs in Principal Component Analysis (PCA). The aerosol samples showed the presence of heavy metals Pb and Hg, elements that were also detected in trace amounts in the water measurements. Concentrations of heavy metals Fe, Pb, Hg in the aerosols were attributed to industrial sources. However, it was determined that the primary source of aerosols in the area were traffic and crustal emissions (C, N, O, Si, Al, Ca). Thus, control of traffic emissions would be more beneficial in reducing aerosol emissions in Meycauayan.

Urban air quality is increasingly being studied as a fraction of the world’s population is living in megacities. In this study, particulate matter (PM) along Taft Avenue, Manila, the Philippines, is investigated in terms of its ability to induce genetic damage in human peripheral blood lymphocytes (PBLs). Size-segregated roadside air samples were obtained from 2015–2017 near a university gate and analyzed using in vitro micronucleus (MN) and cytokinesis-block proliferation tests. While cellular proliferation was unaffected by 0–0.1 kg/m³ of PM1.0 and PM2.5, PBL cells treated with PM2.5 displayed a significantly higher micronucleus count (p = 0.03) compared to the cells treated with PM1.0. Atomic absorption spectroscopy revealed greater amounts of Cd, Ca, Pb, K, Na, and Zn in PM2.5 compared to PM1.0. The results indicate that the differences in composition of the two size fractions of air particulates are associated with their genotoxicities.

Urban air quality is increasingly being studied as a fraction of the world's population is now living in megacities. In this study, particulate matter (PM) along Taft Avenue, Manila, Philippines, is investigated in terms of its ability to induce genetic damage on human peripheral blood lymphocytes (PBL). Size-segregated roadside air samples were obtained from 2015-2016 near the university gate and analyzed using in vitro micronucleus and cytokinesis-block proliferation tests. While cellular proliferation was unaffected by 0 – 0.1 kg·m-3 of PM1.0 and PM2.5, PBL cells treated with PM2.5 displayed significantly higher micronucleus count (p = 0.03) compared to the cells treated with PM1.0. Atomic Absorption Spectroscopy revealed greater amounts of Cd, Ca, Pb, K, Na, and Zn in PM2.5 compared to PM1.0. The results indicate the differences in composition of the two size fractions of air particulates are associated with their genotoxicities.

Recent work on heavy metal pollution in Manila Bay suggests elevated concentration in the surface sediments. It is critical to identify the sources of these heavy metals to effectively rehabilitate the bay. Our study investigated the sources of the heavy metal pollution that ended up in Manila Bay and the risks associated with these toxic metals based on a recent survey conducted. Surface sediment samples with higher heavy metal concentrations were found in the upper to middle parts of the bay while lower concentrations were in the southeast areas. Multivariate analyses such as hierarchical cluster analysis (HCA), principal component analysis (PCA), and Pearson correlation analysis were used to identify the sources of the heavy metals. The heavy metal pollution in Manila Bay is attributed to several rivers draining northeast of Manila Bay, particularly the Marilao-Meycauayan-Obando River System (MMORS) which is cited as one of the 30 dirtiest river systems in the world. The ecological risks associated with heavy metals in the sediments found higher incidences of toxicity in north and middle parts of Manila Bay. Cu and Cr posed the highest risks of toxicities than any other heavy metals. Based on our analysis, the counterclockwise water gyre of the bay can explain the distribution and ecological risks associated with the heavy metals as supported by the findings of the PCA. Given the high priority by the Philippine government to rehabilitate the bay, our study strongly shows that efforts to restore the ecological status of Manila Bay will only succeed if the pollution from major rivers draining to it will be properly addressed.

Among the risk factors for HPV-driven head and neck squamous cell carcinoma (HNSCC) are the higher number of oral-sex or oral-anal sex partners. The mounting reports of increasing rates of tonsillar and tongue cancers among husbands of women with invasive or in situ cervical cancers indicates oral sex association in HPV-driven HNSCC, especially oropharyngeal cancer. Thus, in the light of the etiology of HPV-driven HNSCC arising from oral sex, we propose the protective role played by a religious view of sex-one that is purely for procreation within the marital bond and not simply for bodily pleasures. It is vital to validate this hypothesis in the Philippines, which may also apply to other countries with a similar cultural pattern. Given permissive trends, it stands to reason that oral sex, being part of the youth's standard sexual script, may drive the rise of HPV-driven HNSCC in the years to come. Since the engagement in oral sex among adolescents is not without health risk, leveling up the discussion of oral sex as a public and medical health issue is vital. Our recommendations include urgent discussions among policymakers, clinicians, and the public on promoting vaccination of young adults, male or female, against HPV before sexual debut. Further, the Catholic Church should ensure that the sex education programs it offers to the youth must integrate the moral and spiritual aspects of sexual behavior with contentious issues on sexuality including the danger and consequences of sexual behaviors such as oral sex.

The City of Meycauayan is considered as one of the most polluted cities in the developing world on the account of industrial discharges of toxic materials to the environment. This work investigated the sources of the heavy metal pollution by analyzing soil and sediment samples for heavy metals (Cr, Hg, Ni, and Pb) together with selected environmental indicators (TN, TOM, and TP) located along the Meycauayan River. Hierarchical cluster analysis (HCA), principal components analysis (PCA), and Pearson correlation analysis (CA) were used to identify the sources of the metals. Results showed delineated locations of severe levels of heavy metal pollution downstream because of the concentration of industrial activities. Cr contributed more than any other heavy metals analyzed due to proliferation of tanneries discharging untreated wastewaters to the river. Significant inputs of Pb and Hg from Pb-acid battery recycling and gold smelting industries were also found. Risk assessments indicated severe levels of heavy metal pollution where industrial activities are concentrated. The mean Cr, Pb, Ni, and Hg in the sampling locations have mean incidences of toxicity of 91.7 %, 53.6 %, 27.7 %, and 70.0 %, respectively. Our study showed a serious need to address heavy metal pollution in Meycauayan.