Wei Wen Ong

Nanyang Technological University

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Celest Lixuan Phang

Nanyang Polytechnic

Ong Si Yi Shirley

Nanyang Technological University

Marek Mutwil

Nanyang Technological University

Teffarina Tay Hui Wen

Nanyang Polytechnic

M. S. Chee

Nanyang Polytechnic

Ann Don Low

Nanyang Technological University

P. K. W. Ng

Michigan State University

Sriya Mulupuri

Nanyang Technological University

Valerie Teo Fang Wei

Nanyang Polytechnic

Lee Wan Xuan Trena

Nanyang Technological University

Cooperative Institutions

Nanyang Technological University

111

Nanyang Polytechnic

106

National University of Malaysia

University Kebangsaan Malaysia Medical Centre

Centre National de la Recherche Scientifique

University of Cambridge

National Taiwan University

Universidade de São Paulo

Chinese University of Hong Kong

National Institutes of Biotechnology Malaysia

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Transfatty acid content in Malaysian supermarket foods: a field-to-laboratory approach in assessing food risk

Food Additives & Contaminants Part A (2014)

Tilakavati Karupaiah Hui Kuen Tan Wei Wen Ong Choon Heen Tan Kalyana Sundram

The extent of industrial trans fatty acids (TFA) in the food supply is unknown in Malaysia, whilst TFA disclosure on food labels is not mandatory by Malaysian food standards. Supermarket foods such as dairy products, fats and oils, meat products, snack foods, soups, and confectionery are commonly cited to be major contributors of TFA in the diet. A consumer survey (n = 622) was used to develop a food listing of these 'high risk' foods. TFA content of high-risk foods were analysed by gas chromatography. Food samples (n = 158) were analysed and their total TFA content were compared with Malaysian Food Standards. A wide variation in TFA content within food categories was indicated. Of the foods containing TFA, many food labels did not cite TFA content or the use of partially hydrogenated vegetable oils (PHVO) as an ingredient. Hypothesised estimates of TFA intake from these supermarket foods in a sample day's menu providing 2000 kcal projected a minimum intake of 0.5 g and a maximum intake of 5.2 g TFA. This study found there was no voluntary disclosure of TFA content on food labels or identifying PHVO as an ingredient. It appears that health education targeting consumers to minimise TFA consumption is required supported by mandatory PHVO disclosure on the food label.

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Trans fat

Food Products

10.1080/19440049.2014.929183

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Physical Activity Pattern of Malaysian Preschoolers

Asia Pacific Journal of Public Health (2016)

Shoo Lee Jyh Eiin Wong Wei Wen Ong Mohd Noor Ismail Paul Deurenberg

Children's physical activity has been correlated with child characteristics and social or physical environment. This study aimed to compare preschoolers' physical activity among various sociodemographic characteristics and to determine barriers, motivators, and environmental factors for active play. A total of 835 preschoolers were included in this analysis. Time spent on active play, quiet play, and screen time was reported by parents. Boys spent significantly more time on active play and screen time than girls. Time spent on quiet play was highest in East Coast Peninsular Malaysia and lowest in Sarawak. Some 40% of children achieved active play recommendation while 27% exceeded daily screen time recommendation. Most parents reported that their child played actively in the house area; and that the main barrier and motivator to active play were safety and child's enjoyment, respectively. These findings demonstrate that sociodemographic characteristics and environment should be considered in designing physical activity intervention programs.

10.1177/1010539516638155

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LSTrAP-Crowd: Prediction of novel components of bacterial ribosomes with crowd-sourced analysis of RNA sequencing data

bioRxiv (Cold Spring Harbor Laboratory) (2020)

Benedict Hew Qiao Wen Tan William Goh Jonathan Wei Xiong Ng Kenny Ting Sween Koh

Abstract Bacterial resistance to antibiotics is a growing problem that is projected to cause more deaths than cancer in 2050. Consequently, novel antibiotics are urgently needed. Since more than half of the available antibiotics target the bacterial ribosomes, proteins that are involved in protein synthesis are thus prime targets for the development of novel antibiotics. However, experimental identification of these potential antibiotic target proteins can be labor-intensive and challenging, as these proteins are likely to be poorly characterized and specific to few bacteria. In order to identify these novel proteins, we established a Large-Scale Transcriptomic Analysis Pipeline in Crowd (LSTrAP-Crowd), where 285 individuals processed 26 terabytes of RNA-sequencing data of the 17 most notorious bacterial pathogens. In total, the crowd processed 26,269 RNA-seq experiments and used the data to construct gene co-expression networks, which were used to identify more than a hundred uncharacterized genes that were transcriptionally associated with protein synthesis. We provide the identity of these genes together with the processed gene expression data. The data can be used to identify other vulnerabilities or bacteria, while our approach demonstrates how the processing of gene expression data can be easily crowdsourced.

Identification

RNA-Seq

10.1101/2020.04.20.005249

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