1.Risk Assessment for Ramadan Fasting in People With Diabetes in Hospital-Based Diabetes Clinics Using the Updated 2026 IDF-DAR Risk Calculator
Raja Nurazni Raja Azwan ; Chin Voon Tong ; Lisa Mohamed Nor ; Marisa Khatijah Borhan ; Syarifah Syahirah Syed Abas ; Poh Shean Wong ; Ying Jie Tan ; Shartiyah Ismail ; Eunice Yi Chwen Lau ; Yueh Chien Kuan ; Noor Hafis Md Tob ; Shu Teng Chai ; Pei Lin Chan ; Xe Hui Lee ; Wei Wei Ng ; Jin Hui Ho ; Miza Hiryanti Zakaria ; Rabeah Md Zuki ; Wan Mohd Hafez Wan Hamzah ; Melissa Vergis ; Choon Peng Sun ; Vanusha Devaraja Pillai ; Chee Koon Low ; Shazatul Reza Mohd Redzuan ; Xin-Yi Ooi ; Siti Sanaa Wan Azman ; Deviga Lachumanan ; Saiful Shahrizal Shudim ; Zanariah Hussein
Journal of the ASEAN Federation of Endocrine Societies 2026;41(S1):42-43
Introduction:
The 2021 IDF-DAR risk calculator had been previously
evaluated in multiple studies and subsequently widely
accepted and applied in clinical practice as a practical
standardized tool for patient risk stratification. Recently
updated, the 2026 IDF-DAR Risk calculator enables a more individualized, evidence-related evaluation of patientrelated and disease-related risk factors, incorporating
modern diabetes technologies, including continuous
glucose monitoring (CGM), automated insulin delivery
(AID) systems, and advanced insulin formulations to
enhance risk stratification. This tool allows medical
professionals to tailor Ramadan practices based on overall
factors toward promoting safe fasting.
Methodology:
This prospective multicentre observational study recruited
adults with Type 1 and Type 2 diabetes attending public
hospitals nationwide. People with diabetes (PwD) intending
to perform Ramadan fasting were invited to participate
and assessed using the 2026 IDF-DAR Risk Calculator in
the 6-week pre-Ramadan period between 30th January and
19th March 2026.
Results:
A total of 458 PwD were evaluated and stratified into low
(15.7%), moderate (41%), and high risk (43.3%) categories.
Most participants had Type 2 diabetes (83.6%), with 60.3%
having a disease duration exceeding 10 years and 43%
exhibiting poor glycemic control (hemoglobin A1c >9%).
Insulin therapy was used by 76.4% of participants, including
two individuals with Type 1 diabetes using AID systems.
Most participants reported no recent hypoglycemia (76.4%),
81.0% performed glucose monitoring, and 3.3% used CGM.
Severe comorbidities were uncommon, with 1.1% having
unstable macrovascular disease and 4.4% advanced chronic
kidney disease (estimated glomerular filtration rate <30).
Notably, 72.2% received structured Ramadan education.
Conclusion
Majority of PwD attending tertiary diabetes clinics were
in the moderate- to high-risk category and intended to
fast despite medical advice against fasting in some cases.
Although most participants were on insulin therapy,
hypoglycemia was low in the pre-Ramadan period.
Integration of modern technologies, advanced insulin
therapies, and structured education may support safer
fasting practices.
Risk Assessment
;
Diabetes Mellitus
;
Hospitals
;
Fasting
2.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
3.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
4.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
5.Identification and Potential Clinical Utility of Common Genetic Variants in Gestational Diabetes among Chinese Pregnant Women
Claudia Ha-ting TAM ; Ying WANG ; Chi Chiu WANG ; Lai Yuk YUEN ; Cadmon King-poo LIM ; Junhong LENG ; Ling WU ; Alex Chi-wai NG ; Yong HOU ; Kit Ying TSOI ; Hui WANG ; Risa OZAKI ; Albert Martin LI ; Qingqing WANG ; Juliana Chung-ngor CHAN ; Yan Chou YE ; Wing Hung TAM ; Xilin YANG ; Ronald Ching-wan MA
Diabetes & Metabolism Journal 2025;49(1):128-143
Background:
The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications.
Methods:
We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants.
Results:
Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals.
Conclusion
Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.
6.Genomics-driven derivatization of the bioactive fungal sesterterpenoid variecolin: Creation of an unnatural analogue with improved anticancer properties.
Dexiu YAN ; Jemma ARAKELYAN ; Teng WAN ; Ritvik RAINA ; Tsz Ki CHAN ; Dohyun AHN ; Vladimir KUSHNAREV ; Tsz Kiu CHEUNG ; Ho Ching CHAN ; Inseo CHOI ; Pui Yi HO ; Feijun HU ; Yujeong KIM ; Hill Lam LAU ; Ying Lo LAW ; Chi Seng LEUNG ; Chun Yin TONG ; Kai Kap WONG ; Wing Lam YIM ; Nikolay S KARNAUKHOV ; Richard Y C KONG ; Maria V BABAK ; Yudai MATSUDA
Acta Pharmaceutica Sinica B 2024;14(1):421-432
A biosynthetic gene cluster for the bioactive fungal sesterterpenoids variecolin ( 1) and variecolactone ( 2) was identified in Aspergillus aculeatus ATCC 16872. Heterologous production of 1 and 2 was achieved in Aspergillus oryzae by expressing the sesterterpene synthase VrcA and the cytochrome P450 VrcB. Intriguingly, the replacement of VrcB with homologous P450s from other fungal terpenoid pathways yielded three new variecolin analogues ( 5- 7). Analysis of the compounds' anticancer activity in vitro and in vivo revealed that although 5 and 1 had comparable activities, 5 was associated with significantly reduced toxic side effects in cancer-bearing mice, indicating its potentially broader therapeutic window. Our study describes the first tests of variecolin and its analogues in animals and demonstrates the utility of synthetic biology for creating molecules with improved biological activities.
7.Safety attitudes, burnout and well-being among healthcare workers during the COVID-19 pandemic: an Indo-Pacific regional cross-sectional study.
Abhiram KANNEGANTI ; Benjamin Yong Qiang TAN ; Nik Hisamuddin NIK AB RAHMAN ; Aloysius Sheng-Ting LEOW ; Max DENNING ; Ee Teng GOH ; Lucas Jun HAO LIM ; Ching-Hui SIA ; Ying Xian CHUA ; James KINROSS ; Melanie TAN ; Li Feng TAN ; Yi Min WAN ; Arvind SHARMA ; Rivan DANUAJI ; R N KOMAL KUMAR ; Chew Keng SHENG ; Cheah Phee KHENG ; Sarah Shaikh ABDUL KARIM ; Mohd Najib ABDUL GHANI ; Suhaimi MAHMUD ; Yiong Huak CHAN ; Vijay Kumar SHARMA ; Kang SIM ; Shirley Beng SUAT OOI
Singapore medical journal 2023;64(11):667-676
INTRODUCTION:
The coronavirus disease 2019 (COVID-19) pandemic has had an unprecedented impact in Asia and has placed significant burden on already stretched healthcare systems. We examined the impact of COVID-19 on the safety attitudes among healthcare workers (HCWs), as well as their associated demographic and occupational factors, and measures of burnout, depression and anxiety.
METHODS:
A cross-sectional survey study utilising snowball sampling was performed involving doctors, nurses and allied health professions from 23 hospitals in Singapore, Malaysia, India and Indonesia between 29 May 2020 and 13 July 2020. This survey collated demographic data and workplace conditions and included three validated questionnaires: the Safety Attitudes Questionnaire (SAQ), Oldenburg Burnout Inventory and Hospital Anxiety and Depression Scale. We performed multivariate mixed-model regression to assess independent associations with the SAQ total percentage agree rate (PAR).
RESULTS:
We obtained 3,163 responses. The SAQ total PARs were found to be 35.7%, 15.0%, 51.0% and 3.3% among the respondents from Singapore, Malaysia, India and Indonesia, respectively. Burnout scores were highest among respondents from Indonesia and lowest among respondents from India (70.9%-85.4% vs. 56.3%-63.6%, respectively). Multivariate analyses revealed that meeting burnout and depression thresholds and shifts lasting ≥12 h were significantly associated with lower SAQ total PAR.
CONCLUSION
Addressing the factors contributing to high burnout and depression and placing strict limits on work hours per shift may contribute significantly towards improving safety culture among HCWs and should remain priorities during the pandemic.
Humans
;
Cross-Sectional Studies
;
Pandemics
;
COVID-19/epidemiology*
;
Burnout, Psychological
;
Health Personnel
8.Small molecule proteomics quantifies differences between normal and fibrotic pulmonary extracellular matrices.
Xin-Long WAN ; Zhi-Liang ZHOU ; Peng WANG ; Xiao-Ming ZHOU ; Meng-Ying XIE ; Jin MEI ; Jie WENG ; Hai-Tao XI ; Chan CHEN ; Zhi-Yi WANG ; Zhi-Bin WANG
Chinese Medical Journal 2020;133(10):1192-1202
BACKGROUND:
Pulmonary fibrosis is a respiratory disease caused by the proliferation of fibroblasts and accumulation of the extracellular matrix (ECM). It is known that the lung ECM is mainly composed of a three-dimensional fiber mesh filled with various high-molecular-weight proteins. However, the small-molecular-weight proteins in the lung ECM and their differences between normal and fibrotic lung ECM are largely unknown.
METHODS:
Healthy adult male Sprague-Dawley rats (Rattus norvegicus) weighing about 150 to 200 g were randomly divided into three groups using random number table: A, B, and C and each group contained five rats. The rats in Group A were administered a single intragastric (i.g.) dose of 500 μL of saline as control, and those in Groups B and C were administered a single i.g. dose of paraquat (PQ) dissolved in 500 μL of saline (20 mg/kg). After 2 weeks, the lungs of rats in Group B were harvested for histological observation, preparation of de-cellularized lung scaffolds, and proteomic analysis for small-molecular-weight proteins, and similar procedures were performed on Group C and A after 4 weeks. The differentially expressed small-molecular-weight proteins (DESMPs) between different groups and the subcellular locations were analyzed.
RESULTS:
Of the 1626 small-molecular-weight proteins identified, 1047 were quantifiable. There were 97 up-regulated and 45 down-regulated proteins in B vs. A, 274 up-regulated and 31 down-regulated proteins in C vs. A, and 237 up-regulated and 28 down-regulated proteins identified in C vs. B. Both the up-regulated and down-regulated proteins in the three comparisons were mainly distributed in single-organism processes and cellular processes within biological process, cell and organelle within cellular component, and binding within molecular function. Further, more up-regulated than down-regulated proteins were identified in most sub-cellular locations. The interactions of DESMPs identified in extracellular location in all comparisons showed that serum albumin (Alb) harbored the highest degree of node (25), followed by prolyl 4-hydroxylase beta polypeptide (12), integrin β1 (10), apolipoprotein A1 (9), and fibrinogen gamma chain (9).
CONCLUSIONS
Numerous PQ-induced DESMPs were identified in de-cellularized lungs of rats by high throughput proteomics analysis. The DESMPs between the control and treatment groups showed diversity in molecular functions, biological processes, and pathways. In addition, the interactions of extracellular DESMPs suggested that the extracellular proteins Alb, Itgb1, Apoa1, P4hb, and Fgg in ECM could be potentially used as biomarker candidates for pulmonary fibrosis. These results provided useful information and new insights regarding pulmonary fibrosis.
9.Physical Activity Levels of Malaysian Vegetarians and Its Associated Factors: A Cross-Sectional Study
Yuan Kei Ching ; Mahenderan Appukutty ; Wan Ying Gan ; Yoke Mun Chan ; Yit Siew Chin
Malaysian Journal of Medicine and Health Sciences 2020;16(Supp 6, Aug):99-105
Introduction: Literatures suggest that insufficient physical activity as one of the contributors to non-communicable chronic diseases; nevertheless, data on the physical activity level is sparsely reported among individuals practising a vegetarian diet in Malaysia. The current study aims to determine the prevalence of insufficient physical activity and its association with socio-demographic factors, lifestyle factors and body weight status among 273 individuals practising a vegetarian diet in Klang Valley, Malaysia. Methods: A set of self-administered questionnaire was distributed to all vegetarians and their data on physical activity was determined using the Global Physical Activity Questionnaire (GPAQ). Results: The average years of practising vegetarianism was 14.2±9.6 years, and most of the vegetarians were practised ovo-vegetarian diet (44.0%). A majority of them were Chinese (54.9%) and female (64.8%), with an average age of 47.5 ± 13.1 years. The prevalence of overweight and obesity were 27.5% and 8.1%, respectively. According to GPAQ, about two in five vegetarians (46.2%) were having insufficient physical activity. Being females, older age, Chinese, married individuals, and those with high total household income level were found to be significantly associated with low physical activity level among Malaysian vegetarians (p<0.05). Conclusion: Since insufficient physical activity is one of the factors contributing to non-communicable chronic diseases, it is crucial to educate the importance of physical activity on overall health status, specifically for those who at risk of physically inactive. In addition, future studies can focus the causal associations based on the currently identified factors and physical activity levels, which can help to develop an effective intervention program among Malaysia vegetarians.
10.The Effects of Socio-demographic Characteristics, Nutritional Status, Physical Activity and Physical Function on Cognitive Function of Community-dwelling Older Adults in the Klang Valley, Malaysia
Shiang Cheng Lim ; Wan Ying Gan ; Yoke Mun Chan
Malaysian Journal of Medicine and Health Sciences 2020;16(Supp 6, Aug):163-169
Introduction: Cognitive decline and cognitive impairment among older adults is a rising public health concern because of its association with increased risk of dementia, disability and mortality. In Malaysia, early identification of cognitive impairment is uncommon due to lack of understanding of risk profile of the elderly population. The objective of this study was to determine factors associated with cognitive impairment among community-dwelling older adults. Methods: This cross-sectional study was conducted among 698 community-dwelling older adults aged 60 years old and above in Klang Valley, Malaysia by using multi-stage sampling to determine the risk factors and predictors of cognitive impairment from a multidimensional approach. Multivariate logistic regression analysis was performed to determine the relationship between socio-demographic characteristics, physical activity, physical functional status and cognitive impairment. Results: Increased of age (OR = 1.056), being female (OR = 2.219) and Indian (OR = 2.722) were the risk factors for cognitive impairment, while years of education (OR = 0.765), physically active (OR = 0.823) and better physical function (OR = 0.843) were significantly associated with decreased risk of cognitive impairment. Marital and nutritional status failed to predict the risk of cognitive impairment. Conclusion: Given the protective effects of physical activity and physical function on the cognitive decline at later age, relevant policymakers should formulate appropriate health education programmes to promote regular physical activity to improve physical and cognitive function among Malaysians across all ages.


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