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The Department of Pharmacology congratulates 18 faculty members on being recognized among the top 2% of scientists world...
20/10/2026

The Department of Pharmacology congratulates 18 faculty members on being recognized among the top 2% of scientists worldwide for citation impact in 2026.

This global analysis, initiated by Professor John Ioannidis at Stanford University and published by Elsevier, highlights the significant contributions and impact of our faculty in advancing research and knowledge.

We extend our heartfelt congratulations to:

Faculty members:
Professor Christopher CHEN Li-Hsian, Professor Fred WONG Wai-Shiu, Professor TAO Wei, Associate Professor Minh LE, Associate Professor Gautam SETHI, Dr Alan Prem KUMAR

Joint faculty members:
Professor Guillermo C. BAZAN, Professor GOH Boon Cher, Professor Dean Ho, Professor Philip Keith MOORE, Dr Saima HILAL, Dr Muthu Kumaraswamy SHANMUGAM

Adjunct faculty members:
Associate Professor Edward J. MANSER, Associate Professor Shabbir MOOCHHALA, Dr. Xuan Vinh TRUONG

Retired faculty members:
Emeritus Professor R. Manjunameritus Ptha KINI, Erofessor Edmund LEE Jon Deoon, Associate Professor Benny TAN Kwon Huat

This recognition is a testament to their dedication, excellence, and lasting impact on the scientific community.

14/10/2026

Background

Circadian disruption may affect metabolism through altered timing of sleep, activity, light exposure, hormonal rhythms, and food intake. However, its relationship with metabolic dysfunction-associated steatotic liver disease (MASLD), including fibrosis and cirrhosis remains unclear. To evaluate associations between circadian and behavioural timing exposures and MASLD in observational studies.

Methods

PubMed, Embase, and Scopus were searched from inception to 14 July 2026. Eligible studies examined naturally occurring timing-related exposures in adults and reported steatosis, fibrosis, cirrhosis, or quantitative liver-fat outcomes. Findings were synthesized narratively because heterogeneity precluded pooling. Risk of bias was assessed using AXIS or the Newcastle–Ottawa Scale, and certainty using an adapted domain-level GRADE approach (PROSPERO Registration number: CRD420261381636).

Findings

Twenty-four independent MASLD-related evidence sources were included in the primary synthesis; two additional mixed-aetiology cirrhosis studies were considered contextually. Shift work showed the most consistent associations and most longitudinal evidence. Chronotype was generally associated with disease occurrence but inconsistently with advanced outcomes: intermediate or late chronotype was associated with fibrosis in one clinical cohort, whereas morning chronotype was not independently associated with incident cirrhosis in a prospective cohort. Later sleep timing was associated with prevalent MASLD and, in one NHANES analysis, fibrosis. Evidence for objective rest-activity rhythms, light exposure, meal timing, and melatonin phase remained limited or heterogeneous. Mixed-aetiology cirrhosis studies suggested that advanced liver disease may itself disrupt circadian physiology.

Interpretation

Circadian and behavioural timing exposures showed trends associated with MASLD-related outcomes, with the most consistent evidence for shift work. Residual confounding, cross-sectional designs, self-reported exposures, heterogeneous outcomes, and reverse causality preclude causal conclusions. Prospective studies using objective circadian phenotyping and standardized fibrosis outcomes are needed.

Full Article:

AI is entering clinical practice faster than health professions curricula can teach it, leaving many educators eager to ...
07/10/2026

AI is entering clinical practice faster than health professions curricula can teach it, leaving many educators eager to use AI-based teaching tools but unsure of how to build them. Generative AI chatbots—configured as simulated patients, clinical coaches, or formative assessment partners—offer scalable, interactive practice without any programming, yet most educators lack a structured method for designing and deploying them well. This tutorial provides that method: a practical, platform-agnostic workflow for building no-code AI chatbots using widely available large language model platforms. The workflow is organized in five sequential sections that follow the arc of a design project: (1) defining the educational purpose, learner group, and persona; (2) configuring behavior through the system prompt, graduated information disclosure, and structured feedback; (3) refining the learner experience through communication-style calibration, voice interaction, and curated knowledge documents; (4) adding realism and testing, including AI avatar generation and rigorous pilot-testing; and (5) embedding the tool within the curriculum and governing its use ethically. Each section pairs concrete, copy-ready design steps with the reasoning behind them, drawing on the technological pedagogical content knowledge framework and on established learning mechanisms—deliberate practice, self-regulated learning, formative feedback, and simulation-based learning—so that design choices are pedagogically grounded rather than merely technical. Throughout, 2 locally developed initiatives, the Virtual Integrated Patient and the Depression Avatars project, serve as illustrative implementation examples that motivated specific design decisions. These are presented as feasibility and acceptability experiences, not as evidence of educational effectiveness. The tutorial also addresses when a chatbot is not the right tool, the principal risks (hallucination, automation bias, data privacy exposure, and bias in generated personas), and a practical governance checklist for safe deployment. Although the examples are clinical, the workflow is discipline-agnostic and transferable across higher education. No-code AI chatbots are a feasible, accessible way for educators to build interactive learning tools; rigorous, multi-institutional evaluation using validated instruments remains the essential next step.

Full Article: https://mededu.jmir.org/2026/1/e103399

BackgroundNon-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, driven in pa...
30/09/2026

Background

Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, driven in part by persistent activation of pro-survival pathways such as STAT3 and NF-ÎşB.

Aim

Cannabidiol (C*D), a non-psychoactive phytocannabinoid, has emerged as a potential anti-cancer agent; however, its mechanisms in NSCLC remain incompletely defined. In particular, C*D has not been systematically investigated for its ability to simultaneously suppress both constitutive and inducible STAT3/NF-ÎşB activation, while coordinating apoptosis and autophagy in NSCLC. Furthermore, its role as a chemosensitizer in combination with paclitaxel remains to be validated in vivo.

Methods

Human NSCLC cell lines (A549, PC9, and H1299) were treated with cannabidiol (C*D), alone or in combination with paclitaxel. Apoptosis and autophagy were evaluated via caspase-3/7 activity, Western blotting, and immunocytochemistry. The effects of C*D on STAT3 and NF-ÎşB signaling were assessed using EMSA, luciferase reporter assays, and nuclear translocation analysis. Anti-tumor efficacy was further validated in a xenograft mouse model.

Results

Here, we demonstrate that C*D reduced cell viability in NSCLC cells (A549 and PC9), while showing less cytotoxicity in normal lung fibroblasts. Mechanistically, C*D induced apoptosis and autophagy and suppressed STAT3 and NF-κB activation at the levels of phosphorylation, nuclear localization, and transcriptional activity. These effects were also observed in inducible signaling models using IL-6–stimulated H1299 cells. Importantly, C*D enhanced the efficacy of paclitaxel, a commonly used chemotherapeutic agent, by synergistically inducing apoptosis and autophagy and further suppressing STAT3/NF-κB signaling. In a xenograft mouse model, C*D treatment significantly reduced tumor growth without affecting body weight, and combination therapy with paclitaxel led to the most pronounced tumor suppression. Tumor tissue analyses confirmed that C*D downregulated phosphorylated STAT3 and p65, reduced proliferation marker Ki-67, and increased expression of cleaved PARP, LC3 II, and other cell death-associated proteins.

Conclusion

Our findings provide preclinical evidence that C*D exerts potent anti-tumor activity in NSCLC by coordinating inhibition of oncogenic signaling and activation of programmed cell death pathways. To our knowledge, this study provides evidence that C*D concurrently inhibits STAT3 and NF-ÎşB signaling, affecting both constitutive and inducible activation in NSCLC, and enhances paclitaxel efficacy in vivo, thereby establishing a novel mechanistic and translational basis for its therapeutic potential. These results support the therapeutic effect of C*D as a potential adjuvant in lung cancer treatment.

Full Article: https://www.sciencedirect.com/science/article/abs/pii/S094471132600721X?via%3Dihub

🎉 Congratulations to Dr David Fann and Dr Nurulhuda Mustafa! 🎉We are delighted to celebrate Dr David Fann and Dr Nurulhu...
25/09/2026

🎉 Congratulations to Dr David Fann and Dr Nurulhuda Mustafa! 🎉

We are delighted to celebrate Dr David Fann and Dr Nurulhuda Mustafa on being named the inaugural recipients of the new Fellowship in Healthcare Professions Education awarded by CenMed.

This prestigious recognition reflects their unwavering commitment to educational excellence, innovation in teaching, and dedication to developing the next generation of healthcare professionals. As passionate educators, they have made significant contributions to advancing healthcare professions education and enriching the learning experiences of their students and colleagues.

As the first recipients of this fellowship, they have set a high benchmark for educational leadership and scholarship. We are incredibly proud of their achievement and look forward to seeing their continued impact on healthcare education.

Please join us in congratulating Dr David Fann and Dr Nurulhuda Mustafa on this well-deserved honour! 👏👏

INTRODUCTIONThe SINgapore GERiatric Intervention Study to Reduce Cognitive Decline and Physical Frailty (SINGER) is the ...
23/09/2026

INTRODUCTION

The SINgapore GERiatric Intervention Study to Reduce Cognitive Decline and Physical Frailty (SINGER) is the first large Southeast Asian randomized controlled trial of multidomain lifestyle interventions in older adults at increased dementia risk.

METHODS

Baseline assessments included sociodemographic, cognitive, lifestyle, and clinical risk factors. Recruitment strategies and adaptations to coronavirus disease 2019 (COVID-19) restrictions and operational challenges were documented.

RESULTS

A total of 3841 individuals were pre-screened, with 1218 randomized 1:1 to a Structured Lifestyle Intervention or a Self-Guided Intervention (606 each; three exclusions per arm). Participants had a mean age of 68.7 years and a mean of 12.5 years of education; 96.4% were Chinese. High rates of inactivity, limited cognitive engagement, and suboptimal diet were observed.

DISCUSSION

Despite pandemic disruptions, SINGER achieved its recruitment target through adaptive strategies, enrolling a cohort with significant scope for dementia risk reduction and positioned to test the effectiveness of multidomain lifestyle interventions.

Full Article: https://alz-journals.onlinelibrary.wiley.com/doi/10.1002/alz.71313

Researchers from the Department of Pharmacology, NUS Medicine, have contributed to an important discovery that could pav...
21/09/2026

Researchers from the Department of Pharmacology, NUS Medicine, have contributed to an important discovery that could pave the way for new treatment strategies for triple-negative breast cancer (TNBC), one of the most aggressive forms of breast cancer.

Led by Research Assistant Professor Alan Prem Kumar from the Department of Pharmacology and NUS Centre for Cancer Research, the research team identified DP103, a previously unknown “master switch” that plays a key role in driving tumour growth, cancer spread and treatment resistance.

The team also demonstrated the potential of RX-5902 (Supinoxin), an experimental targeted drug that disrupts this mechanism. In preclinical models, the treatment significantly reduced cancer stem-cell viability and tumour growth, with some models showing approximately 90% reduction in tumour size.

The findings highlight the potential of DP103 as a biomarker for personalised treatment, helping identify patients who may benefit from targeted therapy. This research underscores the Department of Pharmacology’s contributions to advancing cancer research and the development of more precise therapeutic approaches.

For more details: https://medicine.nus.edu.sg/news/new-master-switch-linked-to-aggressive-breast-cancer-with-drug-shown-to-slow-tumour-growth/

Cancer-associated metabolic reprogramming profoundly reshapes the tumor microenvironment (TME), emerging as a central dr...
16/09/2026

Cancer-associated metabolic reprogramming profoundly reshapes the tumor microenvironment (TME), emerging as a central driver of immune evasion and therapeutic resistance. Increasing evidence indicates that metabolic enzymes function not only as bioenergetic regulators but also as active modulators of immune signaling, immune cell fate, and immune checkpoint expression. To elucidate these complex immunometabolic networks, this review utilizes fructose-1,6-bisphosphatase 1 (FBP1)—a key gluconeogenic enzyme—as a paradigmatic metabolic gatekeeper to illustrate how metabolic dysregulation drives tumor progression. By examining both the canonical metabolic effects and noncanonical signaling mechanisms of such enzymes, we synthesize recent advances demonstrating how metabolic rewiring promotes glycolytic reprogramming, immune suppression, and resistance to immunotherapy. Specifically, we explore broad mechanisms of immune evasion, including STAT3–PD-L1 regulation, modulation of innate immune surveillance, T cell exhaustion, and remodeling of stromal and fibrotic tumor niches. Furthermore, we discuss emerging therapeutic strategies targeting these immunometabolic pathways, encompassing small-molecule modulators, vitamin- and gene-based interventions, nanotechnology-enabled delivery systems, and metabolism-informed combination immunotherapy. Finally, we highlight key challenges, including metabolic heterogeneity and context-dependent enzyme function, emphasizing the need for biomarker-guided precision strategies to translate fundamental immunometabolic insights into durable and safe cancer therapies.

Full Article: https://onlinelibrary.wiley.com/doi/10.1002/mco2.70801

NUS Department of Pharmacology is delighted to congratulate Dr LAM Hiu Yan on being named one of three recipients of the...
09/09/2026

NUS Department of Pharmacology is delighted to congratulate Dr LAM Hiu Yan on being named one of three recipients of the 2026 Outstanding Research Fellow Award.

The award recognises NUS Medicine Research Fellows who have demonstrated excellence in research, service, mentoring, and leadership, while making a significant positive impact on the NUS Yong Loo Lin School of Medicine and the broader scientific community.

This recognition highlights Dr Lam’s outstanding contributions and commitment to research excellence, as well as her dedication to supporting the academic and scientific community.

Congratulations to Dr Lam Hiu Yan on this well-deserved achievement!

OBJECTIVEWhite matter hyperintensities (WMHs) moderate the association between diabetes and cognition, but the underlyin...
08/09/2026

OBJECTIVE

White matter hyperintensities (WMHs) moderate the association between diabetes and cognition, but the underlying mechanisms remain unknown. This study investigated the interaction effect between diabetes and WMHs on brain atrophy, the resulting atrophy patterns, and whether brain atrophy mediates the effect of diabetes on cognition.

RESEARCH DESIGN AND METHODS

This study included individuals without dementia from two independent memory clinic–based cohorts: Harmonization (primary analysis, n = 112 case subjects with diabetes, n = 284 control subjects) and Alzheimer’s Disease Neuroimaging Initiative (ADNI) (secondary analysis, n = 64 case subjects with diabetes, n = 600 control subjects). Participants underwent longitudinal brain MRI and cognitive assessments, along with plasma pTau181 measurement as a marker of Alzheimer disease (AD). WMHs and brain atrophy were quantified, with Schwarz signature, McEvoy signature, and hippocampal volume used as AD-specific atrophy measures.

RESULTS

Diabetes was not associated with brain atrophy cross-sectionally or longitudinally. Instead, an interactive effect between diabetes and WMHs on brain atrophy was observed. In Harmonization, this interaction was significant in cross-sectional analyses, affecting cortical gray matter and the frontal lobe. No interactive effect was found for AD-specific atrophy, and the observed interactive effect remained significant after adjusting for plasma pTau181. Cortical gray matter mediated the effect of diabetes on cognition at higher WMHs burden. These results were replicated in ADNI, where diabetes and WMHs interacted to accelerate brain atrophy over time.

CONCLUSIONS

Our study demonstrated diabetes and WMHs synergistically contribute to brain atrophy independent of AD, suggesting diabetes-associated cognitive impairment is primarily driven by cerebrovascular disease rather than Alzheimer pathology.

Full Article: https://diabetesjournals.org/care/article/49/6/946/163685/White-Matter-Hyperintensities-Moderate-the

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