Wei-Shiung YangDr. Taiwan

21 MARCH

Time Session
08:30
10:00
Clinical Management of Obesity
  • I-Weng YenTaiwan Speaker Clinical Pathways for Obesity Management
  • Kang-Chih FanTaiwan Speaker AI-Driven Precision Drug Therapy: Tailoring Personalized Treatment for Type 2 Diabetes Type 2 diabetes (T2D) is a highly heterogeneous syndrome where "one-size-fits-all" algorithms often fail to address individual pathophysiological variations. While recent guidelines prioritize cardiorenal protection, the choice between second-line agents—particularly SGLT2 inhibitors versus GLP-1 receptor agonists—remains largely empirical. This "trial-and-error" paradigm frequently results in therapeutic inertia and suboptimal glycemic durability. Artificial Intelligence (AI) and machine learning (ML) offer a paradigm shift from population-based guidelines to precision diabetology. By integrating high-dimensional data from electronic health records (EHR), continuous glucose monitoring (CGM), and omics profiles, AI models can now quantify heterogeneous treatment effects (HTE) at the individual level. In this presentation, I will discuss: 1. Phenotypic Stratification: Moving beyond classic classification to identify data-driven clusters (e.g., severe insulin-resistant vs. age-related clusters) that dictate distinct disease trajectories. 2. Predictive Pharmacotherapy: Reviewing recent evidence where ML algorithms predict individual glycemic response and weight loss outcomes for specific drug classes. We will highlight how AI-driven decision support can optimize the selection between SGLT2 inhibitors and GLP-1 receptor agonists, maximizing efficacy while minimizing adverse events. 3. Real-World Implementation: Discussing the potential of leveraging large-scale longitudinal datasets, such as Taiwan’s National Health Insurance Research Database, to build robust, population-specific prediction models. Bridging the gap between data science and clinical practice, this session aims to demonstrate how AI can empower clinicians to prescribe the right drug for the right patient at the right time, fundamentally transforming T2D management.Anti-Obesity Medications: Clinical Use Obesity is a chronic, relapsing neurobehavioral disease requiring long-term management. Recent guidelines have shifted the treatment goal from BMI-centric weight loss to a "health-centered" approach, focusing on the remission of weight-related complications. With the advent of nutrient-stimulated hormone-based therapies, we have entered an era where pharmacotherapy can achieve double-digit weight loss comparable to bariatric surgery, offering systemic organ protection. In this session, we will navigate the clinical use of anti-obesity medications (AOMs) through three key dimensions based on the latest evidence: 1. Efficacy and Organ Protection: We will review the landmark trials establishing GLP-1 and dual GIP/GLP-1 receptor agonists as the cornerstone of treatment. Highlights include Semaglutide (STEP, SELECT, ESSENCE) and Tirzepatide (SURMOUNT, SUMMIT, SURMOUNT-OSA), demonstrating not only 15–20% weight loss but also breakthrough benefits in cardiovascular outcomes (MACE), heart failure with preserved ejection fraction (HFpEF), metabolic dysfunction-associated steatohepatitis (MASH), and obstructive sleep apnea (OSA). 2. Comorbidity-Directed Strategy: A practical framework for drug selection will be proposed, distinguishing between "Fat Mass Disease" (e.g., OSA, osteoarthritis), which benefits primarily from mechanical weight reduction, and "Sick Fat Disease" (e.g., T2D, CVD, MASH), which requires correction of adipose dysfunction. We will discuss how to prioritize agents like Semaglutide and Tirzepatide for high-risk profiles, while utilizing Naltrexone/Bupropion for emotional eating or Orlistat for patients requiring non-systemic options. 3. Asian Perspectives & Practical Management: We will present data confirming that Asian populations, who are highly sensitive to metabolic risks, achieve weight loss efficacy comparable to Western populations with Semaglutide and Tirzepatide (STEP-7, SURMOUNT-CN/J). Finally, we will address practical strategies for dose titration to mitigate GI adverse events and emphasize the necessity of chronic treatment to prevent weight regain. This presentation aims to equip clinicians with a precision medicine approach, ensuring the right AOM is prescribed to maximize both weight reduction and holistic health outcomes.
  • Chun-Heng KuoTaiwan Speaker Obesity Care in Special Populations
102
10:20
11:10
(Mandarin Session)
Chih-Yuan WangTaiwan Moderator Obesity 2026 updateObesity remains one of the most critical and rapidly evolving global health challenges entering 2026, characterized by persistently rising prevalence, expanding clinical consequences, and profound societal and economic impacts. Over the past three decades, the prevalence of overweight and obesity has more than doubled among adults and increased nearly threefold among children and adolescents worldwide, driven by complex interactions between genetic susceptibility, obesogenic environments, sedentary lifestyles, dietary transitions toward energy-dense ultra-processed foods, and broader socio-economic determinants. Projections indicate that, if current trends continue, more than half of the global adult population and a substantial proportion of children will be living with obesity within the next two decades, with particularly rapid increases occurring in low- and middle-income countries undergoing nutritional and urban transitions. This epidemiologic shift has translated into a marked escalation in obesity-related non-communicable diseases, including type 2 diabetes, cardiovascular disease, chronic kidney disease, non-alcoholic fatty liver disease, osteoarthritis, and several obesity-associated malignancies, positioning excess adiposity as a leading contributor to global morbidity, mortality, and disability-adjusted life years. Alongside the growing disease burden, the conceptual framework of obesity has undergone important refinement. While body mass index remains a pragmatic population-level screening tool, its limitations in capturing adiposity distribution and metabolic risk have prompted international efforts to redefine obesity as a chronic, relapsing disease characterized by excess or dysfunctional adipose tissue with heterogeneous clinical expression. Emerging diagnostic paradigms increasingly emphasize waist-based measures, ectopic fat accumulation, and the presence of obesity-related complications, distinguishing pre-clinical obesity from clinically manifest disease and enabling more precise risk stratification and individualized management. Therapeutically, the obesity landscape has been transformed by advances in incretin-based pharmacotherapy, particularly glucagon-like peptide-1 receptor agonists and dual or multi-agonist agents, which have demonstrated unprecedented and sustained weight reduction alongside meaningful improvements in cardiometabolic outcomes. The recent development of effective oral formulations further expands treatment accessibility and has the potential to improve long-term adherence, although challenges related to cost, equity, and health-system implementation remain substantial. Importantly, pharmacotherapy alone is insufficient to address the obesity epidemic, and contemporary management strategies emphasize multimodal, life-course approaches integrating nutritional therapy, physical activity promotion, behavioral and psychological interventions, digital health technologies, and, when appropriate, metabolic and bariatric surgery, tailored to individual risk profiles and comorbidity burdens. At the population level, global policy initiatives increasingly recognize that obesity is not solely an individual responsibility but a systems-driven condition requiring coordinated action across healthcare, education, food systems, urban planning, and regulatory environments to create supportive contexts for healthy living. Concurrently, ongoing research continues to elucidate the complex pathophysiology of obesity, including the roles of genetics, epigenetics, gut microbiota, neuroendocrine regulation, and adipose tissue inflammation, while implementation science seeks to bridge gaps between evidence and real-world practice. Collectively, the 2026 obesity update portrays a paradoxical landscape of escalating global burden alongside unprecedented scientific and therapeutic progress, underscoring that meaningful and sustainable impact will depend on integrating biomedical innovation with structural policy reform, equitable access to care, and sustained public health commitment to reverse current trajectories and improve outcomes across the lifespan.Long-Term Changes of Urinary Exosomal Peptide Levels after Thyroidectomy in Patients with Thyroid Cancer: A Prospective Observational StudyIn this prospective observational study, we investigated whether longitudinal changes in urinary exosomal peptide profiles after thyroidectomy could predict recurrence risk in patients with papillary thyroid cancer, a disease with reported recurrence rates of up to 30%. Adults older than 20 years with newly diagnosed papillary thyroid cancer who had undergone thyroidectomy were enrolled, and urine samples were collected at 12 months after study entry and again one year later for exosomal peptide identification and comparison. Seventy patients were included and stratified according to the interval between surgery and enrollment (<5 years, 5–10 years, and >10 years). During the two-year follow-up after enrollment, no recurrences were observed. Across groups and time intervals, there were no significant differences in serum protein levels or urinary exosomal peptide concentrations, and established high-risk clinical factors showed only weak correlations with these biomarkers. Collectively, these findings delineate the long-term basal fluctuation ranges of serum proteins and urinary exosomal peptides in post-thyroidectomy thyroid cancer survivors, suggesting that biomarker levels remaining within these ranges may be indicative of a lower long-term risk of recurrence in high-risk patients following thyroidectomy.
  • Lee-Ming ChuangTaiwan Speaker Understanding Biology of Type 2 Diabetes and Related Metabolic Disorders - In Memory of the Late Professor Tai Tong-YuanType 2 diabetes mellitus is one of the major non-communicable diseases and has a huge medical and societal impact in recent years and the years to come. Earlier understanding of diabetes is mainly from descriptive observations and epidemiological studies, albeit that the criteria of dysglycemia was only finally revised in year 2010 (ADA) & 2011 (WHO). With advent of new technologies, research of diabetes has bloomed from molecular epidemiology to multi-omic studies. These advances have provided us an opportunity and challenge for better understanding and management of type 2 diabetes and related metabolic disorders. Based on several different unbiased approaches, such as family-based genome-wide linkage analyses, genome-wide association studies, and mRNA differential display, we had been able to tease out certain candidate genes which are responsible disease processes, including insulin resistance, adipogenesis, obesity, and type 2 diabetes. I will illustrate translational medical studies of the genes from each of those approaches, such as Ribosome Binding Protein 1 (RRBP1), adiponectin (ADIPOQ), Vascular Adhesion Protein (VAP1), nocturnin (NOCT), and Prostaglandin Reductase 2 (PTGR2), respectively. With the Stanford Asia–Pacific Program for Hypertension and Insulin Resistance (SAPPHIRe) cohort study, which was established in 1995, our ongoing studies not only provide us a better understanding of the genes/factors on metabolic disorders but also pave a path for developing potential treatment of insulin resistance and the related clinical disorders. References. 1. Diabetes (2005) 54: 1200–1206 2. Journal of Biomedical Science (2023) 30:13 3. J Clin Endocrinol Metab (2001) 86: 3815–3819 4. EMBO Molecular Medicine (2025) 17:938-966
  • Chin-Hsiao TsengTaiwan Speaker Research on Albuminuria in Taiwanese Patients with Type 2 Diabetes Mellitus
102

22 MARCH

Time Session
08:30
09:10
101