Science & Innovation

Hua Medicine is pioneering in innovative research in basic science and translational medicine of whole-body glucose homeostasis, by establishing the concept of "repairing the sensor and restoring the homeostasis" in treatment of Type 2 diabetes (T2D). We have successfully developed dorzagliatin (a.k.a. HMS5552), an oral antidiabetic treatment which has been demonstrated in T2D patients to effectively improve the automatic control of blood glucose as well as the disposition index (DI).

As an allosteric activator of glucokinase (GK), the principal glucose sensor in human body, dorzagliatin is able to restore the compromised GK activity and repair its functional deficits in T2D patients. Dorzagliatin improves or even normalizes the glucose-stimulated insulin release (GSIR) threshold, ameliorates glucose tolerance and insulin sensitivity, and refines the dynamics of hormone secretion for both insulin and glucagon, resulting in metabolic remodeling of whole-body glucose homeostasis with a great potential to slow down the disease progression of T2D and diabetic complication by addressing the underlying cause of the disease pathophysiology.

We are currently conducting two Phase clinical trials of dorzagliatin in China, one as a monotherapy and the other in combination with metformin. In addition, our product development pipeline also includes evaluation of dorzagliatin in combination with various other approved antidiabetic treatments.

We are also developing mGluR5 negative allosteric modulators (NAM) as potential novel treatment for levodopa-induced dyskinesia in Parkinson’s disease (PD-LID) and plan to initiate clinical studies in the near future.

“VIC + Q” Model and “PPR + Q” Model

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Computers in pharmaceutical R&D

PK/PD modeling

Computer simulation of PK / PD model to assist experimental design and drug metrology selection, greatly improving experimental efficiency

Computer assisted T2DM precision medicine

By analyzing and mining clinical information, genotypes, and complications of Chinese patients with type 2 diabetes, and using technologies such as artificial intelligence to analyze big data, we have achieved subgrouping of patients with type 2 diabetes. Subgrouping can effectively guide the personalized treatment and management of type 2 diabetes.

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