Computational Metabolomics & Pharmacokinetics Laboratory
About Computational Metabolomics & Pharmacokinetics Laboratory
Introduction
Established under the Department of Pharmacology and Pharmacy, the Computational Metabolomics & Pharmacokinetics Laboratory (CMPK) is a cutting-edge research platform dedicated to advancing metabolomics and pharmacokinetics studies. As a pioneer in decoding global metabolic responses to biological stimuli, disease states, and therapeutic interventions, CMPK leverages high-resolution mass spectrometry technology to capture dynamic metabolic profiles. By integrating artificial intelligence for multidimensional data analysis, CMPK enhances its capabilities in understanding complex metabolic processes.
CMPK focuses on pharmacokinetics studies, analyzing the absorption, distribution, metabolism, and excretion (ADME) of therapeutic compounds to predict drug behavior accurately and optimize dosing strategies. By combining metabolomics' comprehensive characterization of endogenous metabolites with pharmacokinetics' quantitative analysis of xenobiotic compounds, CMPK develops innovative models that bridge molecular-level insights with clinical outcomes.
The multidisciplinary excellence at CMPK positions it as a dynamic force in expediting drug development pipelines, optimizing precision medicine strategies, and spearheading the discovery of innovative biomarkers for therapeutic monitoring across a broad spectrum of biomedical applications.
Core Strengths
- Technology Integration: Combines mass spectrometry platforms with AI algorithms to enhance data mining capabilities.
- End-to-End Services: Offers a one-stop solution from sample processing to data analysis.
- Precision Medicine-Driven: Provides data-driven insights for disease diagnosis, drug development, and personalized medicine.
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Core Services
| Service Platform | Service Type | Price per Sample (HKD$) | |
|---|---|---|---|
| Price for Faculty of Medicine Users | Regular Price | ||
| Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS) systems Q300 High-Throughput Metabolite Array Technology |
High-Throughput Metabolomics Analysis
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Q300: $720 Bile Acid: $600 Lipids: $600 |
Q300: $1200 Bile Acid: $1000 Lipids: $1000 |
| Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS) systems | AI-Driven Metabolomics
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Q1000: $1200 An extended bile acid profile with over 150 BA species: $1200 |
Q1000: $2000 An extended bile acid profile with over 150 BA species: $2000 |
Pharmacokinetics Research
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$480 | $800 | |
Metabolomics Sample Processing & Data Support
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Cost included in the above prices | ||
Customized Solutions
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Please contact our specialists for project discussion and service quotation. | ||
Sample Submission and Requirements
| Pre-Submission Consultation Please contact our specialists for consultation. |
| Sample Preparation & Submission Please fill out the Sample Submission Form and adhere to the CMPK Sample Requirements. |
Applications
- Epidemiological Studies: Analyzes metabolic profiles to identify biomarkers associated with disease risk and progression.
- Cancer Biology Research: Utilizes isotope tracing technology to precisely map glucose and fructose metabolism in cancer cells, uncovering key mechanisms of carcinogenesis and providing new insights for targeted therapies.
- Drug Development: Conducts drug metabolite identification, pharmacokinetics analysis, and drug safety assessments.
- Environmental and Food Safety: Detects contaminants and evaluates food safety through advanced metabolic analysis.
Recent Publications in Translational Research
- Zhu, Y., Jian, X., Chen, S., An, G., Jiang, D., Yang, Q., Zhang, J., Hu, J., Qiu, Y., Feng, X., et al. (2024). Targeting gut microbial nitrogen recycling and cellular uptake of ammonium to improve bortezomib resistance in multiple myeloma. Cell Metab 36, 159-175.e8. https://doi.org/10.1016/j.cmet.2023.11.019.
- Zheng, D., Zhang, H., Zheng, X., Zhao, A., and Jia, W. (2024). Novel microbial modifications of bile acids and their functional implications. Imeta 3, e243. https://doi.org/10.1002/imt2.243.
- Zhao, Q., Han, B., Wang, L., Wu, J., Wang, S., Ren, Z., Wang, S., Yang, H., Carbone, M., Dong, C., Melino G, Chen W, Jia W. (2024). AKR1B1-dependent fructose metabolism enhances malignancy of cancer cells. Cell Death Differ 31, 1611–1624. https://doi.org/10.1038/s41418-024-01393-4.
- Zhao, M., Ren, Z., Zhao, A., Tang, Y., Kuang, J., Li, M., Chen, T., Wang, S., Wang, J., Zhang, H., Zeng J, Liu X, Xie G, Liu P, Sun N, Bao T, Nie T, Lin J, Liu P, Zheng Y, Zheng X, Liu T, Jia W. (2024). Gut bacteria-driven homovanillic acid alleviates depression by modulating synaptic integrity. Cell Metab 36, 1000-1012.e6. https://doi.org/10.1016/j.cmet.2024.03.010.
- Wang, C., Wang, L., Zhao, Q., Ma, J., Li, Y., Kuang, J., Yang, X., Bi, H., Lu, A., Cheung, K.C.P., et al. (2024). Exploring fructose metabolism as a potential therapeutic approach for pancreatic cancer. Cell Death Differ 31, 1625–1635. https://doi.org/10.1038/s41418-024-01394-3.
- Martin, F.-P., Cominetti, O., Berger, B., Combremont, S., Marquis, J., Xie, G., Jia, W., Pinto-Sanchez, M.I., Bercik, P., and Bergonzelli, G. (2024). Metabolome-associated psychological comorbidities improvement in irritable bowel syndrome patients receiving a probiotic. Gut Microbes 16, 2347715. https://doi.org/10.1080/19490976.2024.2347715.
- Jia, W., Li, Y., Cheung, K.C.P., and Zheng, X. (2024). Bile acid signaling in the regulation of whole body metabolic and immunological homeostasis. Sci China Life Sci 67, 865–878. https://doi.org/10.1007/s11427-023-2353-0.
- Han, B., Shi, L., Bao, M.-Y., Yu, F.-L., Zhang, Y., Lu, X.-Y., Wang, Y., Li, D.-X., Lin, J.-C., Jia, W., et al. (2024). Dietary ellagic acid therapy for CNS autoimmunity: Targeting on Alloprevotella rava and propionate metabolism. Microbiome 12, 114. https://doi.org/10.1186/s40168-024-01819-8.
- Chen, T., Wang, L., Xie, G., Kristal, B.S., Zheng, X., Sun, T., Arnold, M., Louie, G., Li, M., Wu, L., Mahmoudiandehkordi S, Sniatynski M, Borkowski K, Guo Q, Kuang J, Wang J, Nho K, Ren Z, Kueider‐Paisley A, Blach C, Kaddurah‐Daouk R., Jia W. (2024). Serum Bile Acids Improve Prediction of Alzheimer’s Progression in a Sex-Dependent Manner. Adv Sci (Weinh) 11, e2306576. https://doi.org/10.1002/advs.202306576.
- Chen, T., Pan, F., Huang, Q., Xie, G., Chao, X., Wu, L., Wang, J., Cui, L., Sun, T., Li, M., et al. Wang Y, Guan Y, Zheng X, Ren Z, Guo Y, Wang L, Zhou K, Zhao A, Guo Q, Xie F, Jia W. (2024). Metabolic phenotyping reveals an emerging role of ammonia abnormality in Alzheimer’s disease. Nat Commun 15, 3796. https://doi.org/10.1038/s41467-024-47897-y.
- Kuang JL, Zheng XJ, Jia, W. (2024). Investigating Regional-Specific Gut Microbial Distribution: An Uncharted Territory in Disease Therapeutics. Protein & Cell, 10.1093/procel/pwae058
- Ren ZX, Zhao L, Zhao ML, Bao TH, Chen TL, Zhao AH, Zheng XJ, Gu XR, Sun T, Guo YH, Tang YJ, Xie GX, Jia, W. (2024) Increased intestinal bile acid absorption contributes to age-related cognitive impairment. Cell Reports Medicine, 5(5), 101543. 10.1016/j.xcrm.2024.101543
Contact Us
| Name | |
|---|---|
| Professor Wei JIA | weijia2@hku.hk |
| Dr Lu WANG | luwang1@hku.hk |
| Dr Weijia ZHENG | zweijia@hku.hk |
L02-60-63, 2/F, Laboratory Block, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong SAR
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