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Al-Mashriqi HS, Sanga P, Chen J, Li X, Xiao J, Li Y, Qiu H. Green-emitting carbon dots as a "turn on" fluorescence bio-probe for highly sensitive and selective detection of lipase in human serum. Anal Bioanal Chem 2024; 416:971-981. [PMID: 38082135 DOI: 10.1007/s00216-023-05086-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 11/13/2023] [Accepted: 11/28/2023] [Indexed: 01/23/2024]
Abstract
Enzyme activity assays play a crucial role in numerous fields, including biotechnology, the food industry, and clinical diagnostics. Lipases are particularly important enzymes due to their widespread use in lipid metabolism and esterification reactions. Here, we present a pioneering method for the sensitive and selective determination of lipase activity using green carbon dots (G-CDs) for first time. G-CDs are a fascinating class of carbon nanomaterials with unique optical properties and biocompatibility, making them ideal candidates for enzyme activity assays. This approach eliminates the need for traditional fluorophores or chromogenic substrates, reducing costs, fast response time (1 min), and environmental impact with a quantum yield (QY) of 7.42%. As designed, the G-CDs fluorescent probe turn-on demonstrated a reliable linear detection range from 0 to 9 mg/mL under ideal conditions, with detection limit of 0.01 mg/mL and limit of quantification (LOQ) of 0.045 mg/mL, respectively. Furthermore, the G-CDs system was thoroughly evaluated in human serum samples, showing recoveries ranging from 100.0 to 105.0%. These findings highlight the promising applicability of the G-CDs probe for lipase detection, yielding highly favorable results.
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Affiliation(s)
- Haitham Saad Al-Mashriqi
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100039, China
| | - Pascaline Sanga
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100039, China
| | - Jia Chen
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
- Xinjiang Uygur Autonomous Product Quality Supervision and Inspection Institute, Urumqi, 830000, China.
| | - Xin Li
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100039, China
| | - Jing Xiao
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100039, China
| | - Yan Li
- Xinjiang Uygur Autonomous Product Quality Supervision and Inspection Institute, Urumqi, 830000, China
| | - Hongdeng Qiu
- CAS Key Laboratory of Chemistry of Northwestern Plant Resources and Key Laboratory for Natural Medicine of Gansu Province, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou, 730000, China.
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100039, China.
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2
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Huang H, Han MH, Gu Q, Wang JD, Zhao H, Zhai BW, Nie SM, Liu ZG, Fu YJ. Identification of pancreatic lipase inhibitors from Eucommia ulmoides tea by affinity-ultrafiltration combined UPLC-Orbitrap MS and in vitro validation. Food Chem 2023; 426:136630. [PMID: 37352710 DOI: 10.1016/j.foodchem.2023.136630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 05/10/2023] [Accepted: 06/12/2023] [Indexed: 06/25/2023]
Abstract
Pancreatic lipase inhibitors can reduce blood lipids by inactivating the catalytic activity of human pancreatic lipase, a key enzyme involved in triglyceride hydrolysis, which helps control some dyslipidemic diseases. The ability of Eucommia ulmoides tea to improve fat-related diseases is closely related to the natural inhibitory components of pancreatic lipase contained in the tea. In this study, fifteen pancreatic lipase inhibitors were screened and identified from Eucommia ulmoides tea by affinity-ultrafiltration combined UPLC-Q-Exactive Orbitrap/MS. Four representative components of geniposidic acid, quercetin-3-O-sambuboside, isochlorogenic acid A, and quercetin with high binding degrees were further verified by nanoscale differential scanning fluorimetry (nanoDSF) and enzyme inhibitory assays. The results of flow cytometry showed that they could significantly reduce the activity of pancreatic lipase in AR42J cells induced by palmitic acid in a concentration-dependent manner. Our findings suggest that Eucommia ulmoides tea may be a promising resource for pancreatic lipase inhibitors of natural origin.
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Affiliation(s)
- Han Huang
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Ming-Hao Han
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Qi Gu
- The College of Forestry, Beijing Forestry University, Beijing 100083, PR China
| | - Jian-Dong Wang
- The College of Forestry, Beijing Forestry University, Beijing 100083, PR China
| | - Heng Zhao
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Bo-Wen Zhai
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Si-Ming Nie
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Zhi-Guo Liu
- Key Laboratory of Forest Plant Ecology, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; Engineering Research Center of Forest Bio-Preparation, Ministry of Education, Northeast Forestry University, Harbin 150040, PR China; College of Chemistry, Chemical Engineering and Resource Utilization, Northeast Forestry University, Harbin 150040, PR China
| | - Yu-Jie Fu
- The College of Forestry, Beijing Forestry University, Beijing 100083, PR China.
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3
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Hou FB, Zhang N, Zhu GH, Fan YF, Sun MR, Nie LL, Ge GB, Zheng YJ, Wang P. Functional Imaging and Inhibitor Screening of Human Pancreatic Lipase by a Resorufin-Based Fluorescent Probe. BIOSENSORS 2023; 13:bios13020283. [PMID: 36832049 PMCID: PMC9953885 DOI: 10.3390/bios13020283] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/12/2023] [Accepted: 02/13/2023] [Indexed: 05/28/2023]
Abstract
Human pancreatic lipase (hPL) is a crucial digestive enzyme responsible for the digestion of dietary lipids in humans, and inhibition of hPL is effective in reducing triglyceride intake, thereby preventing and treating obesity. In this study, a series of fatty acids with different carbon chain lengths were constructed to the fluorophore resorufin based on the substrate preference of hPL. Among them, RLE was found to have the best combination of stability, specificity, sensitivity and reactivity towards hPL. Under physiological conditions, RLE can be rapidly hydrolyzed by hPL and released to resorufin, which triggered approximately 100-fold fluorescence enhancement at 590 nm. RLE was successfully applied for sensing and imaging of endogenous PL in living systems with low cytotoxicity and high imaging resolution. Moreover, a visual high-throughput screening platform was established using RLE, and the inhibitory effects of hundreds of drugs and natural products toward hPL were evaluated. Collectively, this study reports a novel and highly specific enzyme-activatable fluorogenic substrate for hPL that could serve as a powerful tool for monitoring hPL activity in complex biological systems and showcases the potential to explore physiological functions and rapid screening of inhibitors.
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Affiliation(s)
- Fan-Bin Hou
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Na Zhang
- Department of Biology, Philipps University, Karl-von-Frisch-Straße 8, 35043 Marburg, Germany
| | - Guang-Hao Zhu
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yu-Fan Fan
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Meng-Ru Sun
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Liang-Liang Nie
- The Research Center for Traditional Chinese Medicine, Shanghai Institute of Infectious Diseases and Biosecurity, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
- School of Pharmaceutical Science, Liaoning University, Shenyang 110036, China
| | - Guang-Bo Ge
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yue-Juan Zheng
- The Research Center for Traditional Chinese Medicine, Shanghai Institute of Infectious Diseases and Biosecurity, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ping Wang
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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4
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Gao F, Liu G, Qiao M, Li Y, Yi X. Biosensors for the Detection of Enzymes Based on Aggregation-Induced Emission. BIOSENSORS 2022; 12:bios12110953. [PMID: 36354464 PMCID: PMC9688369 DOI: 10.3390/bios12110953] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 05/14/2023]
Abstract
Enzymes play a critical role in most complex biochemical processes. Some of them can be regarded as biomarkers for disease diagnosis. Taking advantage of aggregation-induced emission (AIE)-based biosensors, a series of fluorogens with AIE characteristics (AIEgens) have been designed and synthesized for the detection and imaging of enzymes. In this work, we summarized the advances in AIEgens-based probes and sensing platforms for the fluorescent detection of enzymes, including proteases, phosphatases, glycosidases, cholinesterases, telomerase and others. The AIEgens involve organic dyes and metal nanoclusters. This work provides valuable references for the design of novel AIE-based sensing platforms.
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Affiliation(s)
- Fengli Gao
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Gang Liu
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Mingyi Qiao
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Yingying Li
- College of Chemistry and Chemical Engineering, Anyang Normal University, Anyang 455000, China
| | - Xinyao Yi
- College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
- Correspondence:
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5
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High-throughput optical assays for sensing serine hydrolases in living systems and their applications. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116620] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Guo WY, Fu YX, Liu SY, Mei LC, Sun Y, Yin J, Yang WC, Yang GF. Multienzyme-Targeted Fluorescent Probe as a Biosensing Platform for Broad Detection of Pesticide Residues. Anal Chem 2021; 93:7079-7085. [PMID: 33906355 DOI: 10.1021/acs.analchem.1c00553] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pesticide residues, significantly hampering the overall environmental and human health, have become an increasingly severe issue. Thus, developing rapid, cost-effective, and sensitive tools for monitoring the pesticide residues in food and water is extremely important. Compared to the conventional and chromatographic techniques, enzyme inhibition-based biosensors conjugated with the fluorogenic probes provide effective alternative methods for detecting pesticide residues due to the inherent advantages including high selectivity and sensitivity, simple operation, and capability of providing in situ and real-time information. However, the detection efficiency of a single enzyme-targeted biosensor in practical samples is strongly impeded by the structural diversity of pesticides and their distinct targets. In this work, we developed a strategy of multienzyme-targeted fluorescent probe design and accordingly obtained a novel fluorescent probe (named as 3CP) for detecting the presence of wide variety of pesticides. The designed probe 3CP, targeting cholinesterases, carboxylesterases, and chymotrypsin simultaneously, yielded intense fluorescence in the solid state upon the enzyme-catalyzed hydrolysis. It showed excellent sensitivity against organophosphorus and carbamate pesticides, and the detection limit for dichlorvos achieved 1.14 pg/L. Moreover, it allowed for the diffusion-resistant in situ visualization of pesticides in live cells and zebrafish and the sensitive measurement of organophosphorus pesticides in fresh vegetables, demonstrating the promising potential for tracking the pesticide residues in environment and biological systems.
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Affiliation(s)
- Wu-Yingzheng Guo
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Yi-Xuan Fu
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Shi-Yu Liu
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Long-Can Mei
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Yao Sun
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Jun Yin
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Wen-Chao Yang
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
| | - Guang-Fu Yang
- Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, College of Chemistry, Central China Normal University, Wuhan 430079, P. R. China
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