Application and Trend of Bioluminescence Imaging in Metabolic Syndrome Research

Overview

Journal Front Chem

Specialty Chemistry

Date 2023 Jan 26

PMID 36700071

Authors

Shirui Li

Kang Wang

Zeyu Wang

Wenjie Zhang

Zenglin Liu

Yugang Cheng

Jiankang Zhu

Mingwei Zhong

Sanyuan Hu

Yun Zhang

Affiliations

Soon will be listed here.

Abstract

Bioluminescence imaging is a non-invasive technology used to visualize physiological processes in animals and is useful for studying the dynamics of metabolic syndrome. Metabolic syndrome is a broad spectrum of diseases which are rapidly increasing in prevalence, and is closely associated with obesity, type 2 diabetes, nonalcoholic fatty liver disease, and circadian rhythm disorder. To better serve metabolic syndrome research, researchers have established a variety of animal models expressing luciferase, while also committing to finding more suitable luciferase promoters and developing more efficient luciferase-luciferin systems. In this review, we systematically summarize the applications of different models for bioluminescence imaging in the study of metabolic syndrome.

Citing Articles

Luminescence Probes in Bio-Applications: From Principle to Practice.

Yan T, Weng F, Ming Y, Zhu S, Zhu M, Wang C Biosensors (Basel). 2024; 14(7).

PMID: 39056609 PMC: 11274413. DOI: 10.3390/bios14070333.

References

Mao L, Nie B, Nie T, Hui X, Gao X, Lin X . Visualization and Quantification of Browning Using a Ucp1-2A-Luciferase Knock-in Mouse Model. Diabetes. 2017; 66(2):407-417. DOI: 10.2337/db16-0343. View

Contag C, Spilman S, Contag P, Oshiro M, Eames B, Dennery P . Visualizing gene expression in living mammals using a bioluminescent reporter. Photochem Photobiol. 1997; 66(4):523-31. DOI: 10.1111/j.1751-1097.1997.tb03184.x. View

Kosteli A, Sugaru E, Haemmerle G, Martin J, Lei J, Zechner R . Weight loss and lipolysis promote a dynamic immune response in murine adipose tissue. J Clin Invest. 2010; 120(10):3466-79. PMC: 2947229. DOI: 10.1172/JCI42845. View

Cannon B, Nedergaard J . Brown adipose tissue: function and physiological significance. Physiol Rev. 2004; 84(1):277-359. DOI: 10.1152/physrev.00015.2003. View

AlSawaftah N, Farooq A, Dhou S, Majdalawieh A . Bioluminescence Imaging Applications in Cancer: A Comprehensive Review. IEEE Rev Biomed Eng. 2020; 14:307-326. DOI: 10.1109/RBME.2020.2995124. View

Eckel R, Grundy S, Zimmet P . The metabolic syndrome. Lancet. 2005; 365(9468):1415-28. DOI: 10.1016/S0140-6736(05)66378-7. View

Endo M, Ozawa T . Advanced Bioluminescence System for In Vivo Imaging with Brighter and Red-Shifted Light Emission. Int J Mol Sci. 2020; 21(18). PMC: 7555964. DOI: 10.3390/ijms21186538. View

Yamazaki S, Numano R, Abe M, Hida A, Takahashi R, Ueda M . Resetting central and peripheral circadian oscillators in transgenic rats. Science. 2000; 288(5466):682-5. DOI: 10.1126/science.288.5466.682. View

Thomas D, Apovian C . Macrophage functions in lean and obese adipose tissue. Metabolism. 2017; 72:120-143. PMC: 5516622. DOI: 10.1016/j.metabol.2017.04.005. View

10.

Alhadlaq A, Tang M, Mao J . Engineered adipose tissue from human mesenchymal stem cells maintains predefined shape and dimension: implications in soft tissue augmentation and reconstruction. Tissue Eng. 2005; 11(3-4):556-66. DOI: 10.1089/ten.2005.11.556. View

11.

Ayala D, Moya A, Crespo J, Castineira C, Dominguez-Sardina M, Gomara S . Circadian pattern of ambulatory blood pressure in hypertensive patients with and without type 2 diabetes. Chronobiol Int. 2012; 30(1-2):99-115. DOI: 10.3109/07420528.2012.701489. View

12.

Hotamisligil G . Inflammation and metabolic disorders. Nature. 2006; 444(7121):860-7. DOI: 10.1038/nature05485. View

13.

Catrysse L, van Loo G . Inflammation and the Metabolic Syndrome: The Tissue-Specific Functions of NF-κB. Trends Cell Biol. 2017; 27(6):417-429. DOI: 10.1016/j.tcb.2017.01.006. View

14.

Galmozzi A, Sonne S, Altshuler-Keylin S, Hasegawa Y, Shinoda K, Luijten I . ThermoMouse: an in vivo model to identify modulators of UCP1 expression in brown adipose tissue. Cell Rep. 2014; 9(5):1584-1593. PMC: 4268417. DOI: 10.1016/j.celrep.2014.10.066. View

15.

Hirode G, Wong R . Trends in the Prevalence of Metabolic Syndrome in the United States, 2011-2016. JAMA. 2020; 323(24):2526-2528. PMC: 7312413. DOI: 10.1001/jama.2020.4501. View

16.

Sekiguchi Y, Owada J, Oishi H, Katsumata T, Ikeda K, Kudo T . Noninvasive monitoring of β-cell mass and fetal β-cell genesis in mice using bioluminescence imaging. Exp Anim. 2012; 61(4):445-51. DOI: 10.1538/expanim.61.445. View

17.

Mauney J, Volloch V, Kaplan D . Matrix-mediated retention of adipogenic differentiation potential by human adult bone marrow-derived mesenchymal stem cells during ex vivo expansion. Biomaterials. 2005; 26(31):6167-75. DOI: 10.1016/j.biomaterials.2005.03.024. View

18.

Fushiki H, Hayakawa Y, Gomori A, Seo T, Tewari S, Ozaki S . In vivo imaging of obesity-induced inflammation in adipose tissue. Biochem Biophys Res Commun. 2009; 391(1):674-8. DOI: 10.1016/j.bbrc.2009.11.119. View

19.

Fabbrini E, Sullivan S, Klein S . Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications. Hepatology. 2009; 51(2):679-89. PMC: 3575093. DOI: 10.1002/hep.23280. View

20.

Hou T, Su W, Guo Z, Gong M . A Novel Diabetic Mouse Model for Real-Time Monitoring of Clock Gene Oscillation and Blood Pressure Circadian Rhythm. J Biol Rhythms. 2018; 34(1):51-68. PMC: 6757342. DOI: 10.1177/0748730418803719. View