期刊
MOLECULAR PHARMACEUTICS
卷 18, 期 9, 页码 3181-3205出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.molpharmaceut.1c00486
关键词
nitric oxide (NO); intracellular signaling molecule; polymer; L-arginine; antibacterial agent
资金
- Scheme for Transformational and Advanced Research in Sciences (STARS), Ministry of Human Resource Development, Government of India [STARS/APR2019/CS/122/FS]
- Council of Scientific and Industrial Research (CSIR), Government of India, for the junior research fellowship (JRF)
- CSIR [01(2927)/2017/EMR-II]
Gasotransmitters are a subfamily of endogenous gaseous signaling molecules with various biomedical applications. Among them, nitric oxide (NO) has significant effects on the cardiovascular system, as well as in neurological, respiratory, and immunological systems. However, the low stability of gaseous NO in physiological conditions limits its therapeutic applications, requiring research on more stable NO delivery carriers.
Gasotransmitters belong to the subfamily of endogenous gaseous signaling molecules, which find a wide range of biomedical applications. Among the various gasotransmitters, nitric oxide (NO) has an enormous effect on the cardiovascular system. Apart from this, NO showed a pivotal role in neurological, respiratory, and immunological systems. Moreover, the paradoxical concentration-dependent activities make this gaseous signaling molecule more interesting. The gaseous NO has negligible stability in physiological conditions (37 degrees C, pH 7.4), which restricts their potential therapeutic applications. To overcome this issue, various NO delivering carriers were reported so far. Unfortunately, most of these NO donors have low stability, short half-life, or low NO payload. Herein, we review the synthesis of NO delivering motifs, development of macromolecular NO donors, their advantages/disadvantages, and biological applications. Various NO detection analytical techniques are discussed briefly, and finally, a viewpoint about the design of polymeric NO donors with improved physicochemical characteristics is predicted.
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