Anti-diabetic, Anti-cancer Activity and Associated Toxicity of Leucas aspera Extract in Wistar Albino Rats

In regenerative medicine, nanotechnology plays a vital role in the diagnosis, the delivery of therapeutic drugs and the treatment of many diseases and disorders. Due to the growing need to develop environmentally friendly technologies in material synthesis, the biosynthesis of Iron Oxide Nanoparticles (IOP) has received considerable attention over the past decades. Therefore, the community is now looking back for traditional medicines for various diseases after the practice of allopathic drugs with tremendous side effects. There are an increasing number of biomedical applications for iron oxide nanoparticles; as such uses are essential for in-vitro characterisation and in-vivo to ensure the bio-safety of these particles. The main complication of diabetes due to frequent lipid peroxidation is liver damage and renal dysfunction, but treatment with Leucas aspera has a pronounced effect on these indicators, which protects the organs from further damage. The current research supports the traditional use of Leucas aspera against diabetes mellitus and cancer, as well as the safety, effectiveness and potency of Leucas aspera leaf extract's anti-diabetic and anti-cancer effect in the in-vivo model. The overall results reveal that Leucas aspera has the potential and can be a candidate of choice without side effect.

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Biodistribution and Toxicity Assessment of Superparamagnetic Iron Oxide Nanoparticles In Vitro and In Vivo

Current Medical Science ◽

10.1007/s11596-018-1989-8 ◽

2018 ◽

Vol 38 (6) ◽

pp. 1096-1102 ◽

Cited By ~ 10

Author(s):

Qin Yu ◽

Xiao-qin Xiong ◽

Lei Zhao ◽

Ting-ting Xu ◽

Hao Bi ◽

...

Keyword(s):

Iron Oxide ◽

Iron Oxide Nanoparticles ◽

Superparamagnetic Iron Oxide ◽

Toxicity Assessment ◽

Superparamagnetic Iron Oxide Nanoparticles ◽

Oxide Nanoparticles

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Efficient and Rapid Labeling of Transplanted Cell Populations with Superparamagnetic Iron Oxide Nanoparticles Using Cell Surface Chemical Biotinylation for in Vivo Monitoring by MRI

Cell Transplantation ◽

10.3727/096368910x498250 ◽

2010 ◽

Vol 19 (4) ◽

pp. 419-429 ◽

Cited By ~ 20

Author(s):

Po-Wah So ◽

Tammy Kalber ◽

David Hunt ◽

Michael Farquharson ◽

Alia Al-Ebraheem ◽

...

Keyword(s):

Iron Oxide ◽

Iron Oxide Nanoparticles ◽

Cell Tracking ◽

Superparamagnetic Iron Oxide ◽

Superparamagnetic Iron Oxide Nanoparticles ◽

Cell Populations ◽

Oxide Nanoparticles ◽

Signal Loss

Determination of the dynamics of specific cell populations in vivo is essential for the development of cell-based therapies. For cell tracking by magnetic resonance imaging (MRI), cells need to internalize, or be surface labeled with a MRI contrast agent, such as superparamagnetic iron oxide nanoparticles (SPIOs): SPIOs give rise to signal loss by gradient-echo and T2-weighted MRI techniques. In this study, cancer cells were chemically tagged with biotin and then magnetically labeled with anti-biotin SPIOs. No significant detrimental effects on cell viability or death were observed following cell biotinylation. SPIO-labeled cells exhibited signal loss compared to non-SPIO-labeled cells by MRI in vitro. Consistent with the in vitro MRI data, signal attenuation was observed in vivo from SPIO-labeled cells injected into the muscle of the hind legs, or implanted subcutaneously into the flanks of mice, correlating with iron detection by histochemical and X-ray fluorescence (XRF) methods. To further validate this approach, human mesenchymal stem cells (hMSCs) were also employed. Chemical biotinylation and SPIO labeling of hMSCs were confirmed by fluorescence microscopy and flow cytometry. The procedure did not affect proliferation and multipotentiality, or lead to increased cell death. The SPIO-labeled hMSCs were shown to exhibit MRI signal reduction in vitro and was detectable in an in vivo model. In this study, we demonstrate a rapid, robust, and generic methodology that may be a useful and practical adjuvant to existing methods of cell labeling for in vivo monitoring by MRI. Further, we have shown the first application of XRF to provide iron maps to validate MRI data in SPIO-labeled cell tracking studies.

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