278 research outputs found
Incorporation of curcumin in lipid based delivery systems and assessment of its bioaccessibility
No full textCurcumin, the major curcuminoid compound from turmeric (Curcuma longa) is a well-studied nutraceutical with many health promoting biological properties. The benefits of curcumin greatly dependon its solubilization (bioaccessibility) and subsequent absorption through cell lining so that it can reach systemic/general circulation. Unfortunately, curcumin has low water solubility and undergoes rapid metabolism on oral delivery. Lipids have shown to affect the absorption of poorly soluble nutraceuticals such as curcumin by enhancing solubilization in the intestinal milieu through alterations to the composition and character of the colloidal environment –e.g. vesicles, mixed micelles and micelles when delivered orally. Thus, the purpose ofthis study was to formulate threelipid-based delivery systems with curcuminoids –gel like emulsions, nanoemulsions andorganogels, and investigate their impact on in vitro solubilization or bioaccessibility. Curcumin was dissolved in MC T oil with the help of Span 20 to be used as the lipid phase. Gel-like emulsions, nanoemulsions andorganogelswere then formulated using the curcumin-MCT oil lipid phase using different types of sugar esters as organogelators and emulsifiers. The organogels and gel-like emulsions are viscoelastic in naturewith a solid dominant behaviorwhich was supported by the rheological data. Optical and fluorescence microscopic imaging helped understand the morphology ofcurcumin inthe lipidbased delivery systemsas well as the systems themselves. Digital scanning calorimetry was used to study the phase transitionsthat occurin the systems. The bioaccessibilityof the different lipid based delivery systemswas evaluated using in vitrolipolysis experiments (dynamic pH stat lipid digestion model). Results suggest that lipid based delivery systems have more bioaccessibility when compared to that of unformulated curcuminoids. The bioaccessibility of curcumin increased at least 6.4 folds when it was incorporated in a lipid based delivery system as compared to unformulated curcuminoids.O ut of the three systems tested, gel-like emulsions had the highest stability and thus can be good candidate for incorporation and delivery of curcumin.M.S.Includes bibliographical referencesby Kavitakumari H. Solank
Nanotechnology-based approaches for regenerative medicine and biosensing
No full textThe recent emergence of nanotechnology has set high expectations in many fields of science, especially in biology and medicine. Nanotechnology-based approaches are expected to solve key questions in the emerging field of regenerative medicine. Regenerative medicine essentially deals with regeneration of cells, ultimately leading to the formation of tissues and organs. For this purpose, stem cells, embryonic stem cells or adult stem cells, are thought to be ideal resources. However, many challenges need to be addressed before the full therapeutic potential of stem cells can be harnessed. Controlling the differentiation of stem cells into cells of a specific lineage is extremely vital and challenging. Addressing this challenge, in this work, novel nanotechnology-based approaches for controlling the differentiation of neural stem cells (NSCs) into neurons has been presented. Regeneration of damaged neurons, due to traumatic injuries or degenerative diseases, is extremely challenging. For this purpose, NSCs can be used as resources that can differentiate into neurons, thus having great potential in solving needs of many patients suffering from such conditions. For controlling the differentiation of stem cells, soluble cues (comprising of small molecules and biomolecules) and insoluble cues (cell-cell interactions and cell-microenvironment interactions) play a very important role. The delivery of soluble cues, such as genetic material, into stem cells is extremely challenging. The initial part of this work presents the use of nanomaterials for efficiently delivering soluble cues such as small molecules and small interfering RNA (siRNA) into NSCs for controlling their differentiation into neurons. However, for regenerative purposes, it is preferred that least amounts of the delivery vehicle be used. Thus, the following part of the thesis presents the development and applications of nanotechnology-based approaches for enhancing the differentiation of NSCs into neurons using insoluble cues. The cellular microenviroment, consisting for the extracellular matrix (ECM) was modified by the use of nanostructures, to deliver siRNA into NSCs to enhance neuronal differentiation. Nanotopography-mediated reverse uptake of only the siRNA molecules from the ECM was achieved by the NSCs. NSC differentiation was also controlled by the use of protein micropatterns, wherein the pattern geometry and size defined the fate of the NSCs. Lastly, graphene, in combination with nanoparticles was used as component of the ECM to not only enhance the differentiation of NSCs into neurons, but also align the axons of the differentiated NSCs, having significant implications for its use in regenerating injured spinal cords. The final portion of the thesis presents the applications of nanotechnology for developing highly sensitive and selective biosensors, for detecting biomarkers implicated in various diseases such as cancer and acute pancreatitis.Ph. D.Includes bibliographical referencesby Aniruddh P. Solank
Health status and treatment outcome of tuberculosis with diabetes mellitus cases, Rajkot City, Gujarat – A longitudinal study
No full textBackground: India, with the highest number of tuberculosis (TB) cases in the world, is also facing epidemic growth in diabetes mellitus (DM). TB is curable while DM is a metabolic and incurable disease that if not controlled will affect the health status of a person. This study was conducted to assess the health status and treatment outcome of TB with DM cases. Materials and Methods: We selected a total of 64 newly registered pulmonary TB (PTB) with DM cases from five tuberculosis units (TUs) in Rajkot city from October 2019 to December 2020. At the end of treatment, 64 cases were analyzed for treatment outcome and 56 cases (5 deaths; 3 lost to follow-up) were followed up to observe progression in health status. The information was collected in pretested proforma by interview. Results: There was a significant improvement in TB symptoms (cough, weight loss, weakness, anorexia, evening rise of temperature, dyspnea, chest pain, hemoptysis), DM symptoms (frequent urination, excessive thirst and hunger, tingling and numbness), symptoms of mental health (fatigue, sleep disturbance, negative emotions, socially inactive), and adverse drug reactions (ADRs) on consecutive visits (McNemar's test, P < 0.001) and at the end of treatment (Cochran's Q test, P < 0.001). Improvement of nutritional status was also found statistically significant on consecutive visits (Wilcoxon test, P < 0.001) and at the end of treatment (Friedman's test, P < 0.001). The cure rate was 82.8% and 4.7% of cases had completed treatment. Conclusion: At the end of treatment, there was a significant improvement in health status and treatment outcome; also good cure rate was reported among cases
Almost Unbiased Estimator Using Known Value of Population Parameter(s) in Sample Surveys
No full textAn almost unbiased estimator using known value of some population parameter(s) is proposed. A class of estimators is defined which includes Singh and Solanki (2012) and Sahai and Ray (1980), Sisodiya and Dwivedi (1981), Singh, Cauhan, Sawan, and Smarandache (2007), Upadhyaya and Singh (1984), Singh and Tailor (2003) estimators. Under simple random sampling without replacement (SRSWOR) scheme the expressions for bias and mean square error (MSE) are derived. Numerical illustrations are given
Editors and Reviewers Acknowledgement, 2(2), July-December, 2018
No full textThe Journal of Medical Research and Innovation would like to thank each and every one who has helped us to review and edit the articles. As a small token of appreciation, we would like to mention the names of all the editors and reviewers in random order here who have edited or reviewed the articles for the July, 2018 issue. The list will be updated as when more reviewers review the articles.
Editors
1) Varshil Mehta2) Shakti Goel3) Krutarth Shah
4) Sergey Kozhukhov
Reviewers
1) Shakti Goel
2) Varshil Mehta
3) Mykola Khaitovych
4) Rahul Kotian
5) Hira Lal
6) Prashant Pradhan
7) Pravin Padalkar
8) Saumya Agarwal
9) Mathew Asare
10) Edith Claros
11) Surya Parajuli
12) Rajesh Sharawat
13) Nishu Tyagi
14) Pradosh Sarangi
15) Deepak Jain
16) Hamsini C
17) Vicky Varghese
18) Nishtha Agarwal
19) Ishpreet Biji
20) Tushar Kunder
21) Rushi Solanki
22) Suvendu Maji
23) Sergey Kozhukhov
24) Shaunak Ajinky
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