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Kshirsagar, Sanjay
- Development of RP-HPLC Method for Separation of Atorvastatin Calcium, Amlodipine Besylate and Azilsartan Medoxomil and its Application to Analyze their Tablet Dosage Forms
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Authors
Affiliations
1 MET’S Institute of Pharmacy, Bhujbal Knowledge City, Adgaon, Nashik-422003, IN
1 MET’S Institute of Pharmacy, Bhujbal Knowledge City, Adgaon, Nashik-422003, IN
Source
Asian Journal of Pharmaceutical Research, Vol 7, No 3 (2017), Pagination: 148-154Abstract
A single, simple, accurate and precise RP-HPLC method has been developed for the separation amlodipine besylate in presence of azilsartan medoxomil and atorvastatin calciumand estimation in their respective combined dosage forms. The chromatographic separation was achieved on C18 column (250×4.6 mm, 5 μ) using Acetonitrile: 20 mM Phosphate buffer (pH 3) 60:40 v/v as a mobile phase at flow rate of 0.8 mL/min. The separation was achieved in isocratic mode and the detection was performed at 242 nm. Further the developed method was validated as per the ICH Q2 (R1) and applied for quantitation of atorvastatin calcium-amlodipine besylate and amlodipine besylate-azilsartan medoxomil in tablet formulations.Keywords
Amlodipine Besylate, Azilsartan Medoxomil, Atorvastatin Calcium, RP-HPLC, Analytical Method Validation.
- Synthesis and Evaluation of Antidiabetic Activity of Few 5-(4-(5-Substitutedphenyl)-1,3,4-Oxadiazlole-2-Yl) Methoxy)Benzylidene) Thiazolidine 2,4-Dione Derivatives
Abstract Views :462 |
PDF Views:0
Authors
Affiliations
1 MET’S Institute of Pharmacy, Bhujbal Knowledge City, Adgaon, Nashik-422003, Savitribai Phule Pune University, IN
1 MET’S Institute of Pharmacy, Bhujbal Knowledge City, Adgaon, Nashik-422003, Savitribai Phule Pune University, IN
Source
Asian Journal of Pharmaceutical Research, Vol 7, No 4 (2017), Pagination: 261-264Abstract
The aim of study was to synthesize a new series of Thiazolidinedione. Thiazolidinedione or glitziness forms a significant class of drug which exhibit biological activities ranging from antidiabetic, antiinflamatory, antibacterial, antifungal, antiviral, and anti-cancer. In the present study reported a systematic synthesis of thiazolidinedione. A new series of 2,4-thiazolidinedione based derivative have been synthesize by condensation of. The structure of these compounds were establish by IR and 1H NMR. These new compound (C1-C4) were evaluated for their antidiabetic activity on albino rat. Most of compound shows significant antidiabetic activity when compare with standard drug metformin.Keywords
Diabetic Mellitus, Thiazolidinedione, Antidiabetic Activity.References
- Mohd Javed Naim, Ozair Alam and Farah Nawaz RECENT TARGET BASED DISCOVERY OF ANTI-DIABETIC AGENTS India International Journal of Pharmaceutical Sciences and Research.
- Mohd Imran, deepanjali, suroor ahamd khan. Recent thiazolidinedione antidiabetic. Journal of scientific and industrial research vol 1 66 2007 February pp 99- 109.
- Prashant B Mane, Rishikesh V Antre and Rajesh J Oswal. Antidiabetic Drugs: An Overview. INTERNATIONAL JOURNAL OF PHARMACEUTICAL AND CHEMICAL SCIENCES.
- Swapana D, Shivagami B, Manasa K. Synthesis ans evaluation of novel thiazolidinedione derivative of antidiabetic activity. International Research Journal of Pharmacy.
- Rekha. S, Shantaram. U. SYNTHESIS AND EVALUATION OF NOVEL THIAZOLIDINEDIONES FOR ANTI DIABETIC ACTIVITY. International Journal of Pharmacy and Pharmaceutical Sciences ISSN- 0975-1491 Vol 3, Suppl 5, 2011
- Shashikant R. Pattana, Prajact Kekareb, Ashwini Patilc, Ana Nikaljec, BS Kitturd the Synthesis of Novel 2,4-ThiazolidinedioneDerivatives with Antidiabetic Activity Kitturd Iranian Journal of Pharmaceutical Sciences Autumn 2009: 5(4): 225-230
- Daniel J. Toft a, Miles Fuller a, Matthew Schipma b, Feng Chena, Vincent L. Cryns c αB-crystallin and HspB2 deficiency is protective from diet-induced glucose intolerance: www.elsevier.com
- Donald McClain, Animal Models of Diabetic Complications Consortium Intraperitoneal Glucose Tolerance Testing (IPGTT) Version: 1.0
- Amy R. Blair, Nadia Deluca, Barbara C. Fam, and Joseph Proietto Am. Evaluating the glucose tolerance test in mice Sofianos And rikopoulos. J Physiol Endocrinol Metab 295: E1323–E1332, 2008
- Objective Monitoring of Cardiovascular Biomarkers Using Artificial Intelligence (AI)
Abstract Views :71 |
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Authors
Sahil Mahajan
1,
Heemani Dave
1,
Santosh Bothe
2,
Debarshikar Mahpatra
3,
Sandeep Sonawane
1,
Sanjay Kshirsagar
1,
Santosh Chhajed
1
Affiliations
1 METs Institute of Pharmacy, Bhujbal Knowledge City, Affiliated to SPPU Pune University, Nashik, Maharashtra, IN
2 IEDC SVKM’s NMIMS University, Shirpur, Dist. Dhule, Maharashtra, IN
3 Department of Pharmaceutical Chemistry, Dadasaheb Balpande College of Pharmacy, Nagpur, Maharashtra, IN
1 METs Institute of Pharmacy, Bhujbal Knowledge City, Affiliated to SPPU Pune University, Nashik, Maharashtra, IN
2 IEDC SVKM’s NMIMS University, Shirpur, Dist. Dhule, Maharashtra, IN
3 Department of Pharmaceutical Chemistry, Dadasaheb Balpande College of Pharmacy, Nagpur, Maharashtra, IN
Source
Asian Journal of Pharmaceutical Research, Vol 12, No 3 (2022), Pagination: 229 - 234Abstract
Different CVDs (CVD) are the leading wreak of mortality and disability worldwide. The pathology of CVD is complex; multiple biological pathways have been involved. Biomarkers act as a measure of usual or pathogenic biological processes. They play a significant part in the definition, prognostication, and decision-making with respect to the treatment of cardiovascular events. Inthis article, we had summarized key biomarkers which are essential to predict CVDs. We had studied prevalence, pattern of expression of biomarkers (salivary, inflammatory, oxidative stress, chemokines, antioxidants, genetic, etc.), its measurable impact, benefits of early detection and its scope. A Considerable number of deaths due to cardiovascular diseases (CVDs) can be attributed to tobacco smoking and it rises the precarious of deathfrom coronary heart disease and cerebrovascular diseases. Cytokines which is categorized into pro inflammatory and anti-inflammatory take part in as biomarkers in CHD, MI, HF. Troponin, growth differentiation factor-15(GDF-15), C-reactive protein, fibrinogen, uric acid diagnose MI and CAD. Matrix Metalloproteins, Cell Adhesion Molecules, Myeloperoxidase, Oxidative stress biomarkers, Incendiary biomarkers are useful to predict the risk of UA, MI, and HF. Increased Endothelin-1, Natriuretic peptides, copeptin, ST-2, Galectin-3, mid-regional-pro-adrenomedullin, catecholamines are used to prognosticate Heart failure. Modern technologies like Artificial Intelligence (AI), Biosensor and high-speed data communication made it possible to collect the high-resolution data in real time. The high-resolution data can be analyzed with advance Machine Learning (ML) algorithms, it will not only help to discover the disease patterns but also an real-time and objective monitoring of bio-signals can help to discover the unknown patterns linked with CVD.
Keywords
CVDs, Biomarkers, Artificial Intelligence, Machine Learning, Personalized medicine, MonitoringReferences
- Ying Huang JL. MicroRNA208 family in CVDs: therapeutic implication and potential biomarker. Journal of Physiology and Biochemistry. 2015 April; 71: p. 479-486.
- Duvall WL. CVDs in Women. 2003 Oct.: p. 293-305.
- Asia Pacific Cohort Studies Collaboration, Clinical Trials Research Unit,. Blood Pressure and CVDs in the Asia Pacific region. Journal of Hypertension. 2003 Jan; 21(4): p. 707-716.
- David S. Celermajer, Clara K Chow, EloiMarijon. CVDs in the Developing World. Journal of the American College of Cardiology. 2012 Oct.; 60(14).
- Prof. Mathias M. Müller, Andrea Griesmacher. Rational Diagnosis of CVDs.the journal of International Federation of Clinical Chemistry and Laboratory Medicine. 2003 Jul 3; 14(2): p. 95-103.
- Isaac Subirana, Montserrat Fito, Oscar Diaz, Joan Vilaet.al. Prediction of coronary disease incidence by biomarkers of inflammation, oxidation, and metabolism. Scientific Report.2018 Feb.; 8(3191).
- Yayan, Josef. Emerging families of biomarkers for coronary artery disease: inflammatory mediators. V ascular Health and Risk Management.2013 July 31; 2013(9).
- Richard Dobson, Hamish A Walker, Niki L Walker. Biomarkers in congenital heart disease. Biomarkers in Medicine. 2014 01 August; 8(7).
- DrRamu Adela, Sanjay K. Banerjee. Review Article GDF-15 as a Target and Biomarker for Diabetes and CVDs: A Translational Prospective. Journal of Diabetes Research. 2015; 2015.
- D.Gianness, M.MaltintiS., Del Ryi. Adiponectin circulating levels: A new emerging biomarker of cardiovascular risk. Pharmacological Research. 2007 December; 56(6).
- Roland R J van Kimmenade, James L Januzzi. Emerging Biomarkers in Heart Failure.Clinical Chemistry. 2012 1 January; 58(1).
- S.H. Han et.al. Adiponectin and CVDs: response to therapeutic interventions. Journal of the American College of Cardiology. 2007 6 February; 49(5).
- Evelyn Barron, Jose Lara et.al. Blood-Borne Biomarkers of Mortality Risk: Systematic Review of Cohort Studies. PLoS ONE.2015 June 3; 10(6).
- KonstantinosStellosMR,S,Kea.Plasmalevelsofstromalcell-derived factor-1 in patients with coronary artery disease. Atherosclerosis. 2011; 219(2).
- Toru Suzuki, Eduardo Bossone, Daigo Sawaki, Rolf AlexanderJanosi et.al. Biomarkers of aortic diseases. American Heart Journal.2013 Jan; 165(1).
- Wu AHB. Markers for Early Detection of Cardiac Diseases.Scandinavian Journal of Clinical and Laboratory Investigation. 2009; 65, 2005
- Suzuki T, Katoh H, Kurabayashi M, et al. Biochemical diagnosis of aortic dissection by raised concentrations of creatine kinase BB isozyme. Lancet.1997; 350(9080).
- Toru Suzuki Alessandro Distante, AntonellaZizza, SantiTrimarchi, Massimo Villani et.al. Preliminary experience with the smooth muscle troponin-like protein, calponin, as a novel biomarker for diagnosing acute aortic dissectio. European Heart Journal.2008 June; 29(11).
- Said El Shamieh SVS. Genetic biomarkers of hypertension and future challenges integrating epigenomics. Clinica Chimica Acta.2012 24 December; 414.
- Beat heartbreak forever. [Online]. [cited 2020 August 2. Available from: https://www.bhf.org.uk/informationsupport/tests/blood-tests.
- Apple JAaF. Blood Tests Detecting Heart Disease.Circulation-AHA Journals.2004; 109(3).
- LabTestsOnline.[Online].;August12,2020.
- Peter. A. Kavsak, Alan.H.B.Wu. Biomarkers for Coronary Artery Disease and Heart Failure, Contemporary Practice in Clinical Chemistry.2020 19 June; p.519-543.
- Medical News Today Online. [Online].; June 7, 2019. https://www.medicalnewstoday.com/articles/325415
- “Creatine Kinase”. Merriam-Webster.com.; Aug https://www.merriam- webster.com/dictionary/creatine%20kinase
- Britannica, T. Editors of Encyclopaedia myoglobin. Encyclopedia Britannica.14 November 2017.
- Jean P. Dzoyem, Victor Kuete, Jacobus N. Eloff. Biochemical Parameters in Toxicological Studies in Africa: Significance, Principle of Methods, Data Interpretation, and Use in Plant Screenings. Toxicology Survey of African Medical Plants, 2014; p.659-715.
- GiuseppeLippi,CamillaMattiuzzi,IvanComelli,GianfrancoCervellin
- BiochemMed(Zagreb)2013Feb;23(1):78–82.
- Bełtowski J, Jamroz A. Adrenomedullin--what do we know 10 years since its discovery? Pol J Pharmacol. 2004 Jan-Feb;56(1):5-27.
- Epaminondas Zakynthinos, Nikolitsa Pappa, Inflammatory biomarkers in coronary artery disease,
- Journal of Cardiology, Volume 53, Issue 3,2009, p.317-333.
- Xu Jun-Yan, Xiong Yu-Yan, Lu Xiao-Tong, Yang Yue-Jin, Regulation of Type 2 Immunity in Myocardial Infarction, Frontiers in Immunology, Volume 10, 2019.
- Jung M, Ma Y, Iyer RP, et al. IL-10 improves cardiac remodeling after myocardial infarction by stimulating M2 macrophage polarization and fibroblast activation. Basic Res Cardiol. 2017;112(3):33.
- Castro Flávia, Cardoso Ana Patrícia, Gonçalves Raquel Madeira, Serre Karine, Oliveira Maria José.Interferon-Gamma at the Crossroads of Tumor Immune Surveillance or Evasion.Frontiers in Immunology 2018;9.
- Ravi Dhingra, Ramachandran S. Vasan.Biomarkers in cardiovascular disease: Statistical assessment and section on key novel heart failure biomarkers, Trends in Cardiovascular Medicine.2017, 27(2),p 123-133.