Author
Suresh Kumar
Bio: Suresh Kumar is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Fiber laser & Grid. The author has an hindex of 2, co-authored 4 publications receiving 107 citations.
Papers
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TL;DR: An improved method for rapid isolation of cardiomyocytes from neonatal mice, as well as the maintenance and propagation of such cultures for the long term is described.
Abstract: The primary culture of neonatal mice cardiomyocyte model enables researchers to study and understand the morphological, biochemical, and electrophysiological characteristics of the heart, besides being a valuable tool for pharmacological and toxicological studies. Because cardiomyocytes do not proliferate after birth, primary myocardial culture is recalcitrant. The present study describes an improved method for rapid isolation of cardiomyocytes from neonatal mice, as well as the maintenance and propagation of such cultures for the long term. Immunocytochemical and gene expression data also confirmed the presence of several cardiac markers in the beating cells during the long-term culture condition used in this protocol. The whole culture process can be effectively shortened by reducing the enzyme digestion period and the cardiomyocyte enrichment step.
105 citations
22 Dec 2005
TL;DR: The proposed grid model with Distributed Pipes (DP) abstraction named as, GDP, enables location independent intertask communication among processes on machines spread over a wide area distributed system.
Abstract: Existing grid models target purely data parallel applications without inter-task communication. This paper proposes a transparent programming model to support communicating parallel tasks in a wide area grid. The proposed grid model with Distributed Pipes (DP) abstraction named as, GDP, enables location independent intertask communication among processes on machines spread over a wide area distributed system. This approach enables anonymous migration of communicating parallel tasks adjusting to grid dynamics. The proposed model supports sequential load to coexist with parallel load. A prototype of the proposed model has been implemented over clusters of nodes spread across the Internet. A steady state equilibrium engineering problem was studied over the model. Performance studies show linear to super linear speed up for the application.
5 citations
DOI•
27 Oct 2021
TL;DR: Work and marital status played a significant role in determining the adherence to antidepressant medications among women and older age, having a paid work and married status were significantly associated with medication (antidepressants) adherence.
Abstract: Introduction: Treatment adherence and illness may not be related only by the severity of the illness but by so many other factors which impact on seeking and continuing treatment; yet severity of the illness will be one of the major factors influencing treatment adherence.
Methods: Female patients attending the psychiatric OPD, diagnosed with depression as per ICD-10 guidelines and provided informed consent participated in this questionnaire-based study. A total of 135 patients who attended the OPD in 9 months were assessed for the severity of depression and medication adherence by administering scales to assess the severity of depression and medication adherence was assessed by questioning about the drug taking and hospital attending behaviour. Out of this, thirty-one were attending for the first episode and hence were excluded from the analysis.
Results: Out of the 104 female patients diagnosed with depression of more than one episode, 44 (42.3%) had mild depression, 52 (50%) had moderate depression and 8 (7.7%) had severe depression. Twenty-nine women (27.9%) were on medications and 75 (72.1%) women were not taking their medications. While greater proportion of women with mild depression were adherent to medication (51.7%), more women with moderate depression didn’t adhere to medication (54.7%), even though such difference was statistically not significant. Older age, having a paid work and married status were significantly associated with medication (antidepressants) adherence.
Conclusions: Our results indicate that medication adherence is associated with factors other than severity of depression. Work and marital status played a significant role in determining the adherence to antidepressant medications among women.
Keywords: Depression, medication adherence, compliance, female patients
2 citations
02 Nov 2016
TL;DR: In this article, a thulium doped fiber ring laser with a slope efficiency of 31.8% was used to demonstrate passive mode locking with the gain medium acting as saturable absorber.
Abstract: We experimentally demonstrate a thulium doped fiber ring laser at 2020 nm with a slope efficiency of 31.8%. We also demonstrate passive mode locking characteristics with the gain medium acting as saturable absorber.
1 citations
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TL;DR: It is shown that ECs relied on glycolysis rather than on oxidative phosphorylation for ATP production and that loss of the gly colytic activator PFKFB3 in ECs impaired vessel formation.
1,033 citations
Federal Institute for Risk Assessment1, University of Oulu2, Centre for Health Protection3, University of Southern Denmark4, Mario Negri Institute for Pharmacological Research5, Imperial College London6, Merck KGaA7, Liverpool John Moores University8, Procter & Gamble9, University of Würzburg10, Charité11, University of Tampere12, University of Manchester13, Maastricht University14, National Institutes of Health15, Clariant16, Nestlé17, Pablo de Olavide University18, Vrije Universiteit Brussel19, University of Antwerp20, University of Tübingen21, Istituto Superiore di Sanità22
TL;DR: In this paper, Adler et al. present a survey of the authors' work in the field of bioinformatics, including the following authors:Sarah AdlerDavid BasketterStuart CretonOlavi PelkonenJan van BenthemValerie Zuang • Klaus Ejner AndersenAlexandre Angers-LoustauAynur AptulaAnna Bal-PriceEmilio Benfenati • Ulrike BernauerJos BessemsFrederic Y. BoisAlan BoobisEsther BrandonSusanne Bremer • Thomas
Abstract: Sarah AdlerDavid BasketterStuart CretonOlavi PelkonenJan van BenthemValerie Zuang • Klaus Ejner AndersenAlexandre Angers-LoustauAynur AptulaAnna Bal-PriceEmilio Benfenati • Ulrike BernauerJos BessemsFrederic Y. BoisAlan BoobisEsther BrandonSusanne Bremer • Thomas BroschardSilvia CasatiSandra CoeckeRaffaella CorviMark CroninGeorge Daston • Wolfgang DekantSusan FelterElise GrignardUrsula Gundert-RemyTuula HeinonenIan Kimber • Jos KleinjansHannu KomulainenReinhard KreilingJoachim KreysaSofia Batista LeiteGeorge Loizou • Gavin MaxwellPaolo MazzatortaSharon MunnStefan PfuhlerPascal PhrakonkhamAldert Piersma • Albrecht PothPilar PrietoGuillermo RepettoVera RogiersGreet SchoetersMichael Schwarz • Rositsa SerafimovaHanna TahtiEmanuela TestaiJoost van DelftHenk van LoverenMathieu Vinken • Andrew WorthJose ´-Manuel Zaldivar
482 citations
University of Mississippi Medical Center1, Veterans Health Administration2, University of Louisville3, University at Buffalo4, The Heart Research Institute5, Albert Einstein College of Medicine6, University of Würzburg7, Virginia Tech8, University of Virginia9, University of Southern California10, Huntington Medical Research Institutes11, Louisiana State University12, Harvard University13, National Institutes of Health14, University of California, Los Angeles15, Wayne State University16, Sant'Anna School of Advanced Studies17, Temple University18, University of California, Davis19, Cedars-Sinai Medical Center20, University of Duisburg-Essen21
TL;DR: The goal of this review is to provide best practice information regarding myocardial ischemia-reperfusion and infarction models and to provide increasing awareness of the need for rigor and reproducibility in designing and performing scientific research to ensure validation of results.
Abstract: Myocardial infarction is a prevalent major cardiovascular event that arises from myocardial ischemia with or without reperfusion, and basic and translational research is needed to better understand...
357 citations
TL;DR: H9C2 cells showed almost identical hypertrophic responses to those observed in primary cardiomyocytes following stimulation with hypertrophic factors, validates the importance of H9C1 cells as a model for in vitro studies of cardiac hypertrophy and supports current work with human cardiomeocyte cell lines for prospective molecular studies in heart development and disease.
Abstract: Cardiac hypertrophy is a major risk factor for heart failure and associated patient morbidity and mortality. Research investigating the aberrant molecular processes that occur during cardiac hypertrophy uses primary cardiomyocytes from neonatal rat hearts as the standard experimental in vitro system. In addition, some studies make use of the H9C2 rat cardiomyoblast cell line, which has the advantage of being an animal-free alternative; however, the extent to which H9C2 cells can accurately mimic the hypertrophic responses of primary cardiac myocytes has not yet been fully established. To address this limitation, we have directly compared the hypertrophic responses of H9C2 cells with those of primary rat neonatal cardiomyocytes following stimulation with hypertrophic factors. Primary rat neonatal cardiomyocytes and H9C2 cells were cultured in vitro and treated with angiotensin II and endothelin-1 to promote hypertrophic responses. An increase in cellular footprint combined with rearrangement of cytoskeleton and induction of foetal heart genes were directly compared in both cell types using microscopy and real-time rtPCR. H9C2 cells showed almost identical hypertrophic responses to those observed in primary cardiomyocytes. This finding validates the importance of H9C2 cells as a model for in vitro studies of cardiac hypertrophy and supports current work with human cardiomyocyte cell lines for prospective molecular studies in heart development and disease.
339 citations
University of Washington1, Erasmus University Rotterdam2, Harvard University3, National Institutes of Health4, University Medical Center Groningen5, Ludwig Maximilian University of Munich6, University of Minnesota7, University of Lübeck8, University of Glasgow9, Medical Research Council10, University of Iceland11, University of Zagreb12, New York University13, Boston University14, Technische Universität München15, Johns Hopkins University16, Queen Mary University of London17, University of Edinburgh18, Utrecht University19, Johns Hopkins University School of Medicine20, Greifswald University Hospital21, Wake Forest University22, St Thomas' Hospital23, University of Texas Health Science Center at Houston24, Cedars-Sinai Medical Center25, Group Health Research Institute26, University of Ferrara27, University of Dundee28, University of California, Los Angeles29, University of Split30, St George's, University of London31, University of Leicester32, Glenfield Hospital33
TL;DR: It is demonstrated that SCN10A, a candidate gene at the most significantly associated locus in this study, is expressed in the mouse ventricular conduction system, and treatment with a selective SCN 10A blocker prolongs QRS duration.
Abstract: The QRS interval, from the beginning of the Q wave to the end of the S wave on an electrocardiogram, reflects ventricular depolarization and conduction time and is a risk factor for mortality, sudden death and heart failure. We performed a genome-wide association meta-analysis in 40,407 individuals of European descent from 14 studies, with further genotyping in 7,170 additional Europeans, and we identified 22 loci associated with QRS duration (P < 5 × 10(-8)). These loci map in or near genes in pathways with established roles in ventricular conduction such as sodium channels, transcription factors and calcium-handling proteins, but also point to previously unidentified biologic processes, such as kinase inhibitors and genes related to tumorigenesis. We demonstrate that SCN10A, a candidate gene at the most significantly associated locus in this study, is expressed in the mouse ventricular conduction system, and treatment with a selective SCN10A blocker prolongs QRS duration. These findings extend our current knowledge of ventricular depolarization and conduction.
335 citations