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        <title>Journal of Translational Medicine - Most accessed articles</title>
        <link>http://www.translational-medicine.com</link>
        <description>The most accessed research articles published by Journal of Translational Medicine</description>
        <dc:date>2010-03-10T00:00:00Z</dc:date>
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                                <rdf:li rdf:resource="http://www.translational-medicine.com/content/8/1/16" />
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                    This is an RSS newsfeed from BioMed Central
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                    It is intended to be used with an RSS reader. For more information about RSS newsfeeds from BioMed Central, visit
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        <item rdf:about="http://www.translational-medicine.com/content/8/1/16">
        <title>Lasers, stem cells, and COPD</title>
        <description>The medical use of low level laser (LLL) irradiation has been occurring for decades, primarily in the area of tissue healing and inflammatory conditions. Despite little mechanistic knowledge, the concept of a non-invasive, non-thermal intervention that has the potential to modulate regenerative processes is worthy of attention when searching for novel methods of augmenting stem cell-based therapies. Here we discuss the use of LLL irradiation as a &quot;photoceutical&quot; for enhancing production of stem cell growth/chemoattractant factors, stimulation of angiogenesis, and directly augmenting proliferation of stem cells. The combination of LLL together with allogeneic and autologous stem cells, as well as post-mobilization directing of stem cells will be discussed.</description>
        <link>http://www.translational-medicine.com/content/8/1/16</link>
                <dc:creator>Feng Lin</dc:creator>
                <dc:creator>Steven Josephs</dc:creator>
                <dc:creator>Doru Alexandrescu</dc:creator>
                <dc:creator>Famela Ramos</dc:creator>
                <dc:creator>Vladimir Bogin</dc:creator>
                <dc:creator>Vincent Gammill</dc:creator>
                <dc:creator>Constantin Dasanu</dc:creator>
                <dc:creator>Rosalia De Necochea-Campion</dc:creator>
                <dc:creator>Amit Patel</dc:creator>
                <dc:creator>Ewa Carrier</dc:creator>
                <dc:creator>David Koos</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:16</dc:source>
        <dc:date>2010-02-16T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-16</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>16</prism:startingPage>
        <prism:publicationDate>2010-02-16T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.translational-medicine.com/content/8/1/10">
        <title>Anti-viral state segregates two molecular phenotypes of pancreatic adenocarcinoma: potential relevance for adenoviral gene therapy</title>
        <description>Background:
Pancreatic adenocarcinoma (PDAC) remains a leading cause of cancer mortality for which novel gene therapy approaches relying on tumor-tropic adenoviruses are being tested.
Methods:
We obtained the global transcriptional profiling of primary PDAC using RNA from eight xenografted primary PDAC, three primary PDAC bulk tissues, three chronic pancreatitis and three normal pancreatic tissues. The Affymetrix GeneChip HG-U133A was used. The results of the expression profiles were validated applying immunohistochemical and western blot analysis on a set of 34 primary PDAC and 10 established PDAC cell lines. Permissivity to viral vectors used for gene therapy, Adenovirus 5 and Adeno-Associated Viruses 5 and 6, was assessed on PDAC cell lines.
Results:
The analysis of the expression profiles allowed the identification of two clearly distinguishable phenotypes according to the expression of interferon-stimulated genes. The two phenotypes could be readily recognized by immunohistochemical detection of the Myxovirus-resistance A protein, whose expression reflects the activation of interferon dependent pathways. The two molecular phenotypes discovered in primary carcinomas were also observed among established pancreatic adenocarcinoma cell lines, suggesting that these phenotypes are an intrinsic characteristic of cancer cells independent of their interaction with the host&apos;s microenvironment. The two pancreatic cancer phenotypes are characterized by different permissivity to viral vectors used for gene therapy, as cell lines expressing interferon stimulated genes resisted to Adenovirus 5 mediated lysis in vitro. Similar results were observed when cells were transduced with Adeno-Associated Viruses 5 and 6.
Conclusion:
Our study identified two molecular phenotypes of pancreatic cancer, characterized by a differential expression of interferon-stimulated genes and easily recognized by the expression of the Myxovirus-resistance A protein. We suggest that the detection of these two phenotypes might help the selection of patients enrolled in virally-mediated gene therapy trials.</description>
        <link>http://www.translational-medicine.com/content/8/1/10</link>
                <dc:creator>Vladia Monsurro</dc:creator>
                <dc:creator>Stefania Beghelli</dc:creator>
                <dc:creator>Richard Wang</dc:creator>
                <dc:creator>Stefano Barbi</dc:creator>
                <dc:creator>Silvia Coin</dc:creator>
                <dc:creator>Giovanni Di Pasquale</dc:creator>
                <dc:creator>Samantha Bersani</dc:creator>
                <dc:creator>Monica Castellucci</dc:creator>
                <dc:creator>Claudio Sorio</dc:creator>
                <dc:creator>Stefano Eleuteri</dc:creator>
                <dc:creator>Andrea Worschech</dc:creator>
                <dc:creator>John Chiorini</dc:creator>
                <dc:creator>Paolo Pederzoli</dc:creator>
                <dc:creator>Harvey Alter</dc:creator>
                <dc:creator>Francesco Marincola</dc:creator>
                <dc:creator>Aldo Scarpa</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:10</dc:source>
        <dc:date>2010-01-29T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-10</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>10</prism:startingPage>
        <prism:publicationDate>2010-01-29T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.translational-medicine.com/content/5/1/30">
        <title>Stem cell therapy for autism</title>
        <description>Autism spectrum disorders (ASD) are a group of neurodevelopmental conditions whose incidence is reaching epidemic proportions, afflicting approximately 1 in 166 children. Autistic disorder, or autism is the most common form of ASD. Although several neurophysiological alterations have been associated with autism, immune abnormalities and neural hypoperfusion appear to be broadly consistent. These appear to be causative since correlation of altered inflammatory responses, and hypoperfusion with symptology is reported. Mesenchymal stem cells (MSC) are in late phases of clinical development for treatment of graft versus host disease and Crohn&apos;s Disease, two conditions of immune dysregulation. Cord blood CD34+ cells are known to be potent angiogenic stimulators, having demonstrated positive effects in not only peripheral ischemia, but also in models of cerebral ischemia. Additionally, anecdotal clinical cases have reported responses in autistic children receiving cord blood CD34+ cells. We propose the combined use of MSC and cord blood CD34+cells may be useful in the treatment of autism.</description>
        <link>http://www.translational-medicine.com/content/5/1/30</link>
                <dc:creator>Thomas Ichim</dc:creator>
                <dc:creator>Fabio Solano</dc:creator>
                <dc:creator>Eduardo Glenn</dc:creator>
                <dc:creator>Frank Morales</dc:creator>
                <dc:creator>Leonard Smith</dc:creator>
                <dc:creator>George Zabrecky</dc:creator>
                <dc:creator>Neil Riordan</dc:creator>
                <dc:source>Journal of Translational Medicine 2007, 5:30</dc:source>
        <dc:date>2007-06-27T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-5-30</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>5</prism:volume>
        <prism:startingPage>30</prism:startingPage>
        <prism:publicationDate>2007-06-27T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.translational-medicine.com/content/8/1/17">
        <title>miR-17-92 expression in differentiated T cells - implications for cancer immunotherapy</title>
        <description>Background:
Type-1 T cells are critical for effective anti-tumor immune responses. The recently discovered microRNAs (miRs) are a large family of small regulatory RNAs that control diverse aspects of cell function, including immune regulation. We identified miRs differentially regulated between type-1 and type-2 T cells, and determined how the expression of such miRs is regulated.
Methods:
We performed miR microarray analyses on in vitro differentiated murine T helper type-1 (Th1) and T helper type-2 (Th2) cells to identify differentially expressed miRs. We used quantitative RT-PCR to confirm the differential expression levels. We also used WST-1, ELISA, and flow cytometry to evaluate the survival, function and phenotype of cells, respectively. We employed mice transgenic for the identified miRs to determine the biological impact of miR-17-92 expression in T cells.
Results:
Our initial miR microarray analyses revealed that the miR-17-92 cluster is one of the most significantly over-expressed miR in murine Th1 cells when compared with Th2 cells. RT-PCR confirmed that the miR-17-92 cluster expression was consistently higher in Th1 cells than Th2 cells. Disruption of the IL-4 signaling through either IL-4 neutralizing antibody or knockout of signal transducer and activator of transcription (STAT)6 reversed the miR-17-92 cluster suppression in Th2 cells. Furthermore, T cells from tumor bearing mice and glioma patients had decreased levels of miR-17-92 when compared with cells from non-tumor bearing counterparts. CD4+ T cells derived from miR-17-92 transgenic mice demonstrated superior type-1 phenotype with increased IFN-&#947; production and very late antigen (VLA)-4 expression when compared with counterparts derived from wild type mice. Human Jurkat T cells ectopically expressing increased levels of miR-17-92 cluster members demonstrated increased IL-2 production and resistance to activation-induced cell death (AICD).
Conclusion:
The type-2-skewing tumor microenvironment induces the down-regulation of miR-17-92 expression in T cells, thereby diminishing the persistence of tumor-specific T cells and tumor control. Genetic engineering of T cells to express miR-17-92 may represent a promising approach for cancer immunotherapy.</description>
        <link>http://www.translational-medicine.com/content/8/1/17</link>
                <dc:creator>Kotaro Sasaki</dc:creator>
                <dc:creator>Gary Kohanbash</dc:creator>
                <dc:creator>Aki Hoji</dc:creator>
                <dc:creator>Ryo Ueda</dc:creator>
                <dc:creator>Heather McDonald</dc:creator>
                <dc:creator>Todd Reinhart</dc:creator>
                <dc:creator>Jeremy Martinson</dc:creator>
                <dc:creator>Michael Lotze</dc:creator>
                <dc:creator>Francesco Marincola</dc:creator>
                <dc:creator>Ena Wang</dc:creator>
                <dc:creator>Mitsugu Fujita</dc:creator>
                <dc:creator>Hideho Okada</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:17</dc:source>
        <dc:date>2010-02-18T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-17</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>17</prism:startingPage>
        <prism:publicationDate>2010-02-18T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.translational-medicine.com/content/8/1/22">
        <title>Biomedical informatics and translational medicine</title>
        <description>Biomedical informatics involves a core set of methodologies that can provide a foundation for crossing the &quot;translational barriers&quot; associated with translational medicine. To this end, the fundamental aspects of biomedical informatics (e.g., bioinformatics, imaging informatics, clinical informatics, and public health informatics) may be essential in helping improve the ability to bring basic research findings to the bedside, evaluate the efficacy of interventions across communities, and enable the assessment of the eventual impact of translational medicine innovations on health policies. Here, a brief description is provided for a selection of key biomedical informatics topics (Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records) and their relevance to translational medicine. Based on contributions and advancements in each of these topic areas, the article proposes that biomedical informatics practitioners (&quot;biomedical informaticians&quot;) can be essential members of translational medicine teams.</description>
        <link>http://www.translational-medicine.com/content/8/1/22</link>
                <dc:creator>Indra Sarkar</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:22</dc:source>
        <dc:date>2010-02-26T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-22</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>22</prism:startingPage>
        <prism:publicationDate>2010-02-26T00:00:00Z</prism:publicationDate>
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                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
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        <item rdf:about="http://www.translational-medicine.com/content/7/1/87">
        <title>Translating molecular medicine into clinical tools: doomed to fail by neglecting basic preanalytical principles</title>
        <description>This commentary discusses a study on measurements of matrix metalloproteinase 9 (MMP-9) in serum of pseudoxanthoma elasticum patients recently published in Journal of Molecular Medicine. This study can be considered the typical &quot;obstacle&quot; to effective translational medicine as previously documented in JTM journal. Although serum has been frequently proven as inappropriate sample for determining numerous circulating MMPs, among them MMP-9, there are over and over again studies, as in this case, that measure MMP-9 in serum. Comparative measurements in serum and plasma samples demonstrated higher concentrations for MMP-9 in serum due to the additional release from leukocytes and platelets following the coagulation/fibrinolysis process. From this example it can be concluded that translating basic research discoveries into clinical tools needs a more intensive exchange between basic biomedical research and clinical scientists already in an early stage. Otherwise a lost of translation, as discussed in JTM journal, seems to be inevitable.</description>
        <link>http://www.translational-medicine.com/content/7/1/87</link>
                <dc:creator>Klaus Jung</dc:creator>
                <dc:creator>Ferdinando Mannello</dc:creator>
                <dc:creator>Michael Lein</dc:creator>
                <dc:source>Journal of Translational Medicine 2009, 7:87</dc:source>
        <dc:date>2009-10-14T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-7-87</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>87</prism:startingPage>
        <prism:publicationDate>2009-10-14T00:00:00Z</prism:publicationDate>
                <prism:versionidentifier>XML</prism:versionidentifier>
                <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
    </item>
        <item rdf:about="http://www.translational-medicine.com/content/8/1/25">
        <title>Bridging the divide between science and journalism</title>
        <description>There are countless reasons nearly every scientist should learn how to communicate effectively with the media, including increased understanding of critical research findings to attract or sustain funding and build new professional partnerships that will further propel forward research. But where do scientists begin?  Bridging the Divide between Science and Journalism offers practical tips for any scientist looking to work with the media.Given the traditional and internet-based sources for medical research and healthcare-related news now available, it is imperative that scientists know how to communicate their latest findings through the appropriate channels. The credible media channels are managed by working journalists, so learning how to package vast, technical research in a form that is appetizing and &quot;bite-sized&quot; in order to get their attention, is an art. Reducing years of research into a headline can be extremely difficult and certainly doesn&apos;t come naturally to every scientist, so this article provides suggestions on how to work with the media to communicate your findings.</description>
        <link>http://www.translational-medicine.com/content/8/1/25</link>
                <dc:creator>Laura Van Eperen</dc:creator>
                <dc:creator>Francesco Marincola</dc:creator>
                <dc:creator>Jennifer Strohm</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:25</dc:source>
        <dc:date>2010-03-10T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-25</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>25</prism:startingPage>
        <prism:publicationDate>2010-03-10T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.translational-medicine.com/content/8/1/4">
        <title>Molecular signatures of maturing dendritic cells: implications for testing the quality of dendritic cell therapies</title>
        <description>Background:
Dendritic cells (DCs) are often produced by granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin-4 (IL-4) stimulation of monocytes. To improve the effectiveness of DC adoptive immune cancer therapy, many different agents have been used to mature DCs. We analyzed the kinetics of DC maturation by lipopolysaccharide (LPS) and interferon-&#947; (IFN-&#947;) induction in order to characterize the usefulness of mature DCs (mDCs) for immune therapy and to identify biomarkers for assessing the quality of mDCs.
Methods:
Peripheral blood mononuclear cells were collected from 6 healthy subjects by apheresis, monocytes were isolated by elutriation, and immature DCs (iDCs) were produced by 3 days of culture with GM-CSF and IL-4. The iDCs were sampled after 4, 8 and 24 hours in culture with LPS and IFN-&#947; and were then assessed by flow cytometry, ELISA, and global gene and microRNA (miRNA) expression analysis.
Results:
After 24 hours of LPS and IFN-&#947; stimulation, DC surface expression of CD80, CD83, CD86, and HLA Class II antigens were up-regulated. Th1 attractant genes such as CXCL9, CXCL10, CXCL11 and CCL5 were up-regulated during maturation but not Treg attractants such as CCL22 and CXCL12. The expression of classical mDC biomarker genes CD83, CCR7, CCL5, CCL8, SOD2, MT2A, OASL, GBP1 and HES4 were up-regulated throughout maturation while MTIB, MTIE, MTIG, MTIH, GADD45A and LAMP3 were only up-regulated late in maturation. The expression of miR-155 was up-regulated 8-fold in mDCs.
Conclusion:
DCs, matured with LPS and IFN-&#947;, were characterized by increased levels of Th1 attractants as opposed to Treg attractants and may be particularly effective for adoptive immune cancer therapy.</description>
        <link>http://www.translational-medicine.com/content/8/1/4</link>
                <dc:creator>Ping Jin</dc:creator>
                <dc:creator>Tae Hee Han</dc:creator>
                <dc:creator>Jiaqiang Ren</dc:creator>
                <dc:creator>Stefanie Saunders</dc:creator>
                <dc:creator>Ena Wang</dc:creator>
                <dc:creator>Francesco Marincola</dc:creator>
                <dc:creator>David Stroncek</dc:creator>
                <dc:source>Journal of Translational Medicine 2010, 8:4</dc:source>
        <dc:date>2010-01-15T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-8-4</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>8</prism:volume>
        <prism:startingPage>4</prism:startingPage>
        <prism:publicationDate>2010-01-15T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.translational-medicine.com/content/7/1/29">
        <title>Non-expanded adipose stromal vascular fraction cell therapy for
multiple sclerosis</title>
        <description>The stromal vascular fraction (SVF) of adipose tissue is known to contain mesenchymal stem cells (MSC), T regulatory cells, endothelial precursor cells, preadipocytes, as well as anti-inflammatory M2 macrophages. Safety of autologous adipose tissue implantation is supported by extensive use of this procedure in cosmetic surgery, as well as by ongoing studies using in vitro expanded adipose derived MSC. Equine and canine studies demonstrating anti-inflammatory and regenerative effects of non-expanded SVF cells have yielded promising results. Although non-expanded SVF cells have been used successfully in accelerating healing of Crohn&apos;s fistulas, to our knowledge clinical use of these cells for systemic immune modulation has not been reported. In this communication we discuss the rationale for use of autologous SVF in treatment of multiple sclerosis and describe our experiences with three patients. Based on this rationale and initial experiences, we propose controlled trials of autologous SVF in various inflammatory conditions.</description>
        <link>http://www.translational-medicine.com/content/7/1/29</link>
                <dc:creator>Neil Riordan</dc:creator>
                <dc:creator>Thomas Ichim</dc:creator>
                <dc:creator>Wei-Ping Min</dc:creator>
                <dc:creator>Hao Wang</dc:creator>
                <dc:creator>Fabio Solano</dc:creator>
                <dc:creator>Fabian Lara</dc:creator>
                <dc:creator>Miguel Alfaro</dc:creator>
                <dc:creator>Jeorge Paz Rodriguez</dc:creator>
                <dc:creator>Robert Harman</dc:creator>
                <dc:creator>Amit Patel</dc:creator>
                <dc:creator>Michael Murphy</dc:creator>
                <dc:creator>Roland Lee</dc:creator>
                <dc:creator>Boris Minev</dc:creator>
                <dc:source>Journal of Translational Medicine 2009, 7:29</dc:source>
        <dc:date>2009-04-24T00:00:00Z</dc:date>
        <dc:identifier>doi:10.1186/1479-5876-7-29</dc:identifier>
        <prism:publicationName>Journal of Translational Medicine</prism:publicationName>
        <prism:issn>1479-5876</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>29</prism:startingPage>
        <prism:publicationDate>2009-04-24T00:00:00Z</prism:publicationDate>
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        <item rdf:about="http://www.translational-medicine.com/content/7/1/97">
        <title>Inflammatory mechanisms in ischemic stroke: therapeutic approaches</title>
        <description>Acute ischemic stroke is the third leading cause of death in industrialized countries and the most frequent cause of permanent disability in adults worldwide. Despite advances in the understanding of the pathophysiology of cerebral ischemia, therapeutic options remain limited. Only recombinant tissue-plasminogen activator (rt-PA) for thrombolysis is currently approved for use in the treatment of this devastating disease. However, its use is limited by its short therapeutic window (three hours), complications derived essentially from the risk of hemorrhage, and the potential damage from reperfusion/ischemic injury. Two important pathophysiological mechanisms involved during ischemic stroke are oxidative stress and inflammation. Brain tissue is not well equipped with antioxidant defenses, so reactive oxygen species and other free radicals/oxidants, released by inflammatory cells, threaten tissue viability in the vicinity of the ischemic core. This review will discuss the molecular aspects of oxidative stress and inflammation in ischemic stroke and potential therapeutic strategies that target neuroinflammation and the innate immune system. Currently, little is known about endogenous counterregulatory immune mechanisms. However, recent studies showing that regulatory T cells are major cerebroprotective immunomodulators after stroke suggest that targeting the endogenous adaptive immune response may offer novel promising neuroprotectant therapies.</description>
        <link>http://www.translational-medicine.com/content/7/1/97</link>
                <dc:creator>Shaheen Lakhan</dc:creator>
                <dc:creator>Annette Kirchgessner</dc:creator>
                <dc:creator>Magdalena Hofer</dc:creator>
                <dc:source>Journal of Translational Medicine 2009, 7:97</dc:source>
        <dc:date>2009-11-17T00:00:00Z</dc:date>
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        <prism:issn>1479-5876</prism:issn>
        <prism:volume>7</prism:volume>
        <prism:startingPage>97</prism:startingPage>
        <prism:publicationDate>2009-11-17T00:00:00Z</prism:publicationDate>
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