83 research outputs found
The effect of glutamine concentration on the activity of carbamoyl-phosphate synthase II and on the incorporation of [3H]thymidine into DNA in rat mesenteric lymphocytes stimulated by phytohaemagglutinin
The effect of time of addition of glutamine or nucleosides on proliferation of rat cervical lymph-node T-lymphocytes after stimulation by concanavalin A
The effect of various concentrations of nucleobases, nucleosides or glutamine on the incorporation of [3H]thymidine into DNA in rat mesenteric-lymph-node lymphocytes stimulated by phytohaemagglutinin
The rate of the AMP/adenosine substrate cycle in concanavalin-A-stimulated rat lymphocytes
A megbocsátás pszichológiája: kialakulása, hatásai és fejlesztése
A megbocsátás az interperszonális sérelmekre adott egyik lehetséges válasznak tekinthetÅ‘, melynek fókuszában a sérelmet elszenvedÅ‘ személy kognitÃv, érzelmi és viselkedéses válaszaiban bekövetkezÅ‘ proszociális változás áll. A megbocsátás mentális és fizikai egészségre kifejtett pozitÃv hatása jól dokumentált. Magas szintje alacsony szorongás- és depressziószinttel társul, illetve sikeresen csökkenti a stresszre adott fizikai választ (kortizol és kardiovaszkuláris reaktivitás). A megbocsátást - hatásai alapján - olyan emóció fókuszú megküzdési módként definiálhatjuk, mely sikeresen csökkenti az interperszonális sérelem nyomán kialakult stresszreakciót. Az utóbbi években számos intervenciós technikát dolgoztak ki, melyek a megbocsátás támogatását, illetve fejlesztését tűzték ki célként. Ezek a módszerek általában sikeresen növelik a megbocsátásra való hajlandóságot.</o:p
Transglutaminase 2 in cartilage homoeostasis: novel links with inflammatory osteoarthritis.
Transglutaminase 2 (TG2) is highly expressed during chondrocyte maturation and contributes to the formation of a mineralised scaffold by introducing crosslinks between extracellular matrix (ECM) proteins. In healthy cartilage, TG2 stabilises integrity of ECM and likely influences cartilage stiffness and mechanistic properties. At the same time, the abnormal accumulation of TG2 in the ECM promotes chondrocyte hypertrophy and cartilage calcification, which might be an important aspect of osteoarthritis (OA) initiation. Although excessive joint loading and injuries are one of the main causes leading to OA development, it is now being recognised that the presence of inflammatory mediators accelerates OA progression. Inflammatory signalling is known to stimulate the extracellular TG2 activity in cartilage and promote TG2-catalysed crosslinking of molecules that promote chondrocyte osteoarthritic differentiation. It is, however, unclear whether TG2 activity aims to resolve or aggravate damages within the arthritic joint. Better understanding of the complex signalling pathways linking inflammation with TG2 activities is needed to identify the role of TG2 in OA and to define possible avenues for therapeutic interventions
Computational Identification of Transcriptional Regulators in Human Endotoxemia
One of the great challenges in the post-genomic era is to decipher the underlying principles governing the dynamics of biological responses. As modulating gene expression levels is among the key regulatory responses of an organism to changes in its environment, identifying biologically relevant transcriptional regulators and their putative regulatory interactions with target genes is an essential step towards studying the complex dynamics of transcriptional regulation. We present an analysis that integrates various computational and biological aspects to explore the transcriptional regulation of systemic inflammatory responses through a human endotoxemia model. Given a high-dimensional transcriptional profiling dataset from human blood leukocytes, an elementary set of temporal dynamic responses which capture the essence of a pro-inflammatory phase, a counter-regulatory response and a dysregulation in leukocyte bioenergetics has been extracted. Upon identification of these expression patterns, fourteen inflammation-specific gene batteries that represent groups of hypothetically ‘coregulated’ genes are proposed. Subsequently, statistically significant cis-regulatory modules (CRMs) are identified and decomposed into a list of critical transcription factors (34) that are validated largely on primary literature. Finally, our analysis further allows for the construction of a dynamic representation of the temporal transcriptional regulatory program across the host, deciphering possible combinatorial interactions among factors under which they might be active. Although much remains to be explored, this study has computationally identified key transcription factors and proposed a putative time-dependent transcriptional regulatory program associated with critical transcriptional inflammatory responses. These results provide a solid foundation for future investigations to elucidate the underlying transcriptional regulatory mechanisms under the host inflammatory response. Also, the assumption that coexpressed genes that are functionally relevant are more likely to share some common transcriptional regulatory mechanism seems to be promising, making the proposed framework become essential in unravelling context-specific transcriptional regulatory interactions underlying diverse mammalian biological processes
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