000 03214nam a2200421 i 4500
999 _c361022
_d361022
001 361022
003 ES-MaUEC
005 20230102121312.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 210326s2021 sz a s |||| 0|eng d
020 _a9783030688448
024 7 _a10.1007/978-3-030-68844-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQP623
_b2021 EB
100 1 _aHolvoet, Paul
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9681315
245 1 0 _aNon-coding RNAs at the Cross-Road of Cardiometabolic Diseases and Cancer
_cby Paul Holvoet
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Publishing
_c2021
264 4 _c2021
300 _a1 recurso en línea (XXX, 265 páginas)
_b26 ilustraciones
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aBiomedical and Life Sciences (SpringerNature-11642)
490 0 _aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505 0 _aBiogenesis and Modes of Action Of miRs And Circular And Long Non-coding RNAs -- Obesity, Insulin Resistance in Adipose Tissue And Thermogenesis -- Type 2 Diabetes and Non-Alcoholic Fatty Liver Disease -- Atherosclerosis -- Cardiomyopathy and Heart Failure -- Cancer -- Communication between Tumor-Adjacent Tissues and Tumors with Emphasis on Role of Inflammatory Cells -- General Conclusions and Future Perspectives.
520 3 _aThis book gives insight into the functional role of non-coding RNAs in central pathways contributing to the development of obesity, type 2 diabetes, non-alcoholic fatty liver disease, atherosclerosis, myocardial infarction, cardiomyopathy, and heart failure. It also sheds light on the relationship of this cluster with cancer. Tumor cells, in contrast to cells in cardiometabolic tissues, can regulate this cluster of non-coding RNAs to escape from oxidative stress and anti-tumor immunity and maintain insulin sensitivity, facilitating cancer progression. The book presents a cluster of non-coding RNAs that may be prospectively analyzed in extensive cohort studies to determine their value in risk-predicting machine learning algorithms. In addition, it emphasizes the role of microvesicles in communication between tumor-adjacent tissue, inflammatory cells, and tumor cells, with a special focus on the role of miR-155. The book intends to promote interdisciplinary research. Due to the comprehensive background information provided in each chapter, it is suitable for researchers in academia and industry and for graduate students in biology, bioengineering, and medicine. .
988 _aSpringer_BiomedLife_2021
650 7 _2embne
_9140525
_aÁcidos nucleicos
776 0 8 _iPrinted edition:
_z9783030688431
776 0 8 _iPrinted edition:
_z9783030688455
776 0 8 _iPrinted edition:
_z9783030688462
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-68844-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2022
_dz
_ek
_zSI