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In the era of single-cell analysis, one always has to keep in mind the systemic nature of various diseases and how these diseases could be optimally studied. Comorbidities of the heart in neurological diseases as well as of the brain in cardiovascular diseases are prevalent, but how interactions in the brain–heart axis affect disease development and progression has been poorly addressed. Several brain and heart diseases share common risk factors. A better understanding of the brain–heart interactions will provide better insights for future treatment and personalization of healthcare, for heart failure patients’ benefit notably. We review here emerging evidence that studying noncoding RNAs in the brain–heart axis could be pivotal in understanding these interactions. We also introduce the Special Issue of the International Journal of Molecular Sciences RNAs in Brain and Heart Diseases—EU-CardioRNA COST Action.
Brain Diseases, blood [Biomarkers], RNA, Untranslated, blood [Brain Diseases], metabolism [Heart Diseases], Heart Diseases, blood [RNA, Untranslated], metabolism [Cell-Free Nucleic Acids], metabolism [Brain Diseases], blood [Heart Diseases], metabolism [RNA, Untranslated], Editorial, Animals, Humans, blood [Cell-Free Nucleic Acids], Cell-Free Nucleic Acids, Biomarkers, Signal Transduction, ddc: ddc:540
Brain Diseases, blood [Biomarkers], RNA, Untranslated, blood [Brain Diseases], metabolism [Heart Diseases], Heart Diseases, blood [RNA, Untranslated], metabolism [Cell-Free Nucleic Acids], metabolism [Brain Diseases], blood [Heart Diseases], metabolism [RNA, Untranslated], Editorial, Animals, Humans, blood [Cell-Free Nucleic Acids], Cell-Free Nucleic Acids, Biomarkers, Signal Transduction, ddc: ddc:540
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |