Literature DB >> 35716295

Proteomics Reveals Long-Term Alterations in Signaling and Metabolic Pathways Following Both Myocardial Infarction and Chemically Induced Denervation.

Jennifer Ben Salem1,2,3, Jason S Iacovoni1, Denis Calise4, Dina N Arvanitis5,6, Francis Beaudry7,8.   

Abstract

Myocardial infraction (MI) is the principal risk factor for the onset of heart failure (HF). Investigations regarding the physiopathology of MI progression to HF have revealed the concerted engagement of other tissues, such as the autonomic nervous system and the medulla oblongata (MO), giving rise to systemic effects, important in the regulation of heart function. Cardiac sympathetic afferent denervation following application of resiniferatoxin (RTX) attenuates cardiac remodelling and restores cardiac function following MI. While the physiological responses are well documented in numerous species, the underlying molecular responses during the initiation and progression from MI to HF remains unclear. We obtained multi-tissue time course proteomics with a murine model of HF induced by MI in conjunction with RTX application. We isolated tissue sections from the left ventricle (LV), MO, cervical spinal cord and cervical vagal nerves at four time points over a 12-week study. Bioinformatic analyses consistently revealed a high statistical enrichment for metabolic pathways in all tissues and treatments, implicating a central role of mitochondria in the tissue-cellular response to both MI and RTX. In fact, the additional functional pathways found to be enriched in these tissues, involving the cytoskeleton, vesicles and signal transduction, could be downstream of responses initiated by mitochondria due to changes in neuronal pulse frequency after a shock such as MI or the modification of such frequency communication from the heart to the brain after RTX application. Development of future experiments, based on our proteomic results, should enable the dissection of more precise mechanisms whereby metabolic changes in neuronal and cardiac tissues can effectively ameliorate the negative physiological effects of MI via RTX application.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Autonomic nervous system; Bioinformatics; Heart failure; Integrative biology; Mass spectrometry; Myocardial infarction; Proteomics; Resiniferatoxin (RTX); Transient receptor potential vanilloid subtype 1 (TRPV1)

Mesh:

Year:  2022        PMID: 35716295     DOI: 10.1007/s11064-022-03636-7

Source DB:  PubMed          Journal:  Neurochem Res        ISSN: 0364-3190            Impact factor:   4.414


  59 in total

Review 1.  Heart-Brain Axis: Effects of Neurologic Injury on Cardiovascular Function.

Authors:  Pouya Tahsili-Fahadan; Romergryko G Geocadin
Journal:  Circ Res       Date:  2017-02-03       Impact factor: 17.367

Review 2.  Heart and brain interaction in patients with heart failure: overview and proposal for a taxonomy. A position paper from the Study Group on Heart and Brain Interaction of the Heart Failure Association.

Authors:  Wolfram Doehner; Dilek Ural; Karl Georg Haeusler; Jelena Čelutkienė; Reinaldo Bestetti; Yuksel Cavusoglu; Marco A Peña-Duque; Duska Glavas; Massimo Iacoviello; Ulrich Laufs; Ricardo Marmol Alvear; Amam Mbakwem; Massimo F Piepoli; Stuart D Rosen; Georgios Tsivgoulis; Cristiana Vitale; M Birhan Yilmaz; Stefan D Anker; Gerasimos Filippatos; Petar Seferovic; Andrew J S Coats; Frank Ruschitzka
Journal:  Eur J Heart Fail       Date:  2017-12-27       Impact factor: 15.534

3.  Structural abnormality of the hippocampus associated with depressive symptoms in heart failure rats.

Authors:  Hideaki Suzuki; Akira Sumiyoshi; Yasuharu Matsumoto; Ben A Duffy; Takeo Yoshikawa; Mark F Lythgoe; Kazuhiko Yanai; Yasuyuki Taki; Ryuta Kawashima; Hiroaki Shimokawa
Journal:  Neuroimage       Date:  2014-10-22       Impact factor: 6.556

Review 4.  The dementia of cardiac disease.

Authors:  Hurmina Muqtadar; Fernando D Testai; Philip B Gorelick
Journal:  Curr Cardiol Rep       Date:  2012-12       Impact factor: 2.931

5.  Identifying Pathophysiological Mechanisms in Heart Failure With Reduced Versus Preserved Ejection Fraction.

Authors:  Jasper Tromp; B Daan Westenbrink; Wouter Ouwerkerk; Dirk J van Veldhuisen; Nilesh J Samani; Piotr Ponikowski; Marco Metra; Stefan D Anker; John G Cleland; Kenneth Dickstein; Gerasimos Filippatos; Pim van der Harst; Chim C Lang; Leong L Ng; Faiez Zannad; Aelko H Zwinderman; Hans L Hillege; Peter van der Meer; Adriaan A Voors
Journal:  J Am Coll Cardiol       Date:  2018-09-04       Impact factor: 24.094

Review 6.  Cerebral blood flow impairment and cognitive decline in heart failure.

Authors:  Ana Ovsenik; Matej Podbregar; Andrej Fabjan
Journal:  Brain Behav       Date:  2021-05-14       Impact factor: 2.708

Review 7.  The genetic overlap between mood disorders and cardiometabolic diseases: a systematic review of genome wide and candidate gene studies.

Authors:  A T Amare; K O Schubert; M Klingler-Hoffmann; S Cohen-Woods; B T Baune
Journal:  Transl Psychiatry       Date:  2017-01-24       Impact factor: 6.222

8.  Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction.

Authors:  Muhammad Arif; Martina Klevstig; Rui Benfeitas; Stephen Doran; Hasan Turkez; Mathias Uhlén; Maryam Clausen; Johannes Wikström; Damla Etal; Cheng Zhang; Malin Levin; Adil Mardinoglu; Jan Boren
Journal:  Elife       Date:  2021-05-11       Impact factor: 8.140

9.  Multi-omics approaches for revealing the complexity of cardiovascular disease.

Authors:  Stephen Doran; Muhammad Arif; Simon Lam; Abdulahad Bayraktar; Hasan Turkez; Mathias Uhlen; Jan Boren; Adil Mardinoglu
Journal:  Brief Bioinform       Date:  2021-03-17       Impact factor: 11.622

10.  Relation Between Blood Pressure and Clinical Outcome in Hypertensive Subjects With Previous Stroke.

Authors:  Chan Joo Lee; Jinseub Hwang; Jaewon Oh; Sang-Hak Lee; Seok-Min Kang; Hyeon Chang Kim; Sungha Park
Journal:  J Am Heart Assoc       Date:  2017-12-06       Impact factor: 5.501

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