Inflammatory Burden and Immunomodulative Therapeutics of Cardiovascular Diseases.
Ting-Wei KaoChin-Chou HuangPublished in: International journal of molecular sciences (2022)
Phenotyping cardiovascular illness and recognising heterogeneities within are pivotal in the contemporary era. Besides traditional risk factors, accumulated evidence suggested that a high inflammatory burden has emerged as a key characteristic modulating both the pathogenesis and progression of cardiovascular diseases, inclusive of atherosclerosis and myocardial infarction. To mechanistically elucidate the correlation, signalling pathways downstream to Toll-like receptors, nucleotide oligomerisation domain-like receptors, interleukins, tumour necrosis factor, and corresponding cytokines were raised as central mechanisms exerting the effect of inflammation. Other remarkable adjuvant factors include oxidative stress and secondary ferroptosis. These molecular discoveries have propelled pharmaceutical advancements. Statin was suggested to confer cardiovascular benefits not only by lowering cholesterol levels but also by attenuating inflammation. Colchicine was repurposed as an immunomodulator co-administered with coronary intervention. Novel interleukin-1β and -6 antagonists exhibited promising cardiac benefits in the recent trials as well. Moreover, manipulation of gut microbiota and associated metabolites was addressed to antagonise inflammation-related cardiovascular pathophysiology. The gut-cardio-renal axis was therein established to explain the mutual interrelationship. As for future perspectives, artificial intelligence in conjunction with machine learning could better elucidate the sequencing of the microbiome and data mining. Comprehensively understanding the interplay between the gut microbiome and its cardiovascular impact will help identify future therapeutic targets, affording holistic care for patients with cardiovascular diseases.
Keyphrases
- oxidative stress
- cardiovascular disease
- artificial intelligence
- machine learning
- risk factors
- big data
- dna damage
- deep learning
- coronary artery disease
- diabetic rats
- healthcare
- induced apoptosis
- left ventricular
- ischemia reperfusion injury
- early stage
- randomized controlled trial
- heart failure
- cardiovascular risk factors
- ms ms
- cardiovascular events
- coronary artery
- metabolic syndrome
- current status
- drug induced
- endoplasmic reticulum stress
- chronic pain
- heat shock protein
- health insurance