Abstract
Release of cell free DNA (cfDNA) from damaged or dead cells routinely occurs in normal physiology. Recently, cfDNA has emerged as an essential biomarker in cardiovascular disease (CVD) of potential prognostic and diagnostic significance. Within the last decade, significant research efforts have been devoted to uncovering the mechanisms mediating cfDNA release and its outcome-predicting ability. The current review focuses on the pathways for cfDNA release in myocardial infarction, heart failure and hypertension, and discusses implementation of cfDNA monitoring to assess the overall development of these disease states and predict future complications.
Keywords: cfDNA, inflammation, cardiovascular disease, MMPs
1. Introduction: cfDNA and its origins
Extracellular DNA, or cell-free DNA (cfDNA), is highly fragmented double-stranded DNA, which freely circulates in body fluids (plasma/serum, urine, cerebrospinal fluid, etc) under normal physiological conditions. cfDNA is known to increase due to exercise, increased age, as well as in pathological conditions, such as cardiovascular diseases (CVD) including hypertension, myocardial infarction (MI) and heart failure (Figure 1).[1–7]
FIGURE 1. Schematic representation of cfDNA involvement in cardiovascular disease.

In a disease state, such as hypertension, MI or HF, cfDNA release can be triggered from the injured tissue. cfDNA can be generated as a result of cellular breakdown, and subsequent release of the content of the dead cells into the bloodstream. Dependent on the type of cell death - apoptosis or necrosis - smaller or larger cfDNA fragments will be detected, respectively. Active release from living cells via exosomes, NETosis or vesicular transport is associated with immune cell activation and increased levels of cytokines, chemokines and MMPs.
cfDNA was first considered a promising new biomarker when the concept of “liquid biopsy” was conceived as a result of seminal research in the field of oncology.[8–10] Since then, multiple studies have been devoted to the role of cfDNA in various pathological conditions. Despite these research efforts, many aspects of cfDNA-related processes remain mostly unclear. For example, the origin of cfDNA is still to be fully determined. Potentially, there are two major sources of cfDNA bloodstream release, ie, due to cellular breakdown predominantly caused by necrosis, apoptosis and active release of cfDNA from living cells (exogenous and endogenous DNA fragments resulting from vesicular transport, exosomes, release from hematopoietic cells, macromolecular complexes, neutrophil extracellular traps etc.). [11] The term extracellular DNA may also include circulating mitochondrial DNA (mtDNA), which plays a crucial role in cardiac cell damage - mtDNA is recognized as a part of circulating danger-associated molecular patterns (DAMPs).[12, 13] mtDNA has similarity with bacterial DNA, and may become an inflammogenic factor (if autophagy is impaired).[14, 15] In many ways, the structural features of cfDNA depend on the mode of release and its origin; the ability to detect specific cfDNA characteristics and subtypes may possess prognostic potential and provide important information for diagnosis.[1, 16]
Whether cfDNA was formed as a result of apoptosis or necrosis may be characterized by the size of DNA fragments. DNA released via apoptotic mechanisms is initially cleaved into large fragments of 50–300 kb with subsequent degradation into smaller fragments (180 – 200 bp) facilitating by endonuclease(s).[17–20] Unlike programmed cell death, necrosis in response to injury, trauma, or sepsis can be recognized by the presence of high molecular weight cfDNA (~10000 bp).[17, 19] Normally, apoptotic and necrotic bodies with fragmented cellular organelles and DNA would be cleared via phagocytosis, which is essential for tissue homeostasis.[21, 22] However, impaired clearance mechanisms would cause accumulation of cfDNA that might later lead to an auto-inflammatory response.[23–25] Our understanding of the role of cfDNA during hypertension and post-MI remodeling however, is incomplete. Since cfDNA has been implicated as a strong biomarker for hypertension and myocardial damage, this review is focused on the strength and feasibility and potential mechanisms.
2. cfDNA in Cardiovascular Disease
2.1. Hypertension.
Uncontrolled hypertension has been shown to be an independent determinant for elevated cfDNA.[2, 26] Hypertension is a chronic complex condition associated with a high mortality risk. A growing body of literature suggests a strong link between inflammation and hypertension, however, whether inflammation is a source or outcome of blood pressure increase still remains a matter for debate.[27–30] Augmented cfDNA levels have been linked to multiple cardiometabolic risk factors including increased systemic inflammation, elevated low-density lipoprotein cholesterol and triglyceride levels, and higher systolic blood pressure and pulse pressure in both sexes.[2] During hypertension, tissues and organs undergo prolonged exposure to damaging factors such as oxidative stress, inflammation, and increased Ang II levels.[31] An important outcome of the inflammation induced by Ang II is increased vascular reactive oxygen species (ROS) formation.[32–34] As a consequence of oxidative stress, damage of genomic DNA occurs, which may contribute to the total pool of cfDNA circulating in the bloodstream, and result in activation of toll-like receptor (TLR) signaling pathway followed by vascular dysfunction and increased blood pressure.[12, 35]
Patients with elevated blood pressure and diabetes were demonstrated to have elevated levels of cfDNA indicting a possible association with decreased arterial elasticity.[2, 26] Plasma cfDNA levels are elevated in patients with undergoing hemodialysis compared with healthy controls and were linked to vascular injury not inflammatory status.[26] It was shown that in post-menopausal women not using hormone replacement therapy, an increase in cfDNA levels indicated arterial stiffness (higher stiffness index and Young’s elastic modulus and lower carotid artery compliance), systemic inflammation (elevated C-reactive protein (CRP), IL-6 and TNF-α levels), impaired glucose metabolism and elevated blood pressure.[2] The association of cfDNA levels with increased inflammation was attenuated in women on estrogen-based hormone replacement therapy. These studies suggests that the elevated cfDNA may be indicative of ongoing vascular endothelial injury and support the notion that cfDNA may represent a novel way to monitor hypertension progression at the molecular level.
2.2. Myocardial Infarction and Ischemic Heart Failure.
The use of cfDNA as a biomarker for MI and development of heart failure is an attractive alternative to existing tests. After MI, cfDNA increases up to 50-fold compared with healthy controls.[1, 5, 36–38] When assessing time of release, cfDNA is significantly elevated in MI patients prior to intervention (0–2 h after onset of chest pain) compared to healthy individuals (AUC =0.8117, p-value <0.001).[1] After percutaneous coronary intervention, cfDNA accumulates at a faster rate, and then returns to baseline after 1–2 days, while the more commonly used biomarker, troponin, remains elevated. [1]
In vitro studies have shown that genetic content in cfDNA may contribute to the immune response.[39] An increase in circulating myeloperoxidase–DNA complexes was found to be strictly specific to neutrophil activation in patients with severe coronary atherosclerosis.[40] Significant positive associations were also observed between neutrophil activation marker elastase–α1-PI complexes and cfDNA levels (Spearman correlation value =0.257; p-value <0.001).[40] Neutrophils are a major source of MMPs, specifically MMP-8 and −9, and play a critical role in the cardiac wound healing process after an MI.[41–43] Whether cfDNA is acting on inflammatory cells to initiate changes in activation status post-MI is unknown, and requires further studies.
In plasma from MI patients, cfDNA correlates with well-established markers of necrosis such as troponin, creatine kinase (CK), CRP, as well as a decrease in ejection fraction.[5, 44–48] Such a tight correlation between cfDNA levels and these necrotic markers may indicate that the amount of released cfDNA depends on the severity of the myocardial injury. The CK test is often used as a means to test injury or stress to the heart.[1, 5, 44] Interestingly, cardiac cfDNA levels were increased in MI patients with normal (<200 μg/L) CK levels suggesting greater sensitivity.[1] A comparison of troponin levels to cardiac cfDNA in 57 samples from MI patients demonstrated a strong relationship between the two biological variables (Spearman correlation value=0.79; p-value < 0.0001). Majority (79%) of the MI samples were positive for both troponin and cardiac cfDNA, 7% were negative for both, 11% were positive only for troponin, and 4% were weakly positive only for cardiac cfDNA.[1] These studies seem to indicate that cfDNA may be a stronger biomarker than some of the more traditional ones currently used in the clinic.
A multimarker test that includes cfDNA may complement CK and troponin testing. Due to what we do know about cfDNA and inflammation, adding cfDNA to a multimarker panel may also give us insight into the inflammatory status of the patient. The use of a multimarker panel will also capitalize on the differences in the rates of release and clearance of these biomarkers (Table 1). Cardiac troponin has been shown to be detectable as early as 6 hours post-MI; however, troponin does not reflect current cardiovascular status as levels can remain elevated up to 14 hours after hospital admission.[49] The half-life of cfDNA is not completely clear, although multiple studies suggest dynamic changes in the levels – from 4 – 30 min.[9, 10, 17, 50] Rapid changes in cfDNA should be considered an advantage as it might serve as a powerful tool to monitor the response immediately after treatment.
Table 1.
Kinetics of known biomarkers for myocardial infarction
| Marker | Kinetics | References | |
|---|---|---|---|
| Detection limits (from baseline to peak) | Clearance | ||
| cfDNA | Increases within 0 – 2 hours after onset of a chest pain | Remains elevated at 24 hours | [1, 5, 37, 38, 44, 45] |
| Cardiac troponin | Increases within 6 hours up to 24 – 48 hours of post-MI (the degree of elevation correlates with infarct zone size) | Elevated up to 14 days | [1, 5, 44, 49] |
| CK | Increases within 6 hours peaking around 24 hours of onset of MI | Decreases within 2–3 days | [1, 5, 44] |
| CRP | Peaks around days 1–2 | Elevated for several weeks | [1, 5, 46, 48] |
| Inflammatory cytokines (i.e. IL-6 and Tnfα) | Increases as early as 45 min and peaks within 1–2 days post-MI | Above normal levels after 12 weeks | [47, 48, 77] |
| MMPs | increase during the first hours post-MI | Remains elevated up to 14 days | [42, 43, 77] |
CK – creatine kinase; MMPs – matrix metalloproteinases; CRP - C-reactive protein
There is a clear need for the identification of biomarkers that have mechanistic implications, and can accurately and reliably predict the development of heart failure post-MI. The potential for cfDNA as a biomarker for heart failure post-MI is still under evaluation. To ensure the translation of cfDNA into the clinic, the clinical and research community will need to define the practical considerations of this approach.
3. Future Directions
As a relatively new biomarker, cfDNA has shown great promise in medical practice, including during prenatal testing and as a liquid biopsy for cancer; however, not much is understood in regards to the mechanism of action in CVD. Further exploration of the association of CVD and cfDNA will enhance its clinical utility to better address patients’ needs and treatment (Table 2). To detect cfDNA with high specificity and reactivity, a variety of approaches have been developed including droplet digital PCR and molecular index-based next generation sequencing technologies.[51, 52] All of them have benefits and limitations associated with increased sample variation during sample preparation steps, such as extraction and purification.[53, 54]
Table 2.
Strengths and weaknesses of cell-free DNA as a biomarker for hypertension and myocardial infarction.
| Disease | Strengths | Limitations | References |
|---|---|---|---|
| Hypertension |
|
|
[2, 26] |
| Myocardial infarction |
|
|
[1, 5, 37, 38, 44, 45] |
Depending on the methodology used, a cutoff level of cfDNA >0.20 mg/ml has been suggested to distinguish between experimental group and controls with a sensitivity of 69–79% and a specificity of 83–89%.[55] Amplification-based target enrichment techniques such as multiplex-PCR next-generation sequencing improves sensitivity by eliminating genomic DNA regions that are not of interest and usually do not require a large amount of DNA.[56] In lung cancer patients, multiplex-PCR next-generation sequencing demonstrated a sensitivity >99% for single-nucleotide variants and a specificity of 99.6% with as less as 20 ng of cfDNA as input material.[57] Optimizing the workflow is another way to increase the reliability of the cfDNA analysis. Adding quality control steps such as measuring cfDNA concentration and integrity and cellular DNA contamination and potential PCR inhibitors (e.g. heparin, hormones, immunoglobulin G and lactoferrin) during cfDNA extraction can facilitate the implementation of cfDNA analysis into clinical routine.[58]
Moss et al. developed a method focused on identifying and locating tissue damage using the specific methylation pattern of cfDNA.[1, 16] By deconvolution of the genome-wide methylation profiles, they were able to determine cellular origins of cfDNA in healthy and diseased patients.[16] Moss et al. suggested was that refinement of the methylome atlas of individual cell types (purified from fresh tissue), rather than whole tissues is needed to enhance cfDNA interpretation. The analysis of the amount and methylation status of cfDNA at early stages after MI may be a good biomarker for evaluation of severity of cardiac myocytes injury, and further prognosis of disease.
Liquid biopsy studies have also suggested that cfDNA molecules originating from different tissues have distinct base-pair sizes.[59–62] Pregnant women have been shown to have two populations of circulating DNA: one from the fetus and one from the mother.[59, 60] Interestingly, the DNA molecules from the fetus were shorter than the maternal DNA. This was also demonstrated after transplant in solid organ transplantation patients and mouse xenograft models where cfDNA molecules that had originated from the transplanted organ/donor were shorter than the recipient cfDNA.[61, 62] The detection and performance of plasma DNA as a biomarker for cancer progression improved when size-capture sequencing was used to enrich for tumor DNA.[63, 64]. Considering the successful applications in pre-natal and cancer screening, it may be of clinical significance to incorporate the size characteristic in future CVD studies.
Using these techniques may facilitate in a better understanding of the cell-specific role cfDNA plays in CVD. In a mouse model of rheumatoid arthritis, blocking cfDNA actions decreased immune cell activation and MMP secretion.[65] In post-MI patients, cfDNA within the coronary artery positively correlated with macrophage accumulation in coronary plaques.[66] Neutrophil extracellular traps also contain cfDNA (nuclear and/or mitochondrial) and are believed to initiate an inflammatory response through the activation of TLR signaling pathways.[12, 14, 67, 68] In a similar fashion, mtDNA has been shown to activate Ly6C+ monocytes through TLR-9 resulting in prostaglandin E2 production.[69] Further evidence for the involvement of TLRs in cfDNA-evoked response was provided by Nishimoto et al. whereby elevated TLR9 expression and cfDNA were found to increase capillary density and promote blood flow recovery after ischemic injury in skeletal muscle.[70] Additional studies evaluating the mechanism behind cfDNA, inflammation, and MMP production (and how these processes are associated with CVD risk) is needed.
One of the main limitations of the current literature is the lack of long-term data. Because the mean half-life of cfDNA is relatively short (degraded within 4 – 30 minutes), understanding the kinetic parameters of cfDNA is important in order to develop a longitudinal diagnostic tool. [6, 9, 10, 17, 50, 71, 72] How cfDNA correlates with chronic hypertension or later MI-induced complications such as development of heart failure is unknown. Follow-up studies that link the initial rise in cfDNA to chronic disease states and late-onset complications would allow us to better understand the strength of cfDNA as a CVD biomarker.
4. Conclusions
Detection of circulating cfDNA fragments is a promising, non-invasive, inexpensive and readily available prognostic biomarker. It has already found widespread application in prenatal care, where the fetal cfDNA in maternal plasma is used for early diagnosis of genetic disease, and preeclampsia; in addition, cfDNA is an emerging biomarker in oncology, rheumatology, transplant medicine and some kidney diseases.[17, 23, 73–76] Based on numerous research and clinical studies, cfDNA analysis may be implemented into diagnosis and prognosis of CVD.
HIGHLIGHTS.
cfDNA is a biomarker for diagnosis and prognosis of cardiovascular disease
cfDNA is released from living cells via exosomes, NETosis, or vesicular transport
cfDNA activates immune cells and increases cytokines, chemokines, and MMPs
Future studies should be focused on optimizing sample preparation to increase reliability of cfDNA analysis.
Funding Sources.
This work was supported by the National Institute of Health (NIDDK) R00DK105160 to DVI, (NIDA) U54DA016511 to KYD-P and DVI, and the Biomedical Laboratory Research and Development Service of the Veterans Affairs Office of Research and Development Award IK2BX003922 to KYD-P. This work was also financially supported, in part, by the 2019 S&R Foundation Ryuji Ueno Award that was bestowed upon KYD-P by the American Physiological Society. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health, the Veterans Administration, or the American Physiological Society.
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
Disclosures. None
REFERENCES
- [1].Zemmour H, Planer D, Magenheim J, Moss J, Neiman D, Gilon D, Korach A, Glaser B, Shemer R, Landesberg G, Dor Y, Non-invasive detection of human cardiomyocyte death using methylation patterns of circulating DNA, Nat Commun 9(1) (2018) 1443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Jylhava J, Lehtimaki T, Jula A, Moilanen L, Kesaniemi YA, Nieminen MS, Kahonen M, Hurme M, Circulating cell-free DNA is associated with cardiometabolic risk factors: the Health 2000 Survey, Atherosclerosis 233(1) (2014) 268–71. [DOI] [PubMed] [Google Scholar]
- [3].Breitbach S, Tug S, Simon P, Circulating cell-free DNA: an up-coming molecular marker in exercise physiology, Sports Med 42(7) (2012) 565–86. [DOI] [PubMed] [Google Scholar]
- [4].Haller N, Helmig S, Taenny P, Petry J, Schmidt S, Simon P, Circulating, cell-free DNA as a marker for exercise load in intermittent sports, PloS one 13(1) (2018) e0191915. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Antonatos D, Patsilinakos S, Spanodimos S, Korkonikitas P, Tsigas D, Cell-free DNA levels as a prognostic marker in acute myocardial infarction, Annals of the New York Academy of Sciences 1075 (2006) 278–81. [DOI] [PubMed] [Google Scholar]
- [6].Destouni A, Vrettou C, Antonatos D, Chouliaras G, Traeger-Synodinos J, Patsilinakos S, Kitsiou-Tzeli S, Tsigas D, Kanavakis E, Cell-free DNA levels in acute myocardial infarction patients during hospitalization, Acta Cardiol 64(1) (2009) 51–7. [DOI] [PubMed] [Google Scholar]
- [7].Teo YV, Capri M, Morsiani C, Pizza G, Faria AMC, Franceschi C, Neretti N, Cell-free DNA as a biomarker of aging, Aging Cell 18(1) (2019) e12890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Stroun M, Anker P, Lyautey J, Lederrey C, Maurice PA, Isolation and characterization of DNA from the plasma of cancer patients, Eur J Cancer Clin Oncol 23(6) (1987) 707–12. [DOI] [PubMed] [Google Scholar]
- [9].Lo YM, Chan LY, Chan AT, Leung SF, Lo KW, Zhang J, Lee JC, Hjelm NM, Johnson PJ, Huang DP, Quantitative and temporal correlation between circulating cell-free Epstein-Barr virus DNA and tumor recurrence in nasopharyngeal carcinoma, Cancer Res 59(21) (1999) 5452–5. [PubMed] [Google Scholar]
- [10].Lo YM, Chan LY, Lo KW, Leung SF, Zhang J, Chan AT, Lee JC, Hjelm NM, Johnson PJ, Huang DP, Quantitative analysis of cell-free Epstein-Barr virus DNA in plasma of patients with nasopharyngeal carcinoma, Cancer Res 59(6) (1999) 1188–91. [PubMed] [Google Scholar]
- [11].Aucamp J, Bronkhorst AJ, Badenhorst CPS, Pretorius PJ, The diverse origins of circulating cell-free DNA in the human body: a critical re-evaluation of the literature, Biol Rev Camb Philos Soc 93(3) (2018) 1649–1683. [DOI] [PubMed] [Google Scholar]
- [12].McCarthy CG, Wenceslau CF, Goulopoulou S, Ogbi S, Baban B, Sullivan JC, Matsumoto T, Webb RC, Circulating mitochondrial DNA and Toll-like receptor 9 are associated with vascular dysfunction in spontaneously hypertensive rats, Cardiovascular research 107(1) (2015) 119–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Wu B, Ni H, Li J, Zhuang X, Zhang J, Qi Z, Chen Q, Wen Z, Shi H, Luo X, Jin B, The Impact of Circulating Mitochondrial DNA on Cardiomyocyte Apoptosis and Myocardial Injury After TLR4 Activation in Experimental Autoimmune Myocarditis, Cell Physiol Biochem 42(2) (2017) 713–728. [DOI] [PubMed] [Google Scholar]
- [14].Tian Y, Kelly-Spratt KS, Kemp CJ, Zhang H, Mapping tissue-specific expression of extracellular proteins using systematic glycoproteomic analysis of different mouse tissues, J Proteome Res 9(11) (2010) 5837–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [15].Oka T, Hikoso S, Yamaguchi O, Taneike M, Takeda T, Tamai T, Oyabu J, Murakawa T, Nakayama H, Nishida K, Akira S, Yamamoto A, Komuro I, Otsu K, Mitochondrial DNA that escapes from autophagy causes inflammation and heart failure, Nature 485(7397) (2012) 251–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [16].Moss J, Magenheim J, Neiman D, Zemmour H, Loyfer N, Korach A, Samet Y, Maoz M, Druid H, Arner P, Fu KY, Kiss E, Spalding KL, Landesberg G, Zick A, Grinshpun A, Shapiro AMJ, Grompe M, Wittenberg AD, Glaser B, Shemer R, Kaplan T, Dor Y, Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease, Nat Commun 9(1) (2018) 5068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Sherwood K, Weimer ET, Characteristics, properties, and potential applications of circulating cell-free dna in clinical diagnostics: a focus on transplantation, Journal of immunological methods 463 (2018) 27–38. [DOI] [PubMed] [Google Scholar]
- [18].Oberhammer F, Wilson JW, Dive C, Morris ID, Hickman JA, Wakeling AE, Walker PR, Sikorska M, Apoptotic death in epithelial cells: cleavage of DNA to 300 and/or 50 kb fragments prior to or in the absence of internucleosomal fragmentation, EMBO J 12(9) (1993) 3679–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [19].Jahr S, Hentze H, Englisch S, Hardt D, Fackelmayer FO, Hesch RD, Knippers R, DNA fragments in the blood plasma of cancer patients: quantitations and evidence for their origin from apoptotic and necrotic cells, Cancer Res 61(4) (2001) 1659–65. [PubMed] [Google Scholar]
- [20].Nagata S, Nagase H, Kawane K, Mukae N, Fukuyama H, Degradation of chromosomal DNA during apoptosis, Cell Death Differ 10(1) (2003) 108–16. [DOI] [PubMed] [Google Scholar]
- [21].DeLeon-Pennell KY, Tian Y, Zhang B, Cates CA, Iyer RP, Cannon P, Shah P, Aiyetan P, Halade GV, Ma Y, Flynn E, Zhang Z, Jin YF, Zhang H, Lindsey ML, CD36 Is a Matrix Metalloproteinase-9 Substrate That Stimulates Neutrophil Apoptosis and Removal During Cardiac Remodeling, Circulation. Cardiovascular genetics 9(1) (2016) 14–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Parnaik R, Raff MC, Scholes J, Differences between the clearance of apoptotic cells by professional and non-professional phagocytes, Curr Biol 10(14) (2000) 857–60. [DOI] [PubMed] [Google Scholar]
- [23].Duvvuri B, Lood C, Cell-Free DNA as a Biomarker in Autoimmune Rheumatic Diseases, Front Immunol 10 (2019) 502. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Tan EM, Schur PH, Carr RI, Kunkel HG, Deoxybonucleic acid (DNA) and antibodies to DNA in the serum of patients with systemic lupus erythematosus, J Clin Invest 45(11) (1966) 1732–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Tan EM, Kunkel HG, Characteristics of a soluble nuclear antigen precipitating with sera of patients with systemic lupus erythematosus, Journal of immunology 96(3) (1966) 464–71. [PubMed] [Google Scholar]
- [26].Jeong DW, Moon JY, Choi YW, Moon H, Kim K, Lee YH, Kim SY, Kim YG, Jeong KH, Lee SH, Effect of blood pressure and glycemic control on the plasma cell-free DNA in hemodialysis patients, Kidney Res Clin Pract 34(4) (2015) 201–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [27].McCarthy CG, Goulopoulou S, Wenceslau CF, Spitler K, Matsumoto T, Webb RC, Toll-like receptors and damage-associated molecular patterns: novel links between inflammation and hypertension, Am J Physiol Heart Circ Physiol 306(2) (2014) H184–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Dinh QN, Drummond GR, Sobey CG, Chrissobolis S, Roles of inflammation, oxidative stress, and vascular dysfunction in hypertension, Biomed Res Int 2014 (2014) 406960. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Harrison DG, Guzik TJ, Lob HE, Madhur MS, Marvar PJ, Thabet SR, Vinh A, Weyand CM, Inflammation, immunity, and hypertension, Hypertension 57(2) (2011) 132–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Tanase DM, Gosav EM, Radu S, Ouatu A, Rezus C, Ciocoiu M, Costea CF, Floria M, Arterial Hypertension and Interleukins: Potential Therapeutic Target or Future Diagnostic Marker?, Int J Hypertens 2019 (2019) 3159283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Loperena R, Harrison DG, Oxidative Stress and Hypertensive Diseases, Med Clin North Am 101(1) (2017) 169–193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [32].Wassmann S, Laufs U, Baumer AT, Muller K, Konkol C, Sauer H, Bohm M, Nickenig G, Inhibition of geranylgeranylation reduces angiotensin II-mediated free radical production in vascular smooth muscle cells: involvement of angiotensin AT1 receptor expression and Rac1 GTPase, Mol Pharmacol 59(3) (2001) 646–54. [DOI] [PubMed] [Google Scholar]
- [33].Wassmann S, Laufs U, Baumer AT, Muller K, Ahlbory K, Linz W, Itter G, Rosen R, Bohm M, Nickenig G, HMG-CoA reductase inhibitors improve endothelial dysfunction in normocholesterolemic hypertension via reduced production of reactive oxygen species, Hypertension 37(6) (2001) 1450–7. [DOI] [PubMed] [Google Scholar]
- [34].Sturza A, Leisegang MS, Babelova A, Schroder K, Benkhoff S, Loot AE, Fleming I, Schulz R, Muntean DM, Brandes RP, Monoamine oxidases are mediators of endothelial dysfunction in the mouse aorta, Hypertension 62(1) (2013) 140–6. [DOI] [PubMed] [Google Scholar]
- [35].Ermakov AV, Konkova MS, Kostyuk SV, Izevskaya VL, Baranova A, Veiko NN, Oxidized extracellular DNA as a stress signal in human cells, Oxid Med Cell Longev 2013 (2013) 649747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Dinakaran V, Rathinavel A, Pushpanathan M, Sivakumar R, Gunasekaran P, Rajendhran J, Elevated levels of circulating DNA in cardiovascular disease patients: metagenomic profiling of microbiome in the circulation, PloS one 9(8) (2014) e105221. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Xie J, Yang J, Hu P, Acute myocardial infarction patients show strong variation in circulating cell free DNA and correlated to clinical manifestations, (2018) In Press. [DOI] [PubMed]
- [38].Xie J, Yang J, Hu P, Correlations of Circulating Cell-Free DNA With Clinical Manifestations in Acute Myocardial Infarction, Am J Med Sci 356(2) (2018) 121–129. [DOI] [PubMed] [Google Scholar]
- [39].Zinkova A, Brynychova I, Svacina A, Jirkovska M, Korabecna M, Cell-free DNA from human plasma and serum differs in content of telomeric sequences and its ability to promote immune response, Scientific reports 7(1) (2017) 2591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40].Borissoff JI, Joosen IA, Versteylen MO, Brill A, Fuchs TA, Savchenko AS, Gallant M, Martinod K, Ten Cate H, Hofstra L, Crijns HJ, Wagner DD, Kietselaer B, Elevated levels of circulating DNA and chromatin are independently associated with severe coronary atherosclerosis and a prothrombotic state, Arteriosclerosis, thrombosis, and vascular biology 33(8) (2013) 2032–2040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [41].Ma Y, Yabluchanskiy A, Iyer RP, Cannon PL, Flynn ER, Jung M, Henry J, Cates CA, Deleon-Pennell KY, Lindsey ML, Temporal neutrophil polarization following myocardial infarction, Cardiovascular research 110(1) (2016) 51–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Kelly D, Cockerill G, Ng LL, Thompson M, Khan S, Samani NJ, Squire IB, Plasma matrix metalloproteinase-9 and left ventricular remodelling after acute myocardial infarction in man: a prospective cohort study, European heart journal 28(6) (2007) 711–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].DeLeon-Pennell KY, Meschiari CA, Jung M, Lindsey ML, Matrix Metalloproteinases in Myocardial Infarction and Heart Failure, Progress in molecular biology and translational science 147 (2017) 75–100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [44].Shimony A, Zahger D, Gilutz H, Goldstein H, Orlov G, Merkin M, Shalev A, Ilia R, Douvdevani A, Cell free DNA detected by a novel method in acute ST-elevation myocardial infarction patients, Acute Card Care 12(3) (2010) 109–11. [DOI] [PubMed] [Google Scholar]
- [45].Helseth R, Solheim S, Arnesen H, Seljeflot I, Opstad TB, The Time Course of Markers of Neutrophil Extracellular Traps in Patients Undergoing Revascularisation for Acute Myocardial Infarction or Stable Angina Pectoris, Mediators Inflamm 2016 (2016) 2182358. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [46].Dedobbeleer C, Melot C, Renard M, C-reactive protein increase in acute myocardial infarction, Acta Cardiol 59(3) (2004) 291–6. [DOI] [PubMed] [Google Scholar]
- [47].Gabriel AS, Martinsson A, Wretlind B, Ahnve S, IL-6 levels in acute and post myocardial infarction: their relation to CRP levels, infarction size, left ventricular systolic function, and heart failure, European journal of internal medicine 15(8) (2004) 523–528. [DOI] [PubMed] [Google Scholar]
- [48].Liebetrau C, Hoffmann J, Dorr O, Gaede L, Blumenstein J, Biermann H, Pyttel L, Thiele P, Troidl C, Berkowitsch A, Rolf A, Voss S, Hamm CW, Nef H, Mollmann H, Release kinetics of inflammatory biomarkers in a clinical model of acute myocardial infarction, Circ Res 116(5) (2015) 867–75. [DOI] [PubMed] [Google Scholar]
- [49].Daubert MA, Jeremias A, The utility of troponin measurement to detect myocardial infarction: review of the current findings, Vasc Health Risk Manag 6 (2010) 691–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Yu SC, Lee SW, Jiang P, Leung TY, Chan KC, Chiu RW, Lo YM, High-resolution profiling of fetal DNA clearance from maternal plasma by massively parallel sequencing, Clin Chem 59(8) (2013) 1228–37. [DOI] [PubMed] [Google Scholar]
- [51].Wood-Bouwens C, Lau BT, Handy CM, Lee H, Ji HP, Single-Color Digital PCR Provides High-Performance Detection of Cancer Mutations from Circulating DNA, J Mol Diagn 19(5) (2017) 697–710. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [52].Volik S, Alcaide M, Morin RD, Collins C, Cell-free DNA (cfDNA): Clinical Significance and Utility in Cancer Shaped By Emerging Technologies, Mol Cancer Res 14(10) (2016) 898–908. [DOI] [PubMed] [Google Scholar]
- [53].Breitbach S, Tug S, Helmig S, Zahn D, Kubiak T, Michal M, Gori T, Ehlert T, Beiter T, Simon P, Direct quantification of cell-free, circulating DNA from unpurified plasma, PloS one 9(3) (2014) e87838. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Podlesniy P, Trullas R, Biomarkers in Cerebrospinal Fluid: Analysis of Cell-Free Circulating Mitochondrial DNA by Digital PCR, Methods in molecular biology 1768 (2018) 111–126. [DOI] [PubMed] [Google Scholar]
- [55].Elazezy M, Joosse SA, Techniques of using circulating tumor DNA as a liquid biopsy component in cancer management, Comput Struct Biotechnol J 16 (2018) 370–378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Kozarewa I, Armisen J, Gardner AF, Slatko BE, Hendrickson CL, Overview of Target Enrichment Strategies, Curr Protoc Mol Biol 112 (2015) 7 21 1–7 21 23. [DOI] [PubMed] [Google Scholar]
- [57].Abbosh C, Birkbak NJ, Wilson GA, Jamal-Hanjani M, Constantin T, Salari R, Le Quesne J, Moore DA, Veeriah S, Rosenthal R, Marafioti T, Kirkizlar E, Watkins TBK, McGranahan N, Ward S, Martinson L, Riley J, Fraioli F, Al Bakir M, Gronroos E, Zambrana F, Endozo R, Bi WL, Fennessy FM, Sponer N, Johnson D, Laycock J, Shafi S, Czyzewska-Khan J, Rowan A, Chambers T, Matthews N, Turajlic S, Hiley C, Lee SM, Forster MD, Ahmad T, Falzon M, Borg E, Lawrence D, Hayward M, Kolvekar S, Panagiotopoulos N, Janes SM, Thakrar R, Ahmed A, Blackhall F, Summers Y, Hafez D, Naik A, Ganguly A, Kareht S, Shah R, Joseph L, Marie Quinn A, Crosbie PA, Naidu B, Middleton G, Langman G, Trotter S, Nicolson M, Remmen H, Kerr K, Chetty M, Gomersall L, Fennell DA, Nakas A, Rathinam S, Anand G, Khan S, Russell P, Ezhil V, Ismail B, Irvin-Sellers M, Prakash V, Lester JF, Kornaszewska M, Attanoos R, Adams H, Davies H, Oukrif D, Akarca AU, Hartley JA, Lowe HL, Lock S, Iles N, Bell H, Ngai Y, Elgar G, Szallasi Z, Schwarz RF, Herrero J, Stewart A, Quezada SA, Peggs KS, Van Loo P, Dive C, Lin CJ, Rabinowitz M, Aerts H, Hackshaw A, Shaw JA, Zimmermann BG, T.R. consortium, P. consortium, Swanton C, Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution, Nature 545(7655) (2017) 446–451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [58].Johansson G, Andersson D, Filges S, Li J, Muth A, Godfrey TE, Stahlberg A, Considerations and quality controls when analyzing cell-free tumor DNA, Biomol Detect Quantif 17 (2019) 100078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [59].Lo YM, Chan KC, Sun H, Chen EZ, Jiang P, Lun FM, Zheng YW, Leung TY, Lau TK, Cantor CR, Chiu RW, Maternal plasma DNA sequencing reveals the genome-wide genetic and mutational profile of the fetus, Sci Transl Med 2(61) (2010) 61ra91. [DOI] [PubMed] [Google Scholar]
- [60].Yu SC, Chan KC, Zheng YW, Jiang P, Liao GJ, Sun H, Akolekar R, Leung TY, Go AT, van Vugt JM, Minekawa R, Oudejans CB, Nicolaides KH, Chiu RW, Lo YM, Size-based molecular diagnostics using plasma DNA for noninvasive prenatal testing, Proceedings of the National Academy of Sciences of the United States of America 111(23) (2014) 8583–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Zheng YW, Chan KC, Sun H, Jiang P, Su X, Chen EZ, Lun FM, Hung EC, Lee V, Wong J, Lai PB, Li CK, Chiu RW, Lo YM, Nonhematopoietically derived DNA is shorter than hematopoietically derived DNA in plasma: a transplantation model, Clin Chem 58(3) (2012) 549–58. [DOI] [PubMed] [Google Scholar]
- [62].Underhill HR, Kitzman JO, Hellwig S, Welker NC, Daza R, Baker DN, Gligorich KM, Rostomily RC, Bronner MP, Shendure J, Fragment Length of Circulating Tumor DNA, PLoS Genet 12(7) (2016) e1006162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [63].Lam WKJ, Jiang P, Chan KCA, Cheng SH, Zhang H, Peng W, Tse OYO, Tong YK, Gai W, Zee BCY, Ma BBY, Hui EP, Chan ATC, Woo JKS, Chiu RWK, Lo YMD, Sequencing-based counting and size profiling of plasma Epstein-Barr virus DNA enhance population screening of nasopharyngeal carcinoma, Proceedings of the National Academy of Sciences of the United States of America 115(22) (2018) E5115–E5124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [64].Hellwig S, Nix DA, Gligorich KM, O’Shea JM, Thomas A, Fuertes CL, Bhetariya PJ, Marth GT, Bronner MP, Underhill HR, Automated size selection for short cell-free DNA fragments enriches for circulating tumor DNA and improves error correction during next generation sequencing, PloS one 13(7) (2018) e0197333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [65].Liang H, Peng B, Dong C, Liu L, Mao J, Wei S, Wang X, Xu H, Shen J, Mao HQ, Gao X, Leong KW, Chen Y, Cationic nanoparticle as an inhibitor of cell-free DNA-induced inflammation, Nat Commun 9(1) (2018) 4291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [66].Fukuda D, Nishimoto S, Aini K, Tanaka A, Nishiguchi T, Kim-Kaneyama JR, Lei XF, Masuda K, Naruto T, Tanaka K, Higashikuni Y, Hirata Y, Yagi S, Kusunose K, Yamada H, Soeki T, Imoto I, Akasaka T, Shimabukuro M, Sata M, Toll-Like Receptor 9 Plays a Pivotal Role in Angiotensin II-Induced Atherosclerosis, J Am Heart Assoc 8(7) (2019) e010860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [67].Paunel-Gorgulu A, Wacker M, El Aita M, Hassan S, Schlachtenberger G, Deppe A, Choi YH, Kuhn E, Mehler TO, Wahlers T, cfDNA correlates with endothelial damage after cardiac surgery with prolonged cardiopulmonary bypass and amplifies NETosis in an intracellular TLR9-independent manner, Scientific reports 7(1) (2017) 17421. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [68].Keshari RS, Jyoti A, Kumar S, Dubey M, Verma A, Srinag BS, Krishnamurthy H, Barthwal MK, Dikshit M, Neutrophil extracellular traps contain mitochondrial as well as nuclear DNA and exhibit inflammatory potential, Cytometry A 81(3) (2012) 238–47. [DOI] [PubMed] [Google Scholar]
- [69].Liu L, Liu Y, Xu B, Liu C, Jia Y, Liu T, Fang C, Wang W, Ren J, He Z, Men K, Liang X, Luo M, Shao B, Mao Y, Xiao H, Qian Z, Geng J, Dong B, Mi P, Jiang Y, Wei Y, Wei X, Negative regulation of cationic nanoparticle-induced inflammatory toxicity through the increased production of prostaglandin E2 via mitochondrial DNA-activated Ly6C(+) monocytes, Theranostics 8(11) (2018) 3138–3152. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Nishimoto S, Aini K, Fukuda D, Higashikuni Y, Tanaka K, Hirata Y, Yagi S, Kusunose K, Yamada H, Soeki T, Shimabukuro M, Sata M, Activation of Toll-Like Receptor 9 Impairs Blood Flow Recovery After Hind-Limb Ischemia, Front Cardiovasc Med 5 (2018) 144. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [71].Khier S, Lohan L, Kinetics of circulating cell-free DNA for biomedical applications: critical appraisal of the literature, Future Sci OA 4(4) (2018) FSO295. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Yu D, Tong Y, Guo X, Feng L, Jiang Z, Ying S, Jia J, Fang Y, Yu M, Xia H, Shi L, Lou J, Diagnostic Value of Concentration of Circulating Cell-Free DNA in Breast Cancer: A Meta-Analysis, Frontiers in oncology 9 (2019) 95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [73].Kohler C, Radpour R, Barekati Z, Asadollahi R, Bitzer J, Wight E, Burki N, Diesch C, Holzgreve W, Zhong XY, Levels of plasma circulating cell free nuclear and mitochondrial DNA as potential biomarkers for breast tumors, Mol Cancer 8 (2009) 105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [74].Thierry AR, El Messaoudi S, Gahan PB, Anker P, Stroun M, Origins, structures, and functions of circulating DNA in oncology, Cancer Metastasis Rev 35(3) (2016) 347–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [75].Cicchillitti L, Corrado G, De Angeli M, Mancini E, Baiocco E, Patrizi L, Zampa A, Merola R, Martayan A, Conti L, Piaggio G, Vizza E, Circulating cell-free DNA content as blood based biomarker in endometrial cancer, Oncotarget 8(70) (2017) 115230–115243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Celec P, Vlkova B, Laukova L, Babickova J, Boor P, Cell-free DNA: the role in pathophysiology and as a biomarker in kidney diseases, Expert Rev Mol Med 20 (2018) e1. [DOI] [PubMed] [Google Scholar]
- [77].Fang H, Chen W, Gao Y, Shen Y, Luo M, Molecular mechanisms associated with Angiotensin-converting enzyme-inhibitory peptide activity on vascular extracellular matrix remodeling, Cardiology 127(4) (2014) 247–55. [DOI] [PubMed] [Google Scholar]
