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Views on the Value of Cell-Free DNA Biology
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Molecular and Genetic Medicine

ISSN: 1747-0862

Open Access

Mini Review - (2022) Volume 16, Issue 9

Views on the Value of Cell-Free DNA Biology

Mark Angel*
*Correspondence: Mark Angel, Department of Biology, University of Hong Kong Baptist, Kowloon Tong, Hong Kong, Email:
Department of Biology, University of Hong Kong Baptist, Kowloon Tong, Hong Kong

Received: 01-Sep-2022, Manuscript No. jmgm-22-77625; Editor assigned: 02-Sep-2022, Pre QC No. P-77625; Reviewed: 09-Sep-2022, QC No. Q-77625; Revised: 16-Sep-2022, Manuscript No. R-77625; Published: 23-Sep-2022 , DOI: 10.37421/1747-0862.2022.16.573
Citation: Angel, Mark. “Views on the Value of Cell-Free DNA Biology.” J Mol Genet Med 16 (2022): 573.
Copyright: © 2022 Angel M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Cell-free DNA (cfDNA) fragments, which make up a large reservoir of data reflecting changes in the host and meta genome in real time, are regularly regenerated in body fluids. This reservoir can be used to tap assays for the diagnosis, prognosis and monitoring of a wide range of diseases, including solid tumours, foetal genetic anomalies, rejected organ transplants, infections and potentially many other conditions. Recent developments in preanalytical and analytical methods, integrated bioinformatics and machine learning algorithms have accelerated the translation of cfDNA research into practical clinical diagnostics. Nevertheless, despite these amazing developments, cfDNA continues to be a very difficult analyte to work with due to its extreme heterogeneity and fluctuation in vivo.

Keywords

Bioinformatics • Tumors • Metagenome • Genetics

Introduction

The population of genetically varied cell-free DNA (cfDNA) fragments that are regularly regenerated in bodily fluids serves as a massive data repository that reflects changes in the host and meta genome in real time. This reservoir can be used to tap assays for the diagnosis, prognosis and monitoring of numerous illnesses, including solid tumours, foetal genetic anomalies, rejected organ transplants, infections and potentially a wide range of other conditions. The development of practical clinical tests using cfDNA research is gaining steam and recent development is being fuelled by quickly developing preanalytical and analytical methods, integrated bioinformatics and machine learning algorithms. However, because of its extreme heterogeneity and fluctuation in vivo, cfDNA continues to be a very difficult analyte to work with despite these amazing advancements.

Description

Most human frame fluids are, via a complicated community of launch and clearance mechanisms, continuously replenished with a populace of genetically numerous cell-loose DNA (cfDNA) fragments. Since cfDNA samples may be acquired in a one-off and serial style via minimally-invasive procedures, e.g., via a blood draw cfDNA profiling represents an exceptional treasure trove of real-time genetic facts minable for wide-ranging diagnostic, prognostic and theranostic purposes. Remarkable development has already been made in this the front with the improvement of cfDNA assays that trump among the inherent obstacles of conventional strategies and are slowly reworking the manner wherein stable tumours, foetal genetic abnormalities, organ transplant rejections and infections are diagnosed, monitored and treated. Furthermore, profiling of cfDNA from serial bio specimen collections holds the capability to revolutionize the characterization of temporal genome dynamics in a lot of contexts [1].

The huge measurement of temporal genomic facts available via cfDNA evaluation has, for example, already been tapped in the direction of the improvement of strategies for the longitudinal evaluation of numerous components of tumour biology, together with residual disease, metastases, intratumor genetic heterogeneity, transferring mutational landscapes, genetic responses to chemo- and radiotherapy and mechanisms that underlie the emergence of remedy resistance. All of the abovementioned facts, that's absolutely not possible you acquire via tissue biopsies, has been valuable in guiding healing regimes and has already had an overwhelmingly advantageous impact at the control and survival of most cancers patients. These successes imply the fascinating opportunity of growing serial cfDNA assessments for tracking much different pathology. First, serial cfDNA analyses may also offer new perception into many slowly modern or persistent ailments that have been correlated with aberrant cfDNA profiles, consisting of cardiovascular disease, diabetes, autoimmunity and neurodegenerative disease [2].

Second, serial cfDNA analyses can be specially beneficial for tracking modern sicknesses or scientific situations which are characterised with the aid of using as a substitute tight temporal thresholds round speedy malignant transformation or the unexpected onset of adverse results, consisting of Parkinson`s disease, Alzheimer`s disease, sepsis, stroke, disturbing injuries and detrimental results of gene remedy. Moreover, serial evaluation of cfDNA can be beneficial for reading the position of the intestine micro biome in human fitness and disease, the organic footprint and results of assimilated environmental DNA and can actually have programs in forensic casework and bio bank control. Despite the apparent importance of cfDNA in human biology and pathology, the interpretation of cfDNA studies into beneficial medical exams has been advancing at a sub-foremost rate, whilst the organic capability of cfDNA is poorly understood and understudied [3].

As reviewed elsewhere, the improvement and implementation of clinically significant exams is hampered through an array of continual limitations that haven't begun to be overcome, including a loss of widespread preanalytical standards, restricted first-class exercise guidelines, analytical limitations, no fashionable reference materials, inadequate analytical validation and insufficient medical trials. Another primary component that negatively affects each translational and primary cfDNA studies pertains to the problems in attaining high-constancy opposite engineering of each the quantitative and qualitative traits of cfDNA molecules in a bio specimen [4]. Much development has been made on this regard via swiftly evolving technology, molecular methods, incorporated bioinformatics and gadget learning (ML) algorithms, coupled with primary efforts in optimizing and standardizing preanalytical procedures. However, correct measurements of cfDNA are nevertheless challenged through several limitations that relate to the organic traits of cfDNA. The maximum distinguished demanding situations on this regard are the great heterogeneity withinside the traits of cfDNA in vivo and the problems in differentiating analytically among exceptional cfDNA types the complicated community of organic, physiological, pathological, lifestyle and environmental elements that modulate the traits of cfDNA, the lifestyles of several feasible preanalytical steps which are biased towards the preservation, degradation, elimination, or seize of particular cfDNA subtypes and a negative know-how of all the former [5].

Conclusion

Therefore, on this evaluation we explored the organic functions of cfDNA and display how a deep and based enquiry into cfDNA biology may increase the sensitivity and specificity of presently present cfDNA assays, specially medical exams primarily based totally at the detection of hotspot mutations, enlarge the repertoire of disease-particular cfDNA markers, thereby main to the improvement of latest and extra effective assays and as a result considerably enlarge the liquid biopsy toolbox and medical scope of cfDNA assays, open an unparalleled window of get admission to for reading temporal genomic modifications because it pertains to a huge variety of strategies and in the end shed new mild on poorly understood strategies in addition to display hidden organic strategies, possibly catalysing a surge of latest discoveries approximately genome function.

References

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