Omics for personalized medicine: defining the current we swim in

Ibrahim, Rania; Yousef, George M.

doi:10.1586/14737159.2016.1164601

Cited by 44 publications

(30 citation statements)

References 22 publications

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“…This awareness requires knowledge of a multi-system approach that integrates different techniques to characterize the host-microbe entity [120], and analyses that extend into an individual’s or population’s environment (socioeconomics) - a challenge that is most relevant in childhood health [83]. We propose that such framework should build on four main stakes to guarantee more effective risk assessment, bring precision at the individual level and minimize population-level health disparities [121] (Figure 2).…”

Section: Challenges: Techniques Analyses Biomarker Discovery and mentioning

confidence: 99%

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

2016

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In the era of applied meta-omics and personalized medicine, the oral microbiome is a valuable asset. From biomarker discovery to being a powerful source of therapeutic targets, and to presenting an opportunity for developing non-invasive approaches to health care, it has become clear that oral microbes may hold the answer for understanding disease, even beyond the oral cavity. Although our understanding of oral microbiome diversity has come a long way in the past 50 years, there are still many areas that need to be fine-tuned for better risk assessment and diagnosis, especially in early developmental stages of human life. Here, we discuss the factors that impact development of the oral microbiome, and explore oral markers of disease, with a focus on the early oral cavity. Our ultimate goal is to put different experimental and methodological views into perspective for better assessment of early oral and systemic disease at an early age, and discuss how oral microbiomes- at the community level, could provide improved assessment in individuals, and populations at risk.

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Section: Challenges: Techniques Analyses Biomarker Discovery and mentioning

confidence: 99%

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

2016

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“…Unfortunately, these parameters sometimes lack accuracy in predicting disease outcome. Identification of molecular biomarkers that can be used alone or in combination with these parameters can help with accurate prediction of disease outcome, which is fundamental in guiding the treatment decision for both primary and metastatic kidney cancer 7 8. Personalised medicine proposes using an individual's genome to further guide disease prevention, diagnosis and therapy.…”

Section: Introductionmentioning

confidence: 99%

miR-10b is a prognostic marker in clear cell renal cell carcinoma

et al. 2017

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“…The pathogenesis of periodontal disease should be studied using a systems approach, which is defined as a set of interacting components forming an integrated whole, where a functional characterization of each component is established allowing for integration of all of the components through models that describe the structure of the system. The last step in such a functional module is the evaluation of the system in response to external or internal stresses …”

Section: Introductionmentioning

confidence: 99%

“…The last step in such a functional module is the evaluation of the system in response to external or internal stresses. [6][7][8] Thus the effect of environmental influences, represented by external environmental stressors such as smoking and changes in the microenvironment, with an overgrowth of specific subsets of microbes characterizing antibiosis (an antagonistic association between microorganisms) of the periodontal microbiome 8 , influence each other as well as the other functional elements. The essential role of gene-environment interactions in inducing and modifying complex diseases has recently been explored, including in periodontal diseases.…”

Section: Introductionmentioning

confidence: 99%

Epigenetic reprogramming in periodontal disease: Dynamic crosstalk with potential impact in oncogenesis

Barros

Fahimipour

Tarran

et al. 2019

Periodontology 2000

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Periodontitis is a chronic multifactorial inﬂammatory disease associated with microbial dysbiosis and characterized by progressive destruction of the periodontal tissues. Such chronic infectious inflammatory disease is recognized as a major public health problem worldwide with measurable impact in systemic health. It has become evident that the periodontal disease phenotypes are not only determined by the microbiome effect, but the extent of the tissue response is also driven by the host genome and epigenome patterns responding to various environmental exposures. More recently there is mounting evidence indicating that epigenetic reprogramming in response to combined intrinsic and environmental exposures, might be particularly relevant due its plasticity and potential application towards precision health. The complex epigenetic crosstalk is reflected in the prognosis and progress of periodontal diseases and may also lead to a favorable landscape for cancer development. This review discusses epigenomics modifications focusing on the role of DNA methylation and pathways linking microbial infection and inflammatory pathways, which are also associated with carcinogenesis. There is a more clear vision whereas 'omics' technologies applied to unveil relevant epigenetic factors could play a significant role in the treatment of periodontal disease in a personalized mode, evidencing that public health approach should coexist with precision individualized treatment.

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Omics for personalized medicine: defining the current we swim in

Cited by 44 publications

References 22 publications

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

miR-10b is a prognostic marker in clear cell renal cell carcinoma

Epigenetic reprogramming in periodontal disease: Dynamic crosstalk with potential impact in oncogenesis

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