Dataset Information

A roadmap towards personalized immunology.

ABSTRACT: Big data generation and computational processing will enable medicine to evolve from a "one-size-fits-all" approach to precise patient stratification and treatment. Significant achievements using "Omics" data have been made especially in personalized oncology. However, immune cells relative to tumor cells show a much higher degree of complexity in heterogeneity, dynamics, memory-capability, plasticity and "social" interactions. There is still a long way ahead on translating our capability to identify potentially targetable personalized biomarkers into effective personalized therapy in immune-centralized diseases. Here, we discuss the recent advances and successful applications in "Omics" data utilization and network analysis on patients' samples of clinical trials and studies, as well as the major challenges and strategies towards personalized stratification and treatment for infectious or non-communicable inflammatory diseases such as autoimmune diseases or allergies. We provide a roadmap and highlight experimental, clinical, computational analysis, data management, ethical and regulatory issues to accelerate the implementation of personalized immunology.

SUBMITTER: Delhalle S

PROVIDER: S-EPMC5802799 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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A roadmap towards personalized immunology.

Delhalle Sylvie S Bode Sebastian F N SFN Balling Rudi R Ollert Markus M He Feng Q FQ

NPJ systems biology and applications 20180206

Big data generation and computational processing will enable medicine to evolve from a "one-size-fits-all" approach to precise patient stratification and treatment. Significant achievements using "Omics" data have been made especially in personalized oncology. However, immune cells relative to tumor cells show a much higher degree of complexity in heterogeneity, dynamics, memory-capability, plasticity and "social" interactions. There is still a long way ahead on translating our capability to ide ...[more]

PMID: 29423275

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Project description:Purpose Some commercial/industrial sectors have increased their interest in sustainability, in some cases changing their business focus, from a profit-centered approach to a more balanced view, including environmental and social factors. It means that the interest in sustainability is increasing. Life cycle management (LCM) is a methodology/concept that can contribute to this paradigm shift. In this research, the potential application of LCM in the bakery segment was investigated, considering the entire value chain related to the sector (inputs, packaging, suppliers, customers, waste management). Methods Bakeries were visited, in Teresina, Piauí, Brazil, to learn about the products, services, production processes, and the socio-environmental and economic sustainability practices, aiming at identifying bottlenecks and to propose alternatives based on LCM. Besides the field approach, the study was structured based on the literature that brings the concepts and potentialities of applying LCM in various economic/industrial sectors. The PDCA cycle and the SWOT Matrix were also used to assist the implementation of LCM. A roadmap was proposed aiming at the LCM implementation in bakeries. Results The results show that although the sector has some environmentally sustainable practices (waste separation, energy savings, reuse of products, inputs purchased locally), the primary intention is to reduce costs and not to mitigate environmental impacts. Regarding social responsibility, they donate bread to institutions. This is an important attitude, but not the only one for fulfilling the social role within the value chain. They do not consider suppliers that show concern for the environment (certified companies), and both marketing and product labels do not evoke these issues too. Conclusions and recommendations Thus, there is the possibility of implementing LCM in bakeries if there is a concern with sustainable production and consumption. A roadmap for implementing LCM in bakeries was proposed including some steps: mapping the life cycle of products/processes/services associated with the sector; analyzing factors that can influence the actions towards sustainability; disseminating life cycle information to the entire value chain; efficient waste management, including the partnership with recycling companies; and treatment of the collected data and improvement proposal, using management tools such as the PDCA Cycle, the SWOT Matrix, and Environmental, Social and Governance (ESG) aiming at the search for environmental and economic sustainability and social fair alternatives. Supplementary information The online version contains supplementary material available at 10.1007/s11367-021-02008-7.

Dataset Information

A roadmap towards personalized immunology.

Publications

A roadmap towards personalized immunology.

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