Evidence map›Paper›PMID 29423275›Full record

ArticleNPJ systems biology and applications2018

A roadmap towards personalized immunology.

Sylvie Delhalle, Sebastian F N Bode, Rudi Balling, Markus Ollert, Feng Q He

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05174624 (The Healthy Human Global Project - Hong Kong), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05174624 completednot on this mapstarted 2022, after this paper: background citation

The Healthy Human Global Project - Hong Kong: A Community-based Cross-sectional Study on Genetic and Environmental Determinants of Immune Phenotype Variance in a Healthy Asian Population - Establishing a Path Towards Personalized Medicine

TypeobservationalSponsorCentre for Immunology & InfectionRan2022 to 2023Enrolled1,026ConditionsHealthy, Immune System and Related DisordersArmsNo intervention
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Review
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  7. Observational
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  15. Article
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  18. A Roadmap towards Precision Periodontics.Medicina (Kaunas, Lithuania) · 2021
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Sylvie Delhalle *1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.
Sebastian F N Bode *1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.
Rudi Balling3Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Campus Belval, 6, Avenue du Swing, 4367 Belvaux, Luxembourg.
Markus Ollert1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.
Feng Q He1Department of Infection and Immunity, Luxembourg Institute of Health (LIH), 29, rue Henri Koch, 4354 Esch-sur-Alzette, Luxembourg.ORCID 0000-0003-2657-7361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID29423275
PMCPMC5802799

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.