Evidence map›Paper›PMID 39307902›Full record

ReviewSignal transduction and targeted therapy2024

A systematic framework for understanding the microbiome in human health and disease: from basic principles to clinical translation.

Ziqi Ma, Tao Zuo, Norbert Frey, Ashraf Yusuf Rangrez

Abstract readReview
In one paragraph

Review in Signal transduction and targeted therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 157 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
157citing papers in PubMed, 3 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

157 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  20. Iron, inflammation, and intestinal tumors: the crucial triad in colorectal cancer progression and therapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review

97 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ziqi MaDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany. ziqi.ma@med.uni-heidelberg.de.
Tao ZuoKey Laboratory of Human Microbiome and Chronic Diseases (Sun Yat-sen University), Ministry of Education, Guangzhou, China.ORCID 0000-0001-8450-5281
Norbert FreyDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany. Norbert.frey@med.uni-heidelberg.de.
Ashraf Yusuf RangrezDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany. ashrafyusuf.rangrez@med.uni-heidelberg.de.

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 1289/17-1Deutsche Forschungsgemeinschaft (German Research Foundation) RA 2717/4-1
6 · The paper itself

Abstract

The human microbiome is a complex and dynamic system that plays important roles in human health and disease. However, there remain limitations and theoretical gaps in our current understanding of the intricate relationship between microbes and humans. In this narrative review, we integrate the knowledge and insights from various fields, including anatomy, physiology, immunology, histology, genetics, and evolution, to propose a systematic framework. It introduces key concepts such as the 'innate and adaptive genomes', which enhance genetic and evolutionary comprehension of the human genome. The 'germ-free syndrome' challenges the traditional 'microbes as pathogens' view, advocating for the necessity of microbes for health. The 'slave tissue' concept underscores the symbiotic intricacies between human tissues and their microbial counterparts, highlighting the dynamic health implications of microbial interactions. 'Acquired microbial immunity' positions the microbiome as an adjunct to human immune systems, providing a rationale for probiotic therapies and prudent antibiotic use. The 'homeostatic reprogramming hypothesis' integrates the microbiome into the internal environment theory, potentially explaining the change in homeostatic indicators post-industrialization. The 'cell-microbe co-ecology model' elucidates the symbiotic regulation affecting cellular balance, while the 'meta-host model' broadens the host definition to include symbiotic microbes. The 'health-illness conversion model' encapsulates the innate and adaptive genomes' interplay and dysbiosis patterns. The aim here is to provide a more focused and coherent understanding of microbiome and highlight future research avenues that could lead to a more effective and efficient healthcare system.

Indexed as

MicrobiotaHumansProbioticsSymbiosis

Identifiers

PMID39307902
PMCPMC11418828

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.