Evidence map›Paper›PMID 24219358›Full record

ReviewFEMS microbiology ecology2014

Gut microbiota-based translational biomarkers to prevent metabolic syndrome via nutritional modulation.

Shuiming Xiao, Liping Zhao

Open access · bronzeAbstract readReview
In one paragraph

Review in FEMS microbiology ecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

27 citing papers in PubMed, 58 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Triple-Probiotic-Fermented Goji (Microorganisms · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. The effect ofArchives of medical science : AMS · 2022
    Review
  12. Article
  13. Article
  14. Review
  15. Gut Microbiota: The Missing Link BetweenFrontiers in endocrinology · 2021
    Review
  16. Article
  17. Review
  18. Early Programming of Adult Systemic Essential Hypertension.International journal of molecular sciences · 2020
    Review
  19. The polyphenol-rich extract from chokeberry (Nutrition & metabolism · 2020
    Article
  20. Article
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

2 authors at 1 institution in 1 country.

Shuiming XiaoState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Liping Zhao
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the face of the global epidemic of metabolic syndrome (MetS) and its strong association with the increasing rate of cardiovascular morbidity and mortality, it is critical to detect MetS at an early stage in the clinical setting to implement preventive intervention long before the complications arise. Lipopolysaccharide, the cell wall component of Gram-negative bacteria produced from diet-disrupted gut microbiota, has been shown to induce metabolic endotoxemia, chronic low-grade inflammation, and ultimately insulin resistance. Therefore, ameliorating the inflammation and insulin resistance underlying MetS by gut microbiota-targeted, dietary intervention has gained increasing attention. In this review, we propose using dynamic monitoring of a set of translational biomarkers related with the etiological role of gut microbiota, including lipopolysaccharide binding protein (LBP), C-reactive protein (CRP), fasting insulin, and homeostasis model assessment of insulin resistance (HOMA-IR), for early detection and prevention of MetS via nutritional modulation. LBP initiates the recognition and monomerization of lipopolysaccharide and amplifies host immune responses, linking the gut-derived antigen load and inflammation indicated by the plasma levels of CRP. Fasting plasma insulin and HOMA-IR are measured to evaluate insulin sensitivity that is damaged by pro-inflammatory cytokines. The dynamic monitoring of these biomarkers in high-risk populations may provide translational methods for the quantitative and dynamic evaluation of dysbiosis-induced insulin resistance and the effectiveness of dietary treatment for MetS.

Indexed as

MicrobiotaAcute-Phase ProteinsAnimalsBiomarkersBlood GlucoseCarrier ProteinsC-Reactive ProteinGastrointestinal TractHumansInsulinInsulin ResistanceIntestinesLipopolysaccharide-Binding ProteinMembrane GlycoproteinsMetabolic SyndromeAcute-Phase ProteinsBiomarkersBlood GlucoseCarrier ProteinsC-Reactive ProteinInsulinLipopolysaccharide-Binding ProteinMembrane Glycoproteinsbiomarkersgut microbiotainsulin resistancemetabolic syndrometrajectory analysis

Identifiers

PMID24219358
PMCPMC4262049
OpenAlexW2070700872

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.