Evidence mapPaperPMID 39770689Full record

ReviewMicroorganisms2024

Genomic Insights into Host Susceptibility to Periprosthetic Joint Infections: A Comprehensive Literature Review.

Juan D Lizcano, Anabelle Visperas, Nicolas S Piuzzi, Hesham Abdelbary, Carlos A Higuera-Rueda

Abstract readReview
In one paragraph

Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Juan D LizcanoOrthopedic Surgery Department, Cleveland Clinic, Weston, FL 33331, USA.ORCID 0000-0002-8969-5341
Anabelle VisperasOrthopedic Surgery Department, Cleveland Clinic, Cleveland, OH 44195, USA.
Nicolas S PiuzziOrthopedic Surgery Department, Cleveland Clinic, Cleveland, OH 44195, USA.
Hesham AbdelbaryOrthopedic Surgery Department, The Ottawa Hospital, Ontario, ON K1Y 4E9, Canada.
Carlos A Higuera-RuedaOrthopedic Surgery Department, Cleveland Clinic, Weston, FL 33331, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Periprosthetic joint infection (PJI) is a multifactorial disease, and the risk of contracting infection is determined by the complex interplays between environmental and host-related factors. While research has shown that certain individuals may have a genetic predisposition for PJI, the existing literature is scarce, and the heterogeneity in the assessed genes limits its clinical applicability. Our review on genetic susceptibility for PJI has the following two objectives: (1) Explore the potential risk of developing PJI based on specific genetic polymorphisms or allelic variations; and (2) Characterize the regulatory cascades involved in the risk of developing PJI. This review focused on clinical studies investigating the association between genetic mutations or variations with the development of PJI. The genes investigated in these studies included toll-like receptors and humoral pattern recognition molecules, cytokines, chemokines, mannose-binding lectin (MBL), bone metabolism molecules, and human leukocyte antigen. Among these genes, polymorphisms in IL-1, MBL, vitamin D receptors, HLA-C, and HLA-DQ might have a relevant impact on the development of PJI. The literature surrounding this topic is limited, but emerging transcriptomic and genome-wide association studies hold promise for identifying at-risk genes. This advancement could pave the way for incorporating genetic testing into preoperative risk stratification, enhancing personalized patient care.

Indexed as

arthroplastygenesPJIpolymorphismsseptic revision

Identifiers

PMID39770689
PMCPMC11728149

What Socratic holds

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Registered trials

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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 Socratic graph.