Evidence mapPaperPMID 42253285Full record

ArticleJOR spine2026

Spinal Implant-Associated Infection in Type 2 and Type 1 Diabetes: Phenotype-Specific Inflammatory Features and Therapeutic Response to Semaglutide.

Thomas E Olson, Trevor S Lloyd, Christopher D Hamad, Rene F Chun, Joshua Wiener, Autreen Golzar, Joshua Mehany, Soroush Shahamatdar, Andrew Kittredge, Lauren Pearce and 7 more

Abstract read
In one paragraph

Article in JOR spine, 2026. 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

17 authors.

Thomas E OlsonDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.ORCID https://orcid.org/0000-0003-3960-156X
Trevor S LloydDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Christopher D HamadDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Rene F ChunDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Joshua WienerDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Autreen GolzarDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Joshua MehanyUniversity of California, Los Angeles Los Angeles California USA.
Soroush ShahamatdarDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Andrew KittredgeUniversity of California, Los Angeles Los Angeles California USA.
Lauren PearceUniversity of California, Los Angeles Los Angeles California USA.
Kevin P FrancisDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Farres ObeidinDepartment of Pathology and Laboratory Medicine David Geffen School of Medicine at UCLA Los Angeles California USA.
Langston T HollyDepartment of Neurosurgery David Geffen School of Medicine at UCLA Los Angeles California USA.
Michael R YeamanUniversity of California, Los Angeles Los Angeles California USA.
John S AdamsDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.
Nicholas M BernthalDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.ORCID https://orcid.org/0000-0003-3338-5878
William L SheppardDepartment of Orthopaedic Surgery David Geffen School of Medicine at UCLA Santa Monica California USA.

Funding

Regenerative Musculoskeletal Medicine Training ProgramT32AR059033 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$459k
NIAMS NIH HHS T32 AR059033
6 · The paper itself

Abstract

Background: Diabetes mellitus (DM) is a major risk factor for postoperative infection and wound complications in spine surgery, yet distinctions between Type 2 (T2DM) and Type 1 (T1DM) pathophysiology are rarely addressed. This study compares infectious burden, wound healing, and immune response among a murine model of spinal implant-associated infection of T2DM, T1DM, and nondiabetic control mice before and after metabolic intervention with the GLP-1 receptor agonist (GLP-1RA), semaglutide. Methods: Male C57BL/6J mice were rendered diabetic by streptozotocin induction (T1DM) or a high-fat, high-sucrose diet (T2DM). Spinal implants were placed and inoculated with bioluminescent Results: Both diabetic models demonstrated greater infection burden, delayed wound healing, and distinct systemic inflammatory profiles compared with controls. T2DM was characterized by chronically elevated baseline inflammation and a blunted acute response to infection, whereas T1DM exhibited low baseline activity but exaggerated and dysregulated cytokine induction. Semaglutide attenuated infection severity, improved wound integrity, and partially normalized inflammatory patterns. Histology and immunofluorescence corroborated these findings, showing reduced immune cell infiltration and improved tissue organization in semaglutide-treated cohorts. Conclusions: T2DM and T1DM are associated with differing inflammatory and immune features in murine spinal implant-associated infection. Metabolic modulation with semaglutide restores immune balance, reduces infection severity, and promotes wound repair. These findings support exploration of GLP-1RA-based therapies to improve surgical outcomes in diabetic patients.

Indexed as

cytokine profileimmune dysregulationmetabolic interventionmurine modelspinal implant‐associated infectionType 1 diabetes mellitusType 2 diabetes mellituswound healing

Identifiers

PMID42253285
PMCPMC13239351

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.