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Record W4417164434 · doi:10.1097/bot.0000000000003138

A Possible Treatment for Fragility Fractures of the Pelvis? The Impact of Probiotic Treatment on Pelvic Bone Microstructure and Strength in Osteoporotic Rats

2025· article· en· W4417164434 on OpenAlexafffund
Samantha Bartman, Matthew Dawdy, Yufa Wang, Margarete K. Akens, Cari Whyne, Diane Nam

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity Health NetworkSunnybrook HospitalToronto Rehabilitation InstituteUniversity of TorontoSunnybrook Health Science Centre
FundersCanadian Orthopaedic FoundationAO North America
KeywordsProbioticFragilityOsteoporosisImmune systemBone healingRandomized controlled trial

Abstract

fetched live from OpenAlex

OBJECTIVES: Healing remains a clinical challenge in nonoperatively treated fragility fractures of the pelvis (FFPs). Modifying gut microbiota has been found to affect cytokine pathways involved in bone formation and resorption. This study examined the impact of probiotic treatment pre- and postunilateral pubic rami fracture on bone microstructure and load-to-failure of healing fractured and intact (unfractured) contralateral hemipelvises. METHODS: Twenty-one 6-month-old female Sprague Dawley rats were bilaterally ovariectomized and housed for 3 months to establish an osteoporotic phenotype. At 9 months old, stable unilateral fractures of the superior and inferior pubic rami of the left hemipelvis (type 1a FFP) were created. Before fracture creation, rats were randomly separated into control (phosphate-buffered saline administered for 12 weeks), prefracture treatment (probiotics administered for 12 weeks starting 6 weeks prefracture), and postfracture treatment (probiotics administered for 6 weeks postfracture) groups. At 6 weeks postfracture, rats were sacrificed, and their pelvises were harvested, microcomputed tomography imaged, and evaluated through microstructural analysis and biomechanical testing. RESULTS: On the intact hemipelvises, the prefracture treatment group (n = 5) had significantly higher bone volume (BV) ( P = 0.050), bone volume fraction (BV/TV) ( P = 0.019), bone mineral density ( P = 0.019), and tissue mineral density (TMD) ( P = 0.014) than those in the postfracture treatment group (n = 7). The intact hemipelvises of the prefracture treatment group also had significantly increased trabecular thickness (TbTh) ( P = 0.021) when compared with those in the control group (n = 6). On the fractured hemipelvises, the prefracture group had increased total volume (TV) ( P = 0.020), BV ( P = 0.011), and BV/TV ( P = 0.026) when compared with the control group (n = 4). Although load-to-failure was correlated with microstructural parameters (BV/TV (r = 0.42, P = 0.015), trabecular number (TbN) (r = 0.42, P = 0.014), bone mineral density (r = 0.55, P = 0.0008), TMD (r = 0.40, P = 0.019), and trabecular spacing (TbS) (r = -0.58, P = 0.0003), no significant differences in bone strength were found between groups. CONCLUSIONS: Probiotic treatment was shown to improve bone microstructure in osteoporotic rats; however, efficacy was related to treatment timing and duration. Administration of probiotics for 12 weeks beginning 6 weeks prefracture significantly enhanced bone quality in both the healing fractured and intact contralateral hemipelvises. This suggests a critical timing threshold exists for probiotic therapy to impact the gut microbiome, facilitating an alteration of the immune response postfracture and producing positive structural changes in osteoporotic pelvic bone.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.309
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes2
Has abstractyes

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