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Record W4417263234 · doi:10.3389/fcimb.2025.1694633

Brucella melitensis clinical isolate modulates osteoclast differentiation to drive pathological bone destruction in brucellar arthritis

2025· article· en· W4417263234 on OpenAlexaff
Jinlei Chen, Feijie Zhi, Guanghai Zhao, Mengru Su, Wei Song, Yuefeng Chu, Haihong Zhang

Bibliographic record

VenueFrontiers in Cellular and Infection Microbiology · 2025
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsMinistry of Agriculture
FundersAgricultural Science and Technology Innovation ProgramChinese Academy of Agricultural SciencesNational Natural Science Foundation of ChinaLanzhou University
KeywordsBrucella melitensisBrucellosisPathologicalBrucellaOsteoclastArthritisRheumatoid arthritis

Abstract

fetched live from OpenAlex

Background Brucellosis is a widespread zoonosis that is acquired by humans from infected animals. Articular complications, particularly brucellar spondylitis, are the most prevalent and disabling manifestations of human brucellosis. Inflammation-mediated osteoclast activation is implicated in Brucella -induced bone destruction, but the direct cellular tropism of Brucella within bone tissue and the specific effects of infection on osteoclasts remain poorly understood. This study aims to characterize the osteoclast tropism of Brucella melitensis biovar 3 clinical isolates and their direct regulatory effects on osteoclast-mediated bone destruction in Brucella -induced arthritis. Methods Brucella clinical isolates were obtained from the bone tissues of human brucellar spondylitis patients in Gansu Province, China. Whole-genome sequencing and biotyping identified their specific biovars. These isolates were used to generate arthritis in immunodeficient NCG mice; bone homeostasis in these mice was assessed via ELISA. We assessed their cellular tropism and osteoclast-modulating effects through intracellular survival assays, immunofluorescence, histopathology, TRAP staining, and resorption pit analysis. Results Three clinical isolates of B. melitensis biovar 3 were obtained from arthritis lesions in patients from Gansu. Genomic analysis revealed homology with geographically diverse Chinese Brucella strains. Although these isolates reached splenic bacterial loads similar to the virulent strain 16M, they did not cause splenomegaly by two weeks post-infection. The isolates displayed strong tropism for human and murine osteoclasts, achieving significantly higher intracellular loads compared to osteoblasts or osteocytes. Infection at the osteoclast precursor/bone marrow macrophage stage enhanced early osteoclastogenesis while inhibiting late-stage apoptosis and fusion, leading to prolonged osteoclast survival and aggravated bone resorption and defects. In contrast, conditioned medium from infected osteoblasts or osteocytes had minimal impact on late-stage osteoclast differentiation. Conclusions These findings elucidate the mechanisms underlying pathological bone defects in brucellar arthritis. The direct bacterial effects, together with the formation of an osteoclast-derived pro-survival niche, account for the prevalence of brucellar arthritis as the most common complication of chronic brucellosis. Targeting the interaction between B. melitensis and osteoclasts may thus offer a novel therapeutic strategy for preventing and treating Brucella -induced osteolytic lesions.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.300
Teacher spread0.276 · 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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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