Metabolic interactions govern gut microbiome assembly, yet their functional rules remain obscured by genomic incompleteness and fragmentation. Here, we leverage 1,150 complete genomes to construct genome-scale metabolic models, demonstrating that draft assemblies introduce systematic artifacts and omit critical transport functions. We observe that genomic traits and niche specialization, rather than random association, shape microbial metabolic competition and complementarity. Interaction asymmetry stratifies strains into four ecological groups, including active players, resource predators, resource utilizers, and resource contributors, with distinct signatures of metabolite exchange, competition, and secondary metabolism. In inflammatory bowel disease, these groups show subtype-specific temporal instability, and group-specific dysbiosis predicts clinical phenotypes better than the whole-community profiles. Keystone features derived from integrated metabolic interaction and co-occurrence networks also improve cross-validated disease classification. Together, these findings connect genome completeness with microbial ecological organization and provide a framework for linking metabolic interactions to microbiome-associated disease.
Yu-He Gu, Haoyu Wang, Jin-Long Yang et al.· Cell Reports· 0 citations
BACKGROUND
Osteoporotic vertebral compression fractures (OVCFs) are prevalent but frequently remain unrecognized. While bone mineral density (BMD) is the primary assessment tool, MRI-based parameters associated with bone and muscle quality may offer additional value, yet sex-specific analyses are limited, despite sex differences in incidence and hormones.
PURPOSE
To explore the associations between MRI-based vertebral bone quality (VBQ) score, psoas muscle index (PMI), and paravertebral muscle fat infiltration (FI) fraction with OVCFs, and to assess the potential diagnostic performance of MRI parameters across sexes.
STUDY TYPE
Retrospective.
POPULATION
260 subjects (≥ 50 years); 130 OVCF patients (73.0 years (67.0-80.0), 89 females) and 130 non-fracture (NF) patients (64.5 years (58.0-73.0), 76 females).
FIELD STRENGTH AND SEQUENCES
3 T and 1.5 T. T1-weighted TSE and T2-weighted TSE (Siemens) and T1-weighted FSE and T2-weighted FSE (United Imaging).
ASSESSMENT
VBQ was calculated on sagittal T1-weighted MRI; PMI and FI were quantified on axial T2-weighted MRI at the L3 endplate by ImageJ. BMD was derived from CT using QCT PRO software. Two trained observers, blinded to clinical data, performed all MRI measurements.
STATISTICAL TESTS
Significance level was set at p < 0.05. t-test/Mann-Whitney U test, chi-squared test (χ2), Spearman's rank correlation coefficient, multivariate logistic regression, receiver operating characteristic (ROC) curve analysis with area under the curve (AUC). Bootstrap resampling (1000 iterations) for internal validation.
RESULTS
The OVCF group exhibited significantly elevated VBQ (3.71 ± 0.55 vs. 3.25 ± 0.58) and FI (24.11% (21.66-28.92) vs. 20.31% (18.90-22.14)), while PMI (3.42 ± 1.02 vs. 4.08 ± 1.14) and BMD (55.82 mg/cm3 (38.75-70.90) vs. 89.24 mg/cm3 (67.80-110.00)) were reduced. FI was independently associated with OVCFs exclusively in females (OR = 1.566). The combined MRI model (VBQ + FI + PMI) yielded a significantly higher AUC in females (AUC = 0.896) than in males (AUC = 0.720).
DATA CONCLUSION
VBQ, PMI, and FI reveal significant sex-specific correlations with OVCFs. The multi-parametric MRI model shows considerable potential as a diagnostic aid for OVCFs in individuals aged over 50, particularly in females.
LEVEL OF EVIDENCE: 4
TECHNICAL EFFICACY STAGE
2 (Diagnostic Accuracy).
Meng Sun, Wanling Jiang, Haoyu Wang et al.· Journal of Magnetic Resonanc...· 1 citation
