The comparator pool sets the candidate list in a 73-preparation dietary screen in high-fat-diet mice

Background Screens of dietary preparations test many candidates against one shared control group. The reference chosen for a candidate decides which candidates emerge. Methods In this study, we employed a resource of 824 male C57BL/6 mice. That resource contained 86 herb-coded preparations administered in the diet across eight cohorts. Of these, 73 met the pre-specified criterion for the comparative screen in six cohorts. The screen yielded 583 preparation-versus-pool comparisons in a metabolic family of 365 tests and a tissue family of 218 tests. We compared each preparation within its cohort with the preparations tested alongside it and with the untreated high-fat-diet control. We held the false discovery rate within families by Benjamini-Hochberg control. We also ran a step-down max-statistic permutation across the whole comparison set, with a model-validity precondition. Results Body-weight gain and fat-depot mass were the two endpoints whose high-fat-diet model was established in all eight cohorts. The two references agreed in 83.4% of comparisons, and their block-level mean difference was equivalent within +/-10 percentage points. The comparison-level differences lay between -33.3 and +31.4 percentage points in 95% of cases. We decomposed the spread: one percentage point of difference between the comparator pool and the untreated control added 0.99 percentage points of disagreement (R2 = 0.87). The 14-fold difference in the size of the two references added none (R2 = 0.00). Three preparations reached family-wise significance with step-down adjusted P values of 0.000-0.022, and each was selected in every one of 1 000 bootstrapped resamples. Seven reached q < 0.05, and among those seven body-weight gain was 27.4-70.6% lower in five and fat-depot mass was 42.5-69.0% lower in five. Nine reached the exploratory level. The candidate list kept a stable core and a specification-dependent periphery across 64 analysis specifications. Those specifications vary the reference, the unit of analysis, the multiplicity convention and the threshold. That core was DaSS 94%, LuHu 88%, YiRn 78% and JuFn 75%. Conclusion Reading the comparator as a method makes the candidate list a statement about which preparations survive which reference.

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Journal
Frontiers in Nutrition
Published
2026-11-11
DOI
https://doi.org/10.3389/fnut.2026.2012267
Primary Topic
Statistical Methods in Clinical Trials
Type
article
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article

The comparator pool sets the candidate list in a 73-preparation dietary screen in high-fat-diet mice

Yang Chen, Jing Zhang, Xiaoping Li, Yanmin Liu et al.
Frontiers in Nutrition
Statistical Methods in Clinical Trials
article

The comparator pool sets the candidate list in a 73-preparation dietary screen in high-fat-diet mice

Yang Chen, Jing Zhang, Xiaoping Li, Yanmin Liu, Qinwei Qiu, Xiaoxiao Shang, Cheng-Rui Wang, Yu-Sheng Deng, Zhi-Min Yang
article en

Abstract

Background Screens of dietary preparations test many candidates against one shared control group. The reference chosen for a candidate decides which candidates emerge. Methods In this study, we employed a resource of 824 male C57BL/6 mice. That resource contained 86 herb-coded preparations administered in the diet across eight cohorts. Of these, 73 met the pre-specified criterion for the comparative screen in six cohorts. The screen yielded 583 preparation-versus-pool comparisons in a metabolic family of 365 tests and a tissue family of 218 tests. We compared each preparation within its cohort with the preparations tested alongside it and with the untreated high-fat-diet control. We held the false discovery rate within families by Benjamini-Hochberg control. We also ran a step-down max-statistic permutation across the whole comparison set, with a model-validity precondition. Results Body-weight gain and fat-depot mass were the two endpoints whose high-fat-diet model was established in all eight cohorts. The two references agreed in 83.4% of comparisons, and their block-level mean difference was equivalent within +/-10 percentage points. The comparison-level differences lay between -33.3 and +31.4 percentage points in 95% of cases. We decomposed the spread: one percentage point of difference between the comparator pool and the untreated control added 0.99 percentage points of disagreement (R2 = 0.87). The 14-fold difference in the size of the two references added none (R2 = 0.00). Three preparations reached family-wise significance with step-down adjusted P values of 0.000-0.022, and each was selected in every one of 1 000 bootstrapped resamples. Seven reached q < 0.05, and among those seven body-weight gain was 27.4-70.6% lower in five and fat-depot mass was 42.5-69.0% lower in five. Nine reached the exploratory level. The candidate list kept a stable core and a specification-dependent periphery across 64 analysis specifications. Those specifications vary the reference, the unit of analysis, the multiplicity convention and the threshold. That core was DaSS 94%, LuHu 88%, YiRn 78% and JuFn 75%. Conclusion Reading the comparator as a method makes the candidate list a statement about which preparations survive which reference.

Frontiers in NutritionVol. 13
BGI Group (China) (CN), Guangzhou University of Chinese Medicine (CN), University of Copenhagen (DK), Guangdong Pharmaceutical University (CN), Guangdong Provincial Hospital of Traditional Chinese Medicine (CN), BGI Genomics (CN), BGI Research (CN)
Statistical Methods in Clinical Trials
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