An oral, liver-restricted LXR inverse agonist for dyslipidemia: preclinical development and phase 1 trial.
Li X, Benegiamo G, Vijayakumar A, Sroda N, Kimura M, Huss RS, Weng S, Murakami E, Kirby BJ, von Alvensleben GVG, Kremoser C, Gane EJ, Takebe T, Myers RP, Subramanian GM, Auwerx J
Paper source
An oral, liver-restricted LXR inverse agonist for dyslipidemia: preclinical development and phase 1 trial.
This rigor review was examined and confirmed by Adcurare Editorial · July 7, 2026
How this rating was calculated▸
- ReportingBiological variables not met−0.5★
- ReportingStudy design partially met−0.25★
- ReportingEthical approvals partially met−0.25★
- ReportingKey resources partially met−0.25★
- ReportingStatistical analysis partially met−0.25★
- ReportingData & code availability partially met−0.25★
- ReportingReporting transparency partially met−0.25★
- No reported statistical tests were found to recompute.
- Biological variables not reported
- Statistical reporting gaps (tests, assumptions, effect sizes)
- Data/code availability incomplete
- Ethics/consent reporting incomplete
- Key resources under-identified (antibodies, cell lines, RRIDs)
- Reporting/transparency gaps
- Study-design details incomplete (controls, blinding, power)
This Adcurare Rigor Review uses AI Rigor Reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
The paper presents a well-premised mixed preclinical/phase 1 study of a liver-restricted LXR inverse agonist with adequate scientific premise, trial registration, and some detailed methods. Major weaknesses include missing randomization/blinding details for both preclinical and clinical components, incomplete biological variable reporting for animal studies, and lack of cell line authentication and reagent catalog numbers.
The three independent reviewers agreed on most dimensions but diverged slightly on biological variables (Reviewer 2 pass vs. Reviewer 3 fail) and reporting transparency (Reviewer 3 pass vs. warn). Synthesized judgments weigh all evidence. The statistics verification component found 0 recomputable tests, so no mathematical errors were identified, but statistics correctness is unverified for all tests.
11 major claims checked against the paper's own evidence: all adequately supported.
8 copyedit issues flagged: mostly consistency, clarity, grammar.
Checked 72 references: 1 verified — 71 not checked.
8 data/code links checked; 7 live.
Registered (2 IDs: ClinicalTrials.gov). Reporting guideline cited: CONSORT.
The manuscript is not ready for submission in its current form. It requires substantive revision to address the identified rigor gaps — particularly the missing randomization/blinding, animal biological variable reporting, and key resource identification — before it meets the standards of a high-quality journal. The copyedit issues are minor and can be addressed concurrently.
- 1.HIGHrigorReport the randomization method (e.g., computer-generated random sequence) and whether allocation was concealed for the phase 1 trial in the Methods, Study design section.Without this, the study cannot be evaluated for internal validity and risks rejection.
- 2.HIGHrigorAdd a statement on blinding for all preclinical experiments (who was blinded during outcome assessment, allocation concealment) and for the phase 1 trial (e.g., double-blind, open-label) in the Methods.Blinding is a fundamental bias-control measure; its absence undermines credibility.
- 3.HIGHreportingReport sex, age, and weight for every animal experiment (DIO mice, SD rats, ZDF rats) in the Results or figure legends, and provide a scientific justification if only one sex was used.Missing biological variables prevent reproducibility and generalization.
- 4.HIGHrigorProvide authentication certificates (e.g., STR profiling) for the iPS cell lines used in organoid studies and state mycoplasma testing results in the Methods, HLO models section.Unvalidated cell lines are a known source of irreproducibility.
- 5.HIGHdata codeDeposit all preclinical raw data in a public repository (e.g., Dryad, Figshare) with a persistent DOI, not only as supplementary source data.Supplementary material is not a permanent, citable repository and does not meet modern data-sharing standards.
- 6.HIGHrigorAdd a formal power analysis or at minimum a sample size rationale for the phase 1 primary endpoint, even if exploratory, in the Methods, Statistical analyses section.Reviewers and editors expect sample size justification; the current statement is insufficient.
- 7.HIGHreportingExplicitly state that a CONSORT checklist was completed and submitted, and reference it by name (e.g., 'The CONSORT checklist is provided in the Supplementary Information') in the Methods, Reporting summary section.Transparent reporting guidelines are standard for clinical trials.
- 8.HIGHreportingTone down the conclusion that TLC-2716 'has potential for managing cardiovascular risk' to reflect exploratory phase 1 data in healthy participants; rephrase to 'suggesting potential for further investigation' in the Abstract and Discussion.Overstated conclusions are the most common reviewer objection and can mislead readers.
- 9.HIGHethicsName the specific institution that approved the animal studies and include a protocol number in the Methods, Toxicity study section.A generic 'IACUC' without institution or protocol number is inadequate for verification.
- 10.MEDIUMrigorAdd catalog numbers or RRIDs for all key reagents (e.g., BODIPY 493/503, sodium oleate, cell culture components) in the Methods.Enables exact replication of experiments.
- 11.MEDIUMstatisticsReport exact p-values (e.g., 'P = 0.003') consistently for all comparisons, including preclinical, rather than thresholds alone, in figure legends and tables.Threshold p-values ('P < 0.05') are less informative and are not best practice.
- 12.MEDIUMstatisticsShow individual data points (scatter overlay) in all box/bar plots to improve transparency in figures.Box plots alone can hide the data distribution and sample size.
- 13.MEDIUMstatisticsAdd a statement describing how assumptions (e.g., normality, equal variance) were verified or why non-parametric tests were chosen in the Methods, Statistical analyses section.Provides confidence that the chosen tests are appropriate.
- 14.MEDIUMdata codeProvide a managed-access platform (e.g., Vivli, YODA) for clinical data requests rather than 'upon reasonable request' in the Data availability statement.Managed-access platforms provide a transparent and consistent process.
- 15.MEDIUMreportingReport the race/ethnicity of human participants in the phase 1 trial baseline demographics (Table 1 or text).Demographic reporting is a standard CONSORT recommendation.
- 16.LOWcopyeditClarify if the VLDL cholesterol row in Table 1 is a duplicate of the RC (predose) row or a different metric; correct if erroneous.Identical values for different biomarkers appear to be a copy-paste error.
- 17.LOWcopyeditRephrase 'gut- and liver-restricted' to 'restricted to the liver and gut' for clarity in the Abstract.Stylistic improvement.
- 18.LOWcopyeditBreak the dense Figure 2 legend into separate panel descriptions for clarity.Improves readability.
- 19.LOWethicsAdd a statement that the clinical trial was conducted in accordance with the Declaration of Helsinki or ICH-GCP, rather than 'relevant local regulatory policies', in the Methods, Study oversight section.Aligns with standard ethical reporting.
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