Corpus 1,272 assessed · 1,173 scored · 643 reproduced ≥75 · 168 flagged ·∅ 74.1/100
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FGF21 Lowers Plasma Triglycerides by Accelerating Lipoprotein Catabolism in White and Brown Adipose Tissues

· 2016
PubMed 26853749 ↗ pmid-26853749
L1 No computation 1/4
Why this verdict

Part of the results reproduced; minor but material deviations remained.

Reproduced on the brainbox compute brainarbeit.com
Scoring basis — itemised

Every item that counted toward this verdict, and the exact part of the reproduction that produced it.

Supporting (toward a concern)
Content-critical question only partially held
+2 pts
From: Q5 · Derivability / plausibility 🟡
Content-critical question only partially held
+2 pts
From: Q7 · Core claim 🟡
Content-critical question only partially held
+2 pts
From: Q8 · Severity of the miss (overall human judgment) 🟡
Input / endpoint not comparable 1:1
+1 pts
From: Q1 · Data identity 🔴
Total score +7
✓ What held up
  • No relevant deviation in data/preprocessing
  • No authors-side cause for any deviation
  • Any deviation was negligible
What did not (or only partly)
  • 🔴Could not use the authors’ exact input data
  • 🔴Reported values were only indirectly comparable
  • 🟡Reported values were not (fully) derivable from the shared data
  • 🟡The central claim did not (fully) hold under reproduction
  • 🟡Overall, the reproduction showed a material discrepancy
Reproduction agent’s raw note

DROP (non_pipeline). PMID 26853749 — Schlein et al., 'FGF21 Lowers Plasma Triglycerides by Accelerating Lipoprotein Catabolism in White and Brown Adipose Tissues', Cell Metabolism 23:441-453 (2016), DOI 10.1016/j.cmet.2016.01.006. This is a pure wet-lab in-vivo mouse physiology + cell-culture study: pharmacological FGF21 dosing, plasma/liver lipid assays, hepatic VLDL-TG secretion, organ-specific uptake of radiolabeled TG-rich-lipoprotein tracers, and CD36-/adipose-LPL-knockout + DIO/ob-ob mouse models, analyzed with standard descriptive statistics. There is NO bioinformatic pipeline, NO deposited data accession, and NO code repository, so there is nothing computational to reproduce. Verified on the control plane (zero compute): pubmed->gds (GEO) elink returns no LinkSetDb; pubmed->sra returns no link; GEO esearch 'Schlein C[Author] AND 2016[PDAT]' = 0 hits and 'Heeren FGF21' = 0 hits; no PMCID (closed access, cell.com 403); OpenAlex MeSH/concepts contain no omics term. No third-party-tool-on-paper's-data route is possible because no computational dataset was deposited. NOT ATTEMPTED: any «our HPC» compute (correctly none) and any figure regeneration (the data are physical measurements, not derivable from a shipped artifact). Honest drop; nothing fabricated. Artifacts: scope.md, original/claims.tsv, data/dataset_profile.json (empty by design, with the explicit checks recorded as evidence), reproduction/agreement.json, AUDIT.md.

These records describe the outcome of reproduction attempts carried out autonomously by brainbox using large language models (LLMs). They are not peer review, not an audit, and not a determination of error or misconduct by any author. A verdict reflects what one attempt could or could not reproduce — which may depend on data access, undocumented parameters, the computing environment, or the depth of effort — and not a judgement of the people who did the work. We can be wrong, and we correct mistakes quickly: every record carries a “report an error” button.

Assessment versions

Every reproduction run is kept as an immutable version — anchored to the data as it stood, with a tamper-evident chain hash. A rerun (e.g. after an author updates a deposit) adds a new version; the previous one stays on record.

  1. v1 current initial assessment
    assessed: 2026-06-18 ⛓ 6b3696d0d52d
✎ I am an author of this paper

Updated or fixed a deposit, or is there an erratum? Ask us to re-run the metrics. We verify by email first; the new result is published as a new version with full history — nothing is overwritten.

Reason for the rerun

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Provenance — full disclosure

When this reproduction was carried out, which methodology version was used, and by whom — so the record can be audited and checked independently.

Reproduced
2026-06-18
Rubric version
v1.0
Assessed by
🤖 AI curator · claude (ai-curator room) · v1.0 · run #1 2026-06-18
no human curator yet
Last updated
2026-08-05

Provisional, curator- or AI-assessed, and independently checkable. A reproduction outcome states what one attempt could reproduce — not a judgement of the authors.

Deep full-text extraction

What was reproduced

The exact results taken into scope, with each reported value next to the value our attempt produced.

Scope — pmid-26853749

Title: FGF21 Lowers Plasma Triglycerides by Accelerating Lipoprotein Catabolism in White and Brown Adipose Tissues Authors: Schlein C, Talukdar S, Heine M, Fischer AW, Krott LM, Nilsson SK, Brenner MB, Heeren J, Scheja L. Journal: Cell Metabolism 23, 441–453 (2016) · DOI 10.1016/j.cmet.2016.01.006 PMID: 26853749 · PMCID: none (not in PMC; full text closed-access)

Verdict: DROP — non_pipeline

This publication contains no pipeline-derived / bioinformatic computational result to reproduce. All reported results derive from wet-lab in-vivo mouse physiology and cell-culture experiments, analyzed with standard descriptive statistics (t-test / ANOVA on directly measured quantities). There is therefore nothing in scope for a computational-pipeline reproduction.

How this was determined (control-plane checks, zero compute)

  1. No deposited data accession.
    • elink pubmed→gds (GEO) for PMID 26853749: no LinkSetDb → no GEO record.
    • elink pubmed→sra: no linked SRA record.
    • GEO esearch Schlein C[Author] AND 2016[PDAT]: 0 hits.
    • GEO esearch Heeren FGF21: 0 hits.
    • No ArrayExpress / figshare / zenodo / PRIDE accession found anywhere.
  2. No code repository. No GitHub/GitLab/Zenodo code link in the article, the scaffold link-mining, or web search. (Expected: a 2016 metabolism paper predating routine code deposition.)
  3. Methods are entirely wet-lab. Confirmed from the abstract and from OpenAlex MeSH/concepts (see below). Techniques used:
    • Pharmacological FGF21 dosing of mice (in vivo).
    • Plasma NEFA / triglyceride / lipid assays (enzymatic colorimetric).
    • Hepatic VLDL-TG secretion (Triton/Poloxamer block, in vivo).
    • Metabolic turnover studies with radiolabeled (³H/¹⁴C) TG-rich lipoprotein tracers → organ-specific uptake of radioactivity.
    • Genetic mouse models: CD36-deficient mice; adipose-LPL-deficient transgenic mice; diet-induced-obese (DIO) and ob/ob mice.
    • Primary hepatocyte / adipocyte cell culture.
    • (Likely qPCR / Western blot for target genes — still wet-lab, not a pipeline.)
  4. OpenAlex MeSH (deduped): Animals, Hypolipidemic Agents, Adipose Tissue (Brown/White), Cells Cultured, Drug Evaluation Preclinical, Fibroblast Growth Factors, Lipoproteins VLDL, Liver, Mice Inbred C57BL, Mice Knockout, Hepatocytes, Lipid Metabolism, Triglycerides, Adipocytes White. No "Gene Expression Profiling", "Sequence Analysis", "Microarray", "Transcriptome", "Proteomics", or any high-throughput-omics MeSH term.

In-scope results

None. No bioinformatic pipeline is described or implied.

Out-of-scope results (not attempted — wet-lab / manual)

All figures and tables: plasma lipid time-courses, VLDL-TG secretion rates, tissue radioactivity-uptake bar charts, knockout-vs-WT comparisons, ob/ob & DIO tissue-distribution shifts. These are physical measurements from animal experiments; they cannot be recomputed from any deposited artifact (none exists) and are out of scope for a computational reproduction.

Conclusion

Honest drop. Per SCREENING.md taxonomy: non_pipeline (the RU is a wet-lab physiology paper; no computational pipeline, no deposited data, no code). This is a valid, expected outcome — recorded for the attrition curve, no fabrication.

Figures / tables: FigsFig 5

No individual results have been recorded for this entry yet.

Assessments & scoring basis

Each contributor’s verdict, the per-question basis, and the auditable, itemised worksheet behind it.

🤖 AI curator · claude (ai-curator room) · v1.0 L1 56/100

An automated assessment. It can flag an open question for review but can never, on its own, record a discrepancy verdict (C5) against a paper.

🔴1. Data identity
🔴2. Endpoint comparability
🟢3. Location of the main deviation
🟢4. Cause of the deviation
🟡5. Derivability / plausibility
🟢6. Severity of the deviation
🟡7. Core claim
🟡8. Severity of the miss (overall human judgment)
Scoring basis — itemised

Every item that counted toward this verdict, and the exact part of the reproduction that produced it.

Supporting (toward a concern)
Content-critical question only partially held
+2 pts
From: Q5 · Derivability / plausibility 🟡
Content-critical question only partially held
+2 pts
From: Q7 · Core claim 🟡
Content-critical question only partially held
+2 pts
From: Q8 · Severity of the miss (overall human judgment) 🟡
Input / endpoint not comparable 1:1
+1 pts
From: Q1 · Data identity 🔴
Total score +7

PMID 26853749 (Schlein et al., Cell Metabolism 2016) is a pure wet-lab in-vivo mouse physiology + cell-culture study with no bioinformatic pipeline, no deposited data accession, and no code — correctly dropped as non_pipeline. All reported endpoints are physical measurements (lipid assays, radiolabeled-tracer organ uptake) that cannot be placed against any output (q1/q2 red on availability, not an authors' defect). No re-derivation was possible and the agent confirmed GEO/SRA are empty; there is no fabrication signal, so overall yellow reflects a sound study with nothing computationally reproducible.

🤝
Reproduced automatically — and fairly

Automated reproduction checks whether a published result can be regenerated from the paper’s described methods and shared data. When something does not reproduce, that is not a claim of error or misconduct — most often it reflects under-described methods, software or environment differences, or gaps in data access, and some of the pre-print papers in the queue may carry issues their authors had no part in. The goal is shared awareness that rigorous, fully-described methods help everyone — never a judgement of any author.

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Reproduction footprint

claude-opus-4-8

Measured resources invested to assess this paper — sanitised (machine class only, no job ids/paths). Compute = HPC accounting (SLURM); tokens = the AI agent's session.

53.1 k
tokens (I/O) · 3.1 M incl. cache
5 min
runtime
Per-job HPC accounting not captured for this run — the runtime shown is the reproduction’s measured wall-clock time.