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Ranked by formulaVerdict: Routine

In Vivo Transcriptomics-Based Framework for Systematic Indication Expansion

Capturing the systemic effects of drugs in vivo remains a fundamental challenge for drug repurposing strategies.

By Palmer, Koirala, Talukdar +12

Score████░░░░░░4.3

Caveats

  • Preprint; not yet peer reviewed.

VerdictCompetent work. Briefs at most.

Read the originalPDF

Abstract

Capturing the systemic effects of drugs in vivo remains a fundamental challenge for drug repurposing strategies. Here, we present an in vivo transcriptomics-based drug repurposing framework that profiles multi-organ RNA-seq from drug-treated rodents to model systemic drug responses and match tissue-specific drug signatures against a compendium of disease signatures for indication expansion. We applied this framework to semaglutide, a GLP-1 receptor agonist originally developed for diabetes and subsequently expanded for several other indications. By harmonizing more than 900 human disease transcriptomic signatures via agentic AI and using Z-transformed reversal of gene expression scoring to quantify drug-disease relationships, our approach successfully recovered established semaglutide indications while deprioritizing Alzheimers disease, an indication for which semaglutide was not effective. Top predictions for common diseases were supported by real-world electronic health record data from the Mount Sinai Health System and several predictions for rare indications are proposed for further investigation. This framework provides a scalable strategy for indication expansion across diverse therapeutic agents, especially investigational compounds for which real-world evidence remains sparse.

Z. Palmer, S. Koirala, N. Talukdar, X. Zhang, H. Garver, M. Mahlmeister, L. Huang, D. Joseph, D. Leshchiner, R. Shankar, S. W. Watts, X. Li, B. S. Glicksberg, A. Lauver, B. Chen

The editor's rubric

Heuristic review

DimensionLevelWeightWhat that level means
Leverage███░░ 324%A method or resource many groups across the field will adopt within a year.
Magnitude██░░░ 216%Solid incremental gain on a meaningful problem.
Evidence███░░ 320%Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
Novelty██░░░ 220%A new combination of known ideas.
Trajectory██░░░ 210%Some room to improve with obvious engineering.
Stakes███░░ 310%Meaningful benefit to many people within a few years.

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we propose, new method); verification (error bars, experimental validation); scale (scalable); stakes (genetic disease, major disease, prevention or cure).

How the score was computed

rank-2026-10-07

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Merit
5.1 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.5 / 10
Shrunk toward the desk prior by editor confidence (46%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
88%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v6 on Oct 15, 2026, 05:48 UTC. Paper type: method.
  • Categories: systems biology
  • BRIEF, No.8 in the Biology edition of October 15, 2026.