Evidence map›Paper›PMID 41436473›Full record

Articlenpj aging2025

Recommendations for biomarker data collection in clinical trials by longevity biotechnology companies.

Chiara M S Herzog, Jesse R Poganik, Nicola Boekstein, Kristen Fortney, James G Peyer, Jim Mellon, Risa Starr, Nir Barzilai, Mahdi Moqri

Abstract read
In one paragraph

Article in npj aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chiara M S Herzog *Department of Twin Research and Genetic Epidemiology, School of Life Course and Population Sciences, Faculty of Medicine and Life Sciences, King's College London, London, UK.
Jesse R Poganik *Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Nicola BoeksteinLongevity Biotechnology Association, Ramsey, MN, USA.
Kristen FortneyBioAge Labs, Emeryville, CA, USA.
James G PeyerCambrian Bio, New York, NY, USA.
Jim MellonJuvenescence, Ramsey, MN, USA.
Risa StarrLongevity Biotechnology Association, Ramsey, MN, USA.
Nir BarzilaiLongevity Biotechnology Association, Ramsey, MN, USA. nir.barzilai@einsteinmed.edu.
Mahdi MoqriDivision of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. mmoqri@bwh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers of aging have the potential to transform geroscience clinical trials because of their broad applications in stratifying participants, prioritizing interventions, and monitoring responses to geroprotectors. As longevity biotechnology companies (LBCs) continue to plan and launch innovative clinical trials, standard practices in collecting data and applying biomarkers of aging will allow the field to support parallel and ongoing validation and benchmarking efforts for aging biomarkers. Moreover, defining best practices will ensure future reuse of valuable clinical data through pre-competitive alignment on shared tools. Here, we propose recommendations for such collections. We believe that wide adoption of these recommendations will allow LBCs to produce and leverage the highest quality data from their clinical trials, while also benefiting the geroscience field more broadly with minimal additional effort.

Identifiers

PMID41436473
PMCPMC12824367

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.