Evidence map›Paper›PMID 31645721›Full record

ArticleNature2019

Heterogeneity in old fibroblasts is linked to variability in reprogramming and wound healing.

Salah Mahmoudi, Elena Mancini, Lucy Xu, Alessandra Moore, Fereshteh Jahanbani, Katja Hebestreit, Rajini Srinivasan, Xiyan Li, Keerthana Devarajan, Laurie Prélot and 9 more

Open access · greenAbstract read
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% of its field
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

165 citing papers in PubMed, 1 synthesis or guideline pooled it, 293 citations in OpenAlex.

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  19. Fibroblast orchestration of inflammaging via NF-kB activation.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

105 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Salah Mahmoudi *Department of Genetics, Stanford University, Stanford, CA, USA.
Elena Mancini *Department of Genetics, Stanford University, Stanford, CA, USA.
Lucy XuDepartment of Genetics, Stanford University, Stanford, CA, USA.
Alessandra MooreDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, CA, USA.
Fereshteh JahanbaniDepartment of Genetics, Stanford University, Stanford, CA, USA.
Katja HebestreitDepartment of Genetics, Stanford University, Stanford, CA, USA.
Rajini SrinivasanInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Xiyan LiDepartment of Genetics, Stanford University, Stanford, CA, USA.
Keerthana DevarajanDepartment of Genetics, Stanford University, Stanford, CA, USA.
Laurie PrélotDepartment of Genetics, Stanford University, Stanford, CA, USA.
Cheen Euong AngInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Yohei ShibuyaInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Bérénice A BenayounDepartment of Genetics, Stanford University, Stanford, CA, USA.
Anne Lynn S ChangDepartment of Dermatology, Stanford University, Stanford, CA, USA.
Marius WernigInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Joanna WysockaInstitute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA.
Michael T LongakerDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University, Stanford, CA, USA.
Michael P SnyderDepartment of Genetics, Stanford University, Stanford, CA, USA.
Anne BrunetDepartment of Genetics, Stanford University, Stanford, CA, USA. anne.brunet@stanford.edu.
Stanford University · USCalifornia Institute for Regenerative Medicine · US

Funding

Wnt signaling in muscle stem cell agingP01AG036695 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS A. RANDO · 2011 to 2026
$29.3M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Project 3: Effect of Age and Longevity Genes on Epigenomic MechanismsP01GM099130 · NIGMS · STANFORD UNIVERSITY · PI WEISSMAN, SHERMAN MORTON · 2011 to 2015
$11.4M
Fibroblast lineage mechanisms of scarless skin healingR01GM116892 · NIGMS · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T, LORENZ, HERMANN PETER · 2017 to 2020
$1.2M
Regulation of transcriptional consistency by broad H3K4me3 domains in young cells and during agingR00AG049934 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENAYOUN, BERENICE ANATH · 2017 to 2019
$717k
Ultra high throughput sequencer for sustaining and enhancing multi-scale genomic studiesS10OD025212 · OD · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2018 to 2018
$600k
Four Laser, 18 Color Cell Sorter in the SSFFS10RR025518 · NCRR · STANFORD UNIVERSITY · PI HERZENBERG, LEONARD A · 2009 to 2009
$500k
Regulation of transcriptional consistency by broad H3K4me3 domains in young cells and during agingK99AG049934 · NIA · STANFORD UNIVERSITY · PI BENAYOUN, BERENICE ANATH · 2015 to 2016
$191k
NCRR NIH HHS S10 RR025518NIA NIH HHS K99 AG049934NIA NIH HHS P01 AG036695NIA NIH HHS R00 AG049934NIDDK NIH HHS P30 DK116074NIGMS NIH HHS P01 GM099130NIGMS NIH HHS R01 GM116892NIH HHS S10 OD025212
6 · The paper itself

Abstract

Age-associated chronic inflammation (inflammageing) is a central hallmark of ageing

Indexed as

Cellular ReprogrammingWound HealingAgingAnimalsCell LineCellular SenescenceCulture Media, ConditionedCytokinesFibroblastsHumansInduced Pluripotent Stem CellsInflammation MediatorsJewsMaleMiceMice, Inbred C57BLCulture Media, ConditionedCytokinesInflammation Mediators

Identifiers

PMID31645721
PMCPMC7253295
OpenAlexW2981890739

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.