Evidence map›Paper›PMID 35027768›Full record

ArticleNature metabolism2022

Identification of a regulatory pathway inhibiting adipogenesis via RSPO2.

Hua Dong, Wenfei Sun, Yang Shen, Miroslav Baláz, Lucia Balázová, Lianggong Ding, Mona Löffler, Bradford Hamilton, Nora Klöting, Matthias Blüher and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Nature metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
7.9field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Guideline
  2. Pooled it
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  8. Advances in Adipose Tissue Biology.Endocrine reviews · 2026
    Review
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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

13 authors at 4 institutions in 3 countries.

Hua Dong *Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.ORCID http://orcid.org/0000-0002-8235-726X
Wenfei Sun *Institute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.ORCID http://orcid.org/0000-0001-5762-6010
Yang ShenGlobal Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Biberach, Germany.
Miroslav BalázInstitute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
Lucia BalázováInstitute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
Lianggong DingInstitute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland.
Mona LöfflerGlobal Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Biberach, Germany.ORCID http://orcid.org/0000-0001-5325-8177
Bradford HamiltonGlobal Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Biberach, Germany.
Nora KlötingHelmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum Munchen at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany.
Matthias BlüherHelmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum Munchen at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany.
Heike NeubauerGlobal Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Biberach, Germany.ORCID http://orcid.org/0000-0001-8470-968X
Holger KleinGlobal Computational Biology and Digital Sciences, Boehringer Ingelheim Pharma GmbH and Co. KG, Biberach/Riss, Biberach, Germany.ORCID http://orcid.org/0000-0002-6904-2319
Christian WolfrumInstitute of Food, Nutrition and Health, ETH Zurich, Schwerzenbach, Switzerland. christian-wolfrum@ethz.ch.ORCID http://orcid.org/0000-0002-3862-6805
Boehringer Ingelheim (Germany) · DEETH Zurich · CHHelmholtz Zentrum München · DESlovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthy adipose tissue remodeling depends on the balance between de novo adipogenesis from adipogenic progenitor cells and the hypertrophy of adipocytes. De novo adipogenesis has been shown to promote healthy adipose tissue expansion, which confers protection from obesity-associated insulin resistance. Here, we define the role and trajectory of different adipogenic precursor subpopulations and further delineate the mechanism and cellular trajectory of adipogenesis, using single-cell RNA-sequencing datasets of murine adipogenic precursors. We identify Rspo2 as a functional regulator of adipogenesis, which is secreted by a subset of CD142

Indexed as

AdipogenesisMetabolic Networks and PathwaysAdipocytesAdipose TissueAnimalsComputational BiologyGene Expression ProfilingGene Expression RegulationGenetic HeterogeneityHumansImmunophenotypingInsulin ResistanceMiceObesityReceptors, G-Protein-CoupledRecombinant ProteinsLGR4 protein, humanReceptors, G-Protein-CoupledRecombinant ProteinsRSPO2 protein, mouseR-SpondinsThrombospondins

Identifiers

PMID35027768
PMCPMC8803606
OpenAlexW4205990284

What OpenQuestion 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 OpenQuestion graph.