Evidence map›Paper›PMID 31342513›Full record

ArticleThe Journal of pathology2019

Diabetes induces myeloid bias in bone marrow progenitors associated with enhanced wound macrophage accumulation and impaired healing.

Pijus K Barman, Norifumi Urao, Timothy J Koh

Open access · greenAbstract read
In one paragraph

Article in The Journal of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Pijus K BarmanCenter for Wound Healing and Tissue Regeneration, Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA.
Norifumi UraoCenter for Wound Healing and Tissue Regeneration, Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA.
Timothy J KohCenter for Wound Healing and Tissue Regeneration, Department of Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA.ORCID 0000-0001-6549-7060
University of Illinois Chicago · US

Funding

Macrophage Phenotype and Impaired Wound HealingR01GM092850 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KOH, TIMOTHY J · 2011 to 2019
$3.5M
NIGMS NIH HHS R01 GM092850NIGMS NIH HHS R01GM092850
6 · The paper itself

Abstract

Diabetes induces dysregulation throughout the spectrum of myeloid lineage cells from progenitors to terminally differentiated cells. Another complication of diabetes is persistent inflammation, including prolonged accumulation of macrophages, which contributes to impaired wound healing. However, it remains unclear whether diabetes disrupts the response of bone marrow progenitors to peripheral injury and whether such dysregulation leads to sustained inflammation and impaired healing. Here, we demonstrated that diabetic mice (db/db, referred to here as DB) exhibit myeloid lineage bias during homeostasis and following injury. In addition, cells in the LSK (Lin

Indexed as

Cell LineageWound HealingAnimalsBone Marrow TransplantationCells, CulturedDiabetes Mellitus, Type 2Disease Models, AnimalMacrophagesMice, Inbred C57BLMice, KnockoutMyeloid Progenitor CellsMyelopoiesisReceptor, Macrophage Colony-Stimulating FactorReceptors, Interleukin-1 Type ISignal TransductionSkinIL1R1 protein, mouseReceptor, Macrophage Colony-Stimulating FactorReceptors, Interleukin-1 Type Idiabeteshematopoietic stem and progenitor cellsIL-1inflammationmacrophageM-CSFmyeloidmyelopoiesisprogenitorswound healing

Identifiers

PMID31342513
PMCPMC8212828
OpenAlexW2963181696

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.