Evidence map›Paper›PMID 38063490›Full record

ArticleACS nano2023

Co-Delivery of Bioengineered Exosomes and Oxygen for Treating Critical Limb Ischemia in Diabetic Mice.

Ting Zhong, Ning Gao, Ya Guan, Zhongting Liu, Jianjun Guan

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
6.7field-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

15 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Targeted delivery of engineered adipose-derived stem cell secretome to promote cardiac repair after myocardial infarction.Journal of controlled release : official journal of the Controlled Release Society · 2025
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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

5 authors at 1 institution in 1 country.

Ting ZhongDepartment of Mechanical Engineering & Materials Science, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Ning GaoInstitute of Materials Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.
Ya GuanInstitute of Materials Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0002-6889-4966
Zhongting LiuInstitute of Materials Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0003-4541-3864
Jianjun GuanDepartment of Mechanical Engineering & Materials Science, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri 63130, United States.ORCID 0000-0002-1040-3386
Washington University in St. Louis · US

Funding

Hydrogel encapsulation of a tissue repair protein to treat chronic woundsR01AG056919 · NIA · OHIO STATE UNIVERSITY · PI GUAN, JIANJUN, LI, HAICHANG · 2017 to 2021
$2.4M
Targeted delivery of a proangiogenic and promyogenic protein for regeneration of diabetic ischemic limbsR01HL164062 · NHLBI · WASHINGTON UNIVERSITY · PI GUAN, JIANJUN, ZHANG, FUZHONG · 2022 to 2025
$2.3M
Preservation and Vascularization of Cardiac Extracellular Matrix after Myocardial InfarctionR01HL138175 · NHLBI · WASHINGTON UNIVERSITY · PI GUAN, JIANJUN · 2019 to 2022
$1.8M
Regenerative wound dressings for accelerating diabetic wound healingR01DK133949 · NIDDK · WASHINGTON UNIVERSITY · PI GUAN, JIANJUN · 2022 to 2025
$1.8M
Stem Cell Oxygenation and Ischemic Tissue RegenerationR01HL138353 · NHLBI · WASHINGTON UNIVERSITY · PI GUAN, JIANJUN · 2017 to 2020
$1.5M
CONTROL OF CARDIAC FIBROSIS TO PREVENT CARDIAC FUNCTION DETERIORATIONR01EB022018 · NIBIB · WASHINGTON UNIVERSITY · PI GUAN, JIANJUN · 2016 to 2018
$1.1M
NHLBI NIH HHS R01 HL138175NHLBI NIH HHS R01 HL138353NHLBI NIH HHS R01 HL164062NIA NIH HHS R01 AG056919NIBIB NIH HHS R01 EB022018NIDDK NIH HHS R01 DK133949
6 · The paper itself

Abstract

Diabetic patients with critical limb ischemia face a high rate of limb amputation. Regeneration of the vasculature and skeletal muscles can salvage diseased limbs. Therapy using stem cell-derived exosomes that contain multiple proangiogenic and promyogenic factors represents a promising strategy. Yet the therapeutic efficacy is not optimal because exosomes alone cannot efficiently rescue and recruit endothelial and skeletal muscle cells and restore their functions under hyperglycemic and ischemic conditions. To address these limitations, we fabricated ischemic-limb-targeting stem cell-derived exosomes and oxygen-releasing nanoparticles and codelivered them in order to recruit endothelial and skeletal muscle cells, improve cell survival under ischemia before vasculature is established, and restore cell morphogenic function under high glucose and ischemic conditions. The exosomes and oxygen-releasing nanoparticles, delivered by intravenous injection, specifically accumulated in the ischemic limbs. Following 4 weeks of delivery, the exosomes and released oxygen synergistically stimulated angiogenesis and muscle regeneration without inducing substantial inflammation and reactive oxygen species overproduction. Our work demonstrates that codelivery of exosomes and oxygen is a promising treatment solution for saving diabetic ischemic limbs.

Indexed as

Diabetes Mellitus, ExperimentalExosomesAnimalsChronic Limb-Threatening IschemiaHindlimbHumansIschemiaMiceMuscle, SkeletalNeovascularization, PhysiologicOxygenOxygenangiogenesiscritical limb ischemiahypoxia-induced exosomesischemic-limb-targetingmuscle regenerationoxygen-releasing nanoparticles

Identifiers

PMID38063490
PMCPMC10790628
OpenAlexW4389489711

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.