Growth differentiation factor-11 supplementation improves survival and promotes recovery after ischemic stroke in aged mice.


Journal

Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617

Informations de publication

Date de publication:
04 05 2020
Historique:
received: 16 09 2019
accepted: 24 03 2020
pubmed: 5 5 2020
medline: 26 2 2021
entrez: 5 5 2020
Statut: ppublish

Résumé

Growth differentiation factor (GDF) 11 levels decline with aging. The age-related loss of GDF 11 has been implicated in the pathogenesis of a variety of age-related diseases. GDF11 supplementation reversed cardiac hypertrophy, bone loss, and pulmonary dysfunction in old mice, suggesting that GDF11 has a rejuvenating effect. Less is known about the potential of GDF11 to improve recovery after an acute injury, such as stroke, in aged mice. GDF11/8 levels were assessed in young and aged male mice and in postmortem human brain samples. Aged mice were subjected to a transient middle cerebral artery occlusion (MCAo). Five days after MCAo, mice received and bromodeoxyuridine / 5-Bromo-2'-deoxyuridine (BrdU) and either recombinant GDF11 or vehicle for five days and were assessed for recovery for one month following stroke. MRI was used to determine cerebrospinal fluid (CSF) volume, corpus callosum (CC) area, and brain atrophy at 30 days post-stroke. Immunohistochemistry was used to assess gliosis, neurogenesis, angiogenesis and synaptic density. Lower GDF11/8 levels were found with age in both mice and humans (p<0.05). GDF11 supplementation reduced mortality and improved sensorimotor deficits after stroke. Treatment also reduced brain atrophy and gliosis, increased angiogenesis, improved white matter integrity, and reduced inflammation after stroke. GDF11 may have a role in brain repair after ischemic injury.

Identifiants

pubmed: 32365331
doi: 10.18632/aging.103122
pii: 103122
pmc: PMC7244081
doi:

Substances chimiques

Bone Morphogenetic Proteins 0
Gdf11 protein, mouse 0
Growth Differentiation Factors 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

8049-8066

Subventions

Organisme : NIA NIH HHS
ID : P30 AG066468
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG005133
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS094543
Pays : United States

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Auteurs

Jacob Hudobenko (J)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Bhanu Priya Ganesh (BP)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Jianjun Jiang (J)

Baylor College of Medicine, Houston, TX 77030, USA.

Eric C Mohan (EC)

University of Connecticut Health Science Center, Farmington, CT 06030, USA.

Songmi Lee (S)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Sunil Sheth (S)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Diego Morales (D)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Liang Zhu (L)

Biostatistics and Epidemiology Research Design Core, Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

Julia K Kofler (JK)

Department of Pathology, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Robia G Pautler (RG)

Baylor College of Medicine, Houston, TX 77030, USA.

Louise D McCullough (LD)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Memorial Hermann Hospital, Texas Medical Center, Houston, TX 77030, USA.

Anjali Chauhan (A)

Department of Neurology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.

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Classifications MeSH