Renal negative pressure treatment as a novel therapy for heart failure-induced renal dysfunction.


Journal

American journal of physiology. Regulatory, integrative and comparative physiology
ISSN: 1522-1490
Titre abrégé: Am J Physiol Regul Integr Comp Physiol
Pays: United States
ID NLM: 100901230

Informations de publication

Date de publication:
01 10 2021
Historique:
pubmed: 19 8 2021
medline: 21 10 2021
entrez: 18 8 2021
Statut: ppublish

Résumé

Congestion is the primary pathophysiological lesion in most heart failure (HF) hospitalizations. Renal congestion increases renal tubular pressure, reducing glomerular filtration rate (GFR) and diuresis. Because each nephron is a fluid-filled column, renal negative pressure therapy (rNPT) applied to the urinary collecting system should reduce tubular pressure, potentially improving kidney function. We evaluated the renal response to rNPT in congestive HF. Ten anesthetized ∼80-kg pigs underwent instrumentation with bilateral renal pelvic JuxtaFlow catheters. GFR was determined by iothalamate clearance (mGFR) and renal plasma flow (RPF) by para-aminohippurate clearance. Each animal served as its own control with randomization of left versus right kidney to -30 mmHg rNPT or no rNPT. mGFR and RPF were measured simultaneously from the rNPT and no rNPT kidney. Congestive HF was induced via cardiac tamponade maintaining central venous pressure at 20-22.5 mmHg throughout the experiment. Before HF induction, rNPT increased natriuresis, diuresis, and mGFR compared with the control kidney (

Identifiants

pubmed: 34405731
doi: 10.1152/ajpregu.00115.2021
doi:

Substances chimiques

Sodium Potassium Chloride Symporter Inhibitors 0
Furosemide 7LXU5N7ZO5

Banques de données

figshare
['10.6084/m9.figshare.14503062.v1']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

R588-R594

Auteurs

Veena S Rao (VS)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.

Christopher Maulion (C)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.

Jennifer L Asher (JL)

Department of Comparative Medicine, Yale University School of Medicine, New Haven, Connecticut.

Juan B Ivey-Miranda (JB)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.
Hospital de Cardiologia, Instituto Mexicano del Seguro Social, Mexico City, Mexico.

Zachary L Cox (ZL)

Department of Pharmacy Practice, Lipscomb University College of Pharmacy, Nashville, Tennessee.
Department of Pharmacy, Vanderbilt University Medical Center, Nashville, Tennessee.

Julieta Moreno-Villagomez (J)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.
Facultad de Estudios Superiores Iztacala, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico.

Devin Mahoney (D)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.

Jeffrey M Turner (JM)

Department of Medicine, Division of Nephrology, Yale University School of Medicine, New Haven, Connecticut.

F Perry Wilson (FP)

Clinical and translational research accelerator, Yale University School of Medicine, New Haven, Connecticut.

Christopher S Wilcox (CS)

Division of Nephrology and Hypertension Center, Georgetown University, Washington, District of Columbia.

Jeffrey M Testani (JM)

Department of Internal Medicine, Section of Cardiovascular Medicine, Yale University School of Medicine, New Haven, Connecticut.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH