Literature DB >> 23558795

Retinal blood flow velocity in metabolic syndrome.

Shay Gutfreund1, Elena Izkhakov, Russell Pokroy, Marianna Yaron, Hanny Yeshua, Zvia Burgansky-Eliash, Adiel Barak, Ardon Rubinstein.   

Abstract

BACKGROUND: Metabolic syndrome (MetS) is characterized by obesity, insulin resistance, dyslipidemia, and hypertension. The Retinal Function Imager (RFI) is a new technique for measuring retinal blood-flow velocity. This study aims to compare retinal blood flow velocity between MetS and healthy subjects.
METHODS: Twenty eyes of 20 MetS males and 21 eyes of 21 aged-matched healthy males underwent RFI and carotid-femoral pulse wave velocity (PWV) measurement as well as assessment of MetS parameters. The results in MetS and healthy subjects were compared.
RESULTS: The average venular velocity in the MetS patients was significantly higher than in the healthy subjects (2.7 ± 0.0 mm/sec versus 2.5 ± 0.0 mm/sec respectively, P=0.013), following adjustment for age, heart rate and systolic blood pressure. Carotid-femoral PWV was higher in the MetS population than the healthy controls (10.3 ± 1.2 mm/sec versus 9.3 ± 1.5 mm/sec respectively, P=0.005). The diastolic blood pressure and MAP were correlated strongly with the arterial blood flow velocities in healthy subjects (r=0.503, P=0.020 and r=0.474, P=0.030 respectively) but not in MetS subjects.
CONCLUSIONS: The RFI was able to distinguish between the retinal blood flow of normal and MetS subjects. Higher venular blood flow velocity and the poor correlation between velocity and blood pressure of MetS subjects suggest that MetS causes microvascular damage.

Entities:  

Mesh:

Year:  2013        PMID: 23558795     DOI: 10.1007/s00417-013-2325-4

Source DB:  PubMed          Journal:  Graefes Arch Clin Exp Ophthalmol        ISSN: 0721-832X            Impact factor:   3.117


  28 in total

Review 1.  High-resolution functional optical imaging: from the neocortex to the eye.

Authors:  Amiram Grinvald; Tobias Bonhoeffer; Ivo Vanzetta; Ayala Pollack; Eyal Aloni; Ron Ofri; Darin Nelson
Journal:  Ophthalmol Clin North Am       Date:  2004-03

2.  Influence of the metabolic syndrome on aortic stiffness in never treated hypertensive patients.

Authors:  Giuseppe Mulè; Santina Cottone; Rosalia Mongiovì; Paola Cusimano; Giovanni Mezzatesta; Giovanna Seddio; Vito Volpe; Emilio Nardi; Giuseppe Andronico; Giuseppe Piazza; Giovanni Cerasola
Journal:  Nutr Metab Cardiovasc Dis       Date:  2005-07-28       Impact factor: 4.222

Review 3.  Special report: Noninvasive multi-parameter functional optical imaging of the eye.

Authors:  Darin A Nelson; Sara Krupsky; Ayala Pollack; Eyal Aloni; Michael Belkin; Ivo Vanzetta; Mordechai Rosner; Amiram Grinvald
Journal:  Ophthalmic Surg Lasers Imaging       Date:  2005 Jan-Feb

4.  Endothelial glycocalyx damage coincides with microalbuminuria in type 1 diabetes.

Authors:  Max Nieuwdorp; Hans L Mooij; Jojanneke Kroon; Bektas Atasever; Jos A E Spaan; Can Ince; Frits Holleman; Michaela Diamant; Robert J Heine; Joost B L Hoekstra; John J P Kastelein; Erik S G Stroes; Hans Vink
Journal:  Diabetes       Date:  2006-04       Impact factor: 9.461

Review 5.  Retinal microvascular abnormalities and their relationship with hypertension, cardiovascular disease, and mortality.

Authors:  T Y Wong; R Klein; B E Klein; J M Tielsch; L Hubbard; F J Nieto
Journal:  Surv Ophthalmol       Date:  2001 Jul-Aug       Impact factor: 6.048

6.  Relationship between the parameters of retinal circulation measured by laser Doppler velocimetry and a marker of early systemic atherosclerosis.

Authors:  Taiji Nagaoka; Yoshinao Ishii; Toshiharu Takeuchi; Atsushi Takahashi; Eiichi Sato; Akitoshi Yoshida
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-02       Impact factor: 4.799

7.  Metabolic syndrome is associated with markers of subclinical atherosclerosis in a French population-based sample.

Authors:  N Ahluwalia; L Drouet; J-B Ruidavets; B Perret; J Amar; H Boccalon; H Hanaire-Broutin; J Ferrières
Journal:  Atherosclerosis       Date:  2005-08-29       Impact factor: 5.162

8.  Associations between the metabolic syndrome and retinal microvascular signs: the Atherosclerosis Risk In Communities study.

Authors:  Tien Yin Wong; Bruce B Duncan; Sherita Hill Golden; Ronald Klein; David J Couper; Barbara E K Klein; Larry D Hubbard; A Richey Sharrett; Maria I Schmidt
Journal:  Invest Ophthalmol Vis Sci       Date:  2004-09       Impact factor: 4.799

9.  The metabolic syndrome and retinal microvascular signs in a Japanese population: the Funagata study.

Authors:  R Kawasaki; J M Tielsch; J J Wang; T Y Wong; P Mitchell; Y Tano; M Tominaga; T Oizumi; M Daimon; T Kato; S Kawata; T Kayama; H Yamashita
Journal:  Br J Ophthalmol       Date:  2007-10-26       Impact factor: 4.638

10.  Arterial and venous compliance in obese and nonobese subjects.

Authors:  S Oren; E Grossman; E D Frohlich
Journal:  Am J Cardiol       Date:  1996-03-15       Impact factor: 2.778

View more
  8 in total

1.  Blood flow velocity measured using the Retinal Function Imager predicts successful ranibizumab treatment in neovascular age-related macular degeneration: early prospective cohort study.

Authors:  S C Böhni; J P Howell; M Bittner; L Faes; L M Bachmann; M A Thiel; M K Schmid
Journal:  Eye (Lond)       Date:  2015-02-27       Impact factor: 3.775

2.  Assessment of potential vessel segmentation pitfalls in the analysis of blood flow velocity using the Retinal Function Imager.

Authors:  Gábor Márk Somfai; Jing Tian; Delia Cabrera DeBuc
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2015-09-15       Impact factor: 3.117

Review 3.  Hepatic function and the cardiometabolic syndrome.

Authors:  Nicolas Wiernsperger
Journal:  Diabetes Metab Syndr Obes       Date:  2013-10-10       Impact factor: 3.168

Review 4.  The retinal function imager and clinical applications.

Authors:  Daniel Su; Sunir Garg
Journal:  Eye Vis (Lond)       Date:  2018-08-12

5.  Microvascular blood flow velocities measured with a retinal function imager: inter-eye correlations in healthy controls and an exploration in multiple sclerosis.

Authors:  Liang Wang; Ohemaa Kwakyi; James Nguyen; Esther Ogbuokiri; Olwen Murphy; Natalia Gonzalez Caldito; Laura Balcer; Elliot Frohman; Teresa Frohman; Peter A Calabresi; Shiv Saidha
Journal:  Eye Vis (Lond)       Date:  2018-11-02

6.  The inter-visit variability of retinal blood flow velocity measurements using retinal function imager (RFI).

Authors:  Yuqing Deng; Meng Li; Gengyuan Wang; Hong Jiang; Jianhua Wang; Jing Zhong; Saiqun Li; Jin Yuan
Journal:  Eye Vis (Lond)       Date:  2018-12-04

7.  The effect of sildenafil on retinal blood velocity in healthy subjects.

Authors:  Asaf Achiron; Idan Hecht; Chen Juza; Adiel Barak; Zvia Burgansky-Eliash
Journal:  Eye Vis (Lond)       Date:  2018-12-05

8.  Absolute retinal blood flowmeter using a laser Doppler velocimeter combined with adaptive optics.

Authors:  Frederic Truffer; Martial Geiser; Marc-Antoine Chappelet; Helene Strese; Gilbert Maître; Serge Amoos; Florent Aptel; Christophe Chiquet
Journal:  J Biomed Opt       Date:  2020-11       Impact factor: 3.170

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.