Anne Tonson1, Amira Trabelsi 1, Monique Bernard1, and Frank Kober1
1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France
Synopsis
We have monitored
myocardial perfusion (MBF) dynamically under pharmacologically-induced stress
in mice using a time-optimized cine-ASL MRI approach with about 2.5min temporal
resolution. One main advantage of the repeatable cine-ASL in this context is to
monitor MBF during successive stress episodes in the same animal allowing for
internal control. In this study we clearly demonstrated that single bolus nicotine
administration (1mg·kg-1) significantly reduced perfusion by 35%
under adenosine stress (tail vein continuous infusion, 90µg·kg-1·min-1) in healthy mice.
INTRODUCTION
Although it is
generally accepted that replacement nicotine therapies and smokeless tobacco
consumption (that can include electronic cigarettes) are less detrimental
compared to smoking in the general population, the negative health effects of
nicotine alone remain controversial1-3. We aimed at
investigating the acute effect of nicotine on myocardial blood flow (MBF) under
stress conditions in vivo using
arterial spin labeling (ASL). The cine-ASL method4 was optimized for
temporal resolution to enable dynamic quantification of myocardial perfusion
throughout an adenosine stress protocol in mice.
METHODS
MBF was quantified
dynamically in 7 mice (C57BL6; 24.4±6.4g; 4 Females) at rest and under
adenosine stress with or without nicotine on a 7T Pharmascan (Bruker) using a 1H
4-channel Bruker CryoProbe receive array.
Mice were anesthetized
with 1.5% isoflurane mixed in 100% O2 (1L·min-1).
MBF maps were acquired
using cine-ASL4 in short-axis view. Acquisition time was reduced
using two-fold GRAPPA acceleration and segmented acquisition resulting in a
temporal resolution of approximately 2.5min depending on heart (HR) and
breathing rate (BR).
Three stress tests
were performed consecutively under (i) control condition, and (ii) with
nicotine or (iii) saline solution injected in addition. Myocardial stress was obtained
by adenosine infusion (90µg·kg-1·min-1) via an
intravenous tail catheter. Nicotine (1mg·kg-1) or saline solution
was added via intraperitoneal bolus injection 1) concomitantly with adenosine
stress induction and 2) at maximal vasodilation. The effect of the injection
alone was evaluated during a third stress episode replacing nicotine with
saline solution. Complete MBF recovery was ensured between two consecutive
stresses (Figure1). The
effect of nicotine injection on resting perfusion was evaluated separately on 3
mice.
Left
ventricular (LV) function under each condition was approximated by measuring
the diastolic and systolic LV areas on long-axis views.
MBF was
quantified at end-diastole in the anterior LV using home-made IDL software4. For each condition, baseline and
maximal perfusion values were determined as the average of the 3 measurements
preceding the onset and end of adenosine infusion, respectively.
Repeated-measures ANOVA
was performed to detect differences between conditions.
RESULTS
MBF at baseline and maximal vasodilation were not significantly different across conditions.
Perfusion reserve calculated in control (2.63±0.57) and saline (2.30±0.58)
conditions were not significantly different (Table1). Following nicotine
injection under maximal vasodilatation, the reserve decreased to 1.46±0.47,
whereas baseline MBF changes due to nicotine administered at rest were not
significant.
MBF response to
adenosine stress was significantly reduced in presence of nicotine: 1) When
concomitantly injected with stress induction, nicotine prevented rapid MBF
onset. In presence of nicotine, the time to reach 85% of maximum MBF under
adenosine stress was doubled compared to control condition and following saline
injection (Table 1). 2) Under maximal
vasodilatation state, nicotine injection resulted in a 34.8±6.8% MBF decrease
lasting for 11.7±1.3min.
During nicotine
injection, an initial
short transient (<40s) BR increase (+35.5±6.9rpm)
and HR drop (-100±43bpm compared to the pre-injection value). As opposed to BR,
HR recovered to a lower value compared to control condition but was not
different under saline condition (Table1). Such changes were not observed during control
saline injection.
The estimated LV volumes
were not significantly different across conditions.DISCUSSION
One clear advantage of the repeatable
cine-ASL technique for this study was the ability to monitor MBF during 3
stress episodes in a single animal providing a “control stress” situation for
internal comparison.
On average,
adenosine infusion took 5min to provoke maximum vasodilation and to return to
baseline MBF after arrest of infusion. These times are much shorter than those previously
observed in rats (~10min)5
and likely due to the higher blood turnover in mice compared with rats.
The
reduction of MBF after nicotine injection under stress disappeared gradually within
12min, which is in line with the rapid blood elimination of this drug in mice (half-life~6min)6.
This finding is corroborated by the prolonged time to reach maximum stress when
adenosine infusion was started simultaneously with the nicotine injection
(12 vs 5min).
These findings,
in agreement with previous reports of coronary impaired endothelial-dependent
vasodilation in humans3 and large animals7,8, demonstrate
that nicotine diminished the vasodilatory response to pharmacological stress in
healthy myocardium, potentially exposing the myocardium to increased ischemic
risk in situations of increased metabolic demand, such as exercise or
pathological conditions. In that regard, nicotine has been shown to worsen
myocardial dysfunction in regionally “stunned,” ischemic myocardium in dogs9.CONCLUSION
We used a
sequential MRI perfusion mapping protocol and demonstrated in vivo that nicotine diminished perfusion reserve under adenosine
infusion by 37%. Further studies should investigate continuous infusion of
nicotine to investigate whether a dose-dependence exists and to establish more
detailed functional consequences on overall cardiac function and associated
risk factors.Acknowledgements
We acknowledge funding from: Agence Nationale de la Recherche grant ANR-14-CE17-0016 COFLORES; Fondation de la Recherche Médicale grant FRM DBS20140930772 and France Life Imaging grant ANR-11-INBS-0006.References
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