Ultime
notizie :: Testing Homeopathy
in Mouse Emotional Response Models:
Pooled Data Analysis of Two Series
of Studies
Paolo Bellavite,1
Anita Conforti,2 Marta Marzotto,1
Paolo Magnani,1 Mirko Cristofoletti,1
Debora Olioso,1 and Maria Elisabetta
Zanolin2
1Department of Pathology and Diagnostics,
University of Verona, 37134 Verona,
Italy
2Department of Public Health and Community
Medicine, University of Verona, 37134
Verona, Italy
Received 21 November 2011; Accepted
29 January 2012 Academic Editor: Carlo
Ventura
Copyright © 2012 Paolo Bellavite
et al. This is an open access article
distributed under the Creative Commons
Attribution License, which permits
unrestricted use, distribution, and
reproduction in any medium, provided
the original work is properly cited.
Evidence-Based Complementary and Alternative
Medicine
Volume 2012 (2012), Article ID 954374,
9 pages
doi:10.1155/2012/954374
Abstract
Two previous investigations were performed
to assess the activity of Gelsemium
sempervirens (Gelsemium s.) in mice,
using emotional response models. These
two series are pooled and analysed
here. Gelsemium s. in various homeopathic
centesimal dilutions/dynamizations
(4C, 5C, 7C, 9C, and 30C), a placebo
(solvent vehicle), and the reference
drugs diazepam (1?mg/kg body weight)
or buspirone (5?mg/kg body weight)
were delivered intraperitoneally to
groups of albino CD1 mice, and their
effects on animal behaviour were assessed
by the light-dark (LD) choice test
and the open-field (OF) exploration
test. Up to 14 separate replications
were carried out in fully blind and
randomised conditions. Pooled analysis
demonstrated highly significant effects
of Gelsemium s. 5C, 7C, and 30C on
the OF parameter “time spent
in central area” and of Gelsemium
s. 5C, 9C, and 30C on the LD parameters
“time spent in lit area”
and “number of light-dark transitions,”
without any sedative action or adverse
effects on locomotion. This pooled
data analysis confirms and reinforces
the evidence that Gelsemium s. regulates
emotional responses and behaviour
of laboratory mice in a nonlinear
fashion with dilution/dynamization.
1. Introduction
Gelsemium sempervirens (Loganiaceae)
is a twining vine containing the toxic
strychnine-related alkaloids gelsemine,
gelsemine, and sempervirine [1]. At
pharmacological doses, Gelsemium s.
has been reported to show sedative,
analgesic, and antiseizure properties
[2-5]. In homeopathic Materia
Medica, Gelsemium s. is described
as a remedy for a variety of anxiety-like
neurological and behavioural symptoms
[6-8], and there is a preliminary
report [9] that homeopathic dilutions/dynamizations
of Gelsemium s. in mice counter the
effects of the anxiogenic compound
RO 15-3505 (inverse agonist of benzodiazepines)
in the labyrinth test. More recently,
Bousta et al. have reported that,
in some but not all experimental conditions,
Gelsemium s. at the 5th, 9th, and
15th centesimal homeopathic dilutions/dynamizations
(C) reduces stress-induced behavioural
alterations of mice in the staircase
test and light-dark test [10]. However,
all these results represent reversals
of the effects of severe stress (conditioned
paradigm), and the findings vary widely
depending on the dose administered
and the test performed. There is therefore
scope for further studies exploring
the effects of Gelsemium s. in mouse
models of emotional response, using
rigorous methods.
Experimental investigations carried
out with highly diluted solutions
have suffered from problems of replicability
between different laboratories [11-13]
and even within the same laboratory
using different experimental protocols
[14]. To fill this gap, we performed
two separate series of investigations
[15, 16], using validated animal models,
namely, the light-dark choice test
(LD) and the open-field exploration
test (OF), in order to acquire various
behavioural parameters widely used
in neuropsychopharmacology for drug
screening [17]. In LD test, an increase
in the amount of time spent in the
lit compartment is an indicator of
decreased anxiety, and the number
of light-dark transitions has been
reported to be an indicator of activity
exploration over time. In OF, the
total distance travelled in the arena
reflects general exploratory activity,
which may be altered by locomotor
ability or motivational factors, and
is reduced in case of sedation, paralysis,
or impairment of movements, while
the time spent and the distance travelled
in centre reflect anxiolytic-like
activity.
In the first paper [15], we describe
the effects of Gelsemium s. 5C dilution/dynamization,
followed by some exploratory tests
using the 7C and 30C. In essence,
it showed that, in the OF test, Gelsemium
s. 5C, 7C, and 30C significantly increased
the time spent and the distance travelled
in the central zone. Neither dilution/dynamization
of Gelsemium s. affected the total
distance travelled, indicating that
the behavioural effect was not due
to unspecific changes in locomotor
activity. In the LD test, Gelsemium
s. 5C and also 30C showed a positive
effect in the same direction as diazepam
but did not reach the statistical
significance. In the light of these
partially positive results, we decided
to continue and intensify our study
and undertook a new experimental series
with 6 replications of a similar protocol
where a wider range of Gelsemium s.
dilutions/dynamizations (4C, 5C, 7C,
9C, 30C) was tested. Minor protocol
differences concerned the sequence
of testing, the housing of animals,
and the supplier of mice (see Methods).
A preliminary report of the results
of the second series appeared in a
review [18], and the complete study
was published in Psychopharmacology
[16]. Gelsemium s. 5C, 7C, 9C, and
30C showed stimulatory activity on
the time spent and distance travelled
in the central zone of the OF, but
this effect did not go beyond the
threshold of statistical significance
(??=0.060). On the other hand, with
the LD test parameters, in the second
series, the effect of Gelsemium s.
was much more evident and significant
(??<0.01 in the global ANOVA for
groups): the medicament at the 5C,
9C, and 30C dilutions/dynamizations
increased the time spent in the light
compartment (by 21.58%, 37.47%, and
21.85%, resp.) and the number of transitions
(by 24.66%, 40.01%, and 40.02%, resp.),
with high statistical significance.
These effects were in the same direction
as those of diazepam and buspirone,
tending to confirm an anxiolytic-like
activity. In summary, these two series
of studies yielded qualitatively similar
results, but with notable quantitative
variations. Others have recently raised
the issue of reproducibility of Gelsemium
s. effects [19]. Therefore, in order
to verify whether the effects on the
considered behavioural variables are
consistent, significant, and reproducible,
we present here a complete summary
of these investigations, with a new
analysis of pooled data.
2. Methods
2.1. Animals
All the experiments were performed
at the Faculty of Medicine, Verona
University, Italy, with some minor
modifications between the two series
of replications (Table 1). Male mice
4-5 weeks old of the CD1 strain were
purchased from Harlan Laboratories
(Udine, I) or Charles River Laboratories
(Lecco, I) and allowed to acclimate
for two weeks before testing, in a
controlled animal facility (temperature
22 ± 2°C, humidity 55%±5%).
The mice were randomly distributed,
4 per cage (size 349 × 156 ×
132?mm) or 2 per cage (size: 250 ×
140 × 120?mm) in plastic cages,
and housed with food and water available
ad libitum, except for during the
brief testing periods. Lights were
on between 7 AM and 7 PM.
Table 1: http://www.hindawi.com/journals/ecam/2012/954374/tab1/
Features of the two
series of experiments testing Gelsemium
s. on mouse behaviour.
In each replication, groups of mice
(?? = minimum 8, maximum 16) were
randomly assigned to separate cages
and treated with different solutions
as indicated. The arrangement of cages
in the laboratory rack and the order
in which mice were injected and tested
were evenly distributed for all cages
and experimental groups, to avoid
cage effects and other possible biases
linked to the timing of injections
and tests. Each animal was used only
once in the same test to avoid the
confounding effects of learning and
habituation. Each replication experiment
lasted about 4 weeks, including animal
habituation, drug delivery, testing,
and data collection and analysis.
2.2. Drugs and Treatments
The drugs were produced by Boiron
Laboratoires, Lyon (F), starting from
a crude hydroalcoholic extract of
fresh underground portions of Gelsemium
s., which was diluted 100 times in
30% ethanol/distilled water to obtain
the 1C dilution/dynamization. Subsequent
serial 100 × dilutions followed
by vigorous shaking (dynamization)
of up to 29C were then made in the
same solvent, using glass bottles.
The content of gelsemine—the
principal alkaloid of Gelsemium s.—in
the first hydroalcoholic extract was
0.021% (w/v), corresponding to a concentration
of 6.5×10-4?moles/L. The control
solution (vehicle) was the same batch
of 30% ethanol/distilled water solution
used to prepare the drug samples.
The solutions were stored in the dark
at room temperature in an aluminium
envelope. Before being used in each
replication experiment, 0.4-mL samples
of each solution (including the control
solution) were added to 39.6?mL of
distilled sterile and apyrogenic water
in a sterile 50-mL Falcon plastic
tube, closed with a plastic cap, and
manually shaken with 20 strong vertical
strokes to obtain the final drug samples
and control vehicle used for treatments,
with final ethanol concentration lowered
to 0.3% (v/v). Diazepam (Valium, Roche,
final dose of 1?mg/kg) or buspirone
(Sigma, final dose of 5?mg/kg) were
diluted in the final vehicle solution
(0.3% ethanol in distilled water).
Preliminary experiments, comparing
a 0.3% ethanol solution in distilled
water (final dose 0.03?g/kg) with
pure distilled water, showed that
this dose of diluted ethanol does
not affect behaviour of mice in any
of the test employed. In order to
blind the operators with respect to
the test solutions, all the samples
were then coded by an independent
person and the codes kept sealed inside
an envelope until all the tests and
calculations were completed. The solutions
were distributed in 15-mL sterile
Falcon plastic tubes (4?mL/tube),
wrapped in aluminium foil, and stored
at +4°C until the day of use.
Before being used, each tube was again
manually shaken with 20 strokes. All
the procedures were performed in sterile
conditions and using sterile disposable
plasticware.
The drug and control solutions were
administered in the morning for 9
consecutive days (including on the
last two days, when the behavioural
tests were carried out) by intraperitoneal
(i.p.) injection (0.3?mL) using disposable
1-mL (insulin) syringes. The diazepam-treated
group received the drug solution only
on the days of testing, in consideration
of the well-known development of tolerance
to benzodiazepines [20] and their
short half-life [21], and 0.3?mL of
control solvent solution (0.3% ethanol/distilled
water) for the first 7 days. The treatment
and testing procedures were independently
approved by the Animal Ethics Committee
of the Interdepartmental Centre for
Animal Research (CIRSAL) of Verona
University and by the Italian Health
Ministry. Aside from the treatment
injections and testing, the animals
were not subjected to pain or other
forms of emotional or physical stress.
2.3. Behavioural Tests
The OF behaviour test (Figure 1, above)
[22-24] involves placing an
animal in an unfamiliar environment
consisting of a 50 × 50?cm black-painted
wooden platform, with 25?cm high surrounding
walls, illuminated with white light
(100 lux). The OF arena is virtually
divided into two parts, with a square
central zone having an area corresponding
to 25% of the total area. The percentage
time spent in this central zone is
considered indicative of exploratory
behaviour and may reflect a decrease
in anxiety, although this OF parameter
is not sensitive to all anxiolytics
and may not model certain features
of anxiety disorders [24].
Figure 1: http://www.hindawi.com/journals/ecam/2012/954374/fig1/
Schematic representation of the arenas
of the OF (above) and LD (bottom)
tests. The hypothetical bifurcation
point of the trajectory choice is
indicated by an asterisk. (A) positive
effect of the drug (less anxiety,
less fear, more exploration attitude),
(B) negative effect of the drug.
The LD exploration test (Figure 1,
bottom) [25-27] is based on
the innate aversion of rodents to
brightly lit areas, and their spontaneous
exploratory behaviour in response
to mild stressors such as novel environments
and light. Mice tend to prefer dark,
enclosed spaces to large, well-lit
areas, and the amount of time spent
in the dark zone is sensitive to benzodiazepines
and to the agonists of serotoninergic
receptors, in a manner that correlates
well with clinical efficacy in humans
[28]. The test apparatus consists
of a small, secure dark compartment
(15 × 30?cm), and a large, aversive
illuminated compartment (30 ×
30?cm). The two compartments are separated
by a partition with an opening (4
× 4?cm) through which the animal
can pass from one compartment to the
other. The open arena is brightly
illuminated with 200 lux, and the
mice are left to explore the space
for a 5?min testing period. The score
for the transition was assigned, by
a person not aware of the treatment
assignment of the groups, from the
analysis of the video recordings,
when the animal came out of the dark
chamber with all 4 paws.
The animals were tested individually
in 4 separate devices, starting from
30?min after last drug (or placebo)
administration. In the first series
of replications [15], the treatments
were delivered before all test procedures,
and the assays performed in the following
order: LD on 8th day of solution administration,
OF on the following day (9th day of
solution administration). Since the
best results were obtained in the
OF (see results), in the second series
[16], the assays were performed in
the following order: OF on 8th day
of solution administration, and LD
on the following day (9th day of solution
administration). To match better the
timing of testing with that of drug
administration, in the second series
of replications, the drugs were delivered
row by row (8 cages of 2 mice in each
row of the housing rack), followed
by testing of the injected animals,
so that the test procedures were completed
80-90?min after the last treatment.
Immediately before testing, the animals
were allowed to acclimate to the room
inside their cages for three minutes,
after being brought there from their
customary housing area. The operators
stayed outside the testing room during
the recording of the experimental
sessions. In very few cases, a mouse
was lost because it jumped out of
the test arena during the test, and
those cases were excluded from the
calculations. The test arenas were
cleaned thoroughly with water and
soft disposable paper between trials
and with water and detergent between
experiments.
2.4. Image Analysis System
A video-tracking camera and software
program (“Smart” VTS system
from PanLab, Barcelona, E) were used
to record the sessions automatically.
Essentially, this system consists
of a video-camera (GZ-MG135, JVC,
Japan) mounted on the ceiling 2.5?m
above the centre of the experimental
field, a video interface, and a computer.
The camera views 4 test arenas, each
of which is in turn divided by the
software into two zones, depending
on the test to be performed (LD or
OF). All the sessions are recorded
and stored on DVDs. The acquired video
signals are converted by the image
processor into binary images in which
the animal appears as a black spot
against a white background. The movements
of the spot are recorded to track
the animals’ position, the amount
of time spent in different zones,
and the distance travelled.
2.5. Statistics
Up to 14 replications from two series
of studies were performed and analysed:
8 replications of the same protocol
in the first series [15], and 6 replications
in the second series [16]. Analyses
were performed using the Stata12 software
(http://www.stata.com) and the SPSS
17 software (http://www.spss.com).
The effect of the drugs on each mouse
was calculated as a percentage relative
to the mean values for the controls
(vehicle-treated) in each replication
of the series, taken as zero effect,
according to the formula:??Testvalueofeachmouse??meantestvalueofcontrolmice-1×100.(1)
This standardisation allowed the effects
observed in all the experiments to
be compared and statistically evaluated.
All data are represented as mean ±
SEM (standard error of the mean) values.
The pooled data were normally distributed.
Nested ANOVA was used to find any
differences in the studied parameters
(time spent and distance travelled
in the centre of OF, total distance
travelled in OF, time spent in the
lit area of LD box, number of dark-light
transitions) according to type of
treatment and controlling for experimental
series, and replications (with replications
nested in experimental series). When
global ANOVA was significant and there
was no interaction between groups
and series, the data of the two series
were pooled and specific comparisons
were assessed to determine differences
between groups. Post hoc ??-tests
were performed assuming equal variances
with least significant difference
corrections to adjust for multiple
comparisons (protected LSD), as suggested
by a consensus report [29] for basic
research in high dilution/dynamization
pharmacology. Pearson correlation
coefficient (??) was used to analyse
the association between different
behavioural variables in the control
groups.
3. Results
3.1. Open Field
The results of pooling all the tests
performed with OF test is reported
in Table 2. An interaction between
series and groups emerged only for
the variable “distance in centre”
in OF that was therefore excluded
from subsequent analysis.
Table 2: http://www.hindawi.com/journals/ecam/2012/954374/tab2/
Cumulative results of open-field test
(14 replications in two experimental
series§).
In the variable “time spent
in centre,” a difference that
did not reach statistical significance
was noted in global ANOVA for series.
However, there was no interaction
between series and groups, indicating
that the drug effects were in the
same direction in all groups, albeit
with quantitative differences.
There were highly significant differences
between groups. All Gelsemium s. samples
except for 4C showed a stimulatory
activity as compared with control
solvent, with a statistically significant
difference for the 5C, 7C, and 30C
dilutions/dynamizations. Equally apparent
is the lack of effect of the two standard
drugs diazepam and buspirone on these
parameters, suggesting that this model
system in these experimental conditions
was not suitable for detecting a conventional
anxiolytic effect and hence that the
effect of Gelsemium s. on mouse behaviour
in the OF is qualitatively different
from that of standard drugs (see also
Discussion).
During the OF test, the total distance
travelled by the mice in the arena
was also analysed (Table 2). Considering
the entire series of replications,
no significant differences were found
between various groups, although a
small inhibitory effect was found
in buspirone-treated versus solvent-treated
animals (-9.19%), suggesting a possible
sedative effect instead of anxiolytic-like
effect. This phenomenon was not present
with diazepam and Gelsemium s., suggesting
that these drugs did not affect the
unspecific locomotor activity of the
mice and the observed differences
in time spent in the central zone
were due to genuine changes of anxiety
levels.
3.2. LD Test
As shown in Table 3, the time spent
in the open, illuminated (white) compartment
of the LD test arena increased in
all the Gelsemium s.-treated groups
and in the groups treated with diazepam
and buspirone. Considering the whole
of this large population of animals,
the effects of Gelsemium s. C5, C9,
and C30 proved highly statistically
significant in post hoc analysis,
with a peak at 9C dilution/dynamization.
Similar results were obtained by measuring
the number of transitions between
compartments, with the difference,
as compared with the permanence time,
that here only the effects of 9C and
30C dilutions/dynamizations proved
to be statistically significant. Moreover,
in this test, parameter buspirone
was less effective as positive control.
Since this parameter is likewise linked
to physical motility, this may be
due to the slight inhibitory effect
of buspirone on unspecific locomotion
already noted in OF. In LD responses,
there were no significant differences
in the effects in the two series.
Table 3: http://www.hindawi.com/journals/ecam/2012/954374/tab3/
Cumulative results of light-dark test
(14 replications in two experimental
series§).
3.3. Differences between Behavioural
Parameters
The effects of Gelsemium s. displayed
marked nonlinearity with dilution/dynamization
and were different in the OF and LD
assessments. In the OF, the 4C was
inactive and showed significantly
lower effects than the 5C, 7C, and
30C. In the LD, the activity of the
7C dilution/dynamization was very
low, while peak activation was noted
using the 9C. In the OF test, there
was a significant effect of Gelsemium
s. (peak 7C) but not of the conventional
drugs, while, in the LD test, both
Gelsemium s. (peak 9C) and the conventional
drugs showed significant effects.
These discrepancies strongly suggest
that the two test paradigms explore
different behavioural symptoms which
respond differently to conventional
and homeopathic drugs. This conclusion
is supported by the finding illustrated
in Figure 2. Utilising all the data
points for untreated control mice,
we observe a clear relation between
the two OF parameters (time spent
and distance travelled in the centre),
indicating that both reflect a decision
of whether to stay in the peripheral
area (thigmotaxis) or to explore the
central area. On the other hand, the
time spent in the centre of the OF
does not correlate with the time spent
in the lit area of the LD, suggesting
that these two parameters reflect
different physiological features and
behavioural parameters, and this may
be the reason for the differing sensitivity
to the treatments.
Figure 2: http://www.hindawi.com/journals/ecam/2012/954374/fig2/
Correlations (Pearson’s ??)
between different behavioural variables
explored by the OF and LD tests. The
data points for mice from the control
groups of all replications were utilised.
4. Discussion
Natural remedies are frequently used
by people suffering from anxiety disorders,
but evidence of their benefits in
randomised controlled studies [30,
31] and laboratory research [18] is
limited. Due to the controversial
nature of homeopathic claims, it is
important for any results in this
field to be confirmed and consolidated
through further investigations and
rigorous statistical evaluation. Two
previous investigations [15, 16] suggested
that Gelsemium s. reduced anxiety
and fear and increased exploratory
behaviour in the laboratory mouse,
without provoking any sedation side-effects.
However, in the first series, the
major and most significant effect
was noted in OF parameters [15], while,
in the second one, the LD test yielded
the best results [16]. Since reproducibility,
the degree of accordance between the
results of experiments testing the
same hypothesis, is a fundamental
requisite for acceptance of any evidence,
we performed a new analysis to evaluate
statistically the differences between
the two series and the global significance
of the results.
In all parameters considered but one
(distance travelled in centre in OF),
there were no significant differences
between the two experimental series
nor interaction between series and
experimental groups. This indicates
that the trends of the drug effects
were qualitatively in the same direction,
despite a noteworthy quantitative
variability. The pooled data analysis
confirms and reinforces the evidence
that statistically high significant
Gelsemium s. effects can be detected
in the laboratory mouse using both
the OF and LD paradigms, even with
the high dilutions/dynamizations employed
in the homeopathic pharmacopoeia (9C
and 30C). This laboratory evidence,
based on blinded protocols and using
groups of large sample size, strongly
supports the conclusion that homeopathic
medicaments are not mere placebos
and are endowed with specific pharmacological
activity.
The ability of extremely diluted drugs
to change these emotional responses
of mice can be ascribed to the high
sensitivity of the tests involved,
which are designed to put the animal
in a situation of uncertainty (“bifurcation
point,” indicated by an asterisk
in Figure 1), where an extremely slight
influence can determine the choice
of which direction to move in (A or
B in figure). The sensitivity of these
tests to minimal factors is also,
conceivably, one reason for the high
variability of responses in the two
series of experiments, observed in
both vehicle-treated and drug-treated
animals. It has been noted that the
extent to which an anxiolytic compound
facilitates exploratory activity depends
on its baseline level in the control
group [25]. Bousta et al. [10] report
some anxiolytic-like effects of G.
sempervirens in mice stressed by repeated
electric shocks, but no such effects
in normal unstressed mice. Differences
between the nature and severity of
external stressors, or between experimental
setups, environment, handling and
testing, and individual biological
responses to drugs, might account
for the high variability of results
reported under different experimental
conditions [24, 32, 33]. Variable
behavioural baseline levels have been
reported by others [17, 34], and it
has been found that two groups having
low and high “trait” anxiety
and different neuroendocrine responses
to stress can be selected from the
same mouse population [35], indicating
that expression of trait anxiety displays
a high interindividual variability
in inbred mice.
In the OF model, Gelsemium s.-treated
mice were unaffected in their general
movement and locomotion in the field
but showed a higher tendency to enter
the central zone, instead of running
along the walls or staying in the
corners. This behaviour is thought
to reflect changes in the emotional
state of the mouse, even though in
our experimental conditions, the OF
parameters do not measure “anxiety”
but rather exploratory propensity,
thigmotaxis, and neophobia. This conclusion
is based on the fact that neither
buspirone nor diazepam altered those
parameters. The differences between
the effects of Gelsemium s. and those
of the conventional anxiolytic drugs
diazepam and buspirone suggest that
the former has a broader action on
animal behaviour, possibly including
the stimulation of exploratory behaviour
in the OF. The LD, on the other hand,
proved to be a very valid test for
anxiety, given that it always showed
some effect with the two conventional
anxiolytics, as well as with Gelsemium
s.
Anxiety, neophobia, fear, and thigmotaxis
are rather complex phenomena. There
are two types of anxiety, “state”
anxiety (excess anxiety experienced
by a subject at a particular time
in presence of a stimulus) and “trait”
anxiety (does not vary from moment
to moment) [36]. It has been suggested
that the light-dark test and elevated
plus-maze device are the most appropriate
models for assessing state anxiety,
while the free-exploratory paradigm
can be used for “trait anxiety”
[33, 37]. It has also been reported
that anxiolytic treatments do not
by themselves increase exploration
in the central zone of the OF, but
they do decrease the stress-induced
inhibition of exploratory behaviour
[17]. Benzodiazepines have been found
to be inactive in some models or even
to produce paradoxical anxiogenic
effects [38]. That OF is less sensitive
to benzodiazepines, and buspirone
as compared with other behavioural
tests, (e.g., elevated plus-maze)
has been shown also by others [39],
and a decrease of locomotion caused
by buspirone at low (1?mg/kg) and
high (10?mg/kg) doses has been observed
in rats [40]. Further studies with
additional tests of anxiety are needed
to confirm this intriguing relationship.
These findings strongly suggest that
the LD and OF tests explore different
emotional responses, with different
sensitivities to drugs and neurological
mechanisms. Our data showing lack
of correlation between responses with
two test used (Figure 2) seem in agreement
with this conclusion. In this connection,
it is also worth noting that the peak
of Gelsemium s. activity in the LD
test was observed with the 9C dilution
dynamization, while, in the OF, it
occurred with the 7C. This may suggest
that the different behavioural “symptoms”
exploited by these two test paradigms
are sensitive to different dilutions/dynamizations
of the remedy.
A possible action mechanism of Gelsemium
s. at neurological level has been
indicated by others, showing that,
in rat brain slices, very low doses
[41] and high dilutions/dynamizations
(5C, 9C) of this compound [42] enhance
the production of the neurosteroid
allopregnanolone (5a,3a-tetrahydroprogesterone),
a stimulator of GABAa receptors and
of inhibitory signalling in the central
nervous system. These authors [41]
showed that this activity was stimulated
by glycine and blocked by strychnine,
well known as a glycine receptor (Gly-R)
antagonist, suggesting that gelsemium
effects are antagonistic to those
of strychnine and mediated by Gly-R
receptors.
Gelsemium s. is frequently used in
homeopathy to treat patients exhibiting
neurological anxiety-like symptoms
such as “general prostration,
trembling, tired feeling, mental apathy,
muscular weakness, complete relaxation
and prostration, lack of muscular
co-ordination, general depression,
emotional excitement, bad effects
from fright, fear, exciting news”
according to the Materia Medica [6-8].
The fact that the traditional indications
for the remedy are consistent with
significant laboratory findings using
rigorous experimental models helps
bridge a gap between two medical disciplines
generally considered to be at variance
with each other, but which should
instead be regarded as complementary
and compatible. Of course, further
scientific evidence of possible clinical
benefits of homeopathy in humans is
needed.
Conflict of Interests
The authors declare that there is
no conflict of interests.
Acknowledgments
This work was supported by grants
from Laboratoires Boiron s.r.l. (Milano,
I) to Verona University and from the
Ministry of University and Scientific
Research.
References
1. Y. Schun and G.
A. Cordell, “Cytotoxic steroids
of Gelsemium sempervirens,”
Journal of Natural Products, vol.
50, no. 2, pp. 195-198, 1987.
View at Scopus
2. J. Valnet, Phytothérapie,
Maloine, Paris, France, 1992.
3. O. Peredery and M. A. Persinger,
“Herbal treatment following
post-seizure induction in rat by lithium
pilocarpine: scutellaria lateriflora
(Skullcap), Gelsemium sempervirens
(Gelsemium) and Datura stramonium
(Jimson Weed) may prevent development
of spontaneous seizures,” Phytotherapy
Research, vol. 18, no. 9, pp. 700-705,
2004. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
4. V. Dutt, V. J. Dhar, and A. Sharma,
“Antianxiety activity of Gelsemium
sempervirens,” Pharmaceutical
Biology, vol. 48, no. 10, pp. 1091-1096,
2010. View at Publisher • View
at Google Scholar • View at
Scopus
5. K. Gahlot, M. Abid, and A. Sharma,
“Pharmacological Evaluation
of Gelsemium sempervirens roots for
CNS Depressant Activity,” International
Journal of PharmTech Research, vol.
3, no. 2, pp. 693-697, 2011.
6. W. Boericke, Materia Medica with
Repertory, Boericke & Tafel, Pennsylvania,
Pa, USA, 1927.
7. J. Barbancey, Pratique Homéopathique
en Psycho-Pathologie, Tome II, Similia,
Paris, France, 1987.
8. M. Guermonprez, Homéopathie,
Principles—Clinique—Techniques,
C.E.D.H., Paris, France, 2006.
9. J. Guillemain, A. Rousseau, P.
Dorfman, and M. Tetau, “Recherche
en psychopharmacologie,” Cahiers
de Biothérapie, vol. 103, pp.
53-66, 1989.
10. D. Bousta, R. Soulimani, I. Jarmouni,
et al., “Neurotropic, immunological
and gastric effects of low doses of
Atropa belladonna L., Gelsemium sempervirens
L. and Poumon histamine in stressed
mice,” Journal of Ethnopharmacology,
vol. 74, no. 3, pp. 205-215,
2001. View at Publisher • View
at Google Scholar • View at
Scopus
11. P. Bellavite, A. Conforti, F.
Pontarollo, and R. Ortolani, “Immunology
and homeopathy. 2. Cells of the immune
system and inflammation,” Evidence-Based
Complementary and Alternative Medicine,
vol. 3, no. 1, pp. 13-24, 2006.
View at Publisher • View at
Google Scholar • View at PubMed
• View at Scopus
12. P. Bellavite, A. Conforti, and
R. Ortolani, “Immunology and
homeopathy. 3. Experimental studies
on animal models,” Evidence-Based
Complementary and Alternative Medicine,
vol. 3, no. 2, pp. 171-186,
2006. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
13. C. M. Witt, M. Bluth, H. Albrecht,
T. E. R. Weisshuhn, S. Baumgartner,
and S. N. Willich, “The in vitro
evidence for an effect of high homeopathic
potencies—a systematic review
of the literature,” Complementary
Therapies in Medicine, vol. 15, no.
2, pp. 128-138, 2007. View at
Publisher • View at Google Scholar
• View at PubMed • View
at Scopus
14. A. Conforti, P. Bellavite, S.
Bertani, F. Chiarotti, F. Menniti-Ippolito,
and R. Raschetti, “Rat models
of acute inflammation: a randomized
controlled study on the effects of
homeopathic remedies,” BMC Complementary
and Alternative Medicine, vol. 7,
article 1, 2007. View at Publisher
• View at Google Scholar •
View at PubMed • View at Scopus
15. P. Bellavite, P. Magnani, M. E.
Zanolin, and A. Conforti, “Homeopathic
doses of Gelsemium sempervirens improve
the behavior of mice in response to
novel environments,” Evidence-Based
Complementary and Alternative Medicine,
vol. 2011, Article ID 362517, 10 pages,
2011. View at Publisher • View
at Google Scholar • View at
PubMed
16. P. Magnani, A. Conforti, E. Zanolin,
M. Marzotto, and P. Bellavite, “Dose-effect
study of Gelsemium sempervirens in
high dilutions on anxiety-related
responses in mice,” Psychopharmacology,
vol. 210, no. 4, pp. 533-545,
2010. View at Publisher • View
at Google Scholar • View at
Scopus
17. M. Bourin, B. Petit-Demoulière,
B. Nic Dhonnchadha, and M. Hascöet,
“Animal models of anxiety in
mice,” Fundamental and Clinical
Pharmacology, vol. 21, no. 6, pp.
567-574, 2007. View at Publisher
• View at Google Scholar •
View at PubMed
18. P. Bellavite, P. Magnani, M. Marzotto,
and A. Conforti, “Assays of
homeopathic remedies in rodent behavioural
and psychopathological models,”
Homeopathy, vol. 98, no. 4, pp. 208-227,
2009. View at Publisher • View
at Google Scholar • View at
Scopus
19. L. Cervo and V. Torri, “Comment
on: “Dose-effect study of Gelsemium
sempervirens in high dilutions on
anxiety-related responses in mice”
(Magnani P, Conforti A, Zanolin E,
Marzotto M and Bellavite P, Psychopharmacology,
2010),” Psychopharmacology,
vol. 220, no. 2, pp. 439-440,
2011. View at Publisher • View
at Google Scholar
20. J. M. Fahey, G. A. Pritchard,
J. M. Grassi, J. S. Pratt, R. I. Shader,
and D. J. Greenblatt, “Pharmacodynamic
and receptor binding changes during
chronic lorazepam administration,”
Pharmacology Biochemistry and Behavior,
vol. 69, no. 1-2, pp. 1-8, 2001.
View at Publisher • View at
Google Scholar
21. A. Ennaceur, S. Michalikova, R.
Van Rensburg, and P. L. Chazot, “Tolerance,
sensitization and dependence to diazepam
in Balb/c mice exposed to a novel
open space anxiety test,” Behavioural
Brain Research, vol. 209, no. 1, pp.
154-164, 2010. View at Publisher
• View at Google Scholar •
View at Scopus
22. R. N. Walsh and R. A. Cummins,
“The Open-Field Test: a critical
review,” Psychological Bulletin,
vol. 83, no. 3, pp. 482-504,
1976. View at Publisher • View
at Google Scholar • View at
Scopus
23. P. Simon, R. Dupuis, and J. Costentin,
“Thigmotaxis as an index of
anxiety in mice. Influence of dopaminergic
transmissions,” Behavioural
Brain Research, vol. 61, no. 1, pp.
59-64, 1994. View at Publisher
• View at Google Scholar •
View at Scopus
24. L. Prut and C. Belzung, “The
open field as a paradigm to measure
the effects of drugs on anxiety-like
behaviors: a review,” European
Journal of Pharmacology, vol. 463,
no. 1-3, pp. 3-33, 2003.
View at Publisher • View at
Google Scholar • View at Scopus
25. M. Hascoet, M. Bourin, and B.
A. Nic Dhonnchadha, “The mouse
light-dark paradigm: a review,”
Progress in Neuro-Psychopharmacology
and Biological Psychiatry, vol. 25,
no. 1, pp. 141-166, 2001. View
at Publisher • View at Google
Scholar • View at Scopus
26. M. Bourin and M. Hascoët,
“The mouse light/dark box test,”
European Journal of Pharmacology,
vol. 463, no. 1-3, pp. 55-65,
2003. View at Publisher • View
at Google Scholar
27. S. W. Chen, L. Min, W. J. Li,
W. X. Kong, J. F. Li, and Y. J. Zhang,
“The effects of angelica essential
oil in three murine tests of anxiety,”
Pharmacology Biochemistry and Behavior,
vol. 79, no. 2, pp. 377-382,
2004. View at Publisher • View
at Google Scholar • View at
PubMed
28. R. Young and D. N. Johnson, “A
fully automated light/dark apparatus
useful for comparing anxiolytic agents,”
Pharmacology Biochemistry and Behavior,
vol. 40, no. 4, pp. 739-743,
1991. View at Publisher • View
at Google Scholar
29. B. Stock-Schroer, H. Albrecht,
L. Betti, et al., “Reporting
Experiments in Homeopathic Basic Research—Description
of the Checklist Development,”
Evidence-Based Complementary and Alternative
Medicine, vol. 2011, Article ID 639260,
7 pages, 2011. View at Publisher •
View at Google Scholar • View
at PubMed
30. K. Pilkington, G. Kirkwood, H.
Rampes, P. Fisher, and J. Richardson,
“Homeopathy for anxiety and
anxiety disorders: a systematic review
of the research,” Homeopathy,
vol. 95, no. 3, pp. 151-162,
2006. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
31. A. Paris, S. Schmidlin, S. Mouret,
et al., “Effect of Gelsemium
5CH and 15CH on anticipatory anxiety:
a phase III, single- 3 centre, randomized,
placebo-controlled study,” Fundamental
and Clinical Pharmacology. In press.
View at Publisher • View at
Google Scholar
32. Y. S. Mineur, C. Belzung, and
W. E. Crusio, “Effects of unpredictable
chronic mild stress on anxiety and
depression-like behavior in mice,”
Behavioural Brain Research, vol. 175,
no. 1, pp. 43-50, 2006. View
at Publisher • View at Google
Scholar • View at PubMed •
View at Scopus
33. C. Belzung and G. Griebel, “Measuring
normal and pathological anxiety-like
behaviour in mice: a review,”
Behavioural Brain Research, vol. 125,
no. 1-2, pp. 141-149, 2001.
View at Publisher • View at
Google Scholar • View at Scopus
34. H. Rammal, J. Bouayed, C. Younos,
and R. Soulimani, “The impact
of high anxiety level on the oxidative
status of mouse peripheral blood lymphocytes,
granulocytes and monocytes,”
European Journal of Pharmacology,
vol. 589, no. 1-3, pp. 173-175,
2008. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
35. M. Jakovcevski, M. Schachner,
and F. Morellini, “Individual
variability in the stress response
of C57BL/6J male mice correlates with
trait anxiety,” Genes, Brain
and Behavior, vol. 7, no. 2, pp. 235-243,
2008. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
36. S. H. Pinheiro, H. Zangrossi Jr.,
C. M. Del-Ben, and F. G. Graeff, “Elevated
mazes as animal models of anxiety:
effects of serotonergic agents,”
Anais da Academia Brasileira de Ciencias,
vol. 79, no. 1, pp. 71-85, 2007.
View at Scopus
37. Y. Clément, C. Joubert,
C. Kopp, et al., “Anxiety in
mice: a principal component analysis
study,” Neural Plasticity, vol.
2007, Article ID 35457, 8 pages, 2007.
View at Publisher • View at
Google Scholar • View at PubMed
• View at Scopus
38. A. Ennaceur, S. Michalikova, R.
Van Rensburg, and P. L. Chazot, “Are
benzodiazepines really anxiolytic?
Evidence from a 3D maze spatial navigation
task,” Behavioural Brain Research,
vol. 188, no. 1, pp. 136-153,
2008. View at Publisher • View
at Google Scholar • View at
PubMed • View at Scopus
39. R. Lalonde and C. Strazielle,
“Relations between open-field,
elevated plus-maze, and emergence
tests in C57BL/6J and BALB/c mice
injected with GABA- and 5HT-anxiolytic
agents,” Fundamental and Clinical
Pharmacology, vol. 24, no. 3, pp.
365-376, 2010. View at Publisher
• View at Google Scholar •
View at Scopus
40. E. Shireen and D. J. Haleem, “Motor
effects of buspirone: relationship
with dopamine and serotonin in the
striatum,” Journal of the College
of Physicians and Surgeons Pakistan,
vol. 15, no. 12, pp. 753-756,
2005. View at Scopus
41. C. Venard, N. Boujedaini, P. Belon,
A. G. Mensah-Nyagan, and C. Patte-Mensah,
“Regulation of neurosteroid
allopregnanolone biosynthesis in the
rat spinal cord by glycine and the
alkaloidal analogs strychnine and
gelsemine,” Neuroscience, vol.
153, no. 1, pp. 154-161, 2008.
View at Publisher • View at
Google Scholar • View at PubMed
• View at Scopus
42. C. Venard, N. Boujedaini, A. G.
Mensah-Nyagan, and C. Patte-Mensah,
“Comparative Analysis of Gelsemine
and Gelsemium sempervirens activity
on neurosteroid allopregnanolone formation
in the spinal cord and limbic system,”
Evidence-based Complementary and Alternative
Medicine, vol. 2011, Article ID 407617,
10 pages, 2011. View at Publisher
• View at Google Scholar •
View at PubMed
[torna inizio pagina] |