ArticlePDF Available

Digital biology: Specificity of the digitized molecular signal

Authors:

Figures

Content may be subject to copyright.
CHAPTER 17
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL,
A PUZZLING PHENOMENON: THE CRITICAL
CONTRIBUTION OF JACQUES BENVENISTE
YOLÈNE THOMAS, LARBI KAHHAK AND JAMAL AISSA
Laboratoire de Biologie Numérique, 32 rue des Carnets, Clamart 92140, France
Abstract: Making a brief history of what is named the ‘Memory of Water’ is obviously not an easy
task. Trying to be as fair and accurate as possible is hampered by two main difficulties:
1) one of the main actors, Jacques Benveniste, recently passed away and 2) cutting edge
science creates many controversies, especially with those whose lifetimes have been spent
pursuing an unorthodox track. High dilution experiments and memory water theory may
be related, and may provide an explanation for the observed phenomena. As Michel
Schiff said: ‘the case of the memory of water may or not contribute to the knowledge
about water structure. Perhaps the tentative interpretation Jacques suggested will finally
have to be modified or even abandoned. Time and further research will tell, provided that
one gives the phenomena a chance (Schiff, 1995, p 45)’
Keywords: human neutrophil; guinea pig heart; coagulation; water; audio-frequency oscillator;
computer-recorded signals
Abbreviations: EMF: electromagnetic field; PMA: phorbol-myristate-acetate; ROM: reactive oxygen
metabolites; ACh: acetylcholine; H: histamine; DTI: Direct Thrombin Inhibitor; d-X:
digital EMF signal from the molecule
1. INTRODUCTION: THE EARLY HISTORY OF HIGH
DILUTIONS EXPERIMENTS / HISTORICAL CONTEXT
Jacques Benveniste gained an international reputation as a specialist on the
mechanisms of allergies and inflammation with the ‘Platelet Activating Factor’
(paf-acether) discovery in 1972 (Benveniste et al., 1972, 1974). Benveniste’s
present address: Institut Andre Lwoff IFR89, 7, rue Guy Moquet-BP8, 94 801 Villejuif Cedex, France.
email: yolene@noos.fr
325
G. Pollack et al. (eds.), Water and the Cell, 325–340.
© 2006 Springer.
326 CHAPTER 17
research into allergy has taken him deep into the mechanisms which create such
responses. Understanding that the smallest amount of a substance affects the
organism - ‘A person can enter a room two days after a cat has left it and still suffer
an allergic response’ – led Benveniste in the mid-eighties, to research how homeo-
pathic dilutions appear to have a real and material effect upon immune system
cells called basophils. After 5 years of research he and his collaborators empir-
ically observed that highly dilute (i.e., in the absence of any physical molecule)
biological agents triggered relevant biological systems. It is worth recalling that at
that time, two papers were submitted and published in peer review journals, the
European Journal of Pharmacology and the British Journal of Clinical Pharma-
cology (Davenas et al., 1987; Poitevin et al., 1988). Here, the work was treated
as conventional research like many other manuscripts from peer-reviewed journals
which can be found in the scientific literature on the effect of high dilutions
(Schiff, 1995, p 150; Elia et al., 2004).
In 1988, Benveniste’s laboratory (I.N.S.E.R.M U 200) and three external labora-
tories announced that their research showed that highly diluted antibodies could
cause the degranulation of basophils and that water has a memory. Briefly, the
experimental dilution (anti-IgE) and the control one (anti-IgG) has been prepared in
exactly the same manner, with the same number of dilution and agitation sequences.
They co-authored an article, which was submitted to Nature (Davenas et al.,
1988). Nature’s referees could not find any fault in Benveniste’s research. It was
G. Preparata. and E. Del Guidice (quantum physicists working at Milan University)
at a conference organized a few months before the Nature ‘affair’ erupted, who
brought the theoretical basis for what is known as ‘the memory of water’. They
have hypothesized that interactions between the electric dipoles of water and the
radiation fields of a charged molecule generate a permanent polarization of water
which becomes coherent and has the ability to transmit specific information to
cell receptors, somewhat like a laser (Del Giudice et al., 1988). Two weeks after
publication, the three-man fraud squad (John Maddox, James Randi and Walter
Stewart) sent by Nature spent 5 days in the laboratory. The investigation concluded
that Benveniste had failed to replicate his original study (Maddox et al., 1988).
This marked the beginning of the ‘Water Memory’ saga, which placed him in a
realm of ‘scientific heresy’. As Michel Schiff remarked: ‘INSERM scientists had
performed 200 experiments (including some fifty blind experiments) before being
challenged by the fraud squad. The failure to reproduce (Maddox et al., 1988)
only concerned two negative experiments (Schiff, 1995, p 88, 151). Benveniste
replied (Benveniste, 1988) and reacted with anger: ‘ – not to the fact that an
inquiry had been carried out, for I had been willing that this be done – but to
the way in which it had been conducted and to the implication that my team’s
honesty and scientific competence were questioned. The only way definitely to
establish conflicting results is to reproduce them. It may be that we are all wrong
in good faith. This is not crime but science – ’ In rebuttal, we simply refer the
reader to the article confirming the initial findings in Nature, which appeared in the
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 327
Comptes Rendus de l’Académie des Sciences de Paris in 1991 (Benveniste et al.,
1991), reporting the results of subsequent blind experiments entirely designed and
run by Alfred Spira, and his research I.N.S.E.R.M Unit of independent statistical
experts.
To date, since the Nature publication in 1988, several laboratories have attempted
to repeat Benveniste’s original basophils experiments. Importantly, a blind multi-
center trial of four independent research laboratories in France, UK, Italy and
Holland, confirmed that high dilutions of histamine modulate basophil activity
(Belon et al., 1999, 2004; Brown et al., 2001) Histamine solutions and controls were
prepared independently in three different laboratories. This trial was coordinated by
an independent laboratory led by M. Roberfroid at Belgium’s Catholic University
of Louvain, who coded all the solutions and collected the data, but was not involved
in the experiments. In addition, an independent statistician analyzed the resulting
data. Not much room, therefore, for fraud or wishful thinking. Three of the four
labs involved in the trial reported a statistically significant inhibition of the basophil
degranulation reaction by high dilutions of histamine compared with the controls.
The fourth lab gave a result that was almost significant, so the total result over
all four labs was positive for histamine high dilution solutions. ‘We are,’ the
authors say in their paper, ‘unable to explain our findings and are reporting them to
encourage others to investigate this phenomenon.’ Benveniste may well have been
right all along.
In the meantime, between the repetitions, Benveniste and his team, of which we
were members, found the time to do their part: research aimed at understanding
the physical nature of the biological signal. In particular, we asked ourselves
questions concerning the nature of the biological activity in high dilutions. We
suspected some sort of ordering involving electromagnetism. Indeed, in collab-
oration with an external team of physicists (Lab. Magnetisme C.N.R.S.-Meudon
Bellevue, France), we showed in twenty four blind experiments that the activity of
highly dilute agonists was abolished either by heating (70"C, 30 min) or exposure
to a magnetic field (50 Hz!15 ×10 3T!15 min) which had no comparable effect
on the genuine molecules (Hadji et al., 1991). We could thus speculate that trans-
mission of this ordering principle was electromagnetic (EM) in nature. Furthermore,
it is not insignificant that a growing number of observations suggest the suscepti-
bility of biological systems or water to electric and low-frequency electromagnetic
fields (Tsonga, 1989; Frey, 1993; Blanchard et al., 1994; Novikov et al., 1997;
Vallée et al., 2005). Together, these considerations informed exploratory research
which led us to speculate that biological signalling might involve low frequency
waves potentially transmissible to cells or water by purely electromagnetic
means.
For the sake of simplicity, we shall present here only three salient biological
models. The detailed descriptions of the different models have also been reported
in publications, technical reports and patents, most of which are available on the
digibio website (www.digibio.com).
328 CHAPTER 17
2. MATERIALS AND METHODS
2.1 Reagents
Ultra-pure water (W), phenol red-free Hank’s balanced salt solution (HBSS) were
obtained from Biochrom; cytochrome c (horse heart, type III), 4-phorbol-12-b-
myristate-13-acetate (PMA), acetylcholine (ACh), histamine (H), bovine thrombin
and bovine fibrinogen were obtained from Sigma Chemicals. PMA was dissolved in
DMSO at 10 mM and stored at 20"C. Vehicle (DMSO from the same batch) was
also aliquoted and stored at 20"C. Immediately before use, the stock solutions was
diluted to appropriate working concentrations in W. Vehicle consisted of DMSO at
the same concentration as that present in the respective PMA solutions.
ACh and H was dissolved in water at 1 "M and stored at 20"C. Bovine thrombin
(1 U/ml) and bovine fibrinogen (24 mg/ml) were dissolved in W and NaCl 0.9%
respectively, then aliquoted and stored at 20"C. All plastic materials were sterile
and purchased from Becton-Dickinson.
2.2 Preparation of Human Neutrophils
Human blood from consenting healthy donors was anticoagulated with citric acid-
dextrose. Blood was sedimented for 30-45 min in 0.3% final gelatin. The supernatant
was layered on Ficoll-Hypaque and centrifuged. The cell pellet was resuspended
in 1 ml of washing buffer (HBSS supplemented with 0.25% (v/v) BSA, 1ng/ml
LPS and 20mM HEPES). Erythrocytes were lysed by adding 3 vol. distilled water
to the cell suspension, followed 40s. later by 1 vol. of NaCl 3.5% (w/v). Cells
were then washed twice, resuspended in washing buffer and counted. All prepara-
tions contained at least 98% neutrophils as determined by microscopic observation
after staining with May Grünwald-Giemsa (Leyravaud S et al., 1989). Before trans-
mission or addition of molecular agonists, neutrophils were suspended at 1×106/ml
in washing buffer and Ca2+(1.3 mM), Mg2+(1mM) and cytochrome c (80 uM)
were added to the cell suspension which was then aliquoted (1 ml) into Eppendorf
tubes (Thomas et al., 2000). Reactive oxygen metabolites (ROM) production
was measured as the reduction of cytochrome c using a spectrophotometer at
550 nm.
2.3 Heart Preparation (Figure 1)
Isolated hearts were perfused according to the classical Langendorff method
(Benveniste et al., 1983; Kim et al., 1983). Acetylcholine (ACh), histamine (H) or
water (W) was injected via a catheter just above the aorta. Variation in coronary flow
(CF) was measured every min for 30 min. During the same time, other mechanical
parameters (min. and max. tension, heart rate) were recorded using a dedicated
software (Emka Technonologies, Paris, France). Percent (%) increase in CF was
calculated as follows: [1 -(CF maximal value / CF time 0 value#$ ×100.
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 329
Figure 1. Langendorff heart perfusion system. Isolated hearts (male Hartley guinea-pigs, 300 g) were
perfused using Krebs-Henseleit buffer (pH 7.4) gassed with O2/CO2, 95/5%, at a pressure of 40 cm
H2O at 37"C. Samples are injected (2 ml) via a catheter just above the aorta
2.4 In Vitro Coagulation
During blood coagulation there is a complex series of molecular interactions. Two
of the molecules are thrombin and fibrinogen. These two can interact alone in
water without any of the other players normally found in the formation of a clot
(Greenberg et al., 1985). Thrombin is a serine proteinase that converts fibrinogen to
fibrin. At room temperature and within a short time, a clear clot will form. Addition
of a Direct Thrombin Inhibitor (DTI), such as melagatran (Gustaffson et al., 2003)
can delayed or even blocked entirely the thrombin–fibrinogen reaction. Coagulation
330 CHAPTER 17
Figure 2. Schematic drawing of the computer-recorded signals: capture, storage and replay. Shielded cylindrical chamber: composed of three
superposed layers: copper, soft iron, permalloy, made from sheets 1 mm thick. The chamber has an internal diameter of 65 mm, and a height of
100 mm. A shielded lid closes the chamber. Transducers: coil of copper wire, impedance 300 Ohms, internal diameter 6 mm, external diameter
16 mm, length 6 mm, usually used for telephone receivers. Multimedia computer (Windows OS) equipped with a sound card (5KHz to 44 KHz
in linear steps), (Sound Blaster AWE 64, CREATIVE LABS). HiFi amplifier 2x100 watts with an ‘in’ socket, an “out” socket to the speakers, a
power switch and a potentiometer. Pass band from 10 Hz to 20 kHz, gain 1 to 10, input sensitivity +/V. Solenoid coil: conventionally wound
copper wire coil with the following characteristics: internal diameter 50 mm, length 80 mm, R =3%6 ohms, 3 layers of 112 tums of copper vire,
field on the axis to the centre 44 104T/A, and on the edge 25 104T/A. All links consist of shielded cable. All the apparatus is earthed
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 331
is assessed by spectrophotometry at OD620. Percent (%) inhibition coagulation was
calculated as follows: &1– 'OD620 DTI/OD620 W#$ ×100.
2.5 Transmission Apparatus: Audio-Frequency Oscillator
The device used for transmission comprised a standard audio amplifier (Kemo kit
105, West Germany) with magnetic coils connected respectively to the input and
output (impedance 8 ohms). Tubes whose contents were to be transmitted were
placed on the input coil and cells or water on the output coil. When the amplifier
was not connected to the output coil, its output, as viewed with an oscilloscope,
appeared to be noise with some 50 Hz contaminations from the French power grid.
However, when the amplifier was connected to the output coil, it behaved as an
audio-frequency oscillator and signal analysis revealed the emission of a stable
square wave with a frequency of about 3 kHz and voltage of approximately 7 V.
In the presence of a weak, mV range signal not only the amplitude but also
the frequency of the wave were modulated (WO patent-94-17406). During the
transmission procedure, the various parameters such as power, voltage, capacitance
and impedance remained constant, the nature of the source tube being the only
variable.
2.6 Computer-Recorded Signals: Capture, Storage and Replay
The characteristics of the designed apparatus are described in Figure 2 and in the US
patent-03-6541978. Briefly, the process is to first capture the electromagnetic signal
from a biologically active solution and store this digitized signal on a computer’s
hard drive: Thus, tubes containing ACh, H, DTI at 1"M or W were used as source.
After recording (6 sec, 16 bits in mono mode, 44 kHz) the signal is then “played
back” for 10 mins from the computer sound card through a solenoid coil containing
a tube of water (tension of 4 Volts). The digital signals were standard Microsoft
sound files (*.wav). The order of the conditions and their repetitions was always
randomized and blinded. For ease in the discussion, the terminology d-X refers to
the digital EMF signal from the molecules.
3. RESULTS
3.1 Mimicking the Effects of Molecules Using a Transmission
Apparatus: Audio-Frequency Oscillator
Between 1991 and 1996, using a standard audio amplifier that, when connected to
another coil, behaves as an audio-frequency oscillator, we performed a number of
experiments showing that we could transfer specific molecular signals to water or
directly to cells. For instance, we investigated whether molecular signals associated
with PMA could be transmitted by physical means to human neutrophils to modulate
reactive oxygen metabolite (ROM) production. Briefly, neutrophils were placed in
332 CHAPTER 17
9 10
01 2 3 4 5 6 7 8
20
40
60
80
100
First set of experiments
% transmission
11 12 13 14 15 16 17 18 19 20
–30
–10
10
30
50
70
90
110
Second set of experiments
% transmission
Figure 3. Effect of transmitted phorbol-myristate-acetate on neutrophil ROM production. For each trans-
mission sequence to neutrophils, the input coil coupled to the amplifier was operated at room temperature,
while the output coil was placed in a 37"C humidified incubator. The tube containing PMA, (1 uM) or
vehicle was placed on the input coil, and tubes (duplicate) containing neutrophils on the output coil. The
oscillator was then turned on for the 15 min transmission period. In each experiment, 4 simultaneous
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 333
a 37"C humidified incubator on one coil attached to the oscillator, while PMA or
vehicle was placed on another coil at room temperature. For most experiments four
oscillators were used simultaneously. The oscillator was then turned on for 15 min
after which cells were usually further incubated for up to 45 min at 37"C before
OD550 measurement. Additional check consisted of unexposed cells. The positive
control consisted of neutrophils directly stimulated by molecular PMA (1 pM to
10 uM). The procedure and the results of twenty consecutive blind experiments are
shown in Figure 3. One of the two series of experiments was performed in a different
laboratory, with randomization and coding of source tubes being performed by the
head of the laboratory (Dr. F. Russo Marie, INSERM U332). Exposing cells to
transmitted PMA (T-PMA) resulted in an OD increase of 37 ±4% 'mean ±S%E%M,
40 transmissions) compared to unexposed cells. By contrast, exposing cells to
transmitted vehicle (T-vehicle) resulted in a 4%1±1%8% change. In the absence
of cells, transmission of PMA or vehicle alone was without effect on cytochrome
c reduction. The effect of transmitted PMA was roughly equivalent to that of 0.1 nM
molecular PMA. Additional experiments indicate that ROM were not induced when
4(-phorbol 12,13-didecanoate (PDD), an inactive PMA analogue, was transmitted
in the same manner as PMA. The observation that T-PMA but not T-PDD stimulated
ROM production suggested the involvement of Protein kinase C (PKC), the main
target of PMA. Indeed, the impact of transmitted PMA was substantially reduced in
cells pretreated with two PKC inhibitors, GF109203X or H-7 (Thomas et al., 2000).
We next attempted to block the transmission effect: one parameter of the basic
design was modified in half of the transmissions. Either: 1) the oscillator was
turned off or 2) the PMA solution or the cells were shielded with Mu-metal
(an alloy designed to inhibit magnetic fields down to low frequencies). Data
of 12 independent experiments indicate that PMA transmission effect (42 ±8%)
was essentially suppressed when the amplifier was turned off (1%8±1%4%) and
when either the PMA solution or the neutrophils were shielded with Mu-metal
(4%3±2%7%,).
The statistical significance of the experiments was analyzed using the Student’s
t-test. Percent transmission (as defined in the legend of Figure 3) was computed for
each set of cells (cells exposed to T-PMA, T-vehicle, T-PDD or T-PMA oscillator
off). Differences between cells exposed to T-PMA and other experimental groups
(cells exposed to T-vehicle, T-PDD or T-PMA oscillator off) were calculated at 60
min (total incubation time). T-PMA cells were associated with a 33%6±3%4% OD
!
Figure 3. transmissions were performed, using 4 source tubes (2 PMA and 2 vehicles). These 4 source
tubes were prepared, randomized and blinded by coding at the beginning of each experiment. After
transmission, the oscillators were switched off and all cells were left in the incubator for the additional
45 min post-transmission incubation period, before OD measurement. Additional check consisted of
unexposed cells. Viability of all samples was assessed by trypan blue exclusion both before and after
incubation. For each individual experiment, percent (%) transmission was calculated as: 100×(OD550
exposed cells - OD550 unexposed cells) / OD550 unexposed cells. Each error bar corresponds to the
standard error estimated from 4 OD values of exposed cell-tubes. (black bar) T-PMA cells; (hatched
bar) T-vehicle cells
334 CHAPTER 17
increase, in contrast to 2%3±1%3% (n = 58 transmissions, p <103) for T-vehicle,
T-PDD and T-PMA oscillator off (Thomas et al., 2000).
Although, the precise physical mechanism(s) involved remain(s) unknown,
together, these results suggest that PMA molecules emit signals that can be trans-
ferred to neutrophils by artificial physical means in a manner that seems specific
to the source molecules. Along this line are other studies showing transmission
of thyroxine signal via electronic circuit using water as target for the transmitted
signal (Endler et al., 1995). Part of this work was published (Thomas et al., 2000).
Appended to this article were two affidavits, one from a French laboratory testifying
that they supervised and blinded the experiments we did in this laboratory; the
other from an US laboratory (W. Hsueh, Department of Pathology, Northwestern
University, Chicago) testifying that they did some preliminary experiments similar
to ours, without any physical participation on our part, and detect the same effect
as we described.
3.2 Mimicking the Effects of Molecules Using a Computer-Recorded
Signal
Because of the material properties of the oscillator and the limitations of the
equipment used, it is most likely that the PMA signal is carried by frequencies
in the low kilohertz range. Theses considerations led to the establishment in 1995
of a new procedure for the recording and retransmission of the molecular signals
(Figure 2). Briefly, the process is to first capture the EM signal from a biologically
active solution and store this digitized signal on a computer’s hard drive. The EM
signal is then “played back” through a sound card to a solenoid containing a tube
of water.
One of the biological systems, which can be used to detect digital files endowed
with biological activity, is the measurement of coronary flow (CF) in isolated
perfused guinea-pig hearts (Fig. 1). In particular, we investigated the effect of
digital EMF signals of acetylcholine (d-ACh) and histamine (d-H). Digital EMF
signal of water (d-W) and ACh or H, similarly were applied as negative and
positive controls respectively. The procedure and the results of consecutive blind
experiments performed between November 21, 1997 and April 14, 1998 are shown
in Table 1.
d-ACh, ACh, d-H and H increase CF compared to d-W. d-W induced effects
that were indistinguishable from spontaneous flow variations. The two comparisons
d-ACh vs d-W and d-H vs d-W are both significant (p <0%05, Student’s t test for
unpaired variates, Sigma plot 40, Jandel Scientific Corte, Madena, CA). Interest-
ingly, atropine, an ACh inhibitor, inhibited both the effects of the ACh and d-ACh
but not those of H and d-H. Mepyramine, an H1 receptor blocker, inhibited both H
and d-H but not ACh and d-ACh.
In 1996, a team from Northwestern University at Chicago recorded a group of
biological signals, either from bioactive solutions (ACh, Ovalbumin (OVA), % % %)
or control (water), on a computer with a sound card, (using a recording instrument
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 335
Table 1. Effects of digital acetylcholine and histamine on the coronary flow in isolated guinea-pig hearts
(Consecutive blind experiments performed: November 21, 1997-April 14, 1998)
Exp. d-W d-ACh ACh 1uM d-H H 1uM
A. Buffer 4%6±2%1 19%5±7%4 26%6±8%3 14%3±2%5 21%1±8%4
[28] [21] [16] [14] [5]
B. Buffer +atropine 4%2±1%3 7%3±2%8 8%8±3%3 14 ±2%1 23%6±4%3
[12] [10] [3] [3] [4]
C. Buffer +mepyramine 5%9±2%0 19%1±3%9 29%5±4%2 5%8±1%8 8%2±2%9
[9] [3] [5] [5] [6]
Acetylcholine (ACh), histamine (H) and water (W) were recorded as in Fig. 2. Files were digitally
amplified and the signal of digital EMF ACh (d-ACh), H (d-H) or W (d-W) was replayed as described
in Materials and Methods. Atropine is used to inhibit the action of ACh, and mepyramine, to inhibit
the action of H.
A. Water, appropriately exposed to d-ACh or d-H, was then infused to isolated hearts. d-W, ACh or H
at 1 uM were infused as negative and positive controls respectively.
B. Water, appropriately exposed to d-ACh or d-H, was then infused in the presence of atropine
(2 mg/ml), to isolated hearts. d-W, ACh or H at 1 uM were infused as negative and positive controls
respectively.
C. Water, appropriately exposed to d-ACh or d-H, was then infused in the presence of mepyramine
(5 mg/ml), to isolated hearts. d-W, ACh or H at 1 uM were infused as negative and positive controls
respectively.
Results are expressed as percent (%) increase in CF as defined in Materials and Methods. Data
are presented as mean ±SD, nb of experiments.
provided by us), and transmitted them to us, blinded, via Internet. Several months
of “fine tuning” the methodology by both teams (including determining the optimal
time interval and amplification of recording settings, the optimal settings for playing
back the signal, the way of handling the samples, sending the file via e-mail one
file a time, rather than sending all files together, using the same stock solutions,
etc.) had to be done in order to eliminate the variables which might interfere
with the recording and transmission of electromagnetic molecular signals. Although
the possibility exists that we were not completely successful in removing these
interfering variables, we could detect the transmitted biological activities with high
accuracy (% increase in CF). For instance: d-OVA: 24%0±1%4!n=30 compared to
d-water 4%4±0%3!n=58 (p = 4.5 e17, Student’s t test for paired variates). OVA
0%1"M)28%9±3%7!n=19 is not statistically different compared to d-OVA.
In 1999, the Team developed an other biological system: inhibition of fibrinogen
coagulation by a Direct Thrombin Inhibitor (DTI). The hypothesis tested was
whether the reaction rate for coagulation between thrombin and fibrinogen could
be modulated by d-DTI. d-W and DTI (1uM) were used as negative and positive
controls respectively. As illustrated in a representative experiment (Figure 4),
addition of DTI and d-DTI result in a slower reaction rate as compared to W or
d-W. The results of twenty-two consecutive blind experiments performed between
April 16 and June 26, 2004 are shown in Table 2. In the majority of the experiments
d-DTI prolongs the clotting compared to d-W although to a lesser extent than 1 uM
336 CHAPTER 17
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0 5 10 15 20 25 30 35 40 45 50 55 60
Time (min)
OD (620 nm)
d-DTI
d-W
DTI 1uM
W
Figure 4. Effects of a Direct thrombin inhibitor on thrombin induced fibrinogen coagulation. Direct
thrombin inhibitor (DTI) and water (W) were recorded. Files were digitally amplified and the signal of
digital EMF DTI (d-DTI) or W (d-W) was replayed for 10 min, as described in Materials and Methods.
Water, appropriately exposed to d-DTI is added to fibrinogen along with thrombin (Thr). W, d-W and
DTI (1 uM) were used as negative and positive controls respectively. After different time periods,
coagulation is assessed by spectrophotometry and expressed as OD620. One representative experiment
is shown
Table 2. Effects of direct thrombin inhibitor on thrombin induced fibrinogen coagulation (Consecutive
blind experiments performed: April 16–June 26, 2004)
Mean ±SD [n]
d-W 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 0, 1 0%09 ±0%29 [22]
d-DTI 38, 25, 39, 31, 36, 61, 44, 40, 35, 35, 65, 30, 26,
26, 31, 24, 28, 26, 81, 16, 35, 20 36%00 ±15%36 [22]
DTI 1uM 65, 70, 68, 72, 75, 75, 69, 71 70%62 ±3%42 [8]
Water, appropriately exposed to the digital EMF signal of DTI (d-DTI) is added to fibrinogen along
with thrombin. Water (W), digital EMF water (d-W) and DTI (1 uM) were used as negative and positive
controls respectively. Coagulation is assessed by spectrophotometry at OD620. Results are presented at
30 min and expressed as percent (%) inhibition coagulation as defined in Materials and Methods. Data
are mean ±SD, nb of experiments.
DTI. The comparison d-DTI vs d-W is highly significant (p =3%7 e10, Student’s t
test for unpaired variates).
These results suggest that at least some biologically active molecules emit signals
in the form of electromagnetic radiation of less than 44 kHz that can be recorded
and digitized. The digitized signal can be replayed to water, target cells or organs
in a manner that seems specific to the source molecules.
However, our attempts to replicate these data in four other laboratories yielded
mixed results. We then realized the difficulty in ‘exporting’ a method, which is very
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 337
far from conventional biology. This may reflect key variables like, for instance,
the purity of water, its conductance, the purity of the chemicals, electromagnetic
environmental conditions. Also, individual variations of the operator’s performance
could explain some erratic results. In order to eliminate these uncontrolled param-
eters, the same reagents are always used and two shielded robots were built in order
to eliminate the distorting effects of human intervention. An external laboratory
where a team of scientists is currently attempting to replicate the experiments is
using one of those.
4. DISCUSSION: THE CURRENT STATE OF KNOWLEDGE
Among the various theoretical problems associated with such a signal, three appear
particularly pertinent. The first relates to background noise. Given the level of
electromagnetic noise present in the environment, it is necessary to postulate
ways in which the signal-to-noise ratio or the detection of specific signals, or
both, are enhanced. In fact, an appropriate level of noise enhances a specific
periodic signal rather than overwhelming it, a phenomenon known as stochastic
resonance (Wiesenfeld et al., 1995; Astumian et al., 1995; Pickard, 1995). The
relevance of this concept to the phenomena reported here remains to be deter-
mined. Second, the limitations of the equipment used here, suggest that the signal
is carried by frequencies in the low kilohertz range, many orders of magnitude
below those generally associated with molecular spectra (US patent-03-6541978).
The ‘beat frequency’ phenomenon may explain this discrepancy, since a detector,
for instance a receptor, will ‘see’ the sum of the components of a given complex
wave (Banwell, 1983). Third, how to explain the ability of water to carry and
memorize biological signals? Will Quantum ElectroDynamics (QED) provide these
answers (Del Giudice et al., 1988; Preparata et al., 1995)?. QED-based long-range
electromagnetic communication between molecules may represent the founding
theory able to unravel the nature of the molecular signal and the role of perimolecular
water in its transmission. The best is to let Preparata explain it himself (excerpts
from the proceedings of the meeting (14/12/1999) at the Institute of Pharmacology,
University of Rome ‘La Sapienza’, The role of QED in medicine : ‘The space-time
order in biochemistry cannot be the product of the chemical interactions whose
range is too short (a few Angstroms) to allow the molecules to detect each other
from afar and, moreover, when they are inside a crowd of other molecules, not
involved in the specific biochemical sequence. QED solves this problem completely,
since, within a coherent medium, molecules may interact through their common
coupling to the electromagnetic field and the intensity of the force depends inversely
upon the difference of their oscillation frequencies, so that molecules whose oscil-
lation frequencies are significantly different ignore each other, whereas resonant
molecules attract themselves strongly. We get thus a selective recognition code
based on the electromagnetic resonance, which could provide the dynamic basis to
the biochemical codes. Electromagnetic fields have a long range and then are able
to produce a recognition at a distance, also in a crowd of non-resonating molecules’.
338 CHAPTER 17
Alternative hypotheses have been proposed for explaining water memory. For
instance, one hypothesis predicts changes in the water structure by forming more
or less permanent clusters (Fesenko et al., 1995). Louis Rey using a technique
that measures thermoluminescence points to the unusual properties of water under
certain treatments suggesting that water does have a memory of molecules that
have been diluted away (Rey, 2003). Clearly, more theoretical and experimental
work is needed to unveil the physical basis of the transfer (and storage?) of specific
biological information either between interacting molecules or via an electronic
device.
5. CONCLUDING REMARKS
This story, exemplifies the fact that most if not all researchers, nowadays and in
the past, were misguided to apply existing reasoning and methods to a completely
new domain of research.
The debate on the memory of water started in 1988 and in 2005, i.e., 17 years
late, the majority of the scientific community rejects it, even though an increasing
number of scientists report they have confirmed the basic results made by Jacques
Beneveniste ’group.
As Isaac Behar, who has worked closely with Jacques Benveniste, pointed out:
‘a parallel can be drawn between the polemics on memory of water, presuming
that the action of molecules are mediated by an electromagnetic phenomenon, and
the polemics on the transmission of nerve influx. This debate started in 1921 with
the first experiments performed by Otto Loewi. The polemic was still active in
1949 i.e., 28 years after the first test assuming that transfer of nerve influx through
synapses are mediated by specific molecules, the neurotransmitters (Bacq, 1974).’
Since the very beginning we have placed a great deal of emphasis on carrying
out our work under the highest standards of methodology and great effort has been
made to isolate it from environmental artifacts. More difficulties most probably
lie ahead. Now that Jacques Benveniste is no longer with us, the future of the
‘digital biology’ is in the hands of those who have been convinced of the reality
of the basic phenomena. Most likely they will succeed if they combine full
biological and physical competences to understand the nature of the biological
signals (Ninham, 2005).
ACKNOWLEDGEMENTS
The authors express their sincere appreciation to the members of the laboratory
staff, past, present and future, whose valuable contributions have been essential to
the success of this scientific adventure. A special mention is given to Françoise
Lamarre who for 30 years has served as the executive secretary. Now she is
continuing her part through the ‘Association Jacques Benveniste pour la Recherche’
(http://jacques.benveniste.org). We are deeply grateful to supporters and financial
investors who have enabled the “Laboratoire de Biologie Numerique” to carry on
THE PHYSICAL NATURE OF THE BIOLOGICAL SIGNAL 339
the work thus far. We are also indebted to Dr. Wei Hsueh (Northwestern University,
Department of Pathology, Chicago, USA) for her valuable scientific contributions
and collaborations.
REFERENCES
Astumian RD, Weaver JC, Adair RK (1995) Rectification and signal averaging of weak electric fields
by biological cells. Proc Natl Acad Sci USA 92:3740–3743
Bacq Z (1974) Les transmissions chimiques de l’influx nerveux. Villars G (ed), Paris, France
Banwell CN (1983) Fundamentals of Molecular Spectroscopy. McGraw-Hill Publ UK, pp 26–28
Belon P, Cumps J, Ennis M, Mannaioni PF, Sainte-Laudy J, Roberfroid M, Wiegant FA (1999) Inhibition
of human basophil degranulation by successive histamine dilutions: results of a European multi-centre
trial. Inflamm Res 48 Suppl 1:S17–S18
Belon P, Cumps J, Ennis M, Mannaioni PF, Roberfroid M,Sainte-Laudy J, Wiegant FA (2004) Histamine
dilutions modulate basophil activation. Inflamm Res 53 (5):181–188
Benveniste J, Henson PM, Cochrane CG (1972) Leukocyte-dependent histamine release from rabbit
platelets. The role of IgE, basophils, and a platelet-activating factor. J Exp Med 136:1356–1377
Benveniste J (1974) Platelet-activating factor, a new mediator of anaphylaxis and immune complex
deposition from rabbit and human basophils. Nature 249:581–582
Benveniste J (1988) Dr Jacques Benveniste replies. Nature 334:291
Benveniste J, Davenas E, Ducot B, Cornillet B, Poitevin B, Spira A (1991) L’agitation de solutions
hautement diluées n’induit pas d’activité biologique spécifique. Comptes-Rendus de l’Académie des
Sciences de Paris 312:461–466
Benveniste J, Bowllet C, Brink C, Labat C. 1983. The actions of PAF–acether on guinea.pig isolated
heart preparations. Br J Pharmacol. 80(1):81–83
Blanchard JP, Blackman CF (1994) Clarification and application of an ion parametric resonance model
for magnetic field interactions with biological systems. Bioelectromagnetics 15(3):217–238
Brown V, Ennis M (2001) Flow-cytometric analysis of basophil activation: inhibition by histamine at
conventional and homeopathic concentrations. Inflamm Res 50(Suppl 2):S47–S48
Davenas E, Poitevin B, Benveniste J (1987) Effect of mouse peritoneal macrophages of orally adminis-
tered very high dilutions of silica. Eur J Pharmacol 31, 135(3):313–319
Davenas E, Beauvais F, Amara J, Oberbaum M, Robinzon B, Miadonna A, Tedeschi A, Pomeranz B,
Fortner P, Belon P, Sainte-Laudy J, Poitevin B, Benveniste J (1988) Human basophil degranulation-
triggered by very dilute antiserum against IgE. Nature 333:816–818
Del Giudice E, Preparata G, Vitiello G (1988) Water as a free electric dipole laser. Phys Rev Lett
61:1085–1088
Elia V, Niccoli M (2004) New Physico-chemical properties of extremely diluted aqueous solutions.
J Therm Anal Calorimetry 75:815–836
Endler PC, Pongratz W, Smith CW, Schulte J (1995) Non-molecular information transfer from thyroxine
to frogs. Vet Hum Toxicol 37:259–263
Fesenko EE, Gluvstein AY (1995) Changes in the state of water,induced by radiofrequency electromag-
netic fields. FEBS Lett 367:53–55
Frey AH (1993) Electromagnetic field interactions with biologicalsystems. FASEB J 7:272–281
Greenberg CS, Miraglia CC, Rickles FR, Shuman MA (1985) Cleavage of blood coagulation factor XIII
and fibrinogen by thrombin during in vitro clotting. J Clin Invest 75(5):1463–1470
Gustaffson D, Elg M (2003) The pharmacodynamics and pharmacokinetics of the oral direct
thrombin inhibitor ximelagatran and its active metabolite melagatran: A mini-review.Thromb Res
109(Suppl 1):S9–S15
Hadji L, Arnoux B, Benveniste J (1991) Effect of dilute histamineon coronary flow of guinea-pig isolated
heart. Inhibition by amagnetic field. FASEB J 1. 5:A–I583
Kim DH, Akera T, Kennedy RH (1983) Ischemia-induced enhancement of digitalis sensitivity in isolated
guinea-pig heart. J Pharmacol Exp Ther 226(2):335–342
340 CHAPTER 17
Leyravaud S, Benveniste J (1989) Regulation of cellular retention of PAF-acether by extracellular pH
and cell concentration. Biochim Biophys Acta 1005:192–196
Maddox J, Randi J, Stewart WW (1988) High-dilution’experiments a delusion. Nature 334:287–290
Ninham BW, Boström M (2005) Building bridges between the physical and biological sciences. Cell
Mol Biol (The scholars who talk to the wind, Thomas Y & Mentre P (eds)) in press
Novikov VV, Karnaukhov AV (1997) Mechanism of action of weak electromagnetic field on ionic
currents in aqueous solutions of amino acids. Bioelectromagnetics 18:25–27
Pickard WF (1995) Trivial influences: A doubly stochastic Poisson process model permits the detection
of arbitrarily small electromagnetic signal. Bioelectromagnetics 16(1):2–8 and 9–19
Poitevin B, Davenas E, Benveniste J (1988) In vitro immunological degranulation of human basophils
is modulated by lung histamine and Apis mellifica. Br J Clin Pharmacol 25:439–444
Preparata G (1995) QED Coherence in Matter. Singapore: WorldScientific
Rey L (2003) Thermoluminescence of ultra high dilutions of lithium chloride and sodium chloride.
Physica A 323:67–74
Schiff M (1995) The Memory of Water. Thorsons (ed), UK
Thomas Y, Schiff M, Belkadi L, Jurgens P, Kahhak L, Benveniste J (2000) Activation of human
neutrophils by electronically transmitted phorbol-myristate acetate. Medical Hypotheses 54:33–39
Tsonga TY (1989) Deciphering the language of cells. Trends Biochem Sci 14:89–92
Vallee Ph, Lafait J, Mentré P, Monod MO, Thomas Y (2005) Effects of pulsed low frequency electro-
magnetic fields on water using photoluminescence spectroscopy: Role of bubble/water interface? J
Chem Phys 122:114513–114521
Wiesenfeld K, Moss F (1995) Stochastic resonance and the benefits of noise: From ice ages to crayfish
and SQUIDS. Nature 373:33–36
... After high dilutions, Benveniste developed from the year 1992 different devices based on electromagnetism and made of electric coils and electronic amplifiers which were supposed to "transfer the activity" of biologically-active molecules directly to water samples without the dilution process [3,[15][16][17][18][19][20]. The "transmission" experiments were also supposed to avoid contaminations that could be responsible for the observed effects. ...
Preprint
Full-text available
Benveniste’s experiments – known in the lay press as the “water memory” phenomenon – are generally considered to be a closed case. However, the amount of data generated by twenty years of well-conducted experiments prevents closing the file so simply. An issue, which has been little highlighted so far, merits to be emphasized. Indeed, if Benveniste failed to persuade his peers of the value of his experiments, it was mainly because of a stumbling block, namely the difficulty of convincingly proving the causal relationship between the supposed cause (“informed water”) and the experimental outcomes in different biological models. To progress in the understanding of this phenomenon, we abandon the idea of any role of water in these experiments (“water memory” and its avatars). In other words, we assume that “control” and “test” conditions to be evaluated were physically identical and differed only by their respective designations. We show in this article how simple probabilistic considerations allow to build a model that accounts for all aspects of Benveniste’s experiments. In this model based on probability amplitudes, constructive and destructive interferences emerge – or not – according to the experimental context. The recording of a statistical regularity shapes the intertwined whole constituted by the probability amplitudes of the states of the experimenter’s cognitive structures and of the experimental system. This model provides an alternative explanation to Benveniste’s experiments where water plays no role and where the place of the experimenter is central.
... After high dilutions, Benveniste developed from the year 1992 different devices based on electromagnetism and made of electric coils and electronic amplifiers which were supposed to "transfer the activity" of biologically-active molecules directly to water samples without the dilution process [3,[15][16][17][18][19][20]. The "transmission" experiments were also supposed to avoid contaminations that could be responsible for the observed effects. ...
Preprint
Full-text available
Benveniste’s experiments – known in the lay press as the “water memory” phenomenon – are generally considered to be a closed case. However, the amount of data generated by twenty years of well-conducted experiments prevents closing the file so simply. An issue, which has been little highlighted so far, merits to be emphasized. Indeed, if Benveniste failed to persuade his peers of the value of his experiments, it was mainly because of a stumbling block, namely the difficulty of convincingly proving the causal relationship between the supposed cause (“informed water”) and the experimental outcomes in different biological models. To progress in the understanding of this phenomenon, we abandon the idea of any role of water in these experiments (“water memory” and its avatars). In other words, we assume that control and test conditions that were evaluated were all physically identical; only their respective designations (labels) differentiated them. As a consequence, labels (“controls” vs. “tests”) and the corresponding states of the biological system (no change vs. change) are independent variables. We show in this article how simple considerations based on probability theory allow to build a probability model where the order of measurements matters. This model provides an alternative explanation to Benveniste’s experiments where water plays no role and where the place of the experimenter is central.
... After high dilutions, Benveniste developed from the year 1992 different devices based on electromagnetism and made of electric coils and electronic amplifiers which were supposed to "transfer the activity" of biologically-active molecules directly to water samples without the dilution process [3,[15][16][17][18][19][20]. The "transmission" experiments were also supposed to avoid contaminations that could be responsible for the observed effects. ...
Preprint
Full-text available
Benveniste’s experiments – known in the lay press as the “water memory” phenomenon – are generally considered to be a closed case. However, the amount of data generated by twenty years of well-conducted experiments prevents closing the file so simply. An issue, which has been little highlighted so far, merits to be emphasized. Indeed, if Benveniste failed to persuade his peers of the value of his experiments, it was mainly because of a stumbling block, namely the difficulty of convincingly proving the causal relationship between the supposed cause (“informed water”) and the experimental outcomes in different biological models. To progress in the understanding of this phenomenon, we abandon the idea of any role of water in these experiments (“water memory” and its avatars). In other words, we assume that “controls” and “tests” that were evaluated were all physically identical; only their respective designations (labels) differentiated them. Since we state that there is no causal link between labels (“controls” vs. “tests”) and corresponding states of the biological system (no change vs. change), these variables are independent. Therefore, the key question is: “Is it possible to observe a correlation between independent variables that mimics a causal relationship but is itself not causal?” In this article, we show how simple considerations based on probability theory lead to describe non-classical correlations involving the experimenter. This probabilistic modelling allows to propose an alternative explanation to Benveniste’s experiments where water plays no role and where the place of the experimenter is central.
... After high dilutions, Benveniste developed from the year 1992 different devices based on electromagnetism and made of electric coils and electronic amplifiers which were supposed to "transfer the activity" of biologically-active molecules directly to water samples without the dilution process [3,[15][16][17][18][19][20]. The "transmission" experiments were also supposed to avoid contaminations that could be responsible for the observed effects. ...
Preprint
Full-text available
Benveniste’s experiments – known in the lay press as the “water memory” phenomenon – are generally considered to be a closed case. However, the amount of data generated by twenty years of well-conducted experiments prevents closing the file so simply. An issue, which has been little highlighted so far, merits to be emphasized. Indeed, if Benveniste failed to persuade his peers of the value of his experiments, it was mainly because of a stumbling block, namely the difficulty of convincingly proving the causal relationship between the supposed cause (“informed water”) and the experimental outcomes in different biological models. To progress in the understanding of this phenomenon, we abandon the idea of any role of water in these experiments (“water memory” and its avatars). In other words, we assume that “control” and “test” conditions to be evaluated were physically identical and differed only by their respective designations. We show in this article how simple probabilistic considerations allow to build a model that accounts for all aspects of Benveniste’s experiments. In this model based on probability amplitudes, constructive and destructive interferences emerge – or not – according to the experimental context. The recording of a statistical regularity shapes the intertwined whole constituted by the probability amplitudes of the states of the experimenter’s cognitive structures and of the experimental system. This model provides an alternative explanation to Benveniste’s experiments where water plays no role and where the place of the experimenter is central.
... Despite having been marginalized after this disturbing episode, Benveniste continued to develop his investigations. Other biological models were used (mainly isolated rodent heart and plasma coagulation) and original procedures were developed in order to confirm the initial ideas [14][15][16][17][18][19]. Using electronic devices, Benveniste's team reported that the "electromagnetic signature" emitted from molecules in solution could be transferred to samples of water or even recorded on a computer memory before being "played" ("digital biology"). ...
Preprint
Full-text available
Background: Benveniste’s biology experiments suggested the existence of molecular-like effects without molecules (“memory of water”). In this article, it is proposed that these disputed experiments could have been the consequence of a previously unnoticed and non-conventional experimenter effect. Methods: A probabilistic modelling is built in order to describe an elementary laboratory experiment. A biological system is modelled with two possible states (“resting” and “activated”) and exposed to two experimental conditions labelled “control” and “test”, but both biologically inactive. The modelling takes into account not only the biological system, but also the experimenters. In addition, an outsider standpoint is adopted to describe the experimental situation. Results: A classical approach suggests that, after experiment completion, the “control” and “test” labels of biologically-inactive conditions should be both associated with “resting” state (i.e. no significant relationship between labels and system states). However, if the fluctuations of the biological system are also considered, a quantum-like relationship emerges and connects labels and system states (analogous to a biological “effect” without molecules). Conclusions: No hypotheses about water properties or other exotic explanations are needed to describe Benveniste’s experiments, including their unusual features. This modelling could be extended to other experimental situations in biology, medicine and psychology.
... 20 At this occasion, he coined the expression "digital biology". 20,21 In Table 1, arguments from Benveniste's experiments in favor of or against "memory of water" are summarized. The arguments in favor of "memory of water" are mainly the observation of "activated" states of the biological systems associated to test samples "imprinted" with different methods and the apparent specificity of the biological effects. ...
Preprint
Full-text available
The “memory of water” experiments suggested the existence of molecular-like effects without molecules. Although no convincing evidence of modifications of water – specific of biologically-active molecules – has been reported up to now, consistent changes of biological systems were nevertheless recorded. We propose an alternate explanation based on classical conditioning of the experimenter. Using a probabilistic model, we describe not only the biological system, but also the experimenter engaged in an elementary dose-response experiment. We assume that during conventional experiments involving genuine biologically-active molecules, the experimenter is involuntarily conditioned to expect a pattern, namely a relationship between descriptions (or “labels”) of experimental conditions and corresponding biological system states. The model predicts that the conditioned experimenter could continue to record the learned pattern even in the absence of the initial cause, namely the biologically-active molecules. The phenomenon is self-sustained because the observation of the expected pattern reinforces the initial conditioning. A necessary requirement is the use of a system submitted to random fluctuations with autocorrelated successive states (no forced return to the initial position). The relationship recorded by the conditioned experimenter is, however, not causal in this model because blind experiments with an “outside” supervisor lead to a loss of correlations (i.e., system states randomly associated to “labels”). In conclusion, this psychophysical model allows explaining the results of “memory of water” experiments without referring to water or another local cause. It could be extended to other scientific fields in biology, medicine and psychology when suspecting an experimenter effect.
... Thus, a conclusion to draw out was that the "activation" of water, operated by anti-IgE antibody, lingered also in its absence making water biologically active. Time later, in the nineties, after studying further biological effects in presence of a magnetic field [11], Benveniste asserted that this "memory" could be digitized, transmitted, and reinserted into another sample of water, which would then contain the same active qualities as the first sample [12]. Encouraged by the public support of Brian Josephson, a physicist Nobel laureate, Benveniste continued his experiments along the same basic lines, culminating with a paper claiming the effect could be transmitted over phone lines [13]; this was followed by another paper on electronically remote-transmission [14]. ...
Article
Full-text available
The peculiar properties of water are recalled, among them the “memory of water”, underlining the behavior of cell water, whose “ordered” structure is probably due to the endogenous electromagnetic fields generated by organelles inside the cells, such mitochondria and microtubules. Biological and clinical implications of water dynamic changes are reported, mainly based on SEP (Skin Electric Parameters) analysis and a hypothesis that has been advanced about an “action at distance” exerted by low concentration drugs. Nowadays, regarding measures of electro-cutaneous parameters our research can resort to a device of advanced electronics, APEC 300, that, beside an Electro Acupuncture operational function, but with quantitative precise values, can detect micro variations on parameters of cell aqueous solutions, and those of the water too, when the analyzed object is solicited by an external electromagnetic weak field, as well as by a drug at a very low concentration. A draft of two possible lines of research is outlined in conclusions, one depending only on ourselves and regarding “water tests” in the context of the “memory of water” experiments. By the side of EIS experiments about conductivity and impedance spectroscopy, in this article very high-resolution measures are suggested, by means of APEC 300, of an important parameter, the potential; a kind of measurements less complex and more reliable regarding the device/object interference, to which can besides easily be associated a frequency spectrum in the extremely low frequency region. In this line of research, it is the first time, for what we know, that some measurements of the potential, with its frequency spectrum, have been carried out for water without and with stimulation (the latter represented by the action of a magnetic field). This first set of measures by APEC 300 reveals the region 0–0.5 Hz as one of special interest.
Article
The “memory of water” experiments suggested the existence of molecular-like effects without molecules. Although no convincing evidence of modifications of water – specific of biologically-active molecules – has been reported up to now, consistent changes of biological systems were nevertheless recorded. We propose an alternate explanation based on classical conditioning of the experimenter. Using a probabilistic model, we describe not only the biological system, but also the experimenter engaged in an elementary dose-response experiment. We assume that during conventional experiments involving genuine biologically-active molecules, the experimenter is involuntarily conditioned to expect a pattern, namely a relationship between descriptions (or “labels”) of experimental conditions and corresponding biological system states. The model predicts that the conditioned experimenter could continue to record the learned pattern even in the absence of the initial cause, namely the biologically-active molecules. The phenomenon is self-sustained because the observation of the expected pattern reinforces the initial conditioning. A necessary requirement is the use of a system submitted to random fluctuations with autocorrelated successive states (no forced return to the initial position). The relationship recorded by the conditioned experimenter is, however, not causal in this model because blind experiments with an “outside” supervisor lead to a loss of correlations (i.e., system states randomly associated to “labels”). In conclusion, this psychophysical model allows explaining the results of “memory of water” experiments without referring to water or another local cause. It could be extended to other scientific fields in biology, medicine and psychology when suspecting an experimenter effect.
Article
Full-text available
Background: Benveniste's biology experiments suggested the existence of molecular-like effects without molecules ("memory of water"). In this article, it is proposed that these disputed experiments could have been the consequence of a previously unnoticed and non-conventional experimenter effect.Methods:A probabilistic modelling is built in order to describe an elementary laboratory experiment. A biological system is modelled with two possible states ("resting" and "activated") and exposed to two experimental conditions labelled "control" and "test", but both are biologically inactive. The modelling takes into account not only the biological system, but also the experimenters. In addition, an outsider standpoint is adopted to describe the experimental situation.Results:A classical approach suggests that, after experiment completion, the "control" and "test" labels of biologically-inactive conditions should both be associated with the "resting" state (i.e., no significant relationship between labels and system states). However, if the fluctuations of the biological system are also considered, a quantum-like relationship emerges and connects labels and system states (analogous to a biological "effect" without molecules).Conclusions:No hypotheses about water properties or other exotic explanations are needed to describe Benveniste's experiments, including their unusual features. This modelling could be extended to other experimental situations in biology, medicine, and psychology.
Article
Full-text available
Noise in dynamical systems is usually considered a nuisance. But in certain nonlinear systems, including electronic circuits and biological sensory apparatus, the presence of noise can in fact enhance the detection of weak signals. This phenomenon, called stochastic resonance, may find useful application in physical, technological and biomedical contexts.
Article
Full-text available
When human polymorphonuclear basophils, a type of white blood cell with antibodies of the immunoglobulin E (IgE) type on its surface, are exposed to anti-IgE antibodies, they release histamine from their intracellular granules and change their staining properties. The latter can be demonstrated at dilutions of anti-IgE that range from 1 x 10(2) to 1 x 10(120); over that range, there are successive peaks of degranulation from 40 to 60% of the basophils, despite the calculated absence of any anti-IgE molecules at the highest dilutions. Since dilutions need to be accompanied by vigorous shaking for the effects to be observed, transmission of the biological information could be related to the molecular organization of water.
Article
Full-text available
The extremely diluted solutions are anomalous solutions obtained through the iteration of two processes: a dilution 1:100 in mass and a succussion. The iteration is repeated until extreme dilutions are reached (less than 1·10-5mol kg-1) to the point that we may call the resulting solution an extremely diluted solution, namely the composition of the solution is identical to that of the solvent used (e.g. twice distilled water). We conducted thermodynamic and transport measurements of the solutions and of the interaction of those solutions with acids or bases. The purpose of this study is to obtain information about the influence of successive dilutions and succussions on the water structure of the solutions under study. We measured the heats of mixing of acid or basic solutions with such extremely diluted solutions, their electrical conductivity and pH, comparing with the analogous heats of mixing, electrical conductivity and pH of the solvent. We found some relevant exothermic excess heats of mixing, higher electrical conductivity and pH than those of the untreated solvent. The measurements show a good correlation between independent physico-chemical parameters. Care was taken to take into account the effect of chemical impurities deriving from the glass containers. Here we thus show that successive dilutions and succussions can permanently alter the physico-chemical properties of the water solvent. The nature of the phenomena here described still remains unexplained, nevertheless some significant experimental results were obtained.
Article
Full-text available
The activity of very high dilutions of silica, a substance cytoxic for macrophages, was tested on the synthesis by mouse peritoneal macrophages of the inflammatory ether-lipid paf-acether and its precursor lyso paf-acether. C57Bl6 female mice received for 25 days either 1.66 × 10−11 M silica (11 sil) or 1.66 × 10−19 M (19 sil) (final concentration) in the tap-water they were given to drink while control mice remained untreated. Isolated macrophages from mice treated with 11 sil produced 44.2 and 30.8% more paf-acether than cells from untreated mice in the presence of 50 and 200 μg zymosan (Z)/ml respectively. When 19 sil was given to the mice, the respective increases were 67.5 and 38%. In an experiment with a blind design, the mice were either untreated or received 19 sil or saline submitted to the same dilution procedure (19 sal). After administration of 19 sil, paf-acether synthesis was 55.5 and 33.5% higher upon stimulation with 50 and 200 μg Z/ml, respectively, than in the 19 sal group. In a third blind experiment, macrophages from mice that received 19 sil formed 61.3 and 28.6% more paf-acether upon stimulation with 50 and 200 μg Z/ml respectively, as compared to mice receiving 19 sal or lactose submitted to the same dilution procedure (19 lac). There was no difference between the 19 sal and the 19 lac groups. The differences between control and silica-treated mice were highly statistically significant in all experiments. There was no effect on the synthesis of lyso paf-acether. These results demonstrate clear ex vivo cellular effect of high dilutions of silica, that cannot be explained in our present state of knowledge.
Article
Full-text available
Thrombin cleavage of blood coagulation Factor XIII (a2b2) and fibrinogen was studied during in vitro clotting to determine the physiologic sequence of these events. First, the time course of fibrin formation and cleavage of Factor XIII was measured in platelet-rich plasma. Cleavage of fibrinogen was measured by using a radioimmunoassay for fibrinopeptide A. Conversion of trace amounts of radioiodinated a-chains of 125I-Factor XIII to thrombin-modified a-chains was measured in unreduced 10% sodium dodecyl sulfate-polyacrylamide gels. During spontaneous clotting, a similar percentage of 125I-Factor XIII and fibrinogen was cleaved at each time point. Visible gelation of polymerized fibrin monomer occurred when 24±8% of fibrinogen was cleaved and 21±6% of Factor XIII was converted to Factor XIII'. Thrombin cleavage of Factor XIII and fibrinogen was also studied in platelet-poor plasma to which thrombin was added. In order to measure Factor XIIIa activity, fibrin polymerization was completely inhibited by the addition of Gly-Pro-Arg-Pro. Factor XIIIa formation was measured by the incorporation of [3H]putrescine into casein. The concentration of added thrombin required to cleave 50% of fibrinogen and Factor XIII was 0.65 U/ml and 0.35 U/ml, respectively. The rate of cleavage of fibrinogen by thrombin was 43-fold greater than cleavage of Factor XIII. Lower Gly-Pro-Arg-Pro concentrations were used to determine the effects of incompletely inhibiting fibrin polymerization on cleavage of Factor XIII and fibrinogen. Thrombin cleavage of Factor XIII but not fibrinogen was dependent on the extent of fibrin polymerization. The more marked the degree of inhibition of fibrin polymerization, the slower the rate of Factor XIIIa formation. Thus, in platelet-rich plasma, thrombin cleavage of Factor XIII and fibrinogen are closely related events during spontaneous clotting. Furthermore, cleavage of Factor XIII during clotting is enhanced by fibrin polymerization in platelet-poor plasma.
Article
Full-text available
1. The effect of high dilutions of two homeopathic drugs Lung histamine (Lung his) and Apis mellifica (Apis mel) used for the treatment of allergic diseases has been assessed on in vitro human basophil degranulation. Experiments were conducted blind. 2. Basophil degranulation induced by 1.66 X 10(-9) M anti-IgE antibody was significantly inhibited in the presence of 5 Lung his (5th centesimal dilution of Lung his) and 15 Lung his (15th centesimal dilution of Lung his) by 28.8% and 28.6% respectively and by 65.8% in the presence of 9 Apis mel (9th centesimal dilution of Apis mel). Basophil degranulation induced by 1.66 X 10(-16) to 1.66 X 10(-18) M anti-IgE antibody was also inhibited by high dilutions of Lung his and Apis mel with an inhibition of nearly 100% with 18 Lung his (18th centesimal dilution of Lung his) and 10 Apis mel (10th centesimal dilution of Apis mel). An alternance of inhibition, inactivity and stimulation was observed when basophils were incubated in the presence of serial dilutions of Lung his and Apis mel. 3. The investigation of the clinical efficacy of high dilutions of Lung his and Apis mel should be envisaged in allergic diseases in parallel with in vitro and ex vivo biological assays.
Article
Long distance cell-to-cell or organism-to-organism communications may be accomplished by transmission and reception of electromagnetic signals through membrane receptors or enzymes. Consistent with this idea is the observation that membrane ATPases are capable of absorbing energy from oscillating electric fields of defined frequency and amplitude and using it to perform chemical work. The concept of the 'electroconformational coupling' is used to explain how an electric signal can modulate the activity of a membrane protein, and conversely, how an energy-dissipating reaction can produce an electric signal.
Article
The role of paf-acether as an intracellular mediator was recently challenged by studies showing that it remained cell-associated in several cell types. We showed that the level of paf-acether found in extracellular medium was strongly reduced when extracellular pH decreased and when cell concentration increased. Therefore the number of cells and extracellular pH should be taken into consideration before speculating on the release vs. retention of paf-acether.