Open Access
1 September 2004 Contaminant effect on cellular metabolic differential pressure curves
Marziale Milani, Monica Ballerini, Lorenzo Ferraro, Matteo Zabeo, Massimo Barberis, Maria Cannone, Venera Faraone
Author Affiliations +
Abstract
The possibility of a pressure monitoring system by differential pressure sensors to detect contaminant effects on cellular cultures metabolic activity is discussed using Saccharomyces cerevisiae, lymphocyte, and AHH1 cell cultures. Metabolic (aerobic and anaerobic) processes in cells are accompanied by CO2 production that induces changes in pressure values when cells are cultured in sealed vessels. These values are subsequently converted in voltage units and plotted pressure dynamics versus time. This procedure leads to a standard curve, typical of the cellular line, which characterizes cellular metabolism when all parameters are controlled, such as temperature and nutrients. Different phases appear in the S. cerevisiae differential pressure curve: an initial growth up to a maximum, followed by a decrement that leads to a typical "depression" (pressure values inside the test-tubes are lower than the initial one) after about 35 h from the beginning. The S. cerevisiae differential pressure curve is successfully used to test the effects of chemical (Amuchina®, trieline) and physical (UV radiation, blue light, magnetic fields) contaminants. The same technique is applied to lymphocytes and AHH1 cultures to investigate the effects generated by a 72-h exposure to a 50-Hz, 60-μT electromagnetic field. Lymphocyte samples, cultured in a PHA medium, grow less than control ones, but exhibit a greater metabolic activity: changes in the exposure system configuration influence neither sample growth differences nor metabolic response variations between control and irradiated samples, while all the other irradiation parameters remain constant. Control and irradiated lymphocyte samples, without PHA in culture medium, show the same behavior both during irradiation and metabolic test. AHH1 control and irradiated samples show no difference both in growth percentage during irradiation and in metabolic activity. Different cell cultures respond to the same stimulus in different manners.

1.

Introduction

A pressure monitoring system, based on differential pressure sensors, was designed to detect contaminant effects on the metabolic activity of cell cultures (thus moving in the field of environmental toxicology), as well as the possible effects of an electromagnetic field1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 (that have long been the object of scientific debate). It is an evolution of Hayduck’s low-scale manometers and satisfies the necessity of a fast and noninvasive metabolism monitoring technique.16 Cell number reductions or metabolic alterations that derive from contaminants of a chemical or physical nature can be traced by variations in cell cultures capability to produce CO 2. Moreover, this technique can be easily complemented by other effective diagnostic techniques such as mass spectrometry for the vessel atmosphere and Fourier transform IR (FTIR) spectroscopy both for atmosphere (gas phase) and cell suspending medium (liquid phase).

Our investigation method gives the overall picture of behavior of a cellular culture by measuring pressure variations in a test tube; the pressure changes because cells produce CO 2 by glucose consumption. The experimental setup is shown in Fig. 1. Measures are obtained strictly by differential pressure sensors connected to closed sample tubes; pressure data are acquired by an acquisition board connected to a computer and give a standard curve (pressure variation versus time), typical of the cellular line, connected to cellular metabolism. The curve is characterized by different phases: an initial growth up to a maximum, followed by a decrement that leads to a typical “depression.” This is a novel result that was presented and discussed in detail in Refs. 17 and 18. Experiments are carried out with test tubes in thermostatic baths so that samples temperature is maintained constant and in presence of suspension medium control vessels to give constant monitoring of pressure baseline. The differential pressure monitoring technique was been performed on different cell types: Saccharomyces cerevisiae, lymphocytes, and AHH1 culture samples. We used S. cerevisiae both because this unicellular eucariote is a good and cheap model for complex biological problems and because yeast is the most important microbial group scientifically and commercially used. Lymphocytes are a common cellular model because they are well-characterized cells as far as culture conditions and growth factor requirements are concerned. They are relatively easy to obtain in an amount sufficient to run complex experiments and can easily undergo purification. A lymphocyte is usually obtained as a resting cell from peripheral blood, but it can be induced to enter the cell cycle, thus mimicking a naturally occurring activation process. Moreover the lymphocyte is suitable to study receptor-ligand interactions and ion fluxes across the cellular membrane: phenomena affected by (electromagnetic field) (EMF) effects. AHH1 cells, B-lymphocytes immortalized by Epstein Barr virus, were used to detect EMF effects on virus activity. Saccharomyces cerevisiae cell samples were used both to test pressure monitoring technique and detect the effect of physical (UV, blue light, magnetic fields) or chemicals (Amuchina®, trieline) contaminants, while lymphocytes and AHH1 samples were used to analyze both the growth and the metabolic responses under 50-Hz, 60-μT magnetic field exposure. The pressure monitoring technique can be completed with nuclear magnetic resonance (NMR) and near-IR analyses, which are useful to detect variation in culture medium composition. Possible effects of EMF interactions, and in particular human exposition effects to extremely low frequency magnetic fields (ELF-EMFs), generated by electricity distribution and use, is a subject of public interest. Many studies, both in vivo and in vitro, have been conducted to detect possible effects of EMF exposure on human health,1 2 3 4 5 6 7 8 9 10 11 12 13 14 even though the results obtained have often shown contradictions, difficulties of interpretation, and low reproducibility.15

Figure 1

Experimental setup.

017405j.1.jpg

2.

Materials and Methods

2.1.

Saccharomyces Cerevisiae

2.1.1.

UV radiation

We resuspended 80 mg of dehydrated S. cerevisiae yeast cells (Aboca) in 40 ml of deionized water. To minimize the formation of cell clusters, the cell suspension was aspirated with insulin needles into sterile syringe for 10 times 2 ml of 0.2 S. cerevisiae cell suspension have been transferred in a Petri dish: cells, disposed in a monolayer, were irradiated with an UV light lamp for 2 to 12 min. Samples were placed at a distance of 55 cm from the center of the lamp. During irradiation, the experimental environment is characterized by absolute darkness. Yeast cells were then resuspended in 2 α D glucose solution obtaining 4 ml of 0.1 yeast culture that has been used for metabolic tests. The S. cerevisiae control samples were transferred in Petri dishes and resuspended in 4 ml 2 α D glucose solution as irradiated samples, but were kept in darkness for the same time used to irradiate samples.

2.1.2.

Blue light

Saccharomyces cerevisiae samples were irradiated following the same method used for UV irradiation.

2.1.3.

Magnetic field

The 0.2 S. cerevisiae yeast cell suspension was divided in two subcultures: the former has been exposed to a magnetic field (50 Hz, 60 μT, in which coils were divided by a distance equal to their diameter) for 72 h, while the latter, the control culture, was not irradiated. After irradiation, 4 ml of each culture, collected in vessels and resuspended in 2 α D glucose minimum medium, were used for metabolic measurements in sealed bottles connected to a differential pressure digital sensor system.

2.1.4.

Amuchine

We used 4 ml S. cerevisiae samples with cells number/μl progressively decreasing (0.2 to 0.025) to test Amuchine pollution (disinfection) effects. Both control and polluted yeast cultures were incubated in the usual minimum medium with 2 α D glucose concentration.

2.2.

Lymphocytes

We obtained 12 ml of peripheral blood from healthy volunteers and collected it in heparinated tubes. Mononuclear cells were isolated by Histopaque-1077 (Sigma Diagnostic, Milan, Italy) and resuspended in 2 tissue culture flasks (irradiated and control) using 10 ml of RPMI 1640 medium with 15 fetal bovine serum (HyClone, Logan, Utah, USA), glutammine 1 and penicillin 1. An aliquot of 400 μl for each flask was counted, using both a Burker camera and a Coulter STKS, and cell numbers per microliter was recorded. Then both suspensions was incubated in a 5 CO 2 incubator at 37 °C and the irradiated culture was exposed to EMF. The irradiation system was maintained in the incubator. After 72 h, both control and irradiated cell cultures were counted as previously described. We used 4 ml of cell suspensions (irradiated and control), with replicas, for metabolic measurements in sealed bottles connected to a differential pressure sensor digital system. Cell number per microliter in the control and irradiated samples was determined at the end of metabolic test to check for culture growth. Control and irradiated lymphocyte growth, during both irradiation and metabolic test, were compared to data obtained in previous experiments16 17 18 in which control and irradiated samples had been cultured in a PHA medium (0.6 ml).

2.3.

AHH1 Cellular Line

AHH1 cells, B-lymphocytes immortalized by Epstein Barr virus, have been described as linfoblastoid and characterized by a large cytoplasm necessary to sustain an intense trascriptional activity.19 20 21 22 23 AHH1 cells are characterized by a cell division cycle of 20 to 30 h and, in culture, make clusters, but do not stick to the flask’s plastic walls. The virus genome, formed by a great number of episomes (up to some hundreds), remain in a latent form. Magnetic field exposures of Epstein Barr immortalized cell lines have been studied to detect a possible increase of the litic form as consequence of irradiation effects.24 Possible cells number reduction can be detected both by differences in control and irradiated AHH1 samples growth percentages and with metabolic tests. AHH1 cultures have been prepared starting from frozen samples containing 5×106 cells in a culture medium made of RPMI 1640, fetal bovine serum 10, glutammine 1, and DMSO 10. Defrosted AHH1 cells were used to prepare maintenance cell cultures with a cellular concentration of 300 cells/μl kept into a 5 CO 2 incubator at 37 °C. The exhausted culture medium was replaced every 48 h. A cell culture sample was transferred in a new flask containing 5 ml of fresh culture medium (made of RPMI 10, fetal bovine serum 10, glutammine 1) maintaining a cell concentration of 300 cells/μl.

AHH1 culture samples, coming from the same maintenance culture, were used to prepare two subcultures (200 cells/μl): the former was exposed to a magnetic field (2r, 50 Hz, 60 μT) for 72 h, while the latter, the control culture, was not irradiated. After 72 h, an aliquot of 400 μl for each flask was counted, using both a Burker camera and a Coulter STKS, and cell numbers per microleter was registered. We used 4 ml of cell suspensions (irradiated and control) for metabolic tests.

2.3.1.

Magnetic field sources

The exposure system consists in a pair of coils of about 140-mm diameter, in axial disposition, placed in two different configurations: in the first one with coils are separated by a distance equal to their diameter (2r field) and in the second one coils are placed in Helmoltz configuration: the distance is equal to their radius ( r field). In both configurations, the exposure system generates a linearly polarized, 50-Hz, 60-μT magnetic field: magnetic induction (peak value) ranges from 60 μT at the center to 58 μT at radial position corresponding to the outer edge of the flasks. In averaged irradiation, fields can be therefore considered reasonably constant in all the area occupied by cell cultures. Magnetic field measurement was performed using a calibrated ELF magnetic field detector for frequencies25 lower than 100 Hz. Saccharomyces and AHH1 samples were irradiated with a 2r, 50 Hz, 60 μT, while lymphocytes samples were irradiated with the magnetic field in both configurations. Using an inductive exposure system (coils), the primary component is the magnetic field. If such a field is static, no electric field will be present, however, if magnetic field varies with time, an induced electric field is produced according to Faraday’s law of induction. Another important physical issue is the control of thermal effects due to presence of electromagnetic field. Extremely low frequency electromagnetic fields (ELF-EMF) at the intensity used in most experiments, do not produce any appreciable thermal effect on the biological system as a result of the Joule effect.26 27 28

2.3.2.

UV and blue light sources

UV irradiation. Cells, disposed in a monolayer, were irradiated with an UV light lamp (λ=253 nm) for 2 to 12 min. Samples were placed at a distance of 55 cm from the center of the lamp.

Blue light irradiation. Yeast cells were irradiated with a 75-W Fotolight Krugg lamp, with a maximum wavelength emission at 480 nm, for 20 to 120 s at a distance of 4 cm from the lamp metal point.

2.4.

Metabolic Measurements

Irradiated and control samples were introduced in sealed bottles and the increase of pressure in the sealed vessel, due to CO 2 production, was measured by differential pressure sensors (Miteco AM5305DV and Motorola MPX2010GP), recording pressure differences as voltage changes: 1 mV=2.024 mbar (Miteco) and 1 mV=2.182 mbar (Motorola). A thermostatic bath maintains a uniform temperature during data acquisition: 33 °C for S. cerevisiae samples and 37 °C for both lymphocytes and AHH1 culture samples. Pressure data were saved on a computer by means of an acquisition board and then plotted by suitable software.16 17 18 Both yeast, lymphocytes and AHH1 samples yield differential pressure curves (Figs. 2 3 4 5). The spikes shown in Figs. 4 and 5 are artefacts due to sudden changes in laboratory atmosphere that are differently recorded by the set of sensors. Different cell cultures do not show the same differential pressure curve.

Figure 2

Differential pressure curve average of 12 samples of 0.2 S. cerevisiae in α D glucose 2 minimum medium.

017405j.2.jpg

Figure 3

Different metabolic phases in the differential pressure curve S. cerevisiae samples growth on minimum medium (α D glucose 2) as reported in Fig. 2.

017405j.3.jpg

Figure 4

Differential pressure curve yielded by a lymphocyte sample in a PHA medium.

017405j.4.jpg

Figure 5

Differential pressure curve average for AHH1 samples.

017405j.5.jpg

Figure 2 shows the differential pressure curve for an average of 12 samples of 0.2 S. cerevisiae grown in a α D glucose 2 minimum medium, whose shape, starting slope, and maximum are used to detect physical and chemical contamination. A biochemical interpretation of differential pressure curve was used to identify five phases (Fig. 3):

  1. (1) 0 to 5 h: the presence of a Crabtree effect enables only the fermentative pathway

  2. (2) 5 to 15 h: slowing down of fermentative pathway and start of oxidative respiration; presence of a Pasteur effect

  3. (3) 15 to 30 h: disappearance of Crabtree effect (13 h): increase in oxidative respiration and oxygen consumption; complete consumption of α D glucose.

  4. (4) 30 to 50 h: ethanol used as energy and carbon source by oxidative respiration; depression phase

  5. (5) 50 to 80 h: S. cerevisiae cells use cytoplasmic reserves of glycogen, with both fermentative and oxidative pathways, and finally trehalose.

Usually when α D glucose is given to cell suspension, after 80 h they follow the same metabolic curve: a slight reduction in starting slope and the curve maximum can be ascribed to variations both in cell vitality. A control test on cell number dynamics shows that no relevant alteration in cell number is present. Contaminants of chemical or physical nature can affect the different phases of α D glucose metabolism, inducing alteration both in shape, starting slope, and curve maximum.

3.

Results

3.1.

Saccharomyces Cerevisiae

3.1.1.

UV radiation

Figures 6 and 7 show the differential pressure curves yielded by 0.1 S. cerevisiae samples, growth in a α D glucose 2 minimum medium, after a progressively increasing irradiation time.

Figure 6

Differential pressure curves yielded by 0.1 S. cerevisiae samples after 2 to 12 min exposure to UV light.

017405j.6.jpg

Figure 7

Differential pressure curves yielded by 0.1 S. cerevisiae samples after 14 to 18 min exposure to UV light.

017405j.7.jpg

3.1.2.

Blue light

Figure 8 shows the differential pressure curves yielded by 0.1 S. cerevisiae samples, growth in a α D glucose 2 minimum medium, after a progressively increasing exposition to blue light (20-40-120 s).

Figure 8

Averages of the differential pressure curves yielded by 0.1 S. cerevisiae samples after 20-40-120 s blue light irradiation. Plot (b) shows a particular of plot (a).

017405j.8.jpg

3.1.3.

Magnetic field

The differential pressure curve (Fig. 2) can be used as a pattern in the study of magnetic field effects. Figure 9 shows a differential pressure curve for an average of six samples yielded by 0.2 S. cerevisiae samples irradiated for 72 h with a 2r, 50-Hz, 60-μT magnetic field.

Figure 9

Effects of 2r, 50-Hz, 60-μT magnetic field on the S. cerevisiae 0.2 differential pressure curve.

017405j.9.jpg

3.1.4.

Amuchine

Table 1 reports differential pressure curve maximums for both control samples and experimental samples containing growing percentages of Amuchine.

Table 1

Fluctuations of differential pressure curves maximum due to Amuchine percentage concentration increase.
Amuchine
Concentration
Curve Maximum
Yeast
0.2
Yeast
0.1
Yeast
0.05
Yeast
0.025
0 39.12 15.06 7.09 5.86
0.0625 2.5
0.125 38.16 7.94 1
0.25 37.03 15.06 4.15
0.5 31.08 9.71 0
1 0.93 2.78 0
1.5 0 0

Data reported in Table 1 are related to four different cellular concentrations: when cell numbers per microliter decreases, differences in differential pressure curves morphology, caused by the low concentration of the pollution factor, can be observed. The same differences are not seen using higher cellular concentrations. Figure 10 shows the variations of differential pressure curve maximums when different cellular concentrations are used with the same Amuchine concentration. Differential pressure technique can be used to identify CO 2 production, and indirectly metabolic activity, of small culture samples. In Fig. 11 the differential pressure curves are related to a sample of only 1000 cells. In such cases, large culture volumes must be used (100 ml).

Figure 10

Variations in the morphology of 0.1 and 0.05 S. cerevisiae differential pressure curves when culture medium contains 0.25 Amuchine.

017405j.10.jpg

Figure 11

Effects of 0.005 Amuchine (50 ppm) on the differential pressure curve yielded by a sample of only 1000 cells.

017405j.11.jpg

3.2.

Lymphocyte Cells

Many authors29 30 31 report that the exposure of cultured lymphocytes to an EMF does not modify the spontaneous proliferation rate ([3 H] thymidine incorporation). When mitogens, usually phytohemoagglutinin (PHA), are added, lymphocytes enter cell cycle and proliferate. One major reproducible finding from our laboratories is that the exposure to pulsed EMF (PEMF) is able to increase the number of proliferating cells. Table 2 reports cell number per microliter values for both irradiated and control cultures at the beginning and after 72 h irradiation with an r, 50-Hz, 60-μT magnetic field. Both cultures, grown in a culture medium without PHA, show negative values of growth percent.

Table 2

Cell count values at the beginning and after 72 h irradiation with an r, 50-Hz, 60-μT magnetic field when lymphocytes are resuspended in a culture medium in which PHA is absent.
Case Time 0 h Time 72 h Growth I–C
Contr. Irrad. Contr. Irrad. Contr. Irrad.
1 724 704 610 690 −15.7−1.9913.7
2 490 484 423 463 −13.7−4.49.3
3 564 590 526 551 −6.7−6.60.1
4 820 852 588 576 −28.3−32.4−4.1
5 1248 1168 900 840 −27.9−28.1−0.2
6 632 630 572 600 −9.5−4.84.7
7 980 988 864 776 −11.8−21.5−9.7
8 980 975 848 984 −13.51 14.5
9 650 700 708 684 8.9 −2.3−11.2
10 520 500 490 450 −5.8−10−4.2
11 840 830 759 796 −9.6−4.15.5
12 505 492 470 510 −6.93.7 10.6
13 853 860 776 775 −9−9.9−0.9
14 464 420 348 324 −25−22.92.1
15 532 536 372 372 −30.1−30.6−0.5
16 688 648 456 476 −33.7−26.57.2

Figure 12 shows the differential pressure curves yielded by two control and two irradiated lymphocytes samples, coming from the same donor, grown in a culture medium without PHA. Metabolic pressure curves were obtained by subtracting the culture’s pressure data due to CO 2 production for both experimental environment’s atmospheric pressure variations and pressure variations due to culture medium. Figure 13 shows the average of control and irradiated differential pressure curves yielded by lymphocyte samples resuspended in a culture medium without PHA after 72 h irradiation with a 50-Hz, 60-μT magnetic field in the Helmoltz configuration. The cell count values of control and irradiated lymphocytes samples when exposure system is used in a 2r configuration and culture medium is without PHA are reported in Table 3.

Figure 12

Differential pressure curves produced by control samples (dashed curve) and irradiated samples (solid curve) in case 3 of Table 2. Medium without PHA, r configuration.

017405j.12.jpg

Figure 13

Average of 12 control samples grown in a culture medium that does not contain PHA (solid curve) and average of 12 irradiated samples (dashed curve) for a medium without PHA in the r configuration.

017405j.13.jpg

Table 3

Cell count values (cell number per microliter) at the beginning and after 72 h irradiation with a 2r, 50-Hz, 60-μT magnetic field when the growing medium does not contain PHA.
Case Time 0 h Time 72 h Growth I–C
Contr. Irrad. Contr. Irrad. Contr. Irrad.
1 775 795 640 600 −17.4−24.5−7.1
2 620 600 532 520 −14.2−13.30.9
3 880 860 710 707 −19.3−17.81.5
4 970 944 902.5 796 −6.9−15.7−8.8
5 827 860 747 800 −9.7−72.7
6 336 348 332 316 −1.2−9.2−8
7 736 724 604 568 −17.9−21.5−3.6
8 468 462 468 452 0 −2.2−2.2
9 600 580 560 544 −6.7−6.20.5
10 846 830 748 700 −11.6−15.7−4.1
11 832 832 852 792 2.4 −4.8−7.2
12 880 836 628 640 −28.6−23.45.2
13 540 568 424 412 −21.5−27.5−6
14 928 880 596 596 −35.8−32.33.5
15 783 757 668 644 −14.7−14.9−0.2

Control and irradiated differential pressure curves yielded by lymphocyte samples resuspended in culture medium without PHA, when magnetic field is used in a 2r configuration are shown in Figs. 14 and 15.

Figure 14

Differential pressure curves produced by control samples (dashed curve) and irradiated samples (solid curve) in case 2 of Table 3. Both samples are grown in a culture medium without PHA in the 2r configuration.

017405j.14.jpg

Figure 15

Average of four control samples grown in a culture medium without PHA (solid curve) and average of four irradiated samples grown in a culture medium without PHA (dashed curve) with the 2r configuration.

017405j.15.jpg

Fluctuations in cell number per microliter in control and irradiated samples during metabolic test can be seen in Table 4. The averages of the differences between irradiated and control lymphocyte samples growth percentage (I1-C1, I2-C2, etc.) in both configurations are shown.

Table 4

Averages of the differences in growth percentage between irradiated and control samples during metabolic test after a 72 h exposure to a 50-Hz, 60-μT magnetic field.
Growth Difference I1-C1 I2-C2 I1-C2 I2-C1
r configuration −7±42±52±2−3±4
2r configuration 2±36±98±103±8

3.3.

AHH1 Cellular Line

Figure 16 shows the differential pressure curves yielded by the AHH1 control and irradiated samples and Fig. 17 shows the averages of the differential pressure curves yielded by 3 control and 3 irradiated AHH1 samples. Table 5 reports cell number per microliter values of both irradiated and control AHH1 cellular line cultures after 72 h irradiation with a 2r, 50-Hz, 60-μT magnetic field. Both cultures at time 0 h have 200 cells/μl.

Figure 16

Differential pressure curves yielded by an AHH1 control sample (dashed curve) and by an AHH1 irradiated sample (solid curve).

017405j.16.jpg

Figure 17

Differential pressure curve average of 3 AHH1 control samples (solid curve) and 3 AHH1 irradiated samples (dashed curve).

017405j.17.jpg

Table 5

AHH1 cell number per microliter in control and irradiated samples after 72 h irradiation with a 2r, 50-Hz, 60-μT magnetic field.
Case Time 72 h Growth I–C
Contr. Irrad. Contr. Irrad.
1 3130 2210 1465 1005 −460
2 3160 2970 1480 1385 −95
3 2860 2850 1330 1325 −5
4 2500 2510 1150 1155 5
5 3230 3240 1515 1520 5
6 3090 3150 1445 1475 30
7 2500 2600 1150 1200 50
8 2270 2990 1035 1395 360
9 2500 2720 1150 1260 110
10 2820 2630 1310 1215 −95
11 1820 1800 810 800 −10
12 1360 1790 580 795 215
13 2100 2000 950 900 −50
14 2060 1820 930 810 −120
15 2050 1960 925 880 −45
16 2270 2560 1035 1180 145
17 2280 2173 1040 987 −54

The appendix shows an IR qualitative analysis of control and irradiated culture mediums.

4.

Discussion

4.1.

Saccharomyces Cerevisiae

Effects of electromagnetic fields on microorganisms have bond been noted.28 29 30 31 32 33 34 Since then, a number of studies with a variety of different devices for generating magnetic fields have indicated the effects on growth of bacteria, yeasts, and protozoa either stimulatory or inhibitory.35 36 37 38

4.1.1.

UV radiation

Figures 6 and 7 show a progressive reduction of both differential pressure curves starting slope and curve maximum when irradiation time increases. The same behavior, both of curve maximum and of the starting slope, has been observed in differential pressure curves yielded by S. cerevisiae samples with progressively decreasing cellular concentrations. A reduction of differential pressure curve starting slopes, observed in irradiated samples when compared with control ones, can be explained by a smaller number of metabolically active cells.

Figure 18, obtained from maximum curve values, shows curve maximum reductions when UV irradiation time increases. Although maximum reductions seem follow a curve, this is a linear function (coefficient of linear correlation r=−0.97 with P>99.5 being part of a straight line). A further indication of progressive decrease of metabolic activity when UV irradiation time increases is given by α D glucose concentration analysis in culture medium of irradiated samples when the metabolic test stops (Fig. 19). The α D glucose concentration in culture medium increases when irradiation time increases: when cell numbers decrease, the culture’s ability to use glucose is reduced.

Figure 18

Curve maximum reduction during UV irradiation.

017405j.18.jpg

Figure 19

Increase of α D glucose concentration during UV irradiation.

017405j.19.jpg

4.1.2.

Blue light

Differential pressure curves shown in Fig. 8 are characterized by the same starting slope and, excluding the curve maximum, by a similar behavior during the metabolic test. There is no liner correlation between irradiation time and curve maximum. Error bars shown in Fig. 8 are not statistically significant, but the low number of samples (seven or eight) cannot exclude that increasing the number of irradiated samples for both the irradiated and control differential pressure curves laid one upon the others. If really present, cell damage as a consequence of culture exposure to blue light are light.

4.1.3.

Magnetic field

A 2r, 50-Hz, 60-μT magnetic field exposure does not yield macroscopic variations in α D glucose catabolism (Fig. 9). Both fermentative, oxidative processes, and ethanol consumption are unchanged.

4.1.4.

Amuchine

Differential pressure curves maximum fluctuation reported in Table 1, due to Amuchine percentage concentration increase, were used to create plots correlating maximum fluctuations with pollution factor increase. Different cellular concentrations show different curves (Fig. 20). As the figure shows, when the Amuchine concentration is increased, the curve maximum decrease is not a linear function. The curve’s morphology, representing maximum fluctuation as a function of Amuchine percentage concentration, changes when S. cerevisiae cell concentration decreases.

Figure 20

Curve maximum reduction when the Amuchine percentage is increased.

017405j.20.jpg

When cell number per microliter decreases, differences in differential pressure curve morphology, caused by low concentrations of the pollution factor, can be observed. The same differences are not seen using high cellular concentrations. According to Amuchine technical sheet,39 a concentration of 0.005 Amuchine (50 ppm Amuchine/l water) can sterilize water highly contaminated with 10.2 cells/ml bacteria. Note that 100 ml of S. cerevisiae culture containing 1000 yeast cells (10.2 cells/ml), α D glucose 2, and 0.005 Amuchine yielded a differential pressure curve, which does not show significant differences from the control curve. At this concentration, Amuchine does not sterilize a S. cerevisiae culture (Fig. 11).

4.2.

Lymphocyte Cells

The exposure to EMFs in industrial countries has created great concern. A number of sources of EMFs to which hu-mans are exposed, for occupational reasons or because of electromagnetic pollution, is very high. Several epidemiological studies indicate that EMF exposure may increase cancer incidence.40 41 42

These data are far from clear, as contradictory results have been reported. In addition, PEMF have been introduced recently into chemical practice for therapeutic purposes and very high magnetic fields are being used for diagnostic imaging. For these reasons, a careful investigation of possible genotoxic effects of EMFs is of fundamental importance.

Tables 2 and 3 show that during irradiation, with an r or 2r 50-Hz, 60-μT magnetic field, both control and irradiated cultures decrease when PHA is absent from the culture medium. Both cultures behave in the same manner: the average of the differences between irradiated and control lymphocytes samples growth percentage is 2±2 when the EMF is used in Helmoltz configuration and −2±1 when used in the 2r configuration. The same results can be observed during metabolic tests: in both configurations (r or 2r), when PHA is absent from the culture medium, control and irradiated samples decrease and the average of the differences between control and irradiated sample growth percentages is centered on zero (Table 4). A variation of the magnetic field’s configuration (r to 2r) does not seem to influence the behavior of lymphocyte samples grown in absence of PHA.

Control and irradiated differential pressure curves overlap. There are no significant differences between the average of the differential pressure curves yielded by irradiated samples when exposed to EMF in both configurations (Fig. 21). Independently of magnetic field configuration, the irradiated samples yield the same metabolic answer.

Figure 21

Differential pressure curves (solid curve) average of 12 samples irradiated with a r, 50-Hz, 60-μT magnetic field and (dashed curve) average of 8 irradiated samples with a 2r, 50-Hz, 60-μT magnetic field.

017405j.21.jpg

On the contrary, independent of exposure system configuration (r or 2r), the absence of significant differences between the averages of control and irradiated differential pressure curves, the presence of negative values of growth percentage during irradiation and positive values during metabolic tests suggest a greater metabolic activity in irradiated samples if compared with control samples when PHA is present in the culture medium.

Tables 6 and 7 show the averages of control and irradiated lymphocytes samples growth percentage both during irradiation and during metabolic tests when samples are irradiated with an r, 50-Hz, 60-μT magnetic field (Table 6) and with a 2r, 50-Hz, 60-μT magnetic field (Table 7). Independently from magnetic field configuration (r or 2r) during irradiation the growth percentage of both control and irradiated samples, cultured in a PHA medium, decrease more than that of samples grown in absence of PHA. During the metabolic test the situation reverses: the control and irradiated samples, grown in a PHA medium, show a growth percentage greater than that of lymphocytes samples grown in absence of PHA. The growth percentage shown by control and irradiated samples, both cultured in the presence and in the absence of a PHA, shows similar values independent of exposure system configuration (Tables 6 and 7). Data reported confirm the increase in proliferating cells number seen by Cadossi et al.;43 as increase in [3 H] thymidine incorporation in lymphocytes stimulated by PHA and irradiated with a pulsed elctromagnetic field. EMF radiation exerts a modulatory effect on lymphocyte activation even if it is unable to trigger lymphocyte entry into the cell cycle per se.

Table 6

Average of growth percentage shown by control and irradiated samples, grown both in the presence and the absence of PHA, during irradiation (with an r, 50-Hz, 60-μT magnetic field) and during metabolic test.
Irradiation Metabolic Test
C I C1 C2 I1 I2
With PHA −34±5−47±7171±25169±27226±37209±26
Without PHA −15±3−13±3−53±10−58±8−60±6−56±10

Table 7

Average of growth percentage shown by control and irradiated samples, grown both in the presence and the absence of PHA, during irradiation (with a 2r, 50-Hz, 60-μT magnetic field) and during metabolic test.
Average of Irradiation Average of Metabolic Test
C I C1 C2 I1 I2
With PHA −26±10−37±9102±46105±54172±71174±60
Without PHA −14±3−16±2−54±3−55±5−52±4−49±4

4.3.

AHH1 Cellular Line

Control and irradiated AHH1 samples show the same behavior (see Fig. 22). The average of the differences between irradiated and control AHH1 samples growth percentage is centered on zero. The average of cell number per microliter in the control samples is 2471±525 cellsl and in irradiated samples 2469±488 cellsl. A χ2 test confirmed the normal distribution of both control and irradiated AHH1 cellular populations (control samples: χ2=0.89, P=37; irradiated samples: χ2=2.5, P=11).

Figure 22

Normal distribution of control and irradiated AHH1 samples for (solid curve) control samples (in cell number per microliter) and (dashed curve) irradiated samples (cell number per microliter).

017405j.22.jpg

The averages of the differential pressure curves yielded by control and irradiated samples do not show significant differences (Fig. 17). Irradiated samples originate pressure data equal to control samples starting from the same cellular population. Both differential pressure curves and differences in growth percentage seem to show the absence of differences in cell number per microliter between control and irradiated AHH1 samples caused by an increase in the expression of the litic form of Epstein Barr virus.24 Small differences in the composition of the growing medium of control and irradiated samples, after 72 h irradiation with a 2r, 50-Hz, 60-μT magnetic field, can be observed with IR analyses, but the meaning is unknown (see Fig. 23).

Figure 23

Differences in FTIR spectra shown by culture medium of AHH1 control (on the left) and irradiated samples (on the right).

017405j.23.jpg

5.

Conclusions and Perspectives

The metabolic curves of S. cerevisiae cells provide a fast and accurate probe for the detection of pollution factors of both chemical and physical nature. Summarizing the obtained results: S. cerevisiae cultures show both a curve maximum and staring slope decrease when exposed to UV light and to Amuchine. Nothing can be said after an exposure to blue light. Magnetic field exposure of S. cerevisiae cells does not yield macroscopic variations in α D glucose catabolism. Irradiated lymphocytes samples, cultured in a PHA medium, grow less than control ones, but exhibit a greater metabolic activity: changes in the exposure system configuration influence neither sample growth differences nor metabolic response variations between control and irradiated samples. Control and irradiated lymphocyte samples, without PHA in the culture medium, show the same behavior during both irradiation and metabolic tests. Control and irradiated AHH1 samples show no difference in both growth percentage during irradiation and metabolic test. The proposed technique and experimental setup provide good statistics for all the performed tests. The same cell culture exhibits completely different responses to different investigation objectives as different chemical and physical consequences on living systems. Magnetic field exposition effects depend on both culture conditions (culture medium, temperature) and cellular type used. The pressure monitoring technique is fast, for a low time scale, is relatively noninvasive, and of low cost. It can be used for on site detection of chemical pollution and nuclear radiation mapping.

The proposed simple model points to the following conclusions:

  1. (1) A normal living system, being in stable steady state, does not change its state when exposed to electrical perturbations of reasonable magnitude.

  2. (2) The same perturbations may move a system from a pathological to a normal state i.e., from the charged to its reference state.

  3. (3) Very sensitive normal living systems in unstable steady states may be affected by weak perturbations and may become shifted to pathological states.44

6.

Appendix

An IR qualitative analysis was performed of control and irradiated culture mediums after a 72-h magnetic field exposure. Small differences in culture medium composition spectra are present in the regions around 5000, 1700, and 600 cm −1.

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Notes

Address all correspondence to Marziale Milani, University of Milan-Bicocca, Materials Science Department, via Cozzi 53, IT-20125 Milan, Italy. Tel: +39 02 64485175; Fax: +39 02 64485400; E-mail: Marziale.milani@mater.unimib.it

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)
Marziale Milani, Monica Ballerini, Lorenzo Ferraro, Matteo Zabeo, Massimo Barberis, Maria Cannone, and Venera Faraone "Contaminant effect on cellular metabolic differential pressure curves," Journal of Biomedical Optics 9(5), (1 September 2004). https://doi.org/10.1117/1.1782591
Published: 1 September 2004
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KEYWORDS
Magnetism

Glucose

Ultraviolet radiation

Yeast

Control systems

Electromagnetism

Sensors

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