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The Minimum Alveolar Anesthetic Concentration of 2-, 3-, and 4-Alcohols and Ketones in Rats: Relevance to Anesthetic Mechanisms

Won, Albert MS*; Oh, Irene BS*; Liao, Mark BS*; Sonner, James M. MD*; Harris, R Adron PhD; Laster, Michael J. DVM*; Brosnan, Robert DVM, PhD*; Trudell, James R. PhD; Eger, Edmond I II MD*

doi: 10.1213/01.ane.0000204258.00676.98
Anesthetic Pharmacology: Research Report
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The Meyer-Overton hypothesis predicts that anesthetic potency correlates inversely with lipophilicity; e.g., MAC times the olive oil/gas partition coefficient equals a constant of approximately 1.82 ± 0.56 atm (mean ± sd) for conventional inhaled anesthetics. MAC is the minimum alveolar concentration of anesthetic required to eliminate movement in response to a noxious stimulus in 50% of subjects. In contrast to conventional inhaled anesthetics, MAC times the olive oil/gas partition coefficient for normal alcohols from methanol through octanol equals a constant one tenth as large as that for conventional inhaled anesthetics. The alcohol (C-OH) group causes a great affinity of alcohols to water, and the C-OH may tether the alcohol at the hydrophobic-hydrophilic interface where anesthetics are thought to act. We hypothesized that the position of the C-OH group determined potency, perhaps by governing the maximum extent to which the acyl portion of the molecule might extend into a hydrophobic phase. Using the same reasoning, we added studies of ketones with similar numbers of carbon atoms between the C=O group and the terminal methyl group. The results for both alcohols and ketones showed the predicted correlation, but the correlation was no better than that with carbon chain length regardless of the placement of the oxygen. The oil/gas partition coefficient predicted potency as well as, or better than, either chain length or oxygen placement. Hydrophilicity, as indicated by the saline/gas partition coefficient, also seemed to influence potency.

IMPLICATIONS: The position of the C-OH group of an alcohol or the C=O group of a ketone (that is, the length of the acyl carbon chain extending from the C-OH or C=O group) is not a better predictor of anesthetic potency than the total length of the carbon chain or the affinity of the alcohol or ketone to a lipid (olive oil) phase.

*From the Department of Anesthesia and Perioperative Care, University of California, San Francisco, California; †Institute for Cellular and Molecular Biology, University of Texas, Austin, Texas, and ‡Department of Anesthesia, Stanford University School of Medicine, Stanford, California

Accepted for publication December 22, 2005.

EIE is a paid consultant to Baxter Healthcare Corp., which donated the isoflurane used in these studies.

This work was supported in part by National Institutes of Health grants 1P01-GM47818 and 2R01-AA013378 (to JRT).

Address correspondence and reprint requests to Dr. Edmond I. Eger II, Department of Anesthesia, S-455, University of California, San Francisco, CA 94143-0464. Address e-mail to egere@anesthesia.ucsf.edu.

From 1900 until the 1970s–1980s, the Meyer-Overton hypothesis (1,2) dominated thinking concerning theories of narcosis. The Meyer-Overton hypothesis suggests that affinity for a lipid-like phase determines anesthetic potency and predicts that the product of some measure of lipophilicity (e.g., the lipid/gas partition coefficient) and some measure of anesthetic potency (e.g., MAC) equals a constant. MAC is the minimum alveolar concentration of anesthetic required to eliminate movement in response to a noxious stimulus in 50% of subjects. For conventional anesthetics, the olive oil/gas partition coefficient times MAC in rats equals 1.82 ± 0.56 atm (3).

The correlation of potency with lipophilicity suggested that anesthetics acted by an effect on a lipid-like site, perhaps a site within the membrane bilayer of neurons. A sea-change in thinking occurred in the 1970s and 1980s, largely because of the arguments by White et al. (4–7) and by Franks and Lieb (8,9) that an effect of anesthetics on a hydrophobic portion of proteins, perhaps receptors, could equally explain the correlation of potency and lipophilicity. This focus on proteins (e.g., ligand-gated or voltage-gated channels) continues to the present.

An additional factor led to an abandonment of purely lipid-based theories of narcosis. Certain lipophilic inhaled compounds were found to be far less potent than their lipophilicity would predict, which conflicted with the Meyer-Overton hypothesis. Indeed, some such compounds (the so-called nonimmobilizers) do not produce anesthesia (i.e., do not cause immobility) by themselves and do not add to the immobilization produced by known anesthetics (10–12). A low affinity to water (i.e., saline/gas partition coefficients usually <0.02) distinguishes these compounds from conventional anesthetics, and this “nonpolarity” has been suggested to explain their inability to produce anesthesia (13–16): Their nonpolar nature suggests that they cannot influence events at interfaces because they cannot achieve sufficient interfacial concentrations. At the other end of the spectrum, alcohols have potencies greater than might be predicted from the Meyer-Overton hypothesis by their lipophilicities (17,18). Alcohols have large saline/gas partition coefficients.

These relationships suggest that the inhaled anesthetic site of action has both aqueous (polar) and lipid-like (nonpolar) (i.e., amphipathic) characteristics (1821). Anesthesia requires that the anesthetic molecule have affinities for both phases. One might argue that the Meyer-Overton hypothesis, modified to accommodate the additional importance of hydrophilicity, has not been disproven (20). Cantor (22,23) proposes that anesthetics may act in phospholipid bilayers by distorting the lateral pressure in such bilayers. This might be particularly important at the membrane-water or membrane-protein interface. In support of this notion, long-chained polyhydric alcohols, compounds too long and large to fit completely into a protein “pocket”—and in carbon length far beyond what is thought to be a cutoff for alcohol potency—still can produce anesthesia (or partial anesthesia) in tadpoles (24). In the case of a sterically constrained binding site in a protein, these long molecules would fill the binding site and the remainder would “dangle” into the surrounding lipid or water phase. In contrast, long polyhydroxy molecules could be fully accommodated within the phospholipid-water interface of a membrane (24).

Among many others, three general mechanisms have been considered for the production of anesthesia by alcohols: binding in a water-filled cavity in proteins, binding at the water-lipid or protein-lipid interface of membranes, and partitioning into bulk lipid (25). In proteins, the hydroxyl group of the alcohol could anchor to the protein binding site by hydrogen bonding with a serine or threonine, and the carbon tail could interact with hydrophobic amino acids (26). An analogous mechanism could occur at the membrane interface where the polar headgroups of phospholipids could anchor to hydroxyl groups and the carbon chain could interact with the acyl chains. Both of these mechanisms predict that the number of carbons attached to the C-OH group rather than the total number of carbons would determine the potency of the alcohol. In contrast, solubility in bulk lipid would depend more on the total number of carbons and would not depend strongly on the position of the hydroxyl group. This lipid solubility can be measured experimentally as the olive oil/gas partition coefficient.

To address these possibilities, we measured the effect of C(???)OH placement in various alcohols and also the C=O group in ketones (which should act similarly to the C–OH) on the potency of those alcohols and ketones as defined by MAC. We proposed that the length of the carbon chain extending from the C(???)OH and C=O group, rather than the total carbon chain length, would define potency. For example, we hypothesized that 2-pentanol (CH3CH2CH2CHOHCH3) would have a potency closer to 1-butanol (CH3CH2CH2CH2OH) than to 1-pentanol (CH3CH2CH2CH2CH2OH).

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Methods

With approval of the Committee on Animal Research of the University of CA, San Francisco, we studied 352 male specific-pathogen-free, Sprague-Dawley rats (Crl:CD(SD)BR) weighing 300–450 g obtained from Charles River Laboratories (Hollister, CA). These rats separately received various alcohols and ketones intraperitoneally, diluted in saline or olive oil. Data from additional rats given n-alcohols and reported previously (17,27) were added to the data gathered for the compounds tested in the present study. Each animal was caged with up to as many as two additional rats, and all had continuous access to standard rat chow and tap water before study. We studied eight alcohols and seven ketones (Table 1).

Table 1

Table 1

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Determination of MAC of Alcohols and Ketones

Alcohols and ketones having four carbons [2-butanol and 2-butanone] were dissolved in saline, and a 10% solution was injected as two equal injections made 5 min apart. The remaining alcohols and ketones were dissolved in olive oil (2%–10%), and each of those solutions was injected intraperitoneally as two equal injections made 5 min apart.

One to four rats were prepared for each study. Immediately after injection of the test compound, we placed each rat in an individual plastic cylinder to which we delivered oxygen at a flow rate of 1 L/min/rat. We monitored temperature by a rectal probe and maintained temperature between 37°C and 39°C by application of heat.

At 40 min after the last alcohol or ketone injection, we stimulated the rat's tail by applying and moving an alligator clamp for up to 1 min and observing the rat for movement of an extremity or the head. Forty minutes was selected by trial and error in our previous studies of n-alcohols (17), and fortunately seems to be the time of peak concentration in the rat brain after intraperitoneal injection of ethanol (28). If no movement occurred, we made an incision in the abdomen to permit withdrawal of approximately 10 mL of blood from the aorta into a heparinized 10-mL syringe. If movement occurred, we administered isoflurane (1%–2%) in 1 L/min of oxygen to achieve anesthesia (lack of movement) and then obtained the blood sample. This sample was transferred to a 50-mL glass syringe.

To determine the partial pressure of the alcohol or ketone in aortic blood, we added 20–25 mL of air to the syringe and equilibrated the contents for 60 min in an incubator at 37°C. The gas phase was analyzed by gas chromatography for alcohol or ketone (see below), using primary volumetric standards. Because of the great solubility of alcohols and ketones in blood, this gas phase value immediately indicated the partial pressure in blood.

We applied a logistic regression analysis to the resulting data (29). Each rat supplied two values: the response (movement or no movement) and the associated alcohol or ketone partial pressure. The logistic regression analysis supplied a value for the partial pressure producing absence of movement in 50% of rats (the EC50) and the variance (standard error) about this value. We define this EC50 as MAC.

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Correction of the MAC for Alcohols from Its Ketone Metabolite Contribution

In the studies of the MAC of the 2-, 3-, and 4-alcohols, a large contaminant peak appeared before the alcohol peak. The retention time of this peak indicated that it was the ketone metabolite of the alcohol. As might be expected from zero-order kinetics for the metabolism of alcohol, the ketone peak did not vary appreciably as a function of the concentration of the alcohol. That is, the ketone concentration was essentially constant. As indicated by our studies of the MAC of the ketones, the ketone metabolite contributed to the MAC produced by the parent alcohol. Assuming additivity, we corrected the alcohol MAC for the ketone metabolite contribution. We also determined that corresponding aldehydes did not result from the metabolism of the n-alcohols.

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Measurement of the Solubilities of Alcohols and Ketones in Saline and Olive Oil

The test alcohols and ketones are highly soluble in olive oil, making it difficult to measure concentration in the solvent phase by extraction. Accordingly, for all but the least soluble alcohols, we added a small aliquot of alcohol or ketone to an aliquot of each of the solvents to derive a calculated solvent concentration. That is, knowing (or measuring) the density of each alcohol and ketone, we calculated the concentration of the alcohol in the solvent (CS). Approximately (because of the enormous solubility of these compounds in lipid-like material, the exact amount does not matter) 10 mL of the combination of alcohol or ketone and solvent was placed in 50-mL syringes, 30 mL of air was added, and the mixture was equilibrated at 37°C for at least 1 h in an incubator. After this time, the gas phase was analyzed for the concentration of the alcohol or ketone (CG). The solvent/gas partition coefficient was calculated as CS/CG.

The same method was applied to the determination of the saline/gas partition coefficients for the lower molecular weight alcohols and ketones. For larger alcohols and ketones, the saline/gas partition coefficient was determined using a modification of techniques described previously (30).

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Gas Chromatographic Analysis

We used a Gow-Mac 580 or 750 flame ionization detector gas chromatograph (Gow-Mac Instrument Corp., Bridgewater, NJ). The 4.6- or 9.2-m, 0.22-cm (id) column was packed with carbowax. Column temperature was adjusted to give reasonable (5–15 min) retention times. The detector was maintained at temperatures 30–50°C warmer than the column. The carrier flow was nitrogen. The detector received 36–45 mL/min hydrogen and 200–300 mL/min air.

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Results

Tables 1–4 provide data from our current studies and from our previously published studies for the n-alcohols from ethanol to octanol (17). Table 1 provides some physical properties and the sources of the tested alcohols and ketones. Table 2 provides the saline/gas and oil/gas solubilities for the test compounds. Table 3 provides MAC values and the product values (of the oil/gas partition coefficient times the MAC) for the tested ketone compounds. Table 4 provides two MAC values (one for before the correction and one for after the correction) and the product values (of the oil/gas partition coefficient times the corrected MAC) for the tested alcohol compounds. For the product of MAC times the olive oil/gas partition coefficient, the alcohols and ketones disobeyed the Meyer-Overton hypothesis. The ketones were slightly less than twice as potent as might be predicted from their oil/gas partition coefficients (Table 3), whereas the alcohols were approximately 10 times more potent than expected using comparison values obtained previously for conventional anesthetics (Table 4). MAC for both ketones and alcohols correlated inversely with the largest number of carbons from the oxygen (Fig. 1), the number of carbons (Fig. 2), and the oil/gas partition coefficient (Fig. 3). In all such correlations, the values for ketones lay above the values for the alcohols.

Table 2

Table 2

Table 3

Table 3

Table 4

Table 4

Figure 1

Figure 1

Figure 2

Figure 2

Figure 3

Figure 3

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Discussion

As we proposed, the point of attachment of the oxygen in the alcohols considerably influenced potency (Table 4). For example, MAC for 2-pentanol is close to that of 1-butanol; MAC for 2-hexanol is close to that of 1-pentanol. However, this relationship does not apply to the ketones (Table 3). For example, MAC for 3-hexanone is half that of 2-pentanone; MAC for 4-octanone is one-third that of 2-hexanone.

We had anticipated that potency might best correlate with the length of the longest carbon chain that extends from the point of oxygen attachment for either the alcohols or the ketones. We envisioned that the oxygen tethered the molecule at an interface between the hydrophobic and aqueous portions of the site of anesthetic action and that the extent of the intrusion of the carbon chain into the hydrophobic portion might determine potency (31). Indeed, there is a reasonable correlation for the alcohols and separately for the ketones (Fig. 1). However, the correlation is no better than the correlation simply with the total length of the carbon chain, regardless of placement of the oxygen (Fig. 2). The only advantage of the correlation seen in Figure 1 is that it brings the ketone and alcohol values closer together. Finally, neither of the preceding correlations improves on the correlation between potency (MAC) and lipophilicity (the oil/gas partition coefficient) (Fig. 3). The increase in potency for both the alcohols and ketones with increasing chain length and lipophilicity has been seen in many studies of series of halogenated and unhalogenated hydrocarbons (17,18,32,33).

One limitation to our argument—that the longer carbon chain that extends from the C-OH group determines potency—is the failure to account for the effect of the residual shorter chain. The shorter chain might contribute to potency in an uncertain manner, and might increasingly become a factor as it lengthens (i.e., it might become more important in 3-heptanol than in 2-heptanol).

Although the correlation proposed by Meyer (1) and Overton (2) applies separately to the ketones and alcohols (Fig. 3), the ketone correlation lies above that for the alcohols. As suggested previously, hydrophilicity as well as lipophilicity influence potency (13,14,18,19,21,34–36). The saline/gas partition coefficients for the ketones are approximately a fifth as great as for alcohols with the same chain length and attachment of oxygen (Table 2). Perhaps this explains the position of the data for ketones versus alcohols (Figs. 1–3). However, Janoff et al. (37) might remind us that we used a solvent (olive oil) that may inadequately represent the site of anesthetic action; they might argue that phosphatidylcholine bilayers present a better model for alcohols, conventional inhaled anesthetics, and various injected anesthetics, including barbiturates.

Whereas they have essentially identical molecular weights and volumes, the key difference between the alcohols and ketones in Figure 3 is that the alcohols can both donate and accept hydrogen bonds, whereas ketones can only accept them. The greater potency of the alcohols suggests the importance of hydrogen bond donation by the alcohols. This conclusion is supported by previous studies predicting that an anesthetic binding site should accept a hydrogen bond about as well as water (21).

Additional support for the importance of hydrogen bonds is provided by the boiling point data in Table 1. The boiling point of the primary alcohols is 10ºC–20ºC higher than the corresponding secondary or tertiary alcohols. Elevation of boiling points provides strong evidence for inter-molecular hydrogen bonds (38). For the alcohols in Table 1, the primary alcohols are clearly able to form stronger intermolecular bonds. We tested the possibility that hydrogen bonding is important for MAC by graphing separately primary and secondary/tertiary alcohols versus MAC. The primary alcohols are statistically more potent than the secondary/tertiary alcohols and the regression lines separate into two parallel graphs.

Several of the test alcohols used in the present study (those having the C-OH group on a carbon other than a terminal carbon) have chiral centers. We tested the anesthetic effect of racemic mixtures of such alcohols. Thus, it might be possible that differences between the isomers might confound the implications of our findings to our hypotheses. However, we also have tested the differences in MAC of the isomers (unpublished data) and find but limited differences (at most a doubling) in MAC. We argue that because such differences are limited, they should not compromise our interpretations of the data.

We conclude that our results seem to be most consistent with a bulk lipid-partitioning model and show that the ability to donate a hydrogen bond increases potency. Our data do not support a simple model in which the polar group is anchored at a protein-lipid or water-lipid interface and controls the extension of the alkane chain into a site of defined size. However, the differences in correlation coefficients are too small to exclude either a protein site model or a membrane surface model.

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