TL neuro

May 19, 2025

SABV Practicalities and Unexamined Lab Lore

Filed under: alpha-PVP, Behavior, Cathinones, IVSA, SABV — mtaffe @ 5:53 pm

When the NIH’s policy requiring consideration of Sex as a Biological Variable (SABV) was first being discussed, those of us who run behavioral experiments in laboratory animals raised a fleet of…concerns. Objections. Complaints, even. Some of these related to the perceived need to double up on certain equipment or facilities to avoid the potential for the mere presence of one sex to alter the behavior of the other sex. This might include concerns about where animals of each sex were housed and where they were subjected to behavioral experiments.

An article by Dalla and colleagues (2024) titled “Practical solutions for including Sex As a Biological Variable (SABV) in preclinical neuropsychopharmacological research” caught my eye. The vast majority of it is described as “guidelines” and the piece advances an agenda of going far beyond the initial NIH policy. However, it does address interesting questions about behavioral research in section 4, which is titled “Behavioral experiments: logistical considerations and sex-specific behavioral readouts“. In bullet points 5 and 6 under this section the authors suggest that cleaning behavioral equipment “becomes particularly important” due to odors, and add that using different sets for each sex is “advised“. For this, they cite three papers in which mouse behavior is altered by the urine of the other sex. Then they cite three papers to support the claim that “Two exceptions are operant testing and food motivation tasks where reward/motivation factors overcome these effects“. Game on. Unfortunately, all three papers are in mice and they do not involve drug self-administration, only food motivated behavior. So it touches on exactly the issue I was discussing with my colleague many years ago, and yet it is disappointingly light on data that would inform the discussion.

Things that seem truthy and are supported only by a thin and only indirectly relevant literature (or just lab lore*), such as these observations can be obstacles. Obstacles in the way of the greater goal, which in this case is to get more researchers doing a better job of including both male and female subjects in their research. Where a better job might mean more consistent inclusion of both sexes, but also more consistent treatment, which in behavioral experiments means shared treatment. Running males and females at the same time of day. Running males and females in the same equipment, in the same room, using the same staff to conduct experiments. If we don’t do that, can we ever be sure that an apparent sex difference in behavior is not in fact due to one of the minor procedural differences that were logistically necessary to keep the animals from being influenced by the other sex? Maybe one room tends to be slightly draftier than the other. Or noisier. Or hotter. Maybe the undergraduate research assistant available at 9am differ in some way from the one that comes in to work at 3pm.

I had discussions years ago with a colleague, who is in the same approximate area as my work, and we concluded that in an ideal world the field would test some of these lab lore truths as it adapted itself to SABV. Knowing what was likely to make a difference, and the likely magnitude and consistency of those differences would allow the field to work better and smarter. And maybe even more efficiently.

I have several obvious logistical questions for our usual work in the lab.

Figure 1: Infusions obtained by male rats (N=7).

Such as, to make this brief, is it necessary to clean or separate the operant chambers used for intravenous self-administration (IVSA) experiments with male and female rats? Is it necessary to run them in different rooms? It is not all that unusual for a laboratory to use the same operant chamber to run more than one rat within a given day. This can be a logistic necessity due to limited space or equipment. These rats might be in the same study or they might be in different studies. Sure, we (most of us anyway) clean the chambers and refresh the bedding material in between each run but can we be absolutely SURE that there is no detectable smell of the animal in the chamber the prior run? Does the person running the rats need to change all of their clothes and PPE?

I decided to throw a tiny test of the hypothesis in the course of an ongoing study. We had both male and female rats doing stimulant drug IVSA, in this case involving initial training on either methamphetamine or alpha-PVP, the synthetic cathinone stimulant once called “flakka”. By the time we got around to this little test, they had about 60 prior sessions of IVSA including at least some experience with different doses of each drug. For this study we had two Pre-manipulation baseline sessions in which the rats were responding for infusions of alpha-PVP (0.05 mg/kg/infusion) in 1 hour sessions with a Fixed-Ratio 1 reward contingency (Figure 1). The key experiment was then to run a female rat IVSA session in the boxes prior to the males’ session without any cleaning or changing of the bedding in between the sessions. In this experiment, the number of infusions obtained after the females (After XX) was not significantly different from the baseline sessions. These data are very limited. And the eyeball test of the individual datapoints is slightly concerning. This may have failed to reach statistical significance but that is a very poor way to support a broad conclusion.

Figure 2: Infusions obtained by male rats (N=10).

So, about a year later I had the opportunity to conduct another, very similar test with another cohort of male rats. In this case they’d been trained on methamphetamine (MA) or alpha-PPP (an analog of alpha-PVP) alternating with MA IVSA, had experience with both drugs in subsequent experiments and were again run in about 60 sessions before this. As above, Figure 2 shows two Pre-manipulation baseline sessions in which the rats were responding for infusions of alpha-PVP (0.05 mg/kg/infusion) in 1 hour sessions with a Fixed-Ratio 1 reward contingency. And again the key manipulation was a session on which female rats were run in the chambers prior the males’ sessions. In this case, there was a statistically significant increase in the number of infusions obtained.

There are all kinds of caveats and limitations and this is by no means a real study yet. It can always be the case that a one-time probe like this does not generalize to repeated exposure, session after session. Perhaps we would see a difference in initial acquisition over the first 10-20 sessions, something that would be critical for some approaches and experimental questions. Perhaps this is relevant for some drugs, but not other drugs. Maybe it depends on rat strain or the infusion dose? Maybe it only pertains to short IVSA sessions. Etc.

I may never find a good time to investigate this properly. But this certainly is interesting. We may try to delve into this a bit better in future.

This little test also speaks to the supposed “replication crisis”. Here are studies conducted pretty similarly that led, formally speaking, to different outcomes. A failure to replicate. One takeaway is “there is a statistically significant difference” and the other takeaway is that it doesn’t matter if you run males after females. There are reasons to prioritize the second experiment, since the sample size was 10 instead of 7. But I think this falls far short of proof. Maybe we got “lucky” with the second experiment. Sure the two experiments were similar but the training drug in one leads to higher IVSA rates and the two drugs in the second experiment lead to lower rates. Maybe it was the relatively novel experience of the “good” drug, alpha-PVP, in the second group that led them to be vulnerable to the impact of the females.

Or maybe it was something about the females themselves in the two respective groups that produced the difference?

So many questions.


*These are received wisdoms (aka tips and tricks, etc) about how to do experiments properly that may not appear consistently in methods descriptions. Or at all. All kinds of laboratory procedures and research methods may be subject to truths about best approaches that are passed down in laboratories. They are, quite often, very valuable to anyone trying to conduct the experiments. Best approaches may vary between labs doing more or less the same research…or received wisdom may be generalized across essentially the entire subfield.

September 9, 2015

MDPV conditions a place preference in rats; but what about this CTA?

Filed under: Animal Models, Behavior, Cathinones, MDPV — mtaffe @ 10:44 am

A new paper presents what appear to be conflicting results about the rewarding properties of MDPV (“bathsalts”) in rats:

King HE, Wakeford A, Taylor W, Wetzell B, Rice KC, Riley AL. Sex differences in 3,4-methylenedioxypyrovalerone (MDPV)-induced taste avoidance and place preferences. Pharmacol Biochem Behav. 2015 Jul 26;137:16-22 [ PubMed ][ Publisher Link ]

King15-MDPV-CPPKing and colleagues have conducted a conditioning experiment in male and female Sprague-Dawley rats. In outline, place conditioning involves a two-compartment apparatus in which the two sides can be distinguished by tactile, visual and/or odor cues. Typically, a baseline session will be conducted in which the rat is allowed to roam around the entire apparatus (in this experiment for 15 min). The baseline amount of time spent on each side is then recorded. During the conditioning training, animals are injected with a drug (in this study 0.0, 1.8 or 3.2 mg/kg of MDPV, intraperitoneally) and confined in their non-preferred side of the apparatus for 30 min. On alternate days, all animals are injected with saline and confined to their initially-preferred side of the apparatus for 30 min. The key 15 min test, depicted in this graph, comes after 4 repetitions of each training session; the data are represented by the proportion of time spent on the drug-paired side. As you can see, the group of animals that received only saline injections on all eight days changed from the slightly less-preferring baseline test (~39% on the drug-paired side) to no-preference (~50% time spent on each side). In contrast, the groups that got active MDPV doses during active drug conditioning sessions increased the time spent on the drug-paired side (* depicts a significant difference from the 0 dose group on the post-conditioning test). These data are collapsed across the rat sex and the paper indicates that no sex differences were confirmed in the statistical analysis.

This is interpreted as a rewarding effect of MDPV at these doses.

So far so good.

There is a slightly less-intuitive finding in this paper as well.

King15-MDPV-CTAThe authors also conducted a taste-aversion study in the same animals. In a classic Conditioned Tasted Aversion study, rats are allowed to consume some food or fluid that they find palatable, such as saccharin-sweetened water. If the rats are given some treatment that makes them feel bad (such as an injection of lithium chloride) after consuming the highly-palatable food/fluid, they tend to avoid it on a subsequent re-test. In this King study, the investigators allowed the rats to consume saccharin solutions for 20 min just prior to receiving their MDPV injections for the above-described place preference assay. Pretty efficient design!

What you can see from this graph is that the male and female rats that only received saline injections after drinking saccharin (M0 and F0 groups) gradually consumed more saccharin prior to each of the three remaining active-drug conditioning sessions. In contrast, the groups that received MDPV consumed less saccharin solution. The stats symbols are a little complicated on this one so from the paper: [Panel A (males): *M0 significantly greater than M1.8 and M3.2; ^M0 significantly greater than all drug-treated groups; %M1.0 and M1.8 significantly greater than M3.2; #M3.2 significant decrease from Trial 1; αM3.2 significant decrease from Trial 2. Panel B (females); *F0 significantly greater than F1.8 and F3.2; ^F0 and F1.0 significantly greater than F3.2; #F1.0 significant increase from Trial 1.].

Wait, huh? This implies that the animals are expressing feeling bad because of MDPV (hence the Taste Aversion) and feeling good because of MDPV (the Place Preference).

At the same time and from the exact same doses, thanks to this efficient experimental design.

The answer to this conundrum lies in an older paper by Linda Parker.

Parker LA. Rewarding drugs produce taste avoidance, but not taste aversion. Neurosci Biobehav Rev. 1995 Spring;19(1):143-57. [ PubMed ]

Parker95-CTA-AversiveTasteReactionThis paper contrasted changes in sucrose preference induced by lithium chloride versus a number of abused drugs that are are reinforcing in self-administration and place preference assays such as amphetamine, cocaine, nicotine, morphine, etc. There were low/medium dose and high doses tested, I’m including only the high-dose graph here for simplicity but the takeaway message isn’t changed. As you can tell from this high-dose graph, all test drugs except morphine produced a significant reduction in sucrose drinking compared with the injection of saline (CTA). The key part of this study was that the rats were video taped for behavioral scoring by a reviewer blinded to drug treatment condition. Importantly, the rats were scored for Aversive Taste Reactions (ARs) to the drinking spouts / fluid taste. This included gaping, chin rubbing, paw pushing and letting fluid drip from the spout without consuming it. Lithium Chloride and nicotine were the only drugs that resulted in drug-injected rats expressing more ARs to the sucrose on the test day compared with the saline-injected rats. This implies, as the author underlined in discussion comments, that the mechanisms by which saccharin preference is reduced differs. Sometimes when a CTA is produced in a rat, it really is a reflection of the conditioning process making the rat find the saccharin taste unpleasant. Other times, the conditioning process doesn’t make the taste unpleasant, but rats certainly find it less pleasurable, reinforcing or rewarding.

In slightly different language, we might interpret this as meaning that the experience of the type of pleasurable experience caused by drugs of abuse can diminish the value of other stimuli or experiences that rats would otherwise find to be pleasurable.

This interpretation dovetails nicely with our prior paper in which rats were permitted to both self-administer MDPV intravenously and to run on an activity wheel [see blog post]. What we found was that as the rats initiate the consistent self-administration of MDPV, they decrease the amount of wheel activity that they engage in. That study was consistent with an earlier one we published showing that self-administration of methamphetamine also gradually decreases the amount rats will use the activity wheel [ see blog post ].

We interpret this phenomenon to reflect the drug stimulus devaluing the degree to to which a rat finds wheel activity rewarding.

As such, this gives us an animal model to further explore concepts that may explain why some individuals who use drugs regularly become addicted whereas some other individuals can cease drug use. The comparative value of other sources of reinforcement (social, family, vocational, recreational, etc) versus the drug experience may be a critical determinant of who will spiral into a compulsive drug use problem.

___
Additional reading: Hunt and Amit, 1987.

July 29, 2015

Modeling the preference for peers that you get high with

Filed under: Animal Models, Behavior, Cocaine, Neuroscience — mtaffe @ 1:02 pm

A new paper from Mark Smith and colleagues addresses whether drug exposure can differentially condition a preference for certain peers in a rat model.

Smith MA, Strickland JC, Bills SE, Lacy RT. The effects of a shared history of drug exposure on social choice. Behav Pharmacol. 2015 Apr 28. [Epub ahead of print]

The study focused on “choice” rat groups, one of which (N=16) was to receive cocaine injections and one of which (N=16) was to receive saline injections. The choice rats were then destined to have social interactions with a social peer rat that had received cocaine or a social rat that had received saline.

Smith15-RatPrefThe social choice apparatus is depicted in this figure from the paper. The choice rat is permitted to roam about the apparatus and choose proximity to one of two partner rats. A pre-conditioning test established the amount of time a given choice rat spent in proximity to each of the saline- or cocaine-treated partner rats.

The choice rats then underwent a total of 10 conditioning sessions in normal home cages. For these sessions, the choice rats would receive their cocaine or saline injections and then interact with a single partner rat for 30 min. On five of those sessions the partner rat was as cocaine treated animal and on the other five the partner was saline treated.

The critical post-conditioning preference test was then conducted.

A change in preference was expressed as the amount of time spent on the side of the apparatus containing each partner rat divided by the time spent with that partner during the pre-conditioning test. Two analyses were conducted, one just scoring time in each half of the apparatus and a second analysis scoring time spent in ~the front half of each side, i.e., in closer proximity to the partner. This made no difference in the results, including the fact that there was no change in the amount of time spent in this “neutral” or non-social zone after conditioning.

The takeaway message was that there was a significant increase in the amount of time spent with the similarly-treated partner when all choice rats were considered. However when the group analysis was conducted, only the cocaine-treated choice rats exhibited increased preference for the cocaine-treated partner. Saline-treated choice rats had no partner preference.

The takeaway message is that cocaine-treated rats prefer to hang out with other cocaine-treated rats. It wasn’t a general social-conditioning effect, since there was no differential effect on time spent in the non-social part of the apparatus.

There is one major caveat. The size of the effect was about an 8% increase in the time cocaine-treated choice rats spent with the cocaine-treated partner during the choice test. This amounted to about 49 seconds.

This is a limited initial finding but it obviously has promise for investigating social factors that enhance or diminish drug preferences, drug reward and the power of drug-related cues to shape behavior.

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