Effects of Nicotine on Alcohol Drinking in Female Mice Selectively Bred for High or Low Alcohol Preference

Weera, Marcus M.; Fields, Molly A.; Tapp, Danielle N.; Grahame, Nicholas J.; Chester, Julia A.

doi:10.1111/acer.13555

Cited by 6 publications

(4 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rats selectively bred for alcohol preference (alcohol‐preferring [P] rats) self‐administered more nicotine than non‐preferring (NP) rats and exhibited greater nicotine drug seeking 73 . Similarly, nicotine differentially affected alcohol intake in the high‐ and low‐alcohol‐preferring (HAP and LAP, respectively) mice 34 . In Experiment 4, we investigated whether the two replicate HDID lines of mice would differ from their founder line in nicotine intake.…”

Section: Discussionmentioning

confidence: 99%

“…73 Similarly, nicotine differentially affected alcohol intake in the highand low-alcohol-preferring (HAP and LAP, respectively) mice. 34 In Experiment 4, we investigated whether the two replicate HDID lines of mice would differ from their founder line in nicotine intake. We observed that HDID-2 mice, but not HDID-1 mice, drank more nicotine from the 70 μg/ml solution than the HS/NPT line during both daily 2-h sessions and the final 4-h access period, similar to the effects observed with morphine intake.…”

Section: Discussionmentioning

confidence: 99%

“…These drugs were selected because each has high addiction potential in clinical populations, they are ingested orally by mice [23][24][25][26] and oral ingestion of these drugs has been shown to be reinforcing. [27][28][29][30] Further, the use of each of these drugs has demonstrated potentiation of alcohol intake, [31][32][33][34] and the use of these drugs has been shown to be potentiated by an alcohol drinking history. 35 The DID model was selected to evaluate intake of these drugs as it was the drinking paradigm that was used in the selective breeding of these mice.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Midazolam, methamphetamine, morphine and nicotine intake in high‐drinking‐in‐the‐dark mice

et al. 2022

View full text Add to dashboard Cite

The high-drinking-in-the-dark (HDID) lines of mice were selectively bred for achieving high blood alcohol levels in the drinking-in-the-dark (DID) task and have served as a unique genetic risk model for binge-like alcohol intake. However, little is known about their willingness to consume other addictive drugs. Here, we examined (a) whether the HDID-1 and HDID-2 lines of mice would voluntarily consume midazolam, methamphetamine, morphine and nicotine in a DID test and (b) whether the HDID lines differ from their founders, heterogeneous stock/Northport (HS/NPT), in consumption levels of these drugs at the concentrations tested. Separate groups of HDID-1, HDID-2 and HS/NPT mice were given 4 days of access to each drug, using the single-bottle, limited-access DID paradigm. Male and female mice of both HDID lines consumed all four offered drugs. We observed no genotype differences in 40 μg/ml methamphetamine intake, but significant differences in nicotine, midazolam and morphine intake. Both HDID lines drank significantly more (150 μg/ml) midazolam than their founders, providing strong support for a shared genetic contribution to binge ethanol and midazolam intake. HDID-2 mice, but not HDID-1 mice, consumed more morphine (700 μg/ml) and more nicotine across a range of concentrations than HS/NPT mice. These results demonstrate that the HDID mice can be utilized for tests of voluntary drug consumption other than ethanol and highlight potentially important differences between HDID lines in risk for elevated drug intake.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Midazolam, methamphetamine, morphine and nicotine intake in high‐drinking‐in‐the‐dark mice

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Naltrexone has also proven to be efficient in the treatment of pathological gambling [54,55]. A partial nicotine agonist or even nicotine used for nicotine dependence has been used successfully in AUD [56], and methadone (an opioid agonist) has shown efficacy in reducing cocaine abuse among opioid-dependent patients [57]. The theory of addiction as a substance-independent disease is further supported by the perception that people recovering from a given substance commonly tend to change to another substance (e.g., from opiates to cocaine, alcohol, gambling) before successfully recovering from addiction [58].…”

Section: Reward Deficiency Syndrome Index (Rdsi) and Geneticsmentioning

confidence: 99%

Genetic Addiction Risk and Psychological Profiling Analyses for “Preaddiction” Severity Index

Blum

Han

Bowirrat

et al. 2022

JPM

View full text Add to dashboard Cite

Since 1990, when our laboratory published the association of the DRD2 Taq A1 allele and severe alcoholism in JAMA, there has been an explosion of genetic candidate association studies, including genome-wide association studies (GWAS). To develop an accurate test to help identify those at risk for at least alcohol use disorder (AUD), a subset of reward deficiency syndrome (RDS), Blum’s group developed the genetic addiction risk severity (GARS) test, consisting of ten genes and eleven associated risk alleles. In order to statistically validate the selection of these risk alleles measured by GARS, we applied strict analysis to studies that investigated the association of each polymorphism with AUD or AUD-related conditions, including pain and even bariatric surgery, as a predictor of severe vulnerability to unwanted addictive behaviors, published since 1990 until now. This analysis calculated the Hardy–Weinberg Equilibrium of each polymorphism in cases and controls. Pearson’s χ2 test or Fisher’s exact test was applied to compare the gender, genotype, and allele distribution if available. The statistical analyses found the OR, 95% CI for OR, and the post risk for 8% estimation of the population’s alcoholism prevalence revealed a significant detection. Prior to these results, the United States and European patents on a ten gene panel and eleven risk alleles have been issued. In the face of the new construct of the “preaddiction” model, similar to “prediabetes”, the genetic addiction risk analysis might provide one solution missing in the treatment and prevention of the neurological disorder known as RDS.

show abstract

Genetic addiction risk analysis for “preaddiction” severity index (PAI): A neurobiological behavioral octopus

Blum,

Han,

Bowirrat

et al. 2024

A Review on Diverse Neurological Disorders

View full text Add to dashboard Cite

Effects of Nicotine on Alcohol Drinking in Female Mice Selectively Bred for High or Low Alcohol Preference

Cited by 6 publications

References 65 publications

Midazolam, methamphetamine, morphine and nicotine intake in high‐drinking‐in‐the‐dark mice

Midazolam, methamphetamine, morphine and nicotine intake in high‐drinking‐in‐the‐dark mice

Genetic Addiction Risk and Psychological Profiling Analyses for “Preaddiction” Severity Index

Genetic addiction risk analysis for “preaddiction” severity index (PAI): A neurobiological behavioral octopus

Contact Info

Product

Resources

About