Suchergebnisse

Abstract

Aims
A physiologically based pharmacokinetic (PBPK) modeling approach was used to simulate the concentration-time profile of ethanol (EtOH) in stomach, duodenum, plasma and other tissues upon consumption of beer and whiskey under fasted and fed conditions.


Methods
A full PBPK model was developed for EtOH using the advanced dissolution, absorption and metabolism (ADAM) model fully integrated into the Simcyp Simulator® 15 (Simcyp Ltd., Sheffield, UK). The prediction performance of the developed model was verified and the EtOH concentration-time profile in different organs was predicted.


Results
Simcyp simulation showed ≤ 2-fold difference in values of EtOH area under the concentration-time curve (AUC) in stomach and duodenum as compared to the observed values. Moreover, the simulated EtOH maximum concentration (Cmax), time to reach Cmax (Tmax) and AUC in plasma were comparable to the observed values. We showed that liver is exposed to the highest EtOH concentration, faster than other organs (Cmax = 839.50 mg/L and Tmax = 0.53 h), while brain exposure of EtOH (AUC = 1139.43 mg·h/L) is the highest among all other organs. Sensitivity analyses (SAs) showed direct proportion of EtOH rate and extent of absorption with administered EtOH dose and inverse relationship with gastric emptying time (GE) and steady-state volume of distribution (Vss).


Conclusions
The current PBPK model approach might help with designing in vitro experiments in the area of alcohol organ damage or alcohol-drug interaction studies.

Abstract

Aims
Readmission is frequent among patients with cirrhosis and is a complex multifactorial process. To examine the association of alcohol use disorder (AUD) and risk of readmission in patients with alcohol-associated cirrhosis.


Methods and Results
National Readmission Dataset (2016–2017) was used to extract a retrospective cohort of 53,348 patients with primary or secondary discharge diagnosis code of alcohol-associated cirrhosis with their first admission (26,674 patients with vs. propensity matched 26,674 without a primary or secondary discharge diagnosis code of AUD). Readmission within 30-day was lower (43.9 vs. 48%, P < 0.001) among patients identified to have AUD at the time of discharge. In a conditional logistic regression model, a diagnosis of AUD was associated with 15% reduced odds of 30-day readmission, 0.85 (0.83–0.88). Furthermore, the reason for readmission among patients identified vs. not identified to have AUD was less likely to be liver disease complication. The findings remained similar in a matched cohort of patients where the AUD diagnosis at discharge was listed as one of the secondary diagnoses only.


Conclusion
Although, our study findings suggest that identification of AUD at the time of discharge among patients hospitalized for alcohol-associated cirrhosis reduces the risk of 30-day readmission, unavailable information on patient counseling, referral for mental health specialist and treatment received for AUD limit the causality assessment. Future studies are needed overcoming the inherent limitations of the database to establish the role of identification and treatment of AUD in reducing readmission and liver decompensation in patients with alcohol-associated cirrhosis.

Abstract

Aims
The microbiome is a critical factor in health throughout human development. The aims of this scoping review are to (i) elucidate the differences between the youth (post-natal day 21–65 for rodents, 2–7 years for non-human primates, and 10–25 years for humans) microbiome with other life stages and (ii) identify youth-specific microbial changes associated with substance use.


Methods
Peer-reviewed studies published up to May 2023 were identified in PubMed and SCOPUS and included gut and oral microbiome studies from rodents, non-human primates, and humans (N = 1733). Twenty-six articles were determined eligible based on inclusion criteria (aim 1: n = 19, aim 2: n = 7).


Results
The adolescent and young adult oral and gut microbiomes are distinct compared to other life stages, within both non-human and human models. While there is limited research in this area, the microbiome appears to be vulnerable to substance use exposure earlier in life, including substances commonly initiated and escalated during adolescence and young adulthood (i.e. alcohol, cannabis, and tobacco).


Conclusions
Studies across the lifespan indicate that adolescence and young adulthood are distinct periods of development, where the microbiome is sensitive to exposures, including substance use. There is a need for more studies focused on the adolescent and young adult microbiome and substance use, as well as focused on the oral microbiome during this developmental period. Understanding the gut and oral microbiome during adolescence and young adulthood may provide insight into the pathophysiology of substance use disorders.