Alan Posner
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Alan Posner has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Kenneth Blum
Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 40700, Israel
2 shared publications - Panayotis K. Thanos
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions (BNNLA), Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY 14203, USA
2 shared publications - Albert Pinhasov
Department of Molecular Biology, Adelson School of Medicine, Ariel University, Ariel 4070000, Israel
1 shared publication - Alireza Sharafshah
Post-graduate Program in Neurology, Federal University of the State of Rio de Janeiro, Rio de Janeiro, Brazil
1 shared publication - Anungoo Altankhuyag
Behavioral Neuropharmacology and Neuroimaging Laboratory on Addictions, Clinical Research Institute on Addictions, Department of Pharmacology and Toxicology, Jacob School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY 14068, USA
1 shared publication - Ashley Bernotas
Kaleida Health Weight Management Center, Buffalo, NY 14203, USA
1 shared publication
Latest Publications
- Open Access
- 10 April 2026
- Published by MDPI AG in Biomedicines
- Vol. 14 (4) , 870
A Personalized Medicine Approach: Psychosocial and Genetic Risk Assessments Predictors of Bariatric Surgery Outcomes After 3 Years
Background: This study aimed to further explore the application of genetic risk assessments in 24 metabolic bariatric surgery (MBS) patients to predict weight loss outcomes three years after the procedure. Methods: Participants were assessed using the Genetic Addiction Risk Severity (GARS) test, which evaluates neurogenic polymorphisms linked to addiction and reward deficiency. Genetic and psychosocial data collected prior to surgery were analyzed in relation to post-operative weight loss measures, including weight change, body mass index (BMI), percentage of total weight loss (%TWL), and percentage of expected weight loss (%EWL). The analysis examined associations between specific genetic risk alleles, weight-related outcomes at three to four years post-surgery, and psychosocial trait scores. Results: Spearman’s correlations revealed that the DRD2 risk allele is negatively correlated with 3-year BMI (rs = −0.481, p < 0.05, 95% CI: –0.746 to –0.083). One-way ANOVA indicated that there is a significant difference in 3-year BMI (p = 0.018) between 0 and 1 DRD2 risk allele copy. There is also a significant difference in ∆weight (p = 0.022), ∆BMI (p = 0.014), and %EWL (p = 0.032) among the different SNP expression values of the MAOA risk allele. In addition, Spearman’s correlation revealed that FCQ scores are negatively correlated with ∆BMI (rs = −0.470, p < 0.05, 95% CI: −0.767, −0.005), %TWL (rs = −0.561, p < 0.05, 95% CI: −0.814, −0.129), and %EWL (rs = −0.533, p < 0.05, 95% CI: −0.800, −0.090) at 3 years post-surgery and positively correlated with 3-year weight (rs = 0.576, p < 0.05, 95% CI: 0.151, 0.821) and 3-year BMI (rs = 0.552, p < 0.05, 95% CI: 0.117, 0.810). Lastly, GARS scores are positively correlated with 3-year ∆weight (rs = 0.422, p < 0.05, 95% CI: 0.010, 0.712).
- 10 April 2026
- Published by MDPI AG in Biomedicines
- Vol. 14 (4) , 870
Open AccessA Personalized Medicine Approach: Psychosocial and Genetic Risk Assessments Predictors of Bariatric Surgery Outcomes After 3 Years
Background: This study aimed to further explore the application of genetic risk assessments in 24 metabolic bariatric surgery (MBS) patients to predict weight loss outcomes three years after the procedure. Methods: Participants were assessed using the Genetic Addiction Risk Severity (GARS) test, which evaluates neurogenic polymorphisms linked to addiction and reward deficiency. Genetic and psychosocial data collected prior to surgery were analyzed in relation to post-operative weight loss measures, including weight change, body mass index (BMI), percentage of total weight loss (%TWL), and percentage of expected weight loss (%EWL). The analysis examined associations between specific genetic risk alleles, weight-related outcomes at three to four years post-surgery, and psychosocial trait scores. Results: Spearman’s correlations revealed that the DRD2 risk allele is negatively correlated with 3-year BMI (rs = −0.481, p < 0.05, 95% CI: –0.746 to –0.083). One-way ANOVA indicated that there is a significant difference in 3-year BMI (p = 0.018) between 0 and 1 DRD2 risk allele copy. There is also a significant difference in ∆weight (p = 0.022), ∆BMI (p = 0.014), and %EWL (p = 0.032) among the different SNP expression values of the MAOA risk allele. In addition, Spearman’s correlation revealed that FCQ scores are negatively correlated with ∆BMI (rs = −0.470, p < 0.05, 95% CI: −0.767, −0.005), %TWL (rs = −0.561, p < 0.05, 95% CI: −0.814, −0.129), and %EWL (rs = −0.533, p < 0.05, 95% CI: −0.800, −0.090) at 3 years post-surgery and positively correlated with 3-year weight (rs = 0.576, p < 0.05, 95% CI: 0.151, 0.821) and 3-year BMI (rs = 0.552, p < 0.05, 95% CI: 0.117, 0.810). Lastly, GARS scores are positively correlated with 3-year ∆weight (rs = 0.422, p < 0.05, 95% CI: 0.010, 0.712).
- Open Access
- 30 June 2025
- Published by MDPI AG in Biomedicines
- Vol. 13 (7) , 1610
GLP-1 and Its Role in Glycogen Production: A Narrative Review
Glucagon-like peptide-1 (GLP-1) has emerged as a pivotal regulator in the management of glucose homeostasis, glycogen metabolism, and energy balance, positioning it as a critical therapeutic target for addressing obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM). GLP-1 receptor agonists (GLP-1RAs) have shown promise for improving glycemic control and reducing weight through appetite regulation, delayed gastric emptying, and energy expenditure modulation. This narrative review explores the mechanisms of GLP-1-mediated glycogen metabolism and energy expenditure, particularly in key tissues—pancreas, liver, skeletal muscle, and adipose tissue. In the pancreas, GLP-1 enhances insulin secretion and beta-cell function. In the liver, it promotes glycogen synthesis via insulin-dependent and potential insulin-independent pathways, involving protein kinase B (AKT) and AMP-activated protein kinase (AMPK) signaling. Skeletal muscle benefits from GLP-1 through increased glucose uptake, AMPK activation, and mitochondrial function, facilitating glycogen storage. In adipose tissue, GLP-1 stimulates brown adipose tissue (BAT) thermogenesis and energy expenditure, contributing to weight loss. This increase in energy expenditure, along with enhanced glycogen metabolism, is a plausible mechanism for the weight loss observed with GLP-1RAs. Despite these advances, significant knowledge gaps remain, particularly regarding the direct hepatic effects of GLP-1, the extent to which it modulates glycogen metabolism in vivo, and its impact on thermogenesis in humans. Future research focusing on both the tissue-specific actions of GLP-1 and its systemic role in energy homeostasis and metabolic regulation will be essential for optimizing its therapeutic potential.
- 30 June 2025
- Published by MDPI AG in Biomedicines
- Vol. 13 (7) , 1610
Open AccessGLP-1 and Its Role in Glycogen Production: A Narrative Review
Glucagon-like peptide-1 (GLP-1) has emerged as a pivotal regulator in the management of glucose homeostasis, glycogen metabolism, and energy balance, positioning it as a critical therapeutic target for addressing obesity, metabolic syndrome, and type 2 diabetes mellitus (T2DM). GLP-1 receptor agonists (GLP-1RAs) have shown promise for improving glycemic control and reducing weight through appetite regulation, delayed gastric emptying, and energy expenditure modulation. This narrative review explores the mechanisms of GLP-1-mediated glycogen metabolism and energy expenditure, particularly in key tissues—pancreas, liver, skeletal muscle, and adipose tissue. In the pancreas, GLP-1 enhances insulin secretion and beta-cell function. In the liver, it promotes glycogen synthesis via insulin-dependent and potential insulin-independent pathways, involving protein kinase B (AKT) and AMP-activated protein kinase (AMPK) signaling. Skeletal muscle benefits from GLP-1 through increased glucose uptake, AMPK activation, and mitochondrial function, facilitating glycogen storage. In adipose tissue, GLP-1 stimulates brown adipose tissue (BAT) thermogenesis and energy expenditure, contributing to weight loss. This increase in energy expenditure, along with enhanced glycogen metabolism, is a plausible mechanism for the weight loss observed with GLP-1RAs. Despite these advances, significant knowledge gaps remain, particularly regarding the direct hepatic effects of GLP-1, the extent to which it modulates glycogen metabolism in vivo, and its impact on thermogenesis in humans. Future research focusing on both the tissue-specific actions of GLP-1 and its systemic role in energy homeostasis and metabolic regulation will be essential for optimizing its therapeutic potential.