Background: This study investigates the impact of IGC‐AD1, a combination comprising of low concentration of delta‐9 tetrahydrocannabinol (“THC”) and melatonin on blood serum potassium levels in patients with Alzheimer’s disease (“AD”). Loss of intracellular compartmentalization of potassium is a characteristic of AD pathology, with supporting studies indicating significantly lower potassium levels in intracellular compartments of AD brains and an associated increase in serum potassium levels in AD subjects. Here, we present preliminary safety lab data from a Phase I trial of AD patients administered with IGC‐AD1.

Methods: Thirteen Puerto Rican AD patients (mean age: 80.18 ± 6.22 years, 70% women) participated in a three‐cohort Phase I trial. Cohorts 1, 2 and 3 received 1 mL of IGC‐AD1 once a day, twice a day, or thrice a day for 14 days (“EOT”) with a washout period between each cohort. Only Cohort 1 data were analyzed. Blood draws occurred at baseline, day 5, day 10, and day 14.

Results: The analysis showed a statistically significant decrease in potassium serum levels from baseline (4.38 mmol/L) to EOT (4.16 mmol/L) in Cohort 1 on active medication (p = 0.013), while no differences were observed in patients on placebo (baseline: 4.65 mmol/L and EOT: 4.7 mmol/L; p = 0.874).

Conclusions: Future imaging studies could explore the use of radioactive potassium tracers for diagnosis. The study provides insights into a) potassium as a potential blood‐based diagnostic biomarker for AD and b) the potential of IGC‐AD1 as a disease‐modifying medication, given the preliminary data showing a reduction in serum potassium levels in AD subjects post‐treatment.

Download full-text PDF

Source
http://dx.doi.org/10.1002/alz.095358DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11714056PMC

Publication Analysis

Top Keywords

potassium levels
20
serum potassium
16
phase trial
12
day day
12
potassium
9
impact igc‐ad1
8
alzheimer’s disease
8
levels subjects
8
mmol/l eot
8
levels
6

Similar Publications

Gitelman syndrome with diabetes and kidney stones: A case report.

Medicine (Baltimore)

January 2025

The Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.

Rationale: Gitelman syndrome (GS) is a rare hereditary electrolyte disorder caused by mutations in the SLC12A3 gene. There is limited literature on the role of hydrochlorothiazide (HCT) testing and the SLC12A3 single heterozygous mutation in the diagnosis and management of patients with GS. In addition, cases of GS with concomitant kidney stones are rare.

View Article and Find Full Text PDF

Improving Renal Protection in Chronic Kidney Disease Associated with Type 2 Diabetes: The Role of Finerenone.

Endocr Metab Immune Disord Drug Targets

January 2025

Department of Internal Medicine, Division of Nephrology and Hypertension, Faculty of Medicine, Dr. Cipto Mangunkusumo Hospital, Universitas Indonesia, Jakarta, Indonesia.

Chronic kidney disease (CKD) is a major complication of type 2 diabetes mellitus (T2D), which often leads to diabetic kidney disease (DKD). Traditional therapies, including renin- angiotensin-aldosterone system inhibitors and sodium-glucose cotransporter-2 inhibitors, are effective in slowing CKD progression. However, these approaches are insufficient to comprehensively inhibit mineralocorticoid receptor (MR) overactivation in the kidneys, which remains a significant driver of inflammation, fibrosis, and oxidative stress.

View Article and Find Full Text PDF

Background: Andersen-Tawil syndrome (ATS) is a rare autosomal dominant disorder caused by variants in the gene. It is associated with periodic paralysis, dysmorphic features and cardiac arrhythmias. The syndrome exhibits incomplete penetrance, leading to a broad spectrum of clinical manifestations, making diagnosis challenging.

View Article and Find Full Text PDF

As global fertilizer application rates increase, high-quality datasets are paramount for comprehensive analyses to support informed decision-making and policy formulation in crucial areas such as food security or climate change. This study aims to fill existing data gaps by employing two machine learning models, eXtreme Gradient Boosting and HistGradientBoosting algorithms to produce precise country-level predictions of nitrogen (N), phosphorus pentoxide (PO), and potassium oxide (KO) application rates. Subsequently, we created a comprehensive dataset of 5-arcmin resolution maps depicting the application rates of each fertilizer for 13 major crop groups from 1961 to 2019.

View Article and Find Full Text PDF

Drought adversely affects the growth and performance of plants. By contrast, the application of organic modifiers can improve plant growth by supplying nutrients and water. The influence of foliar application of organic fertilizer under water deficit conditions on growth traits, chemical composition, and fruit quality of tomato (Lycopersicon esculentum Mill.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!