Molecular pathogenesis of Alzheimer's disease onset in a mouse model: effects of cannabidiol treatment

Introduction: Alzheimer's disease (AD) is a common neurodegenerative condition involving a complex blend of disturbances in synaptic development and maintenance, neurovascular cross-talk, ionic and nutrient transport, and mitochondrial metabolism. The precise molecular profile of AD onset with insight for major pathological contributors remains unclear with corresponding impedances in therapeutic development. The current study sought two objectives, as (i) to resolve the molecular pathogenesis from cognitive impairment to the onset of AD-like neuropathology and (ii) whether the novel agent cannabidiol (CBD), noted for its neuroprotective effects, influences the molecular transition associated with AD onset.

Methods: Dietary CBD was administered daily (80–100 mg/kg/day) in male 3xTg-AD mice and wild-type B6129SF2/J animals from 4.5 to 6.5 mo of age with inclusion of vehicle controls. RNA sequencing encompassed longitudinal and cross-sectional blood and brain samples, respectively. Metabolomics and behavioral analyses examined brain regions (cortex, hippocampus) and associated integrated neurocircuitry.

Results and discussion: There were >1,000 differentially expressed markers of AD onset, whereby >75% were either eliminated or reversed in the direction of expression in response to CBD. Signaling pathways encompassed synaptic development and plasticity (e.g., Foxp2), neurovascular interactions (Smad9, Angptl6), receptors and ion channels (Gria4, Chrna2, Rgs7/Rgs7bp), mitochondrial genes (Ndufa7, Cox7a2), immunity (Ncr1), oxidation-reduction (Esr1), lipid synthesis (Fasn, ApoE), and carbohydrate metabolism (Mafa, Mlxipl). As potentially addressable with CBD treatment, AD onset represents molecular integration of neurovascular interactions, channelopathies, metabolic disturbances, and aberrations in developmental genes with involvement of major pathological contributors such as inflammation, oxidative signaling, dyslipidemia, and insulin resistance.

Introduction

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder that currently impacts ≈6.7 million Americans with a drug development pipeline in place that primarily targets abnormalities in neurotransmission, inflammation, and amyloid burden (Cummings et al., 2025). To help expand capabilities for diagnosis and therapy of AD, fundamental applications of comprehensive molecular analyses such as transcriptomics and proteomics have been recognized over the past decade (Rahimzadeh et al., 2024; Sutherland et al., 2011). As a result, we now have a clearer view of the molecular “signatures” of major pathological contributors to AD as inflammation (Amelimojarad et al., 2024), oxidative stress (Bhandari et al., 2024), dyslipidemia (de Oliveira et al., 2024), and insulin resistance (Kale et al., 2024). However, outside of simplified annotation tools, there remains a challenge to resolve large, untargeted data sets while equipped with a physiological perspective to optimally locate and integrate significant biological markers into healthy cerebral perfusion and cognition. Furthermore, there is a need to enhance mechanistic insight into the early development of AD and, in particular, the critical and costly transition from mild cognitive impairment (MCI) to AD (Frech et al., 2024).

In tandem with experimentally comprehensive tools that best capture molecular pathogenesis, there remains a critical need for refining effective AD therapeutic strategies, particularly regarding the application of single, or combinations of, pharmacological agents (Cummings et al., 2025). From 2019 to the end of 2023, the use of cannabidiol (CBD) in particular has increased from 14% to 21% among adults in the United States (Wilson-Poe et al., 2023) to alleviate symptoms of a wide range of neurological conditions (e.g., anxiety, chronic pain, migraines, epilepsy, and schizophrenia; Mallick et al., 2024). The encompassing health effects of CBD are not surprising as it is known to target the primary cannabinoid receptors (CB1R & CB2R) in addition to a plethora of other G-protein coupled receptors (e.g., GPCR3/6/12/55, μ/δ opioid, adenosine A1, 5-HT1A, and dopamine D2), ligand-gated receptors (e.g., AMPA and GABA), and ion channels (e.g., TRPV1-4, TRPA1, TRPM8, Na_v1.1-1.7, Ca_v1.1-1.4/3.1-3.3, and K_v7.2-7.3; Wright, 2024) with several more transmembrane targets yet to be tested. It is also worth noting that three clinical trials of CBD treatment for MCI to mild/moderate AD pathology have begun as of January 2021 (NCT04075435, Phase 1), February 2021 (NCT04436081, Phase 2), and January 2024 (NCT05822362, Phase 2; Cummings et al., 2025). In addition, CBD potentially presents a novel experimental (e.g., cyclodextrins) and therapeutic (e.g., statins) alternative to managing membrane cholesterol homeostasis (Guard et al., 2022) as relevant to the AD risk factor apolipoprotein E ε4 allele (APOE4; Sun et al., 2023b) while central to cardiovascular and cognitive health (Rashid et al., 2023). Altogether, CBD may be harnessed for treating a broad spectrum of neurodegenerative diseases; however, a clear mechanistic understanding of how CBD modulates molecular pathways specifically associated with AD-like pathogenesis remains incomplete.

Using the 3xTg-AD mouse model, the current study sought two objectives as (i) to resolve the molecular pathogenesis from cognitive impairment to the onset of AD-like neuropathology and (ii) determine whether CBD could influence the molecular transition associated with MCI to that of AD. For longitudinal molecular measurements, whole blood samples were examined from male mice during the cognitive impairment (4.5 mo, wk 0) and AD-like neuropathology (6.5 mo, wk 8) phases of the animal's lifespan using bulk RNA sequencing (CBD-treated vs. vehicle). We used transcriptomic and metabolomic profiling to identify molecular changes at the earliest stages of AD, as these methods provide comprehensive insight into gene expression and metabolic disturbances preceding the onset of clinical symptoms. Cross-sectional comparisons entailed bulk RNA sequencing and metabolomics of whole brain samples. The same animals, along with sex- and age-matched wild-type B6129SF2/J (now hereby referred to as B6129) mice, were assessed using behavioral assays [Morris water maze (MWM), open field test (OFT), and nest building test (NBT)] at ages 4.5 and 6.5 mo. Our baseline expectation was that CBD would disrupt the expression of key biomarkers of AD pathogenesis involving neuroinflammation and amyloid-β metabolism. In brief, we found >900 differentially expressed genes (DEGs) in the blood associated with the onset of AD-like neuropathology in 3xTg-AD mice, whereby ~240 DEGs have previously been identified as AD-associated markers in human subjects. Furthermore, dietary CBD treatment removed respective DEGs (or reversed their direction of expression) in at least 75% of these AD-selective genes. Using the 3xTg-AD animal model as a surrogate for studying molecular mechanisms underlying AD pathogenesis, these data have implications for the early-stage pathogenesis of AD while reinforcing dietary CBD as a robust therapeutic option.

Materials and methods

General animal care and use

All animal care use and experimental protocols for this study were approved by the Institutional Animal Care and Use Committee of Loma Linda University and performed in accordance with the National Research Council's “Guide for the Care and Use of Laboratory Animals” (8th Edition, 2011). Experiments were performed using male B6129 mice (n = 10) [The Jackson Laboratory (Wilmington, MA, USA), strain#: 101045] and male 3xTg-AD mice (n = 10) [(B6;129-Tg (APP-Swe, tauP301L) 1Lfa Psen1tm1Mpm/Mmjax); Mutant Mouse Resource and Research Center (MMRRC) stock #034830]. The 3xTg-AD mouse model was selected due to its robust expression of hallmark AD pathology, including amyloid-β plaques, tau neurofibrillary tangles, and cognitive deficits, making it suitable for investigating effects of early intervention. At 4–5 mo of age, 3xTg-AD mice generally exhibit cognitive impairment but minimal extracellular amyloid-β (Aβ) plaques, whereas the presence of neuropathology in the form of extracellular Aβ plaques is generally noted by 6–8 mo of age. All 20 mice were at 4.5 mo of age in the beginning of the study and 6.5 mo at the end (Oddo et al., 2003; Belfiore et al., 2019; Chum et al., 2022). All animals were housed on a 12:12-h light–dark cycle at 22–24 °C with fresh water and food available ad libitum.

Housing and dietary training for ad libitum ingestion of CBD in raspberry-flavored gelatin relative to vehicle

To closely monitor the complete consumption of food, water, and a Jello-type raspberry-flavored gelatin [Item model #:4300020072; Sun Maid, USA (vehicle for dietary CBD dissolved in 95% ethanol)] of individual animals, mice were single-housed for 11 days prior to handling. Animals were single-housed to closely monitor CBD administration while ensuring intake on an individual level. Observation of any anxiety (e.g., rapid chewing of food and excessive grooming) during this period was addressed using additional enrichment (toys) added to the cage. Five days prior to the start of the gelatin training period, each mouse was handled for 5 min per day. Procedures for habituating and reducing stress in mice were performed in accordance with a “three-dimensional handling technique” (Marcotte et al., 2021), whereby the identity of the handler/experimenter (one to two people at most) to individual animals was kept as consistent as possible.

With water remaining available throughout, mice were fasted for 12 and 16 h prior to the first and second days of gelatin presentation, respectively. After the mice completed the gelatin training procedure for the first 2 days, they were presented with their regular food and water ad libitum until the start of the next fasting period. The mice were fasted for only 2 out of the 5 days of gelatin training to encourage ingestion of the gelatin upon presentation. For each gelatin feeding period, the gelatin was provided on a weighing boat as a tray in a clean empty cage without any bedding or enrichment for a maximum of 1 h. If a mouse consumed the prepared gelatin cube within the hour, they were placed back into their home cage immediately to encourage eating as quickly as possible. Note that two wild-type B6129 mice designated in the vehicle group did not respond with eating the raspberry-flavored gelatin or an alternative as an unflavored gelatin (Knox, Item model number: 10043000048679; Kraft-Heinz, USA) and thus were excluded from the core analyses of the study as presented here in the manuscript.

CBD was obtained from Cayman Chemical Company (Ann Arbor, MI, USA) as 2-[1R-3-methyl-6R-(1-methylethenyl)-2-cyclohexen-1-yl]-5-pentyl-1,3-benzenediol (Catalog #90080). With the limitation of low bioavailability (≈9%) relative to parenteral intravenous administration (Xu et al., 2019), the oral route was chosen based on its non-invasiveness and representation of use in the human population (Arnold et al., 2023; Jha et al., 2024). The time frame (8 wks) and frequency (once per day) of administration was chosen in accord with a consistent and chronic treatment period encompassing the transition from pre- to post-plaques in the brains of 3xTg-AD animals. With consideration of prior studies of mouse models of neurodegenerative disease (Dearborn et al., 2022; Kreilaus et al., 2022; Coles et al., 2020; Hao and Feng, 2021; Watt et al., 2020; Cheng et al., 2014; Long et al., 2010) combined with untested effects on 3xTg-AD animals in particular, we first provided CBD samples as 80 mg/kg/day for 4 wks and monitored for any signs of overt toxicity. With none observed, we proceeded with 100 mg/kg/day as a “high” therapeutic dose (Xu et al., 2019) for the final 4 wks of the treatment period.

Blood sample collection

Blood was collected from all animals via tail clipping prior to the CBD administration; then, trunk blood was collected at the end of the study. Tail clipping was performed, while the mouse was under anesthesia. To ensure the comfort of the mice during this process, they were placed in an airtight container and anesthetically induced with isoflurane at 3% for 3 min. Afterward, they were fitted into a nose cone and the isoflurane was lowered to 1.5% for the remainder of the process, which averaged an additional 20 min. Trunk blood was collected while the mouse was under anesthesia prior to brain and organ collection, and the procedure was terminal. A 150–200 μl blood sample was obtained from the tail, and 500–750 μl of blood from the trunk was collected from each mouse. A 1:1 ratio of RNA/DNA Shield 2X Concentrate (R1200-25; Zymo Research, Irvine, CA, USA) was added to each blood solution to preserve the samples, which were then sent to Zymo Research for RNA sequencing analysis.

Brain and organ collection

On the final day of the project, animals were euthanized after the completion of the OFT experiment. The brain was extracted from each mouse and stored in the −80 °C freezer for further analysis. Half of the brain was snap-frozen in liquid nitrogen and ground to powder using mortar and pestle; then, the powder was divided in half for RNA sequencing and metabolomics analysis, respectively.

RNA sequencing

A powdered brain sample per animal (80–127 mg) was stored in 1X RNA/DNA Shield (R1100; Zymo Research) according to the manufacture instructions and stored in −80 °C freezer prior to shipment. RNA extraction, sequencing, and bioinformatics analysis were done by Zymo Research on Illumina NovaSeq X Plus platform with 30 million read pairs per sample for both blood and brain samples. For differentially expressed genes (DEGs) calculations, RNAseq pipeline (v2.1.0) developed by Zymo Research with the DESeq2 package (v1.28.0) was employed for calculation of DEGs. We defined significant DEGs as those fulfilling p-value < 0.05 and an absolute value of log2 fold change > 1.

Metabolomics

A powdered brain sample per animal (98–150 mg) was stored dry in −80 °C freezer prior to shipment. The Untargeted Metabolomic Service was performed by Creative Proteomics (Shirley, NY, USA) on the Thermo Q Exactive UPLC-MS/MS platform. A list of comprehensive metabolites in both positive and negative mode was obtained as part of the analysis report provided by Creative Proteomics.

Morris water maze

Learning and memory (general associative and spatial) were tested using the MWM, a plastic circular pool (85 cm in diameter) filled with water (25 ± 2 °C) made opaque using non-toxic tempera paint (Handy Art, Inc. Milton, WI, USA). The mice had to find and climb onto an escape platform (11 cm in diameter), the surface of which was either 1.5 cm above the water's surface for the “cued” task or 1.5 cm below the water's surface for the “spatial” task. The test was performed prior to the CBD exposure and after 8 weeks of daily CBD exposure.

On the first day of MWM testing, each mouse was trained to locate the platform during the cued trials, in which the platform's location changed every trial, but remained visible to the mice. For the subsequent 3 days of the spatial navigation testing, mice were trained to locate a submerged (hidden) platform that remained in the same location for all the trials of that day and before changing to a different location on the following day. Five trials were administered per day. For each trial, the mouse was placed into the water pool at different start locations (E, S, W, and N) and allowed to locate the hidden platform. If the mouse was unable to locate the platform within 60 s, it was gently guided to the platform by the experimenter. Once on the platform, it was allowed to remain for 15s. A “probe” trial, in which the platform was removed and the mouse was allowed to swim freely for 60 s, was performed at the end of the day on the spatial performance days (24 h after the last training trial). The position of each mouse was tracked by a camera above the center of the pool and was connected to an automatic photographic recording and analysis system (Noldus, EthoVision XT 11.5, Leesburg, VA, USA). The escape latency (i.e., the time required to locate the hidden platform), latency of the first entrance to the target zone, and the time spent in the target zone (% of the total time in all the four zones) during the 4-day acquisition training, the swimming paths, and the number of crossings into the target quadrant during the probe trial were all recorded.

Open field test

The OFT was used to measure the exploratory behavior of the 3xTg-AD and B6129 mice. The test was conducted the day after the MWM was completed. An hour prior to the start of the test, the mice were relocated to the behavioral testing room to acclimate to the room's lighting and temperature conditions. The test was conducted in a box that is 76.2 cm × 76.2 cm. The floor of the box was covered with white butcher paper that is the exact dimensions of the box. Mice were released into the middle of the OFT maze and allowed to explore freely for 30 min with no interruptions. At the end of the 30 min, the mice were removed from the box and new white butcher paper was placed. This procedure was repeated for each mouse, and the mouse tracking data were collected and analyzed with the EthoVision XT 11.5 Software system.

Nest building test

NBT was performed 3 days prior to the gelatin training period during the animal handling week on day 3 of the handling. Each mouse was given one-third of a paper towel (Georgia Pacific 20204 Acclaim Multifold Paper Towels, White, Poly-Bag Protected). Each paper towel was cut into 1 cm × 8 cm strips and was evenly distributed across the width of each clean cage before putting the mouse into the cage. The nesting materials were presented to the mice after the third handling session, and the mice were left undisturbed for 24 h until the next handling session. A picture of the nest was taken after the nesting materials were presented at 12, 36, and 60 h. All nesting materials were removed after 60 h, and the mice were given their regular enrichment and cotton bedding. At the end of the 60 h, the pictures from the three nesting days were sent to three experimenters who were blind to the study groups. The scoring criteria were designated from a score of 1–5 as follows: (1) nest materials remained scattered throughout the cage, untouched, or entirely disorganized; (2) material was collected near the edges and corners of the cage and but remain scattered; (3) most of the material primarily in one quadrant of the cage; (4) material not shredded but packed into one corner; (5) material shredded and packed into one corner as an identifiable nest (Neely et al., 2019). The three experimenters rated the state of each nest from each picture, and then, the scores were averaged over each day for each mouse. The process was repeated after CBD treatment. Photos of the cages showing the nest state were once again taken after 12, 36, and 60 h.

Statistical analysis

For behavioral assays, all statistical analyses were performed using GraphPad Prism (Version 10.1.2; GraphPad Software, La Jolla, CA). Analysis included a two-way analysis of variance (Tukey's post-hoc). Differences between groups were accepted as statistically significant with p < 0.05. All summary data are presented as the mean ± SEM.

Results

The aims of the current study were to resolve molecular pathogenesis throughout the range of cognitive impairment associated with development of AD-like neuropathology and to determine whether oral administration of CBD could influence this molecular transition. In addition, we endeavored to identify novel biomarkers of AD pathogenesis as well. Using the 3xTg-AD animal model (Chum et al., 2022; Stevens and Brown, 2015; Jullienne et al., 2022; Stover et al., 2015), untargeted transcriptomic and metabolomic analyses were employed in combination with behavioral assays. For within group comparisons (e.g., longitudinal blood analyses, wk 8 vs. wk 0), study groups are presented first in the following order: 3xTg-AD vehicle, wild-type vehicle, 3xTg-AD CBD-treated, and wild-type CBD-treated. For cross-group comparisons (e.g., cross-sectional brain analyses at wk 8), the order of presentation is 3xTg-AD vehicle vs. wild-type vehicle, 3xTg-AD CBD-treated vs. 3xTg-AD vehicle, wild-type CBD-treated vs. wild-type vehicle, and 3xTg-AD CBD-treated vs. wild-type CBD-treated. Due to the extensive nature of the datasets, not all results are thoroughly discussed here; therefore, readers are referred to the Supplementary Tables 1–34 for comprehensive lists of DEGs and pathway interactions across study groups.

Transcriptomic analyses: longitudinal blood samples with AD onset

Comprehensive blood- and/or brain-based analyses of RNA biomarkers can track development of MCI and AD-associated neuropathology in mouse models (Li et al., 2023; Barisano et al., 2022) and human subjects (Li et al., 2023; Shigemizu et al., 2020; Wang et al., 2024b). With comparison of whole blood of 3xTg-AD animals at AD onset (6.5 mo, 8 wks vehicle treatment) vs. cognitive impairment (4.5 mo, 0 wks vehicle treatment), there were 447 and 471 genes significantly downregulated and upregulated, respectively (Figure 1A, Supplementary Table 1). The most extreme expression alterations (|log2 fold change| > 15) include Histocompatibility 2, Q region locus 2 (H2-Q2) and Tudor domain containing 5 (Tdrd5) genes for downregulation and Sulfotransferase family 4A member 1 (Sult4a1), Cytochrome P450, family 2, subfamily f, polypeptide 2 (Cyp2f2), and Recombination Activating 2 (Rag2) genes for upregulation (Figure 1A, Supplementary Table 1). DEGs for non-coding RNAs include 94 long non-coding RNAs (lncRNAs; 66 downregulated, 28 upregulated), 8 microRNAs (miRNAs; 7 downregulated, 1 upregulated), 2 small nuclear RNAs (snRNAs; both downregulated), and 7 small nucleolar RNAs (snoRNAs; 6 downregulated, 1 upregulated). Note that 206 DEGs are not annotated (unknown or uncharacterized) for pathway analysis, whereby 89% were downregulated (=183) vs. 11% upregulated (=23). For DEGs previously identified for AD pathology, 40 and 200 genes were downregulated (9% of 447 genes) and upregulated (42% of 471 genes), respectively (Table 1). As not necessarily selective for AD pathogenesis per se, other select DEGs of interest have also been tracked throughout study groups as shown in Table 2.

Figure 1

Figure 1. Volcano plots of longitudinal changes of gene profiles collected from whole blood: effect of Alzheimer's disease onset and cannabidiol. Genes that were upregulated (red), downregulated (blue), and were not significantly altered (light gray) from 4.5 mo (0 wks) to 6.5 mo (8 wks) (A) in 3xTg-AD animals; 447 genes were downregulated, and 471 genes were upregulated (see Supplementary Table 1). (B) In wild-type B6129 mice, 593 genes were downregulated and 198 genes were upregulated (see Supplementary Table 2). (C) In cannabidiol (CBD)-treated 3xTg-AD mice, 180 genes were downregulated and 663 genes were upregulated (see Supplementary Table 6). (D) In CBD-treated B6129 mice, 338 genes were downregulated and 198 genes were upregulated (see Supplementary Table 9). Data were obtained from n = 3–5 male mice per group. For complete reports on overlap of genes across respective groups, see Supplementary Tables 3, 7, 10, 11. For complete reports on reversal of significant gene profiles across groups (e.g., CBD-treated 3xTg-AD vs. vehicle 3xTg-AD), see Supplementary Tables 4, 5, 8, 12, 13, 14. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Table 1

Table 1. Differentially expressed genes (P < 0.05) in whole blood of 3xTg-AD vehicle (weeks 8 vs. 0) animals that are recognized with Alzheimer's disease pathology.

Table 2

Table 2. A list of 53 differentially expressed genes (P < 0.05) of interest (neurological and cardiovascular conditions) and their relevant functions in the whole blood of 3xTg-AD vehicle (weeks 8 vs. 0) animals that are tracked throughout all study groups in parallel with AD-selective DEGs, including wild-type animals with and without CBD treatment.

AD and select DEGs in blood of wild-type animals: longitudinal analysis

In wild-type controls (Figure 1B, Supplementary Table 2), 21 AD-associated DEGs (Table 1) were regulated in the same direction (Egfl7, Efna1, Unc5c, Fn1, Ddit1, Efemp1, Fabp3, Pdk4, Ltc4s, C1qb, Il33, Bcam, Cgnl1, C1qc, Aebp1, Ptgis, Saa3, Fcrls, C1qa, C4b, and Ednrb) as in 3xTg-AD animals and thus are not distinct for neuropathology onset in 3xTg-AD animals. One AD-marked DEG (5S_rRNA) went from upregulated in wild-type to downregulated in 3xTg-AD mice. In contrast, 17 AD-associated DEGs (Table 1) went from upregulated in 3xTg-AD mice to downregulated in wild-type at 6.5 mo (Srgap1, Lrfn5, Myt1l, Kndc1, Pcsk2, Cacna2d3, Prkar1b, Pcdh9, Mei, Foxp2, Lin7a, Pth2r, St8sia3, Slc17a7, Rbp4, Etv4, and Ncan), which serve as potential blood biomarkers during the MCI phase of AD pathology.

Of those DEGs not necessarily selective for AD pathology (Table 2), Sgtb, Pak6, Kcnk3, Des, Ltc4s, and Gpd1 were commonly regulated in the same direction for both 3xTg-AD and wild-type mice. However, Kcnq4 for hearing loss (Lee et al., 2021) was upregulated in 3xTg-AD mice and downregulated in wild-type mice. The majority (89%) of these randomly selected DEGs in 3xTg-AD mice (Figure 1A, Supplementary Table 1) did not appear as DEGs for wild-type mice (Figure 1B, Supplementary Table 2) including those for Parkinson's (e.g., Tox3, Pak6, and Gucy2c) and Huntington's (e.g., Tgm1 and Fam171b) pathology, aging (e.g., Abcc9 and Postn), potential destruction of the blood brain barrier (Jam3), vascular remodeling (e.g., EphB4 and Angptl6), lipid disorders (e.g., Acat3 and Cidec), and inflammation (e.g., Alox8). In addition, note that the most extreme DEGs in 3xTg-AD animals (log2 fold change > 15) such as downregulated H2-Q2 [“non-classical” Major Histocompatibility Complex Class 1 molecule (Huh et al., 2000)] and Tdrd5 [processes small non-coding RNAs for spermatogenesis (Ding et al., 2018)] and upregulated Sult4a1 [brain-specific sulfotransferase involved in neuronal development & function (Culotta et al., 2020)], Cyp2f2 [cytochrome P450 enzyme highly expressed in lungs (Li et al., 2011)], and Rag2 [crucial for immune development via V(D)J recombination for generation of antigen receptors on B & T lymphocytes (Gennery, 2019)] did not overlap as DEGs with wild-type animals (Figure 1B, Supplementary Table 2).

For a complete list of overlapping genes and directional regulation of DEG expression among 3xTg-AD and wild-type B6129 mice, see Supplementary Table 3. For characterized non-coding RNAs differentially regulated among groups, small RNAs include snoRNAs Snora21 & C/D box 59A (Snord59a) and Gm54761 miRNA. LncRNAs regulated in opposite directions among groups include 9530022L04Rik and Gm13270. In addition, note that a total of 431 DEGs in 3xTg-AD mice were “reversed” in expression in wild-type mice (Supplementary Table 4). Of all the AD DEGs (Table 1), 103 (43%) were included in this list, with Srgap1, Lrfn5, Myt1l, Kndc1, Pcsk2, Cacna2d3, Prkar1b, Pcdh9, Mei1, Foxp2, Lin7a, Pth2r, St8sia3, Slc17a7, Rbp4, and Etv4 as significantly reversed in the opposite direction of expression in wild-type mice relative to 3xTg-AD. Other significantly reversed coding genes include Frs3, IQ motif and Sec7 domain 3 (Iqsec3), Masp1, Shisa2, Hhatl, Lmcd1, Ppfia2, Spink10, Slc13a4, and Kcnq4 (Supplementary Table 4). Conversely, a total of 478 DEGs in wild-type mice were reversed in the opposite direction of expression in 3xTg-AD mice with inclusion of significant gene markers indicated in the vice versa analysis (Supplementary Table 5).

AD and select DEGs in blood of 3xTg-AD animals treated with CBD: longitudinal analysis

Relative to 3xTg-AD animals (Figure 1A, Supplementary Table 1), 57 AD-selective DEGs were regulated in the same direction (Map2k3os lncRNA, Map1lc3b, Uqcr10, Pfdn5, Cox7a2, Uqcrh, Mrc1, Ndufa7, Igfbp5, Lpar1, Mertk, Rbms3, Ddr2, Slc4a4, Synpo2, Serping1, Dagla, Grb14, Eda2r, Dab2, C1qb, Cyp1b1, Sfrp1, Fgf2, Pth1r, Myh4, Gas6, Mgp, Ptprd, Kcnn3, Tmem119, Dcn, Acss3, Fbln1, Scara3, Rarres2, C1s1, Mme, Ppp1r3c, Prox1, Pck1, Prelp, Atp1a2, and C1qa; common with wild-type: Efemp1, Pdk4, Ltc4s, Il33, Bcam, Cgnl1, C1qc, Aebp1, Ptgis, Saa3, C4b, Ednrb) in CBD-treated 3xTg-AD animals (Figure 1C, Supplementary Table 6). Three AD-marked DEGs (5s_rRNA, Peg3, and Tagln3) went from downregulated in 3xTg-AD mice to upregulated in CBD-treated 3xTg-AD mice. In contrast, 2 AD-marked DEGs went from upregulated in 3xTg-AD mice to downregulated in CBD-treated 3xTg-AD mice (Smad9 and Rgs7bp). Note that most (=178, 75%) of the remaining AD-marked DEGs (Figure 1A, Table 1) were no longer DEGs in 3xTg-AD animals following CBD treatment (Figure 1C, Supplementary Table 6).

Of those DEGs indicated in conditions independent of or in addition to AD pathology, Timm8b, Susd4, Tmsb4x, Kcnt2, Lockd lncRNA, Jam3, Kcnk3, Des, Klhdc7a, Abca8a, Gpd1, Plin1, and Thrsp were commonly regulated in the same direction for both 3xTg-AD and CBD-treated 3xTg-AD mice. The majority (76%) of these randomly selected DEGs in 3xTg-AD mice (Figure 1A, Table 2) did not appear as DEGs following CBD treatment (Figure 1C, Supplementary Table 6), noting absence of some select markers for neurological aging (e.g., Abcc9 and Postn), hypercholesterolemia (e.g., Acat3), and inflammation (e.g., Alox8). In addition, note that the most extreme DEGs in 3xTg-AD animals (log2 fold change > 15) as H2-Q2 and Sult4a1 were no longer DEGs in comparison with the CBD-treated 3xTg-AD group, whereas Tdrd5, Cyp2f2, and Rag2 remained (Figure 1C, Supplementary Table 6). For select endocannabinoid-related genes, the CBD receptor gene Gpr6 (Laun et al., 2019) was no longer indicated as a DEG but Dagla enzyme gene [for 2-arachidonoglycerol (2-AG) production; Schuele et al., 2022] remained upregulated regardless following CBD treatment in 3xTg-AD mice.

For a complete list of overlapping genes and directional regulation of DEG expression among CBD-treated 3xTg-AD and 3xTg-AD mice, see Supplementary Table 7. A non-coding RNA regulated in opposite directions among groups includes the snRNA 7SK (or RN7SK). In addition, note that a total of 284 DEGs in 3xTg-AD mice were reversed in the direction of expression in CBD-treated 3xTg-AD mice (Supplementary Table 8). Of all the AD DEGs, 72 (30%) were included in this list, with Peg3, Tagln3, Smad9, and Rgs7bp as significantly expressed in the opposite direction in CBD-treated 3xTg-AD mice relative to 3xTg-AD mice.

AD and select DEGs in blood of wild-type animals treated with CBD: longitudinal analysis

Of the DEGs marked with AD in 3xTg-AD animals as common with wild-type animals (Figures 1A, B, Supplementary Tables 1, 2) and CBD-treated 3xTg-AD animals (Figure 1C, Supplementary Table 6), 6 were regulated in the same direction as Pdk4, C1qb, C1qc, Ptgis, C4b, and Ednrb in CBD-treated wild-type animals (Figure 1D, Supplementary Table 9). Fabp3 was commonly upregulated among wild-type (Figure 1B, Supplementary Table 2) and CBD-treated wild-type animals (Figure 1D, Supplementary Table 9). As upregulated genes in 3xTg-AD mice, Srgap1 and Myt1l remained downregulated regardless of CBD treatment in wild-type animals, whereas these genes were no longer DEGs in CBD-treated 3xTg-AD animals. For genes under other classifications independent of AD pathology, Gpd1 for lipid metabolism was commonly upregulated among wild-type animals and CBD-treated wild-type animals.

In comparison with CBD-treated 3xTg-AD animals (Figure 1C, Supplementary Table 6), nine AD DEGs as C1qa, C1qb, Cyp1b1, Sfrp1, Myh4, C1s1, Ppp1r3c, Pck1, and Atp1a2 were regulated in the same direction in CBD-treated wild-type animals. One AD DEG, Pth1r, was upregulated in CBD-treated 3xTg-AD animals but downregulated in CBD-treated wild-type animals. As downregulated in 3xTg-AD animals but upregulated in CBD-treated 3xTg-AD animals, Peg3 is downregulated in CBD-treated wild-type animals (Figure 1D, Supplementary Table 9). For other select genes not necessarily related to AD pathology, Gpd1 is commonly upregulated across all groups regardless of AD pathology and CBD treatment. Susd4, Thrsp, and Cidec genes are commonly regulated among all groups except for wild-type mice without CBD where they are not indicated as DEGs. Nt5dc, Angptl6, Plin1, and Plin4 are commonly regulated among 3xTg-AD mice and the CBD-treated wild-type group. Tox3 and Postn are downregulated and upregulated, respectively, in 3xTg-AD mice but, conversely, upregulated and downregulated, respectively, in the CBD-treated wild-type group. The majority (81%) of the randomly selected DEGs in 3xTg-AD mice (Figure 1A, Supplementary Table 1) did not appear as DEGs in CBD-treated wild-type animals (Figure 1D, Supplementary Table 9). Of the most extreme DEGs as identified in 3xTg-AD animals (|log2 fold change| > 15; downregulated H2-Q2 and Tdrd5 and upregulated Sult4a1, Cyp2f2, and Rag2), H2-Q2, Tdrd5, and Cyp2f2 were upregulated DEGs in CBD-treated wild-type animals.

For a complete list of overlapping genes and directional regulation of DEG expression among CBD-treated wild-type and untreated wild-type mice, see Supplementary Table 10. One lncRNA showing opposite regulation between these groups was Gm43868. For overlapping DEG expression among CBD-treated 3xTg-AD mice and CBD-treated wild-type mice, see Supplementary Table 11. Non-coding RNAs regulated in opposite directions among these groups include the miRNA Gm56228 and lncRNAs Gm43868 and Gm27252. In addition, note that a total of 238 DEGs in wild-type mice were reversed in direction of expression in CBD-treated wild-type mice (Supplementary Table 12). Significantly reversed genes following CBD treatment of wild-type mice include Rbp4, S100 calcium binding protein B (S100b), protein kinase D1 (Prkd1), tumor necrosis factor alpha induced protein 6 (Tnfaip6), and the lncRNA Gm43868. To help ascertain how CBD may differentially impact 3xTg-AD mice vs. wild-type mice, an analysis revealed a total of 347 DEGs in CBD-treated 3xTg-AD that were reversed in the direction of expression in CBD-treated wild-type mice (Supplementary Table 13). Significantly reversed genes in CBD-treated wild-type mice relative to CBD-treated 3xTg-AD mice include the miRNA Gm56228, lncRNAs 2010310C07Rik and Gm27252, Tdrd5, F-box and leucine rich repeat protein 15 (Fbxl15), 5-hydroxytryptamine (serotonin) receptor 1B (Htr1b), multiple PDZ domain crumbs cell polarity complex component (Mpdz), ADCYAP receptor type I (Adcyap1r1), FYVE, RhoGEF and PH domain containing 1 (Fgd1), protein interacting with cyclin A1 (Proca1), Pth1r, Tmem132a/e, Sorbin and SH3 domain containing 2 (Sorbs2), Peg3, Formin homology 2 domain containing 3 (Fhod3), Peroxisomal biogenesis factor 11 gamma (Pex11g), and Slc26a1. Conversely, 300 DEGs in CBD-treated wild-type mice were reversed in CBD-treated 3xTg-AD mice with inclusion of significant gene markers indicated in the vice versa analysis (Supplementary Table 14).

Pathways of AD onset: longitudinal blood analysis

With comparison of whole blood of 3xTg-AD animals at AD onset (6.5 mo, 8 wks vehicle treatment) vs. cognitive impairment (4.5 mo, 0 wks vehicle treatment; Figure 1A, Supplementary Table 1), 28 canonical pathways were upregulated (Figure 2A; –log p-value >1.3 and absolute z-score > 2.0) Using a bubble plot analysis with consideration of the abundance of gene overlap with various pathways (Figure 2B), the most prominent categories are disease-specific pathways; pathogen-influenced signaling; cellular growth proliferation and development; cellular immune response; cancer; cellular stress and injury; and neurotransmitters and other nervous system signaling. At least in part, the lack of downregulated pathways in 3xTg-AD animals may be attributed to 183 (41%) of downregulated DEGs (Figure 1A) that have not been sufficiently characterized and annotated yet.

Figure 2

Figure 2. Cell signaling pathways and categories in whole blood marking Alzheimer's disease onset. (A) Canonical pathways that significantly increased (orange, 28) or decreased (blue, 0) from 4.5 mo (0 wks) to 6.5 mo (8 wks) in 3xTg-AD animals. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; increase = orange and decrease = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log(p-value) >1.3 and absolute z-score > 2.0. Data were obtained from n = 5 male mice. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Young adult aging from 4.5 to 6.5 mo in the wild-type mice is not likely a substantial shift in the animal's genome regulation toward pathology (Quintana et al., 2021; Lourenco et al., 2017), whereby it was suspected that only pathways of development (e.g., neurogenesis and skeletal muscle growth) would be relevant, if anything. Surprisingly, 27 pathways were downregulated in wild-type mice including synaptogenesis, CREB signaling, and glutamate receptor signaling (Figure 3A) with only two upregulated pathways as FGFR1 signaling and antioxidant action of vitamin C (Figure 3A). Accordingly, downregulated DEGs indicate a prominent decrease in disease-specific pathways; cellular stress and injury; cellular immune response, cancer; cellular growth, proliferation, and development; and neurotransmitters and other nervous system signaling (Figure 3B). Pathways that are significantly reversed in wild-type relative to 3xTg-AD mice (Supplementary Table 15) and vice versa (Supplementary Table 16) include endocannabinoid neuronal synapse pathway; breast cancer regulation by Stathmin 1; neurotransmitter release cycle; K⁺ channels; molecular mechanisms of cancer; CREB signaling in neurons, S100 family signaling; neurovascular coupling signaling; synaptogenesis signaling; and extracellular matrix organization.

Figure 3

Figure 3. Cell signaling pathways and categories in whole blood of age-matched, wild-type mice. (A) Canonical pathways that significantly increased (orange, 2) or decreased (blue, 27) from 4.5 mo (0 wks) to 6.5 mo (8 wks) in wild-type B6129 animals. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; increase = orange and decrease = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log p-value greater >1.3 and absolute z-score of >2.0. Data were obtained from n = 3 male mice. For a report on reversal of significant pathways in wild-type B6129 vs. 3xTg-AD mice, see Supplementary Table 15 (vice versa as Supplementary Table 16). This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Pathways of AD onset relative to wild-type animals with CBD treatment: longitudinal blood analysis

There is a reasonable premise that CBD may address known pathways of Alzheimer disease pathogenesis (Cummings et al., 2025; Liu, 2024). In whole blood of CBD-treated 3xTg-AD animals, 45 and 5 pathways were significantly upregulated and downregulated, respectively (Figure 4A). For the most prominent upregulated pathways with –log p-value > 10, oxidative phosphorylation; electron transport, ATP synthesis, and heat production by uncoupling proteins; SRP-dependent co-translational protein targeting to membrane; eukaryotic translation initiation, elongation, and termination; seleno-amino acid metabolism, response of EIF2AK4 (GCN2) to amino acid deficiency; non-sense-mediated decay; major Pathway of rRNA processing in the nucleolus and cytosol; and EIF2 signaling. The abundance of gene overlap for upregulated pathways is prominent for nuclear receptor signaling, cellular immune response, and metabolism of protein (Figure 4B). Downregulated gene overlap appears for ingenuity toxicity list and disease-specific pathways (Figure 4B). Pathways muted in CBD-treated 3xTg-AD relative to untreated 3xTg-AD mice primarily center on the Smad9 gene involved in angiogenesis and tumor development (Supplementary Table 17).

Figure 4

Figure 4. Cell signaling pathways and categories in whole blood with cannabidiol treatment of Alzheimer's disease onset. (A) Canonical pathways that significantly increased (orange, 45) or decreased (blue, 5) from 4.5 mo (0 wks) to 6.5 mo (8 wks) in cannabidiol (CBD)-treated 3xTg-AD animals. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; increase = orange and decrease = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log(p-value) greater >1.3 and absolute z-score of >2.0. Data were obtained from n = 5 male mice. For a report on reversal of significant pathways in CBD-treated 3xTg-AD vs. 3xTg-AD vehicle mice, see Supplementary Table 17. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

In whole blood of CBD-treated wild-type animals, 10 and 15 pathways were significantly upregulated and downregulated, respectively (Figure 5A). With a commonly upregulated pathway as complement cascade signaling, downregulated pathways in CBD-treated wild-type animals that were upregulated in untreated 3xTg-AD animals include extracellular matrix organization; CREB signaling in neurons; synaptogenesis signaling; neurexins and neuroligins; neurovascular coupling; and breast cancer regulation by Stathmin 1 (Figures 2A, 5A). As absent for significance (P>0.05) in untreated wild-type mice (Figure 3A), upregulated pathways in CBD-treated wild-type mice (Figure 5A) include melatonin and nicotine degradation and estrogen biosynthesis as similar to CBD-treated 3xTg-AD mice (Figure 4A). Downregulated pathways in untreated wild-type mice that remained downregulated with CBD treatment include K⁺ channels, CREB signaling in neurons, neurovascular coupling, synaptogenesis signaling, and breast cancer regulation by Stathmin 1 (Figures 3A, 5A). Relative to increases in CBD-treated 3xTg-AD mice (Figure 4A), pathways of extracellular matrix organization and ion transport signaling were decreased in CBD-treated wild-type mice (Figure 5A). Within CBD-treated wild-type animals, patterns of overlapping genes were primarily downregulated as intracellular second messenger signaling; disease specific pathways; cancer; pathogen-influenced signaling; cellular immune response; neurotransmitters and other nervous system signaling; and cellular growth, proliferation, and development (Figure 5B). Pathways that were flipped in the opposite direction of regulation in CBD-treated relative to untreated wild-type mice include hepatic fibrosis and neutrophil extracellular trap signaling (Supplementary Table 18). Downregulated pathways that emerged with CBD treatment in wild-type but not 3xTg-AD include phagosome formation; CREB signaling in neurons; S100 family signaling; G-protein coupled receptor signaling; breast cancer regulation by stathmin 1; molecular mechanisms of cancer; and class B/2 (secretin family receptors; Supplementary Table 19). Pathways that were commonly upregulated in both CBD-treated groups to a similar extent [–log(p-value) ≈ 2] but with a relatively enhanced z-score in 3xTg-AD animals include regulation of IGF transport and uptake by IGFBPs and post-translational protein phosphorylation, primarily based on the expression of the Tmem132a gene (Supplementary Table 20).

Figure 5

Figure 5. Cell signaling pathways and categories in whole blood of age-matched, wild-type mice treated with cannabidiol. (A) Canonical pathways that significantly increased (orange, 10) or decreased (blue, 15) from 4.5 mo (0 wks) to 6.5 mo (8 wks) in cannabidiol (CBD)-treated wild-type B6129 animals. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; increase = orange and decrease = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log p-value greater >1.3 and absolute z-value score of >2.0. Data were obtained from n = 5 male mice per group. For a report on pathways that were flipped in the opposite direction of regulation in CBD-treated vs. untreated wild-type mice, see Supplementary Table 18. For a report on downregulated pathways that emerged with CBD treatment in wild-type but not 3xTg-AD mice, see Supplementary Table 19. For pathways that were commonly upregulated in both CBD-treated groups to a similar extent [–log(p-value) ≈ 2] but with a relatively enhanced z-score in 3xTg-AD animals, see Supplementary Table 20. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Select DEGs in blood of 3xTg-AD relative to wild-type animals with and without CBD treatment: cross-sectional analysis

With longitudinal comparisons among groups being the most rigorous for analysis, we also sought to analyze what DEGs may distinguish groups at the 6.5 mo timepoint following 8 wks of vehicle treatment or CBD. Cross-sectional comparison of whole blood from 3xTg-AD animals at AD onset vs. wild-type animals (both at 6.5 mo following 8 weeks of vehicle treatment; Supplementary Table 21) identified 523 significantly downregulated and 494 significantly upregulated DEGs. The most extreme expression alterations (log2 fold change ≥ 20) are the same as the downregulated H2-Q2 and Tdrd5 genes marked for the longitudinal (6.5 vs. 4.5 mo) 3xTg-AD analysis (Figure 1A, Supplementary Table 1). Exact matches for AD-selective genes as determined in the longitudinal 3xTg-AD analyses for onset of AD (Figure 1A, Supplementary Table 1) include Ramp3, Tamalin, Sema4c, the lncRNA Map2k3os, Rin1, F12, Acvr1, Iqck, Tagln3, Scg5, Wfs1, Cacna2d4, Ncr1, Esr1, Ndufa7, Cox7a2, Acacb, Gls2, Bmp4, Mgat3, Ppp1r3c, Vgf, Gpr6, Hapln2, Oprd1, Ntsr1, Lrfn5, Nap1l2, Kndc1, Pcsk2, Cckbr, Tmem63c, Prkar1b, the miRNA Mir144, Mei1, Tacr3, Lin7a, Gria4, Npsr1, Scara3, Ankrd36, Sfrp1, Insm1, Snap91, St8sia3, Pcdh9, Rgs7, Rbp4, Chrna2, Etv4, Pld6, Adamts13, Kcnk2, Slc17a7, Prok2, and Ncan. In CBD-treated 3xTg-AD vs. vehicle mice, all of these genes marked for AD pathology were either reversed in expression (downregulated to upregulated: Ramp3, Sema4c, Rin1, Acvr1, Iqck, Tagln3, Scg5, and Cacna2d4; upregulated to downregulated: Mgat3, Tmem63c, Prkar1b, Kcnk2, and Ncan) or no longer appeared as a DEG in 3xTg-AD mice (Supplementary Table 22). Another noteworthy finding is that apolipoprotein E (Apoe; Pendse et al., 2009) was a downregulated DEG in 3xTg-AD mice relative to wild-type (Supplementary Table 21), an observation no longer apparent with CBD treatment (Supplementary Table 22).

With continuing consideration of DEGs not necessarily selective for AD pathology originally identified in longitudinal analyses of 3xTg-AD mice (Figure 1A, Supplementary Table 1), C920006O11Rik, Timm8b, Necab2, Gprasp2, Kcng2, Asic4, Kcnq4, Lockd, Angptl6, Sidt1, and Acat3 also appeared as DEGs in the cross-sectional analysis of vehicle 3xTg-AD vs. wild-type mice (Supplementary Table 21). Of these DEGs, only two remained (C920006O11Rik and Angptl6) and were reversed in direction of expression from downregulated to upregulated in CBD-treated 3xTg-AD animals (Supplementary Table 22). For DEGs that overlapped in longitudinal blood analyses of 3xTg-AD vs. wild-type B6129 vehicle (week 0–8; age, 4.5 to 6.5 mo) mice while opposite in direction of expression among groups (Supplementary Table 3), five ncRNAs (Gm13270, Gm17096, Gm42462, Gm5067, and Snora21), A830018L16Rik, Hhat1, Iqsec3, Limcd1, Masp1, Ppfia2, Slc13a4, and Spink10 appeared again as DEGs in cross-sectional analyses of 3xTg-AD mice vs. wild-type (6.5 mo; Supplementary Table 21). Only two of these genes (Gm17096 and Slc13a4) remained in the CBD-treated 3xTg-AD group vs. 3xTg-AD vehicle, whereby CBD treatment again reversed their direction of expression relative to vehicle (Supplementary Table 22). Of all the genes common to longitudinal and cross-sectional analyses in 3xTg-AD vs. wild-type animals above, note that Kndc1, Sfrp1, Rbp4, and Etv4 also appear as upregulated DEGs in CBD-treated wild-type vs. vehicle animals at 6.5 mo of age (Supplementary Table 23). For CBD-treated 3xTg-AD vs. CBD-treated wild-type mice cross-sectional analyses in blood, downregulated DEGs include F12, Ncr1, and Apoe and upregulated DEGs include Ndufa7, Cox7a2, miR144, Ankrd36, Prok2, Timm8b, Lockd, Iqsec3, and Spink10 (Supplementary Table 24).

Select DEGs in brains of 3xTg-AD relative to wild-type animals with and without CBD treatment: cross-sectional analysis

As a basis of central nervous function, we also examined cross-sectional analyses of DEGs among all study groups at the 6.5 mo timepoint following 8 wks of vehicle treatment or CBD in brain samples. With cross-sectional comparison of brains of 3xTg-AD animals at AD onset relative to wild-type (6.5 mo, 8 wks vehicle treatment; Figure 6A, Supplementary Table 25), 72 and 28 DEGs were significantly downregulated and upregulated, respectively. AD-selective genes include ribonuclease A family member 6 (Rnase6; Seto et al., 2022; Bolivar et al., 2024), membrane-spanning 4-domains, subfamily A, member 1 (Ms4a1; Deming et al., 2019), oxidative stress-induced growth inhibitor 1 (Osgin1; Kang et al., 2023), C-C motif chemokine receptor 1 & 6 (Ccr1/6; Halks-Miller et al., 2003; Subramanian et al., 2010; D'Angelo et al., 2020), complement c5a receptor 2 (C5ar2; Carvalho et al., 2022), phospholipase A2 group IVE (Pla2g4e; Perez-Gonzalez et al., 2020), NLR family, CARD domain containing 4 (Nlrc4; Saadi et al., 2020), Ubc (Nguyen et al., 2024), serine (or cysteine) peptidase inhibitor, clade A, member 3N (Serpina3n; Saroja et al., 2022), Il15 (Clark et al., 2021; Janelidze et al., 2018), Aqp6 (Amro et al., 2023), exocyst complex component 3-like 2 (Exoc3l2; Wu et al., 2017; Seshadri et al., 2010), ubiquitin specific peptidase 18 (Usp18; Widjaya et al., 2023; Xiang et al., 2018), Oncostatin m (Osm; Yu et al., 2023; Whelan et al., 2019), Kcnn4 (Kosoy et al., 2022; Maezawa et al., 2012), interferon-activated gene 204 (Ifi204; Green et al., 2022), and C-X-C motif chemokine ligand 13 (Cxcl13; Karaahmet et al., 2022; Figure 6A, Supplementary Table 25). In the corresponding cross-sectional analysis in blood for 3xTg-AD vs. wild-type mice, Ubc is an exact match whereas other homolog DEGs appear as Rnase1, Ms4a4b, Ccr5/9, Aqp11, Usp46, and Cxcl14 (Supplementary Table 26). In addition, note that Ms4a7 and Kcnn3 appear as homolog genes in longitudinal analyses as AD onset in 3xTg-AD mice (6.5 vs. 4.5 mo; Supplementary Table 1). Other notable genes commonly regulated among the blood and brain compartments include eukaryotic translation initiation factor 3, subunit J2 (Eif3j2), enolase 1b (Eno1b), guanylate binding protein 2 (Gbp2b), H4 clustered histone 17 (H4c17) mitochondrial ribosomal protein S12 (Mrps12), apolipoprotein L 11b (Apol11b), and budding uninhibited by benzimidazoles 1 mitotic checkpoint serine/threonine kinase B (Bub1b; Supplementary Table 26). Interestingly, one gene is regulated in opposite directions in brain (up) relative to blood (down) collagen, type VI, alpha 4 (Col6a4) in marking DEGs among 3xTg-AD vs. wild-type mice (Supplementary Table 26).

Figure 6

Figure 6. Volcano plots of cross-sectional profiles collected from whole brain: effect of Alzheimer's disease onset and cannabidiol. Genes that were upregulated (red), downregulated (blue), and were not significantly altered (light gray). (A) Genes that were altered in 6.5 mo 3xTg-AD vs. age-matched B6129 mice; 72 and 28 genes were less and more in expression, respectively (see Supplementary Table 25). (B) Cannabidiol (CBD)-treated 3xTg-AD vs. 3xTg-AD vehicle mice; 5 and 38 genes were less and more in expression, respectively (see Supplementary Table 26). (C) CBD-treated B6129 vs. B6129 vehicle mice; 7 and 10 genes were less and more in expression, respectively (see Supplementary Table 27). (D) CBD-treated 3xTg-AD vs. CBD-treated B6129 mice; 73 and 98 genes were less and more in expression, respectively (see Supplementary Table 28). Data were obtained from n = 3–5 male mice per group. For corresponding cross-sectional comparisons of blood samples across respective groups, see Supplementary Tables 21–24. For cross-sectional of gene markers that were matched across blood and brain compartments, see Supplementary Tables 29–32. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

In CBD-treated 3xTg-AD animals for the brain (Figure 6B), none of the DEGs remained as marked in 3xTg-AD relative to wild-type mice with the exception of a persistent upregulation of Usp18 regardless of CBD treatment in 3xTg-AD mice (Supplementary Tables 25, 27). However, note that there were relevant gene homologs in CBD-treated animals such as opposing regulations of Nlrc5 and Gbp3 in CBD-treated 3xTg-AD mice (Supplementary Table 27) vs. Nlrc4 and Gbp2b, respectively, in 3xTg-AD vehicle vs. wild-type mice (Supplementary Table 25). Furthermore, homologs Ifi204 and CxCl13 (3xTg-AD vs. wild-type; Supplementary Table 25) and Ifi44/206/209/27l2a and Cxcl10 (CBD-treated vs. vehicle 3xTg-AD mice; Supplementary Table 27) were commonly upregulated. Note that there is only one precise DEG match that is regulated in opposing directions among cross-sectional blood and brain compartments for CBD-treated vs. vehicle 3xTg-AD mice as the lncRNA Gm49980 (Supplementary Table 28).

Relatively few DEGs were apparent for CBD-treated vs. vehicle wild-type mice as 7 downregulated [e.g., Cxcr5 and Midline 1 (Mid1)] and 10 upregulated [e.g., Nurim (Nrm), Lymphocyte transmembrane adaptor 1 (Lax1), SLAM family member 6 (Slamf6), Immunoglobulin kappa constant (Igkc) and Immunoglobulin kappa chain variable 12-41 (Igkv12-41)] genes while not overlapping with those of CBD-treated 3xTg-AD animals (Figure 6C, Supplementary Table 29). Furthermore, overlapping DEGs (all upregulated) among the brain and blood compartments for the CBD-treated vs. vehicle wild-type animals are limited to three pseudogenes (Gm14165, Gm8730, and Gm96250; Supplementary Table 30).

For CBD-treated 3xTg-AD vs. CBD-treated wild-type animals, 73 and 98 genes were upregulated and downregulated, respectively (Figure 6D, Supplementary Table 31). With relevance to notable genes marked in the brain for AD pathology and CBD treatment in 3xTg-AD animals, Eif3j2, Eno1b, Apol11b, and Cxcl13 commonly mark both biological sample compartments with DNA nucleotidylexotransferase (Dntt) regulated in opposing directions in brain relative to blood (Supplementary Table 32).

Pathways of AD onset influenced by CBD treatment: cross-sectional brain analyses

With comparison of brain samples among all animal groups at 6.5 mo (8 wks vehicle or CBD treatment), there were no significant canonical pathways (cutoff: –log p-value > 1.3 & absolute z-score > 2.0) to distinguish 3xTg-AD or CBD-treated wild-type mice from the wild-type vehicle group. Note that the relative scarcity in DEGs (≤10) among these groups for the brain may explain the absence of canonical pathways recognized among respective groups. Five upregulated pathways of the CBD-treated 3xTg-AD vs. 3xTg-AD vehicle group included (from greatest to least) interferon alpha/beta signaling, role of hypercytokinemia/hyperchemokinemia in the pathogenesis of influenza, interferon gamma signaling, pathogen induced cytokine storm signaling, and neuroinflammation signaling (Figure 7A). Gene overlap was most prominent for upregulation of overall pathogen-influenced signaling, disease-specific pathways, and the immune system (Figure 7B). For comparisons of CBD-treated 3xTg-AD vs. CBD-treated wild-type, additional upregulated pathways included OAS antiviral response, class I MHC-mediated antigen processing and presentation, multiple sclerosis signaling, and immunoregulatory interactions between a lymphoid and a non-lymphoid cell (Figure 8A) with gene overlap patterns similar to CBD-treated 3xTg-AD vs. vehicle (Figures 7B, 8B).

Figure 7

Figure 7. Cell signaling pathways and categories in whole brain in Alzheimer's disease animals treated with cannabidiol relative to vehicle controls. (A) Canonical pathways that were significantly more (orange, 5) or less (blue, 0) in 6.5 mo CBD-treated 3xTg-AD vs. 3xTg-AD vehicle mice. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; more = orange and less = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log(p-value) greater >1.3 and absolute z-score of >2.0. Data were obtained from n = 5 male mice per group. Note that no significant pathways emerged in comparisons among brains of 3xTg-AD vs. wild-type B6129 mice or CBD-treated wild-type B6129 vs. wild-type vehicle mice. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Figure 8

Figure 8. Cell signaling pathways and categories in whole brain in Alzheimer's disease animals treated with cannabidiol relative to vehicle controls. (A) Canonical pathways that were significantly more (orange, 11) or less (blue, 0) in 6.5 mo CBD-treated 3xTg-AD vs. CBD-treated wild-type B6129 mice. (B) Bubble plots of the number of genes that overlap with major pathway categories with size of bubble directly indicating the amount of overlap; more = orange and less = blue. The Ingenuity pathway analysis setting was set at a log2 fold change cutoff at 1.0 up and −1.0 down (p-value ≤ 0.05). The significance of canonical pathways was determined at a –log(p-value) >1.3 and absolute z-score of >2.0. Data were obtained from n = 5 male mice per group. Note that no significant pathways emerged in comparisons among brains of 3xTg-AD vs. wild-type B6129 mice or CBD-treated wild-type B6129 vs. wild-type vehicle mice. This figure was generated through the use of QIAGEN IPA (QIAGEN Inc., https://digitalinsights.qiagen.com/IPA) (Krämer et al., 2014).

Metabolites of AD onset influenced by CBD treatment: cross-sectional brain analyses

With knowing the general role of metabolomics, and particularly altered profiles of lipids (He et al., 2025) and immune markers (Ahmad et al., 2024) during Alzheimer's disease pathogenesis, we also sought to compare all study groups at 6.5 mo of age following 8 wks of vehicle treatment or CBD in brain samples. Using an untargeted screen, in positive mode, there were 73 significant metabolites whereas in negative mode, there were 39 metabolites. In total, there were 112 metabolites that marked 3xTg-AD vs. wild-type vehicle mice (Supplementary Tables 33, 34).

Relative to 3xTg-AD vehicle, all metabolites in CBD-treated 3xTg-AD animals were not at a detectable level to show significance except for phosphate, which was increased in 3xTg-AD vs. wild-type vehicle but decreased in CBD-treated 3xTg-AD animals vs. vehicle (Supplementary Table 34). In wild-type animals, notable metabolites such as androstane, glutamate, palmitoyl ethanolamide, and malic acid were less in CBD-treated vs. vehicle animals, whereas 2-methylserine was higher. Furthermore, CBD-treated 3xTg-AD animals show higher 13,16,19-docosatrienoicacid, glycero-3-phosphoethanolamine, N-dodecanoylsphinganine, 11-eicosenoic acid, 11,14,17-eicosatrienoic acid, 13,16,19-docosatrienoic acid, 2-hydroxyglutarate, 3-methylindole, 3b-hydroxy-5-cholenoic acid, oleic acid, carnitine, cis-5-tetradecenoylcarnitine, fructose 6-phosphate, glutaconate, glycerophosphoglycerol, eicosadienoic acid, leucine, pantetheine, phenylalanine, sn-glycero-3-phosphoethanolamine, stearic acid, tryptophan, and xanthosine levels but lesser 1-linoleoylglycerophosphocholine, 16-HETE, 2-arachidonyl-sn-glycero-3-phosphoethanolamine, 9-nitrooleate, arachidonic acid methyl ester, N-arachidonoyl taurine, lysophosphatidylethanolamine (22:6/0:0), 11(Guard et al., 2022)-EET, 2-aminomuconate, and guanosine relative to CBD-treated wild-type animals (Supplementary Tables 33, 34).

Behavioral analyses

Since AD is a cognitive disorder (Baerresen et al., 2015), we sought to assess learning, spatial, exploratory, and organizational behavior (Hartman et al., 2001; Rudobeck et al., 2017) longitudinally in the same wild-type and 3xTg-AD animals used for the molecular analyses in the absence and presence of CBD treatment. In the MWM (cued visible platform phase), both 3xTg-AD and wild-type mice groups exhibited reduced total distance traveled at 6.5 vs. 4.5 mo, but the reduction in the wild-type group was approximately double of that for the 3xTg-AD mice (≈40% vs. ≈22%, respectively; Figure 9). 3xTg-AD mice at AD onset (6.5 mo) swam ≈2.9 times greater distance relative to the age-matched, wild-type mice. The effects of CBD at 6.5 mo (following 8 wks of treatment) were negligible among respective 3xTg-AD and wild-type animal groups (Figure 9). In addition, for the spatial submerged platform phase, note that there was a trend (P>0.05) of an increased average distance traveled by 3xTg-AD vs. wild-type (Supplementary Figure 1). Overall, all study groups performed better at wk 8 (6.5 mo) relative to the starting point at wk 0 (4.5 mo) as indicated by a reduced travel distance (Supplementary Figure 2). There were no significant group differences among the cumulative distances to the target in the Spatial learning phase (Figure 10). During the Probe trials at wk 0, none of the groups spend more than 25% of the trial searching the correct target quadrant, suggesting a lack of memory for the escape platform's location. However, 8 wks later, the wild-type mice spent >25% of the trial searching the correct target quadrant (suggesting a memory for the escape platform's location; P < 0.05), whereas the 3xTg-AD mice still did not (Supplementary Figure 3D). CBD treatment increased the average number of target zone entries by ≈22% in wild-type mice and ≈3% in 3xTg-AD mice (Supplementary Figure 4). Furthermore, CBD increased the average time spent in the target zone by ≈20% in wild-type mice and ≈8% in 3xTg-AD mice (Supplementary Figure 5). Finally, CBD treatment also decreased the average cumulative distance to target (i.e., improved performance) by ≈7% in wild-type mice and ≈4% in 3xTg-AD mice (Supplementary Figure 6).

Figure 9

Figure 9. Cued characteristics of the water maze among wild-type and Alzheimer's disease animals with and without cannabidiol treatment. Animals were cued on Day 1 of each time period (five trials) as 0 wks (4.5 mo old) and 8 wks (6.5 mo) throughout the treatment period. A lower distance as marked on the y-axis implies greater learning ability. At week 8, the 3xTg-AD mice (6.5 mo old) swam ≈2.9 times the distance relative to age-matched, wild-type B6129 mice. Both 3xTg-AD and wild-type B6129 mice groups traveled less for total distance at wk 8 vs. wk 0, but the wild-type group showed a ≈40% reduction in travel relative to the 3xTg-AD group (≈22%). The effects of cannabidiol (CBD) at wk 8 appear negligible among respective 3xTg-AD and wild-type animal groups. Data were obtained from n = 3–5 mice per group. See Supplementary Figures 1, 2 for average distance data comparisons and individual block comparisons, respectively, among study groups.

Figure 10

Figure 10. Distance traveled throughout three positions of the water maze among wild-type and Alzheimer's disease animals with and without cannabidiol treatment. (A) Cumulative distances traveled among groups at wk 0 (4.5 mo old) at Positions 1, 2, and 3. (B) As in A, at wk 8 (6.5 mo old). Note no significant differences overall among groups. Data were obtained from n = 3–5 mice per group. See Supplementary Figures 3–6 for additional details regarding individual spatial characteristics (number of target entries, percent time in target zone, and cumulative distance to target) among study groups.

For the OFT test, all mice on average spent more time in the periphery (edges and corners) relative to the open central zone, but the 3xTg-AD mice spent significantly more time in the open central zone, suggesting a lack of anxiety about potentially risky behavior (Figures 11A, B). By 6.5 mo, only the wild-type vehicle mice spent significantly more time in the periphery (Figure 11C). There were no significant differences among the percentage of time spent in the center, parameter, and corners at 4.5 and 6.5 mo among study groups (Supplementary Figure 7). During 4.5 mo, note that the 3xTg-AD mice were hyperactive, traveling significantly more distance relative to wild-type animals (Figures 12A, B). By 6.5 mo, however, the 3xTg-AD mice were hypoactive, traveling less than the wild-type B6129 group. The effects of CBD on both groups were negligible (Figure 12C).

Figure 11

Figure 11. Time spent in the open field test among wild-type and Alzheimer's disease animals with and without cannabidiol treatment. (A) Travel times among inner (open central) and outer (periphery, edges, and corners) zones among all respective study groups at wk 0 (no exposure to CBD yet). Note that outer vs. inner zone times were generally higher in the wild-type but not 3xTg-AD mice. (B) As in (A), with data combined for wild-type B6129 and 3xTg-AD mice, respectively, at wk 0. Although the time in the outer zone was higher relative to the inner zone in both groups, note the significantly less time in the outer zone for the 3xTg-AD vs. wild-type B6129 mice. (C) As in (A), with comparisons at wk 8. Note that the only group with a significantly higher outer vs. inner time zone value was wild-type B6129 vehicle. Data were obtained from n = 3–5 mice per group (n = 8–10 in combined CBD and vehicle comparisons); *P < 0.05, **P < 0.01, and ****P < 0.0001.

Figure 12

Figure 12. Average distance traveled in the open field test among wild-type and Alzheimer's disease animals with and without cannabidiol treatment. (A) The average distance traveled among all respective study groups at wk 0 (no exposure to CBD yet). The 3xTg-AD animals indicate a trend of more distance traveled relative to wild-type B6129 animals. (B) As in A, with data combined for wild-type B6129 and 3xTg-AD mice, respectively, at wk 0. Note significantly more distance traveled in the 3xTg-AD group relative to wild-type B6129. (C) As in A, with comparisons at wk 8 following CBD vs. vehicle treatment. The distances traveled were generally less in the 3xTg-AD vs. wild-type B6129 group with negligible effects of CBD. Data were obtained from n = 3–5 mice per group (n = 8–10 in combined CBD and vehicle comparisons); *P < 0.05, **P < 0.01. See Supplementary Figure 7 for the percentage of time spent in the center, parameter, and corners at wks 0 and 8 among study groups.

For the NBT test for cognitive function, there was a trend for lower nesting scores among 3xTg-AD relative to wild-type mice at both 4.5 and 6.5 mo (Supplementary Figure 8). With neuropathological onset at 6.5 mo, average nest scores among 3xTg-AD animals were relatively flat across three nights of examination while not exceeding a score of 4 (≈3.5–3.8). Apparent effects of CBD were mild in 6.5 mo 3xTg-AD animals but with correspondence to average scores of 4 on the second and third nights relative to less < 4 in the vehicle 3xTg-AD group. In contrast, nesting scores among 6.5 mo wild-type animals progressively increased over the three-night period from ≈3.5–4.5, with similar (or lesser) scores during CBD treatment relative to vehicle across all three nights.

Discussion

With priorities for clarifying molecular pathogenesis from mild cognitive impairment to the onset of Alzheimer's disease pathology (Frech et al., 2024), and potential mechanisms of therapeutic cannabidiol intervention (Cummings et al., 2025), we conducted a thorough blood transcriptomic analysis of early-stage pathogenesis of Alzheimer's disease using the 3xTg-AD animal model. Furthermore, additional cross-sectional analyses were performed on paired brain and blood samples during Alzheimer's disease onset relative to wild-type controls to survey potential agreement among prominent biomarkers of the blood circulation and central nervous system. Although a limitation of the study, a focus on only male animals in the current study is consistent with the bulk of differences noted in the molecular profile (Chum et al., 2022, 2024) and structure (Jullienne et al., 2022) of cerebral vessels relative to females in aging 3xTg-AD mice. In brief, over 900 DEGs marked AD onset in 3xTg-AD mice relative to the timepoint of cognitive impairment. Approximately 240 of these genes were identified as AD-associated markers pertinent to human subjects, whereby at least 75% were either removed as statistically significant or reversed in the direction of expression as a result of dietary cannabidiol treatment. Altogether, these data provide insight into the early-stage molecular pathogenesis of AD, susceptible to disruption by a chronic (≈2 month) cannabidiol intervention. Given the extensive datasets, selected biomarkers are further discussed below concerning their biological mechanisms and clinical implications.

Genes of Alzheimer's disease onset: sensitivity to cannabidiol treatment

Relative to age-matched wild-type mice, ApoE was downregulated in the blood of 3xTg-AD mice during onset of AD, a downregulated DEG that disappeared following CBD treatment. This finding is significant as ApoE deficiency promotes atherosclerosis in mice (Pendse et al., 2009) as most commonly observed in human subjects with the presence of the APOE4 gene and increased risk for developing AD pathology (Sun et al., 2023b). Recent in silico (Choi et al., 2023) and cholesterol transport (Allende et al., 2024) analyses involving aberrant ApoE function have been suggestive of CBD's utility in this regard. There were also genes significant upon AD onset in 3xTg-AD mice that were reversed in the direction of expression following CBD treatment. Ramp3, Sema4c, Rin1, Acvr1, Iqck, Tagln3, Scg5, Cacna2d4, and Peg3 were downregulated with AD onset and were reversed to upregulated in expression following CBD treatment. Mgat3, Tmem63c, Kcnk2, Prkar1b, Smad9, and Rgs7bp were upregulated with AD onset and were reversed to downregulated in expression following CBD treatment. Other AD genes that were obviated as DEGs in response to CBD at AD onset included those that were downregulated (e.g., Ramp3, Tamalin, Sema4c, the lncRNA Map2k3os, Rin1, F12, Acvr1, Iqck, Tagln3, Scg5, Wfs1, Cacna2d4, Ncr1, and Esr1) and upregulated (e.g., Ndufa7, Cox7a2, Acacb, Gls2, Bmp4, Mgat3, Ppp1r3c, Vgf, Gpr6, Hapln2, Oprd1, Ntsr1, Lrfn5, Nap1l2, Pcsk2, Cckbr, Tmem63c, Prkar1b, the miRNA Mir144, Mei1, Tacr3, Lin7a, Gria4, Npsr1, Scara3, Ankrd36, Insm1, Snap91, St8sia3, Pcdh9, Rgs7, Chrna2, Pld6, Adamts13, Kcnk2, Slc17a7, Prok2, and Ncan). With organization across synaptic plasticity and development; neurovascular interactions; ion channels, receptors, and transporters; mitochondrial genes; inflammation and oxidative stress; and lipid and carbohydrate metabolism, these particular genes are emphasized for further discussion below.

Synaptic development and plasticity

In the current study, we found that numerous genes linked to AD pathology are involved in neuronal network development and remodeling with development and aging (Kalra et al., 2025). Genetic interactions among RAMP3 and SEMA3A are notable for human subjects with AD (Wang et al., 2021), whereby Ramp3 mechanistically acts as an amylin receptor and regulates clearance of amyloid from the brain to the blood as demonstrated in the Tg2576 mouse model (Mohamed et al., 2017). Note that Sema4c is also expressed across human brain regions as the entorhinal cortex, hippocampus, middle temporal gyrus, posterior cingulate cortex, superior frontal gyrus, and visual cortex in AD human subjects (Puthiyedth et al., 2016). As both semaphorins (Sema3a and Sema4c) are known to regulate nervous system development and plasticity (Carulli et al., 2021), it is possible that the murine version of Ramp3 to Sema3a interaction noted with AD pathology in humans (Wang et al., 2021) more precisely involves Sema4c (and not Sema3a) instead. Although CBD treatment has not been identified for modulation of Ramp3 and the semaphorin genes in the past per AD pathology, stimulation of some cannabinoid receptors (e.g., CB1R) is known to increase Ramp3 expression (Glenn et al., 2024). Rin1 regulates postsynaptic neuronal plasticity, whereby its deficiency leads to enhanced amygdala long-term potential and associated aversive memory (Dhaka et al., 2003). Rin1 has also been identified as a hub gene in late-onset AD patients but in non-carriers of APOE4 (Jiang et al., 2016). Although interaction of CBD with Rin1 per se has not been established in prior studies, its ability to bolster Rin1 expression is consistent with overall effects as a reduction in learned fear and aversive memory (Bitencourt and Takahashi, 2018). Acvr1 is a type I receptor for bone morphogenetic protein while associated with hippocampal volume (Horgusluoglu-Moloch et al., 2019). CBD is an inhibitor of the expression of the inhibitor of DNA binding 1 (Id1) gene as a downstream target of Acvr1 (Messinger et al., 2023). While a binding partner for EF-hand proteins such as calmodulin, Iqck is a genome-wide risk signal for AD (Kunkle et al., 2019) and also associated with obesity (Hinney et al., 2014). Tagln3 assists with actin filament organization and is downregulated in patients with sporadic AD while a target of APOE4 (Arnaud et al., 2022). Prkar1b is a regulatory subunit of cyclic AMP-dependent protein kinase (PKA) and is associated with neurodevelopmental disorders and neurodegeneration in general (Benjamin-Zukerman et al., 2024) including distinctions among symptomatic and asymptomatic forms of AD (Tandon et al., 2023). Ncan is a chrondroitin sulfate proteoglycan involved in synaptic plasticity while associated with amyloid levels (Mravinacova et al., 2024). Vgf is inducible by the presence of nerve growth factor and is associated with the onset and progression of AD (Lu et al., 2025; Beckmann et al., 2020; Busse et al., 2015). Lrfn5 mediates cell adhesion for synaptic plasticity and coincides with AD and major depressive disorder (Nho et al., 2015). Pcdh9 is protocadherin involved in cell–cell adhesion in the presence of Ca²⁺ while associated with neurofibrillary tangles and phosphorylated tau (Ghose et al., 2024). Snap91 is a synaptosome-associated protein involved in clathrin and phosphatidylinositol binding activity while having been identified as a hub gene for AD (Hu et al., 2020). As an AD-selective DEG eliminated by CBD treatment, Cplx2 (Nie et al., 2021) also modulates neuronal control of memory in patients with schizophrenia (Hass et al., 2015) and during frontotemporal dementia (FTD) pathogenesis (Ramos-Miguel et al., 2018). Furthermore, Foxp2 [fundamental to nervous system evolution and development (Usui et al., 2014)] was significantly up- and downregulated in longitudinal analyses of 3xTg-AD and wild-type mice, respectively; CBD treatment removed Foxp2 as a DEG for both groups. In addition to AD (Oswald et al., 2017), note that Foxp2 is also integral to the development of a host of neurodegenerative diseases including FTD (Padovani et al., 2010).

For regulation of neuronal growth, Bmp4 is a ligand of bone morphogenetic receptors (can activate Acvr1), whereby its increased expression correlates to decreased hippocampal cell proliferation during AD (Li et al., 2008) and white matter destruction following chronic hypoperfusion of the brain (Uemura et al., 2018). Past evidence has demonstrated that CBD can downregulate Bmp4 expression (Gurgul et al., 2024). In addition to Nap1l5 (Wang et al., 2022b), histone chaperone Nap1l2 regulates neuronal proliferation by interacting with chromatin while associated with AD among other neurodegenerative diseases (Haenig et al., 2020). Mei1 is involved in meiosis I for germ cell development with potential association with AD (Li and De Muynck, 2021). Finally, Peg3 of the Kruppel C2H2-type zinc finger protein family is also involved with regulating neuronal growth and development, whereby its deficiency (as demonstrated in the current study with 3xTg-AD animals) leads to apoptosis (Broad et al., 2009). Alterations in miRNAs that primarily target mRNAs for cellular growth proliferation and development were also a molecular characteristic of cerebral vessels of aging 3xTg-AD mice (Chum et al., 2022, 2024).

Neurovascular interactions

At least from a mechanistic pathogenesis perspective, it is clear that AD has now been recognized as a neurovascular disorder as well (Chum et al., 2024; Zhu et al., 2022; Santisteban et al., 2023), whereby cerebrovascular growth, permeability, and resistance/tone operate or disintegrate together in concert toward brain health or dementia, respectively. Ankrd36 is ankyrin repeat domain protein that regulates blood pressure by interaction with the transcription factor YY1 and thereby influencing epithelial Na⁺ channel (ENaC) expression (Yan et al., 2021). Ankrd36 expression can be correlated with Mini-Mental State Examination (MMSE) and Medial Temporal Atrophy (MTA) scores, particularly in Vietnamese AD patients (Cao et al., 2023). Adamts13 is metalloproteinase that regulates thrombosis by cleaving von Willebrand Factor (VWF) while comprising a vascular disease axis component of AD (Hanas et al., 2021). Hapln2 supports formation of the blood–nerve barrier but elevated levels may also contribute to neurodegeneration during AD (Tandon et al., 2023) or Parkinson's disease (Wang et al., 2016). Smad9 expression was completely reversed in the direction of the expression from 3xTg-AD vehicle (upregulated by log2 fold change = 3) to CBD-treated 3xTg-AD mice (downregulated by log2 fold change = 3). Furthermore, signaling pathways at AD onset that were primarily addressed with CBD treatment (e.g., embryonic stem cell pluripotency, adipogenesis, proliferation and myelination, and molecular mechanisms of cancer) centered on Smad9. As a target of miR-132 and miR-27a, Smad9 was also highlighted as a strong indicator of AD onset in our prior studies that had examined the molecular pathogenesis of cerebral vessels of aging 3xTg-AD animals (Chum et al., 2022, 2024). Although CBD treatment did not eliminate Prelp (Li and De Muynck, 2021) in 3xTg-AD animals, the extent of upregulation was decreased (log2 fold change in vehicle = 5.1 vs. CBD-treated = 2.7). Prelp is selectively expressed in vascular smooth muscle cells and pericytes and regulates cellular adhesion of integrity of the blood brain barrier (Davaapil et al., 2023). Although not as associated with AD per se, CBD also reversed expression of the angiogenic gene Angptl6 (Carbone et al., 2018) from down- to upregulated relative to 3xTg-AD vehicle mice.

Ion channels, receptors, and transporters

As with all chronic co-morbidities that ultimately develop from vascular aging and compromised perfusion of the central nervous system and periphery, AD is also a “channelopathy” in large part (Behringer, 2023). Cacna2d4 is an L-type voltage-dependent Ca²⁺ channel auxiliary subunit (α2/δ4) while a marker of AD and hyperhomocysteinemia (Wang et al., 2023). Tmem63c is an osmo-sensitive Ca²⁺-permeant cation channel and an early-stage biomarker of AD (Yaghoobi and Malekpour, 2024). Kcnk2 is a two-pore domain background K⁺ channel that can also mark brain atrophy per cognitive impairment and AD (Li and De Muynck, 2021; Le Guen et al., 2019). Gpr6 is an adenylate cyclase-activating GPCR (G_s) with CBD as an inverse agonist and has been proposed as a therapeutic target of AD and Parkinson's disease (Laun et al., 2019; Benoit et al., 2013). Oprd1 is a delta-type opioid GPCR (G_i/G_o) and is associated with slowing of oscillatory brain activity per AD (Macedo et al., 2021). Ntsr1 is a promiscuous neurotensin GPCR (G_s, G_q/11, G_i/o, and G_12/13) with altered expression in concert with the appetite stimulant ghrelin during AD (Gahete et al., 2010). Cckbr is a GPCR (G_q and G_i) for gastrin and cholecystokinin while integrated with the activities of several other receptors such as the AMPA ionotropic and metabotropic glutamate receptors and CB1Rs for governing excitatory long-term potentiation (Asim et al., 2024). Tacr3 is a GPCR (G_αq) for neurokinin B that governs cholinergic activity underlying learning and memory (de Souza Silva et al., 2013). Gria4 is an AMPA ionotropic glutamate receptor and may contribute to excitotoxicity during AD (Jacob et al., 2007; Bereczki et al., 2018). As a negative regulator of Gria4, miR-27a coincidentally decreases in expression in cerebral vessels of overall AD vs. pre-AD pathology in 3xTg-AD mice as well (Chum et al., 2022, 2024). Npsr1 is a neuropeptide GPCR (G_q and G_s) of the vasopressin/oxytocin subfamily and is a target of early-stage AD (Gazestani et al., 2023; Wallace et al., 2024). As upregulated during AD onset in the absence of CBD treatment, both Rgs7 and its binding protein Rgs7bp play a role in opioid, dopamine, and adrenergic GPCRs as the G_αi/o-type (Masuho et al., 2013). Rgs7 in particular has been associated with aberrant copper metabolism during AD (Squitti et al., 2023). Chrna2 is a nicotinic cholinergic receptor subunit and is a clinical target for AD (Xu et al., 2021), with specific polymorphisms noted for Chinese (Ding et al., 2023) and Korean (Kim et al., 2024) populations. As with α7-containing nicotinic cholinergic receptors, CBD may suppress Chrna2 expression or activity (Demontis et al., 2019). As a hub gene of early-stage AD (Wang et al., 2024c), Slc17a7 is a multifunctional transporter of glutamate and several ionic species as Na⁺, K⁺, H⁺, Cl⁻, and ${\text{PO}}_4^{3-}$ (Aihara et al., 2000). Other notable receptor and ion channel DEGs addressed by CBD treatment in 3xTg-AD animals included regulatory proteins Necab2 [for adenosine A_2A and metabotropic glutamate type 5 receptors (Xie et al., 2022)] and Gprasp2 [for M1 muscarinic acetylcholine and calcitonin receptors (Edfawy et al., 2019)]; the H⁺-gated, Na⁺ permeant ion channel Asic4 (Lin et al., 2015); and the voltage-gated K⁺ channels Kcng2 (Guo et al., 2023) and Kcnq4 (Lee et al., 2021).

For scaffolding of plasma membrane proteins, Tamalin (or GRASP) is a molecular scaffold for group 1 metabotropic glutamate receptors and the guanine nucleotide exchange factor cohesins (Kitano et al., 2002). Tamalin is also required for the survival of neurons and oligodendrocytes (Seo et al., 2022). Lin7a is a synaptic protein involved in the distribution of receptors and ion channels in the plasma membrane, whereby its upregulation and downregulation in expression indicate early- and late-stage AD, respectively, as paired with progressive Braak stages (Hondius et al., 2016).

Mitochondrial genes

In response to the increasing prevalence of AD (Cummings et al., 2025), mitochondrial biology and medicine is also developing rapidly for contemporary biomedical research (D'Alessandro et al., 2025; Mosharov et al., 2025). As an upregulated hub gene in AD patients (Liu et al., 2020) and the current study using 3xTg-AD animals, Acacb catalyzes carboxylation of acetyl-CoA to malonyl-CoA as the rate-limiting step in fatty acid synthesis. Ndufa7 is the NADH; ubiquinone oxidoreductase subunit A7 in complex I of the mitochondrial electron transport chain (ETC), whereby its dysregulated expression may underlie metabolic disorders during AD (Haytural et al., 2021). Cox7a2 is cytochrome c oxidase subunit 7A2 in complex IV of the ETC and catalyzes electron transfer from reduced cytochrome c to oxygen, whereby its altered expression can correlate amyloid plaque burden per AD (Ji et al., 2022; Bi et al., 2018). Gls2 is a mitochondrial glutaminase enzyme that decomposes glutamine into glutamate and ammonia while potentially contributing to ferroptosis during AD (Wang et al., 2022a). Pld6 (or mitoPLD) is a mitochondrial cardiolipin hydrolase and a component of the dysregulated lipidome with AD (Jin et al., 2006; Chan et al., 2012). Another notable mitochondrial DEG addressed by CBD treatment in 3xTg-AD animals included Timm8b as a translocase of the inner mitochondrial membrane (Wang et al., 2024a).

Inflammation and oxidative stress

Inflammation and oxidative stress have been well-established as major pathological contributors of AD (Amelimojarad et al., 2024; Bhandari et al., 2024). The CBD upregulation of Tagln3 likely results in decreased inflammation by inhibiting nuclear factor kappa B (NF-κB) activation (Arnaud et al., 2022; Atalay Ekiner et al., 2022). Scg5 is a chaperone protein (and copper metabolism indicator) that prevents aggregation of other secreted proteins; expression decreases with severity of AD (Zhuang et al., 2024) or cerebral amyloid angiopathy (Vervuurt et al., 2024). Aberrant Wfs1 expression is an indicator of endoplasmic reticulum stress while associated with tau pathology (Chen et al., 2022b) and may be addressed by stimulation of CB1R (McDew-White et al., 2023). Ncr1 is an immune receptor that distinguishes cognitive non-resilience vs. resilience among APOE4 carriers, prone to development of AD (Walker et al., 2024). Esr1 is estrogen receptor 1 involved at the intersection of oxidative stress and AD (Zhou et al., 2024), while underlying agitation as a behavioral phenotype in particular (Fisher et al., 2024). As demonstrated in the current study for AD onset, CBD may prevent Esr1 downregulation in response to unpredictable chronic mild stress (Bright and Akirav, 2025). Scara3 is a macrophage scavenger receptor induced by oxidative stress while overlapping in prominent expression among AD and gastrointestinal disorders (e.g., gastroesophageal reflux disease; Adewuyi et al., 2022). Finally, F12 is coagulation factor XII that bridges circulating amyloid with inflammation via kallikrein-mediated cleavage of kininogen to produce bradykinin (Zamolodchikov et al., 2015).

Lipid and carbohydrate metabolism

Dysregulated transport and metabolism of lipids and carbohydrates involving conditions such as atherosclerosis and type II diabetes are commonly integrated with the development of AD (de Oliveira et al., 2024; Kale et al., 2024). Mgat3 is an enzyme (N-acetylglucosaminyltransferase III or GnT-III) that stimulates lipid droplet growth and is involved in amyloid phagocytosis and may be up- or downregulated among subpopulations of AD patients (Fiala et al., 2011). Although not detected as a DEG in the cross-sectional analyses among 3xTg-AD vs. wild-type mice (only longitudinal among respective groups), the fatty acid synthase gene Fasn (Ates et al., 2020) was also removed in response to CBD treatment. Pcsk2 (or PC2) is a serine endopeptidase known for converting precursor prohormones and peptides to active hormones or neurotransmitters (e.g., α-melanocyte stimulating hormone, glucagon, and insulin), whereby its dysfunction may link diabetic pathology with AD (Barranco et al., 2021). Insm1 is a zinc finger DNA-binding protein normally involved in neurogenesis and neuroendocrine cell differentiation (Welcker et al., 2013). Prok2 is a crucial neuropeptide component of the circadian clock that may link insulin resistance, cardiovascular disease, and AD (Tian et al., 2022; Mortreux et al., 2019). St8sia3 is a sialyltransferase that catalyzes transfer of sialic acid among glycoproteins and glycolipids while implicated in glycan modifications with AD pathology (Zhang et al., 2024). Ppp1r3c is a protein phosphatase regulatory subunit that activates glycogen synthase while preventing glycogen breakdown, upregulated in response to stress sensed by norepinephrine release from the locus coeruleus (Privitera et al., 2024) and AD (Noh et al., 2014). As primarily identified and characterized for aberrant metabolism during cancer, the carbohydrate-binding protein Ppp1r3c may be sensitive to CBD treatment (Sun et al., 2023a). Finally, other longitudinal blood DEGs such as Mafa [insulin gene expression in pancreatic β cells (Kataoka et al., 2002)] and Mlxipl [regulates glycolysis and lipogenesis (Abdul-Wahed et al., 2017); involved in both AD and coronary artery disease (Loika et al., 2023)] were eliminated in response to CBD in 3xTg-AD animals.

Non-coding RNAs

Non-coding RNA biomarkers continue the promise of innovative diagnosis and therapy for chronic diseases such as AD while stable in the blood circulation (Tijsen et al., 2012). Non-coding RNAs in blood that consistently mark AD onset while sensitive to CBD include the miRNA MiR144 and the lncRNA Map2k3os. As regulated by the AP1 transcription factor sensitive to oxidative signaling, an increase Mir144 expression increases amyloid production by inhibiting expression of Adamt10 (Cheng et al., 2013). Increased expression of Map2k3os coincides with the development of tau pathology and loss of serotonergic neuronal loss (Kolling et al., 2025). Other notable lncRNAs that coincided with AD onset in 3xTg-AD animals and were addressed by CBD treatment include C920006O11Rik (Jia et al., 2020) and Lockd involved in the transcriptional regulation of the cyclin-dependent kinase inhibitor 1B (Cdkn1b) gene (Sung et al., 2018).

Brain and blood transcriptome cross-sectional correlations

Cross-sectional transcriptomic correlations were also examined in blood and brain samples at AD onset in 3xTg-AD mice relative to other age-matched study groups to ascertain relationships among biomarker DEGs present in the blood circulation and central nervous system. The AD-selective genes in brain samples during the onset of AD in 3xTg-AD mice relative to age-matched wild-type animals primarily encompassed immunity as Rnase6 (Seto et al., 2022; Bolivar et al., 2024), Ms4a1 (Deming et al., 2019), Ccr1/6 (Halks-Miller et al., 2003; Subramanian et al., 2010; D'Angelo et al., 2020), Ifi204 (Green et al., 2022), Cxcl13 (Karaahmet et al., 2022), C5ar2 (Carvalho et al., 2022), Nlrc4 (Saadi et al., 2020), Serpina3n (Saroja et al., 2022), Il15 (Clark et al., 2021; Janelidze et al., 2018), and Osm (Yu et al., 2023; Whelan et al., 2019). In addition, there were oxidative stress genes indicated as Osgin1 as an apoptotic regulator via mitochondrial cytochrome c release (Kang et al., 2023) and Aqp6 as a transmembrane H₂O channel also permeant to H₂O₂ (Amro et al., 2023). As downregulated in 3xTg-AD animals, Pla2g4e is a cytosolic phospholipase known to confer cognitive resilience and resistance to development of AD (Perez-Gonzalez et al., 2020). As upregulated in 3xTg-AD animals, Exoc3l2 is an endothelial factor involved in angiogenesis [upregulated by vascular endothelial growth factor (Vegfa)] and with gene mutations associated in AD pathology of human subjects (Wu et al., 2017; Seshadri et al., 2010). The Ca²⁺-activated K⁺ channel Kcnn4 (or K_Ca3.1) was also upregulated as consistent with past observations of microglial activation and inflammation (Maezawa et al., 2012) and enhanced electrical dynamics of cerebrovascular endothelial cell function (Hakim and Behringer, 2020) per AD pathology. As a precise downregulated match among both blood and brain components of 3xTg-AD relative to age-matched wild-type animals, the ubiquitin gene Ubc can mark AD in human subjects (Nguyen et al., 2024). However, note that other DEGs in blood appeared as homologs to the observed AD DEGs in the brains of 3xTg-AD mice as Rnase1, Ms4a4b, Ccr5/9, Aqp11, Usp46, Cxcl14, Ms4a7, and Kcnn3. Remarkably, all AD-selective DEGs in the brain were addressed in the CBD-treated 3xTg-AD group with the exception of the ubiquitin gene Usp18 (Widjaya et al., 2023; Xiang et al., 2018).

Other notable genes commonly regulated among the blood and brain compartments for 3xTg-AD animals include Bub1b [cell division, sister chromatid to spindle microtubule attachment (Yang et al., 2017)], Eif3j2 [translation from mRNA to protein (Egorova et al., 2021)], H4c17 [chromatic packaging and function (Zhang et al., 2022)], Mrps12 [mitochondrial protein synthesis (Qiu et al., 2021)], Apol11b [or A330102K04Rik; lipid binding and Cl⁻ channel activity, very low- and high-density lipoprotein particles (Koury et al., 2007)], Gbp2b [host defense to bacterial infection (Yu et al., 2022)], and Eno1b as a pseudogene marker for α-enolase. Finally, one gene Col6a4 [collagen binding in the extracellular matrix (Andres-Benito et al., 2023)] was regulated in opposite directions in brain (up) relative to blood (down) in marking DEGs among 3xTg-AD vs. wild-type mice.

Brain metabolome

With blood samples dedicated to transcriptome analyses, we also sought to gather metabolite information from brain samples of all study groups, particularly with expectations in altered lipid (He et al., 2025) and immune (Ahmad et al., 2024) profiles per AD pathogenesis and CBD treatment. Notable fatty acid species in 3xTg-AD mice include 4-(stearoylamino) butanoic acid (GABA derivative) and 11,14,17-eicosatrienoic acid [precursor of eicosanoid synthesis per inflammation; tracks AD pathogenesis (Nasaruddin et al., 2018)]. Cis-5-tetradecenoylcarnitine is an acylcarnitine species while a potential indicator of accelerated aging and co-morbidities such as atherosclerosis (Liu et al., 2018) and type II diabetes (Zhao et al., 2020). Known markers of AD include the bile acid lithocholic acid (Ehtezazi et al., 2023; Marksteiner et al., 2018), the ceramide n-dodecanoyl sphinganine (Filippov et al., 2012). Disruptions in brain metabolism during AD may also be indicated by elevated fructose 6-phosphate (Johnson et al., 2020, 2023), orthophosphate (Landfield et al., 1991), and the purine xanthosine (Ansoleaga et al., 2015; Kaddurah-Daouk et al., 2013). Alterations in the phospholipid species sn-glycero-3-phosphoethanolamine may also track AD (Ahsanul Haque et al., 2023). Finally, as a potential therapeutic for AD via general reduction of neurodegenerative oxidants, lipids, and inflammation (Baranger et al., 2019; Moiseenok and Kanunnikova, 2023), pantetheine (monomeric form of pantethine) is an analog of pantothenic acid while an intermediate in the catabolism of coenzyme A.

Downregulated metabolites in 3xTg-AD animals vs. wild-type include a neuroprotective omega-3 fatty acid such as DHA (de Wilde et al., 2017) and its metabolite 14-hydroxy DHA (Do et al., 2023; Borkowski et al., 2021). As marked in 3xTg-AD animals, the nitro fatty acid 10-nitrooleate was also less in AD subjects relative to cognitively healthy subjects (Morris et al., 2019). Downregulated phospholipid species in 3xTg-AD animals include 1-(-docosahexaenoyl)-sn-glycero-3-phosphocholine, 1-Linoleoylglycerophosphocholine, lysophosphatidylethanolamine (Llano and Devanarayan, 2021), and a key component as choline (Yuan et al., 2022). Arachidonic acid metabolites (Shinto et al., 2022) include methyl arachidonate, 16-HETE, 18-HETE, 5-deoxy-J2-IsoP, 19-Hydroxy prostaglandin F2 (Ahmad et al., 2024), and epoxy-eicosatetraenoic acid (Fiala et al., 2025). Purines and respective metabolites include guanosine (Ugarte et al., 2015), inosine (Teixeira et al., 2020), and5′-S-methyl5′-thioinosine. Amino acid metabolites include 3-methylcrotonylglycine (leucine metabolite), 2-aminomuconate (tryptophan), 5-hydroxytryptophan (Kaddurah-Daouk et al., 2013; Tohgi et al., 1992), 4-hydroxyphenyllactic acid (tyrosine; Kaddurah-Daouk et al., 2013), reduced and oxidized glutathione (cysteine glutamate and glycine; Chen et al., 2022a), DL-methionine (Kaddurah-Daouk et al., 2013), N-acetylaspartic acid (Chen et al., 2000), and N-acetyl-L-2-aminoadipic acid (Rahimzadeh et al., 2024). A notable ketone body includes 3-hydroxybutanoate (also known as β-hydroxybutyrate; Han et al., 2025). Finally, decreased metabolites of pyruvate and the tricarboxylic acid cycle include acetylphosphate and 2-(acetamidomethylene)succinate, respectively. Relative to 3xTg-AD vehicle, all ≈100 metabolites that differentiated 3xTg-AD vs. wild-type vehicle mice were absent in CBD-treated 3xTg-AD animals with exception of phosphate, which was increased in 3xTg-AD relative wild-type vehicle but decreased in CBD-treated 3xTg-AD animals relative to 3xTg-AD vehicle.

Behavior

Although naturally a pathological feature of human subjects and not wild-type rodents (Baerresen et al., 2015), AD is indeed a cognitive disorder and, thus, we also assessed learning, spatial, exploratory, and organizational behavior (Hartman et al., 2001; Rudobeck et al., 2017). Overall, the 3xTg-AD mice demonstrated stunted spatial learning and memory patterns relative to age-matched wild-type progressively from 4.5 mo (cognitive impairment) to 6.5 mo (AD onset). With similar recognition of the overall MWM environment, the 3xTg-AD mice required more time and distance to travel through the apparatus with favoring long-term over short-term memory, whereby CBD treatment improved the latter. A deficient memory of the target zone in the maze is also mildly restored in response to CBD. For the OFT, distribution of time spent in outer vs. inner zones is highly variable in a randomized pattern among 3xTg-AD mice at both 4.5 and 6.5 mo, whereby the difference in the average percent time among respective areas is minimal. While also variable among individual animals, the overall distance traveled was higher in the 3xTg-AD relative to wild-type mice. Thus, the 3xTg-AD mice indicate signs of agitation and anxiety that is resistant to CBD treatment. As suggested by the nesting protocol, the organizational score is also slightly worse in 3xTg-AD mice with little to no apparent effect of CBD. Altogether, in our hands using a mouse model, dietary CBD has the potential to address deficiencies in spatial memory and learning but not necessarily anxiety-like or executive decision-making behavior. The relatively short, subtle 2-month time window from 4.5 to 6.5 mo, even in 3xTg-AD mice (Chum et al., 2022; Hakim and Behringer, 2020), should be a consideration for the mild phenotypical shifts observed throughout integrative behavioral analyses.

Experimental considerations

Note that the current study involved several limitations that should be taken into account as findings are interpreted by the reader. First, the 3xTg-AD mouse carries familial mutations of AD from conception as transgenes in amyloid precursor protein (APP; KM670/671NL) and microtubule-associated protein tau (MAPT; P301L) in combination with a knock-in mutation of presenilin 1 (PSEN1; M164V; Oddo et al., 2003; Javonillo et al., 2022). In contrast, >95% of human AD cases reflect sporadic or late-onset development of dementia pathology independent of the inheritance of rare, autosomal dominant gene mutations (Ulaganathan and Pitchaimani, 2023). Second, the role of biological sex for both 3xTg-AD and age-matched wild-type mice was not examined as female animals were not included. Third, histopathological analyses have not been included and paired with respective findings for -omics and behavioral analyses. Fourth, there remains a need for in-depth analyses of pharmacokinetic profiling (absorption, distribution, metabolism, and excretion) of CBD among multiple concentrations and dietary treatment durations. Fifth, as an untargeted, comprehensive molecular study, the main narrative of the manuscript does not completely unpack ambiguous findings for age-matched wild-type mice (e.g., decrease in annotated neurovascular coupling pathway in 6.5 mo relative to 4.5 mo) with and without CBD treatment. In turn, precise mechanisms underlying the CBD-sensitive downregulation of neuroprotective fatty acids (e.g., omega-3s) in the brains of 3xTg-AD mice relative to wild-type animals remain to be explored. Finally, immense investigative follow-up will be required for quantitation of corresponding functional changes per select differentially-expressed markers and their associated pathways.

Summary and conclusion

Alzheimer's disease is the most widely recognized form of neurodegenerative disease (Cummings et al., 2025) involving genome-wide alterations in synaptic development, maintenance, and remodeling (Oswald et al., 2017; Hondius et al., 2016); overlap and integration of the cardiovascular and nervous systems (Chum et al., 2024; Santisteban et al., 2023); cell receptors and ionic transport (Behringer, 2023; Joshi et al., 2024); and mitochondrial structure and metabolism (D'Alessandro et al., 2025; Mosharov et al., 2025). Furthermore, all major pathological contributors are integral to Alzheimer's disease pathogenesis as inflammation (Amelimojarad et al., 2024), oxidative stress (Bhandari et al., 2024), dyslipidemia (de Oliveira et al., 2024), and insulin resistance (Kale et al., 2024). Given these complex molecular underpinnings, the challenges of accurately diagnosing and effectively treating Alzheimer's disease remain immense, requiring comprehensive multi-omics approaches to understand its molecular pathogenesis. Our prior work examined non-coding and coding RNA markers of cerebrovascular remodeling Alzheimer's disease in 3xTg-AD animals with utility for tracking early-stage disease in particular (Chum et al., 2022, 2024). Thus, while ambitious, our current effort was to resolve significant transcriptomic and metabolomic shifts in a 2-month window of the animal's life and health span from the cognitive impairment phase to the onset of Alzheimer's disease (Oddo et al., 2003; Billings et al., 2005). In turn, we attempted to quantitate the molecular effects of daily dietary cannabidiol during this pathological shift as a broadly acting neurological therapeutic (Mallick et al., 2024) while concurrently in clinical trials for treatment of Alzheimer's disease in human subjects (Cummings et al., 2025). With concomitant analysis of blood and brain samples in a longitudinal or cross-sectional manner among study groups (with age-matched wild-type animals), ~1,000 genes and 100 metabolites marked the onset of Alzheimer's disease, whereby cannabidiol intake effectively eliminated or reversed expression of over 75% of significant markers. Based on our observations, we also maintain that the 3xTg-AD study model is a suitable surrogate for illuminating the molecular landscape of Alzheimer's disease, despite the disease itself manifested as a human condition and not of rodents. Altogether, with all details enclosed in the primary manuscript and Supplementary Files, we hereby conclude that the onset of Alzheimer's disease represents a molecular integration of neurovascular interactions, channelopathies, metabolic disturbances, and developmental genes gone awry with notable overlap among other neurological (e.g., Parkinson's and frontotemporal dementia) and non-neurological (e.g., cancer) conditions. Remarkably, chronic cannabidiol treatment has the potential to widely address and almost completely disrupt molecular signatures of the onset of Alzheimer's disease.

Data availability statement

The transcriptome data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus (Edgar et al., 2002; Barrett et al., 2013) and are accessible through GEO Series accession number GSE304212 (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE304212).

Ethics statement

The animal study was approved by Loma Linda University Institutional Animal Care and Use Committee. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

MB: Supervision, Conceptualization, Methodology, Data curation, Investigation, Software, Writing – original draft, Visualization, Validation, Resources, Writing – review & editing, Formal analysis. PC: Methodology, Resources, Writing – review & editing, Investigation, Validation, Supervision, Writing – original draft, Visualization, Data curation, Formal analysis, Software. FM: Methodology, Visualization, Validation, Software, Formal analysis, Investigation, Data curation, Writing – review & editing. AH: Validation, Investigation, Formal analysis, Data curation, Writing – review & editing. RH: Resources, Visualization, Conceptualization, Investigation, Validation, Formal analysis, Methodology, Supervision, Software, Data curation, Writing – review & editing. EB: Investigation, Conceptualization, Validation, Writing – review & editing, Methodology, Supervision, Software, Funding acquisition, Formal analysis, Resources, Visualization, Data curation, Writing – original draft, Project administration.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by National Institutes of Health (NIH; National Institute on Aging) grant R01AG073230 to EB.

Acknowledgments

The authors would like to thank Tally Largent-Milnes for early guidance on cannabinoid pharmacology and administration strategies of cannabidiol.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Gen AI was used in the creation of this manuscript.

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The content of this original article is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fnins.2025.1667585/full#supplementary-material

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