Tetrahydrocannabinolic Acid a (THCA-A) Reduces Adiposity and Prevents Metabolic Disease Caused by Diet-Induced Obesity
Bibliographic record
Abstract
ABSTRACT Cannabis has remarkable therapeutic potential, but its clinical use is limited by the psychotropic activity of Δ 9 -tetrahydrocannabinol (Δ 9 -THC). Surprisingly, the biological profile of the non-narcotic native precursor of Δ 9 -THC (Δ 9 -THC acid A, Δ 9 -THCA-A) is still largely unexplored. We present evidence that Δ 9 -THCA-A is a partial and selective PPARγ modulator, endowed with lower adipogenic activity than the full PPARγ agonist rosiglitazone (RGZ) and with an enhanced osteoblastogenic activity in human mesenchymal stem cells. Docking and in vitro functional assays indicated that Δ 9 -THCA-A binds to and activates PPARγ by acting at both the canonical and the alternative sites of the ligand-binding domain. Transcriptomic signatures at inguinal white adipose tissue (iWAT) from mice treated with Δ 9 -THCA-A confirmed its mode of action on PPARγ. Administration of Δ 9 -THCA-A in a mouse model of high fat diet (HFD)-induced obesity significantly reduced fat mass and body weight gain, markedly ameliorating glucose intolerance and insulin resistance, and largely preventing liver steatosis, adipogenesis and macrophage infiltration in fat tissues. Additionally, immunohistochemistry, transcriptomic, and plasma biomarker analyses showed that treatment with Δ 9 -THCA-A caused browning of iWAT and displayed potent anti-inflammatory actions in HFD mice. Altogether, our data validate the potential of Δ 9 -THCA-A as a low adipogenic PPARγ agonist, capable of substantially improving the symptoms of obesity-associated metabolic syndrome and inflammation. These findings suggest that Δ 9 -THCA-A, and perhaps non-decarboxylated Cannabis sativa extracts, are worth considering for addition to our inventory of cannabis medicines. SIGNIFICANCE STATEMENT The medicinal use of Cannabis is gaining momentum, despite the adverse psychotropic effects of Δ 9 -THC, the decarboxylation product of its naturally occurring and non-psychotropic precursor Δ 9 -THCA-A. We present evidence that Δ 9 -THCA-A is a partial ligand agonist of PPARγ with lower adipogenic activity compared to the full PPARγ agonist rosiglitazone (RGZ). Moreover, chronic administration of Δ 9 -THCA-A in a mouse model of high fat diet (HFD)-induced obesity significantly reduced body weight gain and fat mass, improved glucose intolerance and insulin resistance, and prevented liver steatosis and macrophage infiltration in fat tissues, additionally inducing white adipose tissue browning. Collectively, these observations qualify Δ 9 -THCA-A, a compound devoid of psychotropic effects, as an efficacious pharmacological agent to manage metabolic syndrome and obesity-associated inflammation. Highlights - Δ 9 -THCA-A is a partial PPARγ ligand agonist with low adipogenic activity - Δ 9 -THCA-A enhances osteoblastogenesis in bone marrow derived mesenchymal stem cells. - Δ 9 -THCA-A reduces body weight gain, fat mass, and liver steatosis in HFD-fed mice - Δ 9 -THCA-A improves glucose tolerance, insulin sensitivity, and insulin profiles in vivo - Δ 9 -THCA-A induces browning of iWAT and has a potent anti-inflammatory activity
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".