Celastrol / Warburg Cancer Research Results

Cela, Celastrol: Click to Expand ⟱
Features:

Celastrol — a quinone methide pentacyclic triterpenoid natural product isolated mainly from Tripterygium wilfordii and related Celastraceae plants. It is best classified as a pleiotropic redox-reactive small molecule with proteostasis-disrupting, anti-inflammatory, and anticancer activity. Standard abbreviations include Cel and CeT. In oncology, celastrol is best viewed as a preclinical multi-target stress inducer rather than a selective single-node inhibitor, with recurring emphasis on thiol-reactive proteostasis disruption, NF-κB suppression, ROS-linked mitochondrial injury, and context-dependent inhibition of STAT3 and PI3K/AKT signaling. Clinically important caveats are poor water solubility, poor oral bioavailability, rapid disposition, and a narrow therapeutic window that has driven strong interest in nanoformulations and conjugates.

Primary mechanisms (ranked):

  1. Proteostasis disruption with functional HSP90 inhibition and heat-shock response activation
  2. NF-κB pathway suppression through inhibition of pro-survival inflammatory signaling
  3. ROS elevation with mitochondrial dysfunction and intrinsic apoptosis
  4. JAK2/STAT3 axis inhibition in responsive tumor contexts
  5. Secondary down-modulation of PI3K/AKT/mTOR and related growth-survival signaling
  6. Context-dependent suppression of invasion, angiogenesis, and metastatic programs including CXCR4 and HIF-1-related outputs
  7. Chemosensitization and stress-vulnerability amplification in selected resistant tumor models

Bioavailability / PK relevance: Celastrol is practically insoluble or very poorly soluble in water, has poor oral bioavailability, and shows dose-limiting systemic toxicity; delivery systems are commonly used to improve exposure and reduce off-target injury.

In-vitro vs systemic exposure relevance: Many mechanistic and cytotoxicity studies use low-micromolar concentrations that are difficult to reproduce safely with conventional systemic dosing. Some pathway effects may still occur at lower exposures, but direct tumoricidal effects are often concentration-limited without advanced formulations.

Clinical evidence status: Strong preclinical oncology signal; early translational and formulation work; no approved cancer indication. Human clinical registration appears limited to non-oncology safety/other exploratory studies rather than established anticancer efficacy trials. *** Appears more useful used at lower doses in combined treatment approaches.

Celastrol—a bioactive compound extracted from traditional Chinese medicinal plants such as Tripterygium wilfordii (Thunder God Vine).

Pathways:
-inhibit NF-κB activation
-disrupt the function of chaperone proteins like HSP90 and HSP70, which are often overexpressed in cancer cells
-attenuate Akt phosphorylation and downstream mTOR signaling
-modulate components of the MAPK pathway, including ERK, JNK, and p38.
-increase intracellular ROS levels in cancer cells
-inhibiting STAT3

Celastrol mechanistic map in cancer

Rank Pathway / Axis Cancer Cells Normal Cells TSF Primary Effect Notes / Interpretation
1 HSP90 proteostasis disruption ↓ client protein stability; ↑ heat-shock stress ↑ stress response (dose-dependent) P/R Destabilization of oncogenic signaling networks Mechanistically central and industry-relevant. Celastrol behaves as a thiol-reactive disruptor of chaperone-dependent proteostasis rather than a highly selective kinase inhibitor.
2 NF-κB inflammatory survival signaling ↓ inflammatory tone R/G Reduced survival, proliferation, cytokine signaling, and invasion One of the most reproducible anticancer themes; also helps explain anti-inflammatory overlap outside oncology.
3 Mitochondrial ROS increase ↑ (primary; dose-dependent) ↑ (high concentration only) P/R Oxidative stress overload and stress sensitization The quinone methide scaffold is redox-reactive. ROS often acts upstream of mitochondrial depolarization, apoptosis, and therapy sensitization.
4 Mitochondria and intrinsic apoptosis MMP ↓; Bax/Bcl-2 balance toward apoptosis; caspases ↑ ↑ injury at higher exposure R/G Apoptotic tumor cell death Usually linked to ROS and proteotoxic stress rather than an isolated primary target.
5 JAK2 STAT3 signaling ↓ (context-dependent) R/G Reduced proliferation, survival, and inflammatory transcription Supported in multiple tumor models, including myeloma and more recent metastatic-cancer work, but not necessarily dominant in every model.
6 PI3K AKT mTOR axis ↓ (secondary) ↔ / ↓ R/G Anabolic and survival suppression Often appears downstream of broader stress and chaperone disruption.
7 Invasion metastasis and angiogenesis programs CXCR4 ↓; motility ↓; VEGF signaling ↓; HIF-1α ↔ (context-dependent) G Reduced metastatic competence and tumor vascular support HIF-1-related effects are mixed across sources and models; anti-invasive and anti-angiogenic effects are better supported than a uniform HIF-1α direction.
8 NRF2 antioxidant response ↑ adaptive defense or overwhelm (context-dependent) ↑ cytoprotective stress response R/G Bidirectional redox adaptation Relevant, but not a clean core anticancer mechanism. NRF2 activation can be protective in normal tissue yet may also buffer tumor oxidative stress in some settings.
9 Chemosensitization ↑ therapy response ↔ / toxicity risk G Overcoming resistance in selected models Supported especially where NF-κB/STAT3-dependent resistance is prominent; still largely preclinical.
10 Clinical Translation Constraint Exposure limited Toxicity limited Narrow therapeutic window Poor solubility, poor oral bioavailability, rapid metabolism/disposition, and organ-toxicity risk are major barriers to systemic oncology use.

TSF legend:
P: 0–30 min (direct redox/protein interactions)
R: 30 min–3 hr (acute stress and signaling shifts)
G: >3 hr (gene regulation and phenotype outcomes)



Warburg, Warburg Effect: Click to Expand ⟱
Source:
Type: effect

The Warburg effect (aerobic glycolysis) is a metabolic phenotype where many cancer cells use high glycolytic flux and lactate production even when oxygen is available. Tumors often contain hypoxic regions that further drive glycolysis, but Warburg metabolism can also occur under normoxic conditions (“pseudo-hypoxia”) via oncogenic signaling and metabolic rewiring.

Hypoxia-inducible factor 1 alpha (HIF-1α) is one important driver in hypoxic tumor regions. HIF-1α upregulates glycolytic genes (e.g., GLUT1, HK2, LDHA) and promotes reduced mitochondrial pyruvate oxidation in part through induction of PDK (which inhibits PDH), shifting carbon toward lactate.

Warburg effect (GLUT1, LDHA, HK2, and PKM2).
Classic HIF-Warburg axis: PDK1 and MCT4 (SLC16A3) (pyruvate gate + lactate export).

Here are some of the key pathways and potential targets:

Note: use database Filter to find inhibitors: Ex pick target HIF1α, and effect direction ↓

1.Glycolysis Inhibitors:(2-DG, 3-BP)
- HK2 Inhibitors: such as 2-deoxyglucose, can reduce glycolysis
-PFK1 Inhibitors: such as PFK-158, can reduce glycolysis
-PFKFB Inhibitors:
- PKM2 Inhibitors: (Shikonin)
-Can reduce glycolysis
- LDH Inhibitors: (Gossypol, FX11)
-Reducing the conversion of pyruvate to lactate.
-Inhibiting the production of ATP and NADH.
- GLUT1 Inhibitors: (phloretin, WZB117)
-A key transporter involved in glucose uptake.
-GLUT3 Inhibitors:
- PDK1 Inhibitors: (dichloroacetate)
- A key enzyme involved in the regulation of glycolysis. PDK inhibitors (e.g., DCA) activate PDH and shift pyruvate into TCA/OXPHOS, reducing lactate pressure.

2.Pentose phosphate pathway:
- G6PD Inhibitors: can reduce the pentose phosphate pathway

3.Hypoxia-inducible factor 1 alpha (HIF1α) pathway:
- HIF1α inhibitors: (PX-478,Shikonin)
-Reduce expression of glycolytic genes and inhibit cancer cell growth.

4.AMP-activated protein kinase (AMPK) pathway:
-AMPK activators: (metformin,AICAR,berberine)
-Can increase AMPK activity and inhibit cancer cell growth.

5.mTOR pathway:
- mTOR inhibitors:(rapamycin,everolimus)
-Can reduce mTOR activity and inhibit cancer cell growth.

Warburg Targeting Matrix (Cancer Metabolism)

Node What It Does (Warburg role) Representative Inhibitors / Modulators Mechanism Snapshot Typical Tumor Effects Best-Fit Tumor Context Common Constraints / Gotchas TSF Combination Logic
GLUT (glucose uptake)
GLUT1 (SLC2A1) focus
Controls glucose entry; sets the upper bound on glycolytic flux. Research/repurposing: WZB117 (GLUT1), BAY-876 (GLUT1), STF-31 (GLUT1 tool), Fasentin (GLUT), Phloretin (broad, weak)
Dietary/indirect: some polyphenols reported to lower GLUT1 expression (context)
Blocks glucose transport or reduces GLUT1 expression → less substrate for glycolysis & PPP. ATP stress (in highly glycolytic tumors), lactate ↓, growth slowdown; can sensitize to stressors. High-GLUT1 tumors; hypoxic / glycolysis-addicted phenotypes. Systemic glucose handling and glucose-dependent tissues; tumor compensation via alternate fuels. P, R Pairs with ROS/ETC stressors or LDH/MCT blockade; beware compensatory glutaminolysis/fatty acid oxidation.
Hexokinase (HK2)
first committed glycolysis step
Traps glucose as G-6-P; HK2 often upregulated and mitochondria-associated in tumors. Clinical/adjunct interest: 2-Deoxyglucose (2-DG; glycolysis + glycosylation stress)
Research: Lonidamine-class glycolysis axis drugs (not “pure HK2”), 3-bromopyruvate (hazardous research agent; not for casual use)
Competitive substrate mimic (2-DG) → 2-DG-6P accumulation; HK flux ↓; ER glycosylation stress ↑. ATP ↓, AMPK ↑, ER stress/UPR ↑, autophagy ↑, apoptosis (context); radiosensitization reported. Highly glycolytic tumors; tumors with strong HK2 dependence; hypoxic cores. Normal glucose-dependent tissues; ER-stress toxicities; dosing/tolerability limits in practice. P, R, G Pairs with radiation, pro-oxidant stress, or MCT/LDH blockade; watch systemic glucose effects.
LDH (LDHA/LDHB)
pyruvate ⇄ lactate
Regenerates NAD+ to sustain glycolysis; LDHA supports lactate production and acidification. Tier A direct inhibitors: FX11, (R)-GNE-140, NCI-006, Oxamate, Galloflavin, Gossypol
Tier B indirect: polyphenols (often lactate/LDH expression ↓ rather than catalytic inhibition)
Blocks LDH catalysis → NAD+ recycling ↓ → glycolysis throttles; pyruvate handling shifts; redox pressure ↑. Lactate ↓, glycolytic flux ↓, oxidative stress ↑ (often secondary), growth inhibition; immune microenvironment may improve if lactate decreases. LDHA-high tumors; lactate-driven immunosuppression; glycolysis-addicted phenotypes. Metabolic plasticity: tumors switch fuels; some LDH inhibitors have PK liabilities; “LDH release” ≠ LDH inhibition. R, G Pairs with MCT inhibition (trap lactate), NAD+ axis inhibitors, immune therapy (lactate suppression logic), and OXPHOS stressors (context).
MCT (lactate transport)
MCT1 (SLC16A1), MCT4 (SLC16A3)
Exports lactate + H+ (acidifies TME); enables lactate shuttling between tumor subclones. Clinical-stage: AZD3965 (MCT1 inhibitor; clinical trials)
Research: AR-C155858 (MCT1/2), Syrosingopine (MCT1/4; repurposed), Lonidamine (MCT + MPC axis)
Blocks lactate export/import → intracellular acid stress ↑ (in glycolytic cells) and lactate shuttling ↓. Acid stress, growth inhibition; may improve immune function by reducing lactate/acidic suppression (context). MCT1-high tumors; oxidative “lactate-using” tumor fractions; tumors with lactate shuttling. MCT4-driven export can bypass MCT1-only inhibitors; hypoxia upregulates MCT4; need target matching. P, R Pairs strongly with LDH inhibitors (cut production + block export), and with immune therapy rationale (lactate/acid microenvironment).
PDK (PDK1-4)
PDH gatekeeper
PDK inhibits PDH → keeps pyruvate out of mitochondria; supports Warburg by favoring lactate. Prototype: Dichloroacetate (DCA; pan-PDK inhibitor “classic”)
Research: AZD7545 (PDK2 inhibitor; tool), newer PDK inhibitor series (research)
Inhibits PDK → PDH active ↑ → pyruvate into TCA/OXPHOS ↑; lactate pressure ↓. Warburg reversal pressure (context), lactate ↓, mitochondrial flux ↑; can increase ROS in some settings (secondary). PDK-high tumors; tumors with suppressed PDH flux; “glycolysis locked” metabolic phenotype. Requires functional mitochondrial capacity; hypoxia can limit OXPHOS shift; effect is often modulatory rather than directly cytotoxic. R, G Pairs with therapies that exploit mitochondrial dependence or redox stress; can complement LDH/MCT strategies by reducing lactate drive.

Time-Scale Flag (TSF): P / R / G

  • P: 0–30 min (direct transport/enzyme flux effects begin)
  • R: 30 min–3 hr (acute ATP/NAD+/acid stress and signaling changes)
  • G: >3 hr (gene adaptation, phenotype outcomes, immune/TME effects)


Scientific Papers found: Click to Expand⟱
2392- Cela,    The role of natural products targeting macrophage polarization in sepsis-induced lung injury
- Review, Sepsis, NA
TNF-α↓, IL1β↓, IL6↓, Warburg↓, PKM2↓, NRF2↑, HO-1↑, NF-kB↓, iNOS↓, M1↓,
2393- Cela,    Celastrol mitigates inflammation in sepsis by inhibiting the PKM2-dependent Warburg effect
- in-vivo, Sepsis, NA - in-vitro, Nor, RAW264.7
OS↑, PKM2↓, Glycolysis↓, Warburg↓, Inflam↓, HMGB1↓, ALAT↓, AST↓, TNF-α↓, IL1β↓, IL6↓,

Showing Research Papers: 1 to 2 of 2

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 2

Pathway results for Effect on Cancer / Diseased Cells:


Redox & Oxidative Stress

HO-1↑, 1,   NRF2↑, 1,  

Core Metabolism/Glycolysis

ALAT↓, 1,   Glycolysis↓, 1,   PKM2↓, 2,   Warburg↓, 2,  

Cell Death

iNOS↓, 1,  

Immune & Inflammatory Signaling

HMGB1↓, 1,   IL1β↓, 2,   IL6↓, 2,   Inflam↓, 1,   M1↓, 1,   NF-kB↓, 1,   TNF-α↓, 2,  

Clinical Biomarkers

ALAT↓, 1,   AST↓, 1,   IL6↓, 2,  

Functional Outcomes

OS↑, 1,  
Total Targets: 18

Pathway results for Effect on Normal Cells:


Total Targets: 0

Scientific Paper Hit Count for: Warburg, Warburg Effect
Query results interpretion may depend on "conditions" listed in the research papers.
Such Conditions may include : 
  -low or high Dose
  -format for product, such as nano of lipid formations
  -different cell line effects
  -synergies with other products 
  -if effect was for normal or cancerous cells
Filter Conditions: Pro/AntiFlg:%  IllCat:%  CanType:%  Cells:%  prod#:317  Target#:947  State#:%  Dir#:%
wNotes=0 sortOrder:rid,rpid

 

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