Database Query Results : EGCG (Epigallocatechin Gallate), , Warburg

EGCG, EGCG (Epigallocatechin Gallate): Click to Expand ⟱
Features:
EGCG (Epigallocatechin Gallate) is found in green tea. 100 times more effective than Vitamin C and 25 times more effective than Vitamin E at protecting cells from damage associated with oxidative stress.
EGCG Epigallocatechin Gallate (Green Tea) -Catechin
Summary:
1. Concentration is a factor that could determine whether green tea polyphenols act as antioxidants or pro-oxidants.
2. Poor bioavailability: taking EGCG capsules without food was better.
3. Cancer dosage 4g/day (2g twice per day)? with curcumin may help (another ref says 700–2100 mg/d)
4. EGCG is susceptible to oxidative degradation.
5. “As for the pH level, the acidic environments enhance the stability of EGCG”.
6. “EGCG may enhance nanoparticle uptake by tumor cells”
7. Might be iron chelator (removing iron from cancer cells)
8. Claimed as synergistic effect with chemotherapy ( cisplatin, bleomycin, gemcitabine.
9. May suppress glucose metabolism, interfere with VEGF, downregulate NF-κB and MMP-9, down-regulation of androgen-regulated miRNA-21.
10. Take with red pepper powder, Capsicum ratio 25:1 (based on half life, they did every 4 hr) (chili pepper vanilloid capsaicin).
11. EGCG mediated ROS formation can upregulate CTR1 expression via the ERK1/2/NEAT1 pathway, which can increase the intake of chemotherapeutic drugs such as cisplatin in NSCLC cells and act as a chemosensitizer [58]
12. Matcha green tea has highest EGCG (2-3X) because consuming leaf.
13. EGCG is an ENOX2 inhibitor.
14. Nrf2 activator in both cancer and normal cells. This example of lung cancer show both directions in different cell lines, but both toward optimim level.
Biological activity, EGCG has been reported to exhibit a range of effects, including:
    Antioxidant activity: 10-50 μM
     Anti-inflammatory activity: 20-50 μM
     Anticancer activity: 50-100 μM
     Cardiovascular health: 20-50 μM
     Neuroprotective activity: 10-50 μM

Drinking a cup (or two cups) of green tea (in which one might ingest roughly 50–100 mg of EGCG from brewed tea) generally results in peak plasma EGCG concentrations in the range of approximately 0.1 to 0.6 μM.

With higher, supplement-type doses (e.g., oral doses in the 500 mg–800 mg range that are sometimes studied for clinical benefits), peak plasma concentrations in humans can reach the low micromolar range, often reported around ~1–2 μM and in some cases up to 5 μM.

Reported values can range from about 25–50 mg of EGCG per gram of matcha powder.
In cases where the matcha is exceptionally catechin-rich, the content could reach 200–250 mg or more in 5 g.

-Peak plasma concentration roughly 1 to 2 hours after oral ingestion.
-Elimination half-life of EGCG in plasma is commonly reported to be in the range of about 3 to 5 hours.

Supplemental EGCG
Dose (mg)   ≈ Peak Plasma EGCG (µM)
~50 mg          ≈ 0.1–0.3 µM
~100 mg         ≈ 0.2–0.6 µM
~250 mg         ≈ 0.5–1.0 µM
~500 mg         ≈ 1–2 µM
~800 mg or higher  ≈ 1–5 µM

50mg of EGCG in 1g of matcha tea(1/2 teaspoon)

Studies on green tea extracts have employed doses roughly equivalent to 300–800 mg/day of EGCG. Excessive doses can cause liver toxicity in some cases.

Methods to improve bioavailability
-Lipid-based carriers or nanoemulsions
-Polymer-based nanoparticles or encapsulation
-Co-administration with ascorbic acid (vitamin C)
-Co-administration of adjuvants like piperine (perhaps sunflower lecithin and chitosan) -Using multiple smaller doses rather than one large single dose.
-Taking EGCG on an empty stomach or under fasting conditions, or aligning dosing with optimal pH conditions in the GI tract, may improve its absorption.(acidic environment is generally more favorable for its stability and absorption).
– EGCG is more stable under acidic conditions. In the stomach, where the pH is typically around 1.5 to 3.5, EGCG is less prone to degradation compared to the more neutral or basic environments of the small intestine.
- At neutral (around pH 7) or alkaline pH, EGCG undergoes auto-oxidation, reducing the effective concentration available for absorption.
– Although the stomach’s acidic pH helps maintain EGCG’s stability, most absorption occurs in the small intestine, where the pH is closer to neutral.
– To counterbalance the inherent instability in the intestine, strategies such as co-administration of pH-modifying agents (like vitamin C) are sometimes used. These agents help to maintain a slightly acidic environment in the gut microenvironment, potentially improving EGCG stability during its transit and absorption.
– The use of acidifiers or buffering agents in supplements may help preserve EGCG until it reaches the absorption sites.

-Note half-life 3–5 hours.
- low BioAv 1%? despite its limited absorption, it is rapidly disseminated throughout the body
Pathways:
- induce ROS production
- ROS↑ related: MMP↓(ΔΨm), ER Stress↑, UPR↑, GRP78↑, Ca+2↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑, HSP↓, Prx,
- Does NOT Lower AntiOxidant defense in Cancer Cells: NRF2↑, TrxR↓**, SOD, GSH Catalase HO1 GPx
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓, Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, IGF-1↓, uPA↓, VEGF↓, FAK↓, RhoA↓, NF-κB↓, TGF-β↓, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMTs↓, EZH2↓, P53↑, HSP↓, Sp proteins↓,
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, cyclin E↓, CDK2↓, CDK4↓, CDK6↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, FAK↓, ERK↓, EMT↓, TOP1↓,
- inhibits glycolysis /Warburg Effect and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, PFKs↓, ECAR↓, OXPHOS↓, GRP78↑, Glucose↓, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, FGF↓, PDGF↓, EGFR↓, Integrins↓,
- inhibits Cancer Stem Cells : CSC↓, Hh↓, GLi↓, GLi1↓, CD133↓, CD24↓, β-catenin↓, n-myc↓, Notch↓, OCT4↓,
- Others: PI3K↓, AKT↓, JAK↓, STAT↓, Wnt↓, β-catenin↓, AMPK, ERK↓, JNK, - SREBP (related to cholesterol).
- Synergies: chemo-sensitization, chemoProtective, RadioSensitizer, RadioProtective, Others(review target notes), Neuroprotective, Cognitive, Renoprotection, Hepatoprotective(possible damage at high dose), CardioProtective,

- Selectivity: Cancer Cells vs Normal Cells

Rank Pathway / Axis Cancer Cells Normal Cells Label Primary Interpretation Notes
1 Reactive oxygen species (ROS) ↑ ROS (dose-, metal-, context-dependent) ↓ ROS / buffered Conditional Driver Biphasic redox modulation EGCG can act as a pro-oxidant in cancer cells (often metal-catalyzed) while functioning as an antioxidant in normal cells
2 Mitochondrial integrity / intrinsic apoptosis ↓ ΔΨm; ↑ caspase activation ↔ preserved Driver Execution of intrinsic apoptosis Mitochondrial stress and apoptosis follow ROS elevation in cancer cells
3 NF-κB signaling ↓ NF-κB activation ↓ inflammatory NF-κB tone Driver Suppression of survival and inflammatory transcription NF-κB inhibition explains chemosensitization and reduced survival signaling
4 PI3K → AKT → mTOR axis ↓ AKT / ↓ mTOR ↔ adaptive suppression Secondary Reduced growth and anabolic signaling AKT/mTOR inhibition contributes to growth suppression and stress responses
5 MAPK stress signaling (JNK / p38) ↑ JNK / ↑ p38 ↔ minimal Secondary Stress-activated apoptosis signaling MAPK activation often follows ROS increase and supports apoptotic signaling
6 Cell cycle regulation ↑ G1 or G2/M arrest ↔ largely spared Phenotypic Cytostatic growth control Cell-cycle arrest reflects upstream signaling disruption rather than direct CDK inhibition
7 HIF-1α / VEGF hypoxia–angiogenesis axis ↓ HIF-1α; ↓ VEGF ↔ minimal Secondary Anti-angiogenic pressure EGCG interferes with hypoxia-driven tumor adaptation
8 NRF2 antioxidant response ↑ NRF2 (adaptive, often insufficient) ↑ NRF2 (protective) Adaptive Stress compensation NRF2 reflects response to redox perturbation rather than a kill mechanism


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⟱
649- EGCG,  CUR,  PI,    Targeting Cancer Hallmarks with Epigallocatechin Gallate (EGCG): Mechanistic Basis and Therapeutic Targets
- Review, Var, NA
*BioEnh↑, increase EGCG bioavailability is using other natural products such as curcumin and piperine
EGFR↓,
HER2/EBBR2↓,
IGF-1↓,
MAPK↓,
ERK↓, reduction in ERK1/2 phosphorylation
RAS↓,
Raf↓, Raf-1
NF-kB↓, Numerous investigations have proven that EGCG has an inhibitory effect on NF-κB
p‑pRB↓, EGCG were displayed to reduce the phosphorylation of Rb, and as a result, cells were arrested in G1 phase
TumCCA↑, arrested in G1 phase
Glycolysis↓, EGCG has been found to inhibit key enzymes involved in glycolysis, such as hexokinase and pyruvate kinase, thereby disrupting the Warburg effect and inhibiting tumor cell growth
Warburg↓,
HK2↓,
Pyruv↓,


* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 1

Pathway results for Effect on Cancer / Diseased Cells:


Mitochondria & Bioenergetics

Raf↓, 1,  

Core Metabolism/Glycolysis

Glycolysis↓, 1,   HK2↓, 1,   Pyruv↓, 1,   Warburg↓, 1,  

Cell Death

MAPK↓, 1,  

Kinase & Signal Transduction

HER2/EBBR2↓, 1,  

Transcription & Epigenetics

p‑pRB↓, 1,  

Cell Cycle & Senescence

TumCCA↑, 1,  

Proliferation, Differentiation & Cell State

ERK↓, 1,   IGF-1↓, 1,   RAS↓, 1,  

Angiogenesis & Vasculature

EGFR↓, 1,  

Immune & Inflammatory Signaling

NF-kB↓, 1,  

Clinical Biomarkers

EGFR↓, 1,   HER2/EBBR2↓, 1,  
Total Targets: 16

Pathway results for Effect on Normal Cells:


Drug Metabolism & Resistance

BioEnh↑, 1,  
Total Targets: 1

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#:73  Target#:947  State#:%  Dir#:%
wNotes=on sortOrder:rid,rpid

 

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