AMPK Cancer Research Results
AMPK, adenosine monophosphate-activated protein kinase: Click to Expand ⟱
| Source: |
| Type: |
AMPK: guardian of metabolism and mitochondrial homeostasis; Upon changes in the ATP-to-AMP ratio, AMPK is activated. (AMPK) is a key metabolic sensor that is pivotal for the maintenance of cellular energy homeostasis. It is well documented that AMPK possesses a suppressor role in the context of tumor development and progression by modulating the inflammatory and metabolic pathways.
-Activating AMPK can inhibit anabolic processes and the PI3K/Akt/mTOR pathway reducing glycolysis shifting toward Oxidative Phosphorlylation.
AMPK activators:
-metformin or AICAR
-Resveratrol: activate AMPK indirectly
-Berberine
-Quercetin: may stimulate AMPK
-EGCG: thought to activate AMPK
-Curcumin: may activate AMPK
-Ginsenosides: Some ginsenosides have been associated with AMPK activation
-Beta-Lapachone: A natural naphthoquinone compound found in the bark of Tabebuia avellanedae (also known as lapacho or taheebo). It has been observed to activate AMPK in certain models.
-Alpha-Lipoic Acid (ALA): associated with AMPK activation
|
Scientific Papers found: Click to Expand⟱
*Inflam↓, *antiOx↑, *Ca+2↓, *BioAv↓, *BioAv↑, *BioAv↑, *angioG↑, *MAPK↓, *AMPK↓, *NF-kB↓, VEGF↓, PI3K↓, Akt↓, MMP2↓, Bcl-2↓, ERK↓,
*5LO↓, *TNF-α↓, *MMP3↓, *COX1↓, *COX2↓, *PGE2↓, *Th2↑, *Catalase↑, *SOD↑, *NO↑, *PGE2↑, *IL1β↓, *IL6↓, *Th1 response↓, *Th2↑, *iNOS↓, *NO↓, *p‑JNK↓, *p38↓, GutMicro↑, p‑Akt↓, GSK‐3β↓, cycD1/CCND1↓, Akt↓, STAT3↓, CSCs↓, AR↓, P21↑, DR5↑, CHOP↑, Casp3↑, Casp8↑, cl‑PARP↑, DNAdam↑, p‑RB1↓, FOXM1↓, TOP2↓, CDC25↓, p‑CDK1↓, p‑ERK↓, MMP9↓, VEGF↓, angioG↓, ROS↑, Cyt‑c↑, AIF↑, Diablo↑, survivin↓, ICAD↓, ChemoSen↑, SOX9↓, ER Stress↑, GRP78/BiP↑, cal2↓, AMPK↓, mTOR↓, ROS↓,
| - |
in-vitro, |
Pca, |
LNCaP |
|
|
|
- |
in-vitro, |
Pca, |
DU145 |
|
|
|
- |
in-vitro, |
Pca, |
PC3 |
|
|
|
TumCP↓, TumCG↓, TumCCA↑, AMPK↓, NF-kB↓, β-catenin/ZEB1↓, CREB↓, cycD1/CCND1↓, cycE/CCNE↓, CDK2↓, CDK4↓,
AntiCan↑, *AntiDiabetic↑, *neuroP↑, *Inflam↓, *antiOx↑, *BioAv↓, *BioAv↑, *SOD↑, *GPx↑, *GSH↑, *NRF2↑, *ROS↓, *lipid-P↓, *Cyt‑c↓, *BAX↓, *Bcl-2↓, *iNOS↓, *NO↓, *IL6↓, *IL10↓, *IL17↓, *IFN-γ↓, *NF-kB↓, *LC3II↓, *Akt↓, *Beclin-1↓, *AMPK↓, *TNF-α↓, *PGE2↓, *Apoptosis↓, *Casp3↓, *Casp9↓, *P53↓, *P21↓, *NAD↓, *ATP↓, *CHOP↓, *GADD34↓, *ATF4↓, tumCV↓, Apoptosis↑, TumCG↓, TumCI↓, TumMeta↓, CSCs↓, NOTCH1↓, STAT3↓, eff↑, miR-34a↓, *neuroP↑, *BDNF↓, *hepatoP↑, *ALAT↓, *AST↓, TG/TAG↓, ROS↑, Slug↓, EMT↓, Glycolysis↓, ChemoSen↑, P-gp↓, Ki-67↓, PCNA↓, ER Stress↑, TRIB3↑, NF-kB↑, TumMeta↑, *Imm↓, *toxicity↝,
*Akt↑, *AMPK↓, *TGF-β↓, eff↑, *BioEnh↑, *ATP↑, *PGC-1α↑, *p‑mTOR↑, *SMAD3↓,
| - |
in-vitro, |
Ovarian, |
SKOV3 |
|
|
|
TumCMig↓, TumCI↓, MDA↑, ROS↑, BAX↑, Casp3↑, Bcl-2↓, SREBP1↓, FASN↓, AMPK↓, p‑AMPK↑, p‑P53↑, p‑TSC2↑, p‑Akt↓, p‑mTOR↓, p‑S6K↓, p‑4E-BP1↓,
| - |
Review, |
Var, |
NA |
|
|
|
- |
Review, |
AD, |
NA |
|
|
|
- |
Review, |
Park, |
NA |
|
|
|
*Inflam↓, *antiOx↑, *neuroP↑, *IL6↓, *IL1β↓, *NF-kB↓, *PGE2↓, *COX2↓, *MMP↑, *memory↑, *ROS↓, *Aβ↓, *HMGB1↓, TumCG↓, MARK4↓, Zeb1↓, MDM2↓, BNIP3↑, ASC↑, NLRP3↓, PI3K↓, Akt↓, Casp1↓, E-cadherin↑, STAT3↓, TLR4↓, MMP↓, ICAM-1↓, AMPK↓, IL6↑, MMP2↓, Warburg↓, Bcl-xL↓, Bcl-2↓, TumCCA↑, EMT↓, TumMeta↓, mTOR↓, HSP27↓, Casp3↑, GlucoseCon↓, lactateProd↓, VEGF↓, p‑p65↓, GIT1↓, FOXM1↓, cycD1/CCND1↓, CDK4↓, MMP9↓, HDAC2↓,
*MDA↓, *H2O2↓, *Catalase↑, *SOD↑, *GSTs↑, *GSH↑, *NRF2↓, *ATG3↓, *AMPK↓, *ROS↓,
Showing Research Papers: 1 to 8 of 8
* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 8
Pathway results for Effect on Cancer / Diseased Cells:
Redox & Oxidative Stress(tgid=1) ⓘ
MDA↑, 1, ROS↓, 1, ROS↑, 3,
Mitochondria & Bioenergetics(tgid=3) ⓘ
AIF↑, 1, CDC25↓, 1, MMP↓, 1,
Core Metabolism/Glycolysis(tgid=4) ⓘ
AMPK↓, 4, p‑AMPK↑, 1, CREB↓, 1, FASN↓, 1, GlucoseCon↓, 1, Glycolysis↓, 1, lactateProd↓, 1, p‑S6K↓, 1, SREBP1↓, 1, Warburg↓, 1,
Cell Death(tgid=5) ⓘ
Akt↓, 3, p‑Akt↓, 2, Apoptosis↑, 1, BAX↑, 1, Bcl-2↓, 3, Bcl-xL↓, 1, Casp1↓, 1, Casp3↑, 3, Casp8↑, 1, Cyt‑c↑, 1, Diablo↑, 1, DR5↑, 1, ICAD↓, 1, MDM2↓, 1, survivin↓, 1,
Kinase & Signal Transduction(tgid=6) ⓘ
SOX9↓, 1, p‑TSC2↑, 1,
Transcription & Epigenetics(tgid=7) ⓘ
tumCV↓, 1,
Protein Folding & ER Stress(tgid=8) ⓘ
CHOP↑, 1, ER Stress↑, 2, GRP78/BiP↑, 1, HSP27↓, 1,
Autophagy & Lysosomes(tgid=9) ⓘ
BNIP3↑, 1,
DNA Damage & Repair(tgid=10) ⓘ
DNAdam↑, 1, p‑P53↑, 1, cl‑PARP↑, 1, PCNA↓, 1,
Cell Cycle & Senescence(tgid=11) ⓘ
p‑CDK1↓, 1, CDK2↓, 1, CDK4↓, 2, cycD1/CCND1↓, 3, cycE/CCNE↓, 1, P21↑, 1, p‑RB1↓, 1, TumCCA↑, 2,
Proliferation, Differentiation & Cell State(tgid=12) ⓘ
p‑4E-BP1↓, 1, CSCs↓, 2, EMT↓, 2, ERK↓, 1, p‑ERK↓, 1, FOXM1↓, 2, GSK‐3β↓, 1, HDAC2↓, 1, miR-34a↓, 1, mTOR↓, 2, p‑mTOR↓, 1, NOTCH1↓, 1, PI3K↓, 2, STAT3↓, 3, TOP2↓, 1, TumCG↓, 3,
Migration(tgid=13) ⓘ
cal2↓, 1, E-cadherin↑, 1, GIT1↓, 1, Ki-67↓, 1, MARK4↓, 1, MMP2↓, 2, MMP9↓, 2, Slug↓, 1, TRIB3↑, 1, TumCI↓, 2, TumCMig↓, 1, TumCP↓, 1, TumMeta↓, 2, TumMeta↑, 1, Zeb1↓, 1, β-catenin/ZEB1↓, 1,
Angiogenesis & Vasculature(tgid=14) ⓘ
angioG↓, 1, VEGF↓, 3,
Barriers & Transport(tgid=15) ⓘ
P-gp↓, 1,
Immune & Inflammatory Signaling(tgid=16) ⓘ
ASC↑, 1, ICAM-1↓, 1, IL6↑, 1, NF-kB↓, 1, NF-kB↑, 1, p‑p65↓, 1, TLR4↓, 1,
Protein Aggregation(tgid=19) ⓘ
NLRP3↓, 1,
Hormonal & Nuclear Receptors(tgid=20) ⓘ
AR↓, 1,
Drug Metabolism & Resistance(tgid=21) ⓘ
ChemoSen↑, 2, eff↑, 2,
Clinical Biomarkers(tgid=22) ⓘ
AR↓, 1, FOXM1↓, 2, GutMicro↑, 1, IL6↑, 1, Ki-67↓, 1, TG/TAG↓, 1, TRIB3↑, 1,
Functional Outcomes(tgid=23) ⓘ
AntiCan↑, 1,
Total Targets: 105
Pathway results for Effect on Normal Cells:
Redox & Oxidative Stress(tgid=1) ⓘ
antiOx↑, 3, Catalase↑, 2, GPx↑, 1, GSH↑, 2, GSTs↑, 1, H2O2↓, 1, lipid-P↓, 1, MDA↓, 1, NRF2↓, 1, NRF2↑, 1, ROS↓, 3, SOD↑, 3,
Mitochondria & Bioenergetics(tgid=3) ⓘ
ATP↓, 1, ATP↑, 1, MMP↑, 1, PGC-1α↑, 1,
Core Metabolism/Glycolysis(tgid=4) ⓘ
ALAT↓, 1, AMPK↓, 4, NAD↓, 1,
Cell Death(tgid=5) ⓘ
Akt↓, 1, Akt↑, 1, Apoptosis↓, 1, BAX↓, 1, Bcl-2↓, 1, Casp3↓, 1, Casp9↓, 1, Cyt‑c↓, 1, GADD34↓, 1, iNOS↓, 2, p‑JNK↓, 1, MAPK↓, 1, p38↓, 1,
Protein Folding & ER Stress(tgid=8) ⓘ
CHOP↓, 1,
Autophagy & Lysosomes(tgid=9) ⓘ
ATG3↓, 1, Beclin-1↓, 1, LC3II↓, 1,
DNA Damage & Repair(tgid=10) ⓘ
P53↓, 1,
Cell Cycle & Senescence(tgid=11) ⓘ
P21↓, 1,
Proliferation, Differentiation & Cell State(tgid=12) ⓘ
p‑mTOR↑, 1,
Migration(tgid=13) ⓘ
5LO↓, 1, Ca+2↓, 1, MMP3↓, 1, SMAD3↓, 1, TGF-β↓, 1,
Angiogenesis & Vasculature(tgid=14) ⓘ
angioG↑, 1, ATF4↓, 1, NO↓, 2, NO↑, 1,
Immune & Inflammatory Signaling(tgid=16) ⓘ
COX1↓, 1, COX2↓, 2, HMGB1↓, 1, IFN-γ↓, 1, IL10↓, 1, IL17↓, 1, IL1β↓, 2, IL6↓, 3, Imm↓, 1, Inflam↓, 3, NF-kB↓, 3, PGE2↓, 3, PGE2↑, 1, Th1 response↓, 1, Th2↑, 2, TNF-α↓, 2,
Synaptic & Neurotransmission(tgid=18) ⓘ
BDNF↓, 1,
Protein Aggregation(tgid=19) ⓘ
Aβ↓, 1,
Drug Metabolism & Resistance(tgid=21) ⓘ
BioAv↓, 2, BioAv↑, 3, BioEnh↑, 1,
Clinical Biomarkers(tgid=22) ⓘ
ALAT↓, 1, AST↓, 1, IL6↓, 3,
Functional Outcomes(tgid=23) ⓘ
AntiDiabetic↑, 1, hepatoP↑, 1, memory↑, 1, neuroP↑, 3, toxicity↝, 1,
Total Targets: 77
Scientific Paper Hit Count for: AMPK, adenosine monophosphate-activated protein kinase
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:1 prod#:% Target#:9 State#:% Dir#:1
wNotes=0 sortOrder:rid,rpid
Home Page