Cancer Database Query Results

Scientific Papers found: Click to Expand⟱

4375-

AgNPs,

The cellular uptake and cytotoxic effect of silver nanoparticles on chronic myeloid leukemia cells

in-vitro,

AML,

K562

eff↑, ROS↑, Apoptosis↑, eff↓,

4374-

AgNPs,

Enhancing antitumor activity of silver nanoparticles by modification with cell-penetrating peptides

in-vitro,

BC,

MCF7

eff↑, TumCD↑,

4373-

AgNPs,

In vitro toxicity of silver nanoparticles at noncytotoxic doses to HepG2 human hepatoma cells

in-vitro,

Liver,

HepG2

TumCD↑,

4372-

AgNPs,

Negligible particle-specific toxicity mechanism of silver nanoparticles: the role of Ag+ ion release in the cytosol

in-vitro,

Cerv,

HeLa

in-vitro,

Lung,

A549

TumCD↑,

4371-

AgNPs,

Effects of Green Silver Nanoparticles on Apoptosis and Oxidative Stress in Normal and Cancerous Human Hepatic Cells in vitro

in-vitro,

Liver,

HUH7

20−50 nm

eco-friendly approach silver nanoparticles (AgNPs) using root extracts of Beta vulgaris L.

ROS↑, selectivity↑, DNAdam↑, Apoptosis↑, GSH↓, lipid-P↑, MMP↓, DNAdam↑,

4370-

AgNPs,

Effect of silver nanoparticles in the induction of apoptosis on human hepatocellular carcinoma (HepG2) cell line

in-vitro,

Liver,

HepG2

 30.71 nm

75 μg/mL

tumCV↓, ROS↑, Apoptosis↑,

4369-

AgNPs,

Silver nanoparticles induce p53-mediated apoptosis in human bronchial epithelial (BEAS-2B) cells

in-vitro,

Nor,

BEAS-2B

*ROS↑,

4368-

AgNPs,

Silver nanoparticles crossing through and distribution in the blood-brain barrier in vitro

NA,

Nor,

*BBB↑,

4367-

AgNPs,

Effects of Prolonged Silver Nanoparticle Exposure on the Contextual Cognition and Behavior of Mammals

in-vivo,

Nor,

Eighty C57Вl/6 eight-week-old male mice

*other↝,

4366-

AgNPs,

Gut Dysbiosis and Neurobehavioral Alterations in Rats Exposed to Silver Nanoparticles

in-vivo,

Nor,

 Sprague-Dawley male rats for two weeks

*GutMicro↝,

4365-

AgNPs,

Biomedical Applications of Silver Nanoparticles: An Up-to-Date Overview

Review,

Var,

ROS↑, *toxicity↓, *Bacteria↓, *Inf↓, *Diff↑, *eff↑, RadioS↑, selectivity↑,

4383-

AgNPs,

Exploring the Potentials of Silver Nanoparticles in Overcoming Cisplatin Resistance in Lung Adenocarcinoma: Insights from Proteomic and Xenograft Mice Studies

in-vitro,

Lung,

A549

AgNPs was 23.45 nm, with zeta potentials lying on −20.33 mV.

in-vivo,

Lung,

A549

A549 and A549/DDP-bearing mice

Apoptosis↑, VEGF↓, P53↓, TumCCA↑, ROS↑, AntiTum↑, eff↑, ATP↓, eff↑, CTR1↑,

4661-

AgNPs,

Silver nanoparticles induces apoptosis of cancer stem cells in head and neck cancer

in-vitro,

HNSCC,

TumCD↑, CSCs↝,

4552-

AgNPs,

ART/DHA,

Green synthesis of silver nanoparticles using Artemisia turcomanica leaf extract and the study of anti-cancer effect and apoptosis induction on gastric cancer cell line (AGS)

in-vitro,

GC,

AGS

AntiCan↑, Apoptosis↑, eff↑,

4564-

AgNPs,

GoldNP,

Cu,

Chemo,

PDT

Cytotoxicity and targeted drug delivery of green synthesized metallic nanoparticles against oral Cancer: A review

Review,

Var,

ROS↑, DNAdam↑, TumCCA↑, eff↑, Apoptosis↑, eff↓, ChemoSen↑,

4563-

AgNPs,

Rad,

Silver nanoparticles enhance neutron radiation sensitivity in cancer cells: An in vitro study

in-vitro,

BC,

MCF7

in-vitro,

Ovarian,

SKOV3

in-vitro,

GBM,

U87MG

in-vitro,

Melanoma,

A431

RadioS↑, ROS↑, TumCCA↑, Apoptosis↑, ER Stress↑,

4562-

AgNPs,

VitC,

Eco-friendly Synthesis of Silver Nanoparticles using Ascorbic Acid and its Optical Characterization

Study,

NA,

*other↑, *other↝,

4561-

AgNPs,

VitC,

Cellular Effects Nanosilver on Cancer and Non-cancer Cells: Potential Environmental and Human Health Impacts

in-vitro,

CRC,

HCT116

in-vitro,

Nor,

HEK293

NRF2↑, TumCCA↑, ROS↑, selectivity↑, *AntiViral↑, *toxicity↝, ETC↓, MMP↓, DNAdam↑, Apoptosis↑, lipid-P↑, other↝, UPR↑, *GRP78/BiP↑, *p‑PERK↑, *cl‑eIF2α↑, *CHOP/DDIT3↑, *JNK↑, Hif1a↓, AntiCan↑, *toxicity↓, eff↑,

4560-

AgNPs,

Exploiting antidiabetic activity of silver nanoparticles synthesized using Punica granatum leaves and anticancer potential against human liver cancer cells (HepG2)

in-vitro,

Liver,

HepG2

in-vitro,

Diabetic,

AntiCan↑, Dose↝, *antiOx↑, *AntiDiabetic↑, *Bacteria↓,

4559-

AgNPs,

Anticancer activity of biogenerated silver nanoparticles: an integrated proteomic investigation

in-vitro,

BC,

SkBr3

IC50 value of 5 μg/ml

in-vitro,

CRC,

HT-29

in-vitro,

CRC,

HCT116

in-vitro,

Colon,

Caco-2

MMP2↓, MMP9↓, ROS↑, TumAuto↑, Apoptosis↑, ER Stress↑,

4558-

AgNPs,

Role of Oxidative and Nitro-Oxidative Damage in Silver Nanoparticles Cytotoxic Effect against Human Pancreatic Ductal Adenocarcinoma Cells

in-vitro,

PC,

PANC1

3.19 ug/mL

ROS↑, selectivity↑, NO↑, SOD↓, GPx4↓, Catalase↓, TumCCA↑, MMP↓,

4557-

AgNPs,

The apoptotic effect of nanosilver is mediated by a ROS- and JNK-dependent mechanism involving the mitochondrial pathway in NIH3T3 cells

in-vitro,

NA,

NIH-3T3

in-vitro,

CRC,

HCT116

Cyt‑c↑, ROS↑, JNK↑,

4556-

AgNPs,

Biofilm Impeding AgNPs Target Skin Carcinoma by Inducing Mitochondrial Membrane Depolarization Mediated through ROS Production

in-vitro,

Melanoma,

A431

MMP↓, ROS↑, *toxicity↓, Bacteria↓,

4555-

AgNPs,

Silver nanoparticles from Dendropanax morbifera Léveille inhibit cell migration, induce apoptosis, and increase generation of reactive oxygen species in A549 lung cancer cells

in-vitro,

Lung,

A549

in-vitro,

Liver,

HepG2

*Bacteria↓, tumCV↓, selectivity↑, ROS↑, Apoptosis↑, TumCMig↓, AntiCan↑,

4554-

AgNPs,

Involvement of telomerase activity inhibition and telomere dysfunction in silver nanoparticles anticancer effects

in-vitro,

Cerv,

HeLa

Telomerase↓, eff↝,

4553-

AgNPs,

Cytotoxicity induced by engineered silver nanocrystallites is dependent on surface coatings and cell types

in-vitro,

Nor,

RAW264.7

*Wound Healing↑, *eff↝, *toxicity↝,

4539-

AgNPs,

VitC,

Citrate,

Investigating the Anti-cancer Potential of Silver Nanoparticles Synthesized by Chemical Reduction of AgNO3 Using Trisodium Citrate and Ascorbic Acid

in-vitro,

Nor,

L929

average diameter of 30 nm

in-vitro,

Ovarian,

SKOV3

AntiCan↑,

4551-

AgNPs,

FBZ,

Ångstrom-Scale Silver Particles as a Promising Agent for Low-Toxicity Broad-Spectrum Potent Anticancer Therapy

in-vivo,

Lung,

mice

eff↑, eff↑, Apoptosis↑, selectivity↓, TumCG↓,

4550-

AgNPs,

The Effect of Charge at the Surface of Silver Nanoparticles on Antimicrobial Activity against Gram-Positive and Gram-Negative Bacteria: A Preliminary Study

Study,

Nor,

*Bacteria↓,

4549-

AgNPs,

Silver nanoparticles: Synthesis, medical applications and biosafety

Review,

Var,

Review,

Diabetic,

ROS↑, eff↑, other↝, DNAdam↑, EPR↑, eff↑, eff↑, TumMeta↓, angioG↓, *Bacteria↓, *eff↑, *AntiViral↑, *AntiFungal↑, eff↑, eff↑, TumCP↓, tumCV↓, P53↝, HIF-1↓, TumCCA↑, lipid-P↑, ATP↓, Cyt‑c↑, MMPs↓, PI3K↓, Akt↓, *Wound Healing↑, *Inflam↓, *Bone Healing↑, *glucose↓, *AntiDiabetic↑, *BBB↑,

4548-

AgNPs,

Chit,

Synergistic combination of antioxidants, silver nanoparticles and chitosan in a nanoparticle based formulation: Characterization and cytotoxic effect on MCF-7 breast cancer cell lines

in-vitro,

BC,

MCF7

AntiCan↑, EPR↑, pH↝,

4547-

AgNPs,

GoldNP,

VitC,

Exploration of Biocompatible Ascorbic Acid Reduced and Stabilized Gold Nanoparticles, as Sensitive and Selective Detection Nanoplatform for Silver Ion in Solution

Study,

NA,

*eff↑,

4546-

AgNPs,

Chapter 2 - Silver nanoparticles in cancer therapy

Study,

Var,

AntiTum↑, Apoptosis↑,

4545-

AgNPs,

VitC,

Citrate,

Ascorbic Acid-assisted Green Synthesis of Silver Nanoparticles: pH and Stability Study

Study,

NA,

average size of
22.4 ± 13.2 nm

*other↝, *other↝, *eff↑, *eff↑,

4544-

AgNPs,

VitC,

Current Research on Silver Nanoparticles: Synthesis, Characterization, and Applications

Review,

Nor,

*Bacteria↓, *eff↑,

4543-

AgNPs,

Biogenic synthesis of silver nanoparticles using Zaleya pentandra and investigation of their biological activities

Study,

Nor,

*Bacteria↓,

4542-

AgNPs,

Silver Nanoparticles (AgNPs): Comprehensive Insights into Bio/Synthesis, Key Influencing Factors, Multifaceted Applications, and Toxicity─A 2024 Update

Review,

NA,

AntiCan↑, DNAdam↑, ATP↓, Apoptosis↑, ROS↓, TumCCA↑, *Bacteria↓, *BMD↑,

4541-

AgNPs,

RosA,

Eco-friendly synthesis of silver nanoparticles: multifaceted antioxidant, antidiabetic, anticancer, and antimicrobial activities

in-vitro,

Nor,

WI38

in-vitro,

BC,

MDA-MB-231

in-vitro,

PC,

PANC1

*antiOx↑, TumCD↓, selectivity↑,

4540-

AgNPs,

VitC,

Silver nanoparticles from ascorbic acid: Biosynthesis, characterization, in vitro safety profile, antimicrobial activity and phytotoxicity

in-vitro,

Nor,

*Bacteria↓, *selectivity↑,

4574-

AgNPs,

Advances in nano silver-based biomaterials and their biomedical applications

Review,

NA,

*Wound Healing↑, *AntiThr↑, *AntiAg↑, eff↑,

4600-

AgNPs,

Effects of particle size and coating on toxicologic parameters, fecal elimination kinetics and tissue distribution of acutely ingested silver nanoparticles in a mouse model

in-vivo,

Nor,

Mice

*Half-Life↝, *toxicity↓, *Dose↑, *other↝, *eff↝, *BioAv↓,

4599-

AgNPs,

ProBio,

Impacts of dietary silver nanoparticles and probiotic administration on the microbiota of an in-vitro gut model

in-vivo,

Nor,

*GutMicro∅, *chemoPv↑,

4598-

AgNPs,

In vivo human time-exposure study of orally dosed commercial silver nanoparticles

in-vivo,

Nor,

62 Human voluneers

*toxicity∅, *Dose↝, *Dose↝, *BioAv↝, *BioAv↝, *H2O2∅, *IL8∅, *IL1α∅, *IL1β∅, *MCP1/CCL2∅, *NQO1∅, *BioAv↓,

4596-

AgNPs,

Oral administration of silver nanomaterials affects the gut microbiota and metabolic profile altering the secretion of 5-HT in mice

in-vivo,

NA,

Mice

*GutMicro↝, *5HT↑,

4595-

AgNPs,

ORAL DELIVERY OF SILVER NANOPARTICLES – A REVIEW

Review,

NA,

*BioAv↝,

4594-

AgNPs,

Citrate,

Bioavailability and Toxicokinetics of citrate-coated silver nanoparticles in rats

in-vivo,

Nor,

rats

*BioAv↓,

4593-

AgNPs,

Chit,

Chitosan-coated silver nanoparticles promoted antibacterial, antibiofilm, wound-healing of murine macrophages and antiproliferation of human breast cancer MCF 7 cells

in-vitro,

BC,

MCF7

*Bacteria↓, *Wound Healing↑, TumCG↓,

4592-

AgNPs,

Chit,

Chitosan conjugated silver nanoparticles: the versatile antibacterial agents

in-vitro,

NA,

*Bacteria↓,

4591-

AgNPs,

Chit,

Synthesis and Characterization of Multifunctional Chitosan–Silver Nanoparticles: An In-Vitro Approach for Biomedical Applications

in-vitro,

NA,

*Bacteria↓, *Wound Healing↑,

4590-

AgNPs,

Chit,

Silver nanochitosan: a sustainable approach for enhanced antimicrobial, antioxidant, and anticancer applications

in-vitro,

NA,

*Bacteria↓, *Wound Healing↑,

Showing Research Papers: 251 to 300 of 8502
Prev Page 6 of 171 Next

* indicates research on normal cells as opposed to diseased cells
Total Research Paper Matches: 8502

Pathway results for Effect on Cancer / Diseased Cells:

Ingredients & Constituents(tgid=25) ⓘ

Api↑, 1,
Total Targets: 2867

Pathway results for Effect on Normal Cells:

NA, unassigned(tgid=0) ⓘ

12-HETE↓, 1, 15-LOX/ALOX15↓, 1, 2/16-OHE1↑, 1, 3-NT↓, 1, 3MST/MPST↑, 1, 5-HETE↓, 1, ACADS/SCAD↑, 1, ACE/ACE1↓, 6, ACE2↓, 1, AcOH↑, 2, e-ADO↑, 1, AIF1/Iba-1↓, 2, Airway↓, 3, AirwayM↓, 4, AKR1B1/ALR2↑, 1, AKR1B10↝, 1, AKR1C3/17β-HSD5/PGF Synthase↑, 1, ALDOC↑, 1, Analgesic↑, 1, anemia↓, 1, AntiBio↓, 1, AntiBio↑, 61, antiM↑, 1, antiPy↑, 1, APOE4↓, 1, Ast↓, 2, autophagy↓, 2, autophagy↑, 1, autophagy↝, 1, Aβ42↓, 11, BALF-Infl↓, 3, BALF-Lym↓, 1, BDI↓, 1, Buty↑, 4, CBS↑, 1, CCL11↓, 1, CCr / CrCl↓, 1, CCr / CrCl∅, 1, CD19↑, 1, CES2↓, 1, CHRM1↑, 1, Cit/L-Cit↝, 1, colonLen↑, 1, compII↑, 1, CompStab↓, 2, CompStab↑, 1, compV↑, 1, cough?, 1, CryoP↑, 2, CXCL15↓, 1, CYP2C19↓, 1, CYP2C8↓, 1, CYP2D6↓, 2, DA↑, 1, DCR∅, 1, DHODH↓, 1, diuretic↑, 10, DUOX1↓, 1, Dysb↓, 2, Eic↓, 1, END↑, 2, ENL↑, 1, Eos↓, 7, FAM↑, 1, p‑FcεRI↓, 1, FEV1↑, 2, FFA/NEFA↓, 2, FFA/NEFA↝, 1, FNDC5↑, 1, FPN↑, 1, GAD1/GAD67↑, 1, GDNF↑, 1, GFAP↓, 5, GLP-1R↑, 1, GlyFlow↑, 3, GPER↑, 1, H+/K+-ATPase↓, 1, H3K9↓, 1, HRV↑, 1, IgE↓, 7, IgG1↓, 1, IL13↓, 7, IL1RL1/ST2↓, 1, ILC2↓, 1, Ingr?, 2, Ingr↝, 15, IPSS↓, 1, IRes↓, 3, IRes↑, 2, IRes↝, 1, Learn?, 1, Learn↑, 23, p‑LIMK1↑, 1, LPAR1/EDG2↑, 1, LTB4↓, 1, LTC4↓, 2, MEF2D↑, 1, MGlio↓, 1, miR-107↑, 1, miR-23a-3p↓, 1, p‑MLC2/MYL9↑, 1, MUC5AC↓, 1, Mucositis↓, 2, MYPT1 / PPP1R12A↑, 1, p‑MYPT1 / PPP1R12A↑, 1, NA↓, 1, NA↑, 1, NA↝, 2, Nausea↓, 1, NeuroI↓, 14, NGB↑, 1, NLR↓, 2, NMDAR↑, 1, p‑NMDAR↑, 1, NMSS↓, 1, NOD1↓, 1, NOX1↓, 1, NOX2↓, 3, ODC1↝, 1, ONOO↓, 1, ORR∅, 1, P-sel↓, 1, PA↑, 2, PAF↓, 2, PAF↑, 2, PCO↓, 1, PEF↑, 1, PFS∅, 1, PLA2↓, 2, PSEN1/PS1↓, 2, PSEN1/PS1↑, 1, PSEN2/PS-2↓, 1, PV↓, 4, QPCT/QC↓, 1, RBC↑, 2, RELN↑, 1, rHR↓, 1, RT↓, 2, SCFAs↑, 4, SCFAs∅, 1, SLIT2↑, 1, SNAP25↑, 2, SoreThr?, 1, SpO2↑, 1, Stress↓, 9, Stroke↓, 35, Stroke↑, 1, Stroke↝, 1, SUV39H↓, 1, SYN1↑, 1, SYN3↓, 1, SYP↑, 1, SYT1↑, 1, Tinn↓, 4, TMAO↓, 4, TMAO↑, 7, TMAO⇅, 1, TMAO∅, 2, TPH1↓, 1, TREM2↓, 1, TRPA1↑, 2, UFR↑, 3, UGT1A↓, 1, ULK1/ATG1↑, 1, UPDRS↓, 1, UPDRSIII∅, 1, UR↓, 2, Vomit↓, 1, β-HEX↓, 2,

Redox & Oxidative Stress(tgid=1) ⓘ

4-HNE↓, 6, antiOx?, 3, antiOx↓, 44, antiOx↑, 780, i-antiOx↑, 1, mt-antiOx↑, 1, ARE↑, 12, ARE↝, 1, Bil↓, 5, Bil↑, 2, Catalase↓, 9, Catalase↑, 252, Catalase↝, 2, compI↓, 2, compI↑, 2, Copper↓, 4, CoQ10↑, 1, CYP1A1↓, 3, CYP1A1↑, 1, CYP2E1↓, 8, DPPH↓, 2, Fenton↓, 8, Ferroptosis↓, 27, Ferroptosis↑, 3, GCLC↑, 7, GCLC↝, 1, GCLM↑, 5, GCLM↝, 1, GPx↓, 6, GPx↑, 183, GPx↝, 1, GPx∅, 1, GPx1↑, 11, GPx3↑, 1, GPx4↓, 1, GPx4↑, 21, GPx4∅, 1, GSH↓, 16, GSH↑, 314, GSH⇅, 1, GSH∅, 2, GSH/GSSG↓, 1, GSH/GSSG↑, 3, GSR↓, 3, GSR↑, 38, GSS↑, 2, GSSG↓, 7, GSSG∅, 1, GSTA1↓, 2, GSTA1↑, 13, GSTP1/GSTπ↓, 1, GSTs↓, 5, GSTs↑, 51, H2O2↓, 26, H2O2↑, 2, H2O2∅, 2, HDL↓, 3, HDL↑, 19, HDL∅, 2, HK1↑, 1, HNE↓, 3, HNE↑, 1, HO-1↓, 8, HO-1↑, 227, HO-1⇅, 1, HO-1↝, 1, HO-1∅, 1, HO-2↓, 1, hyperG↓, 2, Iron↓, 13, Iron↑, 2, Iron↝, 1, Iron∅, 1, i-Iron↓, 3, i-Iron↑, 1, Keap1↓, 22, Keap1↑, 2, Keap1↝, 2, ox-Keap1↑, 1, lipid-P?, 3, lipid-P↓, 245, lipid-P↑, 6, mt-lipid-P↓, 1, lipidDe↓, 1, MDA↓, 249, MDA↑, 11, MDA∅, 1, Mets↝, 1, MFN1↓, 1, MFN1↑, 3, MFN1↝, 1, MFN2↓, 2, MFN2↑, 8, MFN2↝, 1, MPO↓, 29, MPO↑, 2, MPOD↑, 3, NADH↓, 1, NADPH/NADP+↑, 1, NFE2L2↓, 1, NOX4↓, 13, NQO1↑, 57, NQO1↝, 2, NQO1∅, 1, Nrf1?, 1, Nrf1↓, 1, Nrf1↑, 9, NRF2↓, 17, NRF2↑, 404, NRF2⇅, 1, NRF2↝, 2, NRF2∅, 2, p‑NRF2↑, 2, OPA1↓, 2, OPA1↑, 4, OXPHOS↓, 3, OXPHOS↑, 8, PARK2↑, 7, Prx↓, 1, Prx↑, 7, Prx4∅, 1, PrxII↑, 1, RNS↓, 11, ROMO1↑, 1, ROS?, 8, ROS↓, 1067, ROS↑, 56, ROS⇅, 13, ROS↝, 3, ROS∅, 27, i-ROS↑, 1, mt-ROS?, 1, mt-ROS↓, 10, mt-ROS↑, 4, RPM↑, 1, RPM↝, 1, SAM-e↓, 3, SAM-e↑, 1, selenoP↑, 20, SIRT3↑, 16, SOD?, 2, SOD↓, 15, SOD↑, 364, SOD↝, 2, mt-SOD↑, 1, SOD1↓, 2, SOD1↑, 18, SOD2↓, 2, SOD2↑, 22, TAC↑, 48, TAC∅, 1, TBARS↓, 11, TBARS↑, 1, Thiols↓, 1, Thiols↑, 5, TOS↓, 3, TOS↑, 2, Trx↓, 2, Trx↑, 10, Trx1↑, 6, TrxR↓, 2, TrxR↑, 4, TrxR1↑, 4, UCPs↑, 2, UCPs↝, 1, uricA↓, 8, VDAC1↓, 1, VitC↑, 16, VitE↓, 1, VitE↑, 8, xCT/SLC7A11↓, 1, xCT/SLC7A11↑, 5,

Metal & Cofactor Biology(tgid=2) ⓘ

Ferritin↓, 1, Ferritin↑, 2, FTH1↑, 2, FTL↓, 1, IronCh↓, 1, IronCh↑, 55, IronCh↝, 1, NCOA4↝, 1, TfR1/CD71↓, 5, TfR1/CD71↑, 1, Zn2+↓, 1,

Mitochondria & Bioenergetics(tgid=3) ⓘ

ADP:ATP↓, 1, AIF↓, 4, AIF↑, 1, ATP↓, 5, ATP↑, 55, ATP↝, 1, ATP∅, 1, mt-ATP↑, 1, compIII↓, 1, compIII↑, 2, DRP1/DNM1L↓, 11, DRP1/DNM1L↑, 3, p‑DRP1/DNM1L↝, 1, EGF↑, 1, ETC↓, 4, ETC↑, 3, ETC↝, 2, FIS1↓, 12, FIS1↑, 3, Insulin↓, 9, Insulin↑, 9, Insulin↝, 1, MEK↓, 1, p‑MEK↓, 1, p‑MEK↑, 1, mitResp↓, 3, mitResp↑, 10, p‑MKK4↑, 1, MMP↓, 15, MMP↑, 77, MMP⇅, 1, MMP↝, 1, MMP∅, 4, MPT↑, 1, mtDam↓, 35, mtDam↑, 1, OCR↓, 4, OCR↑, 7, mt-OCR↑, 1, PGC-1α↓, 3, PGC-1α↑, 32, PGC-1α↝, 2, PINK1↓, 1, PINK1↑, 4, Raf↓, 1, UCP1↓, 1,

Core Metabolism/Glycolysis(tgid=4) ⓘ

12LOX↓, 10, 12LOX↑, 1, Ac-histone H3↑, 1, ACC↓, 3, ACC↑, 3, p‑ACC↑, 1, mt-ACC⇅, 1, Acetyl-CoA↓, 2, Acetyl-CoA↑, 5, ACLY↓, 2, ACLY∅, 1, ACSL4↓, 3, ACSL4∅, 1, adiP↓, 2, adiP↑, 8, AKT1↓, 2, AKT1↑, 1, p‑AKT1↑, 1, ALAT?, 1, ALAT↓, 94, ALAT↑, 2, ALAT∅, 4, ALDOA↑, 1, AMP↓, 1, AMPK↓, 4, AMPK↑, 75, AMPK⇅, 1, AMPK↝, 1, p‑AMPK↑, 8, ATG7↓, 1, BMAL1↑, 1, BUN?, 1, BUN↓, 13, BUN↑, 1, cAMP↑, 9, cMyc↓, 2, cMyc↑, 1, p‑cMyc↑, 1, cPLA2↓, 1, CPT1A↑, 1, CREB↓, 3, CREB↑, 30, CREB∅, 1, p‑CREB↑, 13, CRM↓, 1, CRM↑, 11, CYP2C6↓, 2, CYP2C6↑, 1, CYP3A2↓, 2, CYP3A2↑, 1, CYP3A4↓, 6, CYP3A4↑, 1, cytoP450↓, 2, DGAT1↓, 1, DHA↑, 3, ECAR↓, 5, ECAR↑, 2, ECAR∅, 1, FABP4↓, 2, FAO↓, 2, FAO↑, 7, mt-FAO↑, 1, FASN↓, 9, FGF21↑, 4, G6PD↑, 3, GAPDH↑, 1, GDH↓, 1, glucoNG↓, 3, glucose↓, 31, glucose↑, 2, glucose↝, 6, glucose∅, 1, GlucoseCon↓, 4, GlucoseCon↑, 22, GLUT2↑, 2, GlutMet↑, 1, glyC↓, 1, Glycolysis↓, 8, Glycolysis↑, 10, Glycolysis↝, 4, GPI↑, 1, H2S↑, 4, ac‑Histones↑, 1, HK2↓, 7, HK2↑, 6, HMG-CoA↓, 3, KeyT↑, 5, KeyT↝, 2, lactateProd↓, 6, LAT↑, 1, LDH↓, 42, LDH↑, 3, LDH∅, 1, LDHA↓, 4, LDHA↑, 5, LDHB↑, 1, LDL↓, 67, lipidLev↓, 5, lipoGen↓, 2, MATs↓, 1, MCU↓, 1, NAD↓, 1, NAD↑, 8, NAD↝, 1, NADH:NAD↑, 1, NADPH↓, 20, NADPH↑, 17, NADPH∅, 1, NH3↓, 3, NH3↑, 1, PDH↑, 1, PDK1 / PDPK1↓, 2, p‑PDK1 / PDPK1↓, 1, PDKs↓, 2, PDKs↑, 1, PFK↓, 2, PFK↑, 1, PFK1↓, 1, PFK2↓, 1, PFKFB2↓, 1, PFKL↑, 3, PFKM↑, 2, PFKP↓, 1, PFKP↑, 1, PGC1A↑, 2, PGM1?, 1, PIP3↑, 1, PKM1↑, 2, PKM2↓, 18, PKM2↑, 8, polyA↝, 1, PONs↓, 1, PONs↑, 1, PPARα↑, 14, PPARα↝, 1, PPARγ↓, 8, PPARγ↑, 29, p‑PPARγ↓, 1, PPP↓, 2, SCD1↓, 1, SIRT1↓, 4, SIRT1↑, 79, SIRT1↝, 1, SIRT1∅, 1, SIRT2↑, 3, SREBF2↓, 1, SREBP1/SREBF1↓, 8, SREBP1/SREBF1↑, 1, SREBP2↓, 1, SREBP2↑, 1, STK11/LKB1↑, 1, TCA↑, 1, Warburg↓, 1,

Cell Death(tgid=5) ⓘ

AhR↑, 4, Akt?, 1, Akt↓, 28, Akt↑, 65, Akt↝, 3, p‑Akt↓, 10, p‑Akt↑, 17, e-Akt↑, 1, APAF1↓, 2, Apoptosis↓, 152, Apoptosis↑, 5, Apoptosis∅, 2, mt-Apoptosis↓, 1, ASK1↓, 2, ATF2↑, 1, BAD↓, 3, BAX↓, 59, BAX↑, 8, Bax:Bcl2↓, 13, Bax:Bcl2↑, 3, Bax:Bcl2↝, 1, Bcl-2↓, 10, Bcl-2↑, 50, Bcl-2↝, 1, Bcl-2∅, 1, Bcl-xL↓, 1, Bcl-xL↑, 2, BMP2↑, 3, Casp↓, 4, Casp1?, 1, Casp1↓, 14, cl‑Casp1↓, 2, proCasp1↓, 2, Casp12↓, 6, Casp3?, 1, Casp3↓, 93, Casp3↑, 9, Casp3∅, 2, cl‑Casp3↓, 17, cl‑Casp3↑, 1, proCasp3↓, 2, Casp6↓, 1, Casp7↓, 1, Casp8↓, 3, Casp8↑, 1, cl‑Casp8↑, 3, Casp9↓, 28, Casp9↑, 3, Casp9∅, 1, cl‑Casp9↓, 4, cl‑Casp9↑, 1, cellD↓, 1, CK2↓, 1, CK2↑, 1, Cyt‑c↓, 22, Cyt‑c↑, 5, Cyt‑c∅, 4, DR4↓, 1, Fas↓, 6, Fas↑, 2, FasL↓, 1, Ferroptosis↓, 27, Ferroptosis↑, 3, GADD34↓, 1, GranB/GZMB↓, 1, GRP58↓, 1, GSDMD?, 1, GSDMD↓, 3, HEY1↑, 1, HGF/c-Met↑, 2, Hippo↑, 1, IAP1↓, 1, iNOS↓, 130, iNOS↑, 6, JNK↓, 29, JNK↑, 4, p‑JNK↓, 13, p‑JNK↑, 4, MAPK?, 1, MAPK↓, 66, MAPK↑, 13, MAPK↝, 4, p‑MAPK?, 1, p‑MAPK↓, 3, MCT1↓, 1, MLKL↓, 1, necrosis↓, 4, p38↓, 20, p38↑, 6, p‑p38↓, 12, Pyro?, 1, Pyro↓, 5, RIP1↓, 1, RKIP↑, 1, survivin↓, 1, Telomerase↓, 1, TRPV1↑, 8, TUNEL↓, 1, YAP/TEAD↑, 2,

Kinase & Signal Transduction(tgid=6) ⓘ

AMPKα↑, 2, CaMKII ↓, 2, HCAR2↑, 1, HER2/EBBR2↓, 1, OCN↑, 1, OCN∅, 1, p‑p70S6↓, 1, SOX9↑, 2, Sp1/3/4↓, 6, Sp1/3/4↑, 1, TRPV3↑, 2,

Transcription & Epigenetics(tgid=7) ⓘ

Ach?, 1, Ach↑, 48, AntiThr↑, 22, BowelM↑, 1, cJun↓, 5, p‑cJun↓, 5, H3↑, 1, ac‑H3↑, 1, H4↑, 1, ac‑H4↑, 1, HATs↓, 4, other?, 24, other↓, 69, other↑, 131, other⇅, 2, other↝, 170, other∅, 6, PhotoS↑, 1, TFAM↑, 2, TREM-1↓, 1, tumCV↓, 5, tumCV↑, 1, tumCV∅, 1,

Protein Folding & ER Stress(tgid=8) ⓘ

ATF6↓, 4, ChemChap↓, 1, ChemChap↑, 2, CHOP/DDIT3↓, 20, CHOP/DDIT3↑, 2, eIF2α↓, 3, p‑eIF2α↓, 3, cl‑eIF2α↑, 1, ER Stress↓, 51, ER Stress↑, 2, GRP78/BiP↓, 27, GRP78/BiP↑, 4, GRP94↑, 1, HSF1↑, 2, HSP27↓, 1, HSP27↑, 1, HSP70/HSPA5↓, 1, HSP70/HSPA5↑, 18, HSP70/HSPA5↝, 1, HSP90↓, 2, HSP90↑, 3, HSPs↓, 1, HSPs↑, 6, HSPs↝, 1, IRE1↓, 7, NQO2↑, 1, PERK↓, 8, p‑PERK↓, 2, p‑PERK↑, 1, UPR↓, 5, UPR↑, 3, XBP-1↓, 4,

Autophagy & Lysosomes(tgid=9) ⓘ

ATG3↓, 1, ATG5↓, 1, ATG5↑, 2, Beclin-1/ATG6↓, 5, Beclin-1/ATG6↑, 10, BNIP3↓, 1, DYRK1A↓, 2, LC3‑Ⅱ/LC3‑Ⅰ↓, 1, LC3‑Ⅱ/LC3‑Ⅰ↑, 3, LC3A↑, 1, LC3B↓, 1, LC3B↑, 3, LC3II↓, 2, LC3II↑, 5, LC3s↓, 1, lysosome↑, 1, MitoP↓, 1, MitoP↑, 7, p62↓, 9, p62↑, 7, TFEB↑, 1,

DNA Damage & Repair(tgid=10) ⓘ

ATM↑, 1, ATR↑, 1, CYP1B1↓, 1, DNAdam↓, 61, DNAdam↑, 3, DNAdam∅, 1, DNArepair↑, 6, DNMT1↓, 6, DNMT3A↓, 3, DNMT3A↑, 1, DNMTs↓, 3, GADD45A↑, 1, importin α/β↓, 1, p16↓, 2, P53↓, 12, P53↑, 7, P53↝, 1, PARP↓, 3, PARP↑, 1, PARP∅, 1, p‑PARP↓, 1, cl‑PARP↓, 2, cl‑PARP↑, 2, PARP1↓, 1, cl‑PARP1↓, 1, PCNA↓, 4, PCNA↑, 1, RAD51↓, 1, SIRT6↑, 3, TP53↑, 1, γH2AX↓, 1, p‑γH2AX↓, 1,

Cell Cycle & Senescence(tgid=11) ⓘ

CDK1↓, 1, CDK2↓, 2, CDK4↓, 1, cycA1/CCNA1↓, 1, CycB/CCNB1↓, 1, cycD1/CCND1↓, 4, cycE/CCNE↓, 1, cycE/CCNE↑, 1, E2Fs↑, 2, P21↓, 6, P21↑, 6, RB1↓, 1, TumCCA↑, 8,

Proliferation, Differentiation & Cell State(tgid=12) ⓘ

ALDH↑, 1, CD133↑, 1, CD34↑, 1, CEBPA↓, 2, cFos↓, 1, cFos↑, 1, CHIP↑, 1, Choline↑, 3, CLOCK↝, 2, Diff↓, 2, Diff↑, 14, Diff↝, 2, EMT↓, 7, EMT↑, 2, EP2↓, 1, EP2↑, 1, EP300↓, 2, ERK↓, 25, ERK↑, 30, p‑ERK↓, 11, p‑ERK↑, 11, e-ERK↑, 1, FGF↑, 7, FOXO↑, 3, FOXO1↑, 2, FOXO1↝, 1, FOXO3?, 1, FOXO3↑, 7, GH↑, 3, Gli1↑, 1, GSK‐3β↓, 48, GSK‐3β↑, 8, GSK‐3β↝, 1, p‑GSK‐3β↓, 2, p‑GSK‐3β↑, 8, HDAC↓, 15, HDAC↑, 2, HDAC1↓, 2, HDAC2↓, 5, HDAC3↓, 4, HH↓, 2, HMGCR↓, 2, IGF-1↓, 9, IGF-1↑, 16, IGF-1R↓, 1, IGFBP1↑, 1, IGFBP3↓, 1, IGFBP3↑, 1, IGFR↓, 1, Jun↓, 1, Jun↑, 1, KLF4↑, 1, miR-34a↓, 1, MSCs↑, 1, Mst1↓, 2, mTOR↓, 25, mTOR↑, 14, mTOR↝, 2, p‑mTOR↓, 8, p‑mTOR↑, 3, mTORC1↓, 3, n-MYC↑, 1, Nestin↑, 1, neuroG↑, 17, NOTCH↓, 1, NOTCH↑, 1, NOTCH1↑, 2, OCT4↓, 1, p300↓, 1, P70S6K↓, 3, p‑P70S6K↓, 1, p‑P70S6K↑, 1, PDGFRB↓, 1, PI3K↓, 25, PI3K↑, 50, PI3K↝, 2, p‑PI3K↓, 3, p‑PI3K↑, 1, PR↝, 1, PTEN↓, 8, PTEN↑, 6, p‑PTEN↓, 1, p‑PTEN↑, 1, RAS↓, 2, RUNX2↑, 2, RUNX2∅, 1, Shh↓, 1, Shh↑, 1, SOX2↑, 2, Src↓, 1, STAT↓, 5, STAT1↓, 1, p‑STAT1↓, 1, STAT3?, 1, STAT3↓, 18, STAT3↑, 4, STAT3↝, 1, p‑STAT3↓, 4, STAT4↓, 1, STAT5↓, 1, TCF-4↓, 1, TOP2↑, 1, TRPM7↓, 4, TRPM7⇅, 1, TRPM7↝, 1, TumCG↓, 4, TumCG↑, 1, TumCG∅, 1, tyrosinase↓, 2, VDR↑, 1, VGCC↓, 1, VGCC↑, 2, VGCC⇅, 1, VGCC↝, 1, VGSC↓, 1, VGSC↑, 1, Wnt↓, 3, Wnt↑, 4, Wnt/(β-catenin)↓, 1, Zn2+↓, 1,

Migration(tgid=13) ⓘ

5LO↓, 29, 5LO↝, 1, ACTA2↓, 1, AntiAg↓, 3, AntiAg↑, 97, AntiAg∅, 3, AP-1↓, 18, AP-1↑, 1, APP↓, 27, APP∅, 2, cl‑APP↓, 1, cl‑APP↑, 1, ARG1/2↑, 2, mt-ATPase↑, 1, BACH1↓, 1, Ca+2?, 3, Ca+2↓, 47, Ca+2↑, 20, Ca+2↝, 14, Ca+2∅, 1, p‑Ca+2↓, 1, i-Ca+2↓, 2, mt-Ca+2↓, 1, cal2↓, 5, Cartilage↑, 11, CD31/PECAM-1↓, 1, CD31/PECAM-1↑, 3, CDK5↓, 9, CEA↓, 2, CLDN1↓, 2, CLDN1↑, 2, CLDN1↝, 1, p‑Cofilin↓, 1, p‑Cofilin↑, 1, COL1↓, 6, COL1↑, 2, COL1∅, 1, COL1A1↓, 1, COL2A1↑, 2, COL3A1↓, 3, CXCL12↑, 1, CYP2D1↑, 1, E-cadherin↓, 1, E-cadherin↑, 7, E-sel↓, 5, F-actin↓, 1, F-actin↑, 1, FAK↑, 2, Fibronectin↓, 2, Fibrosis↓, 1, FLRT2↑, 1, GIT1↑, 1, heparanase↑, 1, ITGA5↓, 1, ITGB1↓, 1, ITGB1↑, 1, Ki-67↓, 4, Ki-67↑, 2, LAMs↑, 1, LRP1↑, 3, miR-155↓, 1, miR-22↑, 1, miR-29b↑, 1, MMP-10↓, 1, MMP-10↝, 1, MMP1↓, 5, MMP11↑, 1, MMP13↓, 8, MMP2↓, 14, MMP2↑, 6, MMP3↓, 5, MMP3↑, 2, MMP7↓, 1, MMP9↓, 32, MMP9↑, 6, MMPs↓, 9, MMPs↑, 3, MUC1↑, 3, N-cadherin↓, 1, N-cadherin↑, 2, Na+↑, 2, Na+↝, 1, Netrins↑, 1, NFAM1↑, 1, NFAT↓, 1, NFAT↑, 2, OPN↑, 1, PAI-1/SERPINE1↓, 1, PDGF↓, 1, PDGF↑, 1, PKA↑, 7, PKCδ?, 1, PKCδ↓, 4, PKCδ↑, 8, p‑PKCδ↑, 1, proline↝, 1, PTP1B↓, 2, Rac1↑, 1, p‑Rac1↓, 1, RAGE↓, 6, Rho↓, 7, ROCK1↓, 7, ROCK1↑, 1, Sema3A/PlexinA1↑, 1, serineP↓, 1, Smad1↑, 1, p‑Smad1↑, 1, SMAD2↓, 1, p‑SMAD2↓, 3, SMAD3↓, 3, p‑SMAD3↓, 1, p‑SMAD3↑, 1, SMAD4↑, 1, SMAD5↑, 1, p‑SMAD5↑, 1, Smad7↑, 2, Snail↓, 1, Snail↑, 1, SPARC↓, 1, STAC2↑, 1, p‑T-cadherin↓, 2, TG2/TGase↓, 4, TGF-β↓, 20, TGF-β↑, 12, TGF-β1↓, 6, TGF-β1↑, 4, TIMP1↓, 5, TIMP1↑, 3, TIMP2↑, 3, TJ↓, 1, TJ↑, 4, TJ↝, 1, Treg lymp↓, 1, Treg lymp↑, 1, Treg lymp↝, 1, TRPC1↓, 1, TRPC1↑, 1, TumCI↓, 2, TumCI∅, 1, TumCMig↓, 3, TumCMig↑, 1, TumCMig∅, 1, TumCP↓, 9, TumCP↑, 1, TumMeta↓, 2, Twist↑, 1, TXNIP↓, 8, TXNIP↑, 2, Tyro3↓, 1, uPA↓, 1, VCAM-1↓, 19, Vim↓, 9, Vim↑, 1, Zeb1↓, 1, ZO-1↓, 5, ZO-1↑, 11, ZO-1↝, 1, α-SMA↓, 17, α-SMA↑, 1, α-SMA↝, 1, α-tubulin↓, 2, β-catenin/ZEB1↓, 4, β-catenin/ZEB1↑, 8, β-catenin/ZEB1↝, 1, β-Endo↑, 2,

Angiogenesis & Vasculature(tgid=14) ⓘ

angioG?, 1, angioG↓, 14, angioG↑, 26, angioG↝, 1, ATF4↓, 8, ATF4↑, 1, CLDN5↓, 1, CLDN5↑, 1, ECM/TCF↑, 1, EGFR↓, 3, EGR4↑, 1, Endoglin↑, 1, eNOS↓, 2, eNOS↑, 7, p‑eNOS↑, 2, EPR↑, 3, HIF-1↓, 1, Hif1a↓, 18, Hif1a↑, 14, Hif1a↝, 1, Hif1a∅, 2, HIF2a↑, 1, Hypoxia↓, 1, LOX1↓, 2, miR-34b-5p↓, 1, NO?, 1, NO↓, 110, NO↑, 17, NPY↑, 1, PDGFR-BB↓, 2, PDGFR-BB↑, 1, PDI↓, 1, REL↑, 1, SOX18↑, 1, TXA2↓, 8, VEGF↓, 22, VEGF↑, 31, VEGFR2/KDR/Flk1↓, 1, VEGFR2/KDR/Flk1↑, 1, p‑VEGFR2/KDR/Flk1↓, 1,

Barriers & Transport(tgid=15) ⓘ

AQPs↓, 3, AQPs↑, 3, pol-AQPs↑, 1, BBB?, 3, BBB↓, 9, BBB↑, 160, BBB↝, 13, BBB∅, 4, CellMemb↑, 6, CLDN3↑, 1, GastroP↑, 15, GLUT1↓, 2, GLUT1↑, 5, GLUT3↑, 5, GLUT4↓, 1, GLUT4↑, 10, IBI↑, 11, MRP↓, 1, Na+↑, 2, Na+↝, 1, NHE3↑, 1, OATPs↓, 3, OCLN↓, 3, OCLN↑, 5, P-gp/ABCB1↓, 12, P-gp/ABCB1↑, 2, SVCT-2↑, 1, Vm/CMP↑, 2,

Immune & Inflammatory Signaling(tgid=16) ⓘ

AIM2↓, 2, ASC?, 1, ASC↓, 5, CB2 / CNR2↑, 5, CD14↑, 1, CD25+↓, 1, CD25+↑, 1, CD4+↑, 8, CD69↓, 1, cellSen↓, 1, cellSen↑, 1, COX1↓, 24, COX1↑, 1, COX2/PTGS2?, 1, COX2/PTGS2↓, 206, COX2/PTGS2↑, 2, COX2/PTGS2∅, 1, CRP↓, 29, CTLA-4↓, 1, CTSZ↓, 1, CTSZ↝, 1, CXCc↓, 2, CXCc↑, 1, CXCL1↓, 1, CXCR2↑, 1, CXCR4↓, 2, DCells↑, 1, Dectin1↑, 1, FOXP3↑, 2, GM-CSF↓, 1, GM-CSF↑, 1, HCAR2↑, 1, HMGB1↓, 8, ICAM-1↓, 22, IFN-γ↓, 26, IFN-γ↑, 10, IFN-γ∅, 1, IKKα↓, 4, IKKα↑, 1, p‑IKKα↓, 4, IL1?, 1, IL1↓, 18, IL1↑, 1, IL10?, 1, IL10↓, 21, IL10↑, 44, IL10∅, 1, IL12↓, 10, IL12↑, 1, IL17↓, 18, IL17↑, 2, IL17∅, 1, IL18↓, 11, IL18↑, 1, IL1α↓, 2, IL1α∅, 1, IL1β↓, 230, IL1β↑, 2, IL1β∅, 1, IL2↓, 17, IL2↑, 6, IL22↓, 3, IL23↓, 3, IL33↓, 3, IL4↓, 23, IL4↑, 10, IL4∅, 1, IL5↓, 11, IL5↑, 1, IL6?, 2, IL6↓, 253, IL6↑, 11, IL8↓, 44, IL8↑, 1, IL8∅, 1, Imm↓, 2, Imm↑, 72, Imm⇅, 2, Imm↝, 2, INF-γ↓, 3, Inflam?, 5, Inflam↓, 988, Inflam↑, 15, Inflam∅, 2, IP-10/CXCL-10↓, 1, IP-10/CXCL-10↑, 1, IκB?, 1, IκB↓, 2, IκB↑, 3, p‑IκB↓, 1, JAK↓, 4, p‑JAK1↓, 1, JAK2↓, 4, JAK2↑, 3, p‑JAK2↓, 2, LIF↑, 1, LPS↓, 3, LTA/TNF-β↓, 1, LTA/TNF-β↑, 1, M1↓, 1, M2 MC↑, 2, pol-M2 MC↑, 2, Macrophages↓, 1, MCP1/CCL2↓, 26, MCP1/CCL2↑, 2, MCP1/CCL2↝, 1, MCP1/CCL2∅, 1, MIP‑1α/CCL3↓, 4, MIP2↓, 3, mPGES-1↓, 1, MUC2↓, 1, MyD88↓, 9, Neut↓, 3, Neut↑, 2, NF-kB?, 1, NF-kB↓, 349, NF-kB↑, 9, p‑NF-kB↓, 9, NK cell↑, 10, NTF3/NT-3↑, 1, OSM↑, 1, p‑p50↓, 1, p65↓, 9, p‑p65↓, 3, PAR-2↓, 1, PGD2↓, 1, PGE1↓, 1, PGE2↓, 76, PGE2↑, 3, PSA↓, 2, PSA∅, 1, RANTES↓, 5, T-Cell↑, 1, Th1 response↓, 2, Th1 response↑, 1, Th17↓, 1, Th2↓, 3, Th2↑, 2, TLR1↓, 3, TLR2↓, 10, TLR3↓, 1, TLR4↓, 42, TLR4↑, 1, TLR4∅, 1, TNF-α↓, 364, TNF-α↑, 12, TRAF1↓, 1, TRIF↓, 3, VitD↑, 6,

Cellular Microenvironment(tgid=17) ⓘ

ADAM17↑, 2, cGAS–STING↓, 2, NOX↓, 6, NOX↑, 1, pH↓, 1, pH↑, 1, pH↝, 2, Temp↝, 1,

Synaptic & Neurotransmission(tgid=18) ⓘ

5HT↓, 4, 5HT↑, 34, AChE↓, 198, AChE↑, 3, AChE↝, 2, AChE∅, 5, ADAM10↑, 16, ADAM10↝, 2, BChE?, 1, BChE↓, 34, BChE∅, 1, BDNF↓, 4, BDNF↑, 214, BDNF⇅, 1, BDNF↝, 1, BDNF∅, 8, BrainVol↑, 3, BrainVol↝, 1, BrainVol∅, 3, ChAT↑, 22, ChE↓, 1, EndoR↑, 1, GABA↓, 4, GABA↑, 15, GABA↝, 1, MAOA↓, 17, MAOA↑, 1, MAOA↝, 1, monoA↓, 1, monoA↑, 3, NGF↑, 15, PSD95?, 1, PSD95↑, 16, tau?, 1, tau↓, 62, p‑tau↓, 94, TrkB↓, 2, TrkB↑, 25, TrkB↝, 1,

Protein Aggregation(tgid=19) ⓘ

AEP↓, 1, AGEs↓, 15, Aβ?, 1, Aβ↓, 331, Aβ↑, 3, Aβ∅, 6, BACE/β-secretase↓, 76, BACE/β-secretase↑, 3, BACE/β-secretase↝, 1, IDE↑, 3, MAOB↓, 8, NEP↑, 1, NLRP3↓, 91, NLRP3↑, 3, PP2A↑, 9, XO↓, 6, XO↝, 1, β-Amyloid↓, 5,

Hormonal & Nuclear Receptors(tgid=20) ⓘ

ARNT↑, 1, BNP↓, 1, cortisol↓, 2, cortisol↑, 1, CYP19↓, 2, DHT↓, 1, DHT↑, 1, ER(estro)↓, 1, ER(estro)↑, 2, ERβ/ESR2↑, 1, GR↓, 1, GR↑, 5, GR↝, 1, Leptin↓, 1, RAAS↓, 1, SHBG↓, 1, testos↓, 1, testos↑, 5, testos?, 1, TSHR↓, 1,

Drug Metabolism & Resistance(tgid=21) ⓘ

ABC↓, 1, BioAv?, 4, BioAv↓, 204, BioAv↑, 342, BioAv⇅, 4, BioAv↝, 152, BioAv∅, 2, BioEnh↑, 35, BioEnh↝, 1, ChemoSen↑, 4, CYP1A2↑, 1, CYP2A3/CYP2A6↝, 1, CYP2C9↓, 1, DDS↑, 5, Dose?, 17, Dose↓, 15, Dose↑, 38, Dose⇅, 4, Dose↝, 451, Dose∅, 10, eff?, 2, eff↓, 36, eff↑, 349, eff↝, 35, eff∅, 2, Half-Life?, 2, Half-Life↓, 36, Half-Life↑, 26, Half-Life⇅, 1, Half-Life↝, 81, Half-Life∅, 6, MRP1/ABCC1↓, 1, P450↓, 7, P450↑, 2, P450↝, 1, RadioS↑, 1, selectivity↑, 9, selectivity⇅, 1, TET2↑, 1,

Clinical Biomarkers(tgid=22) ⓘ

ALAT?, 1, ALAT↓, 94, ALAT↑, 2, ALAT∅, 4, Albumin↑, 4, Albumin↝, 1, ALP↓, 22, ALP↑, 2, ALP∅, 1, ascitic↓, 1, AST↓, 93, AST↑, 2, AST∅, 4, BG↓, 9, Bil↓, 5, Bil↑, 2, BloodF↓, 1, BloodF↑, 21, BMD↑, 31, BMPs↓, 1, BMPs↑, 2, BP?, 1, BP↓, 69, BP↝, 1, BP∅, 3, Calcium↑, 2, Calcium↝, 2, CEA↓, 2, creat↓, 27, creat↑, 2, CRP↓, 29, EGFR↓, 3, Ferritin↓, 1, Ferritin↑, 2, GutMicro↓, 1, GutMicro↑, 122, GutMicro↝, 9, GutMicro∅, 2, HbA1c↓, 1, Hcy/homoC↓, 24, Hcy/homoC↝, 2, HemoG↑, 2, HER2/EBBR2↓, 1, hs-CRP↓, 3, IL6?, 2, IL6↓, 253, IL6↑, 11, Ki-67↓, 4, Ki-67↑, 2, LDH↓, 42, LDH↑, 3, LDH∅, 1, Mag↑, 2, MUC19↓, 1, NOS2↓, 8, NSE↑, 1, PSA↓, 2, PSA∅, 1, RAGE↓, 6, TG/TAG↓, 6, TP53↑, 1, Urea↓, 5, VitD↑, 6,

Functional Outcomes(tgid=23) ⓘ

Anger↓, 1, AntiAge↑, 50, AntiAge⇅, 1, antiAll↑, 9, AntiArt↑, 20, AntiCan↓, 4, AntiCan↑, 86, antiCG↑, 1, antiCG↝, 1, antiD↓, 1, AntiDiabetic↓, 4, AntiDiabetic↑, 108, AntiMyl↑, 1, antiNeop↑, 1, AntiP↓, 1, AntiP↑, 15, antiPs↑, 5, AntiTum↓, 2, AntiTum↑, 27, ANXi↓, 4, Appetite↓, 1, BOLD↑, 2, Bone Healing↑, 1, cachexia↓, 1, cachexia↑, 1, cardioP?, 2, cardioP↓, 4, cardioP↑, 257, cardioP⇅, 1, cardioP∅, 1, CardioT↓, 4, chemoP↑, 40, chemoPv↑, 32, ChemoSideEff↓, 1, cognitive?, 3, cognitive↓, 16, cognitive↑, 589, cognitive↝, 9, cognitive?, 1, cognitive∅, 27, cytoP↑, 2, fatigue↓, 6, GFR↓, 1, GFR↑, 1, GFR∅, 1, Hear↑, 1, hepatoP↓, 8, hepatoP↑, 242, memory?, 3, memory↓, 4, memory↑, 406, memory∅, 6, Mood↑, 49, Mood⇅, 1, Mood↝, 1, motorD↓, 3, motorD↑, 67, MusCon↓, 2, neuroP?, 4, neuroP↓, 5, neuroP↑, 701, neuroP↝, 1, NP/CIPN↓, 3, Obesity↓, 51, OS↓, 1, OS↑, 44, Pain↓, 42, PDE4↓, 2, QoL?, 1, QoL↑, 24, QoL∅, 1, radioP↑, 48, RenoP↓, 2, RenoP↑, 92, RenoP↝, 1, Risk↓, 75, Risk↑, 14, Risk↝, 2, Risk∅, 3, Sleep↑, 24, Sleep∅, 1, STEP↓, 1, Strength↑, 15, toxicity?, 6, toxicity↓, 315, toxicity↑, 34, toxicity⇅, 2, toxicity↝, 72, toxicity∅, 70, Weight↓, 17, Weight↑, 4, Weight↝, 3, Weight∅, 4, Wound Healing↓, 2, Wound Healing↑, 40,

Infection & Microbiome(tgid=24) ⓘ

AntiFungal↓, 2, AntiFungal↑, 32, AntiViral↑, 41, Bacteria?, 1, Bacteria↓, 134, Bacteria↑, 1, CD8+↑, 4, Dectin1↑, 1, Diar↓, 9, Inf↓, 3, IRF3↓, 4, Sepsis↓, 28,

Ingredients & Constituents(tgid=25) ⓘ

Api↑, 1, CA↑, 1, Catechins↑, 1, FA↑, 1, Fibre↑, 1, Flav↑, 1, GA↑, 1, LT↑, 1, Myr↑, 1, Phen↑, 2, Poly↑, 1, QC↑, 2,
Total Targets: 1590

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#:%  Target#:%  State#:%  Dir#:%
  wNotes=0  sortOrder:rid,rpid

Cancer Database Query Results

Pathway results for Effect on Cancer / Diseased Cells:

NA, unassigned(tgid=0) ⓘ

Redox & Oxidative Stress(tgid=1) ⓘ

Metal & Cofactor Biology(tgid=2) ⓘ

Mitochondria & Bioenergetics(tgid=3) ⓘ

Core Metabolism/Glycolysis(tgid=4) ⓘ

Cell Death(tgid=5) ⓘ

Kinase & Signal Transduction(tgid=6) ⓘ

Transcription & Epigenetics(tgid=7) ⓘ

Protein Folding & ER Stress(tgid=8) ⓘ

Autophagy & Lysosomes(tgid=9) ⓘ

DNA Damage & Repair(tgid=10) ⓘ

Cell Cycle & Senescence(tgid=11) ⓘ

Proliferation, Differentiation & Cell State(tgid=12) ⓘ

Migration(tgid=13) ⓘ

Angiogenesis & Vasculature(tgid=14) ⓘ

Barriers & Transport(tgid=15) ⓘ

Immune & Inflammatory Signaling(tgid=16) ⓘ

Cellular Microenvironment(tgid=17) ⓘ

Synaptic & Neurotransmission(tgid=18) ⓘ

Protein Aggregation(tgid=19) ⓘ

Hormonal & Nuclear Receptors(tgid=20) ⓘ

Drug Metabolism & Resistance(tgid=21) ⓘ

Clinical Biomarkers(tgid=22) ⓘ

Functional Outcomes(tgid=23) ⓘ

Infection & Microbiome(tgid=24) ⓘ

Ingredients & Constituents(tgid=25) ⓘ

Pathway results for Effect on Normal Cells:

NA, unassigned(tgid=0) ⓘ

Redox & Oxidative Stress(tgid=1) ⓘ

Metal & Cofactor Biology(tgid=2) ⓘ

Mitochondria & Bioenergetics(tgid=3) ⓘ

Core Metabolism/Glycolysis(tgid=4) ⓘ

Cell Death(tgid=5) ⓘ

Kinase & Signal Transduction(tgid=6) ⓘ

Transcription & Epigenetics(tgid=7) ⓘ

Protein Folding & ER Stress(tgid=8) ⓘ

Autophagy & Lysosomes(tgid=9) ⓘ

DNA Damage & Repair(tgid=10) ⓘ

Cell Cycle & Senescence(tgid=11) ⓘ

Proliferation, Differentiation & Cell State(tgid=12) ⓘ

Migration(tgid=13) ⓘ

Angiogenesis & Vasculature(tgid=14) ⓘ

Barriers & Transport(tgid=15) ⓘ

Immune & Inflammatory Signaling(tgid=16) ⓘ

Cellular Microenvironment(tgid=17) ⓘ

Synaptic & Neurotransmission(tgid=18) ⓘ

Protein Aggregation(tgid=19) ⓘ

Hormonal & Nuclear Receptors(tgid=20) ⓘ

Drug Metabolism & Resistance(tgid=21) ⓘ

Clinical Biomarkers(tgid=22) ⓘ

Functional Outcomes(tgid=23) ⓘ

Infection & Microbiome(tgid=24) ⓘ

Ingredients & Constituents(tgid=25) ⓘ

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