IronCh Cancer Research Results

IronCh, Iron Chelator: Click to Expand ⟱
Source:
Type:
Iron Chelator
NA, Not Available: Click to Expand ⟱
none (reserved)
Scientific Papers found: Click to Expand⟱
3456- ALA,    Renal-Protective Roles of Lipoic Acid in Kidney Disease
- Review, NA, NA
*RenoP↑, *ROS↓, *antiOx↑, *Inflam↓, *Sepsis↓, *IronCh↑, *BUN↓, *creat↓, *TNF-α↓, *IL6↓, *IL1β↓, *MDA↓, *NRF2↑, *HO-1↑, *NQO1↑, *chemoP↑, *eff↑, *NF-kB↓,
3438- ALA,    The Potent Antioxidant Alpha Lipoic Acid
- Review, NA, NA - Review, AD, NA
*antiOx↑, *cardioP↑, *cognitive↑, *AntiAge↑, *Inflam↓, *AntiCan↑, *neuroP↑, *IronCh↑, *ROS↑, *Weight↓, *Ach↑, *ROS↓, *GSH↑, *lipid-P↓, *memory↑, *NRF2↑, *ChAT↑, *GlucoseCon↑, *Acetyl-CoA↑,
3540- ALA,    Thioctic (lipoic) acid: a therapeutic metal-chelating antioxidant?
- in-vitro, NA, NA
*lipid-P↓, *H2O2↓, *IronCh↑,
3579- CUR,  AgNPs,    Metal–Curcumin Complexes in Therapeutics: An Approach to Enhance Pharmacological Effects of Curcumin
- Review, NA, NA
*IronCh↑, *BioAv↑, *antiOx↑, *Inflam↓, *BioAv↑, ROS↑, *neuroP↑, *eff↑,
695- EGCG,  TFdiG,    The antioxidant and pro-oxidant activities of green tea polyphenols: a role in cancer prevention
- in-vitro, NA, HL-60
ROS↑, IronCh↑, Apoptosis↑,
3348- QC,    Quercetin and iron metabolism: What we know and what we need to know
- Review, NA, NA
*IronCh↑, *ROS↓, *AntiAg↑, *Fenton↓, *lipid-P↓, *hepatoP↑, *RenoP↑, HIF-1↑, ROS↑,
3309- SIL,    Silymarin as a Natural Antioxidant: An Overview of the Current Evidence and Perspectives
- Review, NA, NA
*ROS↓, *IronCh↑, *MMP↑, *NRF2↑, *Inflam↓, *hepatoP↑, *HSPs↑, *Trx↑, *SIRT2↑, *GSH↑, *ROS↑, *NADPH↓, *iNOS↓, *NF-kB↓, *BioAv↓, *Dose↝, *BioAv↑,
3295- SIL,    Hepatoprotective effect of silymarin
- Review, NA, NA
*hepatoP↑, *ROS↓, *GSH↑, *BioAv↝, ERK↓, NF-kB↓, STAT3↓, COX2↓, Inflam↓, IronCh↑, lipid-P↓, ALAT↓, AST↓, TNF-α↓, *α-SMA↓, *SOD↑,

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) ⓘ

lipid-P↓, 1,   ROS↑, 3,  

Metal & Cofactor Biology(tgid=2) ⓘ

IronCh↑, 2,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

ALAT↓, 1,  

Cell Death(tgid=5) ⓘ

Apoptosis↑, 1,  

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

ERK↓, 1,   STAT3↓, 1,  

Angiogenesis & Vasculature(tgid=14) ⓘ

HIF-1↑, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

COX2↓, 1,   Inflam↓, 1,   NF-kB↓, 1,   TNF-α↓, 1,  

Clinical Biomarkers(tgid=22) ⓘ

ALAT↓, 1,   AST↓, 1,  
Total Targets: 14

Pathway results for Effect on Normal Cells:


Redox & Oxidative Stress(tgid=1) ⓘ

antiOx↑, 3,   Fenton↓, 1,   GSH↑, 3,   H2O2↓, 1,   HO-1↑, 1,   lipid-P↓, 3,   MDA↓, 1,   NQO1↑, 1,   NRF2↑, 3,   ROS↓, 5,   ROS↑, 2,   SOD↑, 1,   Trx↑, 1,  

Metal & Cofactor Biology(tgid=2) ⓘ

IronCh↑, 6,  

Mitochondria & Bioenergetics(tgid=3) ⓘ

MMP↑, 1,  

Core Metabolism/Glycolysis(tgid=4) ⓘ

Acetyl-CoA↑, 1,   BUN↓, 1,   GlucoseCon↑, 1,   NADPH↓, 1,   SIRT2↑, 1,  

Cell Death(tgid=5) ⓘ

iNOS↓, 1,  

Transcription & Epigenetics(tgid=7) ⓘ

Ach↑, 1,  

Protein Folding & ER Stress(tgid=8) ⓘ

HSPs↑, 1,  

Migration(tgid=13) ⓘ

AntiAg↑, 1,   α-SMA↓, 1,  

Immune & Inflammatory Signaling(tgid=16) ⓘ

IL1β↓, 1,   IL6↓, 1,   Inflam↓, 4,   NF-kB↓, 2,   TNF-α↓, 1,  

Synaptic & Neurotransmission(tgid=18) ⓘ

ChAT↑, 1,  

Drug Metabolism & Resistance(tgid=21) ⓘ

BioAv↓, 1,   BioAv↑, 3,   BioAv↝, 1,   Dose↝, 1,   eff↑, 2,  

Clinical Biomarkers(tgid=22) ⓘ

creat↓, 1,   IL6↓, 1,  

Functional Outcomes(tgid=23) ⓘ

AntiAge↑, 1,   AntiCan↑, 1,   cardioP↑, 1,   chemoP↑, 1,   cognitive↑, 1,   hepatoP↑, 3,   memory↑, 1,   neuroP↑, 2,   RenoP↑, 2,   Weight↓, 1,  

Infection & Microbiome(tgid=24) ⓘ

Sepsis↓, 1,  
Total Targets: 49

Scientific Paper Hit Count for: IronCh, Iron Chelator
3 Alpha-Lipoic-Acid
2 Silymarin (Milk Thistle) silibinin
1 Curcumin
1 Silver-NanoParticles
1 EGCG (Epigallocatechin Gallate)
1 Aflavin-3,3′-digallate
1 Quercetin
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:0  Cells:%  prod#:%  Target#:835  State#:%  Dir#:2
  wNotes=0  sortOrder:rid,rpid

 

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