Database Query Results : Silymarin (Milk Thistle) silibinin, , TIMP2

SIL, Silymarin (Milk Thistle) silibinin: Click to Expand ⟱

Features:

Silymarin (Milk Thistle) Flowering herb related to daisy and ragweed family.
Silibinin (INN), also known as silybin is the major active constituent of silymarin, a standardized extract of the milk thistle seeds.
-a flavonoid combination of 65–80% of seven flavolignans; the most important of these include silybin, isosilybin, silychristin, isosilychristin, and silydianin. Silybin is the most abundant compound in around 50–70% in isoforms silybin A and silybin B

-Note half-life 6hrs?.
BioAv not soluble in water, low bioAv (1%). 240mg yielded only 0.34ug/ml plasma level. oral administration of SM (equivalent to 120 mg silibinin), total (unconjugated + conjugated) silibinin concentration in plasma was 1.1–1.3 μg/mL, so can not achieve levels used in most in-vitro studies.
Pathways:
- results for both inducing and reducing ROS in cancer cells. In normal cell seems to consistently lower ROS. Reports show both ROS↑ and ROS↓ in cancer models; systemic pro-oxidant effects may require higher exposures than typical oral dosing, but local or combination contexts may differ. (level in GUT could be much higher (800uM).
- ROS↑ related: MMP↓(ΔΨm), Ca+2↑, Cyt‑c↑, Caspases↑, DNA damage↑, cl-PARP↑,
- Raises AntiOxidant defense in Normal Cells: ROS↓, NRF2↑, SOD↑, GSH↑, Catalase↑,
- lowers Inflammation : NF-kB↓, COX2↓, p38↓(context-dependent; often stress-activated), Pro-Inflammatory Cytokines : NLRP3↓, IL-1β↓, TNF-α↓, IL-6↓, IL-8↓
- inhibit Growth/Metastases : TumMeta↓, TumCG↓, EMT↓, MMPs↓, MMP2↓, MMP9↓, TIMP2, uPA↓, VEGF↓, FAK↓, NF-κB↓, CXCR4↓, TGF-β↓, α-SMA↓, ERK↓
- reactivate genes thereby inhibiting cancer cell growth : HDAC↓, DNMTs↓, P53↑, HSP↓,
- cause Cell cycle arrest : TumCCA↑, cyclin D1↓, cyclin E↓, CDK2↓, CDK4↓,
- inhibits Migration/Invasion : TumCMig↓, TumCI↓, TNF-α↓, FAK↓, ERK↓, EMT↓,
- inhibits glycolysis and ATP depletion : HIF-1α↓, PKM2↓, cMyc↓, GLUT1↓, LDH↓, LDHA↓, HK2↓, PFKs↓, GRP78↑(ER stress), Glucose↓, GlucoseCon↓
- inhibits angiogenesis↓ : VEGF↓, HIF-1α↓, Notch↓, PDGF↓, EGFR↓,
- inhibits Cancer Stem Cells : CSC↓, Hh↓, GLi1↓, β-catenin↓, Notch2↓, 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, CardioProtective,

- Selectivity: Cancer Cells vs Normal Cells

Rank	Pathway / Axis	Cancer Cells	Normal Cells	TSF	Primary Effect	Notes / Interpretation
1	ROS / redox buffering + mitochondrial protection	Often ↑ stress susceptibility; can support apoptosis when survival signaling is blocked	↓ oxidative stress; mitochondrial protection	P, R, G	Context-selective redox modulation	Silymarin is classically cytoprotective/antioxidant in normal tissues (notably liver), while in tumors it can weaken pro-survival adaptation and increase vulnerability to stressors and therapy.
2	Intrinsic apoptosis (mitochondria → caspases)	↑ apoptosis signaling; ↑ caspase activation	↔ minimal activation	G	Cell death execution	Common downstream outcome in cancer models: apoptosis increases after earlier signaling/redox shifts and/or checkpoint disruption.
3	Cell-cycle control (cyclins/CDKs; checkpoints)	↑ arrest (G1/S or G2/M depending on model)	↔	G	Cytostasis	Typically observed as reduced proliferation with checkpoint engagement; timing usually later than kinase phosphorylation changes.
4	NF-κB inflammatory transcription	↓ NF-κB activity; ↓ inflammatory/pro-survival tone	↔ or protective anti-inflammatory effect	R, G	Anti-inflammatory / anti-survival transcription	NF-κB suppression can reduce tumor-promoting inflammation and blunt stress-adaptive survival programs.
5	JAK/STAT3 axis (incl. PD-L1 / immune escape programs in some models)	↓ STAT3 signaling (context); may ↓ PD-L1 in certain tumor contexts	↔	R, G	Reduced survival + immune-evasion signaling	Reported to attenuate STAT3-driven tumor programs and, in some contexts, reduce immune-suppressive signaling (model dependent).
6	PI3K → AKT → mTOR survival / growth signaling	↓ PI3K/AKT/mTOR signaling (context)	↔	R, G	Growth/survival suppression	Reduced PI3K/AKT/mTOR tone increases sensitivity to apoptosis and can reinforce cell-cycle arrest.
7	MAPK re-wiring (ERK/p38/JNK balance)	Stress-MAPK shifts; ERK tone often reduced or re-patterned	↔	P, R, G	Signal reprogramming	Early phosphorylation shifts can precede later gene-expression changes; exact ERK direction is model and dose dependent.
8	Angiogenesis (VEGF and angiogenic factors)	↓ VEGF / angiogenesis outputs	↔	G	Anti-angiogenic support	Typically reflected in reduced pro-angiogenic expression/secretion and angiogenesis-related phenotypes over longer windows.
9	EMT / invasion / migration programs (incl. TGF-β/Smad-associated EMT in some systems)	↓ EMT markers; ↓ migration/invasion	↔	G	Anti-invasive phenotype	Often presents as restoration of epithelial markers and suppression of migration/invasion assays; commonly a later phenotype-level outcome.
10	Xenobiotic handling (Phase I/II enzymes; cytoprotection / chemoprevention framing)	May alter carcinogen activation/detox balance	↑ detox / cytoprotection against xenobiotics	G	Chemopreventive protection	A key “dual strategy” theme: protection of normal tissue from toxins/therapy while modulating tumor response pathways.
11	Drug resistance / efflux (MDR phenotype; P-gp-related resistance in some models)	May ↓ functional MDR and ↑ chemo sensitivity (context)	↔	R, G	Chemo-sensitization support	Reported synergy with chemotherapy in resistant tumor settings; transporter direction can be context-specific, so present as “reported to reduce functional resistance” rather than a universal single-transporter claim.
12	Immune microenvironment signaling (cytokines / macrophage recruitment in some models)	May ↓ pro-tumor cytokine programs and recruitment signals (context)	↔	G	Anti-inflammatory tumor microenvironment shift	Immune-modulatory effects are increasingly discussed, but they are more model-dependent and typically show on longer time scales.

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

P: 0–30 min (primary/physical–chemical effects; rapid signaling / phosphorylation shifts)
R: 30 min–3 hr (redox signaling + acute stress-response signaling)
G: >3 hr (gene-regulatory adaptation and phenotype-level outcomes)

TIMP2, Tissue Inhibitor of Metalloproteinases-2: Click to Expand ⟱

Source:

Type:

TIMP-2 has been shown to have distinct effects on cancer progression compared to TIMP-1. Research has suggested that TIMP-2 may have anti-tumor effects in certain types of cancer, including:
• Inhibiting tumor growth: TIMP-2 has been shown to inhibit the growth of tumor cells in vitro and in vivo.
High levels of TIMP-2 have been associated with better prognosis and improved survival in some cancers.
High levels of TIMP-2 have been associated with better prognosis and improved survival in some cancers.
High TIMP-2 expression: Breast, Lung, colorectal, Prostrate.
Low TIMP-2 expression: Ovarian, Pancreatic, Gastric.

Scientific Papers found: Click to Expand⟱

3332-

SIL,

Silibinin inhibits the invasion of human lung cancer cells via decreased productions of urokinase-plasminogen activator and matrix metalloproteinase-2

in-vitro,

Lung,

A549

*antiOx↑, Silibinin is a flavonoid antioxidant and wildly used for its antihepatotoxic properties
*hepatoP↑,
MMP2↓, silibinin treatment may decrease the expressions of MMP-2 and u-PA in a concentration- and time-dependent manner and enhance the expression of TIMP-2.
uPA↓,
TIMP2↑,

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

Pathway results for Effect on Cancer / Diseased Cells:

Migration ⓘ

MMP2↓, 1, TIMP2↑, 1, uPA↓, 1,
Total Targets: 3

Pathway results for Effect on Normal Cells:

Redox & Oxidative Stress ⓘ

antiOx↑, 1,

Functional Outcomes ⓘ

hepatoP↑, 1,
Total Targets: 2

Scientific Paper Hit Count for: TIMP2, Tissue Inhibitor of Metalloproteinases-2

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