| Features: | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Flavonoids — a large class of plant polyphenols (natural products) including flavonols (quercetin, kaempferol), flavones (apigenin, luteolin), flavanones (naringenin), isoflavones (genistein), flavan-3-ols (EGCG/catechins), and anthocyanins. Sources: fruits/berries, tea/cocoa, legumes, herbs, and standardized extracts. Primary mechanisms (conceptual rank): Bioavailability / PK relevance: Many flavonoids have low oral bioavailability (rapid phase II conjugation: glucuronidation/sulfation; microbiome-derived metabolites). Plasma free aglycone levels are typically low; tissue effects often reflect metabolites and chronic exposure. In-vitro vs oral exposure: Many “anti-cancer” cytotoxic effects occur at micromolar aglycone concentrations exceeding typical systemic exposure from diet/supplements (high concentration only), unless specialized formulations or local GI exposure is the intent. Clinical evidence status: Broad epidemiology + small human trials for cardiometabolic/inflammatory endpoints; oncology evidence mostly preclinical/adjunct-hypothesis; no class-wide RCT oncology approval. Flavonoids are classified into seven structural classes: 1.flavanones -Nargenin, Naringin, Hesperetin, Isosakuranetin, Eriodictyol, Taxifolin 2.flavonols -Quercetin, Myrcetin, Fisetin, Rutin Morin, Kaempferol 3.chalcones -Butein, Xanthohumol, Isoliquintigenin, Cardamonin, Bavachalone, Xanthohumol, Phloretin 4.flavanols -Catechin, Gallocatechin, Epicatechin, Epigallocatechin-3-galate 5.anthocyanidins -Cyanidin 6.flavones -Chrysin, Apigenin, Luteolin, Vitexin, Orientin, Bacalein, Wogonin, Oroxylin A, Saponarin 7.isoflavonoids -Daidzein, Genistein, Glycitein Flavonoids — a structurally diverse superfamily of plant-derived polyphenolic secondary metabolites characterized broadly by a C6–C3–C6 carbon framework. They are a phytochemical class rather than a single drug or uniform therapeutic modality. Standard abbreviations include flavonoids and Flav; individual subclasses require separate names. Major dietary subclasses are flavonols, flavones, flavanones, flavan-3-ols, anthocyanins and isoflavones; chalcones are also commonly included in the broader flavonoid family. Representative compounds include quercetin, kaempferol, fisetin, apigenin, luteolin, naringenin, hesperetin, catechin, epicatechin, EGCG, cyanidin, genistein and daidzein. Principal sources include fruits, berries, tea, cocoa, citrus, legumes, herbs and vegetables. Because flavonoids differ markedly in structure, metabolism and target selectivity, class-level statements describe recurring patterns rather than effects shared uniformly by every compound. Primary mechanisms (ranked):
Bioavailability / PK relevance: Oral pharmacokinetics vary substantially by subclass, glycosylation pattern, food matrix and intestinal microbiota. Most absorbed flavonoids undergo extensive intestinal and hepatic glucuronidation, sulfation and methylation, while unabsorbed material is converted by the microbiome into smaller phenolic metabolites. Circulating exposure therefore consists predominantly of conjugated and microbial metabolites rather than the free aglycones commonly used in laboratory experiments. Certain flavonoids can also affect drug transporters or CYP-mediated metabolism, but the clinical significance is compound-, dose- and medication-dependent. In-vitro vs systemic exposure relevance: Many anticancer experiments use approximately 10–100 µM free aglycone, whereas normal dietary intake commonly produces much lower concentrations of unconjugated parent compound in plasma. Consequently, direct kinase inhibition, mitochondrial toxicity, apoptosis and ferroptosis observed at high micromolar concentrations may not be systemically achievable through ordinary foods or conventional supplements. Gastrointestinal tissues, concentrated formulations and pharmacologically developed derivatives may experience different exposure conditions. Clinical evidence status: Human evidence is strongest for dietary patterns or standardized flavonoid-rich foods affecting vascular, cardiometabolic and selected cognitive endpoints. Cancer-prevention evidence is primarily observational and subclass-specific, while cancer-treatment evidence remains predominantly preclinical with limited early-phase or adjunct studies involving individual flavonoids. Flavonoids are not approved as a class for treating cancer or Alzheimer’s disease, and class-wide efficacy cannot be inferred from results obtained with one constituent. Flavonoid Mechanistic Profile
TSF: P: 0–30 min R: 30 min–3 hr G: >3 hr Flavonoids and Alzheimer’s disease — dietary flavonoids and flavonoid-rich foods are investigated as supportive neurovascular and neuroprotective exposures rather than established Alzheimer’s disease therapies. The most defensible class-level mechanisms are attenuation of oxidative and inflammatory stress, enhancement of endothelial function and cerebral perfusion, and chronic modulation of synaptic-plasticity signaling. Effects on amyloid-β aggregation, amyloid processing, tau phosphorylation and clearance are primarily preclinical and vary markedly among compounds. Primary mechanisms (ranked):
Bioavailability / PK relevance: Brain exposure is likely mediated largely by circulating conjugates, microbiome-derived phenolic metabolites and indirect vascular or peripheral signaling rather than sustained high concentrations of free parent flavonoids. Blood–brain barrier penetration differs considerably among compounds and metabolites. Clinical evidence status: Observational cohorts associate higher flavonoid intake with slower cognitive decline or reduced dementia risk, and some randomized trials of cocoa flavanols, berries or anthocyanin-rich interventions report modest cognitive or vascular benefits. Results are heterogeneous, and biomarker-confirmed Alzheimer’s disease modification has not been established. Alzheimer’s Disease Mechanistic Profile
TSF: P: 0–30 min R: 30 min–3 hr G: >3 hr |
| 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)
Time-Scale Flag (TSF): P / R / G
|
| 2313- | Flav, | Flavonoids against the Warburg phenotype—concepts of predictive, preventive and personalised medicine to cut the Gordian knot of cancer cell metabolism |
| - | Review, | Var, | NA |
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#:227 Target#:947 State#:% Dir#:1
wNotes=0 sortOrder:rid,rpid