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| Proanthocyanidins (PACs; condensed tannins) = oligomeric/polymeric flavan-3-ols (e.g., catechin/epicatechin units); abundant in grape seed, cocoa, cranberry, apple skin, pine bark. Degree of polymerization (DP) influences bioactivity and absorption. Proanthocyanidin B2 (PB2) is a type of dimer flavonoid that is found in grape seed, pine bark, wine, and tea leaves [17]. PB2 has been shown to possess various bioactivities, including anti-oxidant, anti-inflammation, and anti-obesity activities, and it has also shown efficacy in the treatment of cancer, cardiovascular disease, type 2 diabetes, ulcerative colitis, as well as acute liver injury. PKM2 is the target of proanthocyanidin B2 PB2 also suppressed glucose uptake and lactate levels via the direct inhibition of the key glycolytic enzyme, PKM2. Proanthocyanidins (PACs) — Cancer-Relevant Pathways
TSF Legend: P: 0–30 min | R: 30 min–3 hr | G: >3 hr Proanthocyanidins (PACs) — Alzheimer’s Disease–Relevant Axes
TSF Legend: P: 0–30 min | R: 30 min–3 hr | G: >3 hr |
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| Oxidative phosphorylation (or phosphorylation) is the fourth and final step in cellular respiration. Alterations in phosphorylation pathways result in serious outcomes in cancer. Many signalling pathways including Tyrosine kinase, MAP kinase, Cadherin-catenin complex, Cyclin-dependent kinase etc. are major players of the cell cycle and deregulation in their phosphorylation-dephosphorylation cascade has been shown to be manifested in the form of various types of cancers. Many tumors exhibit a well-known metabolic shift known as the Warburg effect, where glycolysis is favored over OxPhos even in the presence of oxygen. However, this is not universal. Many cancers, including certain subpopulations like cancer stem cells, still rely on OXPHOS for energy production, biosynthesis, and survival. – In several cancers, especially during metastasis or in tumors with high metabolic plasticity, OxPhos can remain active or even be upregulated to meet energy demands. In some cancers, high OxPhos activity correlates with aggressive features, resistance to standard therapies, and poor outcomes, particularly when tumor cells exploit mitochondrial metabolism for survival and metastasis. – Conversely, low OxPhos activity can be associated with a reliance on glycolysis, which is also linked with rapid tumor growth and certain adverse prognostic features. Inhibiting oxidative phosphorylation is not a universal strategy against all cancers. Targeting OXPHOS can potentially disrupt the metabolic flexibility of cancer cells, leading to their death or making them more susceptible to other treatments. Since normal cells also rely on OXPHOS, inhibitors must be carefully targeted to avoid significant toxicity to healthy tissues. Not all tumors are the same. Some may be more glycolytic, while others depend more on mitochondrial metabolism. Therefore, metabolic profiling of tumors is crucial before adopting this strategy. Inhibiting OXPHOS is being explored in combination with other treatments (such as chemo- or immunotherapies) to improve efficacy and overcome resistance. In cancer cells, metabolic reprogramming is a hallmark where cells often rely on glycolysis (known as the Warburg effect); however, many cancer types also depend on OXPHOS for energy production and survival. Targeting OXPHOS(using inhibitor) to increase the production of reactive oxygen species (ROS) can selectively induce oxidative stress and cell death in cancer cells. -One side effect of increased OXPHOS is the production of reactive oxygen species (ROS). -Many cancer cells therefore simultaneously upregulate antioxidant systems to mitigate the damaging effects of elevated ROS. -Increase in oxidative phosphorylation can inhibit cancer growth. |
| 2396- | PACs, | PKM2 is the target of proanthocyanidin B2 during the inhibition of hepatocellular carcinoma |
| - | in-vitro, | HCC, | HCCLM3 | - | in-vitro, | HCC, | SMMC-7721 cell | - | in-vitro, | HCC, | Bel-7402 | - | in-vitro, | HCC, | HUH7 | - | in-vitro, | HCC, | HepG2 | - | in-vitro, | Nor, | L02 |
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#:136 Target#:230 State#:% Dir#:%
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