PKM2 Blocking Peptide
- Known as:
- PKM2 Blocking Peptide
- Catalog number:
- 33r-6450
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Fitzgerald industries international
- Gene target:
- PKM2 Blocking Peptide
Related genes to: PKM2 Blocking Peptide
- Gene:
- PKM NIH gene
- Name:
- pyruvate kinase M1/2
- Previous symbol:
- PKM2
- Synonyms:
- THBP1, OIP3, PK3
- Chromosome:
- 15q23
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2017-09-15
Related products to: PKM2 Blocking Peptide
Related articles to: PKM2 Blocking Peptide
- Using molecular dynamics simulations, we show that the dynamical properties of a polymerized ionic liquid (PIL), which features backbone-embedded imidazolium rings, can be tuned by plasticization with a simple ionic liquid (SIL). Our structural analysis reveals a basically linear dependence of the local ionic environments on the PIL : SIL ratio. Moreover, we observe that the self diffusion coefficients and structural relaxation times vary continuously between the limiting cases of the pure PIL and pure SIL when changing the mixing ratio. Thereat, the concentration dependence is well described by the Gordon-Taylor equation. Upon cooling, and exhibit non-Arrhenius temperature dependence, while the Stokes-Einstein prediction ∝ is fulfilled to a high degree for all compositions. PIL-SIL mixing does not result in enhanced dynamical heterogeneity and leads to similar changes in the motions of the non-polymerized cations and anions, suggesting strong dynamical couplings between these constituents. Finally, Nernst-Einstein estimates of the room-temperature dc conductivity are reasonably high and amount to ∼10-10 S cm even at ∼25-50% PIL fractions. We conclude that electrolytes with favorable and tunable transport properties can be obtained from SIL plasticization of PILs, in particular, when the polymeric component has backbone-embedded charges. - Source: PubMed
Publication date: 2026/05/19
Ahmad ArshidVogel Michael - Hyperuricemia is a common metabolic disorder and has become a global health concern. This study investigated the association between DNA methylation (DNAm) and serum uric acid (SUA) by conducting an epigenomewide association study (EWAS) in Chinese monozygotic (MZ) twins. Genomewide DNAm of 50 MZ twin pairs was profiled using the Infinium MethylationEPIC v2.0 BeadChip (935K). Generalized estimating equations (GEE) were used to examine the association between DNAm and SUA. Causal relationships between DNAm and SUA were assessed using ICE FALCON approach. Associations between mRNA expression and SUA were further assessed. Finally, candidate genes identified through epigenomewide association study (EWAS), causal inference, and gene expression analyses were validated in a longitudinal twin study. We identified 70 CpGs, mapping to genes such as and , significantly associated with SUA (Bonferroni correction < 5.8 × 10). Causal analyses revealed one CpG with a causal effect of DNAm on SUA, 22 CpGs with causal effects of SUA on DNAm, and 33 CpGs showing bidirectional causality. Eleven genes displayed expression levels associated with SUA. , , , and were selected as candidate genes, all of which showed unidirectional causal effect of SUA on DNAm. In the longitudinal analysis, baseline SUA levels (2012-13) were associated with subsequent DNAm levels in and genes (2023-24). In conclusion, we found that SUA levels may influence DNAm variations, particularly at CpG loci within the and genes. These findings provide key clues for future investigations into the mechanisms linking SUA with its epigenetic regulatory pathways. - Source: PubMed
Publication date: 2026/05/21
Yang RunshengLuo JiaZhang DongfengTian XiaocaoWang Weijing - Metabolic dysfunction-associated steatotic liver disease (MASLD) is driven by unresolved inflammation, yet precise mechanisms linking immune metabolism to disease progression remain elusive. Here, we identified myeloid-expressed Mas, a G protein-coupled receptor, as a critical metabolic checkpoint in MASLD. Mas expression is elevated in hepatic myeloid cells from patients and diet-induced mouse models. Myeloid-specific Mas1 deletion attenuated MASLD by restraining glycolytic reprogramming and inflammatory senescence. Single-cell RNA sequencing analyses revealed that this deletion specifically impaired the glycolytic flux and subsequent pathogenic differentiation of FN1⁺CCR2⁺ monocyte precursors. Mechanistically, Mas interacts with the glycolytic enzyme PKM2, enhancing lactate production that drives lactylation of the transcription factor Spi1 at lysine 208. Spi1-K208 lactylation promotes its nuclear localization and transcriptional activation of senescence-associated secretory phenotype (SASP) genes. Myeloid-specific Pkm2 ablation phenocopied the protective effect of Mas1 deletion, and PKM2 overexpression rescued the metabolic and transcriptional defects caused by Mas loss. Virtual screening identified theaflavin-3,3'-digallate (TFDG) as a Mas inhibitor that disrupts the Mas-PKM2 interaction. A macrophage membrane-coated nanoparticle (MM@NP-TFDG) delivered TFDG specifically to hepatic macrophages, suppressed the Mas-PKM2-Spi1 lactylation axis, and ameliorated MASLD pathology in vivo. Our findings define a novel Mas-PKM2-Spi1 lactylation axis that orchestrates glycolytic reprogramming, monocyte precursor differentiation, and macrophage-driven inflammation in MASLD, presenting a targeted nanotherapeutic strategy for its treatment. - Source: PubMed
Publication date: 2026/05/19
Zhao LuyingXu ShujingQiao ShikaiWang ZheWang ShenglanLiu ChunZhang ShuoWang PengSun XianghuaLi ShanshanChen LiZhang XiaokunHu ChengxiZhou YongpingXia LuYang ChangqingLi Jing - Lipid layers are the foundational element of biological membranes and can exhibit heterogeneous structural ordering that impacts membrane function. However, important thermodynamic aspects of transitions between fluid and ordered lipid phases are still not fully understood. Using state-of-the-art grazing-incidence X-ray diffraction, we are able to re-assess the structural transition between the fluid, liquid-expanded (LE) phase and the chain-crystalline, liquid condensed (LC) phase of Langmuir monolayers of a saturated double-chain phosphatidylcholine (1,2-dipentadecanoyl--3-phosphocholine, diCPC) at the air-water interface, induced by lateral compression. While the sharp diffraction peaks characteristic for the LC phase are seen at phase coexistence but not in the LE phase, the broad peak indicative of LE-like short-range correlations persists throughout the entire transition and beyond. The monolayer's structural parameters are found to depend on the transition progress. These observations indicate that lateral compression at typical speeds is not quasi-static and thereby shed some light on the non-horizontality of the transition plateau in pressure-area isotherms. - Source: PubMed
Publication date: 2026/05/13
Weber KonradReed JoshuaMueller BastianShen ChenBrezesinski GeraldSchneck Emanuel - Multifunction radar (MFR) systems dynamically switch among diverse working modes according to mission requirements and environmental conditions. Accurate, real-time recognition of these modes is essential for radar intelligence and electronic countermeasures. Existing pulse descriptor word (PDW)-based approaches depend on pulse-level parameter extraction, suffering from accumulated processing latency and performance degradation under low signal-to-noise ratio (SNR) and severe pulse-loss scenarios. To address these limitations, this article proposes an end-to-end signal-level framework for streaming MFR working mode recognition. The framework directly processes the time-frequency spectrogram of the received intermediate-frequency (IF) signal to generate temporally aligned working-mode labels at the input sampling resolution. To enable efficient online inference, a perception-knowledge-memory network (PKM-Net) was further proposed. It uniquely combines a Transformer-based perception module for local feature extraction with a GRU-based interparagraph memory module to capture long-range contextual dependencies while maintaining a constant memory cost. The experimental results demonstrate that PKM-Net achieves 99.88% accuracy, significantly outperforming recent state-of-the-art (SOTA) baselines in robustness tests. Furthermore, with a compact footprint (10.43 MiB) and low latency (1.64 ms), it offers a feasible solution for real-time online processing in complex electromagnetic scenarios. - Source: PubMed
Publication date: 2026/05/13
Liu YumingCui GuolongWang MouYu XianxiangKong Lingjiang