CD95 _ Fas
- Known as:
- CD95 _ Fas
- Catalog number:
- 10-395-C100
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- Exbio
- Gene target:
- CD95 _ Fas
Related genes to: CD95 _ Fas
- Gene:
- FAS NIH gene
- Name:
- Fas cell surface death receptor
- Previous symbol:
- FAS1, APT1, TNFRSF6
- Synonyms:
- CD95, APO-1
- Chromosome:
- 10q23.31
- Locus Type:
- gene with protein product
- Date approved:
- 1992-06-25
- Date modifiied:
- 2019-04-23
Related products to: CD95 _ Fas
Related articles to: CD95 _ Fas
- Sepsis is a dysregulated response of the host to infection that can lead to life-threatening organ dysfunction and remains a leading cause of mortality. Early recovery of impaired organ function is crucial for the outcomes of sepsis. Electroacupuncture (EA) is a promising adjunctive therapy for sepsis, but no study has focused on the efficacy of EA for organ dysfunction. This study aimed to investigate the efficacy and safety of EA in improving organ dysfunction among intensive care unit (ICU) patients with sepsis. - Source: PubMed
Publication date: 2026/07/23
Meng QiYu Ling-LingJing Xiang-HongLi ManHuang Qian-RuiXu Ting-TingBian YiLi Shu-Sheng - Metabolic dysfunction-associated steatotic liver disease (MASLD) primarily results from excessive nutrient consumption, with lifestyle modifications, particularly dietary interventions, constituting a principal strategy for its management. This study sought to examine the ameliorative effects of a quinoa diet (QD) on hepatic lipid metabolism in mice with MASLD. Six-week-old male C57BL/6J mice were fed with a QD for 12 weeks, and age-matched male mice were subjected to a high-fat diet (HFD) to establish obese MASLD models, followed by QD intervention. Compared with the chow diet (CD) group, QD supplementation maintained lower levels of Lee's index, serum AST and ALT, confirming its regulatory effect on hepatic fat accumulation. In MASLD mice, QD supplementation markedly decreased Lee's index, blood glucose, ALT, AST, LDL-C, TC and TG contents. It also downregulated the gene expression of ACC, FAS and SCD-1 as well as the protein levels of PPARγ and PLIN2, thereby alleviating HFD-triggered hepatic lipid metabolism disorders. Lipids and lipid-like molecules were the most significantly altered metabolites in QD-treated mice, accounting for 50.87% of all differential metabolites. Collectively, quinoa demonstrates the capacity to enhance hepatic lipid metabolism in mice with metabolic-associated steatotic liver disease (MASLD), with the PPARγ-PLIN2 signaling pathway potentially serving as a central therapeutic target. These findings indicate that quinoa holds significant promise as a functional food for the intervention and mitigation of MASLD. - Source: PubMed
Publication date: 2026/07/23
Liu PeijieWan JingyangQiao LupingZhang WenkeSun BingxinHu MinghuiZhang YuboJing XinyuWang YangHu YushiKang Liang - Foamed bitumen stabilisation is a sustainable technique for enhancing the mechanical properties of unbound granular materials and rehabilitating aged pavements. This process produces a flexible pavement base and subbase layers with improved mechanical performance and durability. This study investigated foamed bitumen stabilised (FBS) mixtures for pavements in which the aggregate matrix consists entirely of industrial by-products. Three aggregate compositions, including 100% ladle furnace slag (100LFS), 100% electric arc furnace slag (100EAFS) and a combination of 50% EAFS and 50% LFS by mass (50EAFS/50LFS) were used as parent materials for foamed bitumen stabilisation. Alkali-activated fly ash (FA) and slag (S)-based geopolymer was used as a secondary binder to replace conventional carbon-intensive binders such as hydrated lime or cement while enabling rapid strength gain. The mechanical performance of the FBS mixtures was evaluated through unconfined compressive strength (UCS), indirect tensile resilient modulus (ITM ), repeated load triaxial (RLT) and four-point flexural bending tests, while reinforcement mechanisms were studied using scanning electron microscopy. The results showed that the FBS mixtures incorporating 10%(FA+S) geopolymer achieved higher UCS values than benchmark mixtures with 2% cement, ranged from 4.05 MPa to 20.1 MPa with respected to different aggregate compositions and curing conditions. Two FBS mixtures, 50EAFS/50LFS + 3%B + 10%(FA+S) and 100LFS + 3%B + 10%(FA+S) complied the stiffness requirement for pavement applications, with 50EAFS/50LFS + 3%B + 10%(FA+S) being the optimum mixture and achieved highest ITM of 4135 MPa and 2685 MPa under unsoaked and soaked condition, respectively. RLT and four-point flexural bending results also showed acceptable performance of the resilient modulus and fatigue resistance of the FBS mixtures incorporating 10%(FA+S) geopolymer. The findings of this study demonstrated the technical feasibility of using steel slag aggregates and geopolymers in foamed bitumen stabilisation for future sustainable road construction, offering improved mechanical properties and durability and a reduced carbon footprint. - Source: PubMed
Publication date: 2026/06/18
Lin YouliBai YuejiDayaratne DulanjaMaghool FarshidArulrajah Arul - BackgroundThree-dimensional distance and coverage mapping (DM and CM) generated through weightbearing CT (WBCT) can aid in understanding the complex articular relationship in hallux valgus (HV). Minimally invasive (MIS) hallux valgus correction has become popular in correcting this deformity. Prior biomechanical studies have demonstrated that alterations occur at the first metatarsophalangeal (MTP) and tarsometatarsal (TMT) articulations following correction. The purpose of this study is to evaluate DM and CM characteristics at the first MTP and TMT joint as well as the medial metatarsosesamoid joint in a cohort of hallux valgus patients following MIS hallux valgus correction.MethodsTwelve patients (10 female, 2 male; mean age 56.42 ± 13.15 years) were enrolled, undergoing preoperative and 6-month postoperative WBCT scans following MIS hallux valgus correction. Foot Ankle Ability Measure (FAAM) scores were also collected at both visits. Automated segmentation was performed using a deep learning-based approach to generate accurate bone masks from volumetric imaging data. Coverage (contact) and distance maps were created based on established protocols for the medial metatarsosesamoid, first MTP, and first TMT joints. Statistical analysis was conducted using paired t-tests and Wilcoxon signed-rank test as appropriate.ResultsRegarding distance maps, at the metatarsosesamoid articulation, there was a significant increase in distance between the metatarsal and medial sesamoid along all quadrants of the joint postoperatively when compared with preoperative (P < .05). At the MTP and TMT joints, there was no significant change in joint distance postoperatively. Regarding coverage maps, at the MTP joint, increases in joint contact for dorsomedial (17.9 ± 11.1% vs 38.5 ± 15.1%, P < .001) and plantarmedial (21.7 ± 16.0% vs 54.1 ± 24.7%, P < .001) quadrants when compared with pre-op were observed. There was no significant change along its dorsolateral (80.3 ± 10.1% vs 68.7 ± 16.2%, P = .05) or plantarlateral (87.5 ± 6.5% vs 86.8 ± 10.6% P = .85) aspects. At the TMT joint, there was a significant increase at the dorsolateral (83.5 ± 11.8% vs 89.7 ± 10.2%, P = .02) and plantarlateral (57.6 ± 4.7% vs 65.4 ± 5.6%, P < .001) quadrants when compared with pre-op. There was a significant decrease in contact along the dorsomedial (89.2 ± 13.1% vs 71.1 ± 20.6%, P = .002) and plantarmedial (86.7 ± 10.6% vs 70.2 ± 14.3%, P < .001) quadrants. There was no difference between pre-op and post-op FAAM scores.DiscussionNotable differences were observed with respect to contact maps at the MTP and TMT joints indicating improved coverage of the MTP joint postoperatively. Relative decrease in coverage was observed at the medial TMT joint, reflecting medial displacement of the proximal metatarsal segment. Distance mapping at the medial metatarsosesamoid articulation demonstrated improved sesamoid alignment postoperatively.Levels of EvidenceLevel 2. - Source: PubMed
Publication date: 2026/07/22
Reddy Sudheer CCuttica Daniel JNeufeld Steven KTran KhueLi XiaoxuChen CunjianKe Qiuhong - Engineered or laboratory-evolved proteins often have suboptimal stability, activity or specificity. Here we applied artificial intelligence (AI)-based protein sequence design to address challenges in experimental enzyme evolution. Using the model ProteinMPNN, we redesigned three distinct botulinum neurotoxin (BoNT) proteases, generating variants with improved stability and full catalytic efficiency. We hypothesized that redesigned enzymes may be more mutationally robust than their wild-type (WT) counterparts, and therefore may serve as better starting points to evolve new function. We performed side-by-side phage-assisted continuous evolution campaigns initiated with AI-redesigned proteases or with the corresponding WT proteases. Evolving three distinct redesigned enzymes as starting points consistently yielded proteases with higher activity than evolving WT proteases in the same selection. Across four evolution campaigns, redesign conferred robustness that unlocked access to otherwise inaccessible highly functional sequences, confirmed by the inability of redesign-evolved mutations to function in WT enzyme backgrounds. When redesign raises fitness in sequence space local to the starting point, redesigned starting points adapt at a faster rate. Finally, we evolved both WT and AI-redesigned BoNT/E protease to selectively cleave the therapeutically relevant protein ataxin-2. Proteases evolved from the redesigned starting point reached higher catalytic efficiency and stability while minimizing native substrate cleavage, achieving more than 79-fold greater selected specificity for ataxin-2 than the best-performing variant evolved from WT BoNT/E. This study establishes a practical workflow using AI-redesigned starting points to evolve enzymes with improved properties compared with those evolved from natural proteins, with broad implications for protein science. - Source: PubMed
Publication date: 2026/07/22
Krasnow Nicholas AXu Joy AZhang EmilyMahadeshwar Gandhar KTao Y AllenMcCreary JuliaHemez Colin FBrown Logan EJiang WeiLiu David R