Publications by authors named "Wei Cai"

Sodium-glucose cotransporter-2 inhibitors have been proposed as caloric restriction mimetics with potential anti-aging effects. However, clinical data on their influence on aging biomarkers are limited. In this multicenter, randomized, double-blind, placebo-controlled trial, 150 participants with type 2 diabetes are randomized (1:1) to receive oral henagliflozin (10 mg/day) or placebo for 26 weeks.

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NHVO (NVO) is considered a promising cathode material for aqueous zinc-ion batteries due to its high theoretical capacity. However, its practical application is limited by irreversible deamination, structural collapse, and sluggish reaction kinetics during cycling. Herein, K and CN co-intercalated NVO (KNVO-CN) nanosheets with expanded interlayer spacing are synthesized for the first time to achieve high-rate, stable, and wide-temperature cathodes.

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Photocatalytic nitrogen reduction to ammonia (NH) under ambient conditions offers a sustainable alternative to the energy-intensive Haber-Bosch process but faces significant challenges. Inspired by biological nitrogen fixation, a thiosalicylic acid (TSA)-derived Fe-S cluster catalyst with dual active sites (FeS and FeS) is rationally designed and synthesized. Guided by the hard-soft acid-base (HSAB) theory, the Fe⁺/Fe⁺ ratio in the iron source is optimized to regulate the content of these two coordination structures in the catalysts.

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Tenosynovial giant cell tumor (TGCT) is a rare neoplasm closely associated with dysregulation of the colony-stimulating factor 1(CSF1)/CSF1R signaling pathway, faces high recurrence rates despite surgical intervention, prompting exploration of CSF1R inhibitors like pexidartinib. This retrospective pharmacovigilance study analyzed pexidartinib-associated adverse events (AEs) from FDA Adverse Event Reporting System (FAERS) data (Q4 2019-Q3 2024), employing disproportionality analyses (ROR, PRR, BCPNN, EBGM) and sensitivity assessments to evaluate 844 reports. Hepatic events (46.

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Photonic time crystals can induce amplified radiation associated through momentum-gap modes, leading to various optical applications. However, the size of momentum is finite because of the finite relative change of the refraction index, while the amplification of the gaps is needed in the entire momentum space. Here, we introduce the concept of the photonic temporal Fibonacci quasicrystal.

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Brassinosteroids (BRs) are crucial for plant growth, but their role in rice quality regulation remains unclear. This study used BR-deficient lines (osd11#1 and osd11#2), BR-enhanced lines (OsD11-OE1 and OsD11-OE2), and wild-type rice (Zhonghua 11) to investigate BRs' effects on rice quality. Key enzyme activities (GBSS, SSS, SBE) were analyzed, alongside starch structure characterization (molecular weight distribution, chain length distribution, crystallinity) and functional properties (thermal behavior, swelling power, solubility, digestibility).

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Acute lymphoblastic leukemia (ALL) is a malignant disease characterized by the clonal proliferation of precursor lymphoblasts in the bone marrow. Granular acute lymphoblastic leukemia (G-ALL) is a rare subtype of ALL, primarily associated with B-cell lineage. Traditionally, cytoplasmic granules indicate myeloid leukemia cell differentiation, as primitive lymphoblasts typically lack cytoplasmic granules.

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Background: Fibroblast activation protein-α (FAPα), a transmembrane protein highly expressed in rheumatoid arthritis (RA) synovium, is postulated to drive inflammatory cascades, yet its mechanistic role remains elusive. Wangbi granules (WBG), a clinically used traditional Chinese medicine (TCM), show anti-RA potential but lack defined pharmacological evidence.

Purpose: To identify FAPα as an inflammatory driver in RA pathogenesis and decipher how WBG suppresses FAPα-mediated AKT/mTOR signaling to resolve inflammation.

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Objective: To identify the anti-inflammatory ingredients of a typical Dong herbal medicine Jiao Mei Gu (JMG) (Cayratia albifolia C.L.Li) and reveal the underlying mechanisms.

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The incorporation of phase change material (PCM) can enhance wall thermal performance and indoor thermal comfort, but practical applications still face challenges related to high costs and potential leakage issues. In this study, a novel dual-biomass-based shape-stabilized PCM (Bio-SSPCM) was proposed, wherein waste cooking fat and waste reed straw were, respectively, incorporated as the PCM substance and supporting material. The waste fat (lard) consisted of both saturated and unsaturated fatty acid glycerides, exhibiting a melting point about 21.

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Purpose: This study aimed to examine pathogenic variations in three families clinically diagnosed with suspected Lynch syndrome (LS).

Methods: Three probands clinically diagnosed suspected LS were subjected to immunohistochemical analysis of DNA mismatch repair (MMR) protein. Whole-exome sequencing and Sanger sequencing were performed to screen pathogenic variations.

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Carrier mobility has conventionally been manipulated to enhance thermoelectric performance by reducing crystal defects. Therefore, an effective strategy for optimizing carrier mobility is highly desired for nanostructured materials. In this work, InSb nanoprecipitates are formed in situ within the nanostructured MgAgSb matrix, serving as channels for accelerating charge carriers.

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Effective manipulation of radiative cooling power is crucial for thermal management systems. However, the potential for radiative cooling regulation through emissivity modulation in textiles remains unexplored. As a proof-of-concept, a self-adaptive radiative cooling fabric (SARCF) is presented, exhibiting high solar reflectance and variable infrared emissivity.

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Background: Circular RNAs (circRNAs) are implicated in Hirschsprung's disease (HSCR), a genetic disorder caused by defective migration and proliferation of enteric neural crest cells (ENCCs).

Methods: Expression patterns of circANKRD12 and circTIMMDC1, and related molecules in the miR-181b-5p-PROX1-NOTCH1 axis were analyzed in human and mouse fetal intestines and HSCR patient tissues. Functional assays, including in vitro neural cell experiments, ex vivo ENCC explant, and in vivo zebrafish models, were conducted to assess the effects on neural cell behavior.

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Preoperative prediction of lateral lymph node metastasis is clinically crucial for guiding surgical strategy and prognosis assessment, yet precise prediction methods are lacking. We therefore develop Lateral Lymph Node Metastasis Network (LLNM-Net), a bidirectional-attention deep-learning model that fuses multimodal data (preoperative ultrasound images, radiology reports, pathological findings, and demographics) from 29,615 patients and 9836 surgical cases across seven centers. Integrating nodule morphology and position with clinical text, LLNM-Net achieves an Area Under the Curve (AUC) of 0.

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Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is a severe neurological disorder characterized by the presence of autoantibodies against the NMDAR and blood-brain barrier (BBB) disruption. This study investigates the involvement of monocytes and interferon regulatory factor 7 (IRF7) in BBB leakage of this disease. In anti-NMDAR encephalitis patients, the circulating monocytes count was positively correlated with BBB disruption, besides, IRF7 was activated in these cells.

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Objectives: Cannulating protruding or pendulous type 3 papilla presents a higher level of difficulty in ERCP. Although pre-cutting papillotomy is a viable strategy, it is not without challenges. To overcome this issue, we developed a modified dual knife fistulotomy technique.

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Pulmonary arterial hypertension (PAH) is a life-threatening condition characterized by significantly elevated pulmonary artery pressure (PAP) and resistance. While targeted drugs can alleviate symptoms, their long-term efficacy is limited, and treatment is often associated with notable side effects and financial burden. Percutaneous pulmonary artery denervation (PADN) offers a novel interventional approach for PAH patients with inadequate responses to targeted therapy by selectively ablating sympathetic nerves and restoring neurohumoural balance.

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The creep behavior of thermoplastic polymeric materials is highly dependent on loading conditions, which must be accounted for in the intrinsic model. In this paper, fractional creep models have been developed to describe the temperature/stress-dependent creep/creep-recovery and accelerated creep damage behavior, with the construction of a criterion correlating model parameters with temperature and initial stress. The fractional order in the fractional creep/creep-recovery model can be physically interpreted by the well-known master curve, and the creep rupture time can be predicted by combining the Monkman-Grant law with the fractional creep damage model.

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Perception of external temperature is essential for maintaining homeostasis and avoiding thermal injury. Although molecular thermosensors such as transient receptor potential melastatin type 8 (TRPM8) have been identified, the neural circuits responsible for transmitting cool signals remain unclear. Here we show that a spinal circuit in mice conveys cool signals from the skin to the brain.

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Confronting post-stroke neural inflammation is regarded as a promising therapeutic strategy for cerebral ischemia. Macrophage inflammasome activation plays a vital role in driving neural inflammation, and thus directly impacts stroke outcomes. Micheliolide (MCL), a newly discovered modifier of macrophage function, mechanistically suppresses NLRP3 macrophage signaling.

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Medical entity alignment is crucial for the integration and reasoning of medical knowledge, aiming to match semantically equivalent entities across different medical knowledge graphs. Unlike entities in general knowledge graphs, medical entities contain rich multi-aspect information, which not only includes structural and attribute information but also additional information such as ontology and descriptions. However, existing entity alignment methods overlook these additional pieces of information and lack exploration into the fusion of multi-aspect information.

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Traditional recommender systems often assume that there is only one type of interaction between a user and an item, which does not reflect the complexity of real-life users engaging in multiple behaviors such as browsing, clicking, adding to cart, and purchasing. Recent multi-behavioral recommendation methods have demonstrated their effectiveness, while they still suffer from two limitations: (1) Unbalanced user interaction data and sparse node neighbor information pose challenges to user preference modeling. (2) Direct transfer of information from the auxiliary behavior to the target behavior introduces noise.

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