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Abstract Integrating hydrogen evolution reaction (HER) with hydrazine oxidation reaction (HzOR) has an encouraging prospect for the energy‐saving hydrogen production, demanding the high‐performance bifunctional HER/HzOR electrocatalyst. Ruthenium phosphide/doped carbon composites have exhibited superior activity toward multiple electrocatalytic reactions. To explore the decent water‐soluble precursors containing both N and P elements is highly attractive to facilely prepare metal phosphide/doped carbon composites. Herein, as one kind ecofriendly biomolecules, adenine nucleotide was first employed to selectively fabricate the highly pure RuP nanoparticles embedded into porous N,P‐codoped carbons (RuP/PNPC) with a straightforward “mix‐and‐pyrolyze” approach. The newly prepared RuP/PNPC only requires 4.0 and −83.0 mV at 10 mA/cm2 separately in alkaline HER and HzOR, outperforming most of reported electrocatalysts, together with the outstanding neutral bifunctional performance. Furthermore, the two‐electrode alkaline and neutral overall hydrazine splitting both exhibit significant power‐efficiency superiority to the corresponding overall water splitting with the voltage difference of larger than 2 V, which can be also easily driven by the fuel cells and solar cells with considerable H2 generation. Our report innovates the N‐ and P‐bearing adenine nucleotide to effortlessly synthesize the high‐quality RuP/doped carbon composite catalysts, highly potential as a universal platform for metal phosphide‐related functional materials.

The cultivation of Fritillaria ussuriensis faces challenges due to the prevalent Fritillaria wilt disease, hindering large-scale production. To address this, we aimed to understand the disease’s characteristics and develop effective prevention measures. Microbial communities of diseased F. ussuriensis plants were analyzed, pathogenic and antagonistic strains were screened, and biocontrol feasibility was tested. We identified Botryotinia predominance in aboveground parts and variations in Mrakia, Humicola, llyonectria, and Fusarium in underground parts. The pathogens Fusarium oxysporum IFM-1 and Fusarium solani IFM-52 isolated from diseased F. ussuriensis not only caused severe Fritillaria wilt but were also pathogenic to Lilium lancifolium and Allium cepa var. aggregatum in Liliaceae. The antagonistic Bacillus tequilensis LFM-30 and Trichoderma koningiopsis IFM-47 isolated from diseased plants significantly alleviated plant wilt and showed promise in preventing wilt disease caused by Fusarium in Liliaceae plants. Our study highlights distinct microbial differences between healthy and diseased F. ussuriensis and underscores the pathogenicity of Fusarium. Using T. koningiopsis and B. tequilensis either singly or in combination could offer effective biocontrol against F. solani and F. oxysporum, benefiting F. ussuriensis and related Liliaceae plants.

Thyroid cancer is the most common malignant neoplasm within the endocrine system and the field of head and neck surgery. Although the majority of thyroid cancers, more than 90%, are well-differentiated thyroid carcinomas with a favourable prognosis, the escalating incidence of this disease has contributed to an increasing number of patients with a propensity for recurrent disease, rapid disease progression, and poor or no response to conventional treatments. These clinical challenges are commonly attributed to alterations in key thyroid oncogenes or signaling pathways, thereby initiating tumour cell dedifferentiation events, accompanied by reduced or virtually absent expression of the sodium/iodine symporter (NIS). As a result, the disease evolves into iodine-refractory differentiated thyroid cancer (RAIR-DTC), an entity that is insensitive to conventional radioiodine therapy. Despite being classified as a differentiated thyroid cancer, RAIR-DTC has an extremely poor clinical prognosis, with a 10-year survival rate of less than 10%. Therefore, it is of paramount importance to comprehensively elucidate the underlying pathogenesis of RAIR-DTC and provide specific targeted interventions. As the pathogenic mechanisms of RAIR-DTC remain elusive, here we aim to review recent advances in understanding the pathogenesis of RAIR-DTC and provide valuable insights for the development of future molecularly targeted therapeutic approaches.

Objective Infection is a major cause of death in patients with SLE. This study aimed to explore the infection rate in patients with SLE receiving a low dose of intravenous cyclophosphamide (IV-CYC).Methods Clinical parameters of 1022 patients with SLE from 24 hospitals in China were collected. Patients were divided into the short-interval and lower-dose (SILD, 400 mg every 2 weeks) IV-CYC group and the high-dose (HD, 500 mg/m2 of body surface area every month) IV-CYC group. The clinical data and infection rate between the two groups were compared.Results Compared with HD IV-CYC, the infection rate of the SILD IV-CYC group was significantly lower (13.04% vs 22.27%, p=0.001). Respiratory tract infection (10.28% vs 15.23%, p=0.046) and skin/soft tissue infection (1.78% vs 4.3%, p=0.040) were significantly decreased in the SILD IV-CYC group. Moreover, infections occurred most likely in patients with SLE with leucopenia (OR 2.266, 95% CI 1.322 to 3.887, p=0.003), pulmonary arterial hypertension (OR 2.756, 95% CI 1.249 to 6.080, p=0.012) and >15 mg/day of glucocorticoid (OR 2.220, 95% CI 1.097 to 4.489, p=0.027).Conclusions SILD IV-CYC showed a lower frequency of infection events than high-dose IV-CYC in patients with SLE.

Despite the importance of G-protein-coupled receptors in many cellular functions, their intracellular organisation is largely unknown. The authors identified periodically repeating clusters of cannabinoid receptor 1 hotspots within neuronal axons that are dynamically regulated by CB1 agonists.

Summary: cGAS-STING signaling is essential for innate immunity. Its misregulation promotes cancer or autoimmune and autoinflammatory diseases, and it is imperative to identify effective lead compounds that specifically downregulate the pathway. We report here that astin C, a cyclopeptide isolated from the medicinal plant Aster tataricus, inhibits cGAS-STING signaling and the innate inflammatory responses triggered by cytosolic DNAs. Moreover, mice treated with astin C are more susceptible to HSV-1 infection. Consistently, astin C markedly attenuates the autoinflammatory responses in Trex1−/− BMDM cells and in Trex1−/− mouse autoimmune disease model. Mechanistically, astin C specifically blocks the recruitment of IRF3 onto the STING signalosome. Collectively, this study characterizes a STING-specific small-molecular inhibitor that may be applied for potentially manipulating the STING-mediated clinical diseases. : Li et al. have characterized a small-molecule cyclopeptide, astin C, which specifically inhibits cGAS-STING signaling as well as the innate inflammatory responses. This finding provides a way to potentially manipulate STING-mediated clinical diseases. Keywords: cGAS, STING, IRF3, TBK1, HSV-1, cyclopeptide, astin C, therapeutic target, innate immunity, autoimmune diseases

Highly pure Rh2P nanoparticles on N,P-codoped carbon were synthesized by a simple ‘‘mix-and-pyrolyze’’ method using one kind of low-cost nucleotide as the carbon, nitrogen and phosphorus source, which exhibits excellent bifunctional activity for the hydrogen reduction and hydrazine oxidation reactions, achieving energy-efficient hydrogen production. [ABSTRACT FROM AUTHOR]

The real-time identification of inflow aerodynamic parameters such as the flow separation situation, angle of attack, and inflow velocity is challenging. In this paper, a new data-driven strategy is proposed to attain real-time identification of the inflow aerodynamic parameters through a combination of experimental data (offline) and distributed pressure sensor measurements (online). In the offline procedure, pressures on the airfoil surface are measured by 10 distributed sensors under 45 different conditions. Particle image velocimetry measurements are recorded to determine the correlation between the pressure distribution and the aerodynamic parameters. Proper orthogonal decomposition (POD) is applied on the pressure data under all conditions to encode this correlation into a three-dimensional domain, with a compression ratio of more than 90%. In the online procedure, the k-nearest neighbor algorithm is used to identify the aerodynamic parameters of testing data in the established POD domain. Furthermore, a mathematical model is applied to optimize the pressure sensor locations. Using just four pressure measurement points, accuracy of 100% can be achieved for the flow separation detection, angle of attack, and inflow velocity. After flow separation, the new approach achieves an error of approximately ±1 deg for the angle of attack. [ABSTRACT FROM AUTHOR]