Explore the vast range of titles available.

The abuse of antibiotics urgently requires rapid identification of drug-resistant bacteria at the point of care (POC). Here we report a visual paper sensor that allows rapid (0.25-3 h) discrimination of the subtypes of β -lactamase (the major cause of bacterial resistance) for precision antibiotic therapy. The sensor exhibits high performance in identifying antibiotic-resistant bacteria with 100 real samples from patients with diverse bacterial infections, demonstrating 100% clinical sensitivity and specificity. Further, this sensor can enhance the accuracy of antibiotic use from 48% empirically to 83%, and further from 50.6% to 97.6% after eliminating fungal infection cases. Our work provides a POC testing platform for guiding effective management of bacterial infections in both hospital and community settings. The rapid identification of drug-resistant bacteria is vital for effective treatment and to avoid antibiotic misuse. Here authors report a paper-based sensor which utilises chromogenic carbapenem and cephalosporin substrates for the identification and discrimination of β -lactamase subtypes.

Upland buzzard (Buteo hemilasius), Saker falcon (Falco cherrug), and Himalayan vulture (Gyps himalayensis) are three common large raptors in the Sanjiangyuan National Park (SNP), China's first national park. Among them, Upland buzzard and Saker falcon play a significant role in controlling plateau rodent populations and reducing the transmission of pathogens carried by rodents. The Himalayan vulture can provide services for the redistribution and recycling of nutrients in the ecosystem, and play an irreplaceable role in the celestial burial culture of Tibetans in China. Exploring their habitat suitability is important for the protection of the three raptors. Our research was based on the current distribution of Upland buzzard, Saker falcon, and Himalayan vulture that we had extensively surveyed in the Sanjiangyuan National Park from 2016 to 2017. Combined with the correlation analysis of environmental variables, we utilized maximum entropy model (MaxEnt) to evaluate and compare the habitat suitability of the three species in the Sanjiangyuan National Park. Elevation, climate, and human disturbance factors, which had direct or indirect effects on species survival and reproduction, were all included in the model. Among them, elevation was the most important environmental variables affecting the suitability of habitats of three species. Temperature‐related factor was another important predictor. The high (>60%) suitable habitat areas for Upland buzzard, Saker falcon, and Himalayan vulture were 73,017.63, 40,732.78, and 61,654.33 km2, respectively, accounted for 59.32%, 33.09%, and 50.08% of the Sanjiangyuan National Park and their total suitable area (i.e., the sum area of high and moderate habitats) reached 96.07%, 60.59%, and 93.70%, respectively. Besides, the three species have overlapping areas for the suitable habitats, which means that overlapping areas should be highly valued and protected. Therefore, understanding the distribution of suitable habitats of the three raptors can provide useful information and reasonable reference for us to put forward suggestions for their protection and regional management. This study used the maxent model to assess the habitat suitability of Upland buzzard, Saker falcon, and Himalayan vulture in Sanjiangyuan National Park, China (China's first national park). This research might provide a scientific basis for the conservation and management of species in Sanjiangyuan National Park, while raptors as umbrella species can benefit other species when they are protected and concerned.

The rational evaluation on the performance evolution of liquefiable soil subjected to the earthquake is essential to solve the problem of large deformation. The undrained cyclic triaxial tests are conducted on the saturated Nanjing fine sand to study the relationship of shear stress–strain, the development of excess pore water pressure, and the evolution of the fluidity including apparent viscosity and average flowing coefficient during the liquefaction process. An obvious stage characteristic is observed in the process of soil liquefaction, which can be divided into four stages including the solid stage, solid–fluid transition stage, thixotropic fluid stage, and stable fluid stage depending on the growth rate of excess pore water pressure ratio, which is related to the residual shear strain of soil. A higher cyclic stress ratio and lower confining pressure lead to a lower number of cycles and excess pore water pressure ratio for triggering the stage transformation. Moreover, a linear relationship between the required number of cycles and the corresponding pore pressure ratio for stage separation is demonstrated. Furtherly, the modified state equation describing the connection between shear stress and shear strain rate is obtained by introducing Gompertz growth function to express the relationship between the apparent viscosity and excess pore water pressure ratio. Consequently, a modified thixotropic-induced excess pore pressure (MTEPP) model is established by considering the stage characteristics of soil liquefaction by adapting varying destruction parameters c. At last, the flow chart using MTEPP model to calculate the excess pore pressure ratio and shear strain of liquefiable soil is proposed and implemented. Compared with the experimental results, the proposed MTEPP model can well describe the behaviors of soil liquefaction during the stage transition process.

Tibetan medicinal materials play a significant role in Tibetan culture. However, some types of Tibetan medicinal materials share similar shapes and colors, but possess different medicinal properties and functions. The incorrect use of such medicinal materials may lead to poisoning, delayed treatment, and potentially severe consequences for patients. Historically, the identification of ellipsoid-like herbaceous Tibetan medicinal materials has relied on manual identification methods, including observation, touching, tasting, and nasal smell, which heavily rely on the technicians’ accumulated experience and are prone to errors. In this paper, we propose an image-recognition method for ellipsoid-like herbaceous Tibetan medicinal materials that combines texture feature extraction and a deep-learning network. We created an image dataset consisting of 3200 images of 18 types of ellipsoid-like Tibetan medicinal materials. Due to the complex background and high similarity in the shape and color of the ellipsoid-like herbaceous Tibetan medicinal materials in the images, we conducted a multi-feature fusion experiment on the shape, color, and texture features of these materials. To leverage the importance of texture features, we utilized an improved LBP (local binary pattern) algorithm to encode the texture features extracted by the Gabor algorithm. We inputted the final features into the DenseNet network to recognize the images of the ellipsoid-like herbaceous Tibetan medicinal materials. Our approach focuses on extracting important texture information while ignoring irrelevant information such as background clutter to eliminate interference and improve recognition performance. The experimental results show that our proposed method achieved a recognition accuracy of 93.67% on the original dataset and 95.11% on the augmented dataset. In conclusion, our proposed method could aid in the identification and authentication of ellipsoid-like herbaceous Tibetan medicinal materials, reducing errors and ensuring the safe use of Tibetan medicinal materials in healthcare.

Volatile organic compounds (VOCs) are a class of hazardous gases that are widely present in the atmosphere and cause great harm to human health. In this paper, a ratiometric fluorescent probe (Dye@Eu-MOFs) based on a dye-functionalized metal–organic framework was designed to detect VOCs, which showed high sensitivity and specificity for acetaldehyde solution and vapor. A linear correlation between the integrated fluorescence intensity (I510/I616) and the concentration of acetaldehyde was investigated, enabling a quantitative analysis of acetaldehyde in the ranges of 1 × 10−4~10−5 μL/mL, with a low detection limit of 8.12 × 10−4 mg/L. The selective recognition of acetaldehyde could be clearly distinguished by the naked eye under the excitation of UV light. The potential sensing mechanism was also discussed. Significantly, a molecular logic gate was constructed based on the whole system, and finally, a molecular logic network system for acetaldehyde detection connecting basic and integrated logic operations was realized. This strategy provided an effective guiding method for constructing a molecular-level logic gate for acetaldehyde detection on a simple platform.

This study aimed to assess the effectiveness, safety, and recurrence patterns of first-line immunotherapy combined with chemoradiotherapy in esophageal squamous cell carcinoma (ESCC) patients. A retrospective analysis of 79 eligible ESCC patients was conducted. Primary outcomes included overall survival (OS) and progression-free survival (PFS), with secondary outcomes being objective response rate (ORR), disease control rate (DOR), treatment-related adverse events (trAEs), and treatment failure patterns. The median follow-up was 29.4 months, with median OS unreached and median PFS of 14.6 months (95% CI 10.7–18.5). ORR was 82.3%, and DOR was 96.2%. Factors affecting OS were clinical stage, immunotherapy cycles, immunotherapy and chemoradiotherapy sequence, radiation coverage, mid-treatment lymphocyte count, and short-term efficacy (HR = 2.254, 0.374, 2.653, 2.957, 2.309, 2.789; P  = 0.030, 0.019, 0.009, 0.004, 0.001, 0.014). Factors impacting PFS were clinical stage, immunotherapy and chemoradiotherapy, and post-treatment lymphocyte count (HR = 2.135, 2.048, 1.911; P  = 0.007, 0.010, 0.001). Among the cohort, 46.8% experienced treatment failure, with 33 receiving second-line treatment, resulting in a median OS of 14.17 months (95% CI 7.303–21.037) and 1- and 2-year OS rates of 56.7% and 24.3%. Notably, 36.7% experienced grade ≥ 2 trAEs, bone marrow suppression most commonly happened, and 5.1% developed esophageal fistulas. Immunotherapy combined with chemoradiotherapy demonstrates strong anti-tumor activity and tolerability in ESCC patients, The radiation for all leisions, sequential immunotherapy combined with chemoradiotherapy, and higher levels of lymph node cell counts are associated with a better prognosis. Large-scale randomized controlled trials are needed for further validation.

In this study, a novel carbon quantum dots-functionalized UiO-66 composite was successfully prepared via the post-synthetic modification method and further developed into a ratiometric fluorescent probe for detecting uric acid. The composite demonstrates excellent structural and luminescent stability under challenging environmental conditions. As a ratiometric fluorescent probe, its recognition principle relies on the ratio of response signals from two different fluorescent emission centers in the composite. In the presence of uric acid, the fluorescence emission intensity at 430 nm from CDs did not change significantly. However, the fluorescence intensity at 545 nm from Tb3+ ions decreased remarkably. This material was evaluated for its capacity to sense urinary components and was shown to specifically recognize uric acid over a wide concentration range (0~5 × 10−3 M). Moreover, it exhibited strong resistance to interference and high sensitivity in uric acid detection. The detection limit (LOD) was determined to be 0.102 μM through quantitative analysis. The sensing mechanism was validated through spectral overlap and fluorescence lifetime analysis, which can be attributed to the fluorescence resonance energy transfer (FRET) process. This ratiometric fluorescent probe provides an efficient and reliable strategy for detecting the biomarker uric acid.

The identification of a new generation of potent broadly neutralizing HIV-1 antibodies (bnAbs) has generated substantial interest in their potential use for the prevention and/or treatment of HIV-1 infection. While combinations of bnAbs targeting distinct epitopes on the viral envelope (Env) will likely be required to overcome the extraordinary diversity of HIV-1, a key outstanding question is which bnAbs, and how many, will be needed to achieve optimal clinical benefit. We assessed the neutralizing activity of 15 bnAbs targeting four distinct epitopes of Env, including the CD4-binding site (CD4bs), the V1/V2-glycan region, the V3-glycan region, and the gp41 membrane proximal external region (MPER), against a panel of 200 acute/early clade C HIV-1 Env pseudoviruses. A mathematical model was developed that predicted neutralization by a subset of experimentally evaluated bnAb combinations with high accuracy. Using this model, we performed a comprehensive and systematic comparison of the predicted neutralizing activity of over 1,600 possible double, triple, and quadruple bnAb combinations. The most promising bnAb combinations were identified based not only on breadth and potency of neutralization, but also other relevant measures, such as the extent of complete neutralization and instantaneous inhibitory potential (IIP). By this set of criteria, triple and quadruple combinations of bnAbs were identified that were significantly more effective than the best double combinations, and further improved the probability of having multiple bnAbs simultaneously active against a given virus, a requirement that may be critical for countering escape in vivo. These results provide a rationale for advancing bnAb combinations with the best in vitro predictors of success into clinical trials for both the prevention and treatment of HIV-1 infection.

Background Diverse gut microbiota in animals significantly influences host physiology, ecological adaptation, and evolution. However, the specific functional roles of gut microbiota in facilitating host adaptation, as well as the coevolutionary dynamics between microbiota and their hosts, remain largely understudied. Results A total of 41,847 metagenome-assembled genomes and 3193 high-quality species-level genome bins were generated, establishing a comprehensive gut microbiome catalog for cervids in this study. Phylogenetic analysis revealed a coevolutionary relationship between cervids and their gut microbiota. Comparative metagenomic analyses further indicated that the gut microbiota of plateau cervids have undergone genome-level adaptations related to energy metabolism. At the genus level, species-level genome bins from the genera Alistipes and Faecousia in plateau cervids exhibit enhanced energy metabolism capabilities. Structural variations analysis revealed that the insertion and duplications structural variations in the gut microbiota of plateau cervids were significantly enriched in energy metabolism pathways. In contrast, the deletions and contractions in structural variations were predominantly enriched with metabolic pathways involved in the biosynthesis of diverse biochemical molecules. Conclusions Our study provides a comprehensive gut microbiome catalog of the cervid gut microbiota, revealing the coevolutionary relationship between cervid gut microbiota and hosts. These findings highlight the adaptive genomic evolution of the gut microbiota in contributing to the plateau adaptability of cervids and offer new insights into the mechanisms by which the gut microbiota help hosts adapt to extreme environments.

Long noncoding RNAs (lncRNAs) have been verified as vital regulators in human disease, including atherosclerosis. However, the precise role of X-inactive-specific transcript (XIST) in atherosclerosis remains unclear. The proliferation and apoptosis of human umbilical vein endothelial cells (HUVECs) exposed to low-density lipoprotein (ox-LDL) were assessed by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2 -tetrazol-3-ium bromide, and flow cytometry assays, correspondingly. The western blot assay was used to quantify protein expression. Lactate dehydrogenase activity and the concentrations of inflammatory factors were measured by matched kits. The real-time quantitative polymerase chain reaction (qPCR) was used to determine α-smooth muscle actin, smooth muscle protein 22-α, XIST, miR-98-5p, and pregnancy-associated plasma protein A (PAPPA) levels in HUVECs. The relationship among XIST, miR-98-5p, and PAPPA was analyzed by dual-luciferase reporter, RNA immunoprecipitation, and RNA pull-down assays. We found ox-LDL repressed proliferation and induced inflammation and apoptosis in HUVECs. Loss-of-functional experiment suggested that the downregulation of XIST overturned the ox-LDL-induced effects on HUVECs. Additionally, overexpression of miR-98-5p-induced effects on ox-LDL-stimulated HUVECs was abolished by upregulation of XIST. However, silencing of miR-98-5p strengthened the ox-LDL-induced effects on HUVECs by increasing expression of PAPPA. Mechanistically, XIST could regulate PAPPA expression in ox-LDL-induced HUVECs by sponging miR-98-5p, providing understanding for atherosclerosis.