Long non-coding RNA LINC00491 accelerates head and neck squamous cell carcinoma progression through regulating miR-508-3p/SATB1 axis and activating Wnt signaling pathway.

Head and neck squamous cell carcinoma (HNSCC) is the most common malignancy of the head and neck epidermis. Accumulating long non-coding RNAs (lncRNAs) have been proven to be involved in the occurrence and development of HNSCC. LncRNA long intergenic non-protein coding RNA 491 (LINC00491) has been confirmed to regulate the progression of some cancers. In our study, we aimed to explore the potential biological function of LINC00491 and expound the regulatory mechanism by which LINC00491 affects the progression of HNSCC. RT-qPCR was utilized to analyze the expression of LINC00491 in HNSCC cell lines and the normal cell line. Functionally, we carried out a series of assays to measure cell proliferation, apoptosis, migration and invasion, such as EdU assay, colony formation, wound healing and western blot assays. Also, mechanism assays including RNA pull down and RIP were also implemented to investigate the interaction of LINC00491 and RNAs. As a result, we discovered that LINC00491 was highly expressed in HNSCC cells. In addition, LINC00491 depletion suppressed cell proliferation, migration and EMT process. Furthermore, we discovered that LINC00491 could bind to miR-508-3p. MiR-508-3p overexpression can restrain HNSCC cell growth. Importantly, miR-508-3p can target SATB homeobox 1 (SATB1) in HNSCC cells. Further, Wnt signaling pathway was proved to be activated by LINC00491 through SATB1 in HNSCC cells. In a word, LINC00491 accelerated HNSCC progression through regulating miR-508-3p/SATB1 axis and activating Wnt signaling pathway.

Assessing quality and reliability of online videos on tachycardia: a YouTube video-based study.

BACKGROUND: Considering the adverse clinical consequences of pathologic tachycardia and the potential anxiety caused by physiological tachycardia in some heathy individuals, it is imperative to disseminate health information related to tachycardia for promotion in early diagnosis and appropriate management. YouTube has been increasingly used to access health care information. The aim of this study is to assess the quality and reliability of English YouTube videos focusing on tachycardia and further delve into strategies to enhance the quality of online health resources. METHODS: We conducted a search using the specific key words "tachycardia" in YouTube online library on December 2, 2023. The first 150 videos, ranked by "relevance", were initially recorded. After exclusions, a total of 113 videos were included. All videos were extracted for characteristics and categorized based on different topics, sources or contents. Two independent raters assessed the videos using Journal of American Medical Association (JAMA) benchmark criteria, Modified DISCERN (mDISCERN) tool, Global Quality Scale (GQS) and Tachycardia-Specific Scale (TSS), followed by statistical analyses. All continuous data in the study were presented as median (interquartile range). RESULTS: The videos had a median JAMA score of 2.00 (1.00), mDISCERN of 3.00 (1.00), GQS of 2.00 (1.00), and TSS of 6.00 (4.50). There were significant differences in JAMA (P < 0.001), mDISCERN (P = 0.004), GQS (P = 0.001) and TSS (P < 0.001) scores among different sources. mDISCERN (P = 0.002), GQS (P < 0.001) and TSS (P = 0.030) scores significantly differed among various contents. No significant differences were observed in any of the scores among video topics. Spearman correlation analysis revealed that VPI exhibited significant correlations with quality and reliability. Multiple linear regression analysis suggested that longer video duration, sources of academics and healthcare professionals were independent predictors of higher reliability and quality, while content of ECG-specific information was an independent predictor of lower quality. CONCLUSIONS: The reliability and educational quality of current tachycardia-related videos on YouTube are low. Longer video duration, sources of academics and healthcare professionals were closely associated with higher video reliability and quality. Improving the quality of internet medical information and optimizing online patient education necessitates collaborative efforts.

A hybrid framework with large language models for rare disease phenotyping.

PURPOSE: Rare diseases pose significant challenges in diagnosis and treatment due to their low prevalence and heterogeneous clinical presentations. Unstructured clinical notes contain valuable information for identifying rare diseases, but manual curation is time-consuming and prone to subjectivity. This study aims to develop a hybrid approach combining dictionary-based natural language processing (NLP) tools with large language models (LLMs) to improve rare disease identification from unstructured clinical reports. METHODS: We propose a novel hybrid framework that integrates the Orphanet Rare Disease Ontology (ORDO) and the Unified Medical Language System (UMLS) to create a comprehensive rare disease vocabulary. SemEHR, a dictionary-based NLP tool, is employed to extract rare disease mentions from clinical notes. To refine the results and improve accuracy, we leverage various LLMs, including LLaMA3, Phi3-mini, and domain-specific models like OpenBioLLM and BioMistral. Different prompting strategies, such as zero-shot, few-shot, and knowledge-augmented generation, are explored to optimize the LLMs' performance. RESULTS: The proposed hybrid approach demonstrates superior performance compared to traditional NLP systems and standalone LLMs. LLaMA3 and Phi3-mini achieve the highest F1 scores in rare disease identification. Few-shot prompting with 1-3 examples yields the best results, while knowledge-augmented generation shows limited improvement. Notably, the approach uncovers a significant number of potential rare disease cases not documented in structured diagnostic records, highlighting its ability to identify previously unrecognized patients. CONCLUSION: The hybrid approach combining dictionary-based NLP tools with LLMs shows great promise for improving rare disease identification from unstructured clinical reports. By leveraging the strengths of both techniques, the method demonstrates superior performance and the potential to uncover hidden rare disease cases. Further research is needed to address limitations related to ontology mapping and overlapping case identification, and to integrate the approach into clinical practice for early diagnosis and improved patient outcomes.

Resveratrol ameliorates DSS-induced ulcerative colitis by acting on mouse gut microbiota.

OBJECTIVE AND DESIGN: Ulcerative colitis (UC) is a multi-faceted, recurrent immune disorder caused by dextran sulfate sodium (DSS). The intestinal microbiota has multiple functions in the host, so UC requires long-term potent medication. The effect of resveratrol (RSV) has seldom been reported, and this study researched that. Herein, the effect of RSV and Grape seed oil that anti-inflammatory ability in experimental mice was explored, also why RSV altered Gut Microbiota has been researched. MATERIALS AND METHODS: In this experiment, the effects of experimental drugs on colon length in mice with DSS-induced colitis were compared. H&E Staining was performed on serial sections of colon tissues and histological scores were determined for all groups. The expression of cyclooxygenase-2 (COX-2) and tumor necrosis factor-α (TNF-α) in the colon tissue of mice was detected by immunohistochemical staining. In the end, the α-diversity index, sobs index, and rarefaction curve of the cecal and colon microbiota of different groups of mice were measured. Bray-Curtis-based Venn diagram of PCoA (principal coordinate analysis) and OTUs distribution in mouse gut microbiota were obtained. RESULTS: The results showed that the use of 40 mg/kg RSV (high dose) significantly reduced the severity of UC. The use of 10 mg/kg RSV (low dose) significantly reduced the effect of shortened colon length in DSS mice. Compared with the DSS-treated group, the levels of COX-2 and TNF-α in the colon tissues of RSV + DSS-treated mice were significantly decreased. According to this experiment, 19 mouse gut microbiota species had a relative abundance greater than 0.1%, with Beerella, Bacteroides, Helicobacter, Oscillator, and cecum pylori being more abundant in the colon than in the colon. A higher relative abundance of Lachnospira NK4A136 was observed in DSS and RSV groups compared with the control group, whereas the opposite was observed for Alloprevotella. This proves that resveratrol increases the uniformity and diversity of gut microbes to a certain extent, and has a protective effect on the gut.

Glabridin reduces neuroinflammation by modulating inflammatory signals in LPS-induced in vitro and in vivo models.

OBJECTIVES: Chronic neuroinflammation has become one of the important causes of common neurodegeneration disease. Therefore, the target of this study was to explore the protective action of glabridin on lipopolysaccharide (LPS)-induced neuroinflammation in vivo and in vitro and its mechanism. METHODS: The neuroinflammation model was established by LPS-induced BV2 cells. The cell viability with various concentrations of glabridin was determined by MTT assay, and the content of NO in each group was detected. A neuroinflammatory model was established in male C57BL/6J mice for a water maze test. Subsequently, NF-κB and SOD indices were measured by ELISA, GFAP and IBA-1 indices were measured by immunofluorescence, and Nissl staining was used to explore the Nissl bodies in the hippocampus of mice. RESULTS: In vitro experiments, our results expressed that glabridin could markedly increase the cell activity of LPS-induced BV2 cells and reduce the NO expression in cells. It indicated that glabridin had a remarkable impact on the neuroinflammation of LPS-induced BV2 cell protection. In vivo neuroinflammation experiments, mice treated with different doses of glabridin showed significantly improved ability of memory compared with the LPS group in the Morris water maze test. The levels of NF-κB, GFAP, and the number of positive cells in Nissl staining were decreased. High-dose glabridin significantly increased the SOD content in the brain tissue and decreased the IBA-1 levels. CONCLUSION: Glabridin can significantly reduce or even reverse LPS-induced neuroinflammation, which may be related to the fact that glabridin can reduce the NO expression, NF-κB, IBA-1, GFAP, and other inflammatory mediators, upregulate the expression of SOD to relieve oxidative stress of brain and inhibit the activation of gliocyte in brain tissue.

[Development of Wireless Wearable Sleep Monitoring System Based on EEG Signal].

A wireless wearable sleep monitoring system based on EEG signals is developed. The collected EEG signals are wirelessly sent to the PC or mobile phone Bluetooth APP for real-time display. The system is small in size, low in power consumption, and light in weight. It can be worn on the patient's forehead and is comfortable. It can be applied to home sleep monitoring scenarios and has good application value. The key performance indicators of the system are compared with the industry-related medical device measurement standards, and the measurement results are better than the special standards.

[Development of a Three-Wavelength Brain Tissue Oxygen Monitoring System Based on Near Infrared Spectrum].

In the past 20 years, near infrared spectrum technology has been widely used in human body monitoring due to its non-invasive and real-time characteristics. Oxygen, as the main metabolic substance of the human body, is consumed the most in brain tissue. In order to prevent complications caused by a decrease in brain tissue oxygen during treatment, the patient's brain tissue blood oxygen saturation needs to be monitored in real time. Currently, most of the clinically used non-invasive cerebral blood oxygen detection equipments use dual wavelengths. Other substances on the detection path will cause errors in the measurement results. Therefore, this article proposes a three-wavelength method based on the basic principle of non-invasive monitoring of cerebral blood oxygen using near-infrared spectrum. The brain tissue oxygen saturation monitoring method of detecting light sources was initially verified through the built system, laying the foundation for subsequent system engineering.

Designing liquefaction and saccharification processes of highly concentrated starch slurry: Challenges and recent advances.

Starch-based sugars are an important group of starch derivatives used in food, medicine, chemistry, and other fields. The production of starch sugars involves starch liquefaction and saccharification processes. The production cost of starch sugars can be reduced by increasing the initial concentration of starch slurry. However, the usage of the highly concentrated starch slurry is characterized by challenges such as low reaction efficiency and poor product performance during the liquefaction and saccharification processes. In this study, we endeavored to provide a reference guide for improving high-concentration starch sugar production. Thus, we reviewed the effects of substrate concentration on the starch sugar production process and summarized several potential strategies. These regulation strategies, such as physical field pretreatment, complex enzyme-assisted, and temperature control, can significantly increase the starch concentration and mitigate the challenges of using highly concentrated starch slurry. We believe that highly concentrated starch sugar production will achieve a qualitative leap in the future. This review provides theoretical guidance and highlights the importance of high concentration in starch-based sugar production. Further studies are needed to explore the fine structure and enzyme attack mode during the liquefaction and saccharification processes to regulate the production of more targeted products.

Characterization of naturally occurring pentacyclic triterpenes as novel inhibitors of deubiquitinating protease USP7 with anticancer activity in vitro.

Deubiquitinating protease USP7 is a promising therapeutic target for cancer treatment, and interest in developing USP7 inhibitors has greatly increased. In the present study, we reported a series of natural pentacyclic triterpenes with USP7 inhibitory activity in vitro. Among them, both the ursane triterpenes and oleanane triterpenes were more active than the lupine triterpenes, whereas ursolic acid was the most potent with IC50 of 7.0±1.5 µmol/L. Molecular docking studies showed that ursolic acid might occupy the ubiquitin binding pocket of USP7, with the 17-carboxyl group and 3-hydroxyl group playing a vital role in the USP7-ursolic acid interaction. Using the cellular thermal shift assay, we demonstrated that ursolic acid interacted with USP7 in RPMI8226 human myeloma cells. Ursolic acid dose-dependently inhibited the proliferation of the myeloma cells with IC50 of 6.56 µmol/L, accompanied by reductions in USP7 substrates such as MDM2, UHRF1 and DNMT1. Overexpression of USP7 partially, but significantly attenuated ursolic acid-induced cell death as well as downregulation of MDM2, UHRF1 and DNMT1. In conclusion, we demonstrate for the first time that pentacyclic triterpenes represent a novel scaffold for developing USP7 inhibitors and that USP7 inhibition contributes to the anti-cancer effect of ursolic acid.

Effects of the kinetic pattern of dietary glucose release on nitrogen utilization, the portal amino acid profile, and nutrient transporter expression in intestinal enterocytes in piglets.

BACKGROUND: Promoting the synchronization of glucose and amino acid release in the digestive tract of pigs could effectively improve dietary nitrogen utilization. The rational allocation of dietary starch sources and the exploration of appropriate dietary glucose release kinetics may promote the dynamic balance of dietary glucose and amino acid supplies. However, research on the effects of diets with different glucose release kinetic profiles on amino acid absorption and portal amino acid appearance in piglets is limited. This study aimed to investigate the effects of the kinetic pattern of dietary glucose release on nitrogen utilization, the portal amino acid profile, and nutrient transporter expression in intestinal enterocytes in piglets. METHODS: Sixty-four barrows (15.00 ± 1.12 kg) were randomly allotted to 4 groups and fed diets formulated with starch from corn, corn/barley, corn/sorghum, or corn/cassava combinations (diets were coded A, B, C, or D respectively). Protein retention, the concentrations of portal amino acid and glucose, and the relative expression of amino acid and glucose transporter mRNAs were investigated. In vitro digestion was used to compare the dietary glucose release profiles. RESULTS: Four piglet diets with different glucose release kinetics were constructed by adjusting starch sources. The in vivo appearance dynamics of portal glucose were consistent with those of in vitro dietary glucose release kinetics. Total nitrogen excretion was reduced in the piglets in group B, while apparent nitrogen digestibility and nitrogen retention increased (P < 0.05). Regardless of the time (2 h or 4 h after morning feeding), the portal total free amino acids content and contents of some individual amino acids (Thr, Glu, Gly, Ala, and Ile) of the piglets in group B were significantly higher than those in groups A, C, and D (P < 0.05). Cluster analysis showed that different glucose release kinetic patterns resulted in different portal amino acid patterns in piglets, which decreased gradually with the extension of feeding time. The portal His/Phe, Pro/Glu, Leu/Val, Lys/Met, Tyr/Ile and Ala/Gly appeared higher similarity among the diet treatments. In the anterior jejunum, the glucose transporter SGLT1 was significantly positively correlated with the amino acid transporters B0AT1, EAAC1, and CAT1. CONCLUSIONS: Rational allocation of starch resources could regulate dietary glucose release kinetics. In the present study, group B (corn/barley) diet exhibited a better glucose release kinetic pattern than the other groups, which could affect the portal amino acid contents and patterns by regulating the expression of amino acid transporters in the small intestine, thereby promoting nitrogen deposition in the body, and improving the utilization efficiency of dietary nitrogen.

Combining "waste utilization" and "tissue to tissue" strategies to accelerate vascularization for bone repair.

Background: A pivotal determinant for the success of tissue regeneration lies in the establishment of sufficient vasculature. Utilizing autologous tissue grafts from donors offers the dual advantage of mitigating the risk of disease transmission and circumventing the necessity for post-transplant immunosuppression, rendering it an exemplary vascularization strategy. Among the various potential autologous donors, adipose tissue emerges as a particularly auspicious source, being both widely available and compositionally rich. Notably, adipose-derived microvascular fragments (ad-MVFs) are a promising candidate for vascularization. ad-MVFs can be isolated from adipose tissue in a short period of time and show high vascularized capacity. In this study, we extracted ad-MVFs from adipose tissue and utilized their strong angiogenic ability to accelerate bone repair by promoting vascularization. Methods: ad-MVFs were extracted from the rat epididymis using enzymatic hydrolysis. To preserve the integrity of the blood vessels, gelatin methacryloyl (GelMA) hydrogel was chosen as the carrier for ad-MVFs in three-dimensional (3D) culture. The ad-MVFs were cultured directly on the well plates for two-dimensional (2D) culture as a control. The morphology of ad-MVFs was observed under both 2D and 3D cultures, and the release levels of vascular endothelial growth factor (VEGF) and bone morphogenetic protein 2 (BMP-2) were assessed under both culture conditions. In vitro studies investigated the impact of ad-MVFs/GelMA hydrogel on the toxicity, osteoblastic activity, and mineralization of rat bone marrow mesenchymal stem cells (rBMSCs), along with the examination of osteogenic gene and protein expression. In vivo experiments involved implanting the ad-MVFs/GelMA hydrogel into critical-size skull defects in rats, and its osteogenic ability was evaluated through radiographic and histological methods. Results: ad-MVFs were successfully isolated from rat adipose tissue. When cultured under 2D conditions, ad-MVFs exhibited a gradual disintegration and loss of their original vascular morphology. Compared with 2D culture, ad-MVFs can not only maintain the original vascular morphology, but also connect into a network in hydrogel under 3D culture condition. Moreover, the release levels of VEGF and BMP-2 were significantly higher than those in 2D culture. Moreover, the ad-MVFs/GelMA hydrogel exhibited superior osteoinductive activity. After implanting into the skull defect of rats, the ad-MVFs/GelMA hydrogel showed obvious effects for angiogenesis and osteogenesis. The translational potential of this article: The utilization of autologous adipose tissue as a donor presents a more direct route toward clinical translation. Anticipated future clinical applications envision the transformation of discarded adipose tissue into a valuable resource for personalized tissue repair, thereby realizing a paradigm shift in the utilization of this abundant biological material.

Single-incision Retroperitoneal Laparoscopic Resection of Adrenal Tumors in Children.

BACKGROUND: We describe our experience with single-incision retroperitoneal laparoscopic (SIRL) for resection of adrenal tumors in pediatric patients and discuss the technique's clinical value. METHODS: We retrospectively analyzed clinical data of 27 pediatric patients who underwent SIRL between January 2020 and September 2023. Patients with tumors >5 cm in size and those requiring vascular skeletonization surgery or extensive lymph node dissection were excluded. Demographic, perioperative, and prognostic data were collected, and computed tomography (CT) and magnetic resonance imaging were used for preoperative tumor assessment. RESULTS: Of 27 patients, 16 were male and 11 were female; mean age 54 ± 45 months and mean body mass index 17.2 ± 3.6 kg/m2. Mean tumor length, width, and height were 4.1 ± 1.8 cm, 3.3 ± 2.1 cm, and 2.9 ± 1.7 cm, respectively. One patient experienced a diaphragmatic tear, three patients incurred peritoneal damage, and one patient developed postoperative renal artery injury, leading to thrombosis and renal atrophy. No surgery was converted to open surgery, and no intraoperative or postoperative blood transfusions were required. Operative time, blood loss, and postoperative dietary recovery time were satisfactory. No local recurrence or distant metastases were detected during the 6-48 months of follow-up involving outpatient and telephone assessments. CONCLUSIONS: Application of SIRL in pediatric patients with adrenal tumors achieved favorable clinical outcomes with an effective, minimally invasive surgical option for treating children with adrenal tumors. This technique demands a high level of surgical expertise, specialized instruments and experienced surgeons. Our findings indicate that SIRL is safe and provides significant postoperative benefits in pediatric patients. LEVEL OF EVIDENCE: Level IV.

Pullulanase pretreatment of highly concentrated maltodextrin solution improves maltose yield during ß-amylase-catalyzed saccharification.

Increasing the substrate concentration can effectively reduce energy consumption and result in more economic benefits in the industrial production of maltose, but this process remarkably increases the viscosity, which has a negative effect on saccharification. To improve saccharification efficiency, pullulanase is usually employed. In the conventional process of maltose production, pullulanase is added at the same time with ß-amylase or later, but this process seems inefficient when the substrate concentration is high. Herein, a novel method was introduced to enhance the maltose yield under high substrate concentration. The results indicated that the pullulanase pretreatment of highly concentrated maltodextrin solution for 2 h greatly affects the final conversion rate of ß-amylase-catalyzed saccharification. The maltose yield reached 80.95 %, which is 11.8 % above the control value. Further examination confirmed that pullulanase pretreatment decreased the number of branch points of maltodextrin and resulted in a high content of oligosaccharides. These linear chains were suitable for ß-amylase-catalyzed saccharification to produce maltose. This research offers a new effective and green strategy for starch sugar production.

Geographical distribution and potential distribution prediction of thirteen species of Citrus L. in China.

Using DIVA-GIS software to study the spatial accumulation of Citrus species, an important economic crop in China. Draw the distribution maps of Citrus to concerning altitude and vegetation, and use DIVA-GIS' Bioclim ecological model and maximum information entropy model Maxent software to estimate the potential distribution areas of various Citrus species. The results show that the Citrus genus is located in the south of Qinling Mountains, mainly in the southwest of China and the coast of southeastern China. Sichuan and Chongqing are the most densely distributed regions of Citrus. The distribution of Citrus is closely related to the vegetation type and altitude. The vegetation types in the distribution area is evergreen broad-leaved forest, evergreen shrub, deciduous broad-leaved forest, mixed-leaf forest coverage area, deciduous coniferous forest, farmland, trees, other vegetation coverage, and evergreen coniferous forest. The current potential distribution area of Citrus is mainly in Guizhou, Hubei, Hunan, Guangdong, Guangxi, Yunnan, Sichuan, Chongqing, and other provinces and municipalities and their borders, while the potential distribution area in the future moves northward and enter Henan and southern Gansu. At the same time, climate warming changes the distribution of suitable areas of Citrus, which makes the suitable areas of C. sinensis Osbeck, C. reticulata Blanco, and other crops greatly increased. Planning the planting area will effectively improve the yield and quality in the future. Planning presents new challenges.

Nutlin-3 suppresses tumorigenesis and progression of oral squamous cell carcinoma and enhances chemosensitivity to cisplatin.

Oral squamous cell carcinoma (OSCC) is an epithelial malignant tumor with great challenges of tumor metastasis and drug resistance. Nutlin-3 is a MDM2 inhibitor that can potently activate tumor suppressor gene p53. However, the exact role of Nutlin-3 in OSCC has not been identified yet. SCC-9 cells were treated with 0, 2.5, 5, 10, 20 µM Nutlin3. MDM2 and p53 protein levels were assessed using western blot analysis. Then, CCK8 assay, clone formation assay, TUNEL staining, wound healing and transwell assays were conducted to analyze the influences of Nutlin3 on the proliferation, apoptosis, migration, and invasion in SCC-9 cells. Moreover, SCC-9 cells were co-treated with 0, 0.5, 1, 2.5, 5 µM cisplatin and Nutlin3 to determine the effect of Nutlin3 on cisplatin chemosensitivity in OSCC. As expected, Nutlin-3 inhibited MDM2 but restored p53 in OSCC in a concentration-dependent manner. Meanwhile, Nutlin-3 suppressed the proliferation, clone formation, migration, invasion and epithelial-mesenchymal transition of SCC-9 cells and both boosted the apoptosis. In addition, Nutlin-3 caused a reduced cell viability and an elevated cell apoptosis rate in cisplatin-treated SCC-9 cells, indicating that Nutlin-3 enhanced cisplatin chemosensitivity in OSCC cells. Taken together, Nutlin-3 may suppress tumorigenesis and progression of OSCC and enhance chemosensitivity to cisplatin in OSCC.

Advancements in materials, manufacturing, propulsion and localization: propelling soft robotics for medical applications.

Soft robotics is an emerging field showing immense potential for biomedical applications. This review summarizes recent advancements in soft robotics for in vitro and in vivo medical contexts. Their inherent flexibility, adaptability, and biocompatibility enable diverse capabilities from surgical assistance to minimally invasive diagnosis and therapy. Intelligent stimuli-responsive materials and bioinspired designs are enhancing functionality while improving biocompatibility. Additive manufacturing techniques facilitate rapid prototyping and customization. Untethered chemical, biological, and wireless propulsion methods are overcoming previous constraints to access new sites. Meanwhile, advances in tracking modalities like computed tomography, fluorescence and ultrasound imaging enable precision localization and control enable in vivo applications. While still maturing, soft robotics promises more intelligent, less invasive technologies to improve patient care. Continuing research into biocompatibility, power supplies, biomimetics, and seamless localization will help translate soft robots into widespread clinical practice.

Geographical distribution and predict potential distribution of Angelica L. genus.

Climate change is very important for the distribution of plant resources, especially for crops. Angelica plants have a long history of use and significant crop resources in China, whose rhizomes are extensively used in medicine and food. In this paper, 1599 georeferenced herbarium records were analyzed using DIVA-GIS, and the ecological distribution and richness of the current and future distribution simulation were analyzed using the MaxEnt model. The results show that they are from 32 provinces in China. Among these provinces, Sichuan, Gansu, and Yunnan have the largest number of herbariums. According to the MaxEnt model simulation, it is found that the precipitation in the warmest season, annual precipitation, and the driest monthly precipitation are the foremost bioclimatic variables that control the distribution of eight selected Angelica plants (A. biserrata, A. gigas, A. laxifoliata, A. likiangensis, A. longicaudata, A. omeiensis, A. polymorpha, and A. valida). It can be seen from the potential distribution map that the suitable growth areas of A. polymorpha and A. valida have increased, while the suitable growth areas of the six species of Angelica have decreased in varying degrees, 18.24%, 20.01%, 9.91%, 53.16%, 10.06%, and 12.64% respectively. Therefore, it is necessary to protect the Angelica plants.

Transformation of arginine into zero-dimensional nanomaterial endows the material with antibacterial and osteoinductive activity.

Implant-associated infection is a major threat affecting the success of orthopedic surgeries. Although various materials scavenge bacteria by generating reactive oxygen species (ROS), the intrinsic inability of ROS to distinguish bacteria from cells notably limits the therapeutic effects. Here, we found that the arginine carbon dots (Arg-CDs) that were transformed from arginine exhibited supreme antibacterial and osteoinductive activity. We further designed the Schiff base bond between Arg-CDs and aldehyde hyaluronic acid/gelatin methacryloyl (HG) hydrogel to release Arg-CDs in response to the acidic bone injury microenvironment. The free Arg-CDs could selectively kill bacteria by generating excessive ROS. Furthermore, the Arg-CD-loaded HG composite hydrogel showed excellent osteoinductive activity through inducing the M2 polarization of macrophages by up-regulating interleukin-10 (Il10) expression. Together, our findings revealed that transformation of the arginine into zero-dimensional Arg-CDs could endow the material with exceptional antibacterial and osteoinductive activity, favoring the regeneration of infectious bone.

Can we share models if sharing data is not an option?

In the big data era, vast volumes of data are generated daily as the foundation of data-driven scientific discovery. Thanks to the recent open data movement, much of these data are being made available to the public, significantly advancing scientific research and accelerating socio-technical development. However, not all data are suitable for opening or sharing because of concerns over privacy, ownership, trust, and incentive. Therefore, data sharing remains a challenge for specific data types and holders, making a bottleneck for further unleashing the potential of these "closed data." To address this challenge, in this perspective, we conceptualize the current practices and technologies in data collaboration in a data-sharing-free manner and propose a concept of the model-sharing strategy for using closed data without sharing them. Supported by emerging advances in artificial intelligence, this strategy will unleash the large potential in closed data. Moreover, we show the advantages of the model-sharing strategy and explain how it will lead to a new paradigm of big data governance and collaboration.

Effect of body mass index on postoperative mechanical alignment and long-term outcomes after total knee arthroplasty: a retrospective cohort study of 671 knees.

Background: A high body mass index (BMI) is associated with increased rates of complications after total knee arthroplasty (TKA). However, no study has examined the effect of BMI on lower limb alignment using the World Health Organization's (WHO) BMI classification. We believe that the WHO's BMI classification allows a uniform standard worldwide. We sought to investigate the potential association between a high BMI and the incidence of postoperative misalignment. We also evaluated whether a higher BMI is associated with worse clinical function. Methods: We retrospectively reviewed the data of 671 patients who underwent primary TKA for varus osteoarthritis between January 2010 and December 2015. The patients were divided into the following 5 groups based on their BMI: normal weight (<25.0 kg/m2), overweight (25.0-29.9 kg/m2), class I obese (30.0-34.9 kg/m2), class II obese (35-39.9 kg/m2), and class III obese (>40 kg/m2). Both weight and height were measured by nurses on admission. Patients' preoperative HKA, gender, age, and side of surgery were collected as baseline. All the patients underwent standing, weight-bearing, full-length radiography before and after surgery to measure the mechanical hip-knee-ankle angle (HKA). We followed up patients by telephone. Among the BMI subgroups, we compared the knee function scores, including the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, Knee Society-Knee Score (KS-KS), Knee Society-Function Score (KS-FS), Forgotten Joint Score (FJS), and range of motion (ROM). A multivariate linear regression analysis and a logistic regression was conducted to examine the outcomes. Results: The study had a mean follow-up period of 8.16 years. The multivariate and logistic regression analyses revealed that preoperative alignment (P=0.002) and a higher BMI (P=0.015) were associated with a higher risk of postoperative misalignment. The WOMAC scores were higher in the normal and overweight groups than the other groups (P=0.022). The FJS and KS-KS gradually decreased as BMI increased. Conclusions: A higher BMI is associated with a greater risk of misalignment and worse long-term clinical outcome after TKA. When treating patients with high BMI, we should pay more attention to the adjustment of lower limb alignment intraoperatively.