BACKGROUND:With the continuous progress of science and technology,the introduction of new technologies and methods will bring more possibilities and new breakthroughs for the application of shape memory alloys in the fields of assistive and rehabilitation. OBJECTIVE:To review the application status of shape memory alloys in assistive and rehabilitation equipment,discuss their main methods,techniques and results,summarize and put forward suggestions,hoping that shape memory alloys can be continuously optimized and bring more new changes for the development of assistive and rehabilitation equipment. METHODS:WanFang,PubMed,and Web of Science databases were searched by computer."Shape memory alloys,application progress,orthodontics,orthopedic,prosthesis,rehabilitation,properties,implantation,mechanical properties,nickel-titanium memory alloys,actuation"were used as Chinese search terms."Shape memory alloys,application,orthodontics,orthopedic,prosthetics,rehabilitation,properties,implant,drive,progress,prostheses"were used as English search terms.Finally,91 articles were included for review. RESULTS AND CONCLUSION:(1)Shape memory alloy has the characteristics of corrosion resistance,wear resistance,biocompatibility,fatigue resistance,kink resistance and other properties.Compared with other traditional materials(stainless steel,titanium alloy,cobalt-chromium alloy,etc.),shape memory alloy has lower elastic modulus and no biological toxicity,which is suitable for long-term implantation as an implant prosthesis.Due to its shape memory effect and excellent mechanical properties,it is mainly used as a driving element or as a bridge connecting the device and the human body in artificial limbs,orthoses and rehabilitation equipment.(2)The use of shape memory alloy drive elements can reduce the weight of the device,eliminate noise,easy to operate,easy to carry,better assist joint movement;compared with the use of pneumatic,hydraulic,and electrical drive methods of the device,it has obvious advantages.(3)In addition,shape memory alloy can produce permanent and stable stress during deformation.Compared with stainless steel,titanium alloy and aluminum alloy,shape memory alloy has a higher material recovery rate and does not need to be replaced and adjusted frequently,so it is more practical in the correction of deformity.(4)At present,shape memory alloy is most commonly used in orthosis,and the best clinical application effect is in stapes prosthesis.However,due to the limitations of technology and cost,shape memory alloys are rarely used in artificial limbs and rehabilitation equipment,and there is a lack of large sample size studies on the application effect.(5)Although shape memory alloys have been developed in the field of auxiliary and rehabilitation,there are still many problems:it is difficult to accurately control the shape memory alloys;the cooling speed of shape memory alloy is slow;the deformation speed of shape memory alloy cannot be controlled;there is a lack of comparative research and expert consensus on shape memory alloys with different properties;shape memory alloys are costly and expensive.(6)In the future,attention should be paid to the development of new shape memory alloys,increase comparative research,and use new technologies and methods(such as 4D printing)to solve the existing problems,so as to develop high-performance assistive devices and rehabilitation equipment.

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

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OBJECTIVE: To explore the prognostic value of early multiple detection indicators in combination with sequential organ failure assessment (SOFA) in sepsis patients. METHODS: A retrospective analysis was conducted. Patients with sepsis admitted to the department of critical care medicine of Huanggang Central Hospital of Yangtze University from May 2020 to May 2022 were selected as the research subjects. Coagulation indicators, inflammatory factors, blood routine, liver and kidney function, and blood gas analysis were collected at admission. Organ dysfunction was assessed based on the SOFA score within 24 hours after admission. Patients were divided into a survival group and a death group according to the outcome of 28 days in ICU. Differences in the above indicators between the two groups were compared. Multifactorial Logistic regression analysis was used to analyze prognostic factors of 28-day mortality in sepsis patients. Receiver operator characteristic curve (ROC curve) was drawn to analyze the predictive performance of various indicators, the SOFA score, and the combine model for the 28-day outcome in patients with sepsis. RESULTS: A total of 101 patients with sepsis were enrolled, 56 patients survived and 45 patients died. Compared to the survival group, patients in the death group were older, the proportion of patients with septic shock was larger, the SOFA score, and the proportion of pulmonary infection were higher, the prothrombin time (PT) and activated partial thromboplastin time (APTT) were significantly prolonged, the prothrombin activity (PTA) was significantly shortened, and antithrombin (AT) was significantly decreased, the levels of hypersensitivity C-reactive protein (hs-CRP), blood urea nitrogen (BUN), total bilirubin (TBil), and lactic acid (Lac) were significantly increased, while the platelet count (PLT) was significantly decreased. Multifactorial Logistic regression analysis showed that pulmonary infection [odds ratio (OR) = 0.010, 95% confidence interval (95%CI) was 0.001-0.164, P = 0.001], AT (OR = 0.944, 95%CI was 0.910-0.978, P = 0.002), hs-CRP (OR = 1.008, 95%CI was 1.001-1.015, P = 0.017), Lac (OR = 1.619, 95%CI was 1.195-2.193, P = 0.002), and SOFA score (OR = 1.363, 95%CI was 1.076-1.727, P = 0.010) were independent prognostic factors for 28-day mortality in patients. A combined model was constructed using pulmonary infection, AT, hs-CRP, Lac, and SOFA score. ROC curve analysis showed that the area under the ROC curve (AUC) for the combine model in predicting sepsis prognosis was 0.936 (95%CI was 0.869-0.975, P < 0.001), which was higher in value compared to single indicators (AUC of AT, hs-CRP, Lac, and SOFA score were 0.775, 0.666, 0.802, 0.796, respectively, all P < 0.05). CONCLUSIONS The predictive ability of the SOFA score for sepsis patient outcomes is limited. The combine model combining infection site, AT, hs-CRP, and Lac shows better predictive ability.
Humans ; Organ Dysfunction Scores ; Retrospective Studies ; C-Reactive Protein ; ROC Curve ; Sepsis/metabolism* ; Prognosis ; Anticoagulants ; Antithrombin III ; Intensive Care Units

Objective:To explore the risk factors of acute kidney injury(AKI)after liver transplantation(LT), examine its prognostic impact and construct a clinical prediction model.Methods:Clinical data are retrospectively reviewed for 220 LT recipients.They are divided into two groups of AKI(93 cases)and non-AKI(127 cases)according to the occurrence of AKI post-LT.Clinical data of two groups are compared.The variables with statistically significant inter-group differences in univariate analysis are included for multivariate analysis for obtaining the independent risk factors for AKI post-LT.Then the independent risk factors are employed for fitting a prediction model and a visual nomogram is constructed.At the same time, discrimination and calibration of the prediction model are evaluated.Extubation time, length of intensive care unit(ICU)stay, continuous renal replacement therapy(CRRT)rate, length of hospital stay, in-hospital mortality, estimated glomerular filtration rate(eGFR)at discharge, incidence of chronic renal failure(CRF)and readmission times are compared between two groups.Survival analysis is also performed between AKI and non-AKI groups and AKI 0/1 and AKI 2/3 stages.Results:The incidence of AKI post-LT is 42.3%.Age( OR=1.036, 95% CI: 1.001~1.073), preoperative serum creatinine level( OR=1.030, 95% CI: 1.011~1.049), platelet count( OR=0.992, 95% CI: 0.985~0.999), Child-Pugh class C( OR=2.678, 95% CI: 1.031~6.952), postoperative abdominal infection( OR=2.271, 95% CI: 1.120~4.603)and abdominal hemorrhage( OR=3.869, 95% CI: 1.016~14.72)are independent risk factors for AKI post-LT.The AUC/C-index of nomogram prediction model is 0.789 with a Brier score of 0.183, showing decent discrimination and calibration.According to the nomogram score, the recipients with a risk of AKI>50% are included into high-risk group while those with a risk of AKI<50% into low-risk group.Postoperative survival of low-risk group is better than that of high-risk group( P<0.001).Compared with non-AKI group, AKI group had a later extubation time( P=0.003), a longer length of ICU stay( P<0.001)and hospital stay( P=0.001), a higher rate of CRRT usage( P<0.001)and in-hospital mortality( P<0.001), a lower eGFR at discharge( P<0.001)and a higher incidence of CRF( P<0.001).Postoperative survival of non-AKI group was better than that of AKI group( P=0.048).Postoperative survival of patients with AKI 0/1 is better than that of those with AKI 2/3( P=0.002). Conclusions:Advanced age, high preoperative serum creatinine, low preoperative platelet, poor preoperative liver function, postoperative abdominal infection and abdominal hemorrhage may elevate the risks of AKI post-LT.And the nomogram prediction model based upon the above risk factors has a high value of clinical application.

Objective To investigate the average glandular dose of digital mammography in Zigong, China, and to explore the methods of reducing average glandular dose. Methods A total of 260 patients who underwent digital mammography at six hospitals located in Zigong during the year 2022 were included in this study. Their personal information, photography position, breast compression thickness, exposure parameters, and average glandular dose were collected. Analysis of variance and correlation analysis were performed for data analysis. Results Among the 260 patients who underwent digital mammography, the average breast compression thickness was 46.3 mm and the average glandular dose was 1.70 mGy. There was a significant difference in average glandular dose between patients with different breast compression thickness(P <0.05), and average glandular dose was positively correlated with breast compression thickness. There were no significant differences in average glandular dose between patients with different photography positions and patients with different ages (P>0.05). Conclusion The average glandular dose of patients undergoing digital mammography is at an acceptable level in Zigong. The average glandular dose is impacted by the breast compression thickness, target/filter, and exposure parameters. These factors should be optimized to reduce glandular dose during digital mammography.

OBJECTIVE: Pseudostellaria heterophylla has been paid more attention in recent years, mainly as a medicine food homology plant. The content determination of P. heterophylla is not specified in the Chinese Pharmacopoeia (version 2020). The environmental conditions in different production areas could exert an influence on the quality of P. heterophylla. The purpose of this study is to discriminate P. heterophylla collected from different geographical origins of China. METHODS: In this study, the content of polysaccharide in 28 batches of P. heterophylla was determined using phenol-sulfuric acid. HPLC fingerprints were established under optimised HPLC-PDA methods. Subsequently, the similarity analysis (SA) and the quantification of heterophyllin B were analyzed. The metabolites of P. heterophylla were identified and evaluated using UHPLC-Q Exactive HF orbitrap MS system. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and orthogonal PLS-DA (OPLS-DA) were performed based on all peak areas. RESULTS: The polysaccharide content in Guizhou and Jiangsu was higher than that of other production areas, which varied significant from different origins. While the content of heterophyllin B in Anhui and Jiangsu was high. The correlation coefficients of HPLC fingerprints for 28 batches samples ranged from 0.877 to 0.990, and the characteristic map can be used to identify and evaluate the quality of P. heterophylla. The samples from Fujian, Guizhou, Jiangsu provinces can be relatively separated using multivariate statistical analysis including PCA, PLS-DA, HCA, OPLS-DA, indicating that their metabolic compositions were significantly different. Ultimately, a total of 15 metabolites which were filtrated by a VIP-value > 1 and a P-value < 0.05 associated with the separation of different origins were identified. CONCLUSION HPLC fingerprint was established to evaluate the quality and authenticity of P. heterophylla. The present work showed that the difference of geographic distributions had an influence on the internal chemical compositions. A sensitive and rapid untargeted metabolomics approach by UHPLC-Q Exactive HF orbitrap MS was utilized to evaluate P. heterophylla from different origins in China for the first time. Overall, this study provides insights to metabolomics of P. heterophylla and supplies important reference values for the development of functional foods.

Carrier-free multi-component self-assembled nano-systems have attracted widespread attention owing to their easy preparation, high drug-loading efficiency, and excellent therapeutic efficacy. Herein, MnAs-ICG nanospike was generated by self-assembly of indocyanine green (ICG), manganese ions (Mn²⁺), and arsenate (AsO₄ ^3-) based on electrostatic and coordination interactions, effectively integrating the bimodal imaging ability of magnetic resonance imaging (MRI) and fluorescence (FL) imaging-guided synergistic therapy of photothermal/chemo/chemodynamic therapy within an "all-in-one" theranostic nano-platform. The as-prepared MnAs-ICG nanospike had a uniform size, well-defined nanospike morphology, and impressive loading capacities. The MnAs-ICG nanospike exhibited sensitive responsiveness to the acidic tumor microenvironment with morphological transformation and dimensional variability, enabling deep penetration into tumor tissue and on-demand release of functional therapeutic components. In vitro and in vivo results revealed that MnAs-ICG nanospike showed synergistic tumor-killing effect, prolonged blood circulation and increased tumor accumulation compared to their individual components, effectively resulting in synergistic therapy of photothermal/chemo/chemodynamic therapy with excellent anti-tumor effect. Taken together, this new strategy might hold great promise for rationally engineering multifunctional theranostic nano-platforms for breast cancer treatment.

Natural products, and especially the active ingredients found in traditional Chinese medicine (TCM), have a thousand-year-long history of clinical use and a strong theoretical basis in TCM. As such, traditional remedies provide shortcuts for the development of original new drugs in China, and increasing numbers of natural products are showing great therapeutic potential in various diseases. This paper reviews the molecular mechanisms of action of natural products from different sources used in the treatment of inflammatory diseases and cancer, introduces the methods and newly emerging technologies used to identify and validate the targets of natural active ingredients, enumerates the expansive list of TCM used to treat inflammatory diseases and cancer, and summarizes the patterns of action of emerging technologies such as single-cell multiomics, network pharmacology, and artificial intelligence in the pharmacological studies of natural products to provide insights for the development of innovative natural product-based drugs. Our hope is that we can make use of advances in target identification and single-cell multiomics to obtain a deeper understanding of actions of mechanisms of natural products that will allow innovation and revitalization of TCM and its swift industrialization and internationalization.