Non-invasive body fluids contain a wealth of health-related biomarkers.Monitoring these biomarkers can provide valuable information for disease diagnosis,health management,drug abuse screening,and sports performance optimization.In this work,a carbon nanotube-polysiloxane(CNT-Putty)-based wearable electrochemical sensor was constructed on glove by screen-printing method.This electrode material had not only a simple composition,but also a relatively simple synthesis process.In addition,the electrode exhibited superior electrochemical performance compared to commercial screen-printed electrodes.When applied to uric acid(UA)detection in three different body fluids,the CNT-Putty working electrode demonstrated excellent linearity,selectivity,and a low detection limit.The wearable glove sensor could successfully monitor UA levels in body fluids under varying dietary conditions,indicating its potential for personalized UA monitoring and management.

Objective To evaluate the value of imaging quantification parameters in artificial intelligence (AI) assisted diagnosis systems in clinical decision-making for lung nodules≤2 cm and the diagnostic efficacy of AI. Methods Lung nodule patients admitted to Affiliated Zhongshan Hospital of Dalian University from 2020 to 2023 were included. Imaging parameters of lung nodules were extracted using AI assisted diagnosis systems. Multifactor analysis was used to screen predictors for distinguishing benign and malignant nodules and high-risk predictors for recurrent invasive adenocarcinoma, and a diagnostic model was established and its performance evaluated. The diagnostic efficacy of the AI system was judged according to pathological results. Results A total of 594 patients with lung nodules were included, including 202 males and 392 females, with an average age of (58.75±11.55) years. Volume, average CT value, and 3D maximum diameter of non-solid nodules were independent predictors of malignant nodules, with thresholds of 287.4 mm3, −491 HU, and 12.0 mm, respectively. The area under the curve (AUC) for diagnostic efficacy was ranked from high to low as combined model (0.802), volume (0.783), average CT value (0.749), and 3D maximum diameter (0.714). The average CT value and 3D long diameter of solid nodules were independent predictors of malignant nodules, with thresholds of −81 HU and 17.5 mm, respectively, and AUC values of 0.874 and 0.686, respectively, with the combined prediction AUC of 0.957. The mass of cystic nodules was an independent predictor of malignancy when the mass>180.7 mg. Independent predictors of high recurrence risk of invasive adenocarcinoma in non-solid nodules were consolidation-tumor ratio (CTR), average CT value, 3D long diameter, and volume, with thresholds of 0.14, −386 HU, 15.6 mm, and 1018.9 mm3, respectively, and diagnostic efficacy was ranked from high to low as combined model (0.788), 3D long diameter (0.735), volume (0.725), average CT value (0.720), and CTR (0.697). The accuracy of AI in predicting benign and malignant target nodules was 87.4%, with positive predictive value of 96.6% and negative predictive value of 58.9%. Conclusion In clinical decision-making for lung nodules ≤2 cm, AI assisted diagnosis systems have high application value.

Objective To study a method for determining the cumulative dose of low-energy neutrons ( < 100 keV) independently based on a CR-39 detector. Methods According to the theory of track etching kinetics, the differences in the tracks formed by low-energy neutrons or fast neutrons in a BN + CR-39 detector under broad-spectrum neutron irradiation were analyzed. A method was proposed to identify the tracks produced by low-energy neutrons under specific etching conditions while avoiding interference from fast neutron tracks. Results Experimental results demonstrated that the BN + CR-39 detector using TASTRAK PADC CR-39 track-detecting plastic could independently detect the tracks of low-energy neutrons when etched in a 6.25 mol/L NaOH solution for 1 h. The track density showed a good linear relationship with the ambient dose equivalent of low-energy neutrons, and the calibration coefficient was 0.0366 μSv·tr⁻¹·cm². Conclusion The BN + CR-39 detector proposed in this study demonstrated high sensitivity to low-energy neutrons. The track identification method can be used for effective and independent determination of the cumulative dose equivalent of low-energy neutrons.

Shengjiangsan is a classic formula for treating warm diseases with wide clinical application and accurate efficacy. There are different opinions on the origin of this formula and lacks key information research on this formula. Therefore， in this study， we conducted systematic research into the historic origin， composition， and other key information of this Shengjiangsan. Results showed that Shengjiangsan has different versions， with "Neixian Fufang"， "Jiawei Jianghuangwan"， "Peizhensan"， and "Taijiwan" being the same formula with different names. Shengjiangsan was first recorded as "Neixian Fufang" in Wanbing Huichun written by GONG Tingxian from the Ming dynasty， inherited and developed by YANG Lishan from Qing dynasty， and has been passed down to modern times. Pills and powder are two main forms of Shengjiangsan， and powder has become more popular nowadays. According to the measurement system of Ming and Qing dynasties， the recommended dosage and usage of Shengjiangsan are as follows. For the pill version of Shengjiangsan， Bombyx Batryticatus of 74.6 g， Curcumae Longae Rhizoma of 9.325 g， Cicadae Periostracum of 9.325 g， and Rhei Radix et Rhizoma of 149.2 g were processed into pills for preparation. Single dosage is Bombyx Batryticatus of 1.15 g， Curcumae Longae Rhizoma of 0.14 g， Cicadae Periostracum of 0.14 g， and Rhei Radix et Rhizoma of 2.3 g， with halved dosage applied for children. For the powder version of Shengjiangsan， the dosage varied in accordance with the severity of the disease. Bombyx Batryticatus of 1.84 g， Curcumae Longae Rhizoma of 0.28 g， Cicadae Periostracum of 0.92 g， and Rhei Radix et Rhizoma of 3.68 g were processed into powder for patients with mild symptoms. Bombyx Batryticatus of 2.48 g， Curcumae Longae Rhizoma of 0.37 g， Cicadae Periostracum of 1.23 g， and Rhei Radix et Rhizoma of 4.91 g were processed into powder for patients with severe symptoms. Bombyx Batryticatus of 3.68 g， Curcumae Longae Rhizoma of 1.84 g， Cicadae Periostracum of 0.55 g， and Rhei Radix et Rhizoma of 7.36 g were processed into powder for patients with critical conditions. In this formula， four herbs were ground to fine powder. For patients with mild symptoms， the whole formula was divided into four dosages， and each dosage weighed 6.71 g. The 200 mL yellow rice wine and 18.65 g honey were added， and the solution was stirred and taken cold till full recovery. For patients with severe symptoms， the whole formula was divided into three dosages， and each weighed 8.95 g. 300 mL yellow rice wine and 27.98 g honey were added， and the solution was stirred and taken cold. For patients with critical conditions， the whole formula was divided into two dosages， and each weighed 13.43 g. 400 mL yellow rice wine and 37.3 g honey were added， and the solution was stirred and taken cold. Shengjiangsan has the effect of ascending lucidity and descending turbidity， dissipating wind， and clearing heat. It is specialized in treating severe heat in exterior， interior， and triple energizers in warm diseases and has a wide modern clinical application. In this study， the historic evolution and key information of Shengjiangsan were reviewed and analyzed， and the key information table of Shengjiangsan was attached， serving as a reference for scholars' research and a theoretical basis for its market transformation.

This article reviews the research advances in the characteristics and application progress of various new models for preclinical cancer research on pancreatic cancer， analyzes and discusses the history， current research status， and advantages and disadvantages of new models of pancreatic cancer， including patient-derived tissue xenograft， conditional reprogramming， and patient derived organoids， and it also reviews the studies that have achieved clinical transformation from preclinical models and proposes possible research prospects in the future.

OBJECTIVE: To explore the current research status and hotspots in the field of biomechanics of diabetic foot by bibliometric analysis methods. METHODS: Literatures related to biomechanics of diabetic foot published in the Web of Scienc Core Collection (WoSCC) from 1981 to 2024 were searched. CiteSpace software and R language bibliometrics plugin were used to conduct a visual analysis of annual publication volume of the literature, including publication volume of each country and region, the publication situation of authors and institutions, the citation situation of individual literature, and the co-occurrence network of keywords. RESULTS: Totally 996 literatures were included, and the number of published papers increased steadily. The United States (261 papers) and China (89 papers) were the top two countries in terms of the number of published papers. The mediating centrality of the United States was 0.94, and that of China was 0.01. Scholars such as Cavanagh and institutions like the Cleveland Clinic were at the core of research in this field. High-frequency keywords include plantar pressure (plantar pressure), diabetic foot (diabetic foot), ulceration (ulcer), etc. The research focuses on plantar pressure, ulcer formation and prevention, etc. CONCLUSION Biomechanical research on diabetic foot mainly focuses on the pressure distribution on the sole of the foot, callus formation, mechanical analysis of soft tissues on the sole of the foot, and the study of plantar decompression caused by Achilles tendon elongation. The research trend has gradually shifted from focusing on joint range of motion to gait and the design of braces and assistive devices, and has begun to pay attention to muscle strength, gait imbalance and proprioception abnormalities.
Humans ; Diabetic Foot/physiopathology* ; Biomechanical Phenomena ; Bibliometrics

Triple-negative breast cancer (TNBC) is aggressive, with high recurrence rates and poor prognosis. Paclitaxel (PTX) remains a key chemotherapeutic agent for TNBC, but its efficacy diminishes due to the emergence of drug resistance, largely driven by cancer stem-like cells (CSCs), vasculogenic mimicry (VM) formation and tumor immunosuppressive microenvironment (TIME). Pyruvate kinase M2 (PKM2) is highly expressed in TNBC, and is a potential target for TNBC treatment. In this study, we developed a biomimetic codelivery system using albumin nanoparticles (termed S/P NP) to co-encapsulate PTX and shikonin (SHK), a natural inhibitor of PKM2. By inhibiting PKM2, SHK suppressed β-Catenin signaling, thereby reversing CSC stemness and preventing VM formation. The S/P NP system exhibited tumor-targeting delivery effect and significantly inhibited TNBC growth and lung metastasis. Mechanistically, the treatment reversed epithelial-mesenchymal transition (EMT) and stem-like properties of TNBC cells, suppressed VM formation, and remodeled the TIME. It reduced immunosuppressive cells (M2 macrophages, MDSCs) while promoting anti-tumor immunity (M1 macrophages, dendritic cells, cytotoxic T cells, and memory T cells). This dual-action strategy holds promise for improving TNBC therapy by targeting CSCs, VM, and the immune microenvironment, and for overcoming PTX resistance and reducing metastasis.

Objective:To investigate the risk factors for patients with hypertriglyceridemia-related acute pancreatitis (HTG-AP) developing into severe acute pancreatitis or experiencing organ failure.Methods:This retrospective cohort study collected clinical data from 2 429 patients diagnosed with acute pancreatitis from five hospitals in China between January 2019 and December 2023 using a pre-designed data collection form. The cohort included 1 516 males and 913 females,with an age of (50.2±16.5)years(range: 11 to 99 years). Among them,353 patients (16.1%) had HTG-AP,while 1 846 (83.9%) had non-HTG-AP. HTG-AP was defined as serum triglyceride levels>500 mg/dl with other etiologies excluded. Intergroup comparisons were performed using t-tests,Mann-Whitney U test or χ2 tests,respectively. Univariate and multivariate logistic regression analyses were conducted to assess risk factors for severe acute pancreatitis after adjusting for potential confounders,and a predictive model was developed and validated. Results:Compared with other etiologies,HTG-AP patients had a higher risk of progressing to SAP ( OR=1.415,95% CI: 0.866 to 2.312, P=0.017) and organ failure ( OR=1.256,95% CI: 1.015 to 1.554, P=0.036). Among HTG-AP patients,risk factors for SAP included body mass index ( OR=1.856,95% CI: 1.742 to 1.987, P=0.033),fasting blood glucose ( OR=1.128,95% CI: 1.036 to 1.229, P=0.006),white blood cell count( OR=1.162,95% CI: 1.055 to 1.281, P=0.002),and the presence of pleural effusion ( OR=13.151,95% CI: 4.330 to 19.946, P<0.01). A nomogram prediction model for SAP in HTG-AP was constructed based on these risk factors,demonstrating good discriminative ability with area under the curve values of 0.877 in the training set and 0.894 in the validation set,along with satisfactory calibration. Conclusions:HTG-AP patients are at higher risk of developing SAP and organ failure. The risk prediction model incorporating body mass index,fasting blood glucose,white blood cell count,and pleural effusion shows good predictive value for SAP.

Objective:To investigate the clinical characteristics and prognosis of acute pancreatitis (AP) with different etiologies.Methods:The retrospective cohort study was conducted. The clinical data of 702 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from January 2018 to December 2022 were collected. There were 451 males and 251 females,aged (52±17)years. Observation indicators: (1) clinical characteristics of AP patients with different etiologies; (2) complications and prognosis of AP patients with different etiologies; (3) complications and prognosis of moderately severe and severe AP patients with different etiologies. Comparison of measurement data with normal distribution among multiple groups was conducted using the one-way analysis of variance. Comparison of measurement data with skewed distribution among multiple groups was conducted using the Kruskal-Wallis H test. Comparison of count data among multiple groups was conducted using the chi-square test. Results:(1) Clinical characteris-tics of AP patients with different etiologies. Of the 702 AP patients, 434 cases were biliary AP, 199 cases were hypertriglyceridemic-induced AP,29 cases were alcoholic AP, and 40 cases were idiopathic AP. There were significant differences in gender,age,body mass index,combined cardiovascular disease,combined diabetes,combined nephrosis,disease severity and modified computed tomography severity index among AP patients with different etiologies ( χ2=24.61, F=48.65, 12.24, χ2=13.67, 12.90, 14.12, 15.56, H=17.62, P<0.05). (2) Complications and prognosis of AP patients with different etiologies. There was no significant difference in infectious pancreatic necrosis,duration of intensive care unit stay,total duration of hospital stay, and death of patients during hospitalization among AP patients with different etiologies ( P>0.05). (3) Complications and prognosis of moderately severe and severe AP patients with different etiologies. Of the 395 patients with moderately severe and severe AP, 217 cases were biliary AP, 128 cases were hypertriglyceridemic-induced AP, 19 cases were alcoholic AP, and 31 cases were idiopathic AP. There were significant differences in renal injury, multiple organ dysfunction syndrome and walled-off necrosis among moderately severe and severe AP patients with different etiologies ( χ2=12.62, 8.25, 14.33, P<0.05), and there was no significant difference in infectious pancreatic necrosis, lung injury, circulation system injury, duration of intensive care unit stay, total duration of hospital stay, or death of patients during hospitalization among moderately severe and severe AP patients with different etiologies ( P>0.05). Conclusions:The clinical charac-teristics vary among AP patients with different etiologies. The risk of complications varies among moderately severe and severe AP patients with different etiologies.

Objective·To analyze the influencing factors of left ventricular mass index(LVMI)in patients with essential hypertension,and explore the relationship between aldosterone levels and left ventricular hypertrophy(LVH).Methods·A total of 155 patients with essential hypertension,hospitalized in the Hypertension Department of the Northern Campus of Ruijin Hospital,Shanghai Jiao Tong University School of Medicine,from January 2013 to December 2019,and excluded from primary aldosteronism by saline load test(post-saline suppression plasma aldosterone<60 pg/mL),were enrolled.General clinical data(age,gender,smoking status,duration of hypertension,etc.),physical examination data(blood pressure and body mass index),blood biochemistry(renal function,electrolytes,fasting blood glucose,and lipids),urinary sodium,and relevant hormones(basal and activated aldosterone,basal and activated renin,urinary aldosterone,post-saline suppression aldosterone,etc.)were collected.LVMI was evaluated by echocardiography.Pearson correlation analysis was used to assess the linear association between LVMI and each variable.Binary Logistic regression models were applied to screen independent risk factors for LVH.Multiple linear regression models were used to assess the impact of variables on LVMI.Results·The mean age of the 155 patients was(46.85±11.08)years,with 51.6%being male.Pearson correlation analysis showed that LVMI was significantly positively correlated with post-saline suppression aldosterone(r=0.334,P<0.001),age(r=0.184,P=0.032),duration of hypertension(r=0.241,P=0.005),systolic blood pressure(r=0.280,P=0.001),and pulse pressure(r=0.339,P<0.001).No significant correlations were found with diastolic blood pressure,body mass index,fasting blood glucose,total cholesterol,low-density lipoprotein cholesterol,triglyceride,high-density lipoprotein cholesterol,urinary sodium,basal aldosterone,activated aldosterone,or urinary aldosterone.After adjusting for confounders,including gender,smoking history,age,duration of hypertension,body mass index,pulse pressure,systolic blood pressure,fasting blood glucose,and total cholesterol,binary Logistic regression showed that each 1 pg/mL increase in post-saline suppression aldosterone was associated with a 5.1%increased risk of LVH(OR=1.051,95%CI 1.016?1.088,P=0.004).Multiple linear regression identified suppressed aldosterone(β=0.359,P<0.001),duration of hypertension(β=0.168,P=0.046),and pulse pressure(β=0.226,P=0.008)as independent influencing factors for LVMI.Conclusion·Suppressed aldosterone is an independent influencing factor for LVH in patients with essential hypertension.