ObjectiveTo construct an automatic measurement model for palmar tilt and radial inclination suitable for traditional Chinese medicine （TCM） clinical scenarios， and to validate its accuracy and efficiency in TCM manipulative reduction settings. MethodsData on anteroposterior （AP） and lateral X-rays of distal radius fractures were collected from patients admitted to 18 TCM/ integrated TCM and western medicine hospitals in Jiangsu province between September 1st， 2023， and September 1st， 2024， via the Jiangsu Diagnosis and Treatment Big Data Platform for TCM Dominant Diseases. A medical image segmentation framework based on multi-scale feature fusion and edge-awareness was employed， combined with anatomical knowledge specific to TCM orthopedics， to optimize the feature extraction strategy of an artificial intelligence （AI） model. This framework enabled automatic segmentation of fracture regions and measurement of distal radius palmar tilt and radial inclination. The accuracy of the AI model in measuring radial inclination and volar tilt was validated， and the measurement time and average time gain rate of the AI model were compared to those of manual measurement. ResultsA total of 15,444 AP and lateral X-ray images of distal radius fractures were collected， and were divided into a training set （11,144 images， 5066 AP and 6078 lateral）， a validation set （3700 images， 1840 AP and 1860 lateral）， and an independent test set （600 images， 300 AP and 300 lateral） after preprocessing. In the measurement of 300 AP X-rays in the independent test set for radial inclination， when the degree error between AI measurement and manual measurement was ＜3° and ＜5°， AI measurement accuracy was 83% and 93%， respectively. In 300 lateral X-rays in the test set for palmar tilt， when AI measurements had an error of ＜3° and ＜5° compared to manual measurements， corresponding accuracy rate was 78% and 90%， respectively. For 50 X-ray images， AI measurement time was （1.37±0.05） min for radial inclination while manual measurement time was （22.57±2.52） min （P＜0.001）； in terms of palmar tilt， the AI measurement time was （1.33±0.14） min， shorter than （23.70±2.80） min for manual measurement time （P＜0.001）. Average time gain rates for manual and AI measurements were 93.93% and 94.39% respectively. ConclusionAn automatic measurement model for palmar tilt and radial inclination in distal radius fractures has been established， enabling more accurate and efficient assessment as well as providing a tool to support the quantitative evaluation of the efficacy of TCM manipulative reduction and large-sample clinical research.

OBJECTIVE To establish the UPLC fingerprint and the method for multi-component content determination in Jingangteng capsules， and to evaluate its quality by combining chemical pattern recognition analysis. METHODS An UPLC method was established. Separation was performed on a Zorbax SB-C 18 Rapid Resolution HD column， with acetonitrile-0.1% formic acid as the mobile phase for gradient elution.Using the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicines （2012 edition）， UPLC fi ngerprints were established for 10 batches of Jingangteng capsules， and similarity was evaluated. SPSS 22.0 and SIMCA 14.1 software were used to perform hierarchial-cluster analysis and orthogonal partial least squares discriminant analysis （OPLS-DA）， respectively. The same UPLC method was employed to determine the contents of chlorogenic acid， 3，5-dihydroxy-2-methylbenzoic acid-3- O -glucoside （M1）， caffeic acid， astilbin， oxyresveratrol， quercitrin and resveratrol in the 10 batches of samples. RESULTS A total of 17 common peaks were identified in UPLC fingerprints of the 10 batches of samples， of which 7 were identified as chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol. The similarities of 10 batches of samples ranged from 0.820 to 0.985. The results of hierarchial-cluster analysis showed that 10 batches of samples were grouped into four categories： S1-S4 formed one group， S5 and S6 formed another， S7， S8 and S10 formed a third， and S9 formed a fourth， consistent with the OPLS-DA results； the variable importance projection values for peaks 7， 10， 2， 16 （resveratrol）， 13 （oxyresveratrol）， 11， 6 （caffeic acid）， 5 （M1） and 15 （quercitrin） were ＞1. Quantitative analysis results showed that the contents of chlorogenic acid， M1， caffeic acid， astilbin， oxyresveratrol， quercitrin， and resveratrol were 1.650 8-4.213 7， 0.636 2-2.161 7， 0.031 0-0.086 5， 0.239 1-1.069 3， 0.211 9-1.104 0， 0.488 8-2.399 2， and 0.164 0-0.699 8 mg/g， respectively. CONCLUSIONS UPLC fingerprint and content determination methods established in this study are simple to operate， accurate， reliable and reproducible； when combined with chemical pattern recognition analysis， they can be used to evaluate the quality of Jingangteng capsules. Nine components， such as resveratrol， oxyresveratrol， caffeic acid， M1 and quercitrin， may serve as markers of quality variation.

Lipid turbidity disease is a metabolic disease featuring lipid metabolism disorders caused by many factors such as social environment， diet， and lifestyle， which is closely related to many diseases in modern medicine， such as hyperlipidemia， obesity， fatty liver， atherosclerosis， metabolic syndrome， and cardiovascular and cerebrovascular diseases， with a wide range of influence and far-reaching harm. According to the Huangdi Neijing， lipid turbidity disease reflects the pathological change of the body's physiologic grease. Grease is the thick part of body fluids， which has the function of nourishing， and it is the initial state and source of important substances in the human body such as brain， marrow， essence， and blood. Once the grease of the human body is abnormal， it can lead to lipid turbidity disease. The Huangdi Neijing also points out the physiological relationship between the transportation and transformation of body fluids and the rise and fall of the spleen and stomach， which can deduce the pathological relationship between the occurrence of lipid turbidity disease and the abnormal rise and fall of the spleen and stomach functions. Lipid turbidity disease is caused by overconsumption of fatty and sweet foods or insufficient spleen and stomach endowments， leading to disorders of the function of promoting clear and reducing turbidity in the spleen and stomach. This leads to the transformation of thick grease in body fluids into lipid turbidity， which accumulates in the body's meridians， blood vessels， skin pores， and organs， forming various forms of metabolic diseases. The research team believed that the pathological basis of lipid turbidity disease was the abnormal rise and fall of the spleen and stomach and the obstruction of the transfer of grease. According to the different locations where lipid turbidity stays， it was divided into four common pathogenesis types： ''inability to distinguish between the clear and turbid， turbid stagnation in the Ying blood''， ''spleen not rising clear， turbid accumulation in the vessels''， ''spleen dysfunction， lipid retention in the pores''， ''spleen failure to transportation and transformation， and grease accumulation in the liver''. According to the pathogenesis， it could be divided into four common syndromes， namely， turbid stagnation in the Ying blood， turbid accumulation in the vessels， lipid retention in the pores， and grease accumulation in the liver， and the corresponding prescriptions were given for syndrome differentiation and treatment， so as to guide clinical differentiation and treatment of the lipid turbidity disease.

[Objective] To extract hemoglobin (Hb) from red blood cells using osmotic pressure swelling method, expected to achieve a hemoglobin dissolution rate of ≥80% and a cell membrane integrity rate of ≥70%. [Methods] Human umbilical cord blood red blood cells were used as raw materials and phosphate buffer solution was used as the swelling solution for red blood cells. A three factor three-level orthogonal experiment (n=3) was conducted to determine the optimal matching conditions for selecting the osmolality molar concentration of phosphate buffer solution, pH value of hypotonic phosphate buffer solution and volume ratio of hypotonic phosphate buffer solution to washed red blood cells. Red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions. The hemoglobin dissolution rate and cell membrane integrity rate were checked. In the expanded comparative experiment, red blood cell swelling solution samples (n=6) were prepared by the optimal matching conditions and the original process conditions, which was filtered by ultrafiltration membranes. The filtration time and hemoglobin yield were checked. [Results] The optimal matching conditions for preparing red blood cell swelling solution were obtained through orthogonal experiment as follows: osmotic pressure molar concentration was 30 mOsmol/Kg, pH was 7.8, and phosphate buffer to red blood cell volume ratio was 6∶1. On the basis of the above conditions, the red blood cell swelling solution sample was compared with the original process sample: the hemoglobin dissolution rate was (82.4±1.8)% vs (78.6±3.0)% (P<0.05), and the cell membrane integrity rate was (65.8±4.0)% vs (28.7±2.3)% (P<0.05). In the expanded comparative experiment, the optimal matching conditions were compared with the original process conditions: filtration time(s) (327±9) vs (434±13) (P<0.05), and hemoglobin yield was (72.3±1.2)% vs (66.0±1.4)% (P<0.05). [Conclusion] Compared with the original preparation process, the hemoglobin extraction process which optimized through orthogonal experiments greatly reduces the cell membrane fragmentation rate and minimizes the entry of cell membrane matrix into the target solution, ensuring a slightly higher hemoglobin dissolution rate, and reducing the preparation difficulty for the subsequent cell membrane separation and further purification.

[Objective] To investigate the protective effect of Salvia miltiorrhiza injection (SMI) on the kidneys of HBOC-CHP01 resuscitated haemorrhagic shock rats. [Methods] A 50% haemorrhagic shock rat model was established, with 12 rats divided into two groups: SMI + HBOC-CHP01 group and HBOC-CHP01 group, with 6 rats in each group. The rats in the SMI+ HBOC-CHP01 group were given an equal volume of HBOC-CHP01 for resuscitation after haemorrhagic shock, and an 8 mL/kg dose of SMI. Rats in the HBOC-CHP01 group were resuscitated by administering an equilibrium blood loss volume of HBOC-CHP01 and given an 8 mL/kg dose of 0.9% NaCl solution. Blood was taken from rats at five points: before bloodletting (baseline), during haemorrhagic shock (HS), immediately after resuscitation (RS0h), 1 h after resuscitation (RS1h), and 24 h after resuscitation (RS24h). A blood gas analyser was used to detect the lactate level (Lac), glucose content (Glu), residual base (BEecf), pH, bicarbonate (HCO3-), high iron haemoglobin (MetHb). White blood cells (WBC), platelets (PLT), haemoglobin content (Hb), carboxyhaemoglobin (COHb) were detected using a quintuple classification. Blood creatinine (SCr), uric acid (UA), kidney-related indexes were detected using biochemistry instrument. Kidney tissues of the rats were taken after 24 h of resuscitation and after execution, and the inflammation of kidneys of the rats of the two groups was analyzed using HE staining. Fluorescence staining was used to detect the level of ROS in the kidneys of rats in both groups. [Results] At RS 0h, the Beecf, Glu and Lac levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group, and the pH level of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group, and the Glu levels of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group at RS 1h. At RS 0h, the WBC, PLT and COHb contents of rats in the SMI+HBOC-CHP01 group were all significantly higher than those of rats in the HBOC-CHP01 group, and at RS 1h, the WBC content of rats in the SMI+HBOC-CHP01 group was significantly higher than that of rats in the HBOC-CHP01 group; at RS 1h, the UA content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the SCr content of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC-CHP01 group; at RS 24h, the inflammation level of kidney tissues of rats in the SMI+HBOC-CHP01 group was significantly lower than that of rats in the HBOC -CHP01 group rats, and the ROS and MPO levels in the kidney tissues of rats in the SMI+HBOC-CHP01 group were significantly lower than those of rats in the HBOC-CHP01 group. [Conclusion] The combination of Salvia miltiorrhiza injection during the resuscitation of rats with severe haemorrhagic shock by HBOC-CHP01 can alleviate renal injury by reducing inflammatory response and oxidative stress.

Current experimental and computational methods have limitations in accurately and efficiently classi-fying ion channels within vast protein spaces.Here we have developed a deep learning algorithm,GPT2 Ion Channel Classifier(GPT2-ICC),which effectively distinguishing ion channels from a test set con-taining approximately 239 times more non-ion-channel proteins.GPT2-ICC integrates representation learning with a large language model(LLM)-based classifier,enabling highly accurate identification of potential ion channels.Several potential ion channels were predicated from the unannotated human proteome,further demonstrating GPT2-ICC's generalization ability.This study marks a significant advancement in artificial-intelligence-driven ion channel research,highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data.Moreover,it provides a valuable computational tool for uncovering previously uncharacterized ion channels.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

The intestine and liver are closely connected both physiologically and pathologically, forming a so-called gut-liver axis, with the gut microbiota serving as a pivotal link in their bidirectional communication. Gut microbiota dysbiosis and gut-liver axis disruption play a key role in the development and progression of colorectal cancer liver metastasis (CRLM), though the underlying mechanisms have not been clearly elucidated. Certain gut microbiota, such as Escherichia coli and Enterococcus spp., can breach the intestinal barrier and translocate to the liver, promoting the formation of pre-metastatic niche. Fusobacterium nucleatum and Enterococcus faecalis enhance tumor cell invasion/migration, while Parabacteroides spp. suppress anti-tumor immunity in the liver TME. Interventions like fecal microbiota transplantation, dietary modifications, and traditional Chinese medicine have shown potential in clinical and preclinical studies to improve patient outcomes by targeting the gut microbiota, but their long-term efficacy and safety require further investigation. Future research should focus on elucidating the effects of specific bacterial species, metabolites, viruses, and fungi on tumorigenesis. Exploring the potential of gut microbiota-based precision medicine and personalized therapies will improve risk stratification and enable more targeted interventions for CRLM patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.