1.Clinical Efficacy and Radiographic Outcomes of Manipulative Reduction Combined with Small Splint Fixation for Distal Radius Fractures:A Retrospective Multicenter Study with Propensity Score Matching
Mao WU ; Guoda DAI ; Yang SHAO ; Shaoshuo LI ; Zhen HUA ; Hengyan CUI ; Tingchen ZHU ; Dipeng LI ; Jintao LIU ; Ming ZHOU ; Peimin WANG ; Liyong ZHANG ; Jianwei WANG
Journal of Traditional Chinese Medicine 2026;67(10):1086-1092
ObjectiveTo observe the clinical efficacy and radiographic outcomes of manipulative reduction combined with small splint fixation in the treatment of distal radius fractures. MethodsThe clinical data of 1051 patients with distal radius fractures were retrospectively collected from five hospitals included in the Jiangsu Diagnosis and Treatment Data Platform for Traditional Chinese Medicine(TCM) Dominant Diseases. Propensity score matching at a 1∶4 ratio was applied, resulting in 580 cases selected for final analysis, which comprised 448 patients in the TCM group(manipulative reduction plus small splint fixation) and 132 in the surgical treatment group(open reduction and internal fixation). Each group was further stratified into type A, B, and C subgroups based on AO fracture classification. Radiographic indicators including palmar tilt, radial inclination, and radial height were compared between groups before treatment and 1 day, 1 week, and 4-6 weeks after treatment, and pain visual analog scale(VAS) scores before treatment and 1 week and 4-6 weeks after treatment were also compared. Wrist joint function was assessed 12 weeks after treatment, using the Dienst wrist function score and the Gartland and Werley(G-W) wrist function score. Additionally, the radiographic indicators at different timepoints and the 12-week wrist function levels were compared between groups across different fracture types. ResultsNo statistically significant difference was observed in radiographic indicators and VAS scores at all timepoints before and after treatment, as well as wrist joint function grades assessed by the Dienst score and the G-W score at 12 weeks after treatment (P>0.05). Compared to those before treatment, both groups showed increased palmar tilt, radial inclination, and radial height 1 week and 4-6 weeks after treatment, and decreased VAS scores (P<0.05). Compared to those 1 week after treatment, both groups showed a decrease in palmar tilt, an increase in radial inclination and radial height, and a reduction in VAS score 4-6 weeks after treatment(P<0.05). In type A and B subgroups, the surgical treatment group had a higher radial inclination than the TCM group 4-6 weeks after treatment, while in the type C subgroup, a higher radial height was shown in the surgical treatment group than in the TCM group 4-6 weeks after treatment(P<0.05). In type C subgroup, there was significant difference between groups in the wrist joint function by G-W scores 12 weeks after treatment(P<0.05). ConclusionManipulative reduction combined with small splint fixation can maintain fracture alignment and alleviate pain in treating distal radius fractures, which achieves therapeutic outcomes comparable to surgical treatment. It is particularly suitable for type A and B fractures and can be considered an effective treatment option for distal radius fractures.
2.Construction and Clinical Validation of a Deep Learning-Based Automatic Measurement Model for Palmar Tilt and Radial Inclination in Distal Radius Fractures
Guoda DAI ; Jianwei WANG ; Mao WU ; Bin KANG ; Yang SHAO ; Hengyan CUI ; Shaoshuo LI ; Tingchen ZHU ; Zhen HUA ; Zhongming SHEN ; Jintao LIU ; Ming ZHOU
Journal of Traditional Chinese Medicine 2026;67(10):1093-1100
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.
3.Research on the Correlation between Balance Function and Core Muscles in Patients With Adolescent Idiopathic Scoliosis
Si-Jia LI ; Qing YUE ; Qian-Jin LIU ; Yan-Hua LIANG ; Tian-Tian ZHOU ; Xiao-Song LI ; Tian-Yang FENG ; Tong ZHANG
Neurospine 2025;22(1):264-275
Objective:
This study aimed to explore the correlation between balance function and core muscle activation in patients with adolescent idiopathic scoliosis (AIS), compared to healthy individuals.
Methods:
A total of 24 AIS patients and 25 healthy controls were recruited. The limits of stability (LOS) test were conducted to assess balance function, while surface electromyography was used to measure the activity of core muscles, including the internal oblique, external oblique, and multifidus. Diaphragm thickness was measured using ultrasound during different postural tasks. Center of pressure (COP) displacement and trunk inclination distance were also recorded during the LOS test.
Results:
AIS patients showed significantly greater activation of superficial core muscles, such as the internal and external oblique muscles, compared to the control group (p < 0.05). Diaphragm activation was lower in AIS patients during balance tasks (p < 0.01). Although no significant difference was observed in COP displacement between the groups, trunk inclination was significantly greater in the AIS group during certain tasks (p < 0.05).
Conclusion
These findings suggest distinct postural control patterns in AIS patients, highlighting the importance of targeted interventions to improve balance and core muscle function in this population.
4.Artificial intelligence in traditional Chinese medicine: from systems biological mechanism discovery, real-world clinical evidence inference to personalized clinical decision support.
Dengying YAN ; Qiguang ZHENG ; Kai CHANG ; Rui HUA ; Yiming LIU ; Jingyan XUE ; Zixin SHU ; Yunhui HU ; Pengcheng YANG ; Yu WEI ; Jidong LANG ; Haibin YU ; Xiaodong LI ; Runshun ZHANG ; Wenjia WANG ; Baoyan LIU ; Xuezhong ZHOU
Chinese Journal of Natural Medicines (English Ed.) 2025;23(11):1310-1328
Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods*
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Artificial Intelligence
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Humans
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Precision Medicine
;
Decision Support Systems, Clinical
5.Design, synthesis and pharmacological evaluation of 1,2,3,4-tetrahydrobenzofuro2,3-cpyridine derivatives as p21-activated kinase 4 inhibitors for treatment of pancreatic cancer.
Yang LI ; Yan FANG ; Xiaoyu CHEN ; Linjiang TONG ; Fang FENG ; Qianqian ZHOU ; Shulun CHEN ; Jian DING ; Hua XIE ; Ao ZHANG
Acta Pharmaceutica Sinica B 2025;15(1):438-466
The p21-activated kinase 4 (PAK4), a key regulator of malignancy, is negatively correlated with immune infiltration and has become an emergent drug target of cancer therapy. Given the lack of high efficacy PAK4 inhibitors, we herein reported the identification of a novel inhibitor 13 bearing a tetrahydrobenzofuro[2,3-c]pyridine tricyclic core and possessing high potency against MIA PaCa-2 and Pan02 cell lines with IC50 values of 0.38 and 0.50 μmol/L, respectively. This compound directly binds to PAK4 in a non-ATP competitive manner. In the mouse Pan02 model, compound 13 exhibited significant tumor growth inhibition at a dose of 100 mg/kg, accompanied by reduced levels of PAK4 and its phosphorylation together with immune infiltration in mice tumor tissue. Overall, compound 13 is a novel allosteric PAK4 inhibitor with a unique tricyclic structural feature and high potency both in vitro and in vivo, thus making it worthy of further exploration.
6.VenusMutHub: A systematic evaluation of protein mutation effect predictors on small-scale experimental data.
Liang ZHANG ; Hua PANG ; Chenghao ZHANG ; Song LI ; Yang TAN ; Fan JIANG ; Mingchen LI ; Yuanxi YU ; Ziyi ZHOU ; Banghao WU ; Bingxin ZHOU ; Hao LIU ; Pan TAN ; Liang HONG
Acta Pharmaceutica Sinica B 2025;15(5):2454-2467
In protein engineering, while computational models are increasingly used to predict mutation effects, their evaluations primarily rely on high-throughput deep mutational scanning (DMS) experiments that use surrogate readouts, which may not adequately capture the complex biochemical properties of interest. Many proteins and their functions cannot be assessed through high-throughput methods due to technical limitations or the nature of the desired properties, and this is particularly true for the real industrial application scenario. Therefore, the desired testing datasets, will be small-size (∼10-100) experimental data for each protein, and involve as many proteins as possible and as many properties as possible, which is, however, lacking. Here, we present VenusMutHub, a comprehensive benchmark study using 905 small-scale experimental datasets curated from published literature and public databases, spanning 527 proteins across diverse functional properties including stability, activity, binding affinity, and selectivity. These datasets feature direct biochemical measurements rather than surrogate readouts, providing a more rigorous assessment of model performance in predicting mutations that affect specific molecular functions. We evaluate 23 computational models across various methodological paradigms, such as sequence-based, structure-informed and evolutionary approaches. This benchmark provides practical guidance for selecting appropriate prediction methods in protein engineering applications where accurate prediction of specific functional properties is crucial.
7.Expert consensus on the prevention and treatment of radiochemotherapy-induced oral mucositis.
Juan XIA ; Xiaoan TAO ; Qinchao HU ; Wei LUO ; Xiuzhen TONG ; Gang ZHOU ; Hongmei ZHOU ; Hong HUA ; Guoyao TANG ; Tong WU ; Qianming CHEN ; Yuan FAN ; Xiaobing GUAN ; Hongwei LIU ; Chaosu HU ; Yongmei ZHOU ; Xuemin SHEN ; Lan WU ; Xin ZENG ; Qing LIU ; Renchuan TAO ; Yuan HE ; Yang CAI ; Wenmei WANG ; Ying ZHANG ; Yingfang WU ; Minhai NIE ; Xin JIN ; Xiufeng WEI ; Yongzhan NIE ; Changqing YUAN ; Bin CHENG
International Journal of Oral Science 2025;17(1):54-54
Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans
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Chemoradiotherapy/adverse effects*
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Consensus
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Risk Factors
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Stomatitis/etiology*
8.Lentivirus-modified hematopoietic stem cell gene therapy for advanced symptomatic juvenile metachromatic leukodystrophy: a long-term follow-up pilot study.
Zhao ZHANG ; Hua JIANG ; Li HUANG ; Sixi LIU ; Xiaoya ZHOU ; Yun CAI ; Ming LI ; Fei GAO ; Xiaoting LIANG ; Kam-Sze TSANG ; Guangfu CHEN ; Chui-Yan MA ; Yuet-Hung CHAI ; Hongsheng LIU ; Chen YANG ; Mo YANG ; Xiaoling ZHANG ; Shuo HAN ; Xin DU ; Ling CHEN ; Wuh-Liang HWU ; Jiacai ZHUO ; Qizhou LIAN
Protein & Cell 2025;16(1):16-27
Metachromatic leukodystrophy (MLD) is an inherited disease caused by a deficiency of the enzyme arylsulfatase A (ARSA). Lentivirus-modified autologous hematopoietic stem cell gene therapy (HSCGT) has recently been approved for clinical use in pre and early symptomatic children with MLD to increase ARSA activity. Unfortunately, this advanced therapy is not available for most patients with MLD who have progressed to more advanced symptomatic stages at diagnosis. Patients with late-onset juvenile MLD typically present with a slower neurological progression of symptoms and represent a significant burden to the economy and healthcare system, whereas those with early onset infantile MLD die within a few years of symptom onset. We conducted a pilot study to determine the safety and benefit of HSCGT in patients with postsymptomatic juvenile MLD and report preliminary results. The safety profile of HSCGT was favorable in this long-term follow-up over 9 years. The most common adverse events (AEs) within 2 months of HSCGT were related to busulfan conditioning, and all AEs resolved. No HSCGT-related AEs and no evidence of distorted hematopoietic differentiation during long-term follow-up for up to 9.6 years. Importantly, to date, patients have maintained remarkably improved ARSA activity with a stable disease state, including increased Functional Independence Measure (FIM) score and decreased magnetic resonance imaging (MRI) lesion score. This long-term follow-up pilot study suggests that HSCGT is safe and provides clinical benefit to patients with postsymptomatic juvenile MLD.
Humans
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Leukodystrophy, Metachromatic/genetics*
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Pilot Projects
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Genetic Therapy/methods*
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Hematopoietic Stem Cell Transplantation
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Male
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Follow-Up Studies
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Female
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Lentivirus/genetics*
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Child
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Child, Preschool
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Hematopoietic Stem Cells/metabolism*
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Cerebroside-Sulfatase/metabolism*
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Adolescent
9.Coupling of an Au@AgPt nanozyme array with an micrococcal nuclease-specific responsiveness strategy for colorimetric/SERS sensing of Staphylococcus aureus in patients with sepsis.
Xueqin HUANG ; Yingqi YANG ; Hanlin ZHOU ; Liping HU ; Annan YANG ; Hua JIN ; Biying ZHENG ; Jiang PI ; Jun XU ; Pinghua SUN ; Huai-Hong CAI ; Xujing LIANG ; Bin PAN ; Junxia ZHENG ; Haibo ZHOU
Journal of Pharmaceutical Analysis 2025;15(2):101085-101085
Rapid and ultrasensitive detection of pathogen-associated biomarkers is vital for the early diagnosis and therapy of bacterial infections. Herein, we developed a close-packed and ordered Au@AgPt array coupled with a cascade triggering strategy for surface-enhanced Raman scattering (SERS) and colorimetric identification of the Staphylococcus aureus biomarker micrococcal nuclease (MNase) in serum samples. The trimetallic Au@AgPt nanozymes can catalyze the oxidation of 3,3',5,5'-tetramethylbenzidine (TMB) molecules to SERS-enhanced oxidized TMB (oxTMB), accompanied by the color change from colorless to blue. In the presence of S. aureus, the secreted MNase preferentially cut the nucleobase AT-rich regions of DNA sequences on magnetic beads (MBs) to release alkaline phosphatase (ALP), which subsequently mediated the oxTMB reduction for inducing the colorimetric/SERS signal fade away. Using this "on-to-off" triggering strategy, the target S. aureus can be recorded in a wide linear range with a limit of detection of 38 CFU/mL in the colorimetric mode and 6 CFU/mL in the SERS mode. Meanwhile, the MNase-mediated strategy characterized by high specificity and sensitivity successfully discriminated between patients with sepsis (n = 7) and healthy participants (n = 3), as well as monitored the prognostic progression of the disease (n = 2). Overall, benefiting from highly active and dense "hot spot" substrate, MNase-mediated cascade response strategy, and colorimetric/SERS dual-signal output, this methodology will offer a promising avenue for the early diagnosis of S. aureus infection.
10.Thermal sensitization of acupoints in patients with knee osteoarthritis: A cross-sectional case-control study.
Jian-Feng TU ; Xue-Zhou WANG ; Shi-Yan YAN ; Yi-Ran WANG ; Jing-Wen YANG ; Guang-Xia SHI ; Wen-Zheng ZHANG ; Li-Na JIN ; Li-Sha YANG ; Dong-Hua LIU ; Li-Qiong WANG ; Bao-Hong MI
Journal of Integrative Medicine 2025;23(3):289-296
OBJECTIVE:
Varied acupoint selections represent a potential cause of the uncertainty surrounding the efficacy of acupuncture for knee osteoarthritis (OA). Skin temperature, a guiding factor for acupoint selection, may help to address this issue. This study explored thermal sensitization of acupoints used for the treatment of knee OA.
METHODS:
This cross-sectional case-control study enrolled cases aged 45-75 years with symptomatic knee OA and age- and gender-matched non-knee OA controls in a 1:1 ratio. All participants underwent infrared thermographic imaging. The primary outcome was the relative skin temperature of acupoint (STA), and the secondary outcome was the absolute STA of 11 acupoints. The Z test was used to compare the relative and absolute STAs between the groups. Principal component analysis was used to extract the common factors (CFs, acupoint cluster) in the STAs. A general linear model was used to identify factors affecting the STA in the knee OA cases. For the group comparisons of relative STA, P < 0.0045 (adjusted for 11 acupoints through Bonferroni correction) was considered to indicate statistical significance. For other analyses, P < 0.05 was used as the threshold for statistical significance.
RESULTS:
The analysis included 308 participants, consisting of 151 cases (mean age: [64.58 ± 6.67] years; male: 25.83%; mean body mass index: [25.70 ± 3.16] kg/m2) and 157 controls (mean age: [63.37 ± 5.96] years; male: 26.11%; mean body mass index: [24.47 ± 2.84] kg/m2). The relative STAs of ST34 (P = 0.0001), EX-LE2 (P < 0.0001), EX-LE5 (P = 0.0006), SP10 (P < 0.0001), BL40 (P = 0.0012) and GB39 (P = 0.0037) were higher in the knee OA group. No difference was found in the STAs of ST35, ST36, SP9, GB33 and GB34. Four CFs were identified for relative STA in both groups. The acupoints within each CF were consistent between the groups. The mean values of the relative STAs across each CF were higher in the knee OA group. In the knee OA cases, no factors were observed to affect the relative STA, while age and gender were found to affect the absolute STA.
CONCLUSION
Among patients with knee OA, thermal sensitization occurs in the acupoints of the lower extremity, exhibiting localized and regional thermal consistencies. The thermally sensitized acupoints that we identified in this study, ST34, SP10, EX-LE2, EX-LE5, GB39 and BL40, may be good choices for the acupuncture treatment of knee OA. Please cite this article as: Tu JF, Wang XZ, Yan SY, Wang YR, Yang JW, Shi GX, Zhang WZ, Jing LN, Yang LS, Liu DH, Wang LQ, Mi BH. Thermal sensitization of acupoints in patients with knee osteoarthritis: A cross-sectional case-control study. J Integr Med. 2025; 23(3): 289-296.
Humans
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Osteoarthritis, Knee/physiopathology*
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Male
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Cross-Sectional Studies
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Middle Aged
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Female
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Acupuncture Points
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Case-Control Studies
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Aged
;
Skin Temperature
;
Acupuncture Therapy

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