1.The Interpretation of the Connotation and Characteristics of Chinese Health Index:Integrating Cultural Connotations with Modern Health Perspectives
Rui XU ; Siyu ZENG ; Han ZHOU ; Zhong WANG
Journal of Traditional Chinese Medicine 2026;67(12):1245-1250
The Chinese health index assessment system integrates the dialectical thinking of traditional philosophy, taking the Taoist cosmology, Confucian ethical view, and the holistic perspective of traditional Chinese medicine (TCM) as its theoretical foundation. It deeply analyzes the sages' conceptions of the ideal personality and social order, as well as their ideas on mind-body cultivation, while incorporating modern health concepts from psychology, medicine. The study systematically explicates the connotation and characteristics of eight components of the Chinese health index, including harmony, dedication, compassion, happiness, peace of mind, innovation, fulfillment, and adaptability. This system establishes a multidimensional assessment framework covering physical health, psychological well-being, human-social relations, and the relationship with nature, which demonstrates high cultural adaptability and practical applicability, offering theoretical reference for assessing the mind-body health of the Chinese population and for informing health promotion policies.
2.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
3.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
4.Role and mechanism of caffeic acid in a mouse model of severe acute pancreatitis
Siyu XU ; Tao LIU ; Lulu LAN ; Yining XUE ; Wei WEI ; Yi HAN ; Sucheng MU ; Haiyan SONG ; Shilin DU
Journal of Clinical Hepatology 2025;41(4):722-730
ObjectiveTo investigate the effect and potential mechanism of caffeic acid (CA) on severe acute pancreatitis (SAP) induced by caerulein combined with lipopolysaccharide (LPS), and to provide a basis for the research on novel drugs for the treatment of SAP. MethodsC57BL/6J mice, aged 6 weeks, were divided into control group, model group, CA group, and octreotide acetate (OA) group, with 6 mice in each group. The mice in the control group were given injection of normal saline, and those in the other groups were given intraperitoneal injection of caerulein combined with LPS to establish a mouse model of SAP. At 1 hour after the first injection of caerulein, the mice in the CA group and the OA group were given intraperitoneal injection of CA or subcutaneous injection of OA at an interval of 8 hours. The general status of the mice was observed after 24 hours of modeling, and serum, pancreas, lung, and colon samples were collected. HE staining was used to observe the histopathological changes of the pancreas and lungs, and the serum levels of α-amylase, lipase, tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), alanine aminotransferase, aspartate aminotransferase, and creatinine were measured. RT-PCR was used to measure the expression of proinflammatory factors in the pancreas and lungs; myeloperoxidase (MPO) immunohistochemistry was used to observe the degree of neutrophil infiltration; Western blot was used to measure the activation of nuclear factor-kappa B (NF-κB) and the level of citrullinated histone H3 (CitH3), a marker for the formation of neutrophil extracellular traps (NETs), in the pancreas and lungs, as well as the expression level of ZO-1 in colon tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups, and the Dunnett’s t-test was used for further comparison between two groups. ResultsCompared with the control group, the model group had severe injury in the pancreas and lungs and significant increases in the activity of serum α- amylase and lipase and the levels of the proinflammatory cytokines IL-6, interleukin-1β (IL-1β), and TNF-α in serum and lung tissue (all P<0.05), as well as significant increases in NF-κB activation, neutrophil infiltration, and the formation of NETs in the pancreas and lungs (all P<0.05). Compared with the model group, the CA group had alleviated pathological injury of the pancreas and lungs and significant reductions in the activity of serum α-amylase and the levels of the proinflammatory cytokines IL-6, IL-1β, and TNF-α in serum and lung tissue (all P<0.05), as well as significant reductions in NF-κB activation, neutrophil infiltration, and the formation of NETs in the pancreas and lungs (all P<0.05). ConclusionCA can alleviate SAP induced by caerulein combined with LPS in mice, possibly by inhibiting neutrophil recruitment and the formation of NETs.
5.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
6.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
7.Curcumin induces the autophagy of Mycobacterium tuberculosis-infected macrophages through PI3K/Akt/mTOR pathway
Xiaomei LUO ; Xiaoqun HAN ; Qin DENG ; Nanyan FU ; Zhixing ZHOU ; Siyu HUANG
Chinese Journal of Microbiology and Immunology 2025;45(1):64-71
Objective:To investigate the effect of curcumin on phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway on the autophagy of Bacille Calmette-Guérin (BCG)-infected macrophages.Methods:The infection model was established by infecting THP-1-derived macrophages with BCG. Five groups were involved in this study, which were control group, BCG group, BCG+ curcumin group, BCG+ curcumin+ IGF-1(PI3K agonist) group, and BCG+ curcumin+ LY294002 (PI3K inhibitor) group. The fluorescence intensity of autophagosomes was observed under fluorescence microscope using the fluorescent dye monodansylcadaverine (MDC staining). The expression of PI3K, Akt, mTOR, phospho-PI3K (p-PI3K), phospho-Akt (p-Akt), phospho-mTOR (p-mTOR), microtubule-associated protein 1 light chain 3-Ⅱ (LC3-Ⅱ), and Beclin-1 at protein level were detected by Western blot. Colony forming unit was used to detect macrophage load. Multiple independent, normal, and homogeneous data were compared using one-way analysis of variance, and pairwise comparisons were conducted using LSD test.Results:BCG infection significantly decreased the fluorescence intensity of autophagosomes, and the expression of autophagy marker proteins LC3-Ⅱ and Beclin-1 ( P<0.05), but increased the expression of p-PI3K, p-Akt, and p-mTOR ( P<0.05). Curcumin increased the fluorescence intensity of autophagosomes and enhanced the expression of LC3-Ⅱ and Beclin-1 proteins in a concentration-dependent manner ( P<0.05). Besides, curcumin inhibited the expression of p-PI3K, p-Akt, and p-mTOR ( P<0.05). The PI3K agonist IGF-1 reversed the above effects of curcumin. Compared with the BCG+ curcumin group, the fluorescence intensity of autophagosomes and the expression of LC3-Ⅱ and Beclin-1 proteins were further increased ( P<0.05), while the expression of p-PI3K, p-Akt and p-mTOR was further decreased ( P<0.05) in the BCG+ curcumin+ LY294002 group. Compared with the BCG group, the bacterial loads in the BCG+ curcumin group and the BCG+ curcumin+ LY294002 group decreased significantly ( P<0.05), while the bacterial load in the BCG+ curcumin+ IGF-1 group increased significantly ( P<0.05). Conclusions:Curcumin can promote the autophagy of BCG-infected macrophages, which contributes to the clearance of Mycobacterium tuberculosis by macrophages. Part of the mechanism may be related to the inhibition of PI3K/Akt/mTOR pathway.
8.Effectiveness of arthroscopic treatment for femoroacetabular impingement syndrome combined with ligamentum teres injury.
Siyu HAN ; Song LI ; Di JIA ; Yanlin LI ; Guofeng CAI
Chinese Journal of Reparative and Reconstructive Surgery 2025;39(12):1551-1555
OBJECTIVE:
To investigate the effectiveness of hip arthroscopy in the treatment of patients with femoroacetabular impingement (FAI) syndrome combined with ligamentum teres injury.
METHODS:
A retrospective analysis was conducted on 23 patients (23 hips) with Cam-type FAI syndrome combined with ligamentum teres injury who met the selection criteria between April 2022 and May 2024. The cohort included 12 males and 11 females, with a mean age of 29.16 years (range, 16-57 years). According to Tönnis classification, there were 5 cases of grade 0, 10 cases of grade Ⅰ, and 8 cases of grade Ⅱ in hip osteoarthritis. The disease duration ranged from 6 to 24 months, with an average of 12 months. Under hip arthroscopy, hypertrophic synovium and the damaged ligamentum teres were debrided, while the torn labrum and cartilage were repaired, and femoral head-neck osteoplasty was performed to eliminate impingement, restore the normal morphology of the acetabulum and femoral head-neck, and suture the joint capsule. Acetabular lateral center-edge angle (LCEA) and α angle (reflecting the degree of non-sphericity at the femoral head-neck junction) were measured before and after operation, and the modified Harris hip score (mHHS), the International Hip Outcome Tool-12 (IHOT-12), and the visual analogue scale (VAS) score for pain were evaluated.
RESULTS:
The operation was successfully completed in all patients. The incisions healed by first intention after operation, and there was no perioperative complications such as iatrogenic cartilage injury, fracture, infection, neurovascular traction injury, or lower extremity venous thrombosis. All the 23 patients were followed up 12-24 months, with an average of 14.6 months. The pain of hip joint significantly relieved, and the function of hip joint improved; no complication such as joint stiffness, joint instability, and osteonecrosis of the femoral head occurred. The α angle, VAS score, mHHS score, and IHOT-12 score at last follow-up were significantly better than those before operation ( P<0.05); there was no significant difference in LCEA compared to preoperative value ( P>0.05).
CONCLUSION
Hip arthroscopy is a safe and effective treatment for patients with FAI syndrome combined with ligamentum teres injury, which can achieve satisfactory effectiveness.
Humans
;
Femoracetabular Impingement/complications*
;
Arthroscopy/methods*
;
Adult
;
Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Adolescent
;
Treatment Outcome
;
Young Adult
;
Hip Joint/surgery*
;
Acetabulum/surgery*
;
Round Ligaments/surgery*
;
Range of Motion, Articular
9.Synthetic MRI Combined With Clinicopathological Characteristics for Pretreatment Prediction of Chemoradiotherapy Response in Advanced Nasopharyngeal Carcinoma
Siyu CHEN ; Jiankun DAI ; Jing ZHAO ; Shuang HAN ; Xiaojun ZHANG ; Jun CHANG ; Donghui JIANG ; Heng ZHANG ; Peng WANG ; Shudong HU
Korean Journal of Radiology 2025;26(2):135-145
Objective:
To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC).
Materials and Methods:
Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test.
Results:
The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively.
Conclusion
SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.
10.The chordata olfactory receptor database.
Wei HAN ; Siyu BAO ; Jintao LIU ; Yiran WU ; Liting ZENG ; Tao ZHANG ; Ningmeng CHEN ; Kai YAO ; Shunguo FAN ; Aiping HUANG ; Yuanyuan FENG ; Guiquan ZHANG ; Ruiyi ZHANG ; Hongjin ZHU ; Tian HUA ; Zhijie LIU ; Lina CAO ; Xingxu HUANG ; Suwen ZHAO
Protein & Cell 2025;16(4):286-295

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