1.GAO Shuzhong's Experience in Treating Idiopathic Tinnitus with Combination of Acupuncture and Chinese Materia Medica
Pengfei WANG ; Yiyang SUN ; Xiaoyan LI ; Wenli YAN ; Ningning MENG ; Guirong YANG ; Yuxia MA
Journal of Traditional Chinese Medicine 2025;66(3):233-237
To summarize Professor GAO Shuzhong's clinical experience in treating idiopathic tinnitus with a combination of acupuncture and Chinese meteria medica. It is believed that idiopathic tinnitus is mostly caused by weak lungs and spleen, kidney essence deficiency, liver constraint transforming into fire, and binding constraint of heart qi. Treatment advocates the combination of acupuncture and Chinese meteria medica in clinical practice. Acupuncture treatment mainly focus on the method of opening the orifices by syndrome identification in combination with Ermen (TE 21), Tinggong (SI 19), Tinghui (GB 2), Shenmai (BL 62) to regulate qi and blood, and supporting with Baihui (GV 20), Yintang (EX-HN 3), Taichong (LR 3), and Yanglingquan (GB 34) to soothe the liver, resolve constraint, and calm the mind. Oral administration of Chinese medicinal prescription usually includes modified Yiqi Congming Decoction (益气聪明汤) and Tongqi Powder (通气散), and the external administration of Chinese medicinal prescription can apply self-prescribed Wenqing Powder (温清散) to navel moxibustion.
2.The Establishment of a Virus-related Lymphoma Risk Warning System and Health Management Model Based on Traditional Chinese Medicine Conditions
Hanjing LI ; Shunan LI ; Zewei ZHUO ; Shunyong WANG ; Qiangqiang ZHENG ; Bingyu HUANG ; Yupeng YANG ; Chenxi QIU ; Ningning CHEN ; He WANG ; Tingbo LIU ; Haiying FU
Journal of Traditional Chinese Medicine 2025;66(4):335-339
Virus-related lymphoma exhibits a dual nature as both a hematologic malignancy and a viral infectious disease, making it more resistant to treatment and associated with poorer prognosis. This paper analyzes the understanding and therapeutic advantages of traditional Chinese medicine (TCM) in virus-related lymphoma. It proposes a TCM-based approach centered around syndrome differentiation, using standardized measurements of the overall TCM condition, multi-omics research of hematologic tumors, and artificial intelligence technologies to identify the "pre-condition" of virus-related lymphoma. A risk warning model will be established to early identify high-risk populations with viral infections that may develop into malignant lymphoma, thereby establishing a risk warning system for virus-related lymphoma. At the same time, a TCM health management approach will be applied to manage and regulate virus-related lymphoma, interrupting its progression and forming a human-centered, comprehensive, continuous health service model. Based on this, a standardized, integrated clinical prevention and treatment decision-making model for virus-related lymphoma, recognized by both Chinese and western medicine, will be established to provide TCM solutions for primary prevention of major malignant tumors.
3.Study on the distribution of traditional Chinese medicine syndromes and syndrome elements in lymphoma and the correlation between syndromes and Western medicine clinical indicators
Hanjing LI ; Shunan LI ; Zewei ZHUO ; Shunyong WANG ; Qiangqiang ZHENG ; Bingyu HUANG ; Yupeng YANG ; Chenxi QIU ; Ningning CHEN ; Yanyan QIU ; He WANG ; Tingbo LIU ; Haiying FU
Journal of Beijing University of Traditional Chinese Medicine 2025;48(1):127-137
Objective:
To investigate the distribution of traditional Chinese medicine (TCM) syndromes and syndrome elements in lymphoma, as well as the correlation between TCM syndromes and Western clinical indicators, in order to analyze associations between TCM syndromes and these indicators.
Methods:
From January 2023 to May 2024, 216 patients with lymphoma who met the inclusion criteria in the Department of Hematology, Third People′s Hospital Affiliated to Fujian University of Traditional Chinese Medicine were enrolled. Four diagnostic methods were applied to perform TCM syndrome differentiation and extract syndrome elements. The correlations between various syndromes and blood test indicators of lactate dehydrogenase (LDH), β2-microglobulin (β2-MG), immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), white blood cell (WBC), hemoglobin (Hb), platelet count (PLT), neutrophil (NEUT), immunohistochemical markers of B-cell lymphoma-6 (BCL6), B-cell lymphoma-2 (BCL2), proto-oncogene MYC, and Ki67 protein expression, Ann Arbor staging, international prognostic index (IPI) score, bone marrow infiltration, concurrent infections during chemotherapy, and post-chemotherapy bone marrow suppression rate were analyzed.
Results:
Five TCM syndromes, ranked by frequency, were syndromes of yin deficiency with phlegm accumulation(41.67%), qi depression with phlegm obstruction(30.56%), cold-phlegm congelation and stagnation(12.96%), phlegm-blood stasis toxin(12.04%), and lingering pathogen due to deficient vital qi(2.77%). Yin deficiency(50.93%) and phlegm(45.37%) were the more prevalent syndrome elements. The TCM syndromes were correlated with β2-MG, PLT, MYC, BCL2/MYC, Ki67 protein expression, and bone marrow infiltration (P<0.05). No statistically significant differences were observed in Ann Arbor staging or IPI score across the syndromes. Compared to the syndrome of cold-phlegm congelation and stagnation, the syndrome of qi depression with phlegm obstruction exhibited higher levels of NEUT, MYC, BCL2/MYC, and Ki67 protein expression, as well as a higher rate of post-chemotherapy bone marrow suppression (P<0.05); the syndrome of phlegm-blood stasis toxin showed higher MYC and BCL2/MYC protein expression and a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05); the syndrome of yin deficiency with phlegm accumulation demonstrated higher MYC and BCL2/MYC protein expression and bone marrow infiltration rates, whereas PLT level was lower (P<0.05); the syndrome of lingering pathogen due to deficient vital qi had higher MYC, BCL2/MYC, and Ki67 protein expression levels, as well as a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05). Compared to the syndrome of qi depression with phlegm obstruction, the syndrome of phlegm-blood stasis toxin exhibited lower Ki67 protein expression (P<0.05); the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, bone marrow infiltration rate, and rate of concurrent infections during chemotherapy, whereas PLT and NEUT levels and the rate of post-chemotherapy bone marrow suppression rate were lower (P<0.05). Compared to the syndrome of phlegm-blood stasis toxin, the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, whereas NEUT and the rate of post-chemotherapy bone marrow suppression were lower(P<0.05); the syndrome of lingering pathogen due to deficient vital qi exhibited a higher Ki67 protein expression (P<0.05). Compared to the syndrome of yin deficiency with phlegm accumulation, the syndrome of lingering pathogen due to deficient vital qi also showed a higher Ki67 protein expression(P<0.05).
Conclusion
The syndrome of yin deficiency with phlegm accumulation is relatively common in lymphoma. There is a correlation between TCM syndromes and Western medicine clinical indicators. The presence of heat signs in the syndromes may indicate active disease and poor prognosis, while the presence of strong pathogenic factors and weak vital qi in the syndromes may indicate a severer chemotherapy-related bone marrow suppression.
4.Laser-assisted spatiotemporal control of Noxa expression in engineering bacteria for treating tumors.
Tingfang GAN ; Naiming ZHENG ; Huifeng LI ; Jinrui XU ; Ningning WU ; Lixin MA ; Yunhong HU
Chinese Journal of Biotechnology 2025;41(8):3199-3213
Bacterial therapy has attracted increasing attention due to its special mechanism and abundant applications. With the flourishing development of synthetic biology, therapeutic genes have been introduced into engineering bacteria to improve their antitumor efficacy. However, it is difficult to spatiotemporally control the expression of these therapeutic genes at the tumor site in vivo, thereby considerably limiting the application of engineered bacteria in tumor treatment. To resolve this problem, we constructed a temperature-responsive bacterial strain capable of triggering the expression of exogenous genes in a laser-controllable way. Noxa, a pro-apoptotic protein, is chosen to test the expression of exogenous protein and its anti-tumor effect in engineered bacteria upon laser irradiation. Firstly, Noxa was fused to the C-terminus of the bacterial outer membrane protein cytolysin A (ClyA), and then the recombinant gene fragment ClyA-Noxa was inserted into the temperature-sensitive plasmid pBV220 and the recombinant plasmid was transformed into non-pathogenic Escherichia coli MG1655. Thus, we constructed the engineering strain (TRB@Noxa) that could express Noxa on the bacterial surface. TRB@Noxa could target and colonize the tumor tissue without causing notable host toxicity. The bacterial infection triggered thrombosis in the tumor tissue, resulting in the darkness of tumor sites. In a xenograft mouse tumor model, our strategy demonstrated precise tumor targeting and strong tumor inhibition. In conclusion, we successfully constructed a new engineering bacterial strain TRB@Noxa. TRB@Noxa combined with photothermal therapy could arrest tumor growth in the absence of photosensitizers, which represents an appealing method for antitumor therapy in the future.
Escherichia coli/radiation effects*
;
Animals
;
Humans
;
Lasers
;
Mice
;
Proto-Oncogene Proteins c-bcl-2/biosynthesis*
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Neoplasms/therapy*
;
Genetic Engineering
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Cell Line, Tumor
;
Escherichia coli Proteins/genetics*
5.Machine learning-based characterization of dynamic brain functional network connectivity in patients with first-episode schizophrenia
Pei LIU ; Yangyang LIU ; Ningning DING ; Shuaiqi ZHANG ; Zixuan LIU ; Zhaoxi ZHONG ; Yuchun LI ; Haisan ZHANG
Chinese Journal of Psychiatry 2025;58(6):470-479
Objective:Using resting-state functional magnetic resonance imaging (rs-fMRI), we explored the changes in dynamic functional network connections (dFNC) in the brains of patients with first-episode schizophrenia (SZ) and evaluated the potential clinical value of dFNC changes in combination with a machine learning model.Methods:Clinical data of 50 patients with schizophrenia (schizophrenia group), 29 males and 21 females, aged 18-47 (28.3±7.2) years, who attended the psychiatric department of the Second Affiliated Hospital of Xinxiang Medical College from January 2022 to August 2023, were retrospectively included. In the same period, 50 healthy controls matched for age and education (healthy control group) were recruited, of which 24 were male and 26 were female, aged 18-48 (28.0±6.9) years. The rs-fMRI imaging data were acquired for each subject. The dFNC cluster analysis was performed based on independent component analysis, and the differences between groups with different state FNC matrices were statistically analyzed. The dataset samples were divided into a training set (35 SZ patients and 35 healthy controls) and a validation set (15 SZ patients and 15 healthy controls) in a 7∶3 ratio. A machine learning classification model was constructed based on the dFNC matri. The performance of the model for distinguishing between schizophrenia and healthy controls was assessed by five-fold cross-validation using accuracy (ACC), recall (REC), F1 score, and area under curve (AUC) metrics of the working characteristics of the subjects.Results:Five network functional connectivity states were obtained by dFNC cluster analysis. Patients with first SZ showed a wide range of high connectivity and low connectivity changes on the neural dynamic functional networks, as shown by increased dynamic connectivity within the visual network (VIS) in state 1 (weak connectivity); The dynamic connectivity between executive control network (ECN) and VIS, frontal parietal network (FPN) and VIS decreases at state 3 (strong connectivity); The dynamic connectivity between default mode network (DMN) and FPN, DMN and ventral attention network (VAN) decreases at state 4 (weak connectivity). The machine learning results show that the classification model constructed by the dFNC matrix combined with SVM in state 3 (strongly connected) in the validation set obtains the best classification results (ACC=0.938; REC=0.938; F1=0.937; AUC=0.984), and the overall average classification ACC of the five states reaches 0.751, and AUC reaches 0.784.Conclusion:Patients with first-episode SZ have some brain functional network connectivity abnormalities, and a machine learning model based on dFNC features has high classification performance in distinguishing first-episode SZ from HC.
6.Evaluation of stent effect display in lower extremity arterial occlusive disease based on energy spectrum CTA
Xin HUANG ; Ningning DING ; Li ZHOU ; Wenzhe ZHAO ; Daliang LI ; Zhe LIU ; Jian YANG ; Chao JIN
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(1):178-183
Objective To explore the clinical value of energy-spectrum CT single-energy imaging in enhancing the image quality and stent display of stent placement CT angiography(CTA)in lower extremity atherosclerotic occlusive disease.Methods Twenty patients[mean(65.61±9.65)years;male/female,16/4]who underwent stenting for chronic occlusive disease of the lower extremity arteries by lower extremity arterial energetic spectral CTA were retrospectively recruited at our hospital.The original images were reconstructed into seven sets of single energy(40-100 keV),120 kVp,virtual unenhanced images(VUE)and metal artifact reduction(MAR)technique images.Images were debossed and then scaffolded for display with volumetric reconstruction(VR),maximum density projection(MIP)and curve planar reconstruction(CPR),and were objectively and subjectively assessed and compared using one-way analysis of variance(ANOVA).Results The 80 keV and MAR images had the highest scores compared to the other reconstruction group images(P<0.01).Conclusion 80 keV single-energy imaging and de-metallization artifacts MAR improve the image quality of lower extremity arterial stent lumen and structure display;therefore,they have higher diagnostic value for clinicians.
7.Construction and validation of a risk prediction model for emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer
Xiaoyun ZHOU ; Minzhi HE ; Ningning ZHOU ; Qin XU ; Hong JIANG ; Xiaolian ZHOU ; Li NING
Chinese Journal of Nursing 2025;60(16):1989-1995
Objective To construct and verify a risk prediction model of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and to screen the optimal model by using machine learning algorithm,so as to provide references for clinical formulation of a nursing risk management plan.Methods The convenience sampling method was used to retrospectively select 476 patients who underwent thoracoscopic radical resection of lung cancer in a tertiary hospital in Hangzhou,Zhejiang Province from January to December 2023 as a construction group.Logistic regression,decision tree,random forest and naive Bayesian model were constructed by SPSS 29.0 and R 4.3.0 software.The prediction performance of each model was compared by accuracy,precision,recall,F1 score and area under the receiver operating characteristic curve,and the optimal model was screened.From January to June 2024,204 patients in the unit were prospectively selected as the research subjects of an external validation group.The discrimination and calibration of the optimal model were evaluated by AUC value and calibration curve.Results A total of 680 patients completed the survey.All 4 models showed that multimodal analgesia,thoracic drainage tube type,pain score,tracheal intubation type,state anxiety and catheter indwelling time were the influencing factors of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer(P<0.05).The 4 risk prediction models showed that the random forest prediction model had the best comprehensive performance.The external verification results showed that the AUC value was 0.913,and the calibration curve fitted well with the 45° ideal line.Conclusion Among the 4 risk prediction models,the random forest prediction model has the best performance,which is more suitable for the assessment of the risk of emergence agitation in patients undergoing thoracoscopic radical resection of lung cancer,and has good generalization and clinical application value.
8.Association of thoracic aortic calcification with autonomic nervous system function in patients undergoing peritoneal dialysis
Jing WANG ; Xinyi FU ; Yaoyu HUANG ; Yujun QIAN ; Hongqing CUI ; Li ZHANG ; Ningning WANG ; Haibin REN ; Hongwu CHEN ; Huijuan MAO
Chinese Journal of Nephrology 2025;41(5):332-340
Objective:To investigate the relationship between thoracic aortic calcification (TAC) and autonomic nervous system (ANS) function in patients receiving continuous ambulatory peritoneal dialysis (CAPD).Methods:It was a cross-sectional study. The CAPD patients with dialysis duration >6 months between January and December 2022 were retrospectively enrolled. The baseline clinical data, heart rate variability (HRV) data such as standard deviation of all normal to normal intervals (SDNN), root mean square of successive differences between adjacent normal-to-normal intervals (RMSSD), high frequency (HF), very low frequency (VLF), low frequency (LF), LF/HF, acceleration capacity (AC) and deceleration capacity (DC), and skin sympathetic nerve activity (SKNA) were collected. TAC was defined as TAC score (TACS) >100 AU. The patients were divided into TACS >100 AU group and TACS≤100 AU group based on whether the thoracic aorta was calcified. The differences of those data between the two groups were compared. Logistic regression model was used to analyze the related factors of TAC. Spearman correlation analysis method was used to analyze the correlation between peripheral blood neuropeptide Y, ANS parameters, average amplitude SKNA (aSKNA) and TACS. Cox regression model was used to analyze the risk factors of all-cause mortality in patients with CAPD.Results:The study included 106 CAPD patients with 50 males (47.2%), age of (46.04±11.10) years and dialysis duration of (41.55±30.52) months. TACS>100 AU group exhibited significantly lower heart rate ( t=2.015, P=0.046), DC ( t=2.131, P=0.035), LF/HF ( Z=3.332, P<0.001) and ln(LF/HF) ( t=3.326, P=0.001), and higher AC ( t=-2.392, P=0.019) than TACS≤100 AU group. Multivariate logistic regression analysis results showed that after adjusting for age and eosinophil count, lnVLF ( OR=0.66, 95% CI 0.45-0.98, P=0.038), lnLF ( OR=0.69, 95% CI 0.49-0.97, P=0.032), DC ( OR=0.79, 95% CI 0.64-0.99, P=0.039) and AC ( OR=1.32, 95% CI 1.04-1.68, P=0.021) were independently correlated with the risk of TAC. Spearman correlation analysis showed that neuropeptide Y level in peripheral blood was correlated with aSKNA ( r=0.23, P=0.017), lnSDNN ( r=-0.20, P=0.036) and TACS ( r=0.19, P=0.048). During the follow-up period of (25.8±4.2) months, 5 patients (4.72%) died, including 1 patient in the TACS≤100 AU group and 4 patients in the TACS>100 AU group. Compared with the survival group, the death group had higher TACS ( Z=-2.262, P=0.024) and lower LF/HF ( Z=-2.750, P=0.006). Cox regression analysis results showed that increased ln(LF/HF) was an independent influencing factor for all-cause mortality in CAPD patients ( HR=0.22, 95% CI 0.05-0.83, P=0.026). Conclusions:HRV parameters (lnVLF, lnLF, AC and DC) of CAPD patients are independently associated with TAC. The dysfunction of ANS in CAPD patients (especially the decreased vagus nerve activity) may promote TAC.
9.Analysis of 7 cases of childhood blastic plasmacytoid dendritic cell neoplasm
Ziqing FENG ; Chunju ZHOU ; Ningning ZHANG ; Ling JIN ; Jing YANG ; Shuang HUANG ; Meng ZHANG ; Nan LI ; Yanlong DUAN
Chinese Journal of Pediatrics 2025;63(11):1207-1211
Objective:To evaluate the clinical characteristics, pathology, treatment and prognosis of blastic plasmacytoid dendritic cell neoplasm (BPDCN) in children.Methods:Clinical data (including gender, age of disease onset, affected sites, treatment, timing of allogeneic hematopoietic stem cell transplantation (allo-HSCT), etc.) of 7 children with BPDCN who were admitted to Beijing Children′s Hospital, Capital Medical University from December 2018 to December 2023 were analyzed retrospectively. Clinical outcomes were also assessed, with patients followed up until December 2024.Results:Among 7 patients, there were 3 males and 4 females. Age at disease onset ranged from 3.2 to 12.9 years. Initial presentations included subcutaneous nodules in 5 cases, rash in 1 case, and ankle pain in 1 case. Extra-cutaneous involvement was seen in the bone marrow, lymph nodes, and central nervous system. Six patients received induction chemotherapy using a modified lymphoblastic lymphoma regimen, 1 patient received the high-risk protocol for pediatric lymphoblastic lymphoma/leukemia and salvage therapy regimens. Allo-HSCT was performed soon after chemotherapy remission. The time to bridge allo-HSCT was 3.5 to 6.5 months. The follow-up time was 1.6 to 6.0 years. Six patients were in disease-free survival, while 1 patient survived with disease after recurrence following transplantation.Conclusions:BPDCN is rare in children and presents diverse clinical manifestations, with skin involvement being the predominant feature. Early allo-HSCT following complete remission with chemotherapy can improve prognosis.
10.Indole-3-aldehyde-loaded inulin-based hydrogel for protection against radiation-induced intestinal injury
Tuo LI ; Feifei MA ; Jiebing GUAN ; Siyu XIE ; Ning WANG ; Ningning HE ; Huijuan SONG ; Jianguo LI ; Qiang LIU
Chinese Journal of Radiological Medicine and Protection 2025;45(5):408-415
Objective:To explore the protective effects and mechanisms of an indole-3-acetaldehyde (I3A)-loaded inulin-based hydrogel against radiation-induced intestinal injury.Methods:The gelation properties and injectability of the I3A-loaded inulin-based hydrogel were detected using a rheometer, and its biocompatibility was assessed via a CCK-8 assay. Eighteen C57BL/6 mice (aged: 6-8 weeks) were stratified by body weight and randomly assigned into three groups with 6 mice in each group: blank control, irradiation-only, and irradiation+ hydrogel protection. Abdominal irradiation was administered using 137Cs γ-rays at 17 Gy. The irradiation+ hydrogel protection group received 200 μl/day of I3A-loaded inulin-based hydrogel for two days before and 2-3 days after irradiation. Meanwhile, the irradiation-only group was treated with an equivalent volume of sterile water via gavage. The mice were euthanized four days post-irradiation, and their intestinal tissues were harvested. Hematoxylin-eosin (HE) staining, Ki67 immunohistochemistry, and TUNEL immunofluorescence were performed to assess histopathological damage, epithelial cell proliferation, and apoptosis, respectively. Quantitative real-time PCR (qRT-PCR) was employed to measure mRNA levels of inflammatory and antioxidant factors. Gut microbiota composition was analyzed via 16S rRNA sequencing. Results:The test results of the rheometer confirmed successful hydrogel formation. CCK-8 assays demonstrated excellent biocompatibility. Compared with the irradiation-only group, the irradiation+ hydrogel protection group exhibited preserved intestinal histoarchitecture, a 1.5-fold increase in intestinal cell proliferation ( t = 8.35, P < 0.05), and a 2-fold reduction in radiation-induced apoptosis ( t = 7.94, P < 0.05). Moreover, the hydrogel group showed significantly elevated expression of the anti-inflammatory cytokine IL-10 and antioxidant factors NRF-2 and HO-1 ( t = 3.16, 24.83, 5.92, P < 0.05), alongside reduced levels of pro-inflammatory cytokines IL-1β, IL-6, and TNF-α ( t = 5.15, 3.82, 3.83, P < 0.05). Gut microbiota analysis revealed significant modulation in microbial composition and abundance in the hydrogel group. Conclusions:The I3A-loaded inulin-based hydrogel can significantly promote intestinal cell proliferation, reduce radiation-induced apoptosis, and enhance both anti-inflammatory and antioxidant responses. In addition, it regulates gut microbiota composition and abundance, protecting against radiation-induced intestinal injury.


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