1.Effects of Tiaoshu Anshen acupuncture on sleep quality and serum neurotransmitter levels in patients with chronic insomnia.
Lian LIU ; Tianya YAN ; Zhuangzhi CHEN ; Zhen KANG ; Mengyao LI ; Qiongjue GAO ; Zuoai QIN ; Yecheng WEN ; Weiai LIU ; Zhongying FU
Chinese Acupuncture & Moxibustion 2025;45(2):151-155
OBJECTIVE:
To observe the effects of Tiaoshu Anshen (regulating the hinge and calming the mind) acupuncture on sleep quality and serum levels of 5-hydroxytryptamine (5-HT) and dopamine (DA) in patients with chronic insomnia.
METHODS:
A total of 58 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 29 cases in each group. Tiaoshu Anshen acupuncture was applied at Baihui (GV20) and bilateral Shenmen (HT7), Sanyinjiao (SP6), Benshen (GB13) in the acupuncture group, once a day, 1-day interval was taken after 6 consecutive days of treatment. Estazolam tablet was given orally before bed in the medication group, 1 mg each time. The 4-week treatment was required in both groups. Before and after treatment, the sleep quality was assessed by Pittsburgh sleep quality index (PSQI) and polysomnography (PSG), the serum levels of 5-HT and DA were detected by ELISA.
RESULTS:
After treatment, the item scores and total scores of PSQI were decreased compared with those before treatment in the two groups (P<0.05); in the acupuncture group, the scores of sleep quality, sleep latency, sleep time, sleep efficiency, sleep disorders and total score of PSQI were lower than those in the medication group (P<0.05). After treatment, the total sleep time (TST) was prolonged (P<0.05), the sleep latency (SL) and wake after sleep onset (WASO) were shortened (P<0.05), the sleep efficiency (SE%), percentage of non-rapid eye movement stage 3 (N3%), percentage of rapid eye movement stage (REM%) and serum levels of 5-HT were increased (P<0.05) compared with those before treatment; the percentage of non-rapid eye movement stage 1 (N1%), percentage of non-rapid eye movement stage 2 (N2%) and serum levels of DA were decreased (P<0.05) compared with those before treatment in the two groups. After treatment, in the acupuncture group, TST was longer, while SL and WASO were shorter than those in the medication group (P<0.05), SE%, N3%, REM% and serum level of 5-HT were higher, while N1%, N2% and serum level of DA were lower than those in the medication group (P<0.05).
CONCLUSION
Tiaoshu Anshen acupuncture may improve the sleep quality by regulating the serum neurotransmitter levels i.e. 5-HT and DA in patients with chronic insomnia.
Humans
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Sleep Initiation and Maintenance Disorders/physiopathology*
;
Male
;
Acupuncture Therapy
;
Female
;
Middle Aged
;
Adult
;
Serotonin/blood*
;
Sleep Quality
;
Acupuncture Points
;
Dopamine/blood*
;
Aged
;
Neurotransmitter Agents/blood*
;
Young Adult
2.Clinical sub-phenotypes of acute kidney injury in children and their association with prognosis.
Lian FENG ; Min LI ; Zhen JIANG ; Jiao CHEN ; Zhen-Jiang BAI ; Xiao-Zhong LI ; Guo-Ping LU ; Yan-Hong LI
Chinese Journal of Contemporary Pediatrics 2025;27(1):47-54
OBJECTIVES:
To investigate the clinical sub-phenotype (SP) of pediatric acute kidney injury (AKI) and their association with clinical outcomes.
METHODS:
General status and initial values of laboratory markers within 24 hours after admission to the pediatric intensive care unit (PICU) were recorded for children with AKI in the derivation cohort (n=650) and the validation cohort (n=177). In the derivation cohort, a least absolute shrinkage and selection operator (LASSO) regression analysis was used to identify death-related indicators, and a two-step cluster analysis was employed to obtain the clinical SP of AKI. A logistic regression analysis was used to develop a parsimonious classifier model with simplified metrics, and the area under the curve (AUC) was used to assess the value of this model. This model was then applied to the validation cohort and the combined derivation and validation cohort. The association between SPs and clinical outcomes was analyzed with all children with AKI as subjects.
RESULTS:
In the derivation cohort, two clinical SPs of AKI (SP1 and SP2) were identified by the two-step cluster analysis using the 20 variables screened by LASSO regression, namely SPd1 group (n=536) and SPd2 group (n=114). The simplified classifier model containing eight variables (P<0.05) had an AUC of 0.965 in identifying the two clinical SPs of AKI (P<0.001). The validation cohort was clustered into SPv1 group (n=156) and SPv2 group (n=21), and the combined derivation and validation cohort was clustered into SP1 group (n=694) and SP2 group (n=133). After adjustment for confounding factors, compared with the SP1 group, the SP2 group had significantly higher incidence rates of multiple organ dysfunction syndrome and death during the PICU stay (P<0.001), and SP2 was significantly associated with the risk of death within 28 days after admission to the PICU (P<0.001).
CONCLUSIONS
This study establishes a parsimonious classifier model and identifies two clinical SPs of AKI with different clinical features and outcomes.The SP2 group has more severe disease and worse clinical prognosis.
Humans
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Acute Kidney Injury/diagnosis*
;
Prognosis
;
Male
;
Female
;
Child
;
Child, Preschool
;
Phenotype
;
Infant
;
Logistic Models
;
Adolescent
3.Enzyme-directed Immobilization Strategies for Biosensor Applications
Xing-Bao WANG ; Yao-Hong MA ; Yun-Long XUE ; Xiao-Zhen HUANG ; Yue SHAO ; Yi YU ; Bing-Lian WANG ; Qing-Ai LIU ; Li-He ZHANG ; Wei-Li GONG
Progress in Biochemistry and Biophysics 2025;52(2):374-394
Immobilized enzyme-based enzyme electrode biosensors, characterized by high sensitivity and efficiency, strong specificity, and compact size, demonstrate broad application prospects in life science research, disease diagnosis and monitoring, etc. Immobilization of enzyme is a critical step in determining the performance (stability, sensitivity, and reproducibility) of the biosensors. Random immobilization (physical adsorption, covalent cross-linking, etc.) can easily bring about problems, such as decreased enzyme activity and relatively unstable immobilization. Whereas, directional immobilization utilizing amino acid residue mutation, affinity peptide fusion, or nucleotide-specific binding to restrict the orientation of the enzymes provides new possibilities to solve the problems caused by random immobilization. In this paper, the principles, advantages and disadvantages and the application progress of enzyme electrode biosensors of different directional immobilization strategies for enzyme molecular sensing elements by specific amino acids (lysine, histidine, cysteine, unnatural amino acid) with functional groups introduced based on site-specific mutation, affinity peptides (gold binding peptides, carbon binding peptides, carbohydrate binding domains) fused through genetic engineering, and specific binding between nucleotides and target enzymes (proteins) were reviewed, and the application fields, advantages and limitations of various immobilized enzyme interface characterization techniques were discussed, hoping to provide theoretical and technical guidance for the creation of high-performance enzyme sensing elements and the manufacture of enzyme electrode sensors.
4.Predictive model for intra-abdominal pressure in critically ill patients based on multiple regression and variational auto-encoders
Yi ZHANG ; Zhi-qin ZHU ; Wen-lin LI ; Dong-chu ZHAO ; Chang LIU ; Zhi-wei FAN ; Zhen WANG ; Lian-yang ZHANG ; Hao TANG
Chinese Medical Equipment Journal 2025;46(11):10-17
Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.
5.Predictive model for intra-abdominal pressure in critically ill patients based on multiple regression and variational auto-encoders
Yi ZHANG ; Zhi-qin ZHU ; Wen-lin LI ; Dong-chu ZHAO ; Chang LIU ; Zhi-wei FAN ; Zhen WANG ; Lian-yang ZHANG ; Hao TANG
Chinese Medical Equipment Journal 2025;46(11):10-17
Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.
6.Evidence-Based Dampness-Heat ZHENG (Syndrome) in Cancer: Current Progress toward Establishing Relevant Animal Model with Pancreatic Tumor.
Ju-Ying JIAO ; Chien-Shan CHENG ; Zhang-Qi CAO ; Lian-Yu CHEN ; Zhen CHEN
Chinese journal of integrative medicine 2024;30(1):85-95
Cancer is one of the deadliest diseases affecting the health of human beings. With limited therapeutic options available, complementary and alternative medicine has been widely adopted in cancer management and is increasingly becoming accepted by both patients and healthcare workers alike. Chinese medicine characterized by its unique diagnostic and treatment system is the most widely applied complementary and alternative medicine. It emphasizes symptoms and ZHENG (syndrome)-based treatment combined with contemporary disease diagnosis and further stratifies patients into individualized medicine subgroups. As a representative cancer with the highest degree of malignancy, pancreatic cancer is traditionally classified into the "amassment and accumulation". Emerging perspectives define the core pathogenesis of pancreatic cancer as "dampness-heat" and the respective treatment "clearing heat and resolving dampness" has been demonstrated to prolong survival in pancreatic cancer patients, as has been observed in many other cancers. This clinical advantage encourages an exploration of the essence of dampness-heat ZHENG (DHZ) in cancer and investigation into underlying mechanisms of action of herbal formulations against dampness-heat. However, at present, there is a lack of understanding of the molecular characteristics of DHZ in cancer and no standardized and widely accepted animal model to study this core syndrome in vivo. The shortage of animal models limits the ability to uncover the antitumor mechanisms of herbal medicines and to assess the safety profile of the natural products derived from them. This review summarizes the current research on DHZ in cancer in terms of the clinical aspects, molecular landscape, and animal models. This study aims to provide comprehensive insight that can be used for the establishment of a future standardized ZHENG-based cancer animal model.
Animals
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Humans
;
Medicine, Chinese Traditional
;
Hot Temperature
;
Pancreatic Neoplasms/therapy*
;
Models, Animal
;
Syndrome
7.Analysis of phenotype formation mechanism of a new variety of Lonicera japonica Flos "Huajin 6" at long bud stage
Run-zhu LI ; Cong-lian LIANG ; Zhen-hua LIU ; Jia LI ; Yong-qing ZHANG ; Hai-yan LIU ; Gao-bin PU
Acta Pharmaceutica Sinica 2024;59(2):476-481
Based on the long bud stage phenotype of a new
8.Analysis of nasal soft tissue deformation and optimization of mechanical stretch therapy for nasal contracture deformity based on three-dimensional finite element model
Yiming WANG ; Yang AN ; Lian LIU ; Chong ZHANG ; Aoxuan ZHU ; Wei LIANG ; Meng HAN ; Guanhuier WANG ; Yonghuan ZHEN
Chinese Journal of Plastic Surgery 2024;40(8):819-828
Objective:To establish a three-dimensional finite element model of the nose, simulate and analyze the deformation of nasal tissue caused by different focal points, traction directions, and modes, provide the theoretical basis for the effectiveness of physical traction therapy, and guide the clinical selection of more efficient physical traction therapy methods.Methods:A finite element model of the nose was established by ANSYS Workbench 19.2 software based on image data obtained from CT scans of a 29-year-old male volunteer with normal nasal appearance in Peking University Third Hospital. Two focal points, the nasal tip, and the nasal columella, were selected, and three force directions, parallel to the forward, forward and down 30°, forward and down 60°, were applied. The deformation caused by different traction conditions on the skin, lining, and soft bone parts, as well as the four anatomical landmarks of the nasal tip, nasal root, the midpoint of the nasal columella, and the nasal base, were compared. The deformation produced by 10 minutes of continuous pulling and 10 times 1-minute pulse pulling were compared under the same pulling conditions. The deformations generated by two types of pulling modes within a 24-hour cycle: a single 1-hour cycle and 6 intermittent 10-minute cycles, were compared.Results:All traction conditions resulted in deformation of the nasal model, with the maximum deformation of the nasal tissue obtained by pulling forward and downward at 60° (4.632 9 mm) which was greater than other traction conditions (0.825 0-3.105 0 mm). The maximum deformation value was located near the nasion of the model’s skin layer. The deformation obtained by 10 minutes of continuous pulling (0.176 6 mm) was slightly greater than that obtained by 10 times of 1-minute pulse pulling (0.176 5 mm). Within 24 hours, the final deformation of multiple intermittent pulling modes (0.019 0 mm) was greater than that of a single pulling mode (0.004 3 mm).Conclusion:Physical traction can effectively deform the skin and soft tissue of the nose, and the most efficient operation is to continuously pinch the tip of the nose for a short period and apply tension parallel to the back of the nose downwards, repeating every a few hours.
9.Honokiol,an SIRT3 activator,alleviates postoperative cognitive dysfunc-tion via inhibiting hippocampal neuronal ferroptosis in mice
Tao HUANG ; Tiantian HAN ; Qianqian XU ; Zhen ZHANG ; Pengchao HU ; Xudong DING ; Huiyu LUO ; Lian ZENG
Chinese Journal of Pathophysiology 2024;40(5):827-835
AIM:To investigate the impact of honokiol(HKL),an activator of silent information regulator 3(SIRT3),on postoperative cognitive dysfunction(POCD)in mice,and to explore the potential mechanisms.METHODS:Ten-month-old male C57/BL6 mice were randomly divided into control(Con)group,surgical(Sur)group and Sur+HKL group(n=10).The mice in Sur+HKL group were intraperitoneally injected with HKL for 7 d before modeling.The mice in Sur and Sur+HKL groups underwent tibial fracture open reduction and internal fixation to establish the POCD model.The assessment of cognitive function was conducted using the open-field test(OFT),novel object recognition test(NORT),Morris water maze test(MWMT),and Y-maze test(YMT).Nissl staining was employed to assess the morphology,struc-ture and vitality of hippocampal and cortical neurons in mice.The protein expression of glutathione peroxidase 4(GPX4),solute carrier family 7 member 11(SLC7A11),acyl coenzyme A synthetase long-chain family member 4(ACSL4),SIRT3 and nuclear factor E2-related factor 2(NRF2)in the mouse hippocampus was detected by Western blot,while im-munofluorescence staining was utilized to determine GPX4 level in mouse neurons.RESULTS:No statistically signifi-cant differences were observed among the groups in terms of total distance moved and central zone exploration during the OFT(P>0.05).However,the results from the NORT and YMT indicated that the mice in Sur group exhibited significant-ly lower recognition indexes,reduced alternation rates(P<0.01),and decreased percentages of entries and crossing time into the new arm after side arm blockade(P<0.01),when compared with Con group.Furthermore,the mice in Sur group demonstrated a slower decrease in latency during the learning period of MWMT,while significantly lower latency,fewer crossing number and lower percentage of time in the target quadrant were observed during the testing period of MWMT(P<0.01).The above indicators were obviously enhanced in Sur+HKL group compared with Sur group(P<0.01).The results of Nissl staining indicated lighter neuronal staining in the hippocampal CA1 region and medial prefrontal cortex in Sur group,accompanied by a significant reduction in the number of Nissl-stained positive neurons(P<0.01).Notably,HKL pretreatment demonstrated a significant improvement in neuronal vitality.Analysis of Western blot revealed that compared with Con group,the expression of SIRT3,GPX4,SLC7A11 and NRF2 in Sur group was significantly reduced,while the expression of ACSL4 was significantly increased(P<0.05).However,these alterations were reversed after treatment with HKL(P<0.05).Immunofluorescence staining of hippocampal neurons corroborated the findings from Western blot analy-sis,demonstrating a notable decrease in GPX4 expression in hippocampal neurons of Sur group,which was significantly restored after HKL pretreatment(P<0.01).CONCLUSION:Treatment with HKL attenuates POCD in mice,potentially through its inhibitory effect on hippocampal neuronal ferroptosis.
10.Clinical study of sacubitril valsartan sodium combined with Wenxin granule in the treatment of hyper-tension complicated with paroxysmal atrial fibrillation
Yong HOU ; Lian-Fa WANG ; Hong-Tao LU ; Zhen CHEN ; Meng-Xun HUANG ; Chen CHEN ; Bang-Zhu ZHANG ; Quan-Xiu TONG ; Yun-Fei WANG
Chinese Journal of cardiovascular Rehabilitation Medicine 2024;33(1):40-44
Objective:To explore therapeutic effect of sacubitril valsartan sodium combined with Wenxin granule in the treatment of hypertension complicated with paroxysmal atrial fibrillation(AF)and its effect on cardiac electro-physiological structure.Methods:A total of 116 patients with hypertension and paroxysmal atrial fibrillation treated in our hospital from Oct 2021 to Nov 2022 were consecutively selected.According to random number table,they were divided into Wenxin granule group(received Wenxin granule treatment based on routine antihypertensive ther-apy)and combined treatment group(received sacubitril valsartan sodium combined Wenxin granule therapy based on routine antihypertensive therapy)with 58 cases in each group,and both groups were consecutively treated for six months.Clinical symptom score,AF burden,P wave duration,P wave dispersion,left atrial diameter(LAD),left ventricular end-diastolic diameter(LVEDd)and left ventricular ejection fraction(LVEF)were compared between two groups before and after treatment.Results:After treatment,compared with Wenxin granule group,there were significant reductions in clinical symptom score[(1.66±0.69)scores vs.(1.40±0.53)scores],AF burden[4.43(1.65)%vs.1.62(3.50)%],P wave duration[(112.17±6.46)ms vs.(109.29±8.59)ms],P wave dispersion[(32.47±8.11)ms vs.(29.02±7.49)ms]and LAD[(34.83±3.41)mm vs.(33.40±3.74)mm]in combined treatment group(P<0.05 or<0.01).There were no significant difference in LVEDd and LVEF between two groups,P>0.05 both.Conclusion:Sacubitril valsartan sodium combined with Wenxin granule can significantly im-prove clinical symptoms and atrial fibrillation burden,reduce the susceptibility to atrial fibrillation,and inhibit atrial electrical remodeling and structural remodeling in patients with hypertension complicated with paroxysmal atrial fi-brillation.

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