1.Discussion on the Treatment of Insomnia from Liver Based on the Theory "Liver Governs Wei Qi (Defensive Qi)"
Zirong LI ; Miaoran WANG ; Yufei WU ; Tian NI ; Xianbei WANG ; Hongjin DU ; Jiwei ZHANG ; Qiuyan LI
Journal of Traditional Chinese Medicine 2025;66(4):411-415
Psychological factors have become significant contributors to the onset and progression of insomnia. This article explored the treatment of insomnia from the perspective of “liver governs wei qi (defensive qi)”. The concept of “liver governs wei qi (defensive qi)” is summarized in three aspects, firstly, the liver assists the spleen and stomach in transformation and transportation, governing the generation of wei qi; secondly, the liver aids lung qi diffusion and dispersion, governing the distribution of wei qi; thirdly, the liver regulates circadian rhythms, governing the circulation of wei qi. It is proposed that the clinical treatment of insomnia should focus on the following methods: for regulating the liver to harmonize the five viscera, and facilitate the circulation of wei qi, medicinals entering the liver channel include Chaihu (Bupleuri radix), Baishao (Paeoniae Radix Alba), Zhizi (Gardeniae Fructus), and Suanzaoren (Ziziphi Spinosae Semen) could be commonly used; for nourishing the liver, the treatment should align with the day-night rhythm, and herbs such as Baihe (Lilium), Hehuan (Albizia julibrissin), and Yejiaoteng (Polygoni multiflori caulis) are commonly used; for soothing the liver and address both mental and physical health to calm wei qi, treatment should advocate verbal counseling, psychological regulation, and health education. Ultimately, this treatment approach can free liver qi to flow, soothe qi movement, restore the motion of wei qi, regulate during day and night, balance yin and yang, and resolve insomnia effectively.
2.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
3.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
4.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
5.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
6.Clinicopathological characteristics and prognosis of papillary renal neoplasm with reverse polarity
Zhuolong WU ; Zaoyu WANG ; Qiong CHEN ; Wen KONG ; Jiwei HUANG ; Jin ZHANG ; Yonghui CHEN ; Yiran HUANG ; Wei XUE
Chinese Journal of Urology 2024;45(3):175-179
Objective:To summarize the clinical and pathological characteristics, treatment methods, and prognosis of papillary renal neoplasm with reverse polarity (PRNRP).Methods:The clinical and pathological data of six pathologically confirmed PRNRP patients admitted to Renji Hospital affiliated with Shanghai Jiaotong University School of Medicine from August 2022 to August 2023 were retrospectively analyzed. Among them, three were male and three were female, with an average age of (55.3±10.5) years old. All six cases were incidentally discovered during health examinations. Preoperative contrast-enhanced CT scans showed tumors with cortical phase manifestations of uneven enhancement, avascularity, and indistinct borders, with CT values of (85.6±18.7) HU. In the corticomedullary phase, the CT values showed mild elevation, with an average of (94.3±4.7) HU. In the delayed phase, the tumor boundaries were clear, and the enhancement degree was significantly lower than that of the surrounding renal cortex and medulla, with a tumor CT value of (86.3±11.9) HU. The pseudocapsule of the tumor was not clearly displayed on contrast-enhanced CT scans. All cases underwent partial nephrectomy, including two cases of robot-assisted laparoscopic partial nephrectomy and four cases of laparoscopic partial nephrectomy.Results:Postoperative pathological measurements revealed a maximum tumor diameter ranging from 6 to 15 mm, with an average diameter of (11.0±3.5) mm. All six cases were classified as pT 1aN 0M 0 stage. Microscopically, the tumors exhibited branching papillary structures with eosinophilic cytoplasm, and the tumor cells displayed low-grade nuclei located at the top of the cytoplasm and away from the basal membrane. Immunohistochemical analysis showed diffuse strong positivity for GATA3 and CK7, while CA-Ⅸ expression was negative. The median follow-up time after surgery was 10(9, 13) months, and no tumor recurrence or metastasis was observed. Conclusions:PRNRP is a rare, low-grade malignant papillary renal tumor. Contrast-enhanced CT scan has characteristic features of avascularity. Pathological morphological features are low-grade nuclei located at the top of the cytoplasm and far away from the basal membrane, forming a "reverse polarity". The immunophenotype shows positive expression of GATA3 and CK7. Partial nephrectomy is the recommended treatment approach, and the postoperative prognosis is favorable.
7.Acupuncture compound anesthesia for traditional thyroidectomy:a systematic review and meta-analysis
Zhe YE ; Dongcai WANG ; Haibin WU ; Jiwei LIN ; Jicheng SHU
Journal of Acupuncture and Tuina Science 2023;21(6):500-511
Objective:To assess the efficacy and safety of acupuncture compound anesthesia(ACA)for traditional thyroidectomy. Methods:Randomized controlled trials(RCTs)studying the use of ACA for traditional thyroidectomy were retrieved from PubMed,Excerpta Medica Database(EMBASE),Cochrane Library,Web of Science,China National Knowledge Infrastructure(CNKI),Chongqing VIP Database(CQVIP),Wanfang Academic Journal Full-text Database(Wanfang),and China Biology Medicine Disc(CBM)from inception to September 30,2021.Two investigators independently extracted data and assessed the risk of bias and quality of the studies.Anesthesia effectiveness was the primary outcome,while the secondary outcomes included various pain scales,vital signs,analgesic consumption,and adverse events.Review Manager 5.3 was used for meta-analysis.Weighted mean difference(WMD),standardized mean difference(SMD),and confidence interval(CI)were used for statistical descriptions. Results:A total of 16 papers were included,involving 1228 patients.Meta-analysis showed that anesthesia effectiveness was significantly improved after adding acupuncture as an adjunct[SMD=0.62,95%CI(0.40,0.83),P<0.0001,I2=36%].Besides,ACA can also moderate vital signs and reduce the feeling of pain[SMD=-1.61,95%CI(-2.61,-0.61),P<0.00001,I2=95%],analgesic consumption,and adverse events.Subgroup analysis of the electroacupuncture(EA)group further revealed that the effectiveness of low-frequency EA[WMD=0.43,95%CI(0.30,0.55),P<0.00001,I2=15%]and the entire operative stimulation of EA[WMD=0.55,95%CI(0.33,0.77),P<0.00001,I2=0%]was significantly better than high-frequency EA and short-time stimulation of EA during the operation.Further,no significant difference existed between conventional analgesia and acupuncture analgesia. Conclusion:ACA is beneficial to traditional thyroidectomy regarding efficacy and safety when acupuncture is applied as an adjunct.However,additional high-quality studies with larger sample sizes are needed to verify the findings.
8.Efficacy and safety of anlotinib combined with whole brain radiation therapy in treatment of driver gene mutation-negative non-small cell lung cancer patients with multiple brain metastases
Jie YANG ; Jianjiang LIU ; Jiwei MAO ; Dongping WU
Cancer Research and Clinic 2023;35(9):664-669
Objective:To investigate the efficacy and safety of anlotinib combined with whole brain radiation therapy in the treatment of driver gene mutation-negative non-small cell lung cancer (NSCLC) patients with multiple brain metastases.Methods:Forty-two driver gene mutation-negative NSCLC patients with multiple brain metastases who were admitted to Shaoxing People's Hospital from March 2018 to March 2022 were included. Among them, 21 patients in the anlotinib combined with whole brain radiation therapy group were enrolled from a prospective single-arm study (clinical trial registration number: ChiCTR1900027769), and the patients in the whole brain radiation therapy-alone group were enrolled from a concurrent retrospective study, and after 1∶1 propensity score matching, a total of 21 patients were finally included. The intracranial objective response rate (iORR), intracranial disease control rate (iDCR), intracranial progression-free survival (iPFS), overall survival (OS), and adverse events were compared between the two groups.Results:Among 21 patients in the arotinib combined with whole brain radiation therapy group, there were 1 case (4.8%) of complete remission (CR), 13 cases (61.9%) of partial remission (PR), 6 cases (28.6%) of stable disease (SD), and 1 case (4.8%) of progressive disease (PD). Among 21 patients in the whole brain radiation therapy-alone group, there were 0 case of CR, 10 cases (47.6%) of PR, 7 cases (33.3%) of SD, and 4 cases (19.0%) of PD. The iORR was 66.7% (14/21) and 47.6% (10/21) in the anlotinib combined with whole brain radiation therapy group and whole brain radiation therapy-alone group, respectively ( P = 0.212), and the iDCR was 95.2% (20/21) and 81.0% (17/21), respectively ( P = 0.343). The median iPFS time was 10.4 and 5.3 months in the anrotinib combined with whole brain radiation therapy group and the whole brain radiation therapy-alone group, respectively, and the difference in iPFS between the two groups was statistically significant ( P = 0.049); the 1-year OS rate was 50.5% and 39.5%, and the 2-year OS rate was 29.9% and 26.3%, respectively, with the median OS time of 13.4 and 6.6 months, respectively. The difference in OS between the two groups was not statistically significant ( P = 0.452). The most common treatment-related adverse effects in the anlotinib combined with whole brain radiation therapy group were loss of appetite (13/21, 61.9%), hypertension (11/21, 52.4%), fatigue (10/21, 47.6%), diarrhea (6/21, 28.6%), vomiting (6/21, 28.6%), dizziness (9/21, 42.9%), and headache (8/21, 38.1%). No ≥grade 4 adverse effects were observed, and there were no significant differences in adverse effects between the two groups (all P > 0.05). Conclusions:Anlotinib combined with whole brain radiation therapy can prolong the iPFS time of driver gene mutation-negative NSCLC patients with multiple brain metastases, and it is well-tolerated in terms of safety.
9.Application of immunonutrition in the perioperative period of gastrointestinal malignancies
Yong HUANG ; Li YANG ; Lan SHUI ; Yin WU ; Jiwei WANG ; Ming XIE
Chinese Journal of Digestive Surgery 2023;22(8):1040-1046
The incidence of gastrointestinal malignancies is high in the population, and 40%?80% of gastrointestinal tumor patients suffer from malnutrition. The metabolic mechanism of tumor disease itself, and the perioperative stress reaction caused by surgical treatment can further aggravate malnutrition. Therefore, nutritional support should be routinely provided during the perioperative period in tumor patients with nutritional risk or malnutrition. For a long time, immunonutrients such as glutamine, ω-3 fatty acids, arginine and nucleotides have attracted much attention in the treatment of perioperative tumor patients. Most studies have shown that perioperative immunonutrition therapy not only improve nutritional deficiency and correct malnutrition, but also maintain immune function, reduce inflammation and maintain intestinal barrier integrity, to reduce postopera-tive complications and short postoperative duration of hospital stay. However, with the extensive clinical application and in-depth study of immunonutrition in recent years, there are still many doubts and controversies about its application in the perioperative gastrointestinal malignancies. The authors review the pharmacological mechanism and clinical application of perioperative immunonutrients, perioperative combined application of immunonutrients, and application timing and approach of immunonutrition in patients with gastrointestinal malignancies, so as to provide some clues for its subsequent clinical application.
10.Visualization analysis of bibliometrics for clinical researches on Wumei pill based on CiteSpace
Yanling CHEN ; Jiwei LIN ; Haibin WU ; Xiaorong SONG ; Bomin CHENG ; Dongcai WANG
International Journal of Traditional Chinese Medicine 2023;45(9):1162-1167
Objective:To summarize the clinical researches of Wumei Pill and provide reference for clinical application and follow-up research.Methods:The databases CNKI, VIP, Wanfang, CBM, PubMed, Embase were retrieved from the inception to June 30,2022. CiteSpace 6.1.R3 software was used to analyze the research hotspots and keywords in the literature. Using EndNote X9 software and Microsoft Office Excel 2013, we recorded and analyzed the published year, literature type, affiliated journal, disease treated, TCM syndrome type, single drug dose and treatment duration of the included articles.Results:212 articles were included. Diarrhea, gastritis, diabetes, insomnia were the research hotspots. The types of diseases treated by Wumei Pill mainly include digestive system, endocrine system and tumor, mainly for cold-heat syndrome and Jueyin syndrome. The average dosage of Mume Fructus was the largest, 21 g. The average treatment time was 5.78 weeks. Conclusion:At present, the overall clinical research of Wumei pill shows an increasing tendency, mainly involving gastrointestinal disease.

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