1.Analysis of components absorbed into blood and brain of Lithocarpus litseifolius leaves
Huan LIU ; Zirong YI ; Ting HUANG ; Xiuhong LIU ; Yunyao YE ; Yuming MA ; Mengqi HU ; Nan ZHANG ; Wenhao YANG ; Yang LIU ; Guopeng WANG
China Pharmacy 2026;37(7):889-894
OBJECTIVE To analyze the prototype components absorbed into blood and brain of Lithocarpus litseifolius leaves, so as to provide a reference for clarifying the pharmacological material basis of its prevention and treatment of central nervous system dis eases. METHODS The ethanol extract of L. litseifolius leaves, as well as the gastric lavage fluid and perfusion solution were prepared. Using rats as subjects, plasma samples of intestinal wall metabolism, intestinal flora metabolism and hepatic metabolism were prepared via in situ intestinal perfusion and closed intestinal loop method; while comprehensive metabolic plasma samples, brain tissue samples, and cerebrospinal fluid samples were collected after intragastric administration. UPLC-HRMS technology was utilized to analyze and identify chemical components and prototype components absorbed into blood and brain of L. litseifolius leaves. RESULTS A total of 66 chemical constituents were identified in L. litseifolius leaves, primarily consisting of flavonoids, organic acids, and others. A total of 16, 13, 11, and 5 prototype components were identified in intestinal wall metabolism, intestinal flora metabolism, hepatic metabolism, and comprehensive metabolic plasma samples, respectively. Additionally, 4 prototype components were detected in brain tissue and 9 in cerebrospinal fluid. Phloridzin, trilobatin, phloretin-2- O -malonyl hexoside, and phloretin were identified as common components across all sample types. CONCLUSIONS Prototype components absorbed into blood and brain of L. litseifolius leaves, such as phloridzin, trilobatin, phloretin, and other components may serve as the pharmacological material basis for their therapeutic effects on central nervous system diseases.
2.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
3.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
4.Staged Prevention and Treatment for Low Anterior Resection Syndrome Using Acupuncture
Ruotong CAO ; Mengqi WANG ; Xue CAO ; Yuning QIN ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(11):1157-1161
Low anterior resection syndrome (LARS) is a common complication of sphincter-preserving rectal cancer surgery, and its manifestations change dynamically at different stages. By analyzing and summarizing the clinical symptoms and pathomechanism evolution of LARS across different stages, this paper proposes a staged prevention and treatment strategy using acupuncture. During perioperative stage, the main principle is activating the transport function of the body, supplemented by regulating the mind, with the use of dredging the bowels as needed. During the stoma reversal stage, treatment focuses primarily on fortifying the spleen, with draining dampness as a supplementary method, to help consolidate the intestines. During the radiotherapy or chemotherapy stage, the main focus is reinfor-cing healthy qi, with reducing toxin as an adjunct, to achieve the effect of activating the transport of the pivot. During the survival management stage, treatment primarily focuses on tonifying the kidneys and secondarily on fortifying the spleen, with regulating the corporeal soul as the therapeutic emphasis. Acupoints are selected and combined in accordance with the treatment principles at each stage, and different stimulation methods such as electroacupuncture and moxibustion are applied. An analysis of the mechanisms underlying acupuncture for LARS is also provided, offering a theoretical basis and practical approach for the prevention and treatment of LARS with acupuncture.
5.Clinical effect of functional genomic analysis combined with individualized drug selection in treatment of autosomal dominant polycystic kidney disease with congenital hepatic fibrosis: A case report
Kaidi ZHU ; Jianzeng ZHANG ; Hongyi LI ; Mengqi YUAN ; Ziying ZHANG ; Zhe XU ; Hongling LIU ; Fusheng WANG ; Xuechun LU ; Lei SHI
Journal of Clinical Hepatology 2026;42(7):1670-1676
Autosomal dominant polycystic kidney disease (ADPKD) is a systemic hereditary renal disorder and can affect multiple organs, and congenital hepatic fibrosis is one of the manifestations of liver involvement and is an important complication of ADPKD. Symptomatic management is currently the main treatment method for this disease, and disease-specific drugs such as tolvaptan have limited indications and cannot correct the underlying genetic defect. This article reports a case of ADPKD with congenital hepatic fibrosis, and sirolimus was identified as the individualized treatment regimen based on peripheral blood functional genomic analysis and drug sensitivity prediction platform. The patient achieved significant improvements in symptoms and quality of life after treatment, with a stable kidney volume. This case shows that functional genomics has a potential value in guiding individualized treatment of rare genetic disorders, which provides new treatment ideas and practice paths for similar patients.
6.Discussion on the Prevention and Treatment of Endocrine Therapy Associated Osteoporosis in Breast Cancer Based on the Theory of"Liver and Kidney Sharing the Common Source"
Zishen LIU ; Yingying ZHENG ; Mengqi YUAN ; Ganlin ZHANG ; Guowang YANG
Journal of Guangzhou University of Traditional Chinese Medicine 2025;42(2):293-297
Endocrine therapy is mainly used as preoperative neoadjuvant therapy and postoperative adjuvant therapy for breast cancer patients and as salvage therapy for advanced breast cancer patients.Osteoporosis is the common adverse reaction of endocrine therapy for breast cancer,which seriously affects the quality of life of the patients.The theory of"liver and kidney sharing the common source"is closely related to the etiology,pathogenesis and therapeutic principle of osteoporosis.It is believed that the pathogenesis of endocrine therapy associated osteoporosis in breast cancer is most closely related to liver and kidney,and is characterized by deficiency in origin and excess in superficiality.Deficiency in origin manifests as deficiency of liver and kidney,and excess in superficiality manifests as blood stasis blocking collaterals.Chinese herbal medicine with the actions of nourishing liver and kidney can be used for interventions of various stages of endocrine therapy for breast cancer.In the stage of preoperative neoadjuvant therapy,Chinese herbal medicine intervention focuses on inhibiting cancer,so as to achieve synergistic anticancer actions with neoadjuvant therapy;the intervention can also be supplemented by medicine for supporting healthy qi with modified Liuwei Dihuang Pills,thus to reduce the incidence of adverse reactions.In the stage of postoperative adjuvant therapy,Chinese herbal medicine intervention focuses on supporting healthy qi,so as to promote the recovery of body functions and prevent the occurrence of osteoporosis,and modified treatment with Duhuo Jisheng Decoction or Zuogui Pills can be chosen.In the advanced stage of salvage treatment,Chinese herbal medicine intervention focuses on supporting healthy qi,and medicines for nourishing liver and kidney,strengthening muscles and bones,and activating qi and blood circulation to relieve pain can be chosen;in addition,medicinals with affinity to flesh and blood can be added to enhance the actions of nourishing liver and kidney.
7.Experience of LI Diangui in Treating Gastroesophageal Reflux Disease Based on the Theory of Turbidity-Toxin in Liver
Shiyue LIANG ; Mengqi GAO ; Yansheng LIU ; Minan BAI ; Yingying LOU ;
Journal of Traditional Chinese Medicine 2025;66(16):1640-1644
This paper summarized the clinical experience of Prof. LI Diangui in treating gastroesophageal reflux disease (GERD) based on the theory of turbidity-toxin in liver. It is believed that internal accumulation of turbidity-toxin and liver depression with stomach counterflow are the main pathogenesis of GERD, and thus the therapeutic methods of resolving turbidity and resolving toxins, regulating the liver and harmonizing the stomach are proposed. In clinical practice, GERD is divided into the early stage, middle stage and late stage. For the early stage, the modified Huazhuo Shugan Hewei Formula (化浊疏肝和胃方) is used to regulate qi and remove turbidity, soothe the liver and harmonize the stomach; for the middle stage, the modified Huazhuo Qingre Zhisuan Formula (化浊清热制酸方) is applied to clear heat, direct the turbid downward, and resolve toxins; for the late stage, the modified Yiwei Decoction (益胃汤) is adopted to replenish qi, nourish yin and simultaneously resolve turbidity-toxin. Throughout the treatment process, attention should be paid to protecting the spleen and stomach, and the medication could be modified according to changes of individual condition.
8.Characteristics of hospitalized injury cases in Huangpu District
MA Shuli ; DAI Ran ; YANG Chun ; HAO Xiaomeng ; LIU Jiacong ; WU Huaguo ; WU Mengqi
Journal of Preventive Medicine 2025;37(5):494-498,502
Objective:
To investigate the characteristics of hospitalized injury cases in Huangpu District, Guangzhou City in 2022, so as to provide evidence for optimizing injury prevention interventions.
Methods:
Data on hospitalized injury cases admitted between January to December 2022 were collected through the hospitalization registry system from 17 healthcare institutions in Huangpu District. The population distribution characteristics, causes of injury, injury sites, duration of hospital stay, and hospitalization costs were descriptively analyzed.
Results:
A total of 6 729 hospitalized injury cases were reported in Huangpu District in 2022, including 4 277 males and 2 452 females, with a male-to-female ratio of 1.74∶1. The average age was (49.57±19.82) years, with 2 064 cases (30.67%) aged 45 to <60 years and 1 921 cases (28.55%) aged ≥60 years. The median length of hospitalization was 9.00 (interquartile range, 11.00) days, with median hospitalization costs of 15 968.93 (interquartile range, 25 786.69) yuan. In the months of June to August, there were more cases of injury hospitalization,with 1 904 cases accounting for 28.30%. The top three causes of injury were falls (2 895 cases, 43.02%), transportation accidents (1 247 cases, 18.53%) and exposure to inanimate mechanical forces (1 104 cases, 16.41%). The top three injured sites were lower limb injuries (1 850 cases, 27.49%), upper limb injuries (1 596 cases, 23.72%) and other sites (1 178 cases, 17.51%). The three leading causes of injury with longest hospitalization duration were burns and scalds, transport accidents and falls, with the median duration being 12.00 (interquartile range, 8.00) days, 10.00 (interquartile range, 13.00) days and 10.00 (interquartile range, 11.00) days, respectively. The top three injury sites associated with the longest hospitalization duration were others, lower limb injuries, and head and neck injuries, with the median duration being 11.00 (interquartile range, 13.00) days, 11.00 (interquartile range, 11.00) days, and 10.00 (interquartile range, 12.00) days, respectively. The causes of injury associated with higher hospitalization costs were falls and transportation accidents, with the median hospitalization cost being 23 550.13 (interquartile range, 30 087.76) yuan for falls and 20 301.94 (interquartile range, 30 589.86) yuan for transportation accidents. The injury sites associated with higher hospitalization costs were lower limb injuries and upper limb injuries, with the median hospitalization cost being 24 257.32 (interquartile range, 34 145.54) yuan for lower limb injuries and 16 506.33 (interquartile range, 20 052.27) yuan for upper limb injuries.
Conclusions
In Huangpu District, hospitalized injury mainly occurred among males and individuals aged ≥45 years, with the higher incidence observed between June and August. Fall was the primary cause of injury, while lower limb injuries was the main injury sites. The injury resulted in substantially higher hospitalization costs.
9.Association of NLRP3 genetic variant rs10754555 with early-onset coronary artery disease.
Lingfeng ZHA ; Chengqi XU ; Mengqi WANG ; Shaofang NIE ; Miao YU ; Jiangtao DONG ; Qianwen CHEN ; Tian XIE ; Meilin LIU ; Fen YANG ; Zhengfeng ZHU ; Xin TU ; Qing K WANG ; Zhilei SHAN ; Xiang CHENG
Chinese Medical Journal 2025;138(21):2844-2846
10.Analysis and Policy Suggestions on the Charging Structure and Profits of Patients with Neck,Waist and Back Disease Based on Hedonic Model
Mengqi XIE ; Mei ZHANG ; Min LIU
Chinese Health Economics 2025;44(7):45-50
Objective:To analyze the hospitalization cost of 116 860 patients under DRG implementation,and explore the effect of charging structure on the profit and loss of cases,so as to provide suggestion for improving the medical insurance"item+disease group".Methods:Descriptive analysis,K-means clustering,and the Hedonic model.Results:(1)The average profit and loss of the cases was 83.12±883.175 yuan.The surplus group was 71 148 cases,accounting for 60.88%,while the loss group was 45 712 cases,accounting for 39.12%.(2)There are seven types of charging structures,and cases are mainly distributed in medium service low goods and low service low goods.The average surplus of low service low goods is the most.The cases of high service high goods had the largest average loss.(3)The Hedonic model shows that the key influencing factors of case profit and loss include the"service-commodity"fee structure,the number of days of hospitalization,whether the operation is performed or not,and the level of the hospital.Conclusion:(1)Systematically evaluate the risk effect of structural adjustment on the micro-allocation mechanism of medical insurance budget;(2)strengthen the monitoring of typical disease expenses/costs and the regular mining of collection and payment data;(3)promote the convergence of the"project+disease group/disease"collection and payment system and promote the reform of doctors'salaries;(4)expand the application scenarios of big data decision support in the regional medical and medical insurance economy.


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