1.Huanglian Jiedutang Improves Cognitive Impairment after Schemic Stroke by Regulating Neuron via NF-κB Signaling Pathway
Mengying SUN ; Lizhen WANG ; Tong LI ; Leilei WANG ; Shiyan JIA ; Tingting WANG ; Yanwen YANG ; Kaiqiang SI ; Youxiang CUI ; Zhilong LIU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(11):68-76
ObjectiveTo investigate the effects of Huanglian Jiedutang (HLJDT) on cognitive function in mice with ischemic stroke (IS) and to elucidate whether its neuroprotective effects are mediated by inhibition of the nuclear factor-κB (NF-κB) signaling pathway and subsequent suppression of NF-κB-regulated neuronal apoptosis. MethodsAn IS model was established using middle cerebral artery occlusion (MCAO). Sixty C57BL/6J mice were randomly assigned to five groups (n =12 per group), i.e., sham operation, model, HLJDT low-dose (3.9 g·kg-1·d-1), HLJDT high-dose (7.8 g·kg-1·d-1), and Ginkgo biloba extract (GBE, 31.2 mg·kg-1·d-1). Post-operatively, neurological deficit scores (Longa score), cerebral infarct volume assessed by 2,3,5-triphenyltetrazolium chloride (TTC) staining, and brain water content were evaluated. Learning and memory were assessed using new object recognition (NOR) and fear conditioning (FC) tests. Hippocampal pathology was examined via hematoxylin and eosin (HE) staining. Immunofluorescence detected expression of glial fibrillary acidic protein (GFAP, astrocyte marker), cellular oncogene Fos (c-Fos, neuronal activation marker), and glutamate decarboxylase 65 (GAD65). Western blot measured nuclear factor-κB inhibitor protein α (IκBα), phosphorylated IκBα (p-IκBα), NF-κB p65, phosphorylated NF-κB p65 (p-NF-κB p65), ionic calcium binding adapter molecule 1 (Iba-1), tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and apoptosis-related proteins, such as cleaved cysteinyl aspartate-specific protease 3 (Caspase-3), B-cell lymphoma 2 (Bcl-2), and Bcl-2-associated X protein (Bax). Real-time quantitative PCR (Real-time PCR) was used to assess mRNA levels of Iba-1, TNF-α, IL-1β, NF-κB p65, cleaved Caspase-3, Bax, and Bcl-2. ResultsCompared with the sham group, the model group exhibited significantly increased neurological deficit scores, brain water content, and cerebral infarct volume (P<0.01). Hippocampal CA1 neurons were disorganized, showing nuclear pyknosis and karyolysis. NOR exploration time and FC freezing time were significantly reduced (P<0.01). GFAP and c-Fos expression were increased, while GAD65 expression was decreased (P<0.01). Cleaved Caspase-3 and Bax were upregulated, Bcl-2 was downregulated, and the Bax/Bcl-2 ratio was elevated (P<0.01). Expression levels of p-IκBα, p-NF-κB p65, IL-1β, TNF-α, and Iba-1 were significantly increased (P<0.01). Compared with the model group, HLJDT high-dose, low-dose, and GBE groups showed significant improvements in all parameters (P<0.01). Among them, the HLJDT high-dose group showed the most pronounced neuronal structural recovery and superior performance in NOR and FC tests (P<0.01). In this group, GFAP and c-Fos decreased, GAD65 increased (P<0.01), apoptosis-related protein expression was reversed, and NF-κB signaling and related inflammatory factor expression were suppressed (P<0.01). ConclusionHLJDT ameliorates cognitive dysfunction in mice after IS, potentially by inhibiting the NF-κB signaling pathway, thereby reducing neuroinflammation and hippocampal neuronal apoptosis.
2.Development and evaluation of classification system for drug-related problems in China
Shuang ZOU ; Tingting LU ; Lei BAO ; Yun LIAO ; Ling LI ; Ping ZHANG
China Pharmacy 2026;37(3):371-376
OBJECTIVE To establish a Chinese drug-related problem (DRP) classification system applicable to pharmacist-led pharmaceutical care in China, providing pharmacists with an effective and practical tool for pharmaceutical care. METHODS A multi-stage process was employed to construct the DRP classification system, including literature review and analysis, comparison of existing classification systems, refinement of classification items and framework development, two rounds of standard case validation, expert discussion, and system revision. The Fleiss′ kappa test was used to calculate the consistency coefficient κ, assessing the reliability of pharmacists participating in evaluating the classification system. An electronic questionnaire comprising six items was employed to evaluate the system’s applicability. RESULTS The constructed Chinese DRP classification system comprised six sections [problem(including potential problems), DRP evaluation, cause (including possible causes of potential problems), intervention, acceptance of intervention and DRP status], with 24 primary codes and 96 secondary codes. In the first round of case validation, κ values exceeded 0.4 for all sections except “intervention” and “DRP status”. In the second round, κ values exceeded 0.4 for all sections. In the applicability evaluation of the classification system, positive ratings (“strongly agree” or “agree”) exceeded 85% for all items. Specifically, positive ratings for“the classification system can provide appropriate category selection”,“ the classification system is comprehensive”,“ the classification system is convenient to use” and “the classification system is highly satisfactory” exceeded 92%. CONCLUSIONS The Chinese DRP classification system developed demonstrates both high reliability and applicability, providing an effective and practical classification tool for pharmacists in China to conduct pharmaceutical care.
3.Clinical and epidemiological characteristics of human bocavirus in hospitalized children with acute lower respiratory tract infection at a hospital in Shanghai from 2021 to 2023
Shan ZHANG ; Yujuan HUANG ; Lei SHEN ; Li LIU ; Jie WANG ; Huilin ZHOU ; Leijun MENG ; Tingting CHEN
Shanghai Journal of Preventive Medicine 2026;38(3):193-198
ObjectiveTo investigate the epidemiological and clinical characteristics of human bocavirus (HBoV) in hospitalized children with acute lower respiratory tract infection (ALRTI) at a single-center children’s hospital in Shanghai, thereby providing evidence for the diagnosis, treatment, and prevention of HBoV infection. MethodsA retrospective study was conducted on 19 537 hospitalized children with ALRTI at Shanghai Children’s Hospital from January 2021 to December 2023. Multiplex polymerase chain reaction (PCR) combined with capillary electrophoresis was used to detect HBoV and 12 other common respiratory viruses /atypical pathogens. The positive detection rate, demographic characteristics (sex, age), temporal distribution (year, season) of HBoV, as well as the clinical characteristics of severe and non-severe pneumonia were analyzed. ResultsThe overall HBoV-positive rate was 2.57% (503/19 537), with 59.44% (299/503) being single infections and 40.56% (204/503) being co-infections. The positive detection rate was significantly higher in boys than that in girls (2.78% vs 2.33%, χ²=3.88, P=0.049). The highest infection rate was observed in toddlers, followed by infants (χ²=379.57, P<0.001). The positive rate peaked in 2021 and reached its lowest point in 2023 (χ²=45.49, P<0.001), with epidemics mainly prevalent in summer and autumn. The main clinical symptoms were cough (90.06%, 453/503), fever (75.94%, 382/503), and wheezing (39.96%, 201/503). Children with severe pneumonia showed a higher incidence of wheezing compared with the non-severe group (P<0.001), while underlying diseases and co-infections had no significant association with disease severity (P>0.05). ConclusionHBoV was an important pathogen of ALRTI in children, predominantly affecting infants and toddlers, with higher susceptibility in boys and seasonal peaks in autumn and summer. The main clinical manifestations included cough, fever, and wheezing, with wheezing being more prevalent in children with severe pneumonia.
4.Trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021
Shihong GUO ; Zhixiao LI ; Lihua HUANG ; Yuanfang SHI ; Na PAN ; Tingting MENG ; Leping FENG ; Cun GUO
Shanghai Journal of Preventive Medicine 2026;38(8):581-585
ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies
5.Association of different blood lipid components with the severity of hepatic steatosis in metabolic dysfunction-associated fatty liver disease
Jinjin LIU ; Xinyu ZHAO ; Yibin CHEN ; Dong XU ; Tingting XIAO ; Ying WANG ; Yuqing ZHAO ; Zhengzhao LU ; Cheng HUANG ; Xiaofei TONG ; Hong YOU ; Jingjie ZHAO
Journal of Clinical Hepatology 2026;42(9):2059-2066
ObjectiveTo clarify the independent and synergistic effects of dyslipidemia in the progression of hepatic steatosis in metabolic dysfunction-associated fatty liver disease (MAFLD). MethodsA total of 7 697 participants who underwent physical examination in Beijing Friendship Hospital, Capital Medical University, from January 2022 to December 2024 were enrolled, and finally 2 177 patients with MAFLD were enrolled as subjects. Transient elastography was used to quantify the severity of hepatic steatosis (grades S1-S3). The multivariable ordinal Logistic regression analysis was used to investigate the independent and synergistic associations of serum triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) with the severity of hepatic steatosis, and their interactions and potential nonlinear relationships with metabolic factors were also examined. One-way analysis of variance or Kruskal-Wallis H test was used for comparison of continuous data between groups, and chi-square test was used for comparison of categorical data between groups. ResultsAn increase in TG (odds ratio [OR]=1.77, 95% confidence interval [CI]: 1.48 — 2.10, P<0.001) and a reduction in HDL-C (OR=1.35, 95%CI: 1.11 — 1.65, P=0.003) were independently associated with a greater severity of hepatic steatosis, with the strongest association when both abnormalities coexisted (OR=2.40, 95%CI: 1.87 — 3.07, P<0.001). The dose-response relationship analysis further revealed a nonlinear threshold effect of TG on hepatic steatosis at the threshold of 1.51 mmol/L (Pnonlinearity=0.001), below which the severity of steatosis increased more rapidly with the increase in TG concentration (P=0.001). The subgroup analysis showed that the association between the reduction in HDL-C and the severity of steatosis was observed only in males, young adults (aged <45 years), and metabolically healthier subgroups (without diabetes, obesity, hyperuricemia or hypertension). Significant interactions were observed between the presence or absence of obesity and the abnormal levels of TG and HDL‑C (both Pinteraction<0.05). The association of the increase in LDL-C with steatosis was confined to specific subgroups (without obesity or hyperuricemia). ConclusionThe increase in TG and the reduction in HDL-C are independently associated with the severity of hepatic steatosis in MAFLD. The synergistic effect of blood lipids and their interactions with metabolic factors may further refine risk stratification, so as to provide a basis for precise management of MAFLD.
6.New insights into translational research in Alzheimer's disease guided by artificial intelligence, computational and systems biology.
Shulan JIANG ; Zixi TIAN ; Yuchen YANG ; Xiang LI ; Feiyan ZHOU ; Jianhua CHENG ; Jihui LYU ; Tingting GAO ; Ping ZHANG ; Hongbin HAN ; Zhiqian TONG
Acta Pharmaceutica Sinica B 2025;15(10):5099-5126
Alzheimer's disease (AD) is characterized by cognitive and functional deterioration, with pathological features such as amyloid-beta (Aβ) aggregates in the extracellular spaces of parenchymal neurons and intracellular neurofibrillary tangles formed by the hyperphosphorylation of tau protein. Despite a thorough investigation, current treatments targeting the reduction of Aβ production, promotion of its clearance, and inhibition of tau protein phosphorylation and aggregation have not met clinical expectations, posing a substantial obstacle in the development of drugs for AD. Recently, artificial intelligence (AI), computational biology (CB), and systems biology (SB) have emerged as promising methodologies in AD research. Their capacity to analyze extensive and varied datasets facilitates the identification of intricate patterns, thereby enriching our comprehension of AD pathology. This paper provides a comprehensive examination of the utilization of AI, CB, and SB in the diagnosis of AD, including the use of imaging omics for early detection, drug discovery methods such as lecanemab, and complementary therapies like phototherapy. This review offers novel perspectives and potential avenues for further research in the realm of translational AD studies.
7.Accurate Machine Learning-based Monitoring of Anesthesia Depth with EEG Recording.
Zhiyi TU ; Yuehan ZHANG ; Xueyang LV ; Yanyan WANG ; Tingting ZHANG ; Juan WANG ; Xinren YU ; Pei CHEN ; Suocheng PANG ; Shengtian LI ; Xiongjie YU ; Xuan ZHAO
Neuroscience Bulletin 2025;41(3):449-460
General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals
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Machine Learning
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Electroencephalography/methods*
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Ketamine/administration & dosage*
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Rats
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Male
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Propofol/administration & dosage*
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Rats, Sprague-Dawley
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Anesthesia, General/methods*
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Brain/physiology*
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Intraoperative Neurophysiological Monitoring/methods*
8.Research progress on the definition of multimorbidity and the design of conceptual frameworks
SHI Shang, TAO Shuman, TONG Haojie, LI Tingting, TAO Fangbiao
Chinese Journal of School Health 2025;46(2):295-299
Abstract
The issue of multimorbidity in children and adolescents is becoming increasingly prominent, but there is no consensus on the definition of multimorbidity. As research deepens, issues related to the comparability and standardization of relevant findings are gradually emerging. As a solution, a systematic review of both domestic and international research on multimorbidity is conducted, and a classification system for defining the concept of multimorbidity is proposed, offering more convenient conditions for the advancement of future research and cross study exchange.
9.First imported case of kala-azar from other provinces reported in Changning District of Shanghai
Jiani LU ; Lin ZHU ; Weiqi WU ; Tingting PEI
Shanghai Journal of Preventive Medicine 2025;37(12):1039-1043
ObjectiveTo explore the diagnostic-therapeutic course and epidemiological characteristics of the first imported kala-azar case reported in Changning District of Shanghai, so as to provide references for early detection, timely diagnosis, and effective management of the kala-azar cases in non-epidemic areas. MethodsIn 2025, a comprehensive epidemiological investigation and a complete collection of clinical records of one kala-azar patient imported from other provinces reported by a medical institution in this city were conducted. The source of infection, process of diagnosis and treatment, and clinical outcome of the case were systematically analyzed. ResultsThe case was a male migrant worker from Shanxi Province currently residing in Shanghai. In June 2023, the patient had a history of exposure to mosquito bites during his stay in a kala-azar endemic area. The initial onset occurred in December 2023, with clinical manifestations including unexplained fever accompanied by leukopenia, and subsequently gradually developed night sweats and fatigue during the following months. In June 2024, the patient self-perceived significant weight loss, and physical examination revealed hepatomegaly and splenomegaly, leading to a diagnosis of hemophagocytic syndrome (HPS). Throughout the whole course of the illness, the patient sought treatment at hematology departments of several hospitals multiple times, where he was managed as a case of HPS. In January 2025, a large number of Leishmania donovani were detected in the patient's bone marrow smear, confirming kala-azar. After 2 weeks of standardized treatment with amphotericin B liposomal, there was significant improvement. Combined with the epidemiological investigation, it was speculated that the incubation period of this case was about 6 months, whereas the interval from initial onset to definite diagnosis was approximately 14 months. ConclusionKala-azar has atypical early clinical symptoms, which are prone to confusion with HPS. For patients with recurrent unexplained fever accompanied by peripheral cytopenias, hepatomegaly and splenomegaly, medical institutions should consider the possibility of infectious diseases. Close collaboration between medical institutions and centers for disease control and prevention is essential to conduct a detailed epidemiological investigation and laboratory screening, ensuring confirmed cases receive standardized treatment.
10.Research progress on the mechanism of traditional Chinese medicine monomers acting on myelosuppression after chemotherapy based on the four properties theory
Sihan ZHANG ; Tingting WANG ; Zhifen ZHAO ; Hanyu KANG ; Jiaqi JI ; Ziqiang GUO ; Tong LIU ; Shiqing JIANG
China Pharmacy 2025;36(18):2341-2347
Chemotherapy is an important treatment for tumors, but most patients experience varying degrees of chemotherapy- induced myelosuppression. Four properties theory of traditional Chinese medicine (TCM) has unique advantages in improving chemotherapy-induced myelosuppression. The monomers from TCM with different properties and flavors, such as cold-natured (e.g. Scutellaria baicalensis, Rhus chinensis), cool-natured (e.g. Ligustrum lucidum, Ophiopogon japonicus), warm-natured (e.g. Panax ginseng, Epimedium brevicornu, Curcuma longa, Angelica sinensis), hot-natured (e.g. Cinnamomum cassia, Aconitum carmichaeli), and neutral-natured (e. g. donkey-hide gelatin, Lycium barbarum, Rhodiola rosea, fungi), can exert anti- myelosuppressive effects by reducing damage to hematopoietic stem/progenitor cells, improving the bone marrow hematopoietic microenvironment, inhibiting the oxidative stress response, regulating signaling pathways, so as to ultimately repaire inflammatory damage and improve hematopoietic function, thereby playing an anti-myelosuppressive role.


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