1.H3N2 influenza virus HA and NA gene prevalence and variations in Shandong Province from 2023 to 2024
Julong WU ; Yujie HE ; Lin SUN ; Shu ZHANG ; Shaoxia SONG ; Ti LIU ; Zhong LI ; Xianjun WANG ; Zengqiang KOU
Chinese Journal of Zoonoses 2025;41(8):873-878
This study investigated the epidemic status of H3N2 influenza virus and the genetic evolution characteristics of hemagglutinin(HA)and neuraminidase(NA)of H3N2 subtype influenza viruses isolated in Shandong Province during 2023-2024,to understand their compatibility with vaccine strains and drug resistance status.A total of 25 H3N2 subtype influenza virus strains were randomly selected from the strains isolated by the influenza surveillance network laboratory.The HA and NA genes were sequenced with the vaccine strains recommended by the WHO as a reference.Monitoring of sensitivity to oseltamivir and zanamivir was conducted through neuraminidase inhibition experiments.The H3N2 influenza viruses in Shandong Province belonged to the 3C.2a1b.2a.2a.3a.1 clade.Nucleotide sequence analysis revealed that the HA1 and NA genes were closely related to the WHO-recommended vaccine strain A/Darwin/9/2021 for the current season,with homology rates of 97.8%-98.2%and 98.9%-99.3%,respectively.Amino acid sequence analysis indicated 22 amino acid sequence variations in the HA1 protein,and antigenic drift was detected in 8 strains.A glycosylation site was added at position 94 of the HA protein in all 25 strains.Variations occurred in the NA antigenic determinants of some strains.Neuraminidase inhibition experiments indicated that all tested influenza viruses were sensitive to oseltamivir and zanamivir.Some differences in HA and NA proteins were observed between the monitored strains and vaccine strains.Continued monitoring of the molecular evolution characteristics of influenza viruses is necessary to understand the risk of influenza outbreaks,and their effects on the effectiveness of influenza vaccines and therapeutic drugs.
2.Analysis of the nucleic acid detection results for six non-influenza viruses in influenza-like illness cases in Shandong Province from 2020 to 2021
Yujie HE ; Zhong LI ; Julong WU ; Lin SUN ; Shaoxia SONG ; Shu ZHANG ; Xiaolin LIU ; Yang DONG ; Xianjun WANG ; Zengqiang KOU ; Ti LIU
Chinese Journal of Preventive Medicine 2025;59(2):216-221
Objective:To analyze the respiratory virus infection status and epidemiological characteristics of influenza-like illness (ILI) cases in Shandong Province during the 2020 -2021 influenza surveillance year. Methods:According to the National Influenza Surveillance Plan (2017 version), throat swab samples of ILI cases were collected from 14 surveillance sentinel hospitals in Shandong Province. Nucleic acid was extracted from all samples. Real-time fluorescence quantitative PCR (RT-PCR) was utilized to detect six common viruses, including human metapneumovirus (HMPV), human parainfluenza virus (HPIV) types 1, 2 and 3, respiratory syncytial virus (RSV), and adenovirus (ADV). Subsequently, the obtained detection results were analyzed.Results:A total of 2 386 specimens were collected, with a detection rate of 24.22% (578). Six viruses were detected, with detection rates of 6.75% (162 cases) for HMPV, 5.87% (140 cases) for RSV, 3.56% (85 cases) for HPIV3, 3.14% (75 cases) for HPIV2, 2.98% (71 cases) for HPIV1, and 2.77% (66 cases) for ADV. There was no significant difference in detection rates between genders, but a notable variation among different age groups ( P<0.001). The highest detection rate was observed in individuals aged 0-4 years (31.94%), followed by those aged≥60 years (26.06%). The prevalence of six viruses showed a monthly variation, with the detection rate of HMPV being higher in December and HPIV1 being higher in February. HPIV2, HPIV3, RSV, and ADV had higher detection rates in November. The co-detection rate of multiple viruses was 0.80%, with RSV being the most common pathogen involved in co-detection, primarily in individuals aged 0-4 years. Conclusion:The detection of six multiple pathogens in ILI cases in Shandong Province is dominated by HMPV, RSV and HPIV3. The prevalence of respiratory viruses varies by age and time.
3.Analysis of metabolite differences of Citrus reticulate'Chachi'and processed cake based on non-targeted metabolomics
Jie-shu WEI ; Xiao-hua OU ; Tian-tian WANG ; Jing-wen CHEN ; Su-zhong ZHANG
Chinese Traditional Patent Medicine 2025;47(9):2957-2963
AIM To explore the differential metabolites of different aged Citrus reticulate'Chachi'and their processed cakes.METHODS Non-targeted metabolomics technology of GC-TOF-MS was used to analyze the chemical constituents.The data was processed by principal component analysis and orthogonal partial least squares discriminant analysis,and the differential metabolites were identified.RESULTS A total of 74 differential metabolites were identified,including 16 glycosides,14 organic acids and their derivatives,11 amino acids and their derivatives,and 4 flavonoids.Comparative analysis revealed 40 and 30 differential metabolites between fresh C.reticulate'℃hachi'and 3-year or 5-year aged samples,respectively.Furthermore,27 and 34 differential metabolites were identified between the 3-year or 5-year aged samples and their corresponding processed cakes,respectively.Differential metabolites among fresh,aged C.reticulate'Chachi',and processed cakes were predominantly enriched in 6 metabolic pathways,including the biosynthesis of secondary metabolites.Specifically,differential metabolites between 3-year aged C.reticulate'Chachi'and its processed cake were significantly enriched in 4 pathways,such as ABC transporters.Differential metabolites between 5-year aged C.reticulate'Chachi'and its processed cake were mainly enriched in 5 pathways,including carbon metabolism.CONCLUSION Non-targeted metabolomics technology can elucidate the chemical compositional differences among fresh/aged and processed cakes of C.reticulate'Chachi',laying a foundation for the research into C.reticulate'Chachi'aging processing techniques and the development of processed products.
4.H3N2 influenza virus HA and NA gene prevalence and variations in Shandong Province from 2023 to 2024
Julong WU ; Yujie HE ; Lin SUN ; Shu ZHANG ; Shaoxia SONG ; Ti LIU ; Zhong LI ; Xianjun WANG ; Zengqiang KOU
Chinese Journal of Zoonoses 2025;41(8):873-878
This study investigated the epidemic status of H3N2 influenza virus and the genetic evolution characteristics of hemagglutinin(HA)and neuraminidase(NA)of H3N2 subtype influenza viruses isolated in Shandong Province during 2023-2024,to understand their compatibility with vaccine strains and drug resistance status.A total of 25 H3N2 subtype influenza virus strains were randomly selected from the strains isolated by the influenza surveillance network laboratory.The HA and NA genes were sequenced with the vaccine strains recommended by the WHO as a reference.Monitoring of sensitivity to oseltamivir and zanamivir was conducted through neuraminidase inhibition experiments.The H3N2 influenza viruses in Shandong Province belonged to the 3C.2a1b.2a.2a.3a.1 clade.Nucleotide sequence analysis revealed that the HA1 and NA genes were closely related to the WHO-recommended vaccine strain A/Darwin/9/2021 for the current season,with homology rates of 97.8%-98.2%and 98.9%-99.3%,respectively.Amino acid sequence analysis indicated 22 amino acid sequence variations in the HA1 protein,and antigenic drift was detected in 8 strains.A glycosylation site was added at position 94 of the HA protein in all 25 strains.Variations occurred in the NA antigenic determinants of some strains.Neuraminidase inhibition experiments indicated that all tested influenza viruses were sensitive to oseltamivir and zanamivir.Some differences in HA and NA proteins were observed between the monitored strains and vaccine strains.Continued monitoring of the molecular evolution characteristics of influenza viruses is necessary to understand the risk of influenza outbreaks,and their effects on the effectiveness of influenza vaccines and therapeutic drugs.
5.Role of HOX genes in lung cancer and their significance for early diagnosis
Lingxiang ZHANG ; Zhong XU ; Shu WU ; Lin YE
Chongqing Medicine 2025;54(6):1453-1458
Lung cancer remains the disease with the highest incidence and mortality rates globally,po-sing a severe threat to human health.HOX genes constitute an evolutionarily conserved family of transcription factors that play critical roles in embryonic development,tissue patterning,and cell differentiation.Dysregula-tion of HOX gene expression has been observed in many malignant tumors,affecting tumorigenesis,progres-sion,and treatment response.This article reviewed systematically summarized the expression,functions,and diagnostic significance of HOX genes in lung cancer.
6.Risk prediction of Reduning Injection batches by near-infrared spectroscopy combined with multiple machine learning algorithms.
Wen-Yu JIA ; Feng TONG ; Heng-Xu LIU ; Shu-Qin JIN ; Yong-Chao ZHANG ; Chen-Feng ZHANG ; Zhen-Zhong WANG ; Xin ZHANG ; Wei XIAO
China Journal of Chinese Materia Medica 2025;50(2):430-438
In this paper, near-infrared spectroscopy(NIRS) was employed to analyze 129 batches of commercial products of Reduning Injection. The batch reporting rate was estimated according to the report of Reduning Injection in the direct adverse drug reaction(ADR) reporting system of the drug marketing authorization holder of the Center for Drug Reevaluation of the National Medical Products Administration(National Center for ADR Monitoring) from August 2021 to August 2022. According to the batch reporting rate, the samples of Reduning Injection were classified into those with potential risks and those being safe. No processing, random oversampling(ROS), random undersampling(RUS), and synthetic minority over-sampling technique(SMOTE) were then employed to balance the unbalanced data. After the samples were classified according to appropriate sampling methods, competitive adaptive reweighted sampling(CARS), successive projections algorithm(SPA), uninformative variables elimination(UVE), and genetic algorithm(GA) were respectively adopted to screen the features of spectral data. Then, support vector machine(SVM), logistic regression(LR), k-nearest neighbors(KNN), naive bayes(NB), random forest(RF), and artificial neural network(ANN) were adopted to establish the risk prediction models. The effects of the four feature extraction methods on the accuracy of the models were compared. The optimal method was selected, and bayesian optimization was performned to optimize the model parameters to improve the accuracy and robustness of model prediction. To explore the correlations between potential risks of clinical use and quality test data, TreeNet was employed to identify potential quality parameters affecting the clinical safety of Reduning Injection. The results showed that the models established with the SVM, LR, KNN, NB, RF, and ANN algorithms had the F1 scores of 0.85, 0.85, 0.86, 0.80, 0.88, and 0.85 and the accuracy of 88%, 88%, 88%, 85%, 91%, and 88%, respectively, and the prediction time was less than 5 s. The results indicated that the established models were accurate and efficient. Therefore, near infrared spectroscopy combined with machine learning algorithms can quickly predict the potential risks of clinical use of Reduning Injection in batches. Three key quality parameters that may affect clinical safety were identified by TreeNet, which provided a scientific basis for improving the safety standards of Reduning Injection.
Spectroscopy, Near-Infrared/methods*
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Drugs, Chinese Herbal/administration & dosage*
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Machine Learning
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Algorithms
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Humans
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Quality Control
7.Research progress on pharmacological effects and mechanism of α-asarone and β-asarone in Acori Tatarinowii Rhizoma.
Hao WANG ; Lei GAO ; Jin-Lian ZHANG ; Ling-Yun ZHONG ; Shu-Han JIN ; Xiao-Yan CHEN ; Wen ZHANG ; Jia-Wen WEN
China Journal of Chinese Materia Medica 2025;50(9):2305-2316
Acori Tatarinowii Rhizoma is the dried rhizome of Acorus tatarinowii in the family of Tennantiaceae, which has the efficacy of opening up the orifices and expelling phlegm, awakening the mind and wisdom, and resolving dampness and opening up the stomach. Modern studies have shown that volatile oil is the main active ingredient of Acori Tatarinowii Rhizoma, and α-asarone and β-asarone have been proved to be the active ingredients in the volatile oil of Acori Tatarinowii Rhizoma, with pharmacological effects such as anti-Alzheimer's disease, antiepileptic, anti-Parkinson's disease, antidepressant, anticerebral ischemia/reperfusion injury, anti-thrombosis, lipid-lowering, and antitumor. By summarising and outlining the pharmacological effects of α-asarone and β-asarone and elucidating the possible mechanisms of their pharmacological effects, we can provide theoretical basis for the further research and clinical application of Acori Tatarinowii Rhizoma.
Allylbenzene Derivatives
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Acorus/chemistry*
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Anisoles/chemistry*
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Rhizome/chemistry*
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Drugs, Chinese Herbal/chemistry*
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Humans
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Animals
8.Mechanistic of Yueju Wan volatile oil in inhibiting inflammation for antidepressant effects by regulating AGE/PI3K/Akt pathway.
Tan-Lu CHU ; Ze-Jun GUO ; Wei ZHANG ; Ling-Feng WANG ; Shu-Rui LYU ; Wan-Yu GUO ; Xiao-Ming ZHONG ; Feng-Mei QIU ; Zhen HUANG
China Journal of Chinese Materia Medica 2025;50(11):3147-3158
The antidepressant activity and molecular mechanisms of Yueju Wan volatile oil were investigated. The Yueju Wan volatile oil was extracted by using supercritical CO_2. Gas chromatography-mass spectrometry(GC-MS) combined with network pharmacology identified 28 chemical constituents in Yueju Wan volatile oil, primarily terpenes and lactones. A total of 123 overlapping targets were associated with depression, including core targets of interleukin-1β(IL-1β), signal transducer and activator of transcription 3(STAT3), and caspase-3(CASP3). These targets were mainly involved in the prolactin, advanced glycation end products/receptor(AGE/RAGE), and phosphoinositide 3-kinase/protein kinase B(PI3K/Akt) signaling pathways. A reserpine-induced depression mouse model was established to evaluate the therapeutic effects and mechanisms of Yueju Wan volatile oil. The effects of Yueju Wan volatile oil on depression-like behavior in mice were evaluated by analyzing body mass, body temperature index, tail suspension immobility time, forced swimming immobility time, and sucrose preference. Hematoxylin-eosin(HE) staining revealed neuronal protection of Yueju Wan volatile oil in the brain of mice. Enzyme-linked immunosorbent assay(ELISA) and Western blot were employed to detect the protein expression of AGEs, IL-1β, phosphorylated PI3K(p-PI3K), Akt, phosphorylated Akt(p-Akt), nuclear factor κB(NF-κB), and brain-derived neurotrophic factor(BDNF). Behavioral evaluation showed that Yueju Wan volatile oil could effectively control the decline of body mass and body temperature of depressed mice, reduce tail suspension and swimming immobility time, and enhance their preference for sucrose. Histopathological examination showed that Yueju Wan volatile oil could alleviate the neuronal damage in CA1 and dentate gyrus(DG) of the hippocampus of mice. ELISA and Western blot results showed that Yueju Wan volatile oil could significantly increase the protein expression levels of PI3K, Akt, and BDNF and significantly decrease the protein expression levels of AGEs, IL-1β, p-PI3K, p-Akt, and NF-κB in the hippocampus of mice. Furthermore, the p-PI3K/PI3K and p-Akt/Akt ratios were significantly decreased at medium and high doses. These findings suggest that the aromatherapy of Yueju Wan volatile oil can significantly improve reserpine-induced depression-like behavior in mice, which may be related to reducing the expression of neuronal membrane protein AGEs, reducing the phosphorylation levels of PI3K and Akt, inhibiting NF-κB entry into the nucleus, and alleviating the release of pro-inflammatory factors and nerve injury.
Animals
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Antidepressive Agents/chemistry*
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Mice
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Proto-Oncogene Proteins c-akt/immunology*
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Phosphatidylinositol 3-Kinases/immunology*
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Oils, Volatile/chemistry*
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Male
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Drugs, Chinese Herbal/chemistry*
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Signal Transduction/drug effects*
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Depression/metabolism*
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Glycation End Products, Advanced/immunology*
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Humans
9.Analysis on epidemiological characteristics of influenza and genetic characteristics of influenza virus in 2023-2024 surveillance year in Shandong Province
Yujie HE ; Lin SUN ; Shaoxia SONG ; Shu ZHANG ; Julong WU ; Yang DONG ; Zhong LI ; Xianjun WANG ; Zengqiang KOU ; Ti LIU
Chinese Journal of Epidemiology 2025;46(3):430-439
Objective:To analyze the epidemiological, etiological and genetic characteristics of influenza virus in Shandong Province during 2023-2024.Methods:The surveillance data of influenza-like illness (ILI) in sentinel hospitals in Shandong from 2023 to 2024 were collected and analyzed. The isolated influenza strains with hemagglutination titers ≥8 were selected for antigenicity analysis, drug susceptibility test, gene sequencing and evolutionary analysis.Results:From 2023 to 2024, the positive rate of influenza virus in Shandong was 8.51% (23 663/277 995), the highest positive rate was in the age group of 5-14 years (15.78%, 6 073/38 478), and the highest positive rate was in the 49 th week (35.86%, 2 264/6 313). Both antigenicity analysis and evolutionary analysis showed that the A(H1N1)pdm09 subtype and B(Victoria) strain had good matching effect and close evolutionary distance with the 2023-2024 surveillance year vaccine strain. The A(H3N2) subtype strain did not have a high matching effect with the 2023-2024 vaccine strain and had a long evolutionary distance, but had a close evolutionary distance with the 2024-2025 vaccine strain. Drug susceptibility test showed that oseltamivir sensitivity of influenza A(H1N1)pdm09 strain decreased greatly, and the amino acid site mutation of neuraminidase was H275Y. Conclusions:In the 2023-2024 surveillance year, the peak of influenza virus epidemic in Shandong was mainly occurred in winter and spring, and the age group of 5-14 years was the focus of prevention and control. The dominant strain was subtype A(H3N2), which had poor matching effect with the vaccine strain in the 2023-2024 surveillance year. One A(H1N1)pdm09 resistant strain was found in the drug resistance monitoring work. Follow-up prevention and control work should be strengthen the surveillance for the epidemiological characteristics, genetic variation and drug resistance of influenza viruses, timely understand the epidemic trend and mutation of influenza viruses, timely discover drug-resistant strains of influenza viruses, promote influenza vaccination, and improve of influenza prevention and control.
10.Analysis of the nucleic acid detection results for six non-influenza viruses in influenza-like illness cases in Shandong Province from 2020 to 2021
Yujie HE ; Zhong LI ; Julong WU ; Lin SUN ; Shaoxia SONG ; Shu ZHANG ; Xiaolin LIU ; Yang DONG ; Xianjun WANG ; Zengqiang KOU ; Ti LIU
Chinese Journal of Preventive Medicine 2025;59(2):216-221
Objective:To analyze the respiratory virus infection status and epidemiological characteristics of influenza-like illness (ILI) cases in Shandong Province during the 2020 -2021 influenza surveillance year. Methods:According to the National Influenza Surveillance Plan (2017 version), throat swab samples of ILI cases were collected from 14 surveillance sentinel hospitals in Shandong Province. Nucleic acid was extracted from all samples. Real-time fluorescence quantitative PCR (RT-PCR) was utilized to detect six common viruses, including human metapneumovirus (HMPV), human parainfluenza virus (HPIV) types 1, 2 and 3, respiratory syncytial virus (RSV), and adenovirus (ADV). Subsequently, the obtained detection results were analyzed.Results:A total of 2 386 specimens were collected, with a detection rate of 24.22% (578). Six viruses were detected, with detection rates of 6.75% (162 cases) for HMPV, 5.87% (140 cases) for RSV, 3.56% (85 cases) for HPIV3, 3.14% (75 cases) for HPIV2, 2.98% (71 cases) for HPIV1, and 2.77% (66 cases) for ADV. There was no significant difference in detection rates between genders, but a notable variation among different age groups ( P<0.001). The highest detection rate was observed in individuals aged 0-4 years (31.94%), followed by those aged≥60 years (26.06%). The prevalence of six viruses showed a monthly variation, with the detection rate of HMPV being higher in December and HPIV1 being higher in February. HPIV2, HPIV3, RSV, and ADV had higher detection rates in November. The co-detection rate of multiple viruses was 0.80%, with RSV being the most common pathogen involved in co-detection, primarily in individuals aged 0-4 years. Conclusion:The detection of six multiple pathogens in ILI cases in Shandong Province is dominated by HMPV, RSV and HPIV3. The prevalence of respiratory viruses varies by age and time.

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