ObjectiveTo investigate the epidemiological and clinical characteristics of psittacosis cases in Fuyang District of Hangzhou, Zhejiang Province, and to provide evidence for clinical diagnosis, treatment, and prevention and control of this disease. MethodsEpidemiological investigation data and clinical records of psittacosis cases residing in Fuyang District of Hangzhou from September 2020 to February 2025 were collected. Descriptive epidemiological methods were applied to analyze temporal-spatial-demographic distribution characteristics, exposure history, clinical manifestations, diagnosis, treatment and laboratory findings. Comprehensive analyses were further conducted incorporating environmental surveillance and case follow-up data. ResultsAmong the 16 psittacosis cases, the male-to-female ratio was 1∶1, with an incidence rate of 0.57/100 000 for both males and females. The mean age was (59.88±10.66) years old, and the highest incidence rates were in the 70‒79 years and 60‒69 years age groups, with an incidence rate of 1.41/100 000 and 1.30/100 000, respectively. Fourteen cases (87.50%) had a history of avian exposure. The predominant clinical symptoms included fever (15 cases, 93.75%), cough (11 cases, 68.75%), expectoration (9 cases, 56.25%), and fear of cold (8 cases, 50.00%). All cases showed elevated levels of C-reactive protein (CRP), and the results of chest computed tomography (CT) indicated pneumonia in every case. Neutrophil percentage was elevated in 87.50% (14/16) of cases, while lymphocyte percentage was reduced in 93.75% (15/16) of cases. The median time from onset to first medical consultation was 4.00 days, the median time from onset to confirmed diagnosis was 9.50 days, and the median time of hospitalization was 9.00 days. Compared with non-severe cases, the severe group had significantly higher neutrophil percentage, CRP levels, and longer intervals from onset to confirmed diagnosis, onset to first antibiotic administration, and duration of hospitalization. All cases recovered and were discharged, and more than 50% were treated with omadacycline following confirmed diagnosis. ConclusionMost psittacosis cases reported definitive avian exposure history in Fuyang District of Hangzhou. Early diagnosis and treatment are critical for preventing disease progression to severe stages.

Objective To investigate the exposure-response relationships and lag effects between air pollutants (PM_2.5, PM₁₀, O₃, and NO₂) and mortality in Jiading District, Shanghai, and to provide a scientific basis for the formulation of environmental health policies. Methods Using an individual-level time-stratified case-crossover design, conditional logistic regression models in conjunction with a distributed lag nonlinear model (DLNM) were employed to analyze the exposure-response relationship and temporal lag patterns of ambient air pollution on resident mortality in Jiading District (1994–2024). Results A total of 59 048 death cases were collected, including 18,701 deaths from cardiovascular diseases and 11 731 deaths from respiratory diseases. PM_2.5 and NO₂ had a significant impact on all-cause mortality, cardiovascular disease mortality, and respiratory disease mortality, with the most significant effects observed within a lag of 0–3 days. PM₁₀ also had some impact on these three types of mortality, but its effect was generally weaker than that of PM_2.5 and NO₂. The exposure-response curves showed that the risk of death increased rapidly with increasing concentrations of PM_2.5 and PM₁₀, while the effect of NO₂ plateaued at higher levels. No significant differences were found across age or gender subgroups. Conclusion Short-term exposure to PM_2.5, PM₁₀, and NO₂ significantly increases all-cause mortality risk in Jiading District, with effects persisting up to 7 days, highlighting the need for enhanced air pollution control measures, particularly targeting fine particulate matter.

ObjectiveTo investigate the value of predictive models established based on machine learning methods in predicting the risk of metabolic associated fatty liver disease （MAFLD）， and to analyze its key risk factors. MethodsA retrospective analysis was performed for the 50 variables of 2 168 healthy individuals who underwent physical examination in Department of Health Assessment， Xiyuan Hospital， China Academy of Chinese Medical Sciences， from January 2021 to December 2024， including body composition， past history， and laboratory tests， and according to whether they were diagnosed with MAFLD or not， they were divided into MAFLD group with 265 individuals and non-MAFLD group with 1 903 individuals. The Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Randomly split the research data into a training set and a validation set in a 70% to 30% ratio. Predictive factors were screened from the training set data using univariate analysis， LASSO regression， and multivariate Logistic regression analysis. Predictive models were then constructed using seven machine learning methods： Logistic regression， decision tree， random forest （RF）， eXtreme gradient boosting， light gradient boosting machine， support vector machine， and artificial neural network. Model performance was evaluated by plotting receiver operating characteristic curve for the validation set and calculating the area under the curve （AUC）， sensitivity， specificity， and Youden index for each model. Furthermore， the SHapley Additive exPlanation （SHAP） method was used to analyze the contribution of variables in the optimal model. ResultsThe prevalence rate of MAFLD among the 2 168 subjects was 12.22% （265/2 168）. Smoking， diastolic blood pressure， phase angle， visceral fat area， muscle fat ratio， waist-to-hip ratio， aspartate aminotransferase， non-HDL-C/HDL-C ratio， triglyceride-glucose index， and gallstones were independent risk factors for MAFLD （all P<0.05）. The seven predictive models of support vector machine， eXtreme gradient boosting， decision tree， light gradient boosting machine， artificial neural network， RF， and Logistic regression had an AUC of 0.738， 0.754， 0.757， 0.786， 0.795， 0.796， and 0.815， respectively， in the validation set， among which the RF model had the best discriminatory ability （AUC=0.796， 95% confidence interval： 0.754 — 0.839）， with a sensitivity of 81.01%， a specificity of 63.16%， and a Youden index of 44.17%. The SHAP analysis showed that visceral fat area， waist-to-hip ratio， and diastolic blood pressure were the top three predictive factors in terms of importance. ConclusionThe RF model， constructed based on body composition and clinical indicators， has a good performance in predicting the risk of MAFLD， and its interpretability can help to identify high-risk individuals in the early stage in clinical practice.

AIM: To investigate the effect of intense pulsed light(IPL)combined with Yuyin Runmu formula fumigation and meibomian gland massage on the treatment of patients with meibomian gland dysfunction(MGD)-related dry eye.METHODS: Prospectively selected 198 cases(396 eyes)of MGD-related dry eye patients admitted to our hospital from November 2021 to November 2023, and they were randomly divided into 99 cases(198 eyes)in control group treated with fumigation of Yuyin Runmu formula and meibomian gland massage, and 99 cases(198 eyes)in observation group treated with combined IPL on the basis of the control group. The efficacy of the two groups was compared, as well as the changes in the levels of ocular indexes [tear film break-up time(BUT), Schirmer I test(SⅠt)], visual quality [objective scattering index(OSI), Strehl ratio(SR), and modulation transfer function(MTF)], lipid layer thickness(LLT)of the tear film, and changes in tear fluid levels of inflammatory factors [tumour necrosis factor-α(TNF-α)and transforming growth factor-beta 1(TGF-β1)].RESULTS: All the patients completely received the treatment and follow-up. The levels of BUT, SⅠt, SR, MTF, and LLT increased and the levels of OSI, TNF-α, and TGF-β1 decreased in the two groups at 2 mo after treatment(all P<0.001), and the observation group was more favourable(all P<0.001).CONCLUSION: IPL combined with Yuyin Runmu formula fumigation and meibomian gland massage is effective in treating MGD-related dry eye, improving patients' ocular parameters, visual quality, and LLT, and decreasing the levels of inflammatory factors in the tear fluid.

As a common malignant tumor of the digestive tract, esophageal cancer exhibits a high incidence rate globally. Due to its high mortality rate in advanced stages, early prevention of esophageal cancer is particularly important and urgent. Currently, the treatment for early esophageal cancer primarily involves surgical intervention, with Endoscopic mucosal Dissection (ESD) gaining attention for its minimally invasive nature and favorable prognostic outcomes. However, post-ESD esophageal stricture, as a common complication, severely impacts the quality of life of patients after surgery. The current methods for preventing and treating post-ESD stricture are diverse, including but not limited to pharmacological treatments and Endoscopic Balloon Dilation (EBD). Although these methods alleviate symptoms to some extent, they have not achieved ideal efficacy, and thus, there are no unified or clear standards for the prevention of post-ESD esophageal stricture. This review provides a brief overview of the mechanisms of occurrence, risk factors, and prevention and treatment research related to post-ESD esophageal stricture, with the aim of offering guidance and reference for clinical treatment.

Obesity is a chronic low-grade inflammation and a risk factor for diseases such as diabetes， hypertension， dyslipidemia， and malignant tumors， demonstrating an increasingly grim development situation. The nuclear factor-kappa B （NF-κB） signaling pathway is a key signaling pathway involved in the immune response and inflammatory response. In obese individuals， the expression of NF-κB is overactivated， which leads to abnormal inflammatory responses in the body. Therefore， it is expected to alleviate inflammation and treat obesity by regulating the NF-κB signaling pathway， which has been proven effective by a large number of studies. The available studies on the NF-κB signaling pathway mostly focus on tumors， and there is no systematic review of the mechanism of this pathway in mediating obesity and the traditional Chinese medicine （TCM） treatment. We reviewed the research progress in the pathological and physiological processes of obesity mediated by NF-κB signaling pathway and TCM treatment， aiming to give insights into the clinical treatment of obesity with TCM and provide reference targets and research directions for exploring the biological foundations and the development of new TCM preparations.

This study identified blood-entering components of Anshen Dropping Pills and explored their anti-insomnia effects and mechanisms. The main blood-entering components of Anshen Dropping Pills were detected and identified by UPLC-Q-TOF-MS/MS. The rationality of the formula was assessed by using enrichment analysis based on the relationship between drugs and symptoms, and core targets of its active components were selected as the the potential anti-insomnia targets of Anshen Dropping Pills through network pharmacology analysis. Furthermore, protein-protein interaction(PPI) network, Gene Ontology(GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis were performed on the core targets. An active component-core target network for Anshen Dropping Pills was constructed. Finally, the effects of low-, medium-, and high-dose groups of Anshen Dropping Pills on sleep episodes, sleep duration, and sleep latency in mice were measured by supraliminal and subliminal pentobarbital sodium experiments. Moreover, total scores of the Pittsburgh sleep quality index(PSQI) scale was used to evaluate the changes before and after the treatment with Anshen Dropping Pills in a clinical study. The enrichment analysis based on the relationship between drugs and symptoms verified the rationality of the Anshen Dropping Pills formula, and nine blood-entering components of Anshen Dropping Pills were identified by UPLC-Q-TOF-MS/MS. The network proximity revealed a significant correlation between eight components and insomnia, including magnoflorine, liquiritin, spinosin, quercitrin, jujuboside A, ginsenoside Rb_3, glycyrrhizic acid, and glycyrrhetinic acid. Network pharmacology analysis indicated that the major anti-insomnia pathways of Anshen Dropping Pills involved substance and energy metabolism, neuroprotection, immune system regulation, and endocrine regulation. Seven core genes related to insomnia were identified: APOE, ALB, BDNF, PPARG, INS, TP53, and TNF. In summary, Anshen Dropping Pills could increase sleep episodes, prolong sleep duration, and reduce sleep latency in mice. Clinical study results demonstrated that Anshen Dropping Pills could decrease total scores of PSQI scale. This study reveals the pharmacodynamic basis and potential multi-component, multi-target, and multi-pathway effects of Anshen Dropping Pills, suggesting that its anti-insomnia mechanisms may be associated with the regulation of insomnia-related signaling pathways. These findings offer a theoretical foundation for the clinical application of Anshen Dropping Pills.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Tandem Mass Spectrometry/methods* ; Sleep Initiation and Maintenance Disorders/metabolism* ; Mice ; Network Pharmacology ; Male ; Chromatography, High Pressure Liquid ; Humans ; Protein Interaction Maps/drug effects* ; Sleep/drug effects* ; Female ; Adult

Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

Objective To analyze the status of persistent human papillomavirus (HPV) infection and the distribution of viral subtypes in the Zhengzhou region. Methods Clinical data of 55239 patients who underwent HPV-DNA genotyping tests from 2018 to 2024 were collected. On the basis of HPV follow-up results, patients were divided into three groups: 849 cases of infection with the same HPV type, 255 cases of persistent infection with different HPV types, and 857 cases of transient HPV infection. Results Among the 9232 initially-screened patients who were positive with HPV, the high-risk HPV (HR-HPV) positive rate was 84.6% (7813/9232), and predominant subtypes were HPV-16 (20.8%), HPV-52 (17.2%), and HPV-53 (9.6%). The low-risk HPV (LR-HPV) positive rate was 15.4% (1419/9232), mainly HPV-81 (28.1%) and HPV-42 (27.0%). Among the 1961 follow-up cases, the rates of persistent and non-persistent infections with the same HPV type were 35.7% (701/1961) and 7.5% (148/1961), respectively. The rates of persistent and non-persistent infections with different HPV types were 10.9% (214/1961) and 2.1% (41/1961), respectively. Meanwhile, 43.7% (857/1961) tested negative upon follow-up. Among the 701 cases of persistent infection with the same HPV type, HR-HPV accounted for 85.7% (601/701), and LR-HPV accounted for 14.3% (100/701). Among the 214 cases of persistent infection with different HPV types, 89.7% (192/214) were high-risk transitions, and 10.3% (22/214) were low-risk transitions. Regardless of HPV types, HR-HPV was more likely to cause persistent infection than LR-HPV. In addition, over 60% of HR-HPV persistent infections resolved within 18 months, 30% developed into persistent infections, and only 15% of patients had persistent infections that last more than 24 months. Conclusion Persistent HPV infections are predominantly high-risk types. Most patients clear the infection within 18 months, approximately 30% develop persistent infections, and about 15% of patients have persistent infections that last more than 24 months. However, the HR-HPV persistent infection rates across different age groups slightly differ.

Objective To investigate the executive condition of Enhanced Recovery After Surgery(ERAS)measures among the hospitalized surgical patients in secondary and tertiary medical institutions of Chongqing City.Methods Using a multicenter cross-sectional survey approach,patients undergoing elective surgeries admitted and treated in 40 member units under the Chongqing Anesthesiology and Perioperative Medicine Specialized Alliance from July 11 to 30,2024 were selected as the survey subjects.Adherence to and completion of ERAS measures were calculated.Factors influencing measures with low completion rates were analyzed.Results A total of 2 100 questionnaires were issued,1 708 effective questionnaires were recovered with an effective recovery rate of 81.33％.Among them,there were 1 017 questionnaires in the tertiary medi-cal institutions and 691 questionnaires in the secondary medical institutions.The age of 1 708 patients ranged from 19-78 years old with a median age of 52 years old.Females were dominant.The proportion of patients from gastrointestinal surgery and those with secondary school education or above was high.Hypertension and diabetes were the main complication types.The surgical grade was concentrated at grades Ⅲ and Ⅳ.The ASA grading was concentrated at the grade Ⅰ/Ⅱ.The NYHA heart function grade was mainly the grade Ⅰ/Ⅱ.The ERAS measures compliance rate ranged from 36.36％to 95.45％,averaged 73.47％.The compliance rate of ERAS measures in the tertiary hospitals was higher than that in the secondary hospitals(75.82％vs.70.01％),and the difference was statistically significant(P<0.05).The average completion rate of ERAS measures was 74.08％.The top three in the completion rate were preoperative education(95.78％),preven-tive antibiotics and skin preparation(92.62％),and preoperative interview and evaluation(88.58％).The completion rates of Prehabilitation(55.27％)and preoperative fasting(57.67％)urgently needed to be in-creased.The completion rate of other measures was lower than 60％.Conclusion The compliance rate of ERAS measures needs to be increased,moreover there are significant differences among various hospitals.Fu-ture practices should focus on two measures:preoperative pre-rehabilitation exercises and preoperative oral intake of carbohydrates.