1.Trend analyses of first-diagnosed reporting rate of chronic obstructive pulmonary disease among adult residents in Changzhou City from 2020 to 2024
Xiaomeng MI ; Mingyang NI ; Wenguo XU ; Wenchao XU
Shanghai Journal of Preventive Medicine 2026;38(2):133-138
ObjectiveTo investigate the first-diagnosed reporting rate and annual changing trends of chronic obstructive pulmonary disease (COPD) among adult residents in Changzhou City from 2020 to 2024, and to provide a scientific basis for the prevention and control of COPD in this region. MethodsData on first-diagnosed cases of COPD from 2020 to 2024 were collected from the Changzhou Health Data Management Platform, along with resident population data stratified by age group and sex for the corresponding years. Stratified analyses were conducted by diagnosis year, sex, and age group to calculate crude first-diagnosed reporting rate and age-specific first-diagnosed reporting rate. The age-standardized first-diagnosed reporting rate (ASFDRR) was calculated using data from the Seventh National Population Census of China (2020) as the standard population. A logarithmic-linear model was employed to estimate the average annual percentage change (AAPC) in ASFDRR, along with its 95%CI and P-value. ResultsFrom 2020 to 2024, a total of 12 925 first-diagnosed COPD cases of adult residents were reported in Changzhou City. The overall crude first-diagnosed reporting rate increased from 37.91/100 000 in 2020 to 100.68/100 000 in 2024. The overall ASFDRR rose from 116.83/100 000 in 2020 to 274.59/100 000 in 2024, with an AAPC of 26.55% (95%CI: 5.98%‒51.11%). Among these,9 831 new cases were male, with the crude first-diagnosed reporting rate increasing from 57.07/100 000 to 159.29/100 000, and the ASFDRR increasing from 92.54/100 000 to 223.82 / 100 000, with an AAPC of 27.58% (95%CI: 6.21%‒53.26%). There were 3 094 new female cases, with the crude first-diagnosed reporting rate rising from 19.53/100 000 to 45.39/100 000, and the ASFDRR increasing from 26.01/100 000 to 55.33/100 000, with an AAPC of 22.90% (95%CI: 5.19%‒43.59%). Both crude and age-standardized first-diagnosed reporting rates of COPD for the total population and different gender groups showed a statistically significant upward trend as age increased (all P<0.05). The reporting peaks were primarily concentrated in the 80 years old age group. ConclusionThe age-standardized first-diagnosed reporting rate of COPD in Changzhou City exhibited a rapid upward trend from 2020 to 2024. ASFDRR was higher in males than that in females, and the elderly population constituted the main reported group. This trend warrants close attention, emphasizing the need to strengthen screening, early intervention, and standardized management for high-risk populations.
2.Study on Graded Quantitative Diagnosis of Lung Qi Deficiency Syndrome in Chronic Obstructive Pulmonary Disease Based on Latent Class Analysis Combined with Hidden Structure Model
Weike LI ; Mingyang YI ; Yuanyuan NI ; Lizhen YAN ; Jianxin GUAN ; Shihao WANG ; Huijie WANG ; Zhiwan WANG
Journal of Traditional Chinese Medicine 2025;66(7):710-716
ObjectiveTo clarify the graded quantitative diagnostic characteristics of lung qi deficiency syndrome in chronic obstructive pulmonary disease (COPD) based on latent class analysis combined with a hidden structure model. MethodsClinical data, including the four diagnostic methods of traditional Chinese medicine (TCM), were collected from 745 COPD patients with lung qi deficiency syndrome. Latent class modeling was performed using R 4.1.2 software, and each patient was classified into one of three severity categories (mild, moderate, or severe) based on probabilistic parameterization, parameter estimation, and model fitting. A database was established for different severity levels of lung qi deficiency syndrome. Based on this, Lantern 5.0 software was used to construct hidden structure models for mild, moderate, and severe lung qi deficiency syndrome, and syndrome differentiation rules were developed through comprehensive clustering. ResultsA latent class model was constructed using 28 symptoms and signs with a frequency greater than 10%. Considering TCM theory and model simplicity, the optimal model was determined when the number of latent classes was three, categorizing lung qi deficiency syndrome into mild (298 cases), moderate (164 cases), and severe (283 cases). Hidden structure models were separately developed for each severity level, and syndrome differentiation rules were established. A comparison of common symptoms in the syndrome differentiation rules for mild and moderate lung qi deficiency syndrome showed no statistically significant differences in diagnostic values and weights (P>0.05), leading to their combined analysis and the development of a unified syndrome differentiation rule. Value and weight of quantitative diagnosis of mild-to-moderate lung qi deficiency syndrome were as followed: shortness of breath (diagnostic value 9.3, diagnostic weight 86.92%), dyspnea on exertion (8.2, 76.64%), low voice and reluctance to speak (6.7, 62.62%), poor appetite (4.0, 37.38%), loose stools (4.0, 37.38%), weak cough sound (2.9, 27.10%), wheezing (2.3, 21.50%), fatigue (1.8, 16.82%), spontaneous sweating (1.7, 15.89%), susceptibility to colds (1.6, 14.95%), swollen tongue (1.4, 13.08%), teeth marks on the tongue edge (1.2, 11.21%), deep pulse (1.6, 14.95%), with a diagnostic threshold of 10.3. Value and weight of quantitative diagnosis of severe lung qi deficiency syndrome were as followed: weak cough sound (15.1, 61.13%), soreness and weakness of the waist and knees (12.6, 51.01%), shortness of breath (11.1, 44.94%), low voice and reluctance to speak (8.3, 33.60%), frequent nocturia (6.1, 24.70%), spontaneous sweating (3.7, 14.98%), susceptibility to colds (3.5, 14.17%), teeth marks on the tongue edge (7.8, 31.58%), pale tongue body (1.9, 7.69%), white tongue coating (5.5, 22.27%), thin pulse (1.5, 6.07%), with a diagnostic threshold of 23.7. ConclusionThe combination of latent class analysis and a hideen structure model effectively clarified the graded quantitative diagnostic characteristics of lung qi deficiency syndrome, providing a reference for the quantitative diagnosis of other fundamental syndromes in TCM.
3.Transcriptome sequencing revealed the inhibitory mechanism of ketoconazole on clinical Microsporum canis
Mingyang WANG ; Yan ZHAO ; Lingfang CAO ; Silong LUO ; Binyan NI ; Yi ZHANG ; Zeliang CHEN
Journal of Veterinary Science 2021;22(1):e4-
Background:
Microsporum canis is a zoonotic disease that can cause dermatophytosis in animals and humans.
Objectives:
In clinical practice, ketoconazole (KTZ) and other imidazole drugs are commonly used to treat M. canis infection, but its molecular mechanism is not completely understood.The antifungal mechanism of KTZ needs to be studied in detail.
Methods:
In this study, one strain of fungi was isolated from a canine suffering with clinical dermatosis and confirmed as M. canis by morphological observation and sequencing analysis.The clinically isolated M. canis was treated with KTZ and transcriptome sequencing was performed to identify differentially expressed genes in M. canis exposed to KTZ compared with those unexposed thereto.
Results:
At half-inhibitory concentration (½MIC), compared with the control group, 453 genes were significantly up-regulated and 326 genes were significantly down-regulated (p < 0.05). Quantitative reverse transcription polymerase chain reaction analysis verified the transcriptome results of RNA sequencing. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the 3 pathways of RNA polymerase, steroid biosynthesis, and ribosome biogenesis in eukaryotes are closely related to the antifungal mechanism of KTZ.
Conclusions
The results indicated that KTZ may change cell membrane permeability, destroy the cell wall, and inhibit mitosis and transcriptional regulation through CYP51, SQL, ERG6, ATM, ABCB1, SC, KER33, RPA1, and RNP genes in the 3 pathways. This study provides a new theoretical basis for the effective control of M. canis infection and the effect of KTZ on fungi.

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