Publications by authors named "Song WanMei"

Coronavirus disease 2019 (COVID-19) has been wreaking havoc for 3 years. PANoptosis, a distinct and physiologically relevant inflammatory programmed cell death, perpetuates cytokine storm and multi-organ injuries in COVID-19. Although PANoptosis performs indispensable roles in host defense, further investigation is needed to elucidate the exact processes through which PANoptosis modulates immunological responses and prognosis in COVID-19.

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Growing evidence has found the health protective effects of greenness exposure on tuberculosis (TB) and the impact of ambient air pollutants on TB drug-resistance. However, it remains unclear whether residential greenness is also beneficial to reduce TB drug-resistance, and whether air pollution modify the greenness-TB resistance relationship. We enrolled 5006 newly-diagnosed TB patients from Shandong, China, during 2014 to 2021.

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Article Synopsis
  • Researchers examined the genetic diversity and transmission patterns of multidrug-resistant tuberculosis (MDR-TB) in China to better understand the factors contributing to its epidemic.
  • The study analyzed 1,313 MDR-TB strains using whole genome sequencing and found that most strains belong to lineage 2.2.1, which is notably linked to frequent transmission.
  • Results indicated that this lineage has a strong presence across various regions in China, and specific genetic mutations associated with drug resistance may enhance their spread without significantly impacting the bacteria's fitness.
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  • The study investigates how Mycobacterium tuberculosis spreads and migrates within China by analyzing a large dataset of tuberculosis strain genomes.
  • It found that lineage 2 (L2), especially sublineage 2.2.1, is the most prevalent and has higher transmissibility compared to other strains, showing significant cross-regional spread.
  • The research highlights the public health implications of the L2.2.1 strain, as it poses a considerable challenge to tuberculosis control efforts in the country.
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Objective: This paper intends to verify through vivo experiments whether ginsenoside Rh2 (G-Rh2) can play an anti-inflammatory role by modulating cardiomyocyte (CM) pyroptosis in rats with acute myocardial infarction (AMI), thereby alleviating myocardial injury.

Methods: Twenty SD rats were randomized into control, L-Rh2, M-Rh2, and H-Rh2 groups, among which the latter three groups were modeled for AMI and given an intraperitoneal injection of G-Rh2 (L-Rh2: 2 mg/kg; M-Rh2: 4 mg/kg; H-Rh2: 8 mg/kg), while the control group was only treated with thoracotomy and sodium chloride injection. Heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), left ventricular systolic pressure (LVSP), and left ventricular end-diastolic pressure (LVEDP) were recorded by ultrasonic diagnosis.

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Background: Tuberculosis (TB) is one of the main infectious diseases that seriously threatens global health, while diagnostic delay (DD) and treatment dramatically threaten TB control.

Methods: Between 2005 and 2017 in Shandong, China, we enrolled pulmonary tuberculosis (PTB) patients with DD. DD trends were evaluated by Joinpoint regression, and associations between PTB patient characteristics and DD were estimated by univariate and multivariate logistic regression.

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Objectives: To investigate the independent and collective impact of alcohol drinking and tobacco smoking on the drug-resistance of newly diagnosed tuberculosis (TB).

Design: This was a retrospective cohort study.

Setting: Shandong, China.

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Introduction: Tuberculosis is one of the main infectious diseases threatening global health, which is also the main cause of death from a single source of infection (above HIV/AIDS). China is a country with a high burden of tuberculosis in the world, ranking only behind India and Indonesia. However, there are few ecological studies on the burden of tuberculosis in China.

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Background: Drug-resistant tuberculosis (DR-TB), obesity, and malnutrition are growing public health problems in the world. However, little has discussed the impact of different BMI status on the emergence of TB drug resistance. We aimed to explore the drug-resistant profiles of DR-TB and its clinical predictors among underweight, overweight or obesity population.

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Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are two major infectious diseases posing significant public health threats, and their coinfection (aptly abbreviated COVID-TB) makes the situation worse. This study aimed to investigate the clinical features and prognosis of COVID-TB cases. The PubMed, Embase, Cochrane, CNKI, and Wanfang databases were searched for relevant studies published through December 18, 2020.

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Drug-resistant tuberculosis (DR-TB), especially multidrug-resistant tuberculosis (MDR-TB) is a public health threat. Little is known about estimates of different profiles and rates of DR-TB among children globally. We did a systematic review and meta-analysis of observational studies reporting DR-TB among children by searching Embase, PubMed, and Scopus databases from January 1, 2000 to October 1, 2020.

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Article Synopsis
  • The study aimed to identify risk factors for drug-resistant tuberculosis (DR-TB) and how comorbid conditions affect drug resistance in patients being retreated for pulmonary tuberculosis (PTB) in Shandong, China, over a 16-year period.
  • Out of nearly 11,000 PTB patients, 26.2% were found to have DR-TB, with smoking, lung cavities, and comorbidities like diabetes and hypertension identified as significant risk factors for developing drug resistance during treatment.
  • Comorbidities were associated with higher rates of various drug resistances, and patients with these conditions were generally older and had poorer lifestyle habits, emphasizing the need for targeted interventions in vulnerable populations.
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Background: Drug-resistant tuberculosis (DR-TB), diabetes and exposure to air pollution are thought to be important threat to human health, but no studies have explored the effects of ambient air pollutants on DR-TB when adjusting diabetes status so far.

Methods: We performed a study among 3759 newly diagnosed TB cases with drug-susceptibility testing results, diabetes status, and individual air pollution data in Shandong from 2015 to 2019. Generalized linear mixed models (GLMM) including three models (Model 1: without covariates, Model 2: adjusted by diabetes status only, Model 3: with all covariates) were applied.

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Background: Considering the high morbidity and mortality of lung cancer and the high incidence of pulmonary nodules, clearly distinguishing benign from malignant lung nodules at an early stage is of great significance. However, determining the kind of lung nodule which is more prone to lung cancer remains a problem worldwide.

Methods: A total of 480 patients with pulmonary nodule data were collected from Shandong, China.

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Background: To explore population aging and the epidemic trend of pulmonary tuberculosis (PTB) in the elderly, and provide a basis for the prevention and control of pulmonary tuberculosis among the elderly.

Methods: We collected clinical information of 239,707 newly active PTB patients in Shandong Province from 2005 to 2017. We analyzed and compared the clinical characteristics, reported incidence and temporal trend of PTB among the elderly group (≥60 years) and the non-elderly group (< 60 years) through logistic model and Join-point regression model.

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Few studies conducted in China have assessed the effects of ambient air pollution exposure on tuberculosis (TB) risk and mortality, especially with a multicity setting. We evaluated the effect of short- and long-term ambient sulfur dioxide (SO), nitrogen dioxide (NO), carbon monoxide (CO), ozone (O), and particulate matter≤2.5 μm in aerodynamic diameter (PM) exposures on development and mortality of active TB in 7 Chinese cities in Shandong province from January 1, 2013, to December 31, 2017.

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Background: With an aging population, China is facing a huge burden of elderly patients with drug resistant tuberculosis (DR-TB), which has become a significant obstacle for the global TB control. There is still little study on DR-TB in the elderly in China so far. Thus, more research on the epidemiological characteristics and trend of primary DR-TB among the elderly will be necessary.

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Background: Tuberculosis (TB) is one of the major infectious diseases that seriously endanger people's health. In Shandong province, the relationship between the level of economic development and TB incidence has not been studied. This study aims to provide more research basis for the government to prevent and control TB by exploring the impact of different economic factors on TB incidence.

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Article Synopsis
  • * Results show that TB patients with diabetes exhibit a higher rate of drug resistance (34.41% vs. 25.00% for non-DM patients) and have significantly increased odds of various drug-resistant TB profiles.
  • * These findings highlight the importance of monitoring drug resistance in TB patients with diabetes due to their elevated risk, emphasizing a need for targeted interventions.
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Background: Primary drug-resistant tuberculosis (DR-TB) has contributed to a significant health and economic burden on a global scale, especially in China. we sought to estimate epidemiological characteristics of primary DR-TB in China from 2004 to 2018.

Methods: Eleven thousand four hundred sixty-seven newly diagnosed and 1981 retreated TB cases with drug susceptibility data were included.

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Article Synopsis
  • The study explored the relationship between tuberculosis (TB) and diabetes mellitus (DM) in China, highlighting the increased risk of drug-resistant tuberculosis (DR-TB) in TB patients who also have diabetes from 2004 to 2017. !* -
  • Among 7,223 newly diagnosed TB patients, 5.90% were identified as TB-DM cases, which showed higher rates of drug resistance compared to TB patients without diabetes, particularly in forms like polydrug resistant TB (PDR-TB) and streptomycin-resistant TB. !* -
  • The findings conclude that diabetes significantly contributes to a higher likelihood of drug resistance in TB patients, emphasizing the need for improved management of diabetes to aid
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To determine the association between daily air pollution and the hospital admissions for respiratory diseases in children aged from 0 to 17 years in Jinan, China. Generalized linear models were used to explore the acute effects of ambient fine particulate matter (PM) on the children's hospital admissions for respiratory diseases. We evaluated the lag associations (including lag 0 to lag 3, lag 01, and lag 03) between daily PM and the number of children's hospital admissions for respiratory diseases, and stratified by gender, age group (baby group: age 0-1 years; child group: age 1-5 years; student group: age 6-17 years), and cause-specific disease (including upper infection, pneumonia, and acute bronchitis) during 2011-2015.

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This study aimed to analyze the epidemiology of pulmonary tuberculosis (PTB) and gained insight into the future TB control plan in China.We extracted epidemiological, clinical, and geographic data from TB prevention and control institutions in 6 cities of Shandong province, China, during 2005 to 2017.Among 224,480 diagnosed PTB, rural residents accounted for 93%, smear-positive PTB 52%, and new cases 92%.

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Background: Diagnosis of tuberculosis (TB) in children is challenging. Epidemiological data of childhood pulmonary tuberculosis (PTB) are urgently needed.

Methods: We described trends in epidemiology, clinical characteristics, and treatment outcomes in seven cities of Shandong province, China, during 2005-2017.

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Article Synopsis
  • This study analyzed 16,931 respiratory deaths among older adults in Jinan, China, to investigate the short-term health effects of various air pollutants like PM2.5, PM10, SO2, NO2, and O3 on respiratory mortality.
  • Results showed that outdoor air pollution significantly increased mortality rates from chronic airway diseases, with peak effects typically observed 1 to 3 days after exposure.
  • Additionally, the study found that factors like sex, age, and meteorological conditions (temperature, humidity, etc.) played a role in modifying the impact of air pollutants on respiratory health.
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