1.Particulate matter exposure and end-stage renal disease risk in IgA nephropathy.
Yilin CHEN ; Huan ZHOU ; Siqing WANG ; Lingqiu DONG ; Yi TANG ; Wei QIN
Frontiers of Medicine 2025;19(5):855-864
Long-term exposure to particulate matter has been increasingly implicated in the progression of chronic kidney disease (CKD). However, its impact on IgA nephropathy (IgAN), a leading cause of end-stage renal disease (ESRD), remains unclear. A total of 1768 IgAN patients, confirmed by renal biopsy were included in this cohort study. Long-term exposure to PM2.5 and PM10 was assessed using high-resolution satellite-based data from the China High Air Pollutants (CHAP) dataset. Cox proportional hazards models were used to estimate the associations between PM2.5 or PM10 and ESRD risk, adjusting for demographic, clinical, and biochemical covariates. Over a median follow-up of 3.63 years, 209 participants progressed to ESRD. Higher exposure to both PM2.5 and PM10 was significantly associated with an increased risk, with hazard ratios of 1.62 and 1.36 per 10 µg/m3 increase, respectively. A nonlinear dose-response relationship was observed, with risk increasing markedly beyond threshold levels. Trajectory modeling of prebaseline exposure identified a subgroup with persistently high and fluctuating particulate matter exposure that showed the highest risk. This study provides strong evidence that prolonged exposure to ambient particulate matter contributes to renal disease progression in individuals with IgAN.
Humans
;
Glomerulonephritis, IGA/pathology*
;
Particulate Matter/adverse effects*
;
Male
;
Female
;
Kidney Failure, Chronic/epidemiology*
;
Adult
;
China/epidemiology*
;
Disease Progression
;
Environmental Exposure/adverse effects*
;
Middle Aged
;
Proportional Hazards Models
;
Risk Factors
;
Air Pollutants/adverse effects*
;
Cohort Studies
2.Simulation analysis of adaptability of large airborne negative pressure isolation cabin to aviation conditions.
Lei GUO ; Falin LI ; Lang JIANG ; Haibo DU ; Bingjie XUE ; Wei YONG ; Yuanyuan JIANG ; Muzhe ZHANG
Journal of Biomedical Engineering 2025;42(4):775-781
In order to solve the problems of difficult test, high cost and long cycle in the development of large-scale airborne negative pressure isolation system, the simulation analysis of negative pressure response characteristics is carried out around various aviation conditions such as aircraft ascending, leveling and descending, especially rapid decompression, based on the computational fluid dynamics (CFD) method. The results showed that the isolation cabin could achieve -50 Pa pressure difference environment and form a certain pressure gradient. The exhaust air volume reached the maximum value in the early stage of the aircraft's ascent, and gradually decreased with the increase of altitude until it was level flying. In the process of aircraft descent, the exhaust fan could theoretically maintain a pressure difference far below -50 Pa without working; Under the special condition of rapid pressure loss, it was difficult to deal with the rapid change of low pressure only by the exhaust fan, so it was necessary to design safety valve and other anti-leakage measures in the isolation cabin structure. Therefore, the initial stage of aircraft ascent is the key stage for the adjustment and control of the negative pressure isolation system. By controlling the exhaust air volume and adjusting parameters, it can adapt to the change of low pressure under normal flight conditions, form a relatively stable negative pressure environment, and meet the needs of biological control, isolation and transport.
Aircraft
;
Computer Simulation
;
Aviation/instrumentation*
;
Humans
;
Hydrodynamics
;
Air Pressure
;
Equipment Design
;
Pressure
3.The Impacts of Climate Change on the Environment and Human Health in China: A Call for more Ambitious Action.
Shi Lu TONG ; Yu WANG ; Yong Long LU ; Cun de XIAO ; Qi Yong LIU ; Qi ZHAO ; Cun Rui HUANG ; Jia Yu XU ; Ning KANG ; Tong ZHU ; Dahe QIN ; Ying XU ; Buda SU ; Xiao Ming SHI
Biomedical and Environmental Sciences 2025;38(2):127-143
As global greenhouse gases continue rising, the urgency of more ambitious action is clearer than ever before. China is the world's biggest emitter of greenhouse gases and one of the countries affected most by climate change. The evidence about the impacts of climate change on the environment and human health may encourage China to take more decisive action to mitigate greenhouse gas emissions and adapt to climate impacts. This article aimed to review the evidence of environmental damages and health risks posed by climate change and to provide a new science-based perspective for the delivery of sustainable development goals. Over recent decades, China has experienced a strong warming pattern with a growing frequency of extreme weather events, and the impacts of climate change on China's environment and human health have been consistently observed, with increasing O 3 air pollution, decreases in water resources and availability, land degradation, and increased risks for both communicable and non-communicable diseases. Therefore, China's climate policy should target the key factors driving climate change and scale up strategic measures to curb carbon emissions and adapt to inevitable increasing climate impacts. It provides new insights for not only China but also other countries, particularly developing and emerging economies, to ensure climate and environmental sustainability whilst pursuing economic growth.
Climate Change
;
China
;
Humans
;
Greenhouse Gases
;
Air Pollution
;
Sustainable Development
;
Environment
4.Association between Organochlorine Exposures and Lung Functions Modified by Thyroid Hormones and Mediated by Inflammatory Factors among Healthy Older Adults.
Xiao Jie GUO ; Hui Min REN ; Ji Ran ZHANG ; Xiao MA ; Shi Lu TONG ; Song TANG ; Chen MAO ; Xiao Ming SHI
Biomedical and Environmental Sciences 2025;38(2):144-153
OBJECTIVE:
To examine the mechanistic of organochlorine-associated changes in lung function.
METHODS:
This study investigated 76 healthy older adults in Jinan, Shandong Province, over a five-month period. Personal exposure to organochlorines was quantified using wearable passive samplers, while inflammatory factors and thyroid hormones were analyzed from blood samples. Participants' lung function was evaluated. After stratifying participants according to their thyroid hormone levels, we analyzed the differential effects of organochlorine exposure on lung function and inflammatory factors across the low and high thyroid hormone groups. Mediation analysis was further conducted to elucidate the relationships among organochlorine exposures, inflammatory factors, and lung function.
RESULTS:
Bis (2-chloro-1-methylethyl) ether (BCIE), was negatively associated with forced vital capacity (FVC, -2.05%, 95% CI: -3.11% to -0.97%), and associated with changes in inflammatory factors such as interleukin (IL)-2, IL-7, IL-8, and IL-13 in the low thyroid hormone group. The mediation analysis indicated a mediating effect of IL-2 (15.63%, 95% CI: 0.91% to 44.64%) and IL-13 (13.94%, 95% CI: 0.52% to 41.07%) in the association between BCIE exposure and FVC.
CONCLUSION
Lung function and inflammatory factors exhibited an increased sensitivity to organochlorine exposure at lower thyroid hormone levels, with inflammatory factors potentially mediating the adverse effects of organochlorines on lung function.
Environmental Exposure
;
Hydrocarbons, Chlorinated/metabolism*
;
China
;
Ethyl Ethers/metabolism*
;
Environmental Monitoring
;
Thyroid Hormones/blood*
;
Lung/physiology*
;
Inhalation Exposure/statistics & numerical data*
;
Air Pollution/statistics & numerical data*
;
Air Pollutants/metabolism*
;
Humans
;
Male
;
Female
;
Middle Aged
;
Aged
5.Causal Associations between Particulate Matter 2.5 (PM 2.5), PM 2.5 Absorbance, and Inflammatory Bowel Disease Risk: Evidence from a Two-Sample Mendelian Randomization Study.
Xu ZHANG ; Zhi Meng WU ; Lu ZHANG ; Bing Long XIN ; Xiang Rui WANG ; Xin Lan LU ; Gui Fang LU ; Mu Dan REN ; Shui Xiang HE ; Ya Rui LI
Biomedical and Environmental Sciences 2025;38(2):167-177
OBJECTIVE:
Several epidemiological observational studies have related particulate matter (PM) exposure to Inflammatory bowel disease (IBD), but many confounding factors make it difficult to draw causal links from observational studies. The objective of this study was to explore the causal association between PM 2.5 exposure, its absorbance, and IBD.
METHODS:
We assessed the association of PM 2.5 and PM 2.5 absorbance with the two primary forms of IBD (Crohn's disease [CD] and ulcerative colitis [UC]) using Mendelian randomization (MR) to explore the causal relationship. We conducted two-sample MR analyses with aggregated data from the UK Biobank genome-wide association study. Single-nucleotide polymorphisms linked with PM 2.5 concentrations or their absorbance were used as instrumental variables (IVs). We used inverse variance weighting (IVW) as the primary analytical approach and four other standard methods as supplementary analyses for quality control.
RESULTS:
The results of MR demonstrated that PM 2.5 had an adverse influence on UC risk (odds ratio [ OR] = 1.010; 95% confidence interval [ CI] = 1.001-1.019, P = 0.020). Meanwhile, the results of IVW showed that PM 2.5 absorbance was also causally associated with UC ( OR = 1.012; 95% CI = 1.004-1.019, P = 0.002). We observed no causal relationship between PM 2.5, PM 2.5 absorbance, and CD. The results of sensitivity analysis indicated the absence of heterogeneity or pleiotropy, ensuring the reliability of MR results.
CONCLUSION
Based on two-sample MR analyses, there are potential positive causal relationships between PM 2.5, PM 2.5 absorbance, and UC.
Humans
;
Mendelian Randomization Analysis
;
Particulate Matter/analysis*
;
Polymorphism, Single Nucleotide
;
Inflammatory Bowel Diseases/genetics*
;
Air Pollutants/analysis*
;
Crohn Disease/genetics*
;
Colitis, Ulcerative/genetics*
;
Genome-Wide Association Study
;
Risk Factors
;
Environmental Exposure
6.Separate and Combained Associations of PM 2.5 Exposure and Smoking with Dementia and Cognitive Impairment.
Lu CUI ; Zhi Hui WANG ; Yu Hong LIU ; Lin Lin MA ; Shi Ge QI ; Ran AN ; Xi CHEN ; Hao Yan GUO ; Yu Xiang YAN
Biomedical and Environmental Sciences 2025;38(2):194-205
OBJECTIVE:
The results of limited studies on the relationship between environmental pollution and dementia have been contradictory. We analyzed the combined effects of PM 2.5 and smoking on the prevalence of dementia and cognitive impairment in an elderly community-dwelling Chinese population.
METHODS:
We assessed 24,117 individuals along with the annual average PM 2.5 concentrations from 2012 to 2016. Dementia was confirmed in the baseline survey at a qualified clinical facility, and newly suspected dementia was assessed in 2017, after excluding cases of suspected dementia in 2015. National census data were used to weight the sample data to reflect the entire population in China, with multiple logistic regression performed to analyze the combined effects of PM 2.5 and smoking frequency on dementia and cognitive impairment.
RESULTS:
Individuals exposed to the highest PM 2.5 concentration and smoked daily were at higher risk of dementia than those in the lowest PM 2.5 concentration group ( OR, 1.603; 95% CI [1.626-1.635], P < 0.0001) and in the nonsmoking group ( OR, 1.248; 95% CI [1.244-1.252]; P < 0.0001). Moderate PM 2.5 exposure and occasional smoking together increased the short-term risk of cognitive impairment. High-level PM 2.5 exposure and smoking were associated with an increased risk of dementia, so more efforts are needed to reduce this risk through environmental protection and antismoking campaigns.
CONCLUSION
High-level PM 2.5 exposure and smoking were associated with an increased risk of dementia. Lowering the ambient PM 2.5, and smoking cessation are recommended to promote health.
Humans
;
Dementia/etiology*
;
Male
;
Aged
;
Female
;
Cognitive Dysfunction/etiology*
;
China/epidemiology*
;
Particulate Matter/analysis*
;
Smoking/epidemiology*
;
Air Pollutants/analysis*
;
Aged, 80 and over
;
Environmental Exposure/adverse effects*
;
Prevalence
;
Middle Aged
7.Identifying High-Risk Areas for Type 2 Diabetes Mellitus Mortality in Guangdong, China: Spatiotemporal Clustering and Socioenvironmental Determinants.
Hai Ming LUO ; Wen Biao HU ; Yan Jun XU ; Xue Yan ZHENG ; Qun HE ; Lu LYU ; Rui Lin MENG ; Xiao Jun XU ; Fei ZOU
Biomedical and Environmental Sciences 2025;38(5):585-597
OBJECTIVE:
This study aimed to identify high-risk areas for type 2 diabetes mellitus (T2DM) mortality to provide relevant evidence for interventions in emerging economies.
METHODS:
Empirical Bayesian Kriging and a discrete Poisson space-time scan statistic were applied to identify the spatiotemporal clusters of T2DM mortality. The relationships between economic factors, air pollutants, and the mortality risk of T2DM were assessed using regression analysis and the Poisson Log-linear Model.
RESULTS:
A coastal district in East Guangdong, China, had the highest risk (Relative Risk [RR] = 4.58, P < 0.01), followed by the 10 coastal districts/counties in West Guangdong, China (RR = 2.88, P < 0.01). The coastal county in the Pearl River Delta, China (RR = 2.24, P < 0.01), had the third-highest risk. The remaining risk areas were two coastal counties in East Guangdong, 16 districts/counties in the Pearl River Delta, and two counties in North Guangdong, China. Mortality due to T2DM was associated with gross domestic product per capita (GDP per capita). In pilot assessments, T2DM mortality was significantly associated with carbon monoxide.
CONCLUSION
High mortality from T2DM occurred in the coastal areas of East and West Guangdong, especially where the economy was progressing towards the upper middle-income level.
Diabetes Mellitus, Type 2/epidemiology*
;
China/epidemiology*
;
Humans
;
Risk Factors
;
Spatio-Temporal Analysis
;
Air Pollutants/analysis*
;
Socioeconomic Factors
;
Bayes Theorem
;
Female
;
Male
;
Middle Aged
8.Association between Solid Cooking Fuel Use and Frailty Trajectories: Findings from a Nationwide Cohort in China.
Yang LIU ; Bing Jie WU ; Bing Bing FAN ; Chun Xia LI ; Chang SU ; Ai Dong LIU ; Tao ZHANG
Biomedical and Environmental Sciences 2025;38(6):653-665
OBJECTIVE:
Burning solid cooking fuel contributes to household air pollution and is associated with frailty. However, how solid cooking fuel use contributes to the development of frailty has not been well illustrated.
METHODS:
This study recruited 8,947 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study, 2011-2018. Group-based trajectory modeling was employed to identify frailty trajectories. Multinomial logistic regression was used to assess the association between solid cooking fuel use and frailty trajectories. Population-attributable fractions were used to estimate the frailty burden from solid fuel use.
RESULTS:
We identified three frailty trajectories: low-stable ( n = 5,789), moderate-increasing ( n = 2,603), and fast-increasing ( n = 555). Solid fuel use was associated with higher odds of being in the moderate-increasing ( OR: 1.24, 95% CI: 1.08-1.42) and fast-increasing ( OR: 1.48, 95% CI: 1.14-1.92) trajectories. These associations were strengthened by longer solid fuel use ( P for trend < 0.001). Switching to clean fuel significantly reduced the risk of being in these trajectories compared with persistent solid fuel users. Without solid fuel, 8% of moderate- and 19% of fast-increasing trajectories demonstrated frailty development like the low-stable group.
CONCLUSION
Solid cooking fuel use is associated with frailty trajectories in middle-aged and older Chinese populations.
Humans
;
China/epidemiology*
;
Cooking
;
Male
;
Female
;
Middle Aged
;
Aged
;
Air Pollution, Indoor/adverse effects*
;
Frailty/etiology*
;
Longitudinal Studies
;
Cohort Studies
9.Independent and Interactive Effects of Air Pollutants, Meteorological Factors, and Green Space on Tuberculosis Incidence in Shanghai.
Qi YE ; Jing CHEN ; Ya Ting JI ; Xiao Yu LU ; Jia le DENG ; Nan LI ; Wei WEI ; Ren Jie HOU ; Zhi Yuan LI ; Jian Bang XIANG ; Xu GAO ; Xin SHEN ; Chong Guang YANG
Biomedical and Environmental Sciences 2025;38(7):792-809
OBJECTIVE:
To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases.
METHODS:
TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases.
RESULTS:
Increased TB risk was linked to PM 2.5, PM 10, and rainfall, whereas NO 2, SO 2, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM 2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM 10 ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO 2 ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO 2 ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM 2.5 on TB.
CONCLUSION
Exposure to PM 2.5, PM 10, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology*
;
Humans
;
Air Pollutants/analysis*
;
Tuberculosis/epidemiology*
;
Incidence
;
Meteorological Concepts
;
Particulate Matter/adverse effects*
;
Environmental Exposure
;
Male
;
Female
;
Adult
;
Air Pollution
;
Middle Aged
10.Health Risks from Exposure to PM 2.5-bound Polycyclic Aromatic Hydrocarbons in Fumes Emitted from Various Cooking Styles and Their Respiratory Deposition in a City Population Stratified by Age and Sex.
Jun Feng ZHANG ; Xi CHEN ; Ke GAO ; Shui Yuan CHENG ; Wen Jiao DUAN ; Li Ying FU ; Jian Jia LI ; Shu Shu LAN ; Cui Lan FANG
Biomedical and Environmental Sciences 2025;38(10):1230-1245
OBJECTIVES:
To characterize fine particulate matter (PM 2.5)-bound polycyclic aromatic hydrocarbons (PAHs) emitted from different cooking fumes and their exposure routes and assess their health-associated impact to provide a reference for health risk prevention from PAH exposure across different age and sex groups.
METHODS:
Sixteen PM 2.5-bound PAHs emitted from 11 cooking styles were analyzed using GC-MS/MS. The health hazards of these PAHs in the Handan City population (stratified by age and sex) were predicted using the incremental lifetime cancer risk ( ILCR) model. The respiratory deposition doses ( RDDs) of the PAHs in children and adults were calculated using the PM 2.5 deposition rates in the upper airway, tracheobronchial, and alveolar regions.
RESULTS:
The total concentrations of PM 2.5-bound PAHs ranged from 61.10 to 403.80 ng/m 3. Regardless of cooking styles, the ILCR total values for adults (1.23 × 10 -6 to 3.70 × 10 -6) and older adults (1.28 × 10 -6 to 3.88 × 10 -6) exceeded the acceptable limit of 1.00 × 10 -6. With increasing age, the ILCR total value first declined and then increased, varying substantially among the population groups. Cancer risk exhibited particularly high sensitivity to short exposure to barbecue-derived PAHs under equivalent body weights. Furthermore, barbecue, Sichuan and Hunan cuisine, Chinese cuisine, and Chinese fast food were associated with higher RDDs for both adults and children.
CONCLUSION
ILCR total values exceeded the acceptable limit for both females and males of adults, with all cooking styles showing a potentially high cancer risk. Our findings serve as an important reference for refining regulatory strategies related to catering emissions and mitigating health risks associated with cooking styles.
Humans
;
Polycyclic Aromatic Hydrocarbons/analysis*
;
Cooking/methods*
;
Male
;
Female
;
Particulate Matter/analysis*
;
Adult
;
Child
;
Middle Aged
;
Air Pollutants/analysis*
;
Adolescent
;
Air Pollution, Indoor/analysis*
;
Young Adult
;
Child, Preschool
;
Aged
;
China
;
Inhalation Exposure
;
Age Factors
;
Sex Factors
;
Cities
;
Infant

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