Histological and Endocrine Effects of Chronic Exposure to MP2.5 Derived from Wood Smoke in the Uterus of Nulliparous Adult Rats

SUMMARY: The study explores the relationship between chronic exposure to fine particulate matter (PM2.5), sourced from wood smoke, and the histological structure and endocrine function of the uterus in nulliparous adult rats. It assesses potential structural changes in the uterus that could impact reproductive health, viewing PM2.5 exposure as a possible risk factor. A controlled experiment was conducted in a city known for high air pollution levels, exposing rats to filtered and unfiltered air conditions, thus mimicking human PM2.5 exposure. Histological findings indicated a significant increase in collagen density and uterine wall thickness in PM2.5 exposed subjects, suggesting a reproductive function risk. However, no significant differences were observed in progesterone and estradiol hormone levels, pointing to the complex relationship between PM2.5 exposure and its endocrine impact, and emphasizing the need for further studies for a deeper understanding. This work highlights the importance of thoroughly investigating the long-term effects of PM2.5 pollution on reproductive health, underlining the significance of considering environmental exposure as a critical factor in reproductive health research.

El estudio explora la relación entre la exposición crónica a partículas finas (PM2,5), procedentes del humo de leña, y la estructura histológica y la función endocrina del útero en ratas adultas nulíparas. Evalúa posibles cambios estructurales en el útero que podrían afectar la salud reproductiva, considerando la exposición a PM2,5 como un posible factor de riesgo. Se llevó a cabo un experimento controlado en una ciudad conocida por sus altos niveles de contaminación del aire, exponiendo ratas a condiciones de aire filtrado y sin filtrar, imitando así la exposición humana a PM2,5. Los hallazgos histológicos indicaron un aumento significativo en la densidad del colágeno y el grosor de la pared uterina en sujetos expuestos a PM2,5, lo que sugiere un riesgo para la función reproductiva. Sin embargo, no se observaron diferencias significativas en los niveles de las hormonas progesterona y estradiol, lo que apunta a la compleja relación entre la exposición a PM2,5 y su impacto endocrino, y enfatiza la necesidad de realizar más estudios para una comprensión más profunda. Este trabajo destaca la importancia de investigar a fondo los efectos a largo plazo de la contaminación por PM2,5 en la salud reproductiva, subrayando la importancia de considerar la exposición ambiental como un factor crítico en la investigación de la salud reproductiva.

Effects of PM2.5 and heat/cold exposure on AKT/GLUT4 pathway in mouse skeletal muscle and white adipose tissue / 环境与职业医学

Background It is unclear if there is any combined effect of air pollutants and non-optimal temperature on metabolic syndrome, or any molecular mechanisms of related signaling pathways in the process, which requires urgent systematic research. Objective To observe the effects of combined exposure to PM2.5 and non-optimal temperature on metabolic damage at gene and protein levels in mice, and elucidate the role of related signaling pathway in crucial organs. Methods A total of 60 six-week-old male C57BL/6J mice were randomly divided into six groups: a normal temperature-filter air group (TN-FA), a normal temperature-concentrated PM2.5 group (TN-PM), a heat-filter air group (TH-FA), a heat-concentrated PM2.5 group (TH-PM), a cold-filter air group (TC-FA), and a cold-concentrated PM2.5 group (TC-PM). The Shanghai Meteorological and Environmental Animal Exposure System (Shanghai-METAS) was used to provide combined exposure settings of air types [concentrated PM2.5 and filter air (FA)] and temperatures [normal (22°C), cold (4°C), and heat (30°C)] for 4 weeks. Skeletal muscle and white adipose tissue (WAT) of the mice were sampled at the end of exposure, and transcriptomics and Western blot (WB) assay were adopted to observe selected gene and protein expression levels in the samples respectively. Results The transcriptomics results indicated that the PM2.5 exposure enhanced the number of differentially expressed genes. Specifically, 4820 genes were differentially expressed in the TN-PM mice compared to the TN-FA mice at normal temperature, and 1143 genes were differentially expressed in the Tc-PM mice compared to the Tc-FA mice in the cold environment. The phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling pathway and the endoplasmic reticulum protein processing pathway were identified as the most significant pathways in metabolic injury resulting from combined exposure to PM2.5 and non-optimal temperature exposure. The WB results showed that exposure to PM2.5 in the normal temperature and the cold environments led to a significant increase in the expression of p-AKT in WAT (P<0.01, P<0.05) and a significant decrease in the expression of GLUT4 (P<0.05, P<0.01). In skeletal muscle, exposure to PM2.5 led to a significant decrease in GLUT4 (P<0.05) in all environments, with a consistent trend of change as observed in WAT. Conclusion Cold/heat exposure might promote PM2.5-induced metabolic disorder through suppression of the AKT/GLUT4 pathway, aggravating metabolic damage.

Health risk assessment of inhalation exposure to metallic elements in PM2.5 in four cities of the Pearl River Delta in 2022 / 上海预防医学

ObjectiveTo understand the characteristics of PM2.5 pollution in the air of Pearl River Delta city in Guangdong Province under the COVID-19 epidemic and the health risks of inhaling elements in PM2.5. MethodsIn 2022， 10 PM2.5 monitoring points were set up in 10 districts in Guangzhou， Shenzhen， Foshan and Zhuhai， and air samples were collected for 7 consecutive days every month to analyze the concentration of PM2.5 and the 12 elements in PM2.5. The classic "four-step" method was used to evaluate the carcinogenic risk and chronic non-carcinogenic risk of the elements in air PM2.5 on health. The age-sensitive characteristics of metal elements were combined in the carcinogenic risk assessment， and age-sensitive factors were introduced to analyze the impact of air pollution on population health. ResultsA total of818 samples were collected. and the average annual PM2.5 concentration in the four cities of the Pearl River Delta was 30.17 （1.00-166.00， s=21.06） μg·m-3， which was lower than the concentration limit of the secondary standard of the Ambient Air Quality Standard （GB 3095-2012）. The difference of PM2.5 concentration in the four cities was statistically significant. The PM2.5 concentrations in Zhuhai and Shenzhen， which were located near the sea， were lower than those in Guangzhou and Foshan. The monthly mean concentration of PM2.5 in the four cities was the lowest at 13.70 （4.00-34.00， s=5.93） μg·m-3 in July and the highest at 57.73 （14.00-146.00， s=27.96） μg·m-3 in January， showing a low concentration from May to October and a high concentration from November to April of the following year. The average daily PM2.5 concentration exceeded the secondary standard for 29 days， mainly distributed in January and November. The average annual mass concentration of elements in PM2.5 in the four cities was Al>Mn>Pb>As>Ni>Cr>Se>Sb>Cd>Tl>Be>Hg. AS and Mn have chronic non-carcinogenic risk in population， while Cr， AS， Cd， Be and Ni have carcinogenic risk in population. ConclusionThe PM2.5 pollution levels of the four cities in the Pearl River Delta are low and variable. Coastal cities are lower than non-coastal cities， which shows the characteristics of first decreasing and then increasing throughout the year. The order of mass concentration of metal elements of PM2.5 in four cities is basically the same except Be and Ni. As and Mn in PM2.5 show a certain degree of chronic non-carcinogenic risk， and As， Cr， Cd， Ni and Be have a certain degree of carcinogenic risk. The four cities need to take effective intervention measures to continue to strengthen the pollution control and health protection of Cr， As， Cd and Mn in the air， and control the health burden caused by air pollution.

Moderating effect of salidroside on intestinal microbiota in mice exposed to PM2.5 / 环境与职业医学

Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM2.5 group, and an SAL+PM2.5 group, each containing 10 mice. In the SAL group and the SAL+PM2.5 group, the mice were administered SAL (60 mg·kg−1) by gavage, while in the control group and the PM2.5 group, sterile saline (10 mL·kg−1) was administered by gavage. In the PM2.5 group and the SAL+PM2.5 group, PM2.5 suspension (8 mg·kg−1) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg−1) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM2.5 group showed increased Shannon index compared to the PM2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM2.5 group, and finally, the three groups clustered with the PM2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM2.5 group were significantly decreased. Compared to the control group, the PM2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM2.5 group, the SAL+PM2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM2.5 group (P<0.05). Conclusion Exposure to PM2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.

Life loss caused by type 2 diabetes attributed to outdoor PM2.5 in Suzhou in 2013 - 2022 / 公共卫生与预防医学

Objective To analyze the epidemic trend of type 2 diabetes in Suzhou from 2013 to 2022 and the early death and life loss of type 2 diabetes due to outdoor PM2.5. Methods The indicators of death number, mortality rate, years of early life lost (YLL) and years of life lost per thousand (YLL rate) were selected, and the data of the Global Burden of Disease Study 2021 (GBD2021) were used to analyze the death information of type 2 diabetes in Suzhou. Results The number of deaths, mortality, YLL and YLL rate caused by type 2 diabetes in Suzhou from 2013 to 2022, showed an upward trend, and the number of deaths , YLL and YLL rate of type 2 diabetes attributed to PM2.5 also showed an upward trend (P2.5 totaled 3887 cases , the YLL was 61 974 person years, and the YLL rate was 0.89‰. Conclusion Type 2 diabetes has seriously threatened the health of residents in Suzhou , and the disease burden due to outdoor PM2.5 is on the rise. It is important to carry out three-level prevention and improve air quality for type 2 diabetes to improve the health of residents.

A comparative assessment of air pollutants of smog in wagah border and other sites in Lahore, Pakistan

Abstract Smog has become the fifth season of Pakistan especially in Lahore city. Increased level of air pollutants (primary and secondary) are thought to be responsible for the formation of smog in Lahore. Therefore, the current study was carried out for the evaluation of air pollutants (primary and secondary) of smog in Wagah border particularly and other sites (Jail road, Gulburg) Lahore. For this purpose, baseline data on winter smog from March to December on primary and secondary air pollutants and meteorological parameters was collected from Environmental Protection Department and Pakistan Meteorological Department respectively. Devices being used in both departments for analysis of parameters were also studied. Collected data was further statistically analyzed to determine the correlation of parameters with meteorological conditions and was subjected to air quality index. According to results, PM 10 and PM 2.5 were found very high above the NEQS. NOx concentrations were also high above the permissible limits whereas SO2 and O3 were found below the NEQS thus have no roles in smog formation. Air Quality Index (AQI) of pollutants was PM 2.5(86-227), PM 10 (46-332), NOx (26-110), O3 (19-84) and SO2 (10-95). AQI of PM 2.5 remained between moderate to very unhealthy levels. AQI of PM 10 remained between good to hazardous levels. AQI of NOx remained between good to unhealthy for sensitive groups levels. AQI of O3 and SO2 remained between good to moderate levels. Pearson correlation showed that every pollutant has a different relation with different or same parameters in different areas. It is concluded from the present study that particulate matter was much more responsible for smog formation. Although NOx also played role in smog formation. So there is need to reduce sources of particulate matter and NOx specifically in order to reduce smog formation in Lahore.

Resumo Smog tornou-se a quinta estação do Paquistão, especialmente na cidade de Lahore. Acredita-se que o aumento do nível de poluentes atmosféricos (primários e secundários) seja responsável pela formação de poluição atmosférica em Lahore. Portanto, o presente estudo foi realizado para a avaliação dos poluentes atmosféricos (primários e secundários) do smog na fronteira de Wagah em particular e em outros locais (Jail road, Gulburg) Lahore. Para este propósito, os dados de referência sobre a poluição atmosférica de inverno de março a dezembro sobre poluentes atmosféricos primários e secundários e parâmetros meteorológicos foram coletados do Departamento de Proteção Ambiental e do Departamento Meteorológico do Paquistão, respectivamente. Dispositivos sendo usados em ambos os departamentos para análise de parâmetros também foram estudados. Os dados coletados foram posteriormente analisados estatisticamente para determinar a correlação dos parâmetros com as condições meteorológicas e foram submetidos ao índice de qualidade do ar. De acordo com os resultados, PM 10 e PM 2,5 foram encontrados muito acima do NEQS. As concentrações de NOx também estavam muito acima dos limites permitidos, enquanto SO2 e O3 foram encontrados abaixo do NEQS, portanto, não têm papéis na formação de smog. O índice de qualidade do ar (AQI) de poluentes foi PM 2,5 (86-227), PM 10 (46-332), NOx (26-110), O3 (19-84) e SO2 (10-95). O AQI de PM 2,5 permaneceu entre níveis moderados a muito prejudiciais à saúde. O AQI de PM 10 permaneceu entre níveis bons e perigosos. AQI de NOx permaneceu entre bom e não saudável para os níveis de grupos sensíveis. O AQI de O3 e SO2 permaneceu entre níveis bons a moderados. A correlação de Pearson mostrou que cada poluente tem uma relação diferente com parâmetros diferentes ou iguais em áreas diferentes. Conclui-se do presente estudo que o material particulado foi muito mais responsável pela formação de smog. Embora o NOx também tenha desempenhado um papel na formação do smog. Portanto, é necessário reduzir as fontes de partículas e NOx, especificamente para reduzir a formação de smog em Lahore.

A comparative assessment of air pollutants of smog in wagah border and other sites in Lahore, Pakistan / Uma avaliação comparativa de poluentes do ar do smog na fronteira de wagah e outros sites em Lahore, Paquistão

Abstract Smog has become the fifth season of Pakistan especially in Lahore city. Increased level of air pollutants (primary and secondary) are thought to be responsible for the formation of smog in Lahore. Therefore, the current study was carried out for the evaluation of air pollutants (primary and secondary) of smog in Wagah border particularly and other sites (Jail road, Gulburg) Lahore. For this purpose, baseline data on winter smog from March to December on primary and secondary air pollutants and meteorological parameters was collected from Environmental Protection Department and Pakistan Meteorological Department respectively. Devices being used in both departments for analysis of parameters were also studied. Collected data was further statistically analyzed to determine the correlation of parameters with meteorological conditions and was subjected to air quality index. According to results, PM 10 and PM 2.5 were found very high above the NEQS. NOx concentrations were also high above the permissible limits whereas SO2 and O3 were found below the NEQS thus have no roles in smog formation. Air Quality Index (AQI) of pollutants was PM 2.5(86-227), PM 10 (46-332), NOx (26-110), O3 (19-84) and SO2 (10-95). AQI of PM 2.5 remained between moderate to very unhealthy levels. AQI of PM 10 remained between good to hazardous levels. AQI of NOx remained between good to unhealthy for sensitive groups' levels. AQI of O3 and SO2 remained between good to moderate levels. Pearson correlation showed that every pollutant has a different relation with different or same parameters in different areas. It is concluded from the present study that particulate matter was much more responsible for smog formation. Although NOx also played role in smog formation. So there is need to reduce sources of particulate matter and NOx specifically in order to reduce smog formation in Lahore.

Resumo Smog tornou-se a quinta estação do Paquistão, especialmente na cidade de Lahore. Acredita-se que o aumento do nível de poluentes atmosféricos (primários e secundários) seja responsável pela formação de poluição atmosférica em Lahore. Portanto, o presente estudo foi realizado para a avaliação dos poluentes atmosféricos (primários e secundários) do smog na fronteira de Wagah em particular e em outros locais (Jail road, Gulburg) Lahore. Para este propósito, os dados de referência sobre a poluição atmosférica de inverno de março a dezembro sobre poluentes atmosféricos primários e secundários e parâmetros meteorológicos foram coletados do Departamento de Proteção Ambiental e do Departamento Meteorológico do Paquistão, respectivamente. Dispositivos sendo usados ​​em ambos os departamentos para análise de parâmetros também foram estudados. Os dados coletados foram posteriormente analisados ​​estatisticamente para determinar a correlação dos parâmetros com as condições meteorológicas e foram submetidos ao índice de qualidade do ar. De acordo com os resultados, PM 10 e PM 2,5 foram encontrados muito acima do NEQS. As concentrações de NOx também estavam muito acima dos limites permitidos, enquanto SO2 e O3 foram encontrados abaixo do NEQS, portanto, não têm papéis na formação de smog. O índice de qualidade do ar (AQI) de poluentes foi PM 2,5 (86-227), PM 10 (46-332), NOx (26-110), O3 (19-84) e SO2 (10-95). O AQI de PM 2,5 permaneceu entre níveis moderados a muito prejudiciais à saúde. O AQI de PM 10 permaneceu entre níveis bons e perigosos. AQI de NOx permaneceu entre bom e não saudável para os níveis de grupos sensíveis. O AQI de O3 e SO2 permaneceu entre níveis bons a moderados. A correlação de Pearson mostrou que cada poluente tem uma relação diferente com parâmetros diferentes ou iguais em áreas diferentes. Conclui-se do presente estudo que o material particulado foi muito mais responsável pela formação de smog. Embora o NOx também tenha desempenhado um papel na formação do smog. Portanto, é necessário reduzir as fontes de partículas e NOx, especificamente para reduzir a formação de smog em Lahore.

Application of GM(1,1) model modified with seasonal factors in prediction of PM2.5 concentration in Shanghai / 公共卫生与预防医学

Objective To explore PM2.5 concentration modeling and prediction based on the monthly average concentrations of PM2.5 in Shanghai since 2015, and to provide new ideas about PM2.5 prediction methods. Methods The seasonal factors were introduced into the Grey Model (GM). GM(1,1) model modified with seasonal factors was established and compared with seasonal autoregressive integrated moving average model (ARIMA) model. The data of 2015-2021 was used for modeling and prediction, and the data from January to October in 2022 was used as a validation set to evaluate the prediction effectiveness. The monthly average PM2.5 concentrations in Shanghai from November to December in 2022 were predicted. Results Seasonal ARIMA model showed RMSE=4.02 and MAPE=15.50% in the validation set, while GM(1,1) model modified with seasonal factors showed RMSE=3.30 and MAPE=11.59%. GM(1,1) model modified with seasonal factors predicted the monthly average PM2.5 concentrations in Shanghai from November to December in 2022 to be 24.99 and 34.83μg/m3, respectively. Conclusion The prediction effect of GM(1,1) model modified with seasonal factors has better predictive performance than seasonal ARIMA model. The grey prediction model modified with seasonal factors can be considered when predicting seasonal time series such as the concentration of PM2.5.

Pollution characteristics and sources of PM2.5 during heating and non-heating periods in Urumqi City in 2021 / 中国热带医学

@#Abstract: Objective　To understand the pollution characteristics and sources of PM2.5 in the atmosphere during heating and non-heating periods in Urumqi City in 2021, and provide scientific basis for pollution control during different periods. Method A total of 188 air samples were collected from area A and area B of Urumqi City, and 12 metal elements and 5 water-soluble ions were quantitatively analyzed, and the pollution sources were analyzed by enrichment factor method and principal component analysis method. Results In 2021, the mass concentrations of PM2.5 in areas A and B of Urumqi were 45.0 (20.0, 158) µg/m3 and 28.0 (17.5, 66.0) µg/m3, respectively, with statistically significant difference (Z=-2.870, P<0.05). During the heating period, the concentrations were 110 (68.0, 250) µg/m3 and 61.0 (31.0, 88.0) µg/m3, respectively, with no statistically significant difference (Z=-3.822, P<0.01). During the non-heating period, the concentrations were 18.0 (13.0, 22.3) µg/m3 and 18.0 (12.8, 22.0) µg/m3, respectively, with no statistically significant difference (Z=-0.596, P>0.05). The SNA (the sum of SO42-, NO3-and NH4+) accounted for 71.7% and 23.4% of PM2.5 in A area during heating and non-heating periods, respectively, with statistically significant difference (Z=-8.057, P<0.01); the corresponding proportions in B area were 60.7% and 24.9%, with statistically significant difference (Z=-6.672, P<0.01). During the heating and non-heating periods, the ratios of NO3-/SO42-are 0.63 and 0.54 in A area were 0.63 and 0.54, respectively, with statistically significant difference (Z=-2.382, P<0.05); and the corresponding ratios in B area were 0.72 and 0.53, respectively, with statistically significant difference (Z=-3.182, P<0.05). The ratio of NO3- to SO42- was less than 1 in both heating and non-heating periods in the two areas. and the correlation between five water-soluble ions was significant (P<0.05). The correlation coefficient between NH4+ and SO42-, NO3-and Cl- in A and B areas during heating periods were all >0.9, indicating that NH4+and SO42-, NO3- and Cl- bind in (NH4)2SO4, NH4HSO4, NH4NO3, and NH4Cl. During non-heating periods, the correlation between NH4+ and each ion was slightly lower. During heating periods in area A, Sb, As, Cd, Pb, and Tl were severely enriched (EF>100). During non-heating periods in the same area, As, Cd, Pb, Tl, and Hg were severely enriched (EF>100). During heating periods in area B, Sb, As, Cd, Pb, and Hg were severely enriched (EF>100), and during non-heating periods in the same area, Sb, Cd, and Hg were severely enriched (EF>100). Coal emission, photochemical secondary pollution, motor vehicle exhaust, dust and industrial pollution were the main sources of PM2.5 pollution in the two areas, and the contribution rate of fixed sources was higher than that of mobile sources. Conclusion In 2021, the mass concentration of PM2.5, water-soluble ions and metal elements in Urumqi City were higher in area A than area B, the heating period was higher than the non-heating period, the excess rate of area A was higher than that in area B, and the contribution rate of fixed air pollution was greater than that of mobile sources.

Ambient Fine Particulate Matter Exposure and Blood Pressure: Evidence from a Large Chinese Multiple Follow-Up Study / 生物医学与环境科学（英文）

OBJECTIVE@#This study aimed to investigate the association of ambient PM2.5 exposure with blood pressure (BP) at the population level in China.@*METHODS@#A total of 14,080 participants who had at least two valid blood pressure records were selected from the China Health and Retirement Longitudinal Survey during 2011-2015. Their long-term PM2.5 exposure was assessed at the geographical level, on the basis of a regular 0.1° × 0.1° grid over China. A mixed-effects regression model was used to assess associations.@*RESULTS@#Each decrease of 10 μg/m3 in the 1 year-mean PM2.5 concentration (FPM1Y) was associated with a decrease of 1.24 [95% confidence interval (CI): 0.84-1.64] mmHg systolic BP (SBP) and 0.50 (95% CI: 0.25-0.75) mmHg diastolic BP (DBP), respectively. A robust association was observed between the long-term decrease in PM2.5 and decreased BP in the middle-aged and older population. Using a generalized additive mixed model, we further found that SBP increased nonlinearly overall with FPM1Y but in an approximately linear range when the FPM1Y concentration was < 70 µg/m3; In contrast, DBP increased approximately linearly without a clear threshold.@*CONCLUSION@#Efficient control of PM2.5 air pollution may promote vascular health in China. Our study provides robust scientific support for making the related air pollution control policies.

Joint effects of meteorological factors and PM2.5 on age-related macular degeneration: a national cross-sectional study in China

BACKGROUND@#Weather conditions are a possible contributing factor to age-related macular degeneration (AMD), a leading cause of irreversible loss of vision. The present study evaluated the joint effects of meteorological factors and fine particulate matter (PM2.5) on AMD.@*METHODS@#Data was extracted from a national cross-sectional survey conducted across 10 provinces in rural China. A total of 36,081 participants aged 40 and older were recruited. AMD was diagnosed clinically by slit-lamp ophthalmoscopy, fundus photography, and spectral domain optical coherence tomography (OCT). Meteorological data were calculated by European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis and were matched to participants' home addresses by latitude and longitude. Participants' individual PM2.5 exposure concentrations were calculated by a satellite-based model at a 1-km resolution level. Multivariable-adjusted logistic regression models paired with interaction analysis were performed to investigate the joint effects of meteorological factors and PM2.5 on AMD.@*RESULTS@#The prevalence of AMD in the study population was 2.6% (95% CI 2.42-2.76%). The average annual PM2.5 level during the study period was 63.1 ± 15.3 µg/m3. A significant positive association was detected between AMD and PM2.5 level, temperature (T), and relative humidity (RH), in both the independent and the combined effect models. For PM2.5, compared with the lowest quartile, the odds ratios (ORs) with 95% confidence intervals (CIs) across increasing quartiles were 0.828 (0.674,1.018), 1.105 (0.799,1.528), and 2.602 (1.516,4.468). Positive associations were observed between AMD and temperature, with ORs (95% CI) of 1.625 (1.059,2.494), 1.619 (1.026,2.553), and 3.276 (1.841,5.830), across increasing quartiles. In the interaction analysis, the estimated relative excess risk due to interaction (RERI) and the attributable proportion (AP) for combined atmospheric pressure and PM2.5 was 0.864 (0.586,1.141) and 1.180 (0.768,1.592), respectively, indicating a synergistic effect between PM2.5 and atmospheric pressure.@*CONCLUSIONS@#This study is among the first to characterize the coordinated effects of meteorological factors and PM2.5 on AMD. The findings warrant further investigation to elucidate the relationship between ambient environment and AMD.

Synergetic effect of temperature and PM2.5 on mortality of cardiovascular and cerebrovascular diseases / 上海预防医学

ObjectiveTo explore the synergetic effect of temperature and PM2.5 on cardiovascular and cerebrovascular diseases. MethodWe collected cardiovascular and cerebrovascular death cases，air pollution and meteorological data during the same period in Pudong New Area from 2013 to 2018.We used generalized additive models （GAMs） with poisson regression including non-stratification model， nonparametric bivariate response model and pollution-stratified parametric model， to assess the interaction between temperature and PM2.5 and on the number of cardiovascular cerebrovascular and cerebrovascular disease deaths. ResultsThe exposure-response relationship between temperature and the number of cardiovascular and cerebrovascular deaths exhibited "U" type and the most comfortable temperature was 18.9 ℃. When the concentrations of PM2.5 increased by 10 μg·m-3， the deaths of total， male， female， ≤75 years and >75 years increased， respectively， by 0.60%（95%CI： 0.30%‒0.91%）， 0.77%（95%CI：0.34%‒1.20%）， 0.46%（95%CI：0.05%‒0.86%）， 0.66%（95%CI：0.03%‒1.30%） and 0.59%（95%CI：0.26%‒0.92%）. With the increase of PM2.5 concentration level， the impact of temperature on cardiovascular and cerebrovascular diseases gradually increased， and the impact was the most significant when the concentration of PM2.5 was more than 150 µg·m-3. There were different sensitive people in different seasons. ConclusionPM2.5 concentration levels of mild pollution and above can exacerbate the negative effects of temperature on cardiovascular and cerebrovascular diseases.

Correlation between PM 2.5 in Taiyuan city and the number of elderly patients with chronic kidney disease admitted to hospital from 2019 to 2021 / 中华肾脏病杂志

Objective:To investigate the correlation between atmospheric particulate matter 2.5 (PM 2.5) concentration and the number of chronic kidney disease (CKD) hospital admissions in the elderly in Taiyuan city. Methods:The atmospheric PM 2.5 concentration in Taiyuan city during 2019—2021 was used as the environmental exposure data, and the number of CKD admission of the elderly patients (> 60 years old) in Taiyuan city at the same time was used as the disease progression index. The distributed lag nonlinear model was used to analyze overall and lag effects of PM 2.5 average daily concentration on the elderly patients admitted to CKD. Results:A total of 6 037 cases elderly patients with CKD admitted to hospital were included, with a male-to-female ratio of 1.36∶1. The average daily concentration of PM 2.5 was 52.80 μg/m 3, which did not exceed China's air quality standard (75 μg/m3); But in autumn and winter, the average daily concentration of PM 2.5 significantly exceeded the normal reference value, with the highest value reaching 302 μg/m 3. The relationship between the average daily concentration of PM 2.5 and the number of elderly patients admitted to CKD was nonlinear and there was a lag effect. The relative risk ( RR) value reached the maximum when PM 2.5 average daily concentration was 87 μg/m 3 with lag time of 11 days [1.074(95% CI 1.018-1.321)]. The subgroup analysis results showed that the risk of admission of elderly female CKD patients was higher than that of male patients with lag time of 10 days, and the RR was 1.073(95% CI 1.001-1.151). Elderly CKD patients with hypertension (PM 2.5 87 μg/m 3) and diabetes (PM 2.5 88 μg/m 3) had a higher risk of admission when exposed to PM 2.5, with maximum RR values of 1.067(95% CI 1.002-1.136) and 1.162(95% CI 1.021-1.320), respectively. Conclusions:High atmospheric PM 2.5 concentration in Taiyuan city can increase the risk of admission in elderly patients with CKD, especially in women and patients with hypertension or diabetes.

Pollution characteristics, long-term variation trend, and health risk assessment of lead in ambient PM2.5 in Jinan / 环境与职业医学

Background A number of studies have shown that heavy metals in atmospheric PM2.5 have impacts on human health, while studies on the impact of long-term and low-concentration exposure to lead in PM2.5 on human health are limited. Objective To investigate the pollution characteristics of lead in ambient PM2.5 and assess its chronic health risks. Methods Daily PM2.5 concentration data in Jinan from 2014 to 2019 were collected, and the year-by-year trend of PM2.5 concentration was analyzed. Licheng District (an industrial area) and Shizhong District (a residential area) were elected to install an ambient PM2.5 monitoring stationrespectively. The sampling instrument was a 100 L·min−1 high-flow PM2.5 sampler, with a cumulative sampling time of 20-24 h per day, using a quartz fiber filter membrane for lead detection and a glass fiber filter membrane for PM2.5 determination. The sampling frequency was 7 consecutive days per month from the 10th to the 16th (A total of 493 d were sampled and some were missing; 172 d during the heating period and 321 d during the non-heating period). Two PM2.5 samples were collected in one monitoring site each day. A total of 986 samples were collected in one monitoring site. The lead content in PM2.5 samples was detected by inductively coupled plasma mass spectrometry. The concentration of PM2.5 was measured by weighing method. The annual average concentration and enrichment factor of lead in PM2.5, the change trend of lead content per unit mass of PM2.5, and the difference between heating period and non-heating period from 2014 to 2019 were estimated. Technical guide for environment health risk assessment of chemical exposure (WS/T 777-2021) was used to assess the health risks of exposure to lead in PM2.5. Results The average annual concentration of lead in PM2.5 ranged from 23.2 ng·m−3 to 154.7 ng·m−3. The average concentration in heating period from 2015 to 2019 was higher than that in non-heating period, and the differences in 2015, 2017, and 2019 were statistically significant (P < 0.01 or 0.001). The enrichment factors ranged from 200 to 1342 in 2014 to 2019. The average enrichment factors in heating period in 2015, 2017, and 2018 was higher than those in non-heating period, and the difference was statistically significant (P < 0.05 or 0.001). The lead contents per unit mass of PM2.5 ranged from 493 ng·mg−1 to 1944 ng·mg−1, and the differences between heating period and non-heating period in 2014, 2017, and 2018 were statistically significant (P < 0.05 or 0.001). The average annual concentration and enrichment factor of lead in PM2.5 showed a downward trend, and thus the lead content per unit mass of PM2.5 also decreased. From 2014 to 2019, the carcinogenic risk of lead in PM2.5 in Jinan ranged from 1.69×10−8 to 2.45×10−6, showing a significant downward trend year by year, and the 95th percentile decreased by 3%-46% from the previous year. The carcinogenic risk level of lead was reduced to an acceptable level (<1×10−6) after 2017. Conclusion From 2015 to 2019, lead concentration and enrichment factor in PM2.5 increase during heating period compared with non-heating period, but it is not completely consistent of lead content in PM2.5 per unit mass. From 2014 to 2016, exposure to lead in PM2.5 may elevate carcinogenic risk to human. After 2017, the carcinogenic risks of exposure to lead in PM2.5 are at an acceptable level.

Research progress on influence of PM2.5 on allergic rhinitis / 环境与职业医学

Allergic rhinitis (AR) is one of the main chronic inflammatory diseases that pose a global threat. Its symptoms persist for a long time, recur, and seriously affect the physical and mental health of the patients. Existing research has shown that the occurrence and development of AR are related to genetic and environmental factors. In recent years, the harm of air pollution to human health has received increasing attention, and fine particulate matter (PM2.5) is the main harmful component of air pollutants. Its small particle size makes it easy to absorb various harmful substances, enter the respiratory tract, damage the nasal mucosa, and participate in the occurrence and development process of AR. At present, a large number of epidemiological studies have confirmed that PM2.5 is positively related to the incidence rate and severity of symptoms of AR, but its exact mechanism is still unclear. Therefore, studying the mechanism of PM2.5 exposure on AR damage is expected to provide new clues for exploring the pathogenesis and deterioration of AR. This article reviewed the epidemiological studies and toxicological mechanisms of PM2.5 exposure and AR in recent years; discussed the potential biological mechanisms of PM2.5 induced AR occurrence and development, including nasal mucositis damage, oxidative stress, and immune damage. Furthermore, a new research direction was proposed, which suggested that neuroimmune disorders and bacterial imbalance may be involved in the progression of AR and play a certain role in the toxic effects induced by PM2.5. We aim to provide ideas and a theoretical basis for developing effective measures to prevent and treat AR.

Association between airborne particulate matter（PM 2.5） concentration and the incidence of allergic rhinitis in Shanghai / 临床耳鼻咽喉头颈外科杂志

Objective:To explore the impact of PM 2.5 concentration in Shanghai on the incidence of allergic rhinitis（AR） in the population, and provide strategies for early warning and prevention of AR. Methods:Collect daily average concentrations of atmospheric pollutants monitored in Shanghai from January 1, 2017 to December 31, 2019, and clinical data of AR patients from five hospitals in Shanghai during the same period. We used a time-series analysis additive Poisson regression model to analyze the correlation between PM 2.5 levels and outpatient attendance for AR patients. Results:During the study period, a total of 56 500 AR patients were included, and the daily average concentration of PM 2.5 was（35.28±23.07）μg/m³. There is a correlation between the concentration of PM 2.5 and the number of outpatient attendance for AR cases. There is a positive correlation between the daily average number of outpatient for AR and levels of PM 2.5 air pollution（（P<0.05）） . We found that every 10 μg/m³ increase in PM 2.5, the impact of on the number of AR visits was statistically significant on the same day, the first day behind, and the second day behind, with the strongest impact being the exposure on the same day. Every 10 μg/m³ increases in PM 2.5, the number of outpatient visits increased by 0.526% on the same day（95%CI 1.000 50-1.010 04）. Conclusion:The atmospheric PM 2.5 concentration in Shanghai is positively correlated with the number of outpatient for AR, and PM 2.5 exposure is an independent factor in the onset of AR. This provides an important theoretical basis for AR.

Relationship between atmospheric pollutants and some adverse pregnancy outcomes / 中国比较医学杂志

The rapid development of the Chinese economy and the continuous advancement of urbanization have made the problem of air pollution more prominent,which may have an impact on people's health.In recent years,a large number of studies have emerged in the academic community both domestically and internationally.Many cohort studies have shown that during pregnancy,the surrounding air pollutants are relatively high,which may increase the risk of adverse pregnancy outcomes.So now people are paying more attention to the impact of air pollutants on the health of pregnant women or fetuses.This article provides a brief review of the impact of atmospheric pollutants on some adverse pregnancy outcomes and their possible biological mechanisms.

Prenatal PM2.5 Exposure and Its Association with Neurodevelopmental Impairment in Children: A Narrative Review

Introduction@#Air pollutants, including PM2.5, are an increasing threat to public health. Studies have reported the adverse effect of PM2.5 exposures during pregnancy on neurodevelopment in children. We performed a narrative review using the PubMed, Web of Science, and Scopus databases from 2017 to 2022 using keywords such as prenatal, particulate matter, neurodevelopment, and children. This review aims to identify symptoms of impaired neurodevelopment in children associated with prenatal PM2.5 exposure, the association between the timing of prenatal exposure PM2.5 and symptoms of impaired neurodevelopment in children as well as other factors that may influence the association of prenatal PM2.5 exposure and symptoms of impaired neurodevelopment in children@*Methods@#A total of 25 articles were included in this review. @*Results@#Symptoms of neurodevelopmental impairment associated with prenatal exposure to PM2.5 include language, speech, and communication symptoms; motor skills; behaviour and social skills; memory as well as learning/cognitive symptoms. Neurodevelopmental impairments were associated with exposure to PM2.5 across all three trimesters with impairment in communication and behavioural domains predominating in those exposed during the first trimester.@*Conclusions@#Generally, males were more susceptible to having neurodevelopmental impairment symptoms compared to females. More information regarding the effect of prenatal PM2.5 exposure on neurodevelopmental domains of children will support public health policies that reduce air pollution and improve children’s health.

Effects of long-term exposure to ambient PM2.5 on hypertension and role of dietary regulation / 环境与职业医学

Background The contribution of long-term ambient PM2.5 exposure to hypertension should not be ignored. However, the conclusions of whether dietary factors play a role in regulating PM2.5-related hypertension are still inconsistent. Objective To explore the correlation between long-term exposure to ambient PM2.5 and blood pressure indicators (systolic blood pressure, diastolic blood pressure, mean arterial pressure, and pulse pressure) in adults in Ningxia and a potential moderating effect of dietary factors. Methods A set of cross-sectional survey data from March, 2013 to May, 2018 was retrieved from the China Northwest Cohort-Ningxia, and the average ambient PM2.5 concentration in the previous three years was also collected to estimate the long-term exposure of the participants. Binary logistic regression model was used to validate the correlation between long-term exposure to ambient PM2.5 and hypertension in Ningxia, and linear model was used to study the correlation between long-term exposure to ambient PM2.5 and blood pressure indicators (systolic blood pressure, diastolic blood pressure, mean arterial pressure and pulse pressure), and to explore the influence of dietary factors on ambient PM2.5-related hypertension. Results A total of 11470 participants were included in the study, 42.2% male and 57.8% female. The three-year average ambient PM2.5 concentration before the baseline survey was 37.0 μg·m−3. Each 1 μg·m−3 increase in ambient PM2.5 was associated with an increased risk of hypertension (OR=1.111, 95%CI: 1.097, 1.125), and increased systolic blood pressure, diastolic blood pressure, mean arterial pressure, and pulse pressure by 0.886 (95%CI: 0.783, 0.990), 0.570 (95%CI: 0.500, 0.641), 0.676 (95%CI: 0.600, 0.751), and 0.316 (95%CI: 0.243, 0.389) mmHg, respectively. The stratified analysis showed that the OR and 95%CI of hypertension were 1.171 (1.097, 1.254), 1.117 (1.064, 1.174), and 1.160 (1.116, 1.207) respectively for each 1 μg·m−3 increased in PM2.5 with low frequency of vegetable and fruit consumption and salty taste respectively. The OR and 95%CI of hypertension were decreased when the moderate and high frequency of vegetable and fruit intake and moderate and light taste applied, the values were 1.091 (1.062, 1.121) and 1.114 (1.097, 1.131), 1.105 (1.082, 1.129) and 1.111 (1.092, 1.13), 1.115 (1.090, 1.140) and 1.102 (1.083, 1.121) respectively. Compared with low frequency of vegetable and fruit intake and salty taste, the increase degree of ambient PM2.5 related systolic blood pressure, diastolic blood pressure, mean arterial pressure and pulse pressure also decreased in middle and high frequency of vegetable and fruit intake and moderate and light taste. Conclusion Long-term exposure to ambient PM2.5 is significantly associated with increased risks of hypertension and blood pressure in Ningxia area. Increasing the frequency of vegetable and fruit intake and decreasing salty taste may reduce the effect of ambient PM2.5 on hypertension and blood pressure.

Impact of Air Pollution on Child Health in India and the Way Forward

Recent research in epidemiological modelling reveals that air pollution affects child health in various ways resulting in low birthweight, stillbirth, preterm birth, developmental delay, growth failure, poor respiratory and cardiovascular health, and a higher risk of anemia. India has embarked on the national clean air program, but a much stronger coordinated multi-sectoral approach is required to minimize the child health burden caused by air pollution. Air pollution should be treated as a public health crisis that can only be managed with policy backed by science, gradual transition to clean energy use, emission reduction supported by clean air technologies, long-term commitment from the Government, and cooperation of the citizens.