PM10

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Petr75
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Re: PM10

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2023 Oct 4
School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Shanghai Institute of Infectious Disease and Biosecurity, Fudan University, China
Interactive effects of ambient fine particulate matter and ozone on daily mortality in 372 cities: two stage time series analysis
https://pubmed.ncbi.nlm.nih.gov/37793695/

..Conclusion: The findings of this study suggest a synergistic effect of PM2.5 and O3 on total, cardiovascular, and respiratory mortality, indicating the benefit of coordinated control strategies for both pollutants.
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Petr75
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Re: PM10

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2023 Oct 12
Department of Medical Statistics, School of Health & Center for Health Information Research & Sun Yat-sen Global Health Institute, Sun Yat-sen University, China
Long-term particulate matter exposure and the risk of neurological hospitalization: Evidence from causal inference of a large longitudinal cohort in South China
https://pubmed.ncbi.nlm.nih.gov/37838030/

Abstract

With limited evidence on the neurological impact of particulate matter (PM) exposure in China, particularly for PM1 which is smaller but more toxic, we conducted a large Chinese cohort study using causal inference approaches to comprehensively clarify such impact....
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Re: PM10

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2023 Oct 31
Department of Psychology, Health Research Center (CEINSA), Almeria University, 04120, Almeria, Spain; University of Zaragoza, Department of Psychology and Sociology, Teruel, Spain
Neurodevelopmental consequences of gestational exposure to particulate matter 10: Ultrasonic vocalizations and gene expression analysis using a bayesian approach
https://pubmed.ncbi.nlm.nih.gov/37918762/

Abstract

Air pollution has been associated with a wide range of health issues, particularly regarding cardio-respiratory diseases. Increasing evidence suggests a potential link between gestational exposure to environmental pollutants and neurodevelopmental disorders such as autism spectrum disorder. The respiratory pathway is the most commonly used exposure model regarding PM due to valid and logical reasons...
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Re: PM10

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2023 Nov 1
Department of Veterinary Anatomy and Animal Behavior, College of Veterinary Medicine and BK21 FOUR program, Chonnam National University, South Korea
Particulate matter exposure and neurodegenerative diseases: A comprehensive update on toxicity and mechanisms
https://pubmed.ncbi.nlm.nih.gov/37832485/

Abstract

Exposure to particulate matter (PM) has been associated with a range of health impacts, including neurological abnormalities that affect neurodevelopment, neuroplasticity, and behavior. Recently, there has been growing interest in investigating the possible relationship between PM exposure and the onset and progression of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, Huntington's disease, and multiple sclerosis. However, the precise mechanism by which PM affects neurodegeneration is still unclear, even though several epidemiological and animal model studies have provided mechanistic insights. This article presents a review of the current research on the neurotoxicity of PM and its impact on neurodegenerative diseases. This review summarizes findings from epidemiological and animal model studies collected through searches in Google Scholar, PubMed, Web of Science, and Scopus. This review paper also discusses the reported effects of PM exposure on the central nervous system and highlights research gaps and future directions. The information presented in this review may inform public health policies aimed at reducing PM exposure and may contribute to the development of new treatments for neurodegenerative diseases. Further mechanistic and therapeutic research will be needed to fully understand the relationship between PM exposure and neurodegenerative diseases.

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Re: PM10

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Re: PM10

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2023 Nov 23
Department of Geriatric Neurology, Shaanxi Provincial People's Hospital, Xi'an, People's Republic of China
Exploring the association between air pollution and Parkinson's disease or Alzheimer's disease: a Mendelian randomization study
https://pubmed.ncbi.nlm.nih.gov/37995032/

Abstract

The correlation between air pollution and neurodegenerative diseases has garnered growing attention. Although observational studies have indicated a potential link between air pollution and neurodegenerative disease, establishing a causal relationship remains uncertain. To address this gap, we performed a two-sample Mendelian randomization analysis utilizing genetic instruments. This analysis aimed to investigate the causal connections between PM2.5, PM10, NO2, and NOX exposure and the occurrence of Parkinson's disease (PD) and Alzheimer's disease (AD). We implemented a series of filtering steps to identify suitable genetic instruments that demonstrated significant associations (P < 5 × 10-8) with PM2.5, PM10, NO2, and NOX. These instruments were derived from a comprehensive genome-wide association study (GWAS) encompassing up to 456,380 participants in the UK Biobank. To obtain summary statistics for PD (N = 482,730) and AD risk (N = 63,926), we utilized the most recent GWAS datasets available. For our primary analysis, we employed the inverse-variance weighted approach for two-sample MR. A multivariable MR (MVMR) was also performed to verify the impact of air pollution exposure on the risk of PD and AD. To ensure the robustness of our findings, sensitivity analyses and heterogeneity assessments were performed. In two-sample MR, by employing the inverse-variance weighted method, our result suggested that genetically NO2 exposure showed a significant association with an elevated risk of PD (OR = 4.07, 95% CI: 1.13 to 19.62, P = 0.034) and genetically PM10 exposure exhibited a significant association with a heightened risk of AD (OR = 1.93, 95% CI: 1.03-3.59, P = 0.040). Further MVMR analysis demonstrated that the causal effect between NO2 and PD disappeared (OR = 3.489, 95% CI: 0.01 to 2.1e + 03, P = 0.703), and only PM10 was associated with an increased risk of AD (OR = 6.500, 95% CI: 1.10 to 38.51, P = 0.039). Sensitivity analysis showed no detectable heterogeneity and pleiotropy (P > 0.05). Our findings demonstrate that NO2 and PM10 exposure may contribute to a risk of PD and AD, respectively. Future research is necessary to elucidate potential physiopathological mechanisms.
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Re: PM10

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2023 Dec 16
The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China
Association between ambient particulate matters and anhedonia among patients with depression
https://pubmed.ncbi.nlm.nih.gov/38102428/

Abstract

Recent studies have linked ambient air pollution to depression. Anhedonia is a core symptom of depression which severely impacts on prognosis. The present study aims to investigate the association of PM2.5 and PM10 exposure with anhedonia in depressed patients. A total of 538 patients with depression who were hospitalized at the Fourth People's Hospital of Hefei between June 2017 and December 2021 were included. We estimated ambient particulate matters exposure, including PM2.5 and PM10, using a satellite-based spatiotemporal model at a resolution of 1 km2. The revised Physical Anhedonia Scale (RPAS) and the revised Social Anhedonia Scale (RSAS) were evaluated. The association of ambient particulate matters and anhedonia was examined using multiple linear regression models, adjusted for potential confounders. We observed that exposure to PM2.5 were significantly associated with increased RSAS score and RPAS score, with the major effect in the 12-month exposure window (β = 1.238; 95%CI, 0.353, 2.123) and 18-month exposure window (β = 1.888; 95%CI, 0.699, 3.078), respectively. Meanwhile, PM10 levels were also significantly associated with increased RSAS score and RPAS score, with the major effect in the 18-month exposure window (β = 1.220; 95%CI, 0.439, 2) and 3-month exposure window (β = 1.602; 95%CI, 0.062, 3.143), respectively. Subgroup analysis showed that both PM2.5 and PM10 were significantly associated with anhedonia in females, patients < 40 years old, low family income group, and those who had a higher educational level. Our study suggests that long-term PM2.5 and PM10 exposure are associated with more severe anhedonia in patients with depression. These associations were different in subgroup by age, gender, family income, and educational level.
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Re: PM10

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2023 Dec 16
Diabetes Research Centre, College of Life Sciences, University of Leicester, Gwendolen Rd, Leicester LE5 4PW, UK
Long-term ambient air pollution exposure and prospective change in sedentary behaviour and physical activity in individuals at risk of type 2 diabetes in the UK
https://pubmed.ncbi.nlm.nih.gov/38103023/

Background: Air pollution may be a risk factor for physical inactivity and sedentary behaviour (SED) through discouraging active lifestyles, impairing fitness and contributing to chronic diseases with potentially important consequences for population health.
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Re: PM10

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2023 Dec 21
Tibet Center for Disease Control and Prevention, Lhasa, Tibet, China
Associations of long-term exposure to air pollution and physical activity with the risk of systemic inflammation-induced multimorbidity in Chinese adults: results from the China multi-ethnic cohort study (CMEC)
https://pubmed.ncbi.nlm.nih.gov/38129832/

Conclusions: Long-term (3 years average) exposure to PM1, PM2.5, and PM10 was associated with an increased risk of SIIM. The associations were modified by PA, highlighting PA's importance in reducing SIIM for all people, especially those living in high-level air pollution regions.

(systemic inflammation-induced multimorbidity -SIIM )
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Re: PM10

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PM

2023 Dec 18
Primate Resources Center, Korea Research Institute of Bioscience and Biotechnology, Jeongup-si, Republic of Korea
Particulate matter 10 induces oxidative stress and apoptosis in rhesus macaques skin fibroblast
https://pubmed.ncbi.nlm.nih.gov/38130933/

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O3


2021 Sep 20
Low Ozone Concentrations Differentially Affect the Structural and Functional Features of Non-Activated and Activated Fibroblasts In Vitro
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8466365/

-----------------------------------

MS

2020 Jul 8
Signatures of cell stress and altered bioenergetics in skin fibroblasts from patients with multiple sclerosis
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7425440/

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Re: PM10

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2023 Dec 27
Department of Architecture and Built Environment, University of Nottingham, U.K.
Harm from Residential Indoor Air Contaminants
https://pubmed.ncbi.nlm.nih.gov/38150532/

Abstract

This study presents a health-centered approach to quantify and compare the chronic harm caused by indoor air contaminants using disability-adjusted life-year (DALY). The aim is to understand the chronic harm caused by airborne contaminants in dwellings and identify the most harmful. Epidemiological and toxicological evidence of population morbidity and mortality is used to determine harm intensities, a metric of chronic harm per unit of contaminant concentration. Uncertainty is evaluated in the concentrations of 45 indoor air contaminants commonly found in dwellings. Chronic harm is estimated from the harm intensities and the concentrations. The most harmful contaminants in dwellings are PM2.5, PM10-2.5, NO2, formaldehyde, radon, and O3, accounting for over 99% of total median harm of 2200 DALYs/105 person/year. The chronic harm caused by all airborne contaminants in dwellings accounts for 7% of the total global burden from all diseases.
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Re: PM10

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2023 Dec 27
School of Public Health, Health Science Center, Xi'an Jiaotong University, Shaanxi, China
Air particulate pollution exposure associated with impaired cognition via microbiota gut-brain axis: an evidence from rural elderly female in northwest China
https://pubmed.ncbi.nlm.nih.gov/38151560/

..Indoor air pollution exposure impaired cognitive function in elderly people, especially female, which may cause systemic inflammation, dysbiosis of the gut microbiota, and ultimately leading to early cognitive impairment through the gut-brain axis.
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Re: PM10

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Petr75
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Re: PM10

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PM


2023 Dec 4
https://pubmed.ncbi.nlm.nih.gov/38274360/
Department of Occupational and Environmental Medicine, Korea University Ansan Hospital, Ansan, Korea
Association between ambient particulate matter levels and hypertension: results from the Korean Genome and Epidemiology Study
https://pubmed.ncbi.nlm.nih.gov/38274360/


...Conclusions:
These findings suggest that both short- and long-term exposure to PM is associated with blood pressure elevation.

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MS

High Blood Pressure
https://www.webmd.com/multiple-sclerosi ... u-may-have

One recent study found high blood pressure (hypertension) is 25% more common among people with MS than others. It affects 17% to 30% of those with MS.
Lack of physical activity is one of the leading causes of high blood pressure. And some research has found that people with MS sit for approximately 7.5 hours a day. If it's not treated, hypertension can lead to health problems like heart disease, heart attack, or stroke.
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Hypertension is prevalent in patients with multiple sclerosis.
https://www.sciencedirect.com/science/a ... 552300154X

dverse outcomes occur with comorbid hypertension and multiple sclerosis. Blood pressure parameters should be monitored in patients with multiple sclerosis. These patients require nonpharmacological management of comorbid hypertension.

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O3

December 2023
Invisible pollution and hypertension: Evidence from the aging population in China
https://www.sciencedirect.com/science/a ... 1X23001505

An additional part-per-billion (ppb) of ambient ozone concentrations over the four-month exposure window elevates the systolic and diastolic blood pressure by 0.5281 mmHg and 0.3796 mmHg, respectively; a one-additional ppb of ozone over the four-month exposure window increases the incidence rate of hypertension by 0.52
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Re: PM10

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2024 Apr 11
Department of Public Health, Shenzhen Eye Hospital, Shenzhen, China
Effects of ambient PM2.5 on non-accidental death: a time-series study in Shenzhen, China during 2014-2019
https://pubmed.ncbi.nlm.nih.gov/38602490/

Abstract

This study aims to investigate the impact of PM2.5 on non-accidental death of residents. The single-pollutant model revealed that the influence of PM2.5 on non-accidental death was significant at lag0 and lag4-6, and was greatest at lag5. A 10 µg/m3 increase in PM2.5 was related with a 1.31% increase in non-accidental deaths. The connection between PM2.5 and non-accidental death was stronger in femalesthan males, in people aged ≥ 65 years than people aged < 65 years, and in people below high school education than people with high school education or above. Two-pollutant model revealed that the influence of PM2.5 on non-accidental death was essentially unchanged when CO, SO2, and O3 were included and reduced when NO2 was included. The multiple-pollutant model showed that the effect of ambient PM2.5 on non-accidental death was reduced. An increase in PM2.5 concentrations may cause an increase in non-accidental death.
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