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1.
APMIS ; 132(6): 382-415, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38469726

ABSTRACT

Rheumatoid arthritis (RA) is a multifaceted autoimmune disorder characterized by chronic inflammation and joint destruction. Recent research has elucidated the intricate interplay between gut microbiota and RA pathogenesis, underscoring the role of microbiota-derived metabolites as pivotal contributors to disease development and progression. The human gut microbiota, comprising a vast array of microorganisms and their metabolic byproducts, plays a crucial role in maintaining immune homeostasis. Dysbiosis of this microbial community has been linked to numerous autoimmune disorders, including RA. Microbiota-derived metabolites, such as short-chain fatty acids (SCFAs), tryptophan derivatives, Trimethylamine-N-oxide (TMAO), bile acids, peptidoglycan, and lipopolysaccharide (LPS), exhibit immunomodulatory properties that can either exacerbate or ameliorate inflammation in RA. Mechanistically, these metabolites influence immune cell differentiation, cytokine production, and gut barrier integrity, collectively shaping the autoimmune milieu. This review highlights recent advances in understanding the intricate crosstalk between microbiota metabolites and RA pathogenesis and also discusses the potential of specific metabolites to trigger or suppress autoimmunity, shedding light on their molecular interactions with immune cells and signaling pathways. Additionally, this review explores the translational aspects of microbiota metabolites as diagnostic and prognostic tools in RA. Furthermore, the challenges and prospects of translating these findings into clinical practice are critically examined.


Subject(s)
Arthritis, Rheumatoid , Biomarkers , Dysbiosis , Gastrointestinal Microbiome , Humans , Arthritis, Rheumatoid/microbiology , Arthritis, Rheumatoid/immunology , Arthritis, Rheumatoid/metabolism , Biomarkers/metabolism , Dysbiosis/microbiology , Animals , Fatty Acids, Volatile/metabolism
2.
Sci Total Environ ; 653: 1364-1376, 2019 Feb 25.
Article in English | MEDLINE | ID: mdl-30759576

ABSTRACT

A novel back-trajectory approach was adopted to determine the origins of black carbon (BC) and carbon monoxide (CO) transported to Beijing, Tianjin and Hebei. Results showed that the transport efficiency was controlled mainly by mid-latitude westerlies in winter, the South Asian monsoon in summer and prevailing westerly and northwesterly winds in spring and autumn. Hebei was identified as the most important source region of both BC (respectively accounting for 55% and 49%) and CO (39% and 38%) transported to Beijing and Tianjin. Inner Mongolia contributed more to the effective emission intensity (EEI) in winter than in summer for both BC and CO transported to Beijing and Tianjin. Shandong was responsible for higher EEI in summer than in winter. The six provinces making the greatest contributions to BC transported to Hebei were Shandong (19%), Shanxi (19%), Inner Mongolia (17%), Beijing (11%), Henan (11%), and Tianjin (10%), whereas those making the greatest contributions to CO transported to Hebei were Shandong (20%), Inner Mongolia (10%), Tianjin (9%), Henan (9%), Shanxi (9%), and Beijing (8%). In summary, Hebei, Inner Mongolia, Shandong, Tianjin and Shanxi were determined as the dominant source regions of not only BC but also CO transported to Beijing. Hebei, Shandong, Beijing, Inner Mongolia, Henan, Liaoning and Shanxi were relatively important source regions for Tianjin. Shandong, Shanxi, Inner Mongolia, Beijing, Henan, Tianjin, Liaoning, Jiangsu and Anhui were the main source regions for Hebei. Residential and industrial sectors were the dominant sectors for BC and CO transported to the receptors, respectively. These results are consistent with the results of previous studies. Finally, comparing the observed ΔBC/ΔCO ratio with the enhancement ratio of the EEI of BC with that of CO (ΔEEIBC/ΔEEICO) at Miyun site, we further confirmed that the EEI can be used to represent the amounts of BC and CO reaching receptors.

3.
Environ Pollut ; 185: 149-57, 2014 Feb.
Article in English | MEDLINE | ID: mdl-24275313

ABSTRACT

The chemical composition of Beijing aerosol was measured during summer and winter. Two distinct episodes were identified. Water-soluble potassium (K(+)) increased significantly during the firework episode in winter with an episode to non-episode ratio of 4.97, whereas the biomass burning (BB) episode in summer was characterized by high episode to non-episode ratios of levoglucosan (6.38) and K(+) (6.90). The BB and firework episodes had only a minor influence on the water-soluble OC (organic carbon) to OC ratio. Based on separate investigations of episode and non-episode periods, it was found that: (i) sulfate correlated strongly with both relative humidity and nitrate during the typical winter period presumably indicating the importance of the aqueous-phase oxidation of sulfur dioxide by nitrogen dioxide, (ii) oxalate and WSOC during both winter and summer in Beijing were mainly due to secondary formation, and (iii) high humidity can significantly enhance the formation potential of WSOC in winter.


Subject(s)
Aerosols/analysis , Air Pollutants/analysis , Environmental Monitoring , Explosive Agents , Biomass , China , Fires , Nitrates/analysis , Nitrogen Dioxide/analysis , Seasons , Sulfates/analysis , Sulfur Dioxide/analysis
4.
Huan Jing Ke Xue ; 30(4): 969-75, 2009 Apr 15.
Article in Chinese | MEDLINE | ID: mdl-19544991

ABSTRACT

Fractional aerosol coefficients (FAC) are used in conjunction with measurements of volatile organic compounds (VOC) during ozone episodes to estimate the formation potential of secondary organic aerosols (SOA) in the summertime of Beijing. The estimation is based on the actual atmospheric conditions of Beijing, and benzene and isoprene are considered as the precursors of SOA. The results show that 31 out of 70 measured VOC species are SOA precursors, and the total potential SOA formation is predicted to be 8.48 microg/m3, which accounts for 30% of fine organic particle matter. Toluene, xylene, pinene, ethylbenzene and n-undecane are the 5 largest contributors to SOA production and account for 20%, 22%, 14%, 9% and 4% of total SOA production, respectively. The anthropogenic aromatic compounds, which yield 76% of the calculated SOA, are the major source of SOA. The biogenic alkenes, alkanes and carbonyls produce 16%, 7% and 1% of SOA formation, respectively. The major components of produced SOA are expected to be aromatic compounds, aliphatic acids, carbonyls and aliphatic nitrates, which contribute to 72%, 14%, 11% and 3% of SOA mass, respectively. The SOA precursors have relatively low atmospheric concentrations and low ozone formation potential. Hence, SOA formation potential of VOC species, in addition to their atmospheric concentrations and ozone formation potential, should be considered in policy making process of VOCs control.


Subject(s)
Aerosols/analysis , Air Pollutants/analysis , Environmental Monitoring , Organic Chemicals/analysis , Ozone/analysis , Carbon/analysis , China , Cities , Hydrocarbons/analysis , Ozone/chemistry , Particle Size , Seasons
5.
Huan Jing Ke Xue ; 28(6): 1183-7, 2007 Jun.
Article in Chinese | MEDLINE | ID: mdl-17674719

ABSTRACT

The effect of ammonium sulfate aerosol on the photochemical reaction of toluene/NO(x)/air mixture was evaluated with Tsinghua Smog Chamber facility. The results indicate that the presence of concentrated preexisting ammonium sulfate aerosol shortens the time to reach maximum PM (particle matter) concentration and increases the aerosol yield of toluene. And under the presence of high concentrated ammonium sulfate aerosol seed, the concentration of aerosol does not have significant effects on NO(x), NO and O3 variation, but affects the formation of secondary organic aerosol (SOA). The SOA yield increases with the increasing initial ammonium sulfate seed concentration (< 160 microg x m(-3)). From the minimum 7.2% to the maximum 11.7%, the percentage increase of SOA yield is more than 60%.


Subject(s)
Ammonium Sulfate/chemistry , Nitrogen Oxides/chemistry , Toluene/chemistry , Aerosols , Air Pollutants/chemistry , Oxidation-Reduction , Particle Size , Photochemistry
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