Dynamic association of ambient air pollution with incidence and mortality of pulmonary hypertension: A multistate trajectory analysis

BACKGROUND

There is little evidence regarding the association between ambient air pollution and incidence and the mortality of pulmonary hypertension (PH).

METHODS

We included 494,750 participants at baseline in the UK Biobank study. Exposures to PM2.5, PM10, NO2, and NOx were estimated at geocoded participants' residential addresses, utilizing pollution data provided by UK Department for Environment, Food and Rural Affairs (DEFRA). The outcomes were the incidence and mortality of PH. We used multivariate multistate models to investigate the impacts of various ambient air pollutants on both incidence and mortality of PH.

RESULTS

During a median follow-up of 11.75 years, 2517 participants developed incident PH, and 696 died. We observed that all ambient air pollutants were associated with increased incidence of PH with different magnitudes, with adjusted hazard ratios (HRs) [95% confidence intervals (95% CIs)] for each interquartile range (IQR) increase of 1.73 (1.65, 1.81) for PM2.5, 1.70 (1.63, 1.78) for PM10, 1.42 (1.37, 1.48) for NO2, and 1.35 (1.31, 1.40) for NOx. Furthermore, PM2.5, PM10, NO2 and NO2 influenced the transition from PH to death, and the corresponding HRs (95% CIs) were 1.35 (1.25, 1.45), 1.31 (1.21, 1.41), 1.28 (1.20, 1.37) and 1.24 (1.17, 1.32), respectively.

CONCLUSION

The results of our study indicate that exposure to various ambient air pollutants might play key but differential roles in both the incidence and mortality of PH.

Dynamic contributions of socioeconomic status to mental health with the resettlement process among refugees

Socioeconomic status (SES) is shown to be associated with refugees' mental health, but few studies have considered that these associations may vary over time. This study aimed to examine the dynamic contributions of SES to refugees' mental health during resettlement. We used five waves of data from a cohort study in Australia; 2399 refugees completed the interview in Wave 1, and the remaining waves had 2009, 1894, 1929, and 1881 participants, respectively. SES, high risk of severe mental illness (HR-SMI), and post-traumatic stress disorder (PTSD) were assessed in each wave. Weighted multilevel regression models were performed, and analyses were stratified by sex. For both sexes, financial hardships were consistently positively associated with HR-SMI and PTSD across all five waves. However, time or sex differences were more pronounced for associations between other SES factors and mental health. For males, there were negative associations of current paid jobs with HR-SMI and PTSD in Waves 3-5. For females, the current paid job was negatively associated with HR-SMI only in Wave 5. Our findings highlight the dynamic associations and sex differences between SES and refugees' mental health. We recommend interventions focusing on increasing employment opportunities, particularly for male refugees in the later resettlement stages.

Dynamic associations between the respiratory tract and gut antibiotic resistome of patients with COVID-19 and its prediction power for disease severity

The antibiotic resistome is the collection of all antibiotic resistance genes (ARGs) present in an individual. Whether an individual's susceptibility to infection and the eventual severity of coronavirus disease 2019 (COVID-19) is influenced by their respiratory tract antibiotic resistome is unknown. Additionally, whether a relationship exists between the respiratory tract and gut ARGs composition has not been fully explored. We recruited 66 patients with COVID-19 at three disease stages (admission, progression, and recovery) and conducted a metagenome sequencing analysis of 143 sputum and 97 fecal samples obtained from them. Respiratory tract, gut metagenomes, and peripheral blood mononuclear cell (PBMC) transcriptomes are analyzed to compare the gut and respiratory tract ARGs of intensive care unit (ICU) and non-ICU (nICU) patients and determine relationships between ARGs and immune response. Among the respiratory tract ARGs, we found that Aminoglycoside, Multidrug, and Vancomycin are increased in ICU patients compared with nICU patients. In the gut, we found that Multidrug, Vancomycin, and Fosmidomycin were increased in ICU patients. We discovered that the relative abundances of Multidrug were significantly correlated with clinical indices, and there was a significantly positive correlation between ARGs and microbiota in the respiratory tract and gut. We found that immune-related pathways in PBMC were enhanced, and they were correlated with Multidrug, Vancomycin, and Tetracycline ARGs. Based on the ARG types, we built a respiratory tract-gut ARG combined random-forest classifier to distinguish ICU COVID-19 patients from nICU patients with an AUC of 0.969. Cumulatively, our findings provide some of the first insights into the dynamic alterations of respiratory tract and gut antibiotic resistome in the progression of COVID-19 and disease severity. They also provide a better understanding of how this disease affects different cohorts of patients. As such, these findings should contribute to better diagnosis and treatment scenarios.

Associations among ecosystem services from local perspectives

Present works on the relationship between pairwise ecosystem services (ES) in one period are mostly based on global perspective, which ignores the influence of spatial heterogeneity. In view of this problem, this study proposes a static local association model for pairwise ES, and the applicability of this model is then tested in Ningxia Hui Autonomous Region, China. Four ES, namely, grain production, livestock production, soil conservation, and carbon sequestration, are selected. The global and local associations among these services are tested and compared using Spearman's correlation analysis and the proposed local static association model, respectively. Results showed that all six possible ES pairs were significantly correlated in the global scale. However, for strongly correlated pairwise ES (e.g., grain production and livestock production and carbon sequestration), a reverse trend still exists in some local areas. This inference is especially true for ES pairs with relatively low correlation coefficient. We also determine that some of the trade-offs or synergies are formed only by artifact, such as the synergy between grain and livestock production in the midwest, the trade-off between grain production and carbon sequestration concentrating on the southern mountains, and the trade-off between livestock production and soil conservation and carbon sequestration in the central area of the northern Yellow River irrigation district. In summary, local association analysis conveys the abstract overall relationship among specific spatial locations to identify the mechanism of the relationship among ES. This finding will provide new insights for the planning and management of ES, which include that local ES cannot be managed and planned according to the global relationship, local trade-offs or synergies caused by artifact cannot be applied to ES management, the proposed local association analysis helps identify ES problems in parts, and the high-value synergy area is an appropriate reference for ecosystem management.