Establishment and validation of prediction model for atherosclerotic cardiovascular disease in patients with hyperuricemia.

OBJECTIVE: To construct a risk prediction model for atherosclerotic cardiovascular disease (ASCVD) in patients with hyperuricemia. METHODS: Data in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) (2007-2010). Participants from Huashan Hospital were included as an external validation. Logistic regression analysis was used to explore the relevant factors of ASCVD in patients with hyperuricemia. The discriminability of the model was evaluated using the area under the curve (AUC) statistic of the receiver operating characteristic curve. Hosmer-Lemeshow test, correction curve and decision curve analysis (DCA) were used to evaluate the model. RESULTS: A total of 389 patients collected from the NHANES were included in the final analysis. Logistic regression analysis showed that age, creatinine (Cr), glucose (Glu), serum uric acid (SUA), and history of gout were predictive factors for ASCVD in hyperuricemia (HUA) patients. These predictive factors were used to construct a nomogram. And 157 patients from NHANES were in the internal validation group and 136 patients from Huashan Hospital were in the external validation group. The AUC values of the three groups were 0.943, 0.735, and 0.664. The p values of the Hosmer-Lemeshow test were .568, .600, and .763. The calibration curve showed consistency between the nomogram and the actual observed values. The DCA curve indicated that the model has good clinical practicality. CONCLUSION: This study constructed the ASCVD risk prediction model for HUA patients, which is beneficial for medical staff to detect high-risk populations of ASCVD in the early stage.

Highly transparent cellulose-based phosphorescent materials with tunable afterglow colors and white emission.

Room temperature phosphorescence (RTP) materials with wood as framework are highly desirable due to their extended afterglow, high haze and good mechanical properties, which is highly desired in lighting materials. However, it remains challenging to obtain wood-based RTP materials that possess on-demand afterglow colors while maintaining high transparency across the entire visible spectrum. In this study, long-persistent phosphorescent transparent composite with tunable afterglow color is fabricated by infiltrating delignified wood with phosphors (including carbazole, naphthalene, and pyrene) doped polymethyl methacrylate (PMMA). Such RTP woods indicate remarkable transparency, over 70 %, and an extended afterglow duration of up to 8 s. Here, PMMA serves as rigid surrounding to suppress the non-radiative transition of phosphors to ensure phosphorescence, and to fulfill in the wood lumen to match the refractive index of cellulose for transparency. By formulating phosphors with different types and concentration ratios, transparent woods with diverse phosphorescence colors, and white emission, are successfully achieved. Furthermore, the RTP woods demonstrate dynamically tunable afterglow colors over time based on the varied phosphorescent lifetimes. Characterized by their high transparency and tunable colors, these natural wood-based RTP materials have great potentials for application in the fields of LED materials, optics, and building materials.

Hormonal and reproductive factors in relation to the risk of rheumatoid arthritis in women: a prospective cohort study with 223 526 participants.

OBJECTIVE: This study aimed to examine rheumatoid arthritis (RA) risk associated with hormonal and reproductive factors in women from the large cohort of the UK Biobank. METHODS: Data on hormonal and reproductive factors in women were collected from a prospective cohort of 223 526 UK Biobank participants. The potential relationship between reproductive factors and RA risk was assessed using restricted cubic spline. Hazard ratios (HR) were estimated using Cox proportional hazard regressions. RESULTS: During a median follow-up of 12.39 years, 3313 women with RA were identified. Age at menarche >14 years was associated with a greater RA risk (HR 1.13, 95% CI 1.02 to 1.26) compared with menarche at 13. The multiple adjusted HR for RA in women with menopause at <45 years was 1.46. Reproductive years <33 increased the risk of RA (HR 1.39, 95% CI 1.21 to 1.59). Compared with those with 2 children, women with ≥4 children were associated with a higher risk of RA (HR 1.18, 95% CI 1.04 to 1.34). Women who had a hysterectomy (HR 1.40, 95% CI 1.25 to 1.56) or oophorectomy (HR 1.21, 95% CI 1.08 to 1.35) had a higher risk of RA than those without a hysterectomy or oophorectomy. Both hormone replacement therapy (HRT) use (HR 1.46, 95% CI 1.35 to 1.57) and HRT duration (HR 1.02, 95% CI 1.01 to 1.03) were associated with a higher risk of RA. CONCLUSIONS: Some hormonal and reproductive factors were associated with a higher risk of RA. Hormonal and reproductive factors should be considered in risk assessment and formulating management plans in female patients with RA.

Global, regional and national temporal trends in prevalence for musculoskeletal disorders in women of childbearing age, 1990-2019: an age-period-cohort analysis based on the Global Burden of Disease Study 2019.

OBJECTIVES: To provide an overview and in-depth analysis of temporal trends in prevalence of musculoskeletal (MSK) disorders in women of childbearing age (WCBA) at global, regional and national levels over the last 30 years, with a special focus on their associations with age, period and birth cohort. METHODS: Estimates and 95% uncertainty intervals (UIs) for MSK disorders prevalence in WCBA were extracted from the Global Burden of Diseases, Injuries and Risk Factors Study 2019. An age-period-cohort model was adopted to estimate the overall annual percentage change of prevalence (net drift, % per year), annual percentage change of prevalence within each age group (local drift, % per year), fitted longitudinal age-specific rates adjusted for period deviations (age effects) and period/cohort relative risks (period/cohort effects) from 1990 to 2019. RESULTS: In 2019, the global number of MSK disorders prevalence in WCBA was 354.57 million (95% UI: 322.64 to 387.68). Fifty countries had at least one million prevalence, with India, China, the USA, Indonesia and Brazil being the highest accounting for 51.03% of global prevalence. From 1990 to 2019, a global net drift of MSK disorders prevalence in WCBA was -0.06% (95% CI: -0.07% to -0.05%) per year, ranging from -0.09% (95% CI: -0.10% to -0.07%) in low-middle sociodemographic index (SDI) region to 0.10% (95% CI: 0.08% to 0.12%) in high-middle SDI region, with 138 countries presenting increasing trends, 24 presenting decreasing trends and 42 presenting relatively flat trends. As reflected by local drift, higher SDI regions had more age groups showing rising prevalence whereas lower SDI regions had more declining prevalence. Globally, an increasing occurrence of MSK disorders prevalence in WCBA beyond adolescent and towards the adult stage has been prominent. Age effects illustrated similar patterns across different SDI regions, with risk increasing with age. High SDI region showed generally lower period risks over time, whereas others showed more unfavourable period risks. High, high-middle and middle SDI regions presented unfavourable prevalence deteriorations, whereas others presented favourable prevalence improvements in successively birth cohorts. CONCLUSIONS: Although a favourable overall temporal trend (net drift) of MSK disorders prevalence in WCBA was observed over the last 30 years globally, there were 138 countries showing unfavourable rising trends, coupled with deteriorations in period/cohort risks in many countries, collectively raising concerns about timely realisation of the Targets of Sustainable Development Goal. Improvements in the MSK disorders-related prevention, management and treatment programmes in WCBA could decline the relative risk for successively younger birth cohorts and for all age groups over period progressing.

The toxicokinetic and metabolism of structurally diverse pyrrolizidine alkaloids in rats.

ETHNOPHARMACOLOGICAL RELEVANCE: Pyrrolizidine alkaloids (PAs) are a group of phytotoxins present in about 3% of flowering plants worldwide. Ingestion of PA-containing herbal products may lead to hepatotoxicity. Notably, the toxicokinetic (TK) behaviors, especially pyrrole-protein adducts (PPAs) having the same structure but generated from metabolic activation of different PAs, significantly affect the toxicity of structurally diverse PAs, therefore studying them in their pure form is preferable to extracts to stratify toxic potency of different PAs co-existing in herbal extracts. However, previous studies mainly focus on the establishment of TK profiles of the intact PAs, revealing less or no kinetic information on the main PA metabolites (PA N-oxides) and PPAs which mediate PA-induced hepatotoxicity. In this study, PPA was measured as the biomarker of PA exposure and PA-induced toxicity. AIM OF STUDY: This study aims to investigate the TK difference between structurally diverse PAs of retronecine-type PAs: retrorsine (RTS) and monocrotaline (MCT), and otonecine-type PA: clivorine (CLI), and their toxicity-related metabolite PPAs and PA N-oxides, the main metabolite of retronecine-type PAs, for the establishment of a more accurate risk assessment of PAs exposure. MATERIALS AND METHODS: The TK studies were conducted using rats through intravenous (i.v.) or oral (p.o.) administration of PAs at 20 mg/kg. The main TK parameters of PAs and PA N-oxides were determined from plasma concentration-time profiles, and the kinetic profiles of PPAs were assessed from both plasma and erythrocyte concentration-time profiles. RESULTS: MCT demonstrated the slowest but the highest extent of absorption among the three PAs, while RTS demonstrated a similar absorption rate with a lower extent than CLI. For elimination, MCT demonstrated a similar elimination rate as RTS but the lowest extent of elimination among the three PAs, and CLI exhibited significantly faster elimination than MCT and RTS. Moreover, the formation of PA N-oxide, which only occurs in retronecine-type PAs, was remarkably less in MCT-treated rats compared to RTS-treated ones. Of note, the retronecine-type RTS and MCT induced more PPAs via p.o. than i.v. administration route, whereas the otonecine-type CLI showed the opposite trend. CONCLUSION: Dramatic TK differences, including not only PAs but also PA N-oxides and the derived protein adduct PPAs, were found among structurally diverse PAs in rats, laying the basis for varied hepatotoxic potencies induced by different PA-containing herbal products. Notably, our findings for the first time uncovered that oral administration of retronecine-type PAs might cause severer toxicity compared with the intravenous route, which warrants further in-depth exploration.

Serum albumin mediates the associations between heavy metals and two novel systemic inflammation indexes among U.S. adults.

BACKGROUND: The effects of heavy metal exposure on immunological function have sparked widespread concern, but unequivocal evidence on the association between mixed metal exposure and novel systemic inflammatory indexes remains scarce. OBJECTIVES: This study aimed to analyze the associations of heavy metals with two novel systemic inflammation indexes and the mediated effects of serum albumin. METHODS: Nineteen metals were detected among 4082 U.S. adults based on the NHANES. A linear regression, restricted cubic splines (RCS) regression, weighted quantile sum (WQS), Quantile-based Gcomputation (qgcomp), and Bayesian kernel machine regression (BKMR) were conducted to evaluate the associations of single metal and mixed metals with systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) levels, respectively. A series of subgroup analyses were used to identify potentially vulnerable populations. Furthermore, we conducted mediation analyses to investigate the mediated effects of serum albumin on the associations of metals with SII and SIRI. RESULTS: In the single-exposure model, exposure to various metals such as urinary Co, As, and serum Zn, Cu was associated with SII and SIRI (PFDR<0.05). Simultaneously, the above metals were linear positively correlated with SII and SIRI. Mixed-exposure analyses consistently showed that overall mixed urinary metal levels were positively pertinent for SII and SIRI levels, and the metal Co played a significant role in the urinary metal mixtures. Subgroup analyses showed that exposure to urinary Cd in men and elderly people increased SII and SIRI levels. The results of mediation analyses suggested the association of urinary metal mixture with SII and SIRI was mediated by albumin, and the proportion of mediation was 14.45% and 9.49%, respectively. CONCLUSIONS: Our findings suggested that metal exposure is strongly associated with the levels of system inflammation indexes and that serum albumin is, in part, a mediator of this association.

Impact of short-term exposure to ambient air pollution on osteoarthritis: a multi-city time-series analysis in Central-Eastern China.

Osteoarthritis (OA) is a threat to public health issue with high morbidity and disability worldwide. However, unequivocal evidence on the link between air pollution and OA remains little, especially in multi-study sites. This study aimed to explore the relationship between short-term exposure to main air pollutants and the risk of OA outpatient visits in multi-study sites. A multi-city time-series analysis was performed in Anhui Province, Central-Eastern China from January 1, 2015, to December 31, 2020. We used a two-stage analysis to assess the association between air pollution and daily OA outpatient visits. City-specific associations were estimated with a distributed lag nonlinear model and then pooled by random-effects or fixed-effects meta-analysis. Stratified analysis was conducted by gender, age, and season. Additionally, the disease burden of OA attributable to air pollutant exposure was calculated. A total of 35,700 OA outpatients were included during the study period. The pooled exposure-response curves showed that PM2.5 and PM10 concentrations below the reference values could increase the risk of OA outpatient visits. Concretely, per 10 ug/m3 increase in PM2.5 concentration was linked to an elevated risk of OA outpatient visits at lag 2 and lag 3 days, where the effect reached its highest value on lag 2 day (RR: 1.023, 95%CI: 1.005-1.041). We observed that a 10 µg/m3 increase in PM10 was positively correlated with OA outpatient visits (lag2 day, RR: 1.011, 95%CI: 1.001-1.025). Nevertheless, no statistical significance was discovered in gaseous pollutants (including SO2, O3, and CO). Additionally, a significant difference was found between cold and warm seasons, but not between different genders or age groups. This study reveals that particulate matter is an important factor for the onset of OA in Anhui Province, China. However, there is no evidence of a relationship of gaseous pollutants with OA in this area.

Age-standardized incidence, prevalence, and mortality rates of autoimmune diseases in women of childbearing age from 1990 to 2019.

AIM: To estimate the age-standardized incidence, prevalence, and mortality rates of autoimmune diseases including rheumatoid arthritis (RA), inflammatory bowel disease (IBD), multiple sclerosis (MS), type 1 diabetes mellitus (T1DM), asthma, and psoriasis in women of childbearing age from 1990 to 2019, and to further analyze their changing trends, at global, regional, and national levels. METHODS: Women of childbearing age was defined as 15-49 years old. The estimates and 95% uncertainty intervals (UIs) for case number of RA, IBD, MS, T1DM, asthma and psoriasis in seven age groups (15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49 years) were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Age standardization by direct method was adopted to estimate the age-standardized incidence, prevalence, and mortality rates of these autoimmune diseases in women of childbearing age. Joinpoint regression analysis was utilized to analyze the changing trends of estimated age-standardized incidence, prevalence, and mortality rates from 1990 to 2019 by calculating the average annual percentage change (AAPC) and its 95% confidence intervals (CIs). RESULTS: In 2019, the estimated global age-standardized incidence, prevalence, and mortality rates of RA in women of childbearing age was 17.13 (95% UI: 12.39 to 22.60), 215.86 (95% UI: 179.04 to 259.70), and 0.06 (95% UI: 0.04 to 0.08); of IBD was 5.85 (95% UI: 4.72 to 7.12), 63.54 (95% UI: 53.50 to 74.37), and 0.11 (95% UI: 0.08 to 0.13); of MS was 1.63 (95% UI: 1.05 to 2.28), 28.74 (95% UI: 23.80 to 34.46), and 0.17 (95% UI: 0.14 to 0.27); of T1DM was 6.22 (95% UI: 2.75 to 11.50), 290.51 (95% UI: 221.39 to 370.19), and 0.63 (95% UI: 0.48 to 0.78); of asthma was 291.14 (95% UI: 157.06 to 468.78), 2796.25 (95%UI: 1987.07 to 3842.97), and 1.42 (95% UI: 1.12 to 1.75), respectively. The estimated global age-standardized incidence and prevalence rates of psoriasis in women of childbearing age was 58.68 (95% UI: 51.04 to 66.85) and 477.20 (95% UI: 440.30 to 515.76). Highest disease burden generally exists in Region of the Americas and European Region. From 1990 to 2019, the estimated global age-standardized incidence and prevalence rates of RA (AAPC: 0.18, 95% CI: 0.11 to 0.24; AAPC: 0.24, 95% CI: 0.18 to 0.30) and T1DM (AAPC: 1.47, 95% CI: 1.40 to 1.54; AAPC: 0.83, 95% CI: 0.79 to 0.88) in women of childbearing age showed significantly increasing trends whereas those of IBD (AAPC: -0.76, 95% CI: -0.80 to -0.73; AAPC: -0.65, 95% CI: -0.70 to -0.60), MS (AAPC: -0.20, 95% CI: -0.23 to -0.16; AAPC: -0.25, 95% CI: -0.26 to -0.23), asthma (AAPC: -0.53, 95% CI: -0.60 to -0.47; AAPC: -0.74, 95% CI: -0.81 to -0.68), and psoriasis (AAPC: -0.83, 95% CI: -0.85 to -0.82; AAPC: -0.99, 95% CI: -1.02 to -0.96) showed significantly decreasing trends. Favorably, the estimated global age-standardized mortality rate of RA (AAPC: -1.32, 95% CI: -1.63 to -1.01), IBD (AAPC: -0.95, 95% CI: -1.06 to -0.84), MS (AAPC: -0.96, 95% CI: -1.12 to -0.80), T1DM (AAPC: -1.05, 95% CI: -1.21 to -0.89), and asthma (AAPC: -2.27, 95% CI: -2.34 to -2.19) in women of childbearing age all declined. The changing trends of estimated age-standardized incidence, prevalence, and mortality rates varied significantly across 204 countries and territories. CONCLUSIONS: Our study provides an accurate estimation on the age-standardization of disease indicators of autoimmune diseases in women of childbearing age. There are remarkable disparities in the incidence, prevalence, and mortality burden related to autoimmune diseases in women of childbearing age, as well as their changing trends across the world, suggesting that each individual government should establish flexible health policies and make reasonable source allocation to address different needs for autoimmune diseases in this population.

A global assessment of incidence trends of autoimmune diseases from 1990 to 2019 and predicted changes to 2040.

AIM: To analyze the global incidence trends for four autoimmune diseases (ADs) including rheumatoid arthritis (RA), inflammatory bowel disease (IBD), multiple sclerosis (MS) and psoriasis from 1990 to 2019, and further predict their changes to 2040 at global, regional, and national levels. METHODS: The estimates and 95% uncertainty intervals (UIs) for case number and agestandardized incidence rate (ASIR) of RA, IBD, MS and psoriasis were derived from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Estimated annual percentage change (EAPC) was utilized to quantify the global incidence trends for RA, IBD, MS and psoriasis from 1990 to 2019. Furthermore, a log-linear age-period-cohort model was adopted to predict the new case number and incidence rates for these four ADs through 2040. RESULTS: From 1990 to 2019, the global ASIR rose significantly for RA (EAPC = 0.30%, 95% CI: 0.26 to 0.34) whereas declined significantly for IBD (EAPC = -0.60%, 95% CI: -0.72 to - 0.48), MS (EAPC = -0.19%, 95% CI: -0.24 to -0.13) and psoriasis (EAPC = -0.77%, 95% CI: -0.78 to -0.76). From 2020 to 2040, the global ASIR of RA, IBD, and psoriasis was predicted to decrease whereas the global ASIR of MS was predicted to increase, with continuous increasing case number of all these diseases. Furthermore, the predicted incidence trends of these four ADs varied significantly across 195 countries and territories, with a prominent higher burden in high-income North America and Western Europe. CONCLUSIONS: There are strong heterogeneities in the global incidence trends (1990-2019) and predicted changes (2020-2040) of ADs across the world, highlighting prominent challenges in the control of ADs, including both growing case number and distributive disparities of these diseases worldwide, which may be instructive for better public health policy establishment and healthcare resource allocation.

Climate change and daily outpatient visits for dermatomyositis in Hefei, China: a time-series study.

With the deepening of research on the correlation between meteorological factors and autoimmune diseases, the relationship between climate change and dermatomyositis (DM) has come to our attention. This study aimed to explore the short-term correlation between meteorological factors and DM outpatient visits. Daily records of hospital outpatient visits for DM, air pollutants, and meteorological factor data in Hefei from January 1, 2018 to December 31, 2021 were obtained. The mean temperature (MT), relative humidity (RH), diurnal temperature range (DTR), and temperature change between neighboring days (TCN) were used to quantify environmental temperature and humidity and their variations. And we performed a time series analysis using a generalized linear model (GLM) in combination with a distributed lag nonlinear model (DLNM). Furthermore, gender and age were further stratified for the analysis. The sensitivity analysis was also performed. A total of 4028 DM outpatient visits were recorded during this period. There were statistically significant associations of low temperature (5th, 1.5 °C), low RH (1st, 48.6%), high RH (99th, 99%), high DTR (75th, 12.6°c), and low TCN (10th, -2.7 °C) that were associated with risk of DM outpatient visits, with lag days of 30, 16, 16, 10, and 14, respectively. Moreover, women were more susceptible to high RH exposure and low TCN exposure, while the elderly were more susceptible to low temperature. This study concluded that exposure to low temperature, extreme RH, and temperature changes (especially high DTR and low TCN) was associated with an increased risk of DM outpatient visits.

The effect of air pollution exposure on the risk of outpatient visits for periodontitis: a time-series study.

This study aimed to determine if air pollution affected the risk of periodontitis outpatient visits. We collected the records of 56,456 periodontitis outpatient visits in Hefei, China, from January 1，2014 to December 31，2021. The relationship between air pollution and periodontitis outpatient visits was evaluated using distributed lag nonlinear and generalized linear models. Additional analyses were performed, stratifying the data by age, season, and sex. Subgroup analyses showed a significantly higher risk of periodontitis outpatient visits due to NO2 exposure during the warm season compared with the cold season. Moreover, O3 exposure was associated with a lower risk of periodontitis outpatient visits in the cold season. The findings suggest that NO2 exposure is associated with an increased risk of periodontitis outpatient visits, whereas O3 exposure is associated with a decreased risk of periodontitis outpatient visits. Season is found to be an effect modifier in these associations.

Tunable Chiral Plasmonic Activities Enabled via Stimuli Responsive Micro-Origami.

Chiral plasmonic nanomaterials with distinctive circularly polarized light-dependent optical responses over a broad range of frequency have great potential for photonic and biomedical applications. However, it still remains challenging to fabricate 3D plasmonic chiral micro-constructs with readily modulated chiroptical properties over the magnitude of ellipticity, mode frequency, and switchable handedness, especially in the vis-NIR range. In this study, polymeric micro-origami-based 3D plasmonic chiral structures are constructed through self-rolling of gold  nanospheres (AuNSs)-decorated polymeric micro-sheets. Spherical AuNSs are assembled as highly ordered linear chains on 2D rectangular micro-sheets by polydimethylsiloxane-wrinkle assisted assembly. Upon rolling the micro-sheets to micro-tubules, the AuNS chains transform into 3D helices. The AuNS-assembled helices induce collective plasmonic modes propagating in a helical manner, leading to a strong chiral response over the vis-NIR range. The circular dichroism (CD) is measured to be as high as hundreds of millidegree, and the position and sign of CD peaks are actively modulated by controlling the orientated angle of AuNS chains, enabled by tuning the collective plasmonic modes. This micro-origami-based strategy incorporates the incompatible 2D assembly technique with 3D chiral structures, opening up an intriguing way toward constructing chiral plasmonic structures and modulating chiroptical effects based on responsive polymeric materials.

Association between short-term exposure to ambient air pollution and outpatient visits for pulpitis in Hefei, China: a time series study.

Evidence suggests a possible association between ambient air pollutants and oral diseases. Nevertheless, information regarding the relationship between air pollutants and pulpitis is scarce and inconclusive. In view of this, the present study aimed to investigate the relationship between short-term exposure to air pollution and outpatient visits for pulpitis. Daily data on outpatient visits for pulpitis, air pollutants, and meteorological data in Hefei, China, was collected from January 1, 2015 to December 31, 2021. The association between exposure to air pollutants and pulpitis outpatient visits was evaluated using distributed lag non-linear model (DLNM) and a generalized linear model (GLM). Furthermore, stratified analyses were performed by gender, age and season. A total of 93,324 records of outpatient visits for pulpitis were included in this study. The results showed that exposure to NO2, PM2.5, and CO were positively correlated with an increased risk of pulpitis outpatient visits. Each 10 µg/m3 increase in NO2 and PM2.5 concentration, at lag 0-2 day, was associated with a 2.4% (relative risk (RR) = 1.024, 95% confidence interval (CI): 1.014-1.035) and 0.5% (RR = 1.005, 95% CI: 1.000-1.010) increase in pulpitis outpatient visits, respectively. With a 1 mg/m3 increase in CO concentration, the risk of pulpitis outpatient visits increased by 9.1% (RR = 1.091, 95% CI: 1.031-1.154, lag 0-1 day). Intriguingly, exposure to O3 was associated with a decreased risk of pulpitis outpatient visits (RR = 0.990, 95% CI: 0.984-0.995, lag 0-5 day). Subgroup analysis revealed that in the warm season, exposure to PM2.5, O3, and CO was related with a significantly higher outpatient risk of pulpitis than in the cold season. Additionally, the influence of PM2.5 and CO exposure at age < 65 years was significantly stronger than at age ≥ 65 years. In conclusion, exposure to ambient NO2, PM2.5, and CO is associated with an increase in pulpitis outpatient visits in Hefei, China. Conversely, exposure to O3 reduces the risk of outpatient visits for pulpitis. Age and season are effect modifiers of these associations.

Association between air pollution exposure and outpatient visits for dermatomyositis in a humid subtropical region of China: a time-series study.

In recent years, a growing number of studies have found that air pollution plays critical roles in the onset and development of autoimmune diseases, but few studies have shown an association between air pollutants and dermatomyositis (DM). We sought to investigate the relationship between short-term exposure to air pollution and outpatient visits for DM and to quantify the burden of DM due to exposure to air pollutants in Hefei, China. Daily records of hospital outpatient visits for DM, air pollutants and meteorological factors data in Hefei from January 1, 2018 to December 31, 2021 were obtained. We used a distributed lag non-linear model (DLNM) in conjunction with a generalized linear model (GLM) to explore the association between air pollution and outpatient visits for DM, and conducted stratified analyses by gender, age and season. Moreover, we used attributable fraction (AF) and attributable number (AN) to reflect the burden of disease. A total of 4028 DM clinic visits were recorded during this period. High concentration nitrogen dioxide (NO2) exposure was associated with increased risk of DM outpatient visits (relative risk (RR) 1.063, 95% confidence interval (CI) 1.015-1.114, lag 0-5). Intriguingly, exposure to high concentration ozone (O3) was associated with reduced risk of outpatient visits for DM (RR 0.974, 95% CI 0. 0.954-0.993, lag 0-6). The results of stratified analyses showed that the cold season (vs. warm season) were more susceptible to outpatient visits for DM associated with NO2 and O3 exposure. In addition, we observed that an increased risk of DM outpatient visits was attributable to high concentration NO2 exposure, while high concentration O3 exposure was associated with a decreased risk of DM outpatient visits. This study provided a scientific basis for the etiology research and health protection of DM.

Global burden and cross-country inequalities in autoimmune diseases from 1990 to 2019.

AIM: To describe burden, and to explore cross-country inequalities across sociodemographic development levels for four autoimmune diseases (ADs) including rheumatoid arthritis (RA), inflammatory bowel disease (IBD), multiple sclerosis (MS) and psoriasis (PS). METHODS: The estimates and their 95% uncertainty interval (UI) for disability-adjusted life-years (DALYs) of RA, IBD, MS and PS were extracted from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Age-standardized DALYs rate (ASDR) across 204 countries, as well as age and sex distribution of global DALYs rate of these four ADs were illustrated. Slope index of inequality and concentration index, which are two standard metrics of absolute and relative gradient inequality recommended by World Health Organization (WHO), were utilized to quantify the distributive inequalities in the burden of ADs. RESULTS: In 2019, the ASDR of RA, IBD, MS and PS varied remarkably across 204 countries, with different age and sex distribution of global DALYs rate. The slope index of inequality changed from 26.7 (95% CI: 20.7 to 32.8) in 1990 to 40.3 (95% CI: 31.9 to 48.7) in 2019 for RA, from 17.1 (95% CI: 12.4 to 21.7) in 1990 to 25.2 (95% CI: 20.1 to 30.2) in 2019 for IBD, from 19.3 (95% CI: 15.2 to 23.4) in 1990 to 28.9 (95% CI: 24.2 to 33.5) in 2019 for MS, from 42.3 (95% CI: 33.1 to 51.6) in 1990 to 40.2 (95% CI: 32.5 to 48.0) in 2019 for PS. Moreover, the concentration index showed 20.4 (95% CI: 18.9 to 22.0) in 1990 and 18.2 (95% CI: 16.7 to 19.6) in 2019 for RA, 25.0 (95% CI: 23.0 to 27.1) in 1990 and 33.5 (95% CI: 31.6 to 35.5) in 2019 for IBD, 46.7 (95% CI: 44.0 to 49.3) in 1990 and 41.8 (95% CI: 39.6 to 44.1) in 2019 for MS, 31.7 (95% CI: 29.0 to 34.4) in 1990 and 32.6 (95% CI: 29.9 to 35.2) in 2019 for PS. CONCLUSIONS: There is a strong heterogeneity in ASDR across all countries, as well as in age and sex distribution of global DALYs rate for four ADs including RA, IBD, MS and PS. Countries with higher sociodemographic development levels shouldered disproportionately higher burden of ADs, and the magnitude of this sociodemographic development level-related inequalities exacerbated over time.

A searchable image resource of Drosophila GAL4 driver expression patterns with single neuron resolution.

Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally lack the single-cell resolution required for reliable cell type identification. Here, we use stochastic GAL4 labeling with the MultiColor FlpOut approach to generate cellular resolution confocal images at large scale. We are releasing aligned images of 74,000 such adult central nervous systems. An anticipated use of this resource is to bridge the gap between neurons identified by electron or light microscopy. Identifying individual neurons that make up each GAL4 expression pattern improves the prediction of split-GAL4 combinations targeting particular neurons. To this end, we have made the images searchable on the NeuronBridge website. We demonstrate the potential of NeuronBridge to rapidly and effectively identify neuron matches based on morphology across imaging modalities and datasets.

Targeting erythrocyte-mediated hypoxia to alleviate lung injury induced by pyrrolizidine alkaloids.

Pyrrolizidine alkaloids (PAs) are widely distributed natural toxins and have been extensively studied for their hepatotoxicity. However, PA-induced pulmonary toxicity remains less studied regarding the initiating mechanism and treatment approaches. Our previous study demonstrated the formation of pyrrole-hemoglobin adducts after PA exposure in vivo, which is suspected to affect the oxygen-carrying capacity of erythrocytes [red blood cells (RBCs)] consequently. The present study aimed to investigate the effects of PAs on the oxygen-carrying capacity of RBCs and the potential of targeting RBC-mediated hypoxia to alleviate PA-induced lung injury. First, rats were treated with retrorsine (RTS) or monocrotaline (MCT) intravenously at 0.2 mmol/kg. The results of Raman spectrometry analysis on blood samples revealed both RTS and MCT significantly reduced the oxygen-carrying capacity of RBCs. Further, MCT (0.2 mmol/kg) was orally given to the rats with or without pretreatment with two doses of erythropoietin (Epo, 500 IU/kg/dose every other day), an RBC-stimulating agent. Biochemical and histological results showed pretreatment with Epo effectively reduced the cardiopulmonary toxicity induced by MCT. These findings provide the first evidence that adduction on hemoglobin, and the resulting RBC damage and impaired oxygen-carrying capacity, are the major initiating mechanism underlying PA-induced pulmonary arterial hypertension (PAH), while targeting the RBC damage is a potential therapeutic approach for PA-induced lung injury.

Formation of DHP-DNA Adducts from Rat Liver Microsomal Metabolism of 1,2-Unsaturated Pyrrolizidine Alkaloid-Containing Plant Extracts and Dietary Supplements.

1,2-Unsaturated pyrrolizidine alkaloids (PAs) are carcinogenic phytochemicals. We previously determined that carcinogenic PAs and PA N-oxides commonly form a set of four (±)-6,7-dihydro-7-hydroxy-1-hydroxymethyl-5H-pyrrolizine (DHP)-DNA adducts, namely, DHP-dG-3, DHP-dG-4, DHP-dA-3, and DHP-dA-4. This set of DHP-DNA adducts has been implicated as a potential biomarker of PA-induced liver tumor initiation from metabolism of individual carcinogenic PAs. To date, it is not known whether this generality occurs from metabolism of PA-containing plant extracts. In this study, we investigate the rat liver microsomal metabolism of nine PA-containing plant extracts and two PA-containing dietary supplements in the presence of calf thymus DNA. The presence of carcinogenic PAs and PA N-oxides in plant extracts was first confirmed by LC-MS/MS analysis with selected reaction monitoring mode. Upon rat liver microsomal metabolism of these PA-containing plant extracts and dietary supplements, the formation of this set of DHP-DNA adducts was confirmed. Thus, these results indicate that metabolism of PA-containing plant extracts and dietary supplements can generate DHP-dG-3, DHP-dG-4, DHP-dA-3, and DHP-dA-4 adducts, thereby potentially initiating liver tumor formation.

Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression.

Background and Aims: Identifying potential high-risk groups of oxaliplatin-induced liver injury (OILI) is valuable, but tools are lacking. So artificial neural network (ANN) and logistic regression (LR) models will be developed to predict the risk of OILI. Methods: The medical information of patients treated with oxaliplatin between May and November 2016 at 10 hospitals was collected prospectively. We used the updated Roussel Uclaf causality assessment method (RUCAM) to identify cases of OILI and summarized the patient and medication characteristics. Furthermore, the ANN and LR models for predicting the risk of OILI were developed and evaluated. Results: The incidence of OILI was 3.65%. The median RUCAM score with interquartile range was 6 (4, 9). The ANN model performed similarly to the LR model in sensitivity, specificity, and accuracy. In discrimination, the area under the curve of the ANN model was larger (0.920>0.833, p=0.019). In calibration, the ANN model was slightly improved. The important predictors of both models overlapped partially, including age, chemotherapy regimens and cycles, single and total dose of OXA, glucocorticoid drugs, and antihistamine drugs. Conclusions: When the discriminative and calibration ability was given priority, the ANN model outperformed the LR model in predicting the risk of OILI. Other chemotherapy drugs in oxaliplatin-based chemotherapy regimens could have different degrees of impact on OILI. We suspected that OILI may be idiosyncratic, and chemotherapy dose factors may be weakly correlated. Decision making on prophylactic medications needs to be carefully considered, and the actual preventive effect needed to be supported by more evidence.

Engineered Wood with Hierarchically Tunable Microchannels toward Efficient Solar Vapor Generation.

Wood-based solar steam evaporators have been attracting increasing interest due to their great potential for addressing water scarcity by utilizing sustainable materials and energy. However, engineering a 3D porous structure within the wood lumens and its effect on solar vapor evaporation have not yet been well explored. Here, a natural wood-based solar evaporator with hierarchical pores is fabricated by assembling polyvinyl alcohol within the lumens through an ice-templating approach. The polyvinyl alcohol porous network is engineered from vertically aligned microchannels to dendritically bridged pores with a narrowed size of a few micrometers and significantly increased surface area. Although the formation of plenty of microscopic channels increases the capillary force in comparison to the native wood lumen, the morphology change induces a high tortuosity factor of the porous structure, resulting in a reduced water transportation rate as well as an increased contact angle. On the other hand, the high surface area of the engineered wood lumens and the good hydrophilicity of the filled polyvinyl alcohol improve the ratio of the formed intermediate water, contributing to reduced vaporization enthalpy. Consequently, by using polydopamine as the photothermal material, the hierarchically structured polyvinyl alcohol-wood solar evaporator exhibits an evaporation rate of 1.6 kg m-2 h-1 under 1 sun irradiation and a high solar evaporation efficiency of up to 107%, which are higher than most of the reported natural-wood-based solar evaporators. Moreover, by exploring the correlation between porous morphology and performance, it has been found that the polyvinyl alcohol-wood composite not only presents an inexpensive and sustainable evaporator but also provides guidelines for designing high-performance steam generation devices.