Association between serum periostin levels and the severity of arsenic-induced skin lesions

Arsenic contamination in rice: a DPSIR analysis with a focus on top rice producers

Arsenic contamination in rice poses significant risks to public health and food security. While previous reviews have examined specific aspects of this issue, they often lack a comprehensive analysis linking human activities to arsenic contamination and its broader consequences. This review applies the DPSIR (Driving Forces-Pressures-States-Impacts-Responses) framework to elucidate the cause-and-effect relationships of arsenic contamination in rice, with a focus on top rice producers. It also synthesizes current knowledge on the environmental sources, fate, and transport of arsenic across different environmental compartments, illustrating its movement from emission sources to accumulation in rice while highlighting the complex interplay between environmental conditions, rice varieties, and contamination levels. The DPSIR analysis revealed that socioeconomic factors, including population growth and industrialization, were the primary driving forces behind arsenic contamination in rice. These factors increased pressures such as reliance on arsenic-contaminated irrigation water, historical pesticide use, and industrial pollution, which contributed to arsenic accumulation in rice-growing environments. Consequently, the soil, water, and rice were contaminated with arsenic at various levels, posing serious risks to human health. The impacts extend beyond health concerns to disruptions in global rice trade and threats to food security. In response, various mitigation strategies have been implemented, including regulation, sustainable agricultural practices, water and soil remediation, and public guidance. However, challenges persist, requiring an integrated approach that incorporates scientific advancements, policy interventions, and improved agricultural techniques. Key research priorities include developing arsenic-resistant rice varieties, assessing health risks for vulnerable populations, quantifying economic losses, and determining arsenic-related foodborne diseases burden.

Novel evidence of arsenic-related excess adiposity and its implication in the risk of cardiometabolic diseases

Arsenic exposure is associated with obesity- or excess adiposity-related disorders, including cardiometabolic diseases. Previously, many human studies attempted to establish the association of arsenic exposure with obesity, mainly through body mass index (BMI) but failed to provide any concrete evidence. Our study aimed to investigate the arsenic-related adiposity and its relationship with cardiometabolic diseases. Of the 524 participants, 126 and 398, respectively, were chosen from low- and high-arsenic exposure areas in Bangladesh. Obesity or body fat (adiposity) of the participants was measured by anthropometric measures [BMI, waist circumference (WC), and triceps skinfold thickness (TSFT)] and a serum biomarker, leptin. Sarcopenic characteristics were assessed by lean body mass (LBM) and serum creatinine levels. Insulin resistance, as measured by Homeostatic Model Assessment for Insulin Resistance (HOMA-IR), hypertension, and hyperglycemia, were considered as the risk factors for cardiometabolic diseases. There were significant positive associations between drinking water, hair, and nail arsenic concentrations and the levels of WC and TSFT after adjusting for potential confounders. However, there were no significant associations with BMI. Increased arsenic exposure levels were associated with increased leptin levels [(Regression coefficient (β) = 1.00, 95% confidence interval (CI): 0.53, 1.46) for water, (β = 1.44, 95% CI: 0.42, 2.46) for hair, and (β = 1.47, 95% CI: 0.32, 2.61) for nail arsenic]. Notably, leptin levels had inverse associations with LBM (β = -7.87, 95% CI: -13.30, -2.45) and creatinine levels (β = -15.65, 95% CI: -21.50, -9.81). Furthermore, the elevated leptin levels associated with arsenic exposure were connected to higher HOMA-IR levels (β = 0.19, 95% CI: 0.14, 0.24), higher odds of hypertension [Odds ratio (OR) = 1.31, 95% CI: 1.12, 1.53], and hyperglycemia (OR = 1.30, 95% CI: 1.13, 1.47). Taken together, the results of this study demonstrated a unique association between arsenic exposure and adiposity, which could promote arsenic-induced cardiometabolic disorders by mirroring the distinctive characteristics of age-associated sarcopenic obesity.

Rapid and noninvasive estimation of human arsenic exposure based on 4-photo-set of the hand and foot photos through artificial intelligence

Chronic exposure to arsenic is linked to the development of cancers in the skin, lungs, and bladder. Arsenic exposure manifests as variegated pigmentation and characteristic pitted keratosis on the hands and feet, which often precede the onset of internal cancers. Traditionally, human arsenic exposure is estimated through arsenic levels in biological tissues; however, these methods are invasive and time-consuming. This study aims to develop a noninvasive approach to predict arsenic exposure using artificial intelligence (AI) to analyze photographs of hands and feet. By incorporating well water consumption data and arsenic concentration levels, we developed an AI algorithm trained on 9988 hand and foot photographs from 2497 subjects. This algorithm correlates visual features of palmoplantar hyperkeratosis with arsenic exposure levels. Four pictures per patient, capturing both ventral and dorsal aspects of hands and feet, were analyzed. The AI model utilized existing arsenic exposure data, including arsenic concentration (AC) and cumulative arsenic exposure (CAE), to make binary predictions of high and low arsenic exposure. The AI model achieved an optimal area under the curve (AUC) values of 0.813 for AC and 0.779 for CAE. Recall and precision metrics were 0.729 and 0.705 for CAE, and 0.750 and 0.763 for AC, respectively. While biomarkers have traditionally been used to assess arsenic exposure, efficient noninvasive methods are lacking. To our knowledge, this is the first study to leverage deep learning for noninvasive arsenic exposure assessment. Despite challenges with binary classification due to imbalanced and sparse data, this approach demonstrates the potential for noninvasive estimation of arsenic concentration. Future studies should focus on increasing data volume and categorizing arsenic concentration statistics to enhance model accuracy. This rapid estimation method could significantly contribute to epidemiological studies and aid physicians in diagnosis.

Combating coal-burning-borne endemic arsenism in Shaanxi Province, Northwest China: The impact of high-arsenic coal ban, improved cook-stoves, and health education

To eliminate the epidemic of coal-burning-borne endemic arsenism (CBBA), our study organized and implemented comprehensive measures including high-arsenic coal ban, improved cook-stoves, and health education. We also aimed to promote the application value of these measures in preventing and controlling CBBA to the world. From 2004 to 2005, through a stratified random sampling method, we selected 58,256 individuals to investigate the prevalence of CBBA and the arsenic levels in 1287 environmental and biological specimens. The prevalence of CBBA was 19.26 % and significantly associated with the arsenic levels in coal, pepper, corn and hair, which were at or exceeded national upper limits. To timely prevent and control the disease, the comprehensive measures have been implemented since 2005 to present. Comparison and correlation analyses were utilized to evaluate the effectiveness of these measures in reducing the prevalence of CBBA. According to statistics, 73 high-arsenic coal mines were banned and over 99 % households in endemic areas accepted stove improvements and diversified health education. Monitoring studies during 2010-2019 has confirmed that these measures led to a decrease in urine arsenic levels among endemic residents, and they developed novel dietary practices, such as properly drying, storage, and washing of food. Additionally, the awareness rate of CBBA increased from less than 70 % to over 95 %. Finally, the prevalence of CBBA has decreased to 0.153 % investigated by a census involving 2.076 million endemic residents in 2019. In summary, CBBA in northwest China has been successfully controlled through banning on high-arsenic coal, introducing improved cook-stoves, and providing health education.

Association of Methionine Synthase rs1805087 Polymorphism With Arsenic-Related Skin Pigmentary Changes: A Population-Based Case-Control Study

Objective:

Chronic arsenic exposure causes skin lesions including skin cancers, pigmentary changes, and keratosis. Genetic polymorphism in arsenic metabolism may increase susceptibility to the development of arsenic-related skin lesions. This study was performed to determine whether arsenic metabolism-related gene variants are associated with arsenic-related pigmentary changes.

Methods:

This case–control study involved 189 patients with arsenic-related pigmentary changes and 103 controls. Thirty-eight polymorphisms in 10 genes determined by mass spectrometry assay served as candidate drivers of arsenic-induced pigmentary changes. Urine and plasma arsenic levels were determined by inductively coupled plasma mass spectrometry. Hair arsenic concentrations were measured by nondispersive atomic fluorescence spectrometry. Arsenic metabolites in urine were determined using high-performance liquid chromatography with inductively coupled plasma mass spectrometry. Serum folate was measured using a folate radio assay kit. Analysis of variance, nonparametric test, or the chi-square test was selected according to the data distribution. Spearman correlation analysis was used to determine the correlation between two parameters. Logistic regression was used to estimate the effect of single-nucleotide polymorphisms.

Results:

The arsenic concentrations in urine, plasma, and hair and the urine arsenic species were not significantly different between patients and controls. Logistic regression revealed that among the polymorphisms, the methionine synthase (MTR) rs1805087 polymorphism showed a protective effect against arsenic-related pigmentary changes. In the codominant model, the adjusted odds ratio for age, sex, and ethnicity was 0.41 (95% confidence interval [CI], 0.21–0.80; P = 0.008) for the AG genotype and 0.11 (95% CI, 0.02–0.60; P = 0.012) for the GG genotype.

Conclusion:

MTR polymorphism showed a protective effect against arsenic-related pigmentary changes in the logistic regression model. The effect of MTR rs1805087 might be independent of arsenic metabolism and one-carbon metabolism. More studies are needed to clarify the biological function of MTR rs1805087 and its relationship with the etiology of arsenic-related pigmentary changes.

Arsenic Exposure-Related Hypertension in Bangladesh and Reduced Circulating Nitric Oxide Bioavailability

BACKGROUND

Hypertension is a major cause of death worldwide. Although arsenic exposure has been associated with the risk of hypertension, this association appears nonuniform due to inconsistent results from studies conducted in different populations. Moreover, hypertension is a complex condition with multiple underlying mechanisms and factors. One factor is impaired production and bioavailability of vascular nitric oxide (NO). However, the implications of the effects of arsenic exposure on circulating NO and its association with hypertension in humans are largely unknown.

OBJECTIVE

We investigated the dose-response relationship between arsenic exposure and hypertension with vascular NO levels as a potential mediator of arsenic-related hypertension in individuals exposed to a broad range of arsenic.

METHODS

A total of 828 participants were recruited from low- and high-arsenic exposure areas in Bangladesh. Participants' drinking water, hair, and nail arsenic concentrations were measured by inductively coupled plasma mass spectroscopy. Hypertension was defined as a systolic blood pressure (SBP) value of ≥ 140 and a diastolic (DBP) value of ≥ 90  mmHg . Serum NO levels reflected by total serum nitrite concentrations were measured by immunoassay. A formal causal mediation analysis was used to assess NO as a mediator of the association between arsenic level and hypertension.

RESULTS

Increasing concentrations of arsenic measured in drinking water, hair, and nails were associated with the increasing levels of SBP and DBP. The odds of hypertension were dose-dependently increased by arsenic even in participants exposed to relatively low to moderate levels (10 - 50 μ g / L ) of water arsenic [odds ratios (ORs) and 95% confidence intervals (CIs): 2.87 (95% CI: 1.28, 6.44), 2.67 (95% CI: 1.27, 5.60), and 5.04 (95% CI: 2.71, 9.35) for the 10 - 50 μ g / L , 50.01 - 150 μ g / L , and > 150 μ g / L groups, respectively]. Causal mediation analysis showed a significant mediating effect of NO on arsenic-related SBP, DBP, and hypertension.

CONCLUSION

Increasing exposure to arsenic was associated with increasing odds of hypertension. The association was mediated through the reduction of vascular NO bioavailability, suggesting that impaired NO bioavailability was a plausible underlying mechanism of arsenic-induced hypertension in this Bangladeshi population. https://doi.org/10.1289/EHP13018.

LC-MS based untargeted metabolomics studies of the metabolic response of Ginkgo biloba extract on arsenism patients

Arsenic is an environmentally ubiquitous toxic metalloid. Chronic exposure to arsenic may lead to arsenicosis, while no specific therapeutic strategies are available for the arsenism patients. And Ginkgo biloba extract (GBE) exhibited protective effect in our previous study. However, the mechanisms by which GBE protects the arsenism patients remain poorly understood. A liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics analysis was used to study metabolic response in arsenism patients upon GBE intervention. In total, 39 coal-burning type of arsenism patients and 50 healthy residents were enrolled from Guizhou province of China. The intervention group (n = 39) were arsenism patients orally administered with GBE (three times per day) for continuous 90 days. Plasma samples from 50 healthy controls (HC) and 39 arsenism patients before and after GBE intervention were collected and analyzed by established LC-MS method. Statistical analysis was performed by MetaboAnalyst 5.0 to identify differential metabolites. Multivariate analysis revealed a separation in arsenism patients between before (BG) and after GBE intervention (AG) group. It was observed that 35 differential metabolites were identified between BG and AG group, and 30 of them were completely or partially reversed by GBE intervention, with 14 differential metabolites significantly up-regulated and 16 differential metabolites considerably down-regulated. These metabolites were involved in promoting immune response and anti-inflammatory functions, and alleviating oxidative stress. Taken together, these findings indicate that the GBE intervention could probably exert its protective effects by reversing disordered metabolites modulating these functions in arsenism patients, and provide insights into further exploration of mechanistic studies.

Heavy metal levels are positively associated with serum periostin and miRNA-125b levels, but inversely associated with miRNA-26a levels in pediatric asthma cases. A case-control study

BACKGROUND

The study investigated heavy metals levels [urinary cadmium (U-Cd), erythrocytic cadmium (E-Cd), urinary arsenic (U-As), and whole blood lead (WB-Pb)] in children with bronchial asthma (BA) and tested their associations with serum periostin, miRNA-125b and miRNA-26a levels, and with asthma severity clinically and laboratory [blood eosinophils count (BEC) and serum total immunoglobin E (IgE)]. Also, we tested cut-off points, for the studied parameters, to distinguish BA cases from healthy children.

METHODS

This case-control study included 158 children divided into control group; n = 72 and BA group; n = 86. Heavy metals were measured by an inductively coupled plasma-optical emission spectrophotometer. Serum periostin and IgE levels were measured by their corresponding ELISA kits. miRNAs relative expressions were estimated by RT-qPCR using the 2-ΔΔCT method.

RESULTS

Heavy metals, serum periostin, and miR-125b levels were significantly high in BA group (p < 0.001). Heavy metals levels correlated positively with serum periostin, miR-125b and IgE levels, BEC, and asthma severity. The reverse was observed regarding serum miR-26a levels. Receiver operating characteristics (ROC) curve analysis showed good to excellent abilities of U-Cd, E-Cd, U-As, WB-Pb, serum periostin, miRNA-125b, and miRNA - 26a, and total IgE levels to distinguish BA cases from healthy children.

CONCLUSIONS

Heavy metal toxicity in children is associated with BA severity, increased serum periostin and miRNA-125b levels, and decreased miRNA-26a levels. Specific measures to reduce children's exposure to heavy metals should be taken. Future research should consider blocking miRNA-125b action or enhancing miRNA-26a action to manage BA cases.

The Unknown Role of Periostin in Psoriatic Epidermal Hyperplasia

Psoriasis is an inflammatory skin disease that affects 1-2% of the general population. The pathomechanism is based on type 1 immunological reactions. Hyperplasia of the epidermis in psoriasis is a result of disrupted epidermal architecture due to increased synthesis and expression of extracellular matrix proteins. In our study, we analyzed the involvement of periostin (POSTN) in the pathogenesis of psoriasis, as one of the extracellular matrix proteins belonging to the fasciclin family. The study group consisted of 70 patients with psoriasis, while the control group comprised 30 healthy individuals. The serum concentrations of POSTN, Il-6, Il-17, Il-22, TNF-α and IFN-γ were measured in all participants. The severity of psoriasis was determined using the PASI (Psoriasis Area and Severity Index) score. The presence of POSTN in biopsy samples of 50 patients was assessed using the direct immunofluorescence method. The results were subjected to statistical analysis. The serum concentrations of POSTN, Il-6, Il-17, Il-22, TNF-α and IFN-γ in the study group are significantly higher than in the control group. Positive correlation has been demonstrated between the PASI score and the investigated cytokines, but not with POSTN. There was no statistically significant correlation between the POSTN level and the cytokines levels. POSTN deposits were localized in the epidermis in 66% of patients with psoriasis. The role of POSTN in the pathogenesis of psoriasis remains unclear. The mechanisms inducing the synthesis and expression of POSTN in psoriatic skin are not yet fully understood. Further research is needed to enhance our understanding of the mechanism underlying epidermal hyperplasia in psoriasis.