Association between urinary mixture metal levels and olfactory function in coal miners.

Background: Exposure to occupational metallic mixtures has a potential impact on olfactory function. However, research evidence is limited on the potential impact of exposure to metallic mixtures and olfactory dysfunction. Furthermore, the coal dust generated contains multiple various metals during coal mining, and no study yet has focus on the olfactory dysfunction of coal miners. Objectives: In this study, we evaluate the association between urinary metallic mixtures and olfactory function in coal miners, while also exploring the potential applicability of plasma olfactory marker protein (OMP) as a biomarker for assessing olfaction. Methods: From July to October 2023, coal workers from seven different coal mining enterprises were recruited for the survey when they come for the employee health checkup. Ultimately, 376 participants were met the inclusion criteria and, respectively, determined with the concentrations of urine (16 metals) and plasma (OMP). Meanwhile, applying UPSIT to access their olfactory function. Binary logistic regression and restricted cubic spline (RCS) model were used to estimate the association of individual metals with olfactory function. Bayesian kernel machine regression (BKMR) and Quantile g-computation (QG-C) regression were employed to assess the overall association between metal mixtures and olfactory function and identify the major contributing elements. Results: In a single-metal model, two metals in urine were found to be significantly associated with olfactory function. RCS analysis further revealed that the association between Iron (Fe) and olfactory function was linear, while Lead (Pb) exhibited a non-linear. The BKMR model demonstrated a significant positive association between metal mixture concentration and olfactory function. Combined QG-C regression analysis suggested that metals Cr, Fe, Se, Sb, and Pb could impact the performance of the olfactory test (UPSIT), with Pb being identified as the most influential contributor. The correlation between plasma OMP protein levels and urinary metal concentrations was weak. Conclusion: Multiple metals are associated with olfactory function in the coal miners. A significant positive association was observed between metal mixture concentrations and olfactory function, with Pb being the most important contributor. In this study, plasma OMP has not been demonstrated to serve as a biomarker for olfactory function.

Research on the Long-Term Governance Mechanism of Urban and Rural Living Environment Based on the Ordered Logistic-ISM Model in the Perspective of Sustainable Development.

(1) Background: Even though the quality of life in urban and rural areas is better than in traditional rural villages, it is hard to keep up good governance over the long term. Exploring the limitations of villagers' participation in the long-term management of urban rural habitat is exemplary from the perspective of sustainable development in order to improve rural habitat, promote sustainable economic and environmental development, and accomplish rural revitalization. (2) Methods: Long-term management indicators were proposed to provide a technique for evaluating the governance efficacy of urban and rural living environments. Based on the survey data obtained in Shanghai, the ordered logistic-ISM model was used to examine the influencing aspects of urban and rural living environment governance efficacy. (3) Results: In addition to environmental improvement conditions and other factors, long-term management in the village has a significant favorable impact on the evaluation of the governance effect on the living environment in urban and rural locations. (4) Conclusions: Long-term management directly supports villager engagement in environmental development and village infrastructure improvement and has a significant positive impact on the governance of urban and rural living environments. Improvements in infrastructure immediately benefit the administration of urban and rural living situations. Creating a long-term management structure, supporting cooperative governance, optimizing corrective actions, coordinating investments, and advancing ecological and economic sustainability are just a few of the policy improvements suggested.

CYP2D6 Gene Polymorphisms and Variable Metabolic Activity in Schizophrenia Patients of Han and Tibetan Populations.

Background: It has been suggested that the pharmacogenomic response to antipsychotics in schizophrenia patients partially contributed by drug metabolism enzyme polymorphism, including P450 2D6 (CYP2D6). However, CYP2D6 gene polymorphism across populations is largely unknown. Materials and Methods: Here, we investigated the differences of CYP2D6 gene polymorphism between Chinese Han and Tibetan schizophrenia patients. We analyzed five CYP2D6 gene related polymorphic locus in 103 patients with schizophrenia, including 60 Han ethnicity and 43 of Tibetan ethnicity, by nucleic acid MALDI-TOF. Results: Polymorphisms of rs1065852, rs1135840 and rs16947 were significantly different between Han and Tibetan patients. rs1065852 AA genotype had a low frequency of 9.3% in Tibetan patients in comparison with a frequency of 41.7% in Han patients, whereas rs16947 AA genotype had a low frequency of 3.3% in Han patients in comparison with a frequency of 34.9% in Tibetan patients. Additionally, the two patient groups showed distinct distribution of CYP2D6 haplotypes, with the highest frequency of *10/*10 and *1/*2 in Han and Tibetan patients, respectively. Furthermore, Han and Tibetan patients showed differential CYP2D6 metabolic activity. Discussion: Taken together, this exploratory study showed the differences of CYP2D6 gene and metabolic polymorphism between Han and Tibetan schizophrenia patients, and therefore may improve our understanding of the pharmacogenomic response to antipsychotics in schizophrenia patients across populations.

Trait Variations and Probability Grading Index System on Leaf-Related Traits of Eucommia ulmoides Oliver Germplasm.

Eucommia ulmoides Oliver (EUO), an economic tree grown specifically in China, is widely used in various fields. To satisfy the requirements of industrial development, superior varieties need to be selected for different uses. However, there is no unified standard for breeders to reference. In this study, leaf-related traits were classified by a probability grading method. The results indicated there were significant differences between different planting models for the studied traits, and the traits in the Arbor forest model showed more abundant variation. Compared with genotype, the planting model accounted for relatively bigger variance, indicating that the standard should be divided according to planting models. Furthermore, the optimum planting model for different traits would be obtained by analyzing the variation range. Association analyses were conducted among traits to select the crucial evaluation indexes. The indexes were divided into three grades in different planting models. The evaluation system on leaf-related traits of EUO germplasm was established preliminarily, which considered planting models and stability across years for the first time. It can be treated as a reference to identify and evaluate EUO germplasm resources. Additionally, the study served as an example for the classification of quantitative traits in other economically important perennial plants.

Serum Progesterone and Testosterone Levels in Schizophrenia Patients at Different Stages of Treatment.

It has been suggested that dysregulation of hormones is associated with schizophrenia (SCZ). This study aimed to measure the serum levels of progesterone and testosterone in 125 SCZ patients at different stages of treatment and 96 healthy control (HC) subjects. Our results showed that first-episode drug-free SCZ patients had significantly increased testosterone levels when compared with HC subjects, and chronic medication, but not short-term medication, further increased the serum testosterone levels in the patients. Further analysis suggested that the sex of the patients did not affect testosterone levels. In contrast, serum progesterone levels did not show significant differences between first-episode, drug-free SCZ patients and controls, and the antipsychotics increased progesterone levels in the male SCZ patients, but not female patients. Interestingly, our analyses demonstrated that the serum progesterone levels were negatively correlated with PANSS total score and PNASS positive score, suggesting a correlation between blood hormone levels and disease severity in SCZ patients. Taken together, our data showed differential changes in serum testosterone and progesterone levels in SCZ patients with or without antipsychotics, and our results suggest that increased sex hormone levels may be a defensive response to protect the human body under stress.

Analysis of coenzyme Q(10) in human plasma by column-switching liquid chromatography.

A new method of determining coenzyme Q10 in human plasma was developed based on column-switching high performance liquid chromatography (HPLC). CoQ10 was quantitatively extracted into 1-propanol with a fast one-step extraction procedure, after centrifugation, the supernatant was cleaned on an octadecyl-bonded silica column and then transferred to reversed-phase column by a column-switching valve. Determination of CoQ10 was performed on a reversed-phase analytical column with ultraviolet detection at 275 nm and the mobile phase containing 10% (v/v) isopropanol in methanol at a flow-rate of 1.5 ml/min. The sensitivity of this method allows the detection of 0.1 microg/ml CoQ10 in plasma (S/N=3). The linearity between the concentration and peak height is from 0.05 to 20 mg/l. The reproducibility (R.S.D.%) of the method is less than 2% (within day) and less than 3% (between day), the average recovery is 100.9 + 2.1%, it takes only 30 min to complete an analysis procedure, suitable for the determination of CoQ10 in human plasma especially for batch analysis in clinical laboratories. Finally, the method was applied to determine the plasma CoQ10 levels in healthy subjects, hyperthyroid and hypothyroid patients.