The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

OBJECTIVES: This study aims to explore the current status and risk factors of oral health-related quality of life OHRQoL in patients with mental disorders and provide evidence for effective intervention measures. METHODS: A total of 397 patients diagnosed with mental illness were selected by convenience sampling, and investigation was carried out using general data questionnaire, health literacy in dentistry-14 (HeLD-14), oral health impact profile-14 (OHIP-14), and oral health status checklist. RESULTS: The total score of OHIP-14 in patients with mental disorders was 8(2, 14). The score of HeLD-14 was negatively correlated with the score of OHIP-14 (r=-0.142, P<0.01). The results of multiple linear regression showed that six variables including annual family income, schizophrenia, sweets, frequency of visits to the dentist, dental caries, and missing teeth affected OHRQoL of patients with mental disorders (P<0.05). CONCLUSIONS The poor OHRQoL of psychiatric patients is associated with many factors. Medical personnel should pay attention to their oral health problems and develop targeted oral care programs throughout the course of disease to improve oral health and related quality of life of patients.
Humans ; Quality of Life ; Oral Health ; Mental Disorders ; Risk Factors ; Surveys and Questionnaires ; Male ; Female ; Dental Caries ; Adult ; Middle Aged ; Schizophrenia

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Toxoplasmosis is a zoonotic disease caused by infection with Toxoplasma gondii. Congenital toxoplasmosis is a common form of intrauterine infection and is associated with severe neurological sequelae such as cerebral palsy and cognitive impairment. This report presented the magnetic resonance imaging (MRI) features of a fetal intracranial toxoplasmosis case, including bilateral ventriculomegaly, multiple intracranial cystic lesions, and parenchymal calcifications, without concurrent retinal abnormalities or hepatosplenomegaly. Post-termination analyses confirmed the presence of T.gondii DNA in amniotic fluid and umbilical venous blood, with histopathology revealing necrosis and eosinophilic infiltration. MRI demonstrates superior soft-tissue resolution in evaluating the extent of cerebral lesions and parenchymal damage, underscoring its diagnostic value in fetal toxoplasmic encephalopathy.

Toxoplasmosis is a zoonotic disease caused by infection with Toxoplasma gondii. Congenital toxoplasmosis is a common form of intrauterine infection and is associated with severe neurological sequelae such as cerebral palsy and cognitive impairment. This report presented the magnetic resonance imaging (MRI) features of a fetal intracranial toxoplasmosis case, including bilateral ventriculomegaly, multiple intracranial cystic lesions, and parenchymal calcifications, without concurrent retinal abnormalities or hepatosplenomegaly. Post-termination analyses confirmed the presence of T.gondii DNA in amniotic fluid and umbilical venous blood, with histopathology revealing necrosis and eosinophilic infiltration. MRI demonstrates superior soft-tissue resolution in evaluating the extent of cerebral lesions and parenchymal damage, underscoring its diagnostic value in fetal toxoplasmic encephalopathy.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

Objective Based on the assumption of spatial heterogeneity,the distribution pattern and risk characteristics of health poverty in middle-aged and elderly people with chronic diseases are described from the perspective of spatial differentiation.In order to providing a theoretical basis for the optimization of subsequent poverty reduction policies and a model policy for other countries.Methods It used factor detector and interaction detector to capture the role of single-factor and multi-factor interactions on the spatial differentiation of health poverty,and risk detectors were utilized to explore the high-risk factors in risky areas Results The single factor explanation of medical assistance and health education activities is prominent,and the factors such as PM2.5,old-age dependency ratio and urban unemployment rate have strong interaction.Furthermore,it identified high-risk factor characteristics in areas at high risk of health poverty.Conclusion The spatial differentiation pattern of health poverty among the middle-aged and elderly chronic disease population in China is the result of the synergistic driving effect of multidimensional factors,and there is variability in the risk characteristics among regions.The government should establish a contextual optimization strategy and pay attention to the joint effect of multiple factors to establish a synergistic management system.

Objective To examine the expression levels of inflammatory factors,including IL-6,IL-10,MMP-9,IL-17A,and LDH,in the cerebrospinal fluid(CSF)of patients with spontaneous intracerebral hemor-rhage(sICH),and to investigate their associations with disease severity and clinical outcomes.Methods A total of 168 patients with sICH admitted to Tangshan GongRen Hospital between January 2023 and January 2025 were prospectively enrolled as the study group,while 30 non-sICH patients who underwent lumbar puncture during the same period served as the control group.Levels of inflammatory factors in CSF were compared between the two groups.Spearman's rank correlation analysis was performed to assess the association between inflammatory factor levels and clinical severity in sICH patients.Binary logistic regression analysis was conducted to identify independent predictors of sICH prognosis.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the prognostic value of these inflammatory factors in sICH.Results The levels of IL-6,IL-10,MMP-9,IL-17A,and LDH in the CSF of patients with sICH were significantly higher than those in non-sICH patients(all P<0.05).Furthermore,among sICH patients,these biomarker levels exhibited a graded increase according to disease severity:severe>moderate>mild(all P<0.05).Spearman correlation analysis revealed significant positive correlations between CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH and the NIHSS scores,with correlation coefficients(r)of 0.686,0.553,0.685,0.593,and 0.695,respectively(all P<0.05).When comparing the prognoses of sICH patients,hematoma size,NIHSS score,and CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were significantly higher in the deceased group than in the survival group(P<0.05),whereas ApoA1 levels were lower in the deceased group(P<0.05).Logistic regression analysis revealed that hematoma size,NIHSS score,and elevated CSF levels of IL-6,IL-10,MMP-9,IL-17A,and LDH were independent risk factors for mortality in sICH patients(P<0.05).ROC curve analysis showed that the AUC values for CSF IL-6,IL-10,MMP-9,IL-17A,and LDH in predicting sICH prognosis were 0.794,0.754,0.670,0.717,and 0.683,respectively.Notably,the combination of CSF inflammatory markers with hematoma size and NIHSS score yielded an AUC of 0.993,demonstrating significantly greater predictive accuracy than CSF inflammatory markers alone(P<0.05).Conclusions The levels of inflammatory factors in the CSF,including IL-6,IL-10,MMP-9,IL-17A,and LDH,were elevated in patients with sICH and positively correlated with disease severity.Combining CSF inflammatory markers with the NIHSS score and hematoma size improved the predictive accuracy for sICH prognosis.

Chondroitin sulfate sodium is a sulphated glycosaminoglycan composed of repeating disaccharide units of D-glucuronic acid and N-acetyl-D-galactosamine,prepared from the cartilage tissue of land or marine animal by a specific extraction and purification process.Chondroitin sulfate sodium is considered to have anti-osteoarthritis effect and many other potential physiological activities.It has broad application prospects and development space in the fields of health food,cosmetics,and drugs.This paper reviews the preparation process of chondroitin sulfate sodium,development and problems of microbial synthesis technology and the research status of anti-osteoarthritis activity based on cells models,animal models and clinical randomized controlled trials(RCT).The limitations of current research are analyzed and corresponding strategies are proposed to provide reference for further standardization and development of chondroitin sulfate sodium.