Background Lead smelting workers are exposed to mixed heavy metals such as lead (Pb) and cadmium (Cd). However, the specific associations and molecular mechanisms by which their combined exposure induces genetic damage remain unclear. Objective To clarify the association between combined Pb-Cd exposure and genetic damage and to explore the possible biological mechanisms through occupational epidemiological investigations and animal experiments. Methods (1) Population study: A cross-sectional study was conducted on 374 lead smelting workers in northern China. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect urinary levels of 8 metals including Pb and Cd, and graphite furnace atomic absorption spectroscopy (GFAAS) was used to quantify blood levels of Pb and Cd. The cytokinesis-block micronucleus assay (CBMN) was used to assess genetic damage. Poisson regression was used to analyze the association between metal exposure and micronucleus rates. (2) In vivo experiment: Thirty SD rats were randomly assigned to five groups: control (pure water), Pb (300 mg·L⁻¹ lead acetate), Cd (50 mg·L⁻¹ cadmium chloride), combined exposure (Pb + Cd), and resveratrol intervention (Pb + Cd + 50 mg·L⁻¹ resveratrol). After 8 weeks of ad libitum drinking water exposure, liver pathology, oxidative stress indicators [reactive oxygen species (ROS), reduced glutathione (GSH), oxidized glutathione (GSSG), malondialdehyde (MDA), catalase (CAT), and superoxide dismutase (SOD)], genetic damage (Comet assay and γ-H2AX) were evaluated. Furthermore, cell cycle distribution, apoptosis rates, and mRNA expression of DNA damage response (DDR), DNA repair, and apoptosis-related genes were measured. Results (1) The geometric mean (GM, 95%CI) of urinary Pb and Cd were 14.69 (13.14, 16.51) µg·L⁻¹ and 2.11 (1.90, 2.33) µg·L⁻¹, respectively; the blood Pb and Cd levels were 117.10 (105.59, 129.87) µg·L⁻¹ and 4.55 (4.23, 4.89) µg·L⁻¹, respectively among the 374 workers. The mean micronucleus rate was (1.64±0.081) ‰, with significantly higher rates in males (1.65±0.083) ‰ than females (1.53±0.334) ‰ (U=4.166, P=0.041). All Pb and Cd biomarkers were positively correlated with micronucleus rate (FR>1, P<0.05), with a significant interaction effect observed between Pb and Cd (FR>1, P<0.05). (2) In rats, co-exposure to Pb and Cd caused liver tissue damage and inflammatory infiltration. Significant increases were observed in lymphocyte ROS; GSSG and MDA in lung tissue increased, while GSH and CAT activity decreased. Comet assay indicators and γ-H2AX levels were significantly elevated. Co-exposure induced S-phase arrest and increased apoptosis. mRNA levels of DDR (ATM, ATR, Chk2, and P53) and pro-apoptotic genes (Bax and Caspase-3) were upregulated, while the anti-apoptotic gene Bcl-2 and DNA repair genes (BRCA1, BRCA2, RAD51, RAD52, and CtIP) were downregulated. Two-way ANOVA confirmed synergistic effects on GSSG, Comet assay indicators, and ATR/Chk2 mRNA expression. Conclusion Occupational co-exposure to Pb and Cd synergistically induces genetic damage. This damage is mediated by oxidative stress and DNA damage, which activates the DDR pathway and inhibits the expression of DNA repair genes, ultimately leading to cell cycle arrest and apoptosis.

Curcuma zedoaria (commonly known as "E Zhu" in traditional Chinese medicine) is a perennial herb, and its rhizome is used for medical purpose. It is clinically effective for treating various symptoms caused by blood stasis. For oral administration, E Zhu is often combinded with other traditional Chinese medicines to prepare various formulations such as decoctions, pills, and tablets. This allows its medicinal properties to reach the internal organs and meridians, promotes the flow of qi and blood, and dissipates stasis and stagnation. E Zhu is mainly distributed in Guangxi, Sichuan, Zhejiang, Yunnan, and other regions in China. However, cadmium (Cd) contamination has emerged in multiple areas due to the development of battery, smelting, electroplating, and chemical industries. Additionally, the intrinsic Cd-accumulation property of E Zhu coupled with the Cd pollution has rendered a prominent issue during its cultivation and medicinal application, thereby comprimising the safety and efficacy of its clinical use. This paper comprehensively reviewed the absorption and accumulation patterns of Cd in E Zhu and proposed a comprehensive chain of control measures from cultivation to processing and purification, aiming to reduce Cd in E Zhu. These measures are expected to lower the potential risk of low-dose Cd accumulation in the human body and further ensure the safe clinical application of E Zhu as a raw material in traditional Chinese medicine.

Background Lead smelting workers are exposed to mixed heavy metals such as lead (Pb) and cadmium (Cd). However, the specific associations and molecular mechanisms by which their combined exposure induces genetic damage remain unclear. Objective To clarify the association between combined Pb-Cd exposure and genetic damage and to explore the possible biological mechanisms through occupational epidemiological investigations and animal experiments. Methods (1) Population study: A cross-sectional study was conducted on 374 lead smelting workers in northern China. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect urinary levels of 8 metals including Pb and Cd, and graphite furnace atomic absorption spectroscopy (GFAAS) was used to quantify blood levels of Pb and Cd. The cytokinesis-block micronucleus assay (CBMN) was used to assess genetic damage. Poisson regression was used to analyze the association between metal exposure and micronucleus rates. (2) In vivo experiment: Thirty SD rats were randomly assigned to five groups: control (pure water), Pb (300 mg·L⁻¹ lead acetate), Cd (50 mg·L⁻¹ cadmium chloride), combined exposure (Pb + Cd), and resveratrol intervention (Pb + Cd + 50 mg·L⁻¹ resveratrol). After 8 weeks of ad libitum drinking water exposure, liver pathology, oxidative stress indicators [reactive oxygen species (ROS), reduced glutathione (GSH), oxidized glutathione (GSSG), malondialdehyde (MDA), catalase (CAT), and superoxide dismutase (SOD)], genetic damage (Comet assay and γ-H2AX) were evaluated. Furthermore, cell cycle distribution, apoptosis rates, and mRNA expression of DNA damage response (DDR), DNA repair, and apoptosis-related genes were measured. Results (1) The geometric mean (GM, 95%CI) of urinary Pb and Cd were 14.69 (13.14, 16.51) µg·L⁻¹ and 2.11 (1.90, 2.33) µg·L⁻¹, respectively; the blood Pb and Cd levels were 117.10 (105.59, 129.87) µg·L⁻¹ and 4.55 (4.23, 4.89) µg·L⁻¹, respectively among the 374 workers. The mean micronucleus rate was (1.64±0.081) ‰, with significantly higher rates in males (1.65±0.083) ‰ than females (1.53±0.334) ‰ (U=4.166, P=0.041). All Pb and Cd biomarkers were positively correlated with micronucleus rate (FR>1, P<0.05), with a significant interaction effect observed between Pb and Cd (FR>1, P<0.05). (2) In rats, co-exposure to Pb and Cd caused liver tissue damage and inflammatory infiltration. Significant increases were observed in lymphocyte ROS; GSSG and MDA in lung tissue increased, while GSH and CAT activity decreased. Comet assay indicators and γ-H2AX levels were significantly elevated. Co-exposure induced S-phase arrest and increased apoptosis. mRNA levels of DDR (ATM, ATR, Chk2, and P53) and pro-apoptotic genes (Bax and Caspase-3) were upregulated, while the anti-apoptotic gene Bcl-2 and DNA repair genes (BRCA1, BRCA2, RAD51, RAD52, and CtIP) were downregulated. Two-way ANOVA confirmed synergistic effects on GSSG, Comet assay indicators, and ATR/Chk2 mRNA expression. Conclusion Occupational co-exposure to Pb and Cd synergistically induces genetic damage. This damage is mediated by oxidative stress and DNA damage, which activates the DDR pathway and inhibits the expression of DNA repair genes, ultimately leading to cell cycle arrest and apoptosis.

Blood turbidity and collateral disease are closely related to each other as the important component parts of the theoretical system of modern traditional Chinese medicine (TCM). The former focuses on blood and the latter on blood vessels and collaterals. By integrating these two theories, a theoretical basis for TCM syndrome differentiation and treatment of modern diseases can be provided. This article summarizes the correlation of origin, concept, treatment method and representative drugs of two theories, and points out that both blood turbidity and collateral disease prospers and develops through the integration of TCM classical theory and modern medical achievements. Theoretically, blood turbidity is the cause of collateral disease, and collateral disease is the result of aggravated blood turbidity. In many metabolic diseases, blood turbidity and collateral disease actually correspond to the main features of the early and late stages of the same disease, respectively. In treatment, clearing blood turbidity is consistent with dredging collaterals. When clearing blood turbidity, it is necessary to dredge the collaterals, and when dredging the collaterals, it is necessary to clear the blood turbidity. In terms of prescription and medication, Huazhuo Xingxue Decoction is the representative prescription of blood turbidity, which can be combined with Ramulus Cinnamomi, Sichuan lovage rhizome, earthworm, and other dredging collateral drugs. The representative prescription for collateral disease is Tongxinluo Capsule, which can be combined with lotus leaf, Fructus Crataegi, cassia seed, and other turbid-clearing drugs to enhance the curative effect.

Preeclampsia(PE)is a severe pregnancy complication that poses significant risks to maternal and fetal health,and its pathogenesis remains unclear.Recent studies have shown that lactate dehydrogenase(LDH),a key enzyme in glycolysis,plays a piv-otal role in the development and progression of PE.This article reviews the abnormal changes in the levels of LDH and its isozymes in serum and placental tissue and their impact on the pathogenesis of PE and analyzes the molecular mechanisms by which LDH subunits contribute to placental dysfunction through multiple pathways including hypoxia,inflammation,autophagy dysregulation,and cellular damage.In addition,this article discusses the role of lactate,a metabolic product of LDH activity,in the pathogenesis of PE.LDH can be used as a potential biomarker for PE,and the regulation of non-metabolic functions and metabolic reprogramming mediated by LDH provide new targets for the prevention and treatment of PE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.

Objective: To explore glymphatic impairment in pediatric refractory epilepsy (RE) using multi-parameter magnetic resonance imaging (MRI), assess its relationship with white-matter (WM) abnormalities and clinical indicators, and preliminarily evaluate the performance of multi-parameter MRI in discriminating RE from drug-sensitive epilepsy (DSE). Materials and Methods: We retrospectively included 70 patients with DSE (mean age, 9.7 ± 3.5 years; male:female, 37:33) and 26 patients with RE (9.0 ± 2.9 years; male:female, 12:14). The diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) index as well as fractional anisotropy (FA), mean diffusivity (MD), and nodal efficiency values were measured and compared between patients with RE and DSE. With sex and age as covariables, differences in the FA and MD values were analyzed using tract-based spatial statistics, and nodal efficiency was analyzed using a linear model. Pearson’s partial correlation was analyzed. Receiver operating characteristic (ROC) curves were used to evaluate the discrimination performance of the MRI-based machine-learning models through five-fold cross-validation. Results: In the RE group, FA decreased and MD increased in comparison with the corresponding values in the DSE group, and these differences mainly involved the callosum, right and left corona radiata, inferior and superior longitudinal fasciculus, and posterior thalamic radiation (threshold-free cluster enhancement, P < 0.05). The RE group also showed reduced nodal efficiency, which mainly involved the limbic system, default mode network, and visual network (false discovery rate, P < 0.05), and significantly lower DTI-ALPS index (F = 2.0, P = 0.049). The DTI-ALPS index was positively correlated with FA (0.25 ≤ r ≤ 0.32) and nodal efficiency (0.22 ≤ r ≤ 0.37), and was negatively correlated with the MD (-0.24 ≤ r≤ -0.34) and seizure frequency (r = -0.47). A machine-learning model combining DTI-ALPS, FA, MD, and nodal efficiency achieved a cross-validated ROC curve area of 0.83 (sensitivity, 78.2%; specificity, 84.8%). Conclusion Pediatric patients with RE showed impaired glymphatic function in comparison with patients with DSE, which was correlated with WM abnormalities and seizure frequency. Multi-parameter MRI may be feasible for distinguishing RE from DSE.