1.Association between pyrethroid insecticide exposure and pulmonary function among school-aged children
Lihua QIAN ; Yi HU ; Peipei HU ; Guodong DING
Journal of Environmental and Occupational Medicine 2025;42(3):342-348
Background Prior epidemiological studies suggest that exposure to pyrethroid insecticides may adversely affect children’s respiratory health. However, only limited studies are currently available on this topic in China. Objective To explore the association between exposure to pyrethroid insecticides and pulmonary function in children in Shanghai. Methods From August 2019 to January 2020, a cross-sectional study was conducted, recruiting 163 healthy school-aged children (aged 5–12 years) from Shanghai Children’s Hospital, Shanghai Jiao Tong University School of Medicine. Basic information, including age, height, weight, and family income, was collected. Urine samples from the children were collected and were analyzed for the levels of three pyrethroid insecticide metabolites: 3-phenoxybenzoic acid (3-PBA), cis-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid (CDCCA), and trans-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropane carboxylic acid (TDCCA). Gas chromatography-tandem mass spectrometry (GC-MS/MS) was used for the analysis. Spirometry was used to assess pulmonary function and recorded following parameters: peak expiratory flow (PEF), forced expiratory flow between the 25th and 75th percentiles of forced vital capacity (FEF25-75), forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and FEV1/FVC. Multiple linear regression and restricted cubic spline models were used to evaluate the associations between urinary pyrethroid insecticide metabolite levels and pulmonary function parameters. Results The study included 163 school-aged children, with an average age of (7.04 ± 2.08) years and an average body mass index (BMI) of (16.04 ± 2.72) kg·m−2; 75 (46.01%) of the participants were boys. The detection rates of 3-PBA, TDCCA, and CDCCA in urine were 85.28%, 17.79%, and 4.91%, respectively. The median creatinine-adjusted 3-PBA concentration was 0.150 μg·g−1. After adjusting for confounders such as height, BMI, sex, age, delivery mode, annual family income, and maternal education level, the multiple linear regression model showed that urinary 3-PBA levels were negatively associated with both FVC [β=−0.030, 95% confidence interval (CI): −0.058, −0.003; P=0.031] and FEV1 (β=−0.032, 95%CI: −0.064, 0.000; P=
2.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
3.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
4.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
5.Five new triterpenoid saponins from the kernels of Momordica cochinchinensis
Ru DING ; Jia-qi WANG ; Yi-yang LUO ; Yong-long HAN ; Xiao-bo LI ; Meng-yue WANG
Acta Pharmaceutica Sinica 2025;60(2):442-448
Five saponins were isolated from the kernels of
6.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
7.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
8.Shenxiao Tongluo Prescription Alleviates Kidney Injury in Diabetic Rats via PGC-1α/SIRT3/HIF-1α Pathway
Cangcang XU ; Xianbing GUO ; Guang LI ; Wenhao JIAO ; Yang ZHAO ; Yingjun DING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):108-116
ObjectiveTo investigate the mechanisms of mitochondrial dynamics and metabolic reprogramming in the treatment of diabetic nephropathy (DN) by Shenxiao Tongluo prescription via the peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α)/sirtuin-3 (SIRT3)/hypoxia-inducible factor-1α (HIF-1α) signaling pathway. MethodsSixty-five SD rats were randomized into a sham group (10 rats) and a modeling group (55 rats), and the modeling rats underwent left nephrectomy and intraperitoneal injection of streptozotocin (35 mg·kg-1) to prepare a DN model. After successful modeling, the rats were randomized into model, empagliflozin (10 mg·kg-1), and low-, medium-, and high-dose (7.656, 15.312, 30.624 g·kg-1, respectively) Shenxiao Tongluo prescription groups. The urine microalbumin (UmAlb), blood urea nitrogen (BUN), and serum creatinine (SCr) levels of rats in each group were assessed after continuous gavage for 8 weeks. The corresponding kits were used to measure the levels of lactate, superoxide dismutase (SOD), and malondialdehyde (MDA) in the kidney tissue. Hematoxylin-eosin staining, Masson staining, and periodic acid-Schiff staining were performed to observe the pathological changes in the kidney tissue. Transmission electron microscopy was employed to observe mitochondrial morphology. Immunohistochemistry was employed to determine the expression levels of dynamin-related protein 1 (DRP1) and pyruvate kinase M2 (PKM2) in the kidney tissue. Western blot was adopted to assess the protein levels of PGC-1α, SIRT3, HIF-1α, dynamin-related protein 1 (Drp1), optic atrophy 1 (OPA1), hexokinase 2 (HK2), and pyruvate kinase M2 (PKM2) in the kidney tissue. ResultsCompared with the sham group, the model group showed elevated levels of UmAlb, BUN, SCr, lactate, and MDA, decreased SOD level (P<0.05), glomerular hypertrophy, thickening of the mesangial basement membrane, vacuolar degeneration of renal tubular epithelial cells, and infiltration of renal interstitial inflammatory cells, oval mitochondria with disordered, blurred or disappearing cristae, down-regulated protein levels of PGC-1α, SIRT3, and OPA1, and up-regulated protein levels of HIF-1α, DRP1, HK2, and PKM2 (P<0.05). Compared with the model group, the treatment in all the groups increased the body weight, lowered the levels of GLU, UmAlb, BUN, and MDA, raised the level of SOD, alleviated the pathological damage in the kidney tissue and mitochondrial damage, up-regulated the expression of PGC-1α, SIRT3, and OPA1, and down-regulated the expression of HIF-1α, DRP1, and PKM2 (P<0.05). Empagliflozin and Shenxiao Tongluo prescription at medium and high doses lowered the levels of SCr and lactate and down-regulated the expression of HK2 (P<0.05), which had no statistical significance in the low-dose Shenxiao Tongluo prescription group. ConclusionShenxiao Tongluo prescription may regulate mitochondrial dynamics and metabolic reprogramming by activating the PGC-1α/SIRT3/HIF-1α pathway, thereby alleviating oxidative damage in the kidney tissue and delaying the progression of DN.
9.Shenxiao Tongluo Prescription Alleviates Kidney Injury in Diabetic Rats via PGC-1α/SIRT3/HIF-1α Pathway
Cangcang XU ; Xianbing GUO ; Guang LI ; Wenhao JIAO ; Yang ZHAO ; Yingjun DING
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(17):108-116
ObjectiveTo investigate the mechanisms of mitochondrial dynamics and metabolic reprogramming in the treatment of diabetic nephropathy (DN) by Shenxiao Tongluo prescription via the peroxisome proliferator-activated receptor γ coactivator-1α (PGC-1α)/sirtuin-3 (SIRT3)/hypoxia-inducible factor-1α (HIF-1α) signaling pathway. MethodsSixty-five SD rats were randomized into a sham group (10 rats) and a modeling group (55 rats), and the modeling rats underwent left nephrectomy and intraperitoneal injection of streptozotocin (35 mg·kg-1) to prepare a DN model. After successful modeling, the rats were randomized into model, empagliflozin (10 mg·kg-1), and low-, medium-, and high-dose (7.656, 15.312, 30.624 g·kg-1, respectively) Shenxiao Tongluo prescription groups. The urine microalbumin (UmAlb), blood urea nitrogen (BUN), and serum creatinine (SCr) levels of rats in each group were assessed after continuous gavage for 8 weeks. The corresponding kits were used to measure the levels of lactate, superoxide dismutase (SOD), and malondialdehyde (MDA) in the kidney tissue. Hematoxylin-eosin staining, Masson staining, and periodic acid-Schiff staining were performed to observe the pathological changes in the kidney tissue. Transmission electron microscopy was employed to observe mitochondrial morphology. Immunohistochemistry was employed to determine the expression levels of dynamin-related protein 1 (DRP1) and pyruvate kinase M2 (PKM2) in the kidney tissue. Western blot was adopted to assess the protein levels of PGC-1α, SIRT3, HIF-1α, dynamin-related protein 1 (Drp1), optic atrophy 1 (OPA1), hexokinase 2 (HK2), and pyruvate kinase M2 (PKM2) in the kidney tissue. ResultsCompared with the sham group, the model group showed elevated levels of UmAlb, BUN, SCr, lactate, and MDA, decreased SOD level (P<0.05), glomerular hypertrophy, thickening of the mesangial basement membrane, vacuolar degeneration of renal tubular epithelial cells, and infiltration of renal interstitial inflammatory cells, oval mitochondria with disordered, blurred or disappearing cristae, down-regulated protein levels of PGC-1α, SIRT3, and OPA1, and up-regulated protein levels of HIF-1α, DRP1, HK2, and PKM2 (P<0.05). Compared with the model group, the treatment in all the groups increased the body weight, lowered the levels of GLU, UmAlb, BUN, and MDA, raised the level of SOD, alleviated the pathological damage in the kidney tissue and mitochondrial damage, up-regulated the expression of PGC-1α, SIRT3, and OPA1, and down-regulated the expression of HIF-1α, DRP1, and PKM2 (P<0.05). Empagliflozin and Shenxiao Tongluo prescription at medium and high doses lowered the levels of SCr and lactate and down-regulated the expression of HK2 (P<0.05), which had no statistical significance in the low-dose Shenxiao Tongluo prescription group. ConclusionShenxiao Tongluo prescription may regulate mitochondrial dynamics and metabolic reprogramming by activating the PGC-1α/SIRT3/HIF-1α pathway, thereby alleviating oxidative damage in the kidney tissue and delaying the progression of DN.
10.Quantitative analysis of 10 components in Compound Dihuang oral solution by UPLC-MS/MS
Hongxia LIU ; Yanwen SUN ; Fei HAN ; Yan ZHOU ; Huajun SUN ; Liqin DING
Journal of Pharmaceutical Practice and Service 2025;43(8):390-394
Objective To develop an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method to simultaneously determine 10 main components, including berberine, phellodendrine, specnuezhenide, mangiferin, loganin, paeoniflorin, geniposide, baicalin, and acteoside in Compound Dihuang oral solution. Methods An UPLC-MS/MS method was established with an ACQUITY UPLC BEH-C18 (2.1 mm×100 mm, 1.7 μm)column and mobile phase of 0.1% formic water(A)-methanol solution(B) in a gradient elution manner. The flow rate of mobile phase was 0.2 ml/min.The temperature of column was 30℃. The injection volume was 2 μl. The MS detection was in MRM mode. Results 10 components in Compound Dihuang oral solution had a good linear relationship within their concentration range,and the precision, repeatability, stability and recovery met the requirements. The contents of berberine, phellodendrine, specnuezhenide, mangiferin, loganin, paeoniflorin, geniposide, baicalin, and acteoside in 7 batches of samples were (89.7-95.6) μg/ml, (164.0-177.7) μg/ml, (540.0-610.0) μg/ml, (408.7-429.0) μg/ml, (726.0-825.0) μg/ml, (503.7-572.0) μg/ml, (

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