ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） and GC-triple quadrupole MS（GC-QqQ-MS） in combination with non-targeted and targeted metabolomics were employed to systematically analyze the chemical composition differences of Xihuangwan prepared with natural musk and artificial musk， and establish an identification system for them. MethodsThe volatile components of 9 batches of Xihuangwan samples from 8 manufacturers were analyzed by HS-SPME-GC-MS non-targeted metabolomics， and identified by comparing their MS data with the National Institute of Standards and Technology（NIST） spectral library. Orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to identify differential volatile components of Xihuangwan prepared with natural musk and artificial musk. Additionally， GC-QqQ-MS targeted metabolomics was applied to quantify the levels of α-pinene， β-elemene， muscone， dehydroepiandrosterone， bornyl acetate， and octyl acetate in 27 batches of samples from 9 manufacturers. Cluster analysis， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA） were conducted to further explore the differences in volatile components between Xihuangwan samples prepared with natural musk and artificial musk. ResultsNon-targeted metabolomics identified 291 volatile compounds in Xihuangwan， including alkanes， esters， alkanes， alcohols， ketones， naphthalenes and others. OPLS-DA analysis revealed distinct separation between Xihuangwan samples containing artificial musk（A1， C1， D1， E1， F1， G1， I1） and those containing natural musk（H1， H3）. A total of 30 differential metabolites were identified. The relative contents of these 30 differential metabolites were visualized using a radar chart， revealing significant differences in the levels of octanol， borneol acetate and muscone. Cluster analysis and PCA results from targeted metabolomics indicated that Xihuangwan could be classified into two distinct groups：one composed of natural musk（H1， H3） and the other of artificial musk， sample H2. PLS-DA identified muscone， octyl acetate， and dehydroepiandrosterone as key differential volatile components. Although no significant difference was observed in the content of octyl acetate between the two groups， statistically significant differences were found for muscone and dehydroepiandrosterone（P<0.05）. ConclusionMuscone and dehydroepiandrosterone can be used for the differentiation of Xihuangwan samples containing natural musk from those containing artificial musk. This study systematically and comprehensively analyzed the differences in the types and contents of major volatile components in Xihuangwan prepared with natural musk and artificial musk， providing a scientific basis for quality evaluation and control of Xihuangwan.

ObjectiveTo screen suitable packaging and storage conditions for small packaged Alismatis Rhizoma decoction pieces， laying the foundation for developing standardized storage， maintenance techniques and determining shelf life. MethodsUsing the accelerated stability test method， the small packaged decoction pieces of Alismatis Rhizoma were placed in polyethylene plastic bags， aluminum foil polyethylene composite bags， and cowhide coated paper bags under temperature of （40±2） ℃ and relative humidity of （75±5）% conditions， the quality testing was conducted at the end of the 0^th， 1^st， 2^nd， 3^rd， and 6^th month， respectively. Using long-term stability test method， an orthogonal experiment was designed to investigate storage conditions， packaging materials， and packaging methods. At the end of the 0^th， 1^st， 3^rd， 6^th， 9^th， 12^th， 18^th， and 24^th month， the quality of small packaged Alismatis Rhizoma decoction pieces was tested under different packaging and storage conditions（including 2 packaging methods：vacuum packaging and sealed packaging， 3 storage conditions：room temperature， cool， and modified atmosphere， 3 packaging materials：cowhide coated paper bag， aluminum foil polyethylene composite bag， and polyethylene plastic bag）. Then， the G1-entropy weight method combined with orthogonal experiment was used to analyze the quality changes of the decoction pieces under different packaging and storage conditions to identify optimal packaging and storage conditions. The quality testing indicators for Alismatis Rhizoma decoction pieces were expanded beyond those specified in the 2020 edition of the Pharmacopoeia of the People's Republic of China. In addition to the existing indicators（characteristics， moisture content， extractives， and the total content of 23-acetyl alisol B and 23-acetyl alisol C）， new indicators including color value， water activity， total triterpenoid content， and alisol B content have been added. ResultsThe accelerated stability test results indicated that the quality of small packaged Alismatis Rhizoma decoction pieces was more stable when packaged in aluminum foil-polyethylene composite materials compared to cowhide-coated paper bags and polyethylene plastic bags. Analysis of the long-term stability test results using the G1-entropy weight method combined with orthogonal experiment revealed that storage conditions had the greatest impact on both raw and salt-processed products， followed by packaging materials， while the packaging method had the least influence. For both types of small packaged Alismatis Rhizoma decoction pieces， modified atmosphere storage demonstrated superior efficacy compared to cool storage or room temperature storage. Storage in aluminum foil-polyethylene composite bags was superior to polyethylene plastic bags or cowhide-coated paper bags. However， the stability of sealed raw products was better than vacuum-packed ones， whereas vacuum-packed salt-processed products exhibited greater stability than their sealed counterparts. ConclusionBased on the results of the quality changes of small packaged Alismatis Rhizoma decoction pieces under different storage conditions， it is recommended that the suitable storage packaging conditions for small packaged raw products are sealed packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage， and the suitable storage and packaging conditions for small packaged salt-processed products are vacuum packaging with aluminum foil polyethylene composite bags and controlled atmosphere storage.

Purpose: The aim of this study is to determine the impact of solute carrier family 3 member 2 (SLC3A2) on the malignant phenotype of gliomas and its role in regulating ferroptosis sensitivity. Materials and Methods: The malignant phenotype of glioma was assessed by cell proliferation assay, colony formation assay, EdU assay, wound healing, and Transwell experiments. We further validated the impact of reduced SLC3A2 expression on the sensitivity to ferroptosis in glioma cells through Cell Counting Kit-8 assays, flow cytometry, western blotting, and transmission electron microscopy. Western blot was used to explore how SLC3A2 affects glioma sensitivity to ferroptosis through the AKT/NF-E2-related factor 2 (NRF2)/glutathione peroxidase 4 (GPX4) axis. By establishing a subcutaneous xenograft tumor model in BALB/c-nude mice, we investigated the growth of tumors following the knockout of SLC3A2 in glioma cells. Results: Downregulation of SLC3A2 suppressed the malignant phenotype of glioma by blocking the cell cycle and epithelial-mesenchymal transition processes. On the other hand, loss of SLC3A2 not only downregulated SLC7A11 but also prevented the activation of the AKT/NRF2/GPX4 axis. These lead to increased accumulation of reactive oxygen species and lipid peroxides, ultimately enhancing the susceptibility of glioma to ferroptosis. Conclusion Our findings suggest that SLC3A2 is an oncogene in gliomas, promoting their occurrence and development. It plays a critical role in ferroptosis resistance through the AKT/NRF2/GPX4 axis.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Background: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM). Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017–2022) and Shaoguan (2019–2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability. Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women. Conclusion Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

Prescribing cascade is a common inappropriate drug use, which will produce and amplify the risk of polypharmacy, causing unrecognized adverse drug reactions or drug-induced diseases, but it is often ignored by clinicians and pharmacists. Prescribing cascade can not only cause harm to patients, but also lead to waste of medical resources and increases the medical burden. This paper reviews the related research progress of the prevention, identification and management of the prescribing cascade, and puts forward suggestions on the identification, termination and research methods of the prescribing cascade. Chinese medical staff should improve their understanding of prescribing cascade, strengthen relevant research, understand the current situation and characteristics of prescribing cascade in China, formulate a list of prescription cascade and study relevant management strategies.

With the rapid development of competitive sports, the incidence of anterior cruciate ligament (ACL) injury is on the rise. Such injuries may shorten athletes′ career and lead to other long-term adverse consequences. Although athletes generally recover well after ACL reconstruction, many still struggle to return to their pre-injury performance levels. Advances in the understanding of ACL anatomy and injury mechanisms, along with the evolution of surgical techniques and rehabilitation methods, have provided more individualized and tailored options for athletes following ACL injuries. However, there is currently no consensus in China regarding surgical and rehabilitation strategies for competitive athletes aiming to return to sports after ACL injuries. To this end, the Sports Medicine Committee of the Chinese Research Hospital Association and the Editorial Board of the Chinese Journal of Trauma jointly formulated the Expert consensus on surgical treatment and rehabilitation for competitive sports athletes returning to sports after anterior cruciate ligament injury ( version 2025), and presented 14 recommendations covering surgical indications, preoperative rehabilitation, surgical timing, surgical strategies and postoperative rehabilitation strategies, aiming to improve the surgical treatment and rehabilitation system for ACL injuries in competitive athletes and facilitate their return to high-level sports performance after injury.

Objective·To comprehensively evaluate the efficiency of different kits and methods for DNA and RNA extraction from blood samples.Methods·A total of 145 blood samples were collected,including those from patients with Alzheimer's disease(20 cases),fibrosis(5 cases),colorectal cancer(108 cases),and healthy individuals(12 cases).A column-based kit(Kit A)and a nucleic acid extraction instrument were used to extract genomic DNA(gDNA)from leukocytes in the blood.Cell-free DNA(cfDNA)and cell-free RNA(cfRNA)in plasma were extracted using five different kits(Kit B?F),which employed either column-based(Kit B,E)or magnetic bead-based methods(Kit C,D,F).The extraction process of Kit B was optimized by increasing the plasma sample volume and extending the elution incubation time.Furthermore,this protocol was applied to extracting cfDNA from plasma samples of 100 colorectal cancer patients.Quantitative real-time PCR(qPCR)was used to quantify the extracted DNA and RNA,and the molecular yields were compared to evaluate the extraction efficiency.A comprehensive assessment was conducted,considering factors such as cost and operation time.Results·In gDNA extraction,although the the operation time was shortened by using the nucleic acid extraction instrument,the median number of DNA molecules extracted using Kit A(column-based method)was 25.36-fold higher than that obtained with the instrument(P<0.05).For cfDNA extraction,while the overall efficiency of the three kits(Kit B?D)was similar,Kit B(column-based method)showed superior performance in low-concentration samples,with average DNA yields 4.24-fold and 1.18-fold higher than those of Kit D and Kit C(both magnetic bead-based).Optimization of Kit B's extraction protocol further improved cfDNA yield.When comparing three samples,the cfDNA yields from larger plasma input volumes was 3.98-fold,2.38-fold,and 3.82-fold higher than those from smaller input volumes,respectively.The results of cfDNA extraction from 100 colorectal cancer patients indicated that this extraction protocol reliably extracted sufficient amounts of cfDNA from clinical samples.For cfRNA extraction,Kit E(column-based method)was widely recommended due to its high efficiency,convenience,and cost-effectiveness.The median RNA content extracted using Kit E was 5.01-fold higher than that of Kit F(magnetic bead-based method).Lastly,a comparison of the copy numbers of cfDNA and cfRNA in plasma revealed that the average copy number of cfRNA per milliliter of plasma was 27.65-fold higher than that of cfDNA.Conclusion·Kit A,Kit B,and Kit E show outstanding performance in leukocyte gDNA extraction,plasma cfDNA extraction,and plasma cfRNA extraction,respectively.However,although Kit E has advantages in extraction efficiency and cost,its safety requires further evaluation.

Objective·To comprehensively evaluate the efficiency of different kits and methods for DNA and RNA extraction from blood samples.Methods·A total of 145 blood samples were collected,including those from patients with Alzheimer's disease(20 cases),fibrosis(5 cases),colorectal cancer(108 cases),and healthy individuals(12 cases).A column-based kit(Kit A)and a nucleic acid extraction instrument were used to extract genomic DNA(gDNA)from leukocytes in the blood.Cell-free DNA(cfDNA)and cell-free RNA(cfRNA)in plasma were extracted using five different kits(Kit B?F),which employed either column-based(Kit B,E)or magnetic bead-based methods(Kit C,D,F).The extraction process of Kit B was optimized by increasing the plasma sample volume and extending the elution incubation time.Furthermore,this protocol was applied to extracting cfDNA from plasma samples of 100 colorectal cancer patients.Quantitative real-time PCR(qPCR)was used to quantify the extracted DNA and RNA,and the molecular yields were compared to evaluate the extraction efficiency.A comprehensive assessment was conducted,considering factors such as cost and operation time.Results·In gDNA extraction,although the the operation time was shortened by using the nucleic acid extraction instrument,the median number of DNA molecules extracted using Kit A(column-based method)was 25.36-fold higher than that obtained with the instrument(P<0.05).For cfDNA extraction,while the overall efficiency of the three kits(Kit B?D)was similar,Kit B(column-based method)showed superior performance in low-concentration samples,with average DNA yields 4.24-fold and 1.18-fold higher than those of Kit D and Kit C(both magnetic bead-based).Optimization of Kit B's extraction protocol further improved cfDNA yield.When comparing three samples,the cfDNA yields from larger plasma input volumes was 3.98-fold,2.38-fold,and 3.82-fold higher than those from smaller input volumes,respectively.The results of cfDNA extraction from 100 colorectal cancer patients indicated that this extraction protocol reliably extracted sufficient amounts of cfDNA from clinical samples.For cfRNA extraction,Kit E(column-based method)was widely recommended due to its high efficiency,convenience,and cost-effectiveness.The median RNA content extracted using Kit E was 5.01-fold higher than that of Kit F(magnetic bead-based method).Lastly,a comparison of the copy numbers of cfDNA and cfRNA in plasma revealed that the average copy number of cfRNA per milliliter of plasma was 27.65-fold higher than that of cfDNA.Conclusion·Kit A,Kit B,and Kit E show outstanding performance in leukocyte gDNA extraction,plasma cfDNA extraction,and plasma cfRNA extraction,respectively.However,although Kit E has advantages in extraction efficiency and cost,its safety requires further evaluation.