Methods: Cervical radiographs were analyzed. EOP hyperplasia was classified into three subtypes with standardized length measurements. Variables encompassed demographics, ONL-related indices, and sagittal parameters. Subtype comparisons and multivariate regression analyses (with EOP length as dependent variable) were conducted. Results: Analysis of 187 CSM patients (64.2% male) identified gender-specific patterns: males exhibited greater EOP length (9.4±6.8 mm vs. 4.6±3.4 mm, p<0.001). Type III EOP demonstrated male predominance (82.4% vs. type I 31.8%, type II 51.4%; p<0.001), with associated longer hyperplasia length (11.6±6.6 mm vs. type II 5.1±1.9 mm, p<0.001). Type III EOP was associated with higher ONL prevalence (type III 64.8% vs. type I 45.5%, type II 41.9%; p=0.010) and longer ONL osteophyte length (type III 18.8±9.8 mm vs. type I 14.2±8.1 mm, type II 14.2±9.4 mm; p=0.046). Multivariate regression confirmed male sex (β=–3.82, p=0.009), ONL osteophyte length (β=0.16, p=0.017), T1 slope (β=0.27, p=0.041), and spino-cranial angle (β=–0.19, p=0.009) as factors independently associated with EOP length (adjusted R²=0.382). Conclusions Severe EOP hyperplasia exhibits a male-predominant distribution pattern and demonstrates significant radiological associations with ONL and cervical sagittal imbalance in CSM patients. These findings advocate for EOP evaluation in clinical evaluations to identify high-risk biomechanical profiles.

Objective To investigate the diagnosis and treatment of 2 cases with spontaneous renal vascular rupture, and discuss the possible causes and treatment methods of this disease. Methods The clinical data and treatment methods of the 2 patients with spontaneous renal vascular rupture treated with renal artery embolization in Universal Global Xi'an Beihuan Hospital were analyzed. Relevant literature was reviewed to summarize the possible causes of this condition. Results The patients had no obvious history of trauma and no obvious abnormal coagulation function, and sought treatment due to sudden lumbar and abdominal pain. Laboratory tests revealed significantly decreased hemoglobin level, and elevated blood glucose (27.8, 27.6mmol/L). Abdominal computed tomography (CT) indicated perirenal hematoma and active bleeding. The bleeding arteries were located at the terminal branches of the anterior renal artery. Precise embolization was performed using CT angiography and selective renal artery angiography plus embolization, achieving an immediate hemostasis success rate of 100%. Postoperative hemoglobin level stabilized, and follow-up CT scans showed significant absorption of the perirenal hematoma without significant deterioration of renal function. Based on literature review and case analysis, the possible cause of spontaneous renal vascular rupture in these two patients was renal vascular sclerosis due to long-term diabetes. Other common etiologies of this condition included renal tumor, vascular malformation, and hypertension. Conclusion Spontaneous renal vascular rupture is rare. Renal artery embolization, as aminimally invasive treatment, can effectively control bleeding and protect renal function. The specific pathogenesis of this condition still requires further investigation. Long-term diabetes mellitus with poor blood glucose control may be associated factors, but more evidence is needed.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.

Depression is a prevalent mental and emotional disor-der that often results in significant emotional disturbances,cog-nitive dysfunction,and memory impairments.It is characterized by a high incidence rate,a substantial disability burden,and limited therapeutic efficacy.Currently,the long-term use of medications for the treatment of depression can result in a range of adverse reactions,highlighting the urgent need to explore no-vel approaches that can effectively alleviate depressive symptoms while minimizing side effects.Curcumin,a natural polyphenolic compound derived from the rhizome of turmeric,demonstrates considerable potential in the prevention and treatment of depres-sion,owing to its diverse array of biological activities.In recent years,numerous studies have investigated the use of curcumin for the treatment of depression.This article aims to provide a comprehensive review of the mechanisms of action underlying curcumin's efficacy in treating depression.Specifically,it focu-ses on its ability to improve neurotransmitter imbalances,restore neural plasticity,alleviate neural damage,mitigate dysfunction of the hypothalamic-pituitary-adrenal(HPA)axis,regulate in-flammatory factors and neuroinflammatory signaling pathways,and inhibit oxidative stress.This review is intended to offer in-sights and methodological references for basic research on curcu-min,as well as for the development of novel therapeutic agents for the treatment of depression.

Objective:To investigate the serum metabonomics of pancreatic cancer and chronic pancreatitis patients and screen the differential metabolites for differentiating pancreatic cancer from chronic pancreatis.Methods:From June 2021 to June 2022, the clinical data of 54 patients diagnosed with pancreatic ductal adenocarcinoma in the Department of Hepatobiliary, Pancreatic and Splenic Surgery of the First Affiliated Hospital of Naval Medical University were collected. A total of 54 patients with chronic pancreatitis who were admitted at the same time were selected as the control group. UHPLC/Q-TOF MS-based metabonomics techniques were applied to analyze the difference in serum metabolites in the two groups with multivariate and univariate statistical method, and the different metabolites were screened and identified in accordance with the molecular weight, metabolites databases and mass spectrometry (MS)/MS information. Two-thirds of the cases were randomly selected from patients with pancreatic cancer and chronic pancreatitis as the modeling population, and the remaining population was used as the validation population. In the modeled population, the receiver operating characteristic curve (ROC) of the screened differential metabolites was plotted and the area under the curve (AUC) was calculated. Differential metabolite variables with AUC ≥75%, a VIP value ≥1.5 were selected into the logistic multivariate regression analysis model, and the regression equation and the regression coefficients of each selected independent variable were obtained by stepwise regression by backward method. The final selected differential metabolites were evaluated by the formula P=1/{1+Exp[-(β0+β1X1+β1X1+…+βiXi)]} to establish a diagnostic model and predict the clinical application value of the model by evaluating it compared to the CA19-9 ROC curve. At the same time, the non-parametric Bootstrap method was used to verify the diagnostic performance of the model in the validation population. Results:There were 18 kinds of different serum metabolits in the final screening and identification in the two groups. The level of hypoxanthine, L-carnitine, acetylcarnitine, C16 sphinganine, linoleic acid, palmitoylcarnitine, linoleyl carnitine, uracil deoxynucleotide, glycocholic chenodeoxycholic acid in serum of pancreatic cancer patients were higher than that in the chronic pancreatitis patients; Uric acid, tryptophan, indoxylsulfuric acid, 1-palmitoyl lysophosphatidic acid, LPA(18∶2/0∶0), LysoPE (18∶1/0∶0), LysoPC (14∶0), LysoPC(15∶0), LysoPC(16∶1) in the serum were lower in patients with pancreatic cancer compared with that in chronic pancreatitis patients, and all the differences were statistically significant (all P value <0.05). In the modeled population, the ROC curve was established according to the peak intensity of 18 differential metabolites, and the metabolic differentiators with AUC of ≥75% and VIP value of ≥1.5 were selected for logistic multivariate analysis, and finally linoleoleic carnitine and LPA (18∶2/0∶0) were included in the logistic regression model. The prediction model of pancreatic cancer with two serum metabolites linoleyl carnitine and LPA (18∶2/0∶0) was established. The AUC value (95% CI) of the prediction model was 0.91 (0.85-0.97), which was higher than that of CA19-9 (0.85, 0.76-0.94), the sensitivity and specificity were 86.4% and 80.6%, respectively, and the sensitivity was higher than that of CA19-9 (77.3%), but the specificity was lower than that of CA19-9 (91.7%). Internal validation showed than the AUC value (95% CI) of the prediction model was 0.91 (0.79-0.94), which was higher than that of CA19-9 ( P<0.05). Conclusions:The serum metabolites linolein carnitine and LPA(18∶2/0∶0) may be potential diagnostic markers to distinguish pancreatic cancer from patients with chronic pancreatitis.

Objective To establish an inductively coupled plasma-mass spectrometry(ICP-MS)method for the analysis of 29 mineral elements in Artemisiae Argyi Folium(AAF),and to develop a model for judging the origin of AAF based on the elemental fingerprint combined with chemometrics.Methods The variance method was used to compare the contents of 29 mineral elements in AAF samples from Qichun of Hubei province,Hebei province and Henan province,respectively.The discriminant models of AAF from different habitats were established by discriminant analysis,PLS-DA and PCA-Logistic regression algorithms.Results The differences of the 22 elements(V,Cr,Ni,As,Se,Rb,Mo,Cd,Sb,Ba,Hg,Pb,K,Li,B,Mg,Al,P,Ca,Fe,Zn,and Ga)in samples from Qichun of Hubei province,Hebei province and Henan province are extremely significant(P＜0.01).The discriminant analysis model showed that eight kinds of element variables(P,Cr,K,Li,Hg,Ba,Mg,and Mo),which have a significant effect on the origin discrimination are gradually introduced into the discriminant model,and the correct rate of back test is 100％.The correct rate of"leave one method"cross-validation is 96.7％.The PLS-DA model showed good prediction ability,and the variable importance projection values of K,P and Mg elements were greater than one,which could be used as the difference marker of AAF from different habitats.The accuracy of the origin discrimination model constructed by PC A-Logistic regression analysis was 100％.The elements with high first principal component loadings were Li,B,Mg,Al,P,K,Ca,V,Cr,Fe,Ni,Zn,As,Rb,Cd,Sb,and Ba.Conclusion This study shows that elemental fingerprint technology combined with chemometric analysis can identify AAF from Qichun of Hubei province,Hebei province,or Henan,providing technical support for the traceability of the origin of Artemisia argyi.

BACKGROUND:It has been confirmed that ferroptosis is closely related to the mechanism of various nervous diseases.However,the pathological mechanisms of ferroptosis and peripheral nerve injury need to be further studied and clarified.OBJECTIVE:To review the role and mechanism of ferroptosis in the treatment of peripheral nerve injury.METHODS:The articles related to ferroptosis and nervous system injuries were searched in CNKI and PubMed databases from database inception to May 2024.The keywords were"ferroptosis,peripheral nerve injury,antioxidant defense system,Schwann cells,macrophage,neuroinflammation,neuropathic pain"in Chinese and English,respectively.Sixty eligible articles were finally included for review.RESULTS AND CONCLUSION:The occurrence of ferroptosis is closely related to abnormal intracellular iron metabolism,reactive oxygen species accumulation and lipid peroxidation.Ferroptosis occurs in both Schwann cells and macrophages after peripheral nerve injury,leading to changes in the microenvironment and further inducing diseases such as neuroinflammation and neuropathic pain.Increasing studies have shown that nerve injury is closely related to ferroptosis,and inhibition of ferroptosis can promote tissue repair and functional recovery after peripheral nerve injury.Therefore,it is of great significance to study the mechanism underlying the occurrence and regulation of ferroptosis after peripheral nerve injury.Current research on the role and regulation of ferroptosis after peripheral nerve injury is still in its infancy,and more in-depth studies are needed to provide more strategies to promote repair after peripheral nerve injury.

Objective:To investigate the serum metabonomics of pancreatic cancer and chronic pancreatitis patients and screen the differential metabolites for differentiating pancreatic cancer from chronic pancreatis.Methods:From June 2021 to June 2022, the clinical data of 54 patients diagnosed with pancreatic ductal adenocarcinoma in the Department of Hepatobiliary, Pancreatic and Splenic Surgery of the First Affiliated Hospital of Naval Medical University were collected. A total of 54 patients with chronic pancreatitis who were admitted at the same time were selected as the control group. UHPLC/Q-TOF MS-based metabonomics techniques were applied to analyze the difference in serum metabolites in the two groups with multivariate and univariate statistical method, and the different metabolites were screened and identified in accordance with the molecular weight, metabolites databases and mass spectrometry (MS)/MS information. Two-thirds of the cases were randomly selected from patients with pancreatic cancer and chronic pancreatitis as the modeling population, and the remaining population was used as the validation population. In the modeled population, the receiver operating characteristic curve (ROC) of the screened differential metabolites was plotted and the area under the curve (AUC) was calculated. Differential metabolite variables with AUC ≥75%, a VIP value ≥1.5 were selected into the logistic multivariate regression analysis model, and the regression equation and the regression coefficients of each selected independent variable were obtained by stepwise regression by backward method. The final selected differential metabolites were evaluated by the formula P=1/{1+Exp[-(β0+β1X1+β1X1+…+βiXi)]} to establish a diagnostic model and predict the clinical application value of the model by evaluating it compared to the CA19-9 ROC curve. At the same time, the non-parametric Bootstrap method was used to verify the diagnostic performance of the model in the validation population. Results:There were 18 kinds of different serum metabolits in the final screening and identification in the two groups. The level of hypoxanthine, L-carnitine, acetylcarnitine, C16 sphinganine, linoleic acid, palmitoylcarnitine, linoleyl carnitine, uracil deoxynucleotide, glycocholic chenodeoxycholic acid in serum of pancreatic cancer patients were higher than that in the chronic pancreatitis patients; Uric acid, tryptophan, indoxylsulfuric acid, 1-palmitoyl lysophosphatidic acid, LPA(18∶2/0∶0), LysoPE (18∶1/0∶0), LysoPC (14∶0), LysoPC(15∶0), LysoPC(16∶1) in the serum were lower in patients with pancreatic cancer compared with that in chronic pancreatitis patients, and all the differences were statistically significant (all P value <0.05). In the modeled population, the ROC curve was established according to the peak intensity of 18 differential metabolites, and the metabolic differentiators with AUC of ≥75% and VIP value of ≥1.5 were selected for logistic multivariate analysis, and finally linoleoleic carnitine and LPA (18∶2/0∶0) were included in the logistic regression model. The prediction model of pancreatic cancer with two serum metabolites linoleyl carnitine and LPA (18∶2/0∶0) was established. The AUC value (95% CI) of the prediction model was 0.91 (0.85-0.97), which was higher than that of CA19-9 (0.85, 0.76-0.94), the sensitivity and specificity were 86.4% and 80.6%, respectively, and the sensitivity was higher than that of CA19-9 (77.3%), but the specificity was lower than that of CA19-9 (91.7%). Internal validation showed than the AUC value (95% CI) of the prediction model was 0.91 (0.79-0.94), which was higher than that of CA19-9 ( P<0.05). Conclusions:The serum metabolites linolein carnitine and LPA(18∶2/0∶0) may be potential diagnostic markers to distinguish pancreatic cancer from patients with chronic pancreatitis.

Background::An evidence gap still exists regarding the efficacy and safety of tegoprazan in patients with erosive esophagitis (EE) in China. This study aimed to verify the efficacy and safety of tegoprazan vs. esomeprazole in patients with EE in China. Methods::This study was a multicenter, randomized, double-blind, parallel, active-controlled, non-inferiority phase III trial of patients with EE randomized 1:1 to tegoprazan 50 mg/day vs. esomeprazole 40 mg/day. This study was conducted in 32 sites between October 24, 2018 and October 18, 2019. The primary endpoint was the cumulative endoscopic healing rate at week 8. The secondary endpoint included endoscopic healing rate at week 4, changes in the reflux disease questionnaire (RDQ) and gastroesophageal reflux disease health-related quality of life (GERD-HRQL) scores, and symptom improvement. Results::A total of 261 patients were randomized: 132 to the tegoprazan group and 129 to the esomeprazole group. The cumulative endoscopic healing rate at 8 weeks in the tegoprazan group was non-inferior to that of the esomeprazole group (91.1% vs. 92.8%, difference: -1.7%, 95% confidence interval [CI]: -8.5%, 5.0%, P = 0.008). There were no statistically significant differences in the changes in RDQ (total, severity, and frequency) and GERD-HRQL scores between the two groups (all P >0.05). The percentages of days without symptoms, including daytime and nighttime symptoms based on patients' diaries, were similar between the two groups (all P >0.05). In the tegoprazan and esomeprazole groups, 71.5% (93/130) and 61.7% (79/128) of the participants reported adverse events (AEs), 2.3% and 0 experienced serious AEs, while 70.0% and 60.2% had treatment-emergent AEs, respectively. Conclusion::Tegoprazan 50 mg/day demonstrated non-inferior efficacy in healing EE, symptom improvement, and quality of life, and it has similar tolerability compared with esomeprazole 40 mg/day.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.