Post-traumatic stress disorder (PTSD) is a relatively common but complex mental illness with a range of diverse risk factors. Typical symptoms include the re-experience or avoidance of traumatic events, cognitive impairment, and hypervigilance. While the exact pathogenesis of PTSD is unclear, many studies indicate that epigenetic regulation plays a key role in its development. Specifically, numerous studies have indicated that the levels of histone acetylation and methylation, DNA methylation, and noncoding RNA are altered in PTSD patients. Further to this, natural products have been found to achieve epigenetic regulation of PTSD by regulating the expression of epigenetic enzymes, long noncoding RNA (lncRNA), and miRNA, thereby playing a role in improving PTSD symptoms. To date, however, no epigenetic regulation related drugs have been used in the treatment of PTSD. Furthermore, while natural products that can epigenetically regulate PTSD have received increasing levels of attention, there have not yet been any systematic reports on the topic. Here, we summarized the roles and mechanisms of natural products in the epigenetic regulation of PTSD, providing a novel and unique perspective that will help to guide the development and application of new PTSD treatments.

Circulating tumor DNA (ctDNA) is cell-free DNA released by tumors or circulating tumor cells, containing abundant tumor-specific information that can serve as biomarkers for cancer early screening, monitoring, prognosis, and prediction of treatment response. This is particularly attractive in the field of gastric cancer, where high-quality screening, monitoring, and prediction methods are currently lacking. Gastric cancer exhibits significant tumor heterogeneity, with large differences in genetic and epigenetic characteristics among different subgroups. Methylated ctDNA has high sensitivity and specificity, which can help clarify tumor genotyping and facilitate the formulation of precise diagnostic and therapeutic strategies. Furthermore, numerous studies have confirmed the unique advantages of methylated DNA in predicting treatment response, adjuvant therapy, and drug resistance assessment, which may be used in the future to enhance the efficacy of chemotherapy regimens and improve patient chemotherapeutic response, and even treat multidrug resistance. However, there are several challenges associated with methylated ctDNA, such as low sensitivity and specificity at single-target sites, limited association between some gastric cancer subtypes and ctDNA, off-target risks, and the lack of large-scale and high-quality clinical research evidence. This review mainly summarizes current research on the methylation status of ctDNA in gastric cancer and connects these findings to early screening, recurrence monitoring, and potential treatment opportunities for gastric cancer. With advances in technology and the deepening of interdisciplinary research, ctDNA detection will reveal more disease information and become an essential foundation for gastric cancer research and precision medicine treatment.

Objective:To analyze the anatomical characteristics of the adrenal veins through adrenal venography to improve the success rate of adrenal venography (AVS).Methods:This study was a cross-sectional study. Patients who were diagnosed with primary aldosteronism and underwent AVS from January 2019 to October 2023 at the First Affiliated Hospital of Dalian Medical University were included. Adrenal vein imaging was collected from the enrolled patients. We performed statistical analysis on the adrenal vein orifice position, inflow angle, and adrenal venography morphology. The adrenal venous orifice was defined as the location where the catheter was placed at the end of the calm inhalation. Spearman correlation analysis was used to explore the relationship between the positions of bilateral adrenal vein orifices and body mass index (BMI).Results:A total of 282 patients with successful bilateral AVS and complete bilateral adrenal vein imaging were enrolled, of whom 57.1% (161/282) were male and the age was (53.3±10.7) years old. The orifice of the left adrenal vein was located between the middle segment of the 11 th thoracic vertebra and the upper segment of the 2 nd lumbar vertebra. The inflow angle relative to the position of the orifice was all leftward and upward. The orifice of the right adrenal vein was located between the upper segment of the 11 th thoracic vertebra and the lower segment of the 1 st lumbar vertebra, and 91.1% (257/282) had a rightward and downward angle of inflow relative to the position of the orifice. The position of the adrenal vein orifices on both the left ( r=0.211, P<0.001) and right ( r=0.196, P=0.001) showed positive correlation with BMI. The position of the right adrenal vein orifice also increased with the position of the left adrenal orifice ( r=0.530, P<0.001). The most common adrenal venography morphology on the right side was triangular (36.5%, 103/282), while the most common venography morphology on the left side was glandular (66.3%, 187/282). Conclusions:The anatomical morphology of adrenal veins are diverse. Being familiar with the morphological characteristics of the adrenal vein and identifying the adrenal vein accurately during surgery has important clinical value in improving the success rate of AVS.

Objective:To investigate the effect and mechanism of vitamin K2 on vascular calcification in a type 2 diabetes rat model.Methods:Thirty male Wistar rats,6 weeks old,were acclimatized for 7 days.Ten rats were randomly selected as the negative control group,fed a normal diet,and injected with an equal amount of citrate buffer.The remaining rats were fed a high-fat and high-sugar diet for 4 weeks,and then type 2 diabetes was induced by intraperitoneal injection of streptozotocin.After successful induction of the diabetes model,the diabetic rats were numbered by body weight and divided into the diabetes group and the diabetes+vitamin K2 group according to the principle of stratified random grouping.These two groups were fed a high-fat diet and a high-fat diet containing vitamin K2,respectively,while the control group continued to be fed a normal diet.After 13 weeks of feeding,the rats were sacrificed for sample collection,and blood glucose and vascular calcium concentration were measured.Von Kossa staining was used for histopathological detection.The relative expression levels of hypoxia-inducible factor-1α(HIF-1α),pyruvate dehydrogenase kinase 4(PDK4),matrix Gla protein(MGP),and bone morphogenetic protein-2(BMP-2)mRNA and proteins were measured by qRT-PCR and Western blot,respectively.Results:Compared with the control group,blood glucose levels in the diabetes group and diabetes+vitamin K2 group were significantly elevated(P＜0.01),but there was no significant difference between the two groups.There was no significant difference in vascular calcium concentration among the three groups(P＞0.05).Von Kossa staining showed that the control group exhibited normal vascular structures,while the diabetes group showed a large number of brown-black calcification plaques between elastic fibers in the vascular media.The diabetes+vitamin K2 group had either no calcification plaques or only a few brown-black calcification plaques.Compared with the control group,the expression levels of PDK4,MGP,and BMP-2 mRNA and proteins were higher in the diabetes group(P＜0.05),but there was no significant difference in the expression level of HIF-1α.Only the expression level of PKD4 protein had significance between the control group and diabetes+vitamin K2 group(P＜0.05).There was no significant difference in the above indexes between the diabetic group and diabetic+vitamin K2 group(P＞0.05).Conclusions:Type 2 diabetes mellitus may cause vascular calcification by increasing the expression of PDK4,which in turn leads to increased expression of BMP-2 and MGP.Vitamin K2 can inhibit vascular calcification in diabetes.

Objective:To investigate the expression characteristics of mucin 5B (MUC5B) protein and programmed cell death factor 4 (PDCD4) protein in patients with intrahepatic cholangiocarcinoma (ICC), and to construct a nomogram model for prognosis prediction.Methods:Clinical data of 100 patients who underwent radical surgical resection and were diagnosed as ICC by postoperative pathology from September 2009 to September 2020 in the Third Affiliated Hospital of Wenzhou Medical University were retrospectively selected, including 46 males and 54 females, aged (56.9±12.2) years old. Immunohistochemistry was used to detect the expression of MUC5B and PDCD4 protein in 100 cases of ICC and corresponding adjacent tissues respectively, and the relationship between them and clinicopathological factors of ICC patients was analyzed. Univariate and multivariate Cox regression analysis were performed to analyze the influencing factors on postoperative prognosis of ICC patients. The nomogram model was constructed using rms package and performed internal verification.Results:The positive expression rate of MUC5B protein in ICC was 76.0% (76/100), which was higher than that in para-cancer tissues 27.0%(27/100), and the difference was statistically significant ( χ2=11.33, P=0.015). While the positive expression rate of PDCD4 protein in ICC was 21.0%(21/100), which was lower than that in normal tissues 73.0% (73/100), and the difference was statistically significant ( χ2=15.57, P=0.007). Multivariate Cox regression analysis showed that ICC patients with carbohydrate antigen 19-9>37 kU/L, tumor length>5 cm, tumor TNM stage Ⅱ/Ⅲ, tumor medium/low differentiation, MUC5B positive expression, and PDCD4 negative expression had a high risk of short survival after resection (all P<0.05). The nomogram model was constructed based on the above indicators, and the C-index was 0.801. The postoperative survival calibration curve showed that the high predictive survival fit of the nomogram model, and the area under the receiver operating characteristic curve was 0.862. Conclusions:Positive expression of MUC5B protein and negative expression of PDCD4 protein in ICC tissue suggest poor prognosis of ICC patients. The nomogram model constructed on the basis of MUC5B and PDCD4 protein is well distinguished and has ideal predictive efficacy.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.

Nuclear medicine plays an indispensable role in the diagnosis,treatment,and prognosis of a wide range of diseases.Nuclear medicine using radionuclides for diagnosis has the advantages of accuracy,speed,high sensitivity and high resolution.Currently,several radionuclides play pivotal roles in disease diagnosis.This article primarily examines the clinical application and research of diagnostic radionuclides,including 18 F,89 Zr,68 Ga,99m Tc,131 I,123 I,and 11 C.The objective is to offer valuable insights for disease diagnosis and staging of diseases.

Objective To investigate the expression significance and prognostic value of long non-coding RNA tumor susceptibility candidate gene 9(lncRNA CASC9)and YKT6 in oral squamous cell carcinoma(OSCC).Methods A total of 110 patients with OSCC treated in the Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine from January 2016 to January 2018 were selected as the study objects.The mRNA expression of lncRNA CASC9 and YKT6 in OSCC cancer tissue and adjacent tissues was detected by real-time fluorescence quantitative PCR.Immunohistochemistry was used to detect YKT6 protein expression in OSCC cancer tissue and adjacent tissues.Kaplan-Meier curves were used to analyze the influence of different lncRNA CASC9 and YKT6 mRNA expression on the prognosis of OSCC patients.Cox regression model was used to analyze the prognostic factors of OSCC.Results The lncRNA CASC9 and YKT6 mRNA expression in OSCC cancer tissues were 3.12±0.57 and 2.69±0.42,respectively,which were significantly higher than those in adjacent tissues(1.02±0.25,1.13±0.21),and the differences were statistically significant(t=35.386,34.843,P＜0.05).The positive rate of YKT6 protein in OSCC cancer tissues was 81.82％(90/110),which was higher than that in adjacent tissues[9.09％(10/110)],and the difference was statistically signifi-cant(x2=117.333,P＜0.05).There was a positive correlation between lncRNA CASC9 mRNA expression and YKT6 mRNA expression in OSCC cancer tissues(r=0.788,P＜0.001).The lncRNA CASC9 and YKT6 mRNA expressions in cancer tissues of OSCC with TNM stages m to Ⅳ,low differentiation and lymph node metastasis were higher than those in cancer tissues of OSCC with TNM stages Ⅰ to Ⅱ,high school differenti-ation and no lymph node metastasis,the difference was statistically significant(all P＜0.05).The 5-year cu-mulative survival rate of lncRNA CASC9 high expression group and YKT6 mRNA high expression group was lower than that of lncRNA CASC9 low expression group and YKT6 mRNA low expression group,and the difference was statistically significant(Log-rank X2=7.080,8.741,P=0.008,0.003).High expression of ln-cRNA CASC9,high expression of YKT6 mRNA,TNM stage m to Ⅳ,low differentiation and lymph node me-tastasis were prognostic risk factors in OSCC patients.Conclusion The expression of lncRNA CASC9 and YKT6 in OSCC cancer tissue is elevated,which can be used as tumor markers to evaluate the prognosis of OS-CC patients.

BACKGROUND:Previous studies on cervical instability failed to explain the dynamic and static interaction relationship and pathological characteristics changes in the development of cervical lesions under the traditional imaging examination.In recent years,the emerging nuclear magnetic resonance imaging(MRI)radiomics can provide a new way for in-depth research on cervical instability. OBJECTIVE:To investigate the application value of MRI radiomics in the study of cervical instability. METHODS:Through recruitment advertisements and the Second Department of Spine of Wangjing Hospital,China Academy of Chinese Medical Sciences,young cervical vertebra unstable subjects and non-unstable subjects aged 18-45 years were included in the cervical vertebra nuclear magnetic image collection.Five specific regions of interest,including the intervertebral disc region,the facet region,the prevertebral muscle region,the deep region of the posterior cervical muscle group,and the superficial region of the posterior cervical muscle group,were manually segmented to extract and screen the image features.Finally,the cervical instability diagnosis classification model was constructed,and the effectiveness of the model was evaluated using the area under the curve. RESULTS AND CONCLUSION:(1)A total of 56 subjects with cervical instability and 55 subjects with non-instability were included,and 1 688 imaging features were extracted for each region of interest.After screening,300 sets of specific image feature combinations were obtained,with 60 sets of regions of interest for each group.(2)Five regions of interest diagnostic classification models for cervical instability were initially established.Among them,the support vector machine model for the articular process region and the support vector machine model for the deep cervical muscle group had certain accuracy for the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.719 7 and 0.703 3,respectively.(3)The Logistic model in the intervertebral disc region,the LightGBM model in the prevertebral muscle region,and the Logistic model in the superficial posterior cervical muscle region were generally accurate in the classification of instability and non-instability,and the average area under the curve of ten-fold cross-validation was 0.650 4,0.620 7,and 0.644 2,respectively.(4)This study proved the feasibility of MRI radiomics in the study of cervical instability,further deepened the understanding of the pathogenesis of cervical instability,and also provided an objective basis for the accurate diagnosis of cervical instability.