OBJECTIVE: Rhodiolae Crenulatae Radix et Rhizoma (Hongjingtian in Chinese, RCRR), the roots and rhizomes of Rhodiola crenulata and its application in the medicinal market is very chaotic. In this study, DNA barcoding database and identification engine of Rhodiola species were established, decoction pieces from the medicinal market were identified, and the application and challenges of DNA barcoding in the rapid radiation of Rhodiola species were analyzed. This study provides reference for the protection, rational development, and utilization of endangered resources within Rhodiola species. METHODS: A total of 50 original plant samples from 20 species of the genus Rhodiola from Hebei, Xinjiang, Tibet, Jilin, and other major production areas were collected. Theses samples cover the typical distribution area (Qinghai-Tibetan Platea) of Rhodiola species and other scattered alpine regions (Changbai Mountain, Taibai Mountain, Lushan Mountain, etc.), it encompasses all Rhodiola species with thick rhizomes in China. ITS2 and psbA-trnH barcode of Rhodiola database (BORD) were established and an identification engine named Rhodiola-IDE was developed. The stability and accuracy of the standard DNA barcoding database were evaluated using two datasets. Rhodiola-IDE identified 31 decoction pieces of RCRR from the medicinal material market. RESULTS: The BORD containing 1 532 sequences of 88 Rhodiola species has been established, and the identification efficiency results showed good accuracy and stability. According to the Chinese Pharmacopoeia (2020 edition), 23 samples (74.2%) were identified as authentic R. crenulata, while the rest of the marketed varieties were R. kirilowii, R. dumulosa, and R. fastigiata. The product label "Larger flower, Hongjingtian" was identified as R. crenulata. Samples labeled as "Smaller flower, Hongjingtian" were identified as R. crenulata, R. kirilowii, and R. fastigiata. CONCLUSION ITS2 and psbA-trnH barcodes can identify monophyletic groups represented by R. crenulata. However, for non-monophyletic species, it is necessary to collect as many samples as possible and combine them with multiple markers for joint identification. This study discussed the application and challenges of DNA barcodes in Rhodiola under rapid radiation conditions, providing a scientific basis for the rational development and utilization of Rhodiola varieties.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

Objective:To explore the association between postoperative radiotherapy for bladder cancer and the risk of second primary rectal cancer.Methods:Eligible 75 120 patients with bladder cancer from the Surveillance, Epidemiology, and End Result database (SEER) of the National Cancer Institute (NCI) (1975-2017) were enrolled in this study. The second primary cancers referred to rectal cancers patients suffered after more than five years post-treatment for bladder cancer, and the cumulative incidence was estimated using Fine-Gray competing risk regression. The relative risk (RR) of rectal cancer in patients treated with or without radiotherapy (the RT group or the NRT group) was evaluated using Poisson regression.Results:Among the 75 120 patients, 70 045 (92.4%) were Caucasian, with a median age of 65.8 years (54-74 years). A total of 2 236 (3%) received postoperative radiotherapy, while 72 884 (97%) received surgery alone. The 30-year follow-up revealed a cumulative incidence of rectal cancer of 0.93% in the RT group and 0.43% in the NRT group ( P = 0.004). The competing risk regression analysis identified a significant association between radiotherapy and rectal cancer ( HR: 1.86; 95% CI 1.26-2.74, P < 0.009). Furthermore, the RR of radiotherapy-associated rectal cancer significantly increased as the diagnosis occurred earlier (1975-1985 vs. 1985-1994: RR 2.59; 95% CI 1.20-4.86, P < 0.001), and a lower age at the time of radiotherapy was associated with a higher probability of second primary tumors (≤50-year old vs. > 50 year old : RR 7.89, 95% CI 2.97-21.30, P < 0.001). As calculated using the Poisson distribution, the RR of second rectal tumors was higher in the RT group ( RR: 2.20, 95% CI 1.45-3.18, P < 0.001), even after adjusting the date of diagnosis ( RR: 1.77, 95% CI 1.17-2.57, P = 0.009). Conclusions:An increased risk of rectal cancer following bladder cancer radiotherapy necessitates aggressive follow-ups for the purpose of early detecting second primary rectal cancer associated with bladder cancer radiotherapy.

Objective To evaluate the CT features and differential value of gastric leiomyomas(GLs)and gastric stromal tumors(GSTs)after propensity score matching.Methods Twenty-six GLs were 1∶1 propensity score matched to GSTs based on sex,age,tumor site and size.Tumor shape and contour,mucosal ulcer,tumor growth patterns,enhancement pattern and degree,the lon-gest diameter(LD)of the tumor,and the ratio of the LD to the vertical diameter(VD)were analyzed.CT signs included hemor-rhage,calcification,peripheral invasion,and distant metastasis,etc.Regression analysis was used to determine the best quantitative evaluation for differentiation of them.Results The presence of mucosal ulcer was significantly more frequent in GSTs than in GLs(P=0.032).Both tumors showed progressive enhancement;however,the enhancement degree of GSTs was significantly higher than GLs in the arterial and portal venous phases(P=0.004,P=0.002,respectively).The above influential factors were included in a regression analysis using enhancement degree of 18 HU and 23 HU in the arterial and portal venous phases as cutoff values respectively.An enhancement degree≤18 HU in the arterial phase was identified as an independent influential factor in the diagnosis of GLs[odds ratio(OR)=12.776,95％confidence interval(CI)1.270-128.535].No significant difference was found in other morphological characteristics(P＞0.05).Conclusion Less ulceration on the tumor surface and mild enhancement in arterial phase are characteristic features of GLs compared with GSTs.

Objective:To analyze and explore the possible mechanism of anti-tumor metastasis of Notoginseng Radix et Rhizoma using Internet pharmacology. Methods:The active components and targets of Notoginseng Radix et Rhizoma were screened by retrieving Chinese Medicine System Pharmacology Database and Analysis Platform (TCMSP). GeneCards database was used to screen the anti-tumor metastasis-related targets, and compounds and disease targets were under mapping analysis. Key targets of Notoginseng Radix et Rhizoma for anti-tumor metastasis were screened through Venn map. With the help of Cytoscape 3.7.2 software, a compound-disease network diagram was constructed. String platform was used to build a PPI network. Bioconductor was used to enrich the target genes for KEGG signaling pathway and GO biological process analysis. Results:Totally 119 active components were selected from Notoginseng Radix et Rhizoma. There were 8 eligible active components, corresponding to 162 related targets, 121 targets related to anti-tumor metastasis, and 30 key targets screened by PPI network, including AKT1, MAPK1, JUN, RELA, IL6, etc. GO enrichment analysis mainly involved biological processes such as cytokine receptor binding, heme binding, RNA polymerase Ⅱ transcription factor binding, ubiquitin protein ligase binding, and steroid hormone receptor activity. 149 signal pathways related to Notoginseng Radix et Rhizoma anti-tumor metastasis were obtained by KEGG enrichment analysis, mainly involving multiple signal pathways, such as AGE-RAGE and PI3K-Akt, and hepatitis B, Kaposi's sarcoma-associated herpes virus infection, human cytomegalovirus infection and other viral infections and various tumors. Conclusion:Notoginseng Radix et Rhizoma can pass multiple active components, such as ginsenoside f2, ginsenoside rh2 β-, sitosterol, stigmasterol and quercetin, and multiple targets, such as AKT1, MAPK1, JUN, RELA and IL6, acting on multiple pathways such as PI3K-Akt, thereby playing the role of anti-tumor metastasis.

Objective:To analyze the safety and effectiveness of superselective embolization of the uterine arteries in the treatment of uterine fibroids.Methods:The clinical data of 60 patients with uterine fibroids who were admitted to Zhejiang Veteran Hospital from February 2020 to February 2022 were retrospectively analyzed. These patients were divided into a control group and an observation group ( n = 30/group) according to different surgical methods. The control group underwent conventional surgery. The observation group underwent superselective embolization of the uterine arteries. Uterine size, uterine fibroid size, postoperative hormone level, and complications were compared between the two groups. Results:There was no significant difference in total response rate between the observation and control groups [93.33 (28/30) vs. 83.33 (25/30), χ2 = 1.46, P > 0.05]. After surgery, serum estradiol, luteinizing hormone, follicle-stimulating hormone, and progesterone levels in the observation group were (164.14 ± 19.97) ng/L, (2.43 ± 1.47) IU/L, (2.51 ± 1.14) IU/L, and (5.05 ± 0.43) μg/L, respectively, which were significantly lower than (190.23 ± 21.62) ng/L, (3.78 ± 1.63) IU/L, (3.94 ± 1.23) IU/L, (8.22 ± 1.35) μg/L in the control group ( t = 4.86, 3.37, 4.67, 12.25, all P < 0.05). The incidence of postoperative complications in the observation group was significantly lower than that in the control group [3.33% (1/30) vs. 20.00% (6/30), χ2 = 4.04, P < 0.05). Conclusion:Compared with conventional surgery, superselective embolization of the uterine arteries is more effective on uterine fibroids, better keep postoperative hormone level stable, and reduce or avoid short- and long-term complications. Therefore, superselective embolization of the uterine arteries for the treatment of uterine fibroids deserves the clinical promotion.

In recent years, the research on the core competence of disaster nursing in China has been relatively active in recent years, but has not yet formed a scale and perfect system. This paper introduces the related concepts of disaster nursing core competence, the development of International Council of Nurses (ICN) disaster nursing core competence framework, summarizes the disaster nursing core competence of different disaster characteristics and rescue groups in China, the evaluation tools of disaster nursing core competence, the cultivation of core competence, and the factors affecting the competence, and puts forward some thoughts and prospects for the construction of disaster nursing core competence in the future.

Periodontitis is caused by overactive osteoclast activity that results in the loss of periodontal supporting tissue and mesenchymal stem cells (MSCs) are essential for periodontal regeneration. However, the hypoxic periodontal microenvironment during periodontitis induces the apoptosis of MSCs. Apoptotic bodies (ABs) are the major product of apoptotic cells and have been attracting increased attention as potential mediators for periodontitis treatment, thus we investigated the effects of ABs derived from MSCs on periodontitis. MSCs were derived from bone marrows of mice and were cultured under hypoxic conditions for 72 h, after which ABs were isolated from the culture supernatant using a multi-filtration system. The results demonstrate that ABs derived from MSCs inhibited osteoclast differentiation and alveolar bone resorption. miRNA array analysis showed that miR-223-3p is highly enriched in those ABs and is critical for their therapeutic effects. Targetscan and luciferase activity results confirmed that Itgb1 is targeted by miR-223-3p, which interferes with the function of osteoclasts. Additionally, DC-STAMP is a key regulator that mediates membrane infusion. ABs and pre-osteoclasts expressed high levels of DC-STAMP on their membranes, which mediates the engulfment of ABs by pre-osteoclasts. ABs with knock-down of DC-STAMP failed to be engulfed by pre-osteoclasts. Collectively, MSC-derived ABs are targeted to be engulfed by pre-osteoclasts via DC-STAMP, which rescued alveolar bone loss by transferring miR-223-3p to osteoclasts, which in turn led to the attenuation of their differentiation and bone resorption. These results suggest that MSC-derived ABs are promising therapeutic agents for the treatment of periodontitis.
Humans ; Osteoclasts ; Alveolar Bone Loss/therapy* ; Cell Differentiation ; MicroRNAs ; Periodontitis/therapy* ; Extracellular Vesicles ; Apoptosis ; Mesenchymal Stem Cells