Objective To investigate the weight loss efficacy and mechanisms of oligopeptide-herbal medicine composite,and to provide new approaches for obesity treatment.Methods Twenty-three SPF female SD rats were randomly divided into control group(n=3)and modeling group(n=20).The control group was fed an ordinary diet for 6 consecutive weeks,and the modeling group was fed a high-fat diet for 6 consecutive weeks to establish a simple obesity rat model.After successful modeling,the modeling group was randomly divided into model group(n=10)and treatment group(n=10).The treatment group started anoint-and-massage therapy with oligopeptide-herbal medicine composite(3 g per rat per time,once a day,20 min each time),which was recorded as day 1.The control group and model group were not treated with oligopeptide-herbal medicine composite but received the same massage,and continued to be fed ordinary feed and high-fat feed respectively.Ten rats in the model group and ten in the treatment group were each divided into 3 groups,with 3,3,and 4 rats in each group.On days 3,6,and 9 after treatment,the rats in the three groups were weighed and cardiac blood collection was performed after isoflurane respiratory anesthesia.After euthanasia by cardiac bloodletting,abdominal subcutaneous adipose tissue(aSAT)and perirenal white adipose tissue(pWAT)samples were collected and weighed.Serum triglycerides(TG)and high-density lipoprotein cholesterol(HDL-C)levels were measured.Image J software was used to measure aSAT thickness and the diameter and area of perirenal white adipocytes and abdominal subcutaneous adipocytes.Immunofluorescence technique was used to observe the number of telocytes(TCs),cell junctions and exosomes per unit area of aSAT.Transmission electron microscopy was used to measure the length of telopodes(Tps)of dermal and subcutaneous TCs in abdominal skin,and to observe the distribution of exosome vesicles,rough endoplasmic reticulum,mitochondria,and cell junctions.Results Compared with the control group,the body weight of rats in the modeling group increased significantly(P＜0.05).Compared with the control group,rats in the model group showed a significant increase in serum TG level,a significant decrease in HDL-C level,and a significant increase in pWAT mass(all P＜0.05).Compared with the model group,the treatment group showed a significantly increased rate of body weight reduction,significantly decreased pWAT mass,significantly decreased serum TG level,and significantly increased HDL-C level(all P＜0.05).Compared with the model group,the treatment group showed significant reductions in aSAT thickness,as well as cell diameter and area in both aSAT and pWAT(all P＜0.05).Compared with the model group,the treatment group showed significantly increased number of TCs per unit area of aSAT,number of exosomes from TCs in aSAT,and Tps length(all P＜0.05).The treatment group showed an increasing trend in the numbers of mitochondria,rough endoplasmic reticulum,and cell junctions in TCs.Conclusion Oligopeptide-herbal medicine composite applied via anoint-and-massage therapy effectively improves obesity-related symptoms such as dyslipidemia and fat accumulation in obese rats by regulating TCs and their intercellular communication.

Objective:To evaluate the prognostic value of lymph node ratio (LNR) combined with alpha-fetoprotein (AFP), carbohydrate antigen 199 (CA199) and carbohydrate antigen 724 (CA724) in patients undergoing surgical treatment for cervical cancer.Methods:A total of 118 patients with cervical cancer were treated in Yiwu Central Hospital from Jan.2018 to Aug. 2021. Patients with recurrence, metastasis and death during follow-up were included in the poor prognosis group, and vice versa in the good prognosis group. Clinical data, laboratory indicators and LNR, AFP, CA199 and CA724 levels of the subjects were collected. Lasso-Logistic regression analysis was used to screen independent risk factors affecting postoperative poor prognosis of the study subjects, and receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of LNR combined with AFP, CA199 and CA724 in evaluating postoperative poor prognosis of patients.Results:During the follow-up period, 15 out of 118 patients were lost to follow-up (12.71%, 15/118). Among the remaining 103 patients, 28 patients died, 12 patients had metastasis, and 7 patients had relapse, and the prognosis was 45.63% (47/103). Compared with the good prognosis group, the poor prognosis group had higher clinical stage (stage III), tumor size (> 4.0 cm), differentiation degree (low differentiation), proportion of lymph node metastasis and LNR, AFP, CA199, CA724 levels ( P<0.05). Clinical stage (stage III), differentiation degree (low differentiation), LNR, AFP, CA199, CA724 were independent risk factors for poor prognosis of patients with cervical cancer after surgery ( P<0.05). ROC curve results showed that the area under ROC curve (AUC), 95% CI and specificity of LNR combined with AFP, CA199 and CA724 in evaluating postoperative poor prognosis of cervical cancer patients were 0.904, 0.840-0.969 and 94.60%, respectively, higher than the prediction value of the above indexes alone ( P<0.001) . Conclusion:Abnormal levels of LNR, AFP, CA199 and CA724 are independent risk factors for postoperative poor prognosis in patients with cervical cancer, and the combined detection of these indicators has a higher value in predicting postoperative poor prognosis in patients with cervical cancer.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective To investigate the weight loss efficacy and mechanisms of oligopeptide-herbal medicine composite,and to provide new approaches for obesity treatment.Methods Twenty-three SPF female SD rats were randomly divided into control group(n=3)and modeling group(n=20).The control group was fed an ordinary diet for 6 consecutive weeks,and the modeling group was fed a high-fat diet for 6 consecutive weeks to establish a simple obesity rat model.After successful modeling,the modeling group was randomly divided into model group(n=10)and treatment group(n=10).The treatment group started anoint-and-massage therapy with oligopeptide-herbal medicine composite(3 g per rat per time,once a day,20 min each time),which was recorded as day 1.The control group and model group were not treated with oligopeptide-herbal medicine composite but received the same massage,and continued to be fed ordinary feed and high-fat feed respectively.Ten rats in the model group and ten in the treatment group were each divided into 3 groups,with 3,3,and 4 rats in each group.On days 3,6,and 9 after treatment,the rats in the three groups were weighed and cardiac blood collection was performed after isoflurane respiratory anesthesia.After euthanasia by cardiac bloodletting,abdominal subcutaneous adipose tissue(aSAT)and perirenal white adipose tissue(pWAT)samples were collected and weighed.Serum triglycerides(TG)and high-density lipoprotein cholesterol(HDL-C)levels were measured.Image J software was used to measure aSAT thickness and the diameter and area of perirenal white adipocytes and abdominal subcutaneous adipocytes.Immunofluorescence technique was used to observe the number of telocytes(TCs),cell junctions and exosomes per unit area of aSAT.Transmission electron microscopy was used to measure the length of telopodes(Tps)of dermal and subcutaneous TCs in abdominal skin,and to observe the distribution of exosome vesicles,rough endoplasmic reticulum,mitochondria,and cell junctions.Results Compared with the control group,the body weight of rats in the modeling group increased significantly(P＜0.05).Compared with the control group,rats in the model group showed a significant increase in serum TG level,a significant decrease in HDL-C level,and a significant increase in pWAT mass(all P＜0.05).Compared with the model group,the treatment group showed a significantly increased rate of body weight reduction,significantly decreased pWAT mass,significantly decreased serum TG level,and significantly increased HDL-C level(all P＜0.05).Compared with the model group,the treatment group showed significant reductions in aSAT thickness,as well as cell diameter and area in both aSAT and pWAT(all P＜0.05).Compared with the model group,the treatment group showed significantly increased number of TCs per unit area of aSAT,number of exosomes from TCs in aSAT,and Tps length(all P＜0.05).The treatment group showed an increasing trend in the numbers of mitochondria,rough endoplasmic reticulum,and cell junctions in TCs.Conclusion Oligopeptide-herbal medicine composite applied via anoint-and-massage therapy effectively improves obesity-related symptoms such as dyslipidemia and fat accumulation in obese rats by regulating TCs and their intercellular communication.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective:To evaluate the prognostic value of lymph node ratio (LNR) combined with alpha-fetoprotein (AFP), carbohydrate antigen 199 (CA199) and carbohydrate antigen 724 (CA724) in patients undergoing surgical treatment for cervical cancer.Methods:A total of 118 patients with cervical cancer were treated in Yiwu Central Hospital from Jan.2018 to Aug. 2021. Patients with recurrence, metastasis and death during follow-up were included in the poor prognosis group, and vice versa in the good prognosis group. Clinical data, laboratory indicators and LNR, AFP, CA199 and CA724 levels of the subjects were collected. Lasso-Logistic regression analysis was used to screen independent risk factors affecting postoperative poor prognosis of the study subjects, and receiver operating characteristic (ROC) curve was drawn to analyze the predictive value of LNR combined with AFP, CA199 and CA724 in evaluating postoperative poor prognosis of patients.Results:During the follow-up period, 15 out of 118 patients were lost to follow-up (12.71%, 15/118). Among the remaining 103 patients, 28 patients died, 12 patients had metastasis, and 7 patients had relapse, and the prognosis was 45.63% (47/103). Compared with the good prognosis group, the poor prognosis group had higher clinical stage (stage III), tumor size (> 4.0 cm), differentiation degree (low differentiation), proportion of lymph node metastasis and LNR, AFP, CA199, CA724 levels ( P<0.05). Clinical stage (stage III), differentiation degree (low differentiation), LNR, AFP, CA199, CA724 were independent risk factors for poor prognosis of patients with cervical cancer after surgery ( P<0.05). ROC curve results showed that the area under ROC curve (AUC), 95% CI and specificity of LNR combined with AFP, CA199 and CA724 in evaluating postoperative poor prognosis of cervical cancer patients were 0.904, 0.840-0.969 and 94.60%, respectively, higher than the prediction value of the above indexes alone ( P<0.001) . Conclusion:Abnormal levels of LNR, AFP, CA199 and CA724 are independent risk factors for postoperative poor prognosis in patients with cervical cancer, and the combined detection of these indicators has a higher value in predicting postoperative poor prognosis in patients with cervical cancer.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective To investigate the effect of exogenous luteinizing hormone (LH) on vitrification granulosa cells and its mecha-nisms. Methods The granulosa cells of 4-week-old preadolescent mice were selected and divided into the fresh group (without vitrification procedure),the vitrification group (treated according to vitrification procedure) and the LH group (treated with 0.3 IU/L of LH intervention on the basis of the vitrification group). Granulocyte count was performed,and Realtime PCR and Western blot were used to detect the expression changes of Foxl2,PI3K,AKT and mTOR mRNAs and proteins in each group. Results Compared with the vitrification group,the total number of granulosa cells in the LH group was significantly increased (P<0.05),and the expression of Foxl2,PI3K,AKT and mTOR mRNAs and proteins were elevated (P<0.05). Conclusion The intevention of exogenous LH is beneficial for the survival of vitrifi-cation granulosa cells,and the mechanism may be related to the activation of PI3K/AKT/mTOR pathway.

ObjectiveTo observe the clinical efficacy and safety of Tangning Tongluo tablets in the treatment of nonproliferative diabetic retinopathy （DR）. MethodsFourteen research centers participated in this study， which spanned a time interval from September 2021 to May 2023. A total of 240 patients with nonproliferative DR were included and randomly assigned into an observation group （120 cases） and a control group （120 cases）. The observation group was treated with Tangning Tongluo tablets， and the control group with calcium dobesilate capsules. Both groups were treated for 24 consecutive weeks. The vision， DR progression rate， retinal microhemangioma， hemorrhage area， exudation area， glycosylated hemoglobin （HbA1c） level， and TCM syndrome score were assessed before and after treatment， and the safety was observed. ResultsThe vision changed in both groups after treatment （P<0.05）， and the observation group showed higher best corrected visual acuity （BCVA） than the control group （P<0.05）. The DR progression was slow with similar rates in the two groups. The fundus hemorrhage area and exudation area did not change significantly after treatment in both groups， while the observation group outperformed the control group in reducing the fundus hemorrhage area and exudation area. There was no significant difference in the number of microhemangiomas between the two groups before treatment. After treatment， the number of microhemangiomas decreased in both the observation group （Z=-1.437， P<0.05） and the control group （Z=-2.238， P<0.05）， and it showed no significant difference between the two groups. As the treatment time prolonged， the number of microhemangiomas gradually decreased in both groups. There was no significant difference in the HbA1c level between the two groups before treatment. After treatment， the decline in the HbA1c level showed no significant difference between the two groups. The TCM syndrome score did not have a statistically significant difference between the two groups before treatment. After treatment， neither the TCM syndrome score nor the response rate had significant difference between the two groups. With the extension of the treatment time， both groups showed amelioration of TCM syndrome compared with the baseline. ConclusionTangning Tongluo tablets are safe and effective in the treatment of nonproliferative DR， being capable of improving vision and reducing hemorrhage and exudation in the fundus.

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.