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.

OBJECTIVE: To evaluate early effectiveness of posterior 180-degree decompression via unilateral biportal endoscopy (UBE) in the treatment of lumbar spinal stenosis (LSS) combined with Michigan State University (MSU)-1 lumbar disc herniation (LDH). METHODS: A retrospective analysis was conducted on clinical data from 33 patients with LSS combined with MSU-1 LDH, who met selection criteria and were treated between March 2022 and January 2024. All patients underwent UBE-assisted 180-degree spinal canal decompression. The cohort comprised 17 males and 16 females, aged 37-82 years (mean, 67.1 years). Preoperative presentations included bilateral lower limbs intermittent claudication and radiating pain, with disease duration ranging from 5 to 13 months (mean, 8.5 months). Affected segments included L _{3, 4} in 4 cases, L _{4, 5} in 28 cases, and L ₅, S ₁ in 1 case. LSS was rated as Schizas grade A in 4 cases, grade B in 5 cases, grade C in 13 cases, and grade D in 11 cases. LDH was categorized as MSU-1A in 24 cases, MSU-1B in 2 cases, and MSU-1AB in 7 cases. Intraoperative parameters (operation time, blood loss) and postoperative hospitalization length were recorded. The visual analogue scale (VAS) score and Oswestry Disability Index (ODI) were used to assess the lower limb pain and functional outcomes after operation. Clinical efficacy was evaluated at last follow-up via modified MacNab criteria. Quantitative radiological assessments included dural sac cross-sectional area (DSCA) measurements and spinal stenosis grading on lumbar MRI. Morphological classification of lumbar canal stenosis was determined according to the Schizas grading, categorized into four grades. RESULTS: The operation time was 60.4-90.8 minutes (mean, 80.3 minutes) and intraoperative blood loss was 13-47 mL (mean, 29.9 mL). The postoperative hospitalization length was 3-5 days (mean, 3.8 days). All patients were followed up 12-16 months (mean, 13.8 months). The VAS score and ODI improved at immediate and 3, 6, and 12 months after operation compared to before operation, and the differences between different time points were significant ( P<0.05). At last follow-up, the clinical efficacy assessed by the modified MacNab criteria were graded as excellent in 23 cases, good in 9 cases, and poor in 1 case, with an excellent and good rate of 96.97%. Postoperative lumbar MRI revealed the significant decompression of the dural sac in 32 cases, with 1 case showing inadequate dural expansion. DSCA measurements confirmed progressive enlargement and stenosis reduction over time. The differences were significant ( P<0.05) before operation, immediately after operation, and at 6 months after operation. At 6 months after operation, Schizas grading of spinal stenosis improved to grade A in 27 cases and grade B in 6 cases. CONCLUSION Posterior 180-degree decompression via UBE is a safe and feasible strategy for treating LSS combined with MSU-1 LDH, achieving effective neural decompression while preserving intervertebral disc integrity.
Humans ; Spinal Stenosis/diagnostic imaging* ; Male ; Female ; Aged ; Lumbar Vertebrae/surgery* ; Middle Aged ; Intervertebral Disc Displacement/complications* ; Decompression, Surgical/methods* ; Retrospective Studies ; Endoscopy/methods* ; Adult ; Aged, 80 and over ; Treatment Outcome

OBJECTIVES: Lymph node metastasis in papillary thyroid cancer (PTC) is closely associated with tumor recurrence and patient survival. However, current technologies have limited sensitivity in detecting occult cervical lymph node metastases. Identifying accurate molecular markers for predicting PTC metastasis holds significant clinical value. This study aims to analyze WNT10A expression in PTC and its clinical significance, and to explore the role of WNT10A gene knockdown in PTC cell proliferation, invasion, and metastasis. METHODS: The expression of WNT10A in thyroid carcinoma was analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA) and University of Alabama at Birminghara Cancer data analysis Portal (UALCAN) databases. Real-time RT-PCR was used to measure WNT10A mRNA levels in tumor and adjacent normal tissues from 32 PTC patients. Immunohistochemistry was conducted on 158 PTC specimens to assess WNT10A protein expression and its correlation with clinicopathological features. In vitro experiments were performed using K1 and TPC-1 cell lines. Cell proliferation was assessed using the Celigo system and methyl thiazolyl tetrazolium (MTT) assays; apoptosis was measured via flow cytometry; invasion and metastasis were evaluated using scratch and Transwell assays. A xenograft model was established in nude mice to observe tumor growth, and tumor weight and volume were compared between cell lines. Differentially expressed genes regulated by WNT10A were identified via mRNA sequencing, followed by Gene Ontology (GO) and ingenuity pathway analysis (IPA). Real-time PCR and Western blotting were used to validate the effects of WNT10A on key downstream mRNA and protein in the Tec kinase signaling pathway. RESULTS: WNT10A mRNA expression was significantly higher in thyroid cancer tissues compared to adjacent normal tissues according to GEPIA and UALCAN (both P<0.01). The real-time RT-PCR result showed that WNT10A mRNA expression in PTC tissues was high than that in adjacent tissues (P<0.01). Immunohistochemistry revealed significantly higher WNT10A protein expression in PTC tissues compared to adjacent tissues (P<0.01), and its expression correlated with multifocality, extrathyroidal invasion, and lymph node metastasis. WNT10A knockdown significantly inhibited proliferation, altered cell cycle distribution, and increased apoptosis in K1 and TPC-1 cells (all P<0.01). WNT10A silencing also reduced migration and invasion abilities in both cell lines. In vivo, WNT10A knockdown in TPC-1 cells suppressed tumor formation in nude mice. GO analysis and IPA suggested that the Tec kinase signaling pathway was a key downstream target of WNT10A. RT-PCR and Western blotting confirmed that WNT10A knockdown downregulated the expression of key genes (STAT3, MAPK8, TNFRSF21, and AKT2) in this pathway. CONCLUSIONS WNT10A is highly expressed in PTC and is associated with tumor proliferation, invasion, and metastasis. Its tumor-promoting effects may be mediated through suppression of the Tec kinase signaling pathway.
Humans ; Cell Proliferation ; Thyroid Cancer, Papillary/pathology* ; Thyroid Neoplasms/metabolism* ; Animals ; Wnt Proteins/metabolism* ; Neoplasm Invasiveness ; Mice ; Cell Line, Tumor ; Female ; Male ; Mice, Nude ; Apoptosis ; Lymphatic Metastasis ; Middle Aged ; Cell Movement ; Adult

Objective To evaluate the diagnostic value of preoperative positron emission computed-tomography(PET-CT)examination for lymph node metastasis in early non-small cell lung cancer(NSCLC).Methods A total of 232 early-stage NSCLC patients who underwent preoperative PET-CT examination and radical surgery for lung cancer in the hospital from January 2019 to April 2023 were selected.Clinical data,PET-CT examination results,and lymph node dissection pathology were collected to calculate the sensitivity,specificity,accuracy,positive predictive value and negative predictive value of PET-CT diagnosis of NSCLC lymph node metastasis.The maximum standard uptake value(SUVmax)of the primary lesion and the predic-tive value of lymph node SUVmax for early NSCLC lymph node metastasis were evaluated by the receiver op-erating characteristic(ROC)curve.Results The accuracy of PET-CT examination in the diagnosis of NSCLC was 95.69％,the accuracy of lymph node metastasis diagnosis was 85.78％,the sensitivity was 35.56％,the specificity was 97.86％,the positive predictive value was 80.00％,and the negative predictive value was 86.32％.There was a statistically significant difference in the detection rate of PET-CT examination and path-ological results among pulmonary nodules of different natures and sizes(P＜0.01).For predicting lymph node metastasis in NSCLC,the cutoff point of SUVmax in the primary lesion was 3.83(P＜0.001),and the cutoff point of SUVmax in lymph nodes was 3.07(P＜0.001).Conclusion In early NSCLC,preoperative PET-CT examination has a high diagnostic accuracy for ground glass nodule lymph node metastasis,but its di-agnostic value for solid nodule lymph node metastasis is limited and insufficient to guide lymph node dissec-tion.Primary lesion SUVmax≥3.83 or lymph node SUVmax≥3.07 are high-risk factors for early lymph node metastasis in lung cancer.

[Objective]To establish a risk recognition model for coronary artery stenosis by using a machine learning method and to identify the key causative factors.[Methods]Patients aged≥18 years,diagnosed with coronary heart disease through coronary angiography from January 2013 to May 2020 in two prominent hospitals in Shanxi Province,were continuously enrolled.Logistic regression,back propagation neural network(BPNN),and random forest(RF)algorithms were used to construct models for detecting the causative factors of coronary artery stenosis.Sensitivity(TPR),specificity(TNR),accuracy(ACC),positive predictive value(PV+),negative predictive value(PV-),area under subject operating characteristic curve(AUC),and calibration curve were used to compare the discrimination and calibration performance of the models.The best model was then employed to predict the main risk variables associated with coronary stenosis.[Results]The RF model exhibited superior comprehensive performance compared to logistic regression and BPNN models.The TPR values for logistic regression,BPNN,and RF models were 75.76%,74.30%,and 93.70%,while ACC values were 74.05%,72.30%,and 79.49%,respectively.The AUC values were:logistic regression 0.739 9;BPNN 0.723 1;RF 0.752 2.Manifestations such as chest pains,abnormal ST segments on ECG,ventricular premature beats with hypertension,atrial fibrillation,regional wall motion abnormalities(RWMA)by color echocardiography,aortic regurgitation(AR),pulmonary insufficiency(PI),family history of cardiovascular diseases,and body mass index(BMI)were identified as top ten important variables affecting coronary stenosis according to the RF model.[Conclusions]Random forest model shows the best comprehensive performance in identification and accurate assessment of coronary artery stenosis.The prediction of risk factors affecting coronary artery stenosis can provide a scientific basis for clinical intervention and help to formulate further diagnosis and treatment strategies so as to delay the disease progression.

Needle-free injection(NFI)has emerged as a novel vaccine delivery technology,utilizing high-pressure jet streams to deliver vaccines into intradermal or subcutaneous tissues.In recent years,the application of this technology in the fields of medicine and veterinary medicine has a-chieved significant progress.Compared with traditional needle injection,the core advantages of NFI have been highlighted in several aspects:it has significantly improved vaccination efficiency,mak-ing it particularly suitable for mass vaccination campaigns;it has reduced animal stress;it has en-hanced the comfort of vaccination;it has more effectively induced immune responses;and it has a-voided the risk of needle contamination,thereby lowering the infection rate.However,NFI has also faced challenges such as high equipment costs,complex operation,and the need to improve market acceptance.Future research directions have focused on the development of new vaccines and adju-vants as well as the design and optimization of needle-free injectors to enhance their universality and safety among different populations.In summary,NFI has provided an important solution for the innovation of vaccine delivery systems by improving vaccination comfort and immune efficacy and has offered theoretical basis and technical references for its industrial development.

Objective To investigate the association between UGT1A1 inhibitors-induced liver injury(DILI)and UGT1A1 gene polymorphisms through a pharmacogenomics approach.Methods Information on relevant drugs that may induce liver injury,blood routine tests,and liver function tests was collected from hospitalized patients diagnosed with DILI between June 2022 and June 2024.Relevant databases were searched to categorize DILI-associated drugs into UGT1A1 enzyme inhibitors and those without interaction with UGT1A1.Sanger sequenc-ing or MassARRAY SNP typing technology was utilized to detect and genotype the UGT1A1 gene.Results A total of 219 patients with drug-induced liver injury(DILI)were enrolled,including 98 males,with a mean age of 46.32±14.95 years.A literature search of relevant databases revealed that 20 drugs(16.26%,20/123)associated with DILI had inhibitory effects on the UGT1A1 enzyme.The proportion of DILI cases related to UGT1A1 inhibitors was 60.73%(133/219).Compared to non-UGT1A1 inhibitor-related DILI group,the UGT1A1 inhibitor-related DILI group exhibited significantly higher levels of ALT,AST,ALP,and GGT(P<0.05),while no significant differences were observed in age,gender,TBIL,IBIL,WBC,Hb,PLT,injury type,or injury grade(P>0.05).The prevalence of UGT1A1 polymorphisms was significantly higher in the UGT1A1 inhibitor-related DILI group(68.42%)com-pared to the non-UGT1A1 inhibitor-related DILI group(51.16%),with an odds ratio(OR)of 2.068(95%CI:1.183 to 3.617;χ2=6.58,P=0.010).There was also a significant difference in the distribution of genotypes between the UGT1A1 inhibitor-related and non-UGT1A1 inhibitor-related DILI groups(χ2=9.60,P=0.022).Univariate logistic regression analysis indicated that ALT and UGT1A1*6 were associated with UGT1A1 inhibitor-related DILI,while multivariate analysis confirmed that UGT1A1*6 was independently associated with UGT1A1 inhibitor-related DILI[OR(95%CI)=3.143(1.398 to 7.067),P=0.006].Conclusion The UGT1A1*6 allele increases the susceptibility to drug-induced liver injury(DILI)associated with UGT1A1 inhibitory drugs.

Objective To analyze the risk factors associated with intraoperative parathyroid injury during thyroid cancer surgery and develop a predictive model to evaluate its predictive efficacy.Methods A retrospective study was conducted involving 76 patients who experienced intraoperative parathyroid injury during thyroid cancer surgery between May 2021 and February 2024.These patients were included in the parathyroid injury group.For the control group,76 patients who underwent thyroid cancer surgery without intraoperative parathyroid injury during the same period were selected.Clinical data,complete blood count parameters,and other relevant variables were collected.Univariate analysis was performed to screen for potential risk factors,and Logistic regression analysis was used to identify independent risk factors.A regression predictive model was established,and the model's goodness-of-fit and predictive power were evaluated.Results Among the 76 patients,75 had temporary parathyroid function impairment and 1 had permanent parathyroid function impairment.Univariate and multivariate Logistic regression analyses showed that bilateral lymph node dissection,bilateral total lobectomy,capsule invasion,and combined hashimoto's thyroiditis were independent risk factors(P＜0.05).A predictive regression model was developed based on these factors.The Hosmer-Lemeshow test showed a x2=2.064,P=0.356,indicating good model fit.The receiver operating characteristic(ROC)curve revealed that the model had an area under the curve(AUC)of 0.713,with a 95％confidence interval(CI)of 0.639 to 0.787,suggesting good predictive efficacy.Conclusion Hashimoto's thyroiditis,capsular invasion,bilateral lymph node dissection,and bilateral total lobectomy are significant risk factors for intraoperative parathyroid injury during thyroid cancer surgery.The predictive model constructed based on these factors has good predictive efficacy.

Needle-free injection(NFI)has emerged as a novel vaccine delivery technology,utilizing high-pressure jet streams to deliver vaccines into intradermal or subcutaneous tissues.In recent years,the application of this technology in the fields of medicine and veterinary medicine has a-chieved significant progress.Compared with traditional needle injection,the core advantages of NFI have been highlighted in several aspects:it has significantly improved vaccination efficiency,mak-ing it particularly suitable for mass vaccination campaigns;it has reduced animal stress;it has en-hanced the comfort of vaccination;it has more effectively induced immune responses;and it has a-voided the risk of needle contamination,thereby lowering the infection rate.However,NFI has also faced challenges such as high equipment costs,complex operation,and the need to improve market acceptance.Future research directions have focused on the development of new vaccines and adju-vants as well as the design and optimization of needle-free injectors to enhance their universality and safety among different populations.In summary,NFI has provided an important solution for the innovation of vaccine delivery systems by improving vaccination comfort and immune efficacy and has offered theoretical basis and technical references for its industrial development.

Objective To analyze the risk factors associated with intraoperative parathyroid injury during thyroid cancer surgery and develop a predictive model to evaluate its predictive efficacy.Methods A retrospective study was conducted involving 76 patients who experienced intraoperative parathyroid injury during thyroid cancer surgery between May 2021 and February 2024.These patients were included in the parathyroid injury group.For the control group,76 patients who underwent thyroid cancer surgery without intraoperative parathyroid injury during the same period were selected.Clinical data,complete blood count parameters,and other relevant variables were collected.Univariate analysis was performed to screen for potential risk factors,and Logistic regression analysis was used to identify independent risk factors.A regression predictive model was established,and the model's goodness-of-fit and predictive power were evaluated.Results Among the 76 patients,75 had temporary parathyroid function impairment and 1 had permanent parathyroid function impairment.Univariate and multivariate Logistic regression analyses showed that bilateral lymph node dissection,bilateral total lobectomy,capsule invasion,and combined hashimoto's thyroiditis were independent risk factors(P＜0.05).A predictive regression model was developed based on these factors.The Hosmer-Lemeshow test showed a x2=2.064,P=0.356,indicating good model fit.The receiver operating characteristic(ROC)curve revealed that the model had an area under the curve(AUC)of 0.713,with a 95％confidence interval(CI)of 0.639 to 0.787,suggesting good predictive efficacy.Conclusion Hashimoto's thyroiditis,capsular invasion,bilateral lymph node dissection,and bilateral total lobectomy are significant risk factors for intraoperative parathyroid injury during thyroid cancer surgery.The predictive model constructed based on these factors has good predictive efficacy.