Objective:To compare surgical-related indicators between non-inflated subclavian endoscopic surgery and axillary and traditional open surgery for the treatment of right lobe thyroid cancer,as well as their effects on postoperative anterior cervical function and cosmetic outcomes.Methods:This retrospective cohort study analyzed 151 cases of thyroid cancer patients who underwent surgical treatment at the Department of Thyroid Surgery,Zhengzhou Central Hospital Affiliated to Zhengzhou University from June 2024 to October 2024. Based on the surgical approach,patients were divided into three groups:56 cases of traditional open surgery group, 44 cases of non-inflated axillary approach group,and 51 cases of non-inflated subclavian approach group. Comparative indicators included surgical time, parathyroid autotransplantation rate,complete exposure rate of central area, number of lymph node dissections, number of positive lymph nodes, anterior cervical function, and satisfaction with incision beauty. One-way analysis of variance,non-parametric test,Kruskal-Wallis test,Pearson χ2 test and Fisher′s exact probability method were used to compare the results of the three groups and subsequent pairwise comparisons,respectively. Results:All laparoscopic surgeries were successfully completed without conversion to open surgery. (1) Surgical time:the traditional open surgery group had the shortest operative time ( M(IQR))(71.5(16.0)minutes), significantly shorter than both endoscopic groups (both P<0.01); among the endoscopic approaches, the non-inflated subclavian approach group (97.0(10.0)minutes) had a significantly shorter operative time than the non-inflated axillary approach group (115.0(11.0)minutes)( P<0.01). (2) Parathyroid autotransplantation rate:the rates were 53.6%(30/56) in the traditional group, 70.5%(31/44) in the non-inflated axillary approach group, and 66.7%(34/51) in the non-inflated subclavian approach group, with no statistically significant differences ( P>0.05). (3) Complete exposure rate of the central area:the exposure rate was 100%(56/56) in the traditional open surgery group, 86.4%(38/44) in the non-inflated axillary approach group, and 96.1%(49/51) in the non-inflated subclavian approach group. A significant difference was observed between the traditional open surgery group and the non-inflated axillary approach group ( χ2=8.124, P<0.01), but not observed between other groups. (4) Number of lymph node dissection:no significant difference was found among the three groups (8(6)(range:2 to 17) in the traditional open surgery group,7(3)(range:2 to 16) in the non-inflated axillary approach group,7(4)(range:2 to 16) in the non-inflated subclavian approach group)( P=0.078).(5) Number of positive lymph nodes:no significant differences were observed among the three groups( P=0.923). (6) Postoperative anterior cervical function:① Visual analogue scale: there was no significant difference between the non-insufflation transaxillary approach group and the non-insufflation subclavian approach group at 3 days and 1 month postoperatively ( P>0.017). However, the two groups had significantly lower scores than the traditional open group (both P<0.01). ② Neck disability index:at 3 days post-surgery, there were significantly lower in the axillary and subclavian groups compared to the traditional open group ( P<0.01), with no significant difference between the two endoscopic groups( P>0.017); at 1 month postoperatively, the traditional open surgery group, gasless axillary approach group, and gasless subclavian approach group, with statistically significant differences between each group (both P<0.01). ③ Swallowing disorder index: no significant differences were observed at 3 days post-surgery( P>0.05); however, at 1 month post-surgery, the endoscopic groups showed significantly lower scores compared to the traditional open group(both P<0.01).(7) Satisfaction with incision beauty:significant differences were found among the three groups in terms of vancouver scar scores, patient scar assessment scores, and observer scar assessment scores(all P<0.01). Conclusions:Compared to the non-inflated axillary endoscopic thyroidectomy, the non-inflated subclavian approach offers a technically simpler procedure, better exposure of the central lymph node dissection area, and superior protection of anterior cervical function, although it results in less favorable cosmetic outcomes. Under strict preoperative evaluation and appropriate indications,both non-inflated subclavian and axillary approaches can achieve outcomes comparable to traditional open surgery for cN0 thyroid cancer,demonstrating good clinical application value.

Objective To investigate the protective effects of secretomes released by three-dimensional cultured mesenchymal stem cells(MSCs)on neurons subjected to seawater immersion(SW)and stretch injury(SI),and to provide new insights into neuronal repair following SW combined with traumatic brain injury(TBI).Methods MSCs were cultured using the hanging drop method,and the conditioned medium(CM)containing MSCs secretomes was collected.A cellular model combining SW with SI was established using mouse hippocampal neuronal cells(HT22 cells).HT22 cells were randomly assigned to five groups:control,SI,SI+SW,SI+CM,and SI+SW+CM groups.Cell viability was assessed using the CCK-8 assay,apoptosis rate was measured by flow cytometry,cell migration ability was evaluated by scratch assay,and the expression levels of apoptosis-related proteins Bcl-2 and Bcl-2-associated protein(Bax),and ferroptosis-related proteins long-chain acyl-CoA synthetase 4(ACSL4)and cyclooxygenase-2(COX-2)were detected by Western blotting.Results Immersion in 15%seawater for 12 h significantly decreased HT22 cell viability(P<0.05).The CCK-8 assay indicated that cell viability in both the SI and SI+SW groups was significantly lower than that in control group after 12 h of treatment(P<0.05).Treatment with CM containing MSCs secretomes significantly increased cell viability in SI+CM group compared to SI group(P<0.0001),and in SI+SW+CM group compared to SI+SW group(P<0.001).Flow cytometry results revealed that the apoptosis rate in SI and SI+SW groups was significantly higher than that in control group(P<0.05 or P<0.001),while in SI+CM group was lower than that in SI group(P<0.05),and in SI+SW+CM group was lower than that in SI+SW group(P<0.05).Western blotting showed that compared to control group,SI and SI+SW groups exhibited reduced Bcl-2 expression level(P<0.01 or P<0.0001)and increased expression levels of Bax,ACSL4,and COX-2(P<0.01 or P<0.0001).Compared to SI group,the SI+CM group displayed increased Bcl-2 expression level(P<0.05)and decreased expression levels of Bax,ACSL4,and COX-2(P<0.05).Compared to SI+SW group,SI+SW+CM group exhibited increased Bcl-2 expression level(P<0.01)and decreased expression levels of Bax,ACSL4,and COX-2(P<0.01 or P<0.001).Scratch assay results demonstrated that at both 12 h and 24 h,the cell migration rate in SI and SI+SW groups was significantly lower than that in control group(P<0.01 or P<0.0001),while the migration rate in SI+CM group was significantly higher than that in SI group(P<0.0001 or P<0.01),and the migration rate in SI+SW+CM group was significantly higher than that in SI+SW group(P<0.0001).Conclusion Secretomes derived from MSCs cultured using the hanging drop method can alleviate neuronal damage caused by SW and TBI,potentially offering a therapeutic approach for SW combined with TBI.

Objective To construct a risk prediction model for atherosclerosis(AS)in patients with rheumatoid arthritis(RA)based on Lasso-Logistic regression analysis and provide a scientific basis for individualized clinical intervention.Methods The retrospective clinical data were collected from 344 RA patients,including 86 patients with AS(RA+AS group)and 258 patients with without AS(RA group).The clinical characteristics and initial laboratory test results were compared between the two groups.Lasso regression was used to screen the key predictive variables,and Logistic regression was combined to construct the prediction mode.The discrimination of the model was evaluated through the receiver operating characteristic(ROC)curve and the area under the curve(AUC).The Hosmer-Lemeshow test was used to assess the calibration,and decision curve analysis was used to verify the clinical applicability of the model.Results Seven predictive variables were identified including RA disease duration,DAS28 score,C-reactive protein(CRP),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),fasting blood glucose(FBG)and hypertension.The risk prediction model for AS in RA patients was:Logit(P)=-2.674+0.605×RA disease duration+0.393×DAS28 score+0.310×CRP+1.346×TG-2.289×HDL-C+0.679×FBG+0.711×hypertension.The AUC of the model was 0.965(95%CI:0.943-0.987),and the Hosmer-Lemeshow test showed χ2=0.547,P=1.000,indicating good discrimination and calibration.Clinical decision curve analysis showed that the probability threshold ranged from 7%to 92%,demonstrating high clinical applicability.Conclusion The AS risk prediction model constructed in this study for RA patients can effectively identify high-risk individuals,supporting the development of personalized prevention and treatment strategies.

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 examine the anti-central-fatigue function of maca and its underlying mechanism.Methods Forty Sprague-Dawley rats were divided randomly into a negative control group,model control group,and low-,medium-,and high-dose maca groups(0.6,1.2,and 2.4 g/kg·body weight).Rats in all groups except the negative control group were subjected to multi-factor stimulation,including cold-water swimming,sleep deprivation,restraining,and tail-clamping,to establish central fatigue rat models.Rats in the low-,medium-,and high-dose maca groups received 0.6,1.2,or 2.4 g/kg maca,respectively,by gavage for 35 days.Behavioral testing was carried out using the Morris water-maze,sucrose-preference,and tail-suspension tests.Markers of oxidative stress in the hippocampus,including superoxide dismutase(SOD),malondialdehyde(MDA),and catalase(CAT),were detected using test kits.Proteins connected with the AMP-activated protein kinase(AMPK)/sirtuin 1(SIRT1)/peroxisome proliferator-activated receptor γ coactivator 1-α(PGC-1α)signaling pathway in the hippocampus were detected by Western blot.Results Rats in the low-,medium-,and high-dose maca groups spent significantly more time in the target quadrant compared with the model control group(P＜0.05 or P＜0.01),but there was no significant dose-effect relationship.Rats in the medium-and high-dose maca groups showed decreased escape latency(P＜0.05),increased time crossing the platform location(P＜0.05),increased sucrose preference(P＜0.05),decreased tail suspension time(P＜0.05),increased the activities of CAT(P＜0.01)and SOD(P＜0.05),and decreased MDA content(P＜0.01).Rats in the low-,medium-,and high-dose maca groups also showed significantly increased protein expression levels of AMPK and nuclear respiratory factor 1(P＜0.01 or P＜0.05),but no significant dose-effect relationship was observed.Rats in the medium-and high-dose maca groups showed increased protein expression of PGC-1α(P＜0.05 or P＜0.01),and rats in the high-dose maca group showed increased protein expression of SIRT1 and mitochondrial transcription factor A(P＜0.05 or P＜0.01).Conclusions Maca can improve the indicators of central fatigue in rats,determined by behavioral testing and oxidative stress-related factors.The underlying mechanism may be related to its regulatory effects on the AMPK/SIRT1/PGC-1α signaling pathway.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective To investigate the outcome of endovascular aortic repair under digital subtraction angiography (DSA) in the treatment of Stanford type B aortic dissection (TBAD). Methods A total of 104 TBAD patients admitted to our hospital from October 2019 to October 2022 were selected,of which 52 patients treated with best medication treat (BMT) were included into the BMT group,and 52 patients who underwent endovascular aortic repair under DSA on the basis of BMT were included into the combination group. The acute physiological and chronic health evaluation Ⅱ (APACHE Ⅱ) score,serum inflammatory indicators,liver and kidney function indicators,and coagulation function indicators before and after treatment,and hospital stay were compared between the two groups. Results The APACHE Ⅱ score,liver and kidney function indicators and inflammatory factors after treatment in the combination group were lower than those before treatment and in the BMT group (P<0.05). The combination group had more significant changes of coagulation function indicators after treatment than those before treatment and in the BMT group (P<0.05). The hospital stay of the combination group was shorter than that of the BMT group (P<0.05). Conclusion Endovascular aortic repair under DSA for TBAD can reduce inflammatory response,improve liver and kidney functions and coagulation function,and shorten the hospital stay,which has a better therapeutic effect than conservative drug treatment.

Objective To examine the anti-central-fatigue function of maca and its underlying mechanism.Methods Forty Sprague-Dawley rats were divided randomly into a negative control group,model control group,and low-,medium-,and high-dose maca groups(0.6,1.2,and 2.4 g/kg·body weight).Rats in all groups except the negative control group were subjected to multi-factor stimulation,including cold-water swimming,sleep deprivation,restraining,and tail-clamping,to establish central fatigue rat models.Rats in the low-,medium-,and high-dose maca groups received 0.6,1.2,or 2.4 g/kg maca,respectively,by gavage for 35 days.Behavioral testing was carried out using the Morris water-maze,sucrose-preference,and tail-suspension tests.Markers of oxidative stress in the hippocampus,including superoxide dismutase(SOD),malondialdehyde(MDA),and catalase(CAT),were detected using test kits.Proteins connected with the AMP-activated protein kinase(AMPK)/sirtuin 1(SIRT1)/peroxisome proliferator-activated receptor γ coactivator 1-α(PGC-1α)signaling pathway in the hippocampus were detected by Western blot.Results Rats in the low-,medium-,and high-dose maca groups spent significantly more time in the target quadrant compared with the model control group(P＜0.05 or P＜0.01),but there was no significant dose-effect relationship.Rats in the medium-and high-dose maca groups showed decreased escape latency(P＜0.05),increased time crossing the platform location(P＜0.05),increased sucrose preference(P＜0.05),decreased tail suspension time(P＜0.05),increased the activities of CAT(P＜0.01)and SOD(P＜0.05),and decreased MDA content(P＜0.01).Rats in the low-,medium-,and high-dose maca groups also showed significantly increased protein expression levels of AMPK and nuclear respiratory factor 1(P＜0.01 or P＜0.05),but no significant dose-effect relationship was observed.Rats in the medium-and high-dose maca groups showed increased protein expression of PGC-1α(P＜0.05 or P＜0.01),and rats in the high-dose maca group showed increased protein expression of SIRT1 and mitochondrial transcription factor A(P＜0.05 or P＜0.01).Conclusions Maca can improve the indicators of central fatigue in rats,determined by behavioral testing and oxidative stress-related factors.The underlying mechanism may be related to its regulatory effects on the AMPK/SIRT1/PGC-1α signaling pathway.

Objective This study aimed to develop an automated method for syndrome element differenti-ation in Traditional Chinese Medicine(TCM).Methods We first constructed and trained an Instruction-tuned Multi-Task TCM text embedding model(Instr-MT-TCM)using four distinct TCM task datasets,including domain knowledge,synonymous terminology,syndrome differentiation and treatment,and TCM case labels.Subsequently,five TCM diagnostics experts holding master's degrees or higher were organized to screen a real-world TCM case dataset and annotate symptoms and signs.The purpose was to evaluate the F1-score of the proposed method—the combination of Instr-MT-TCM and a Large Language Model(LLM)—by comparing its performance against the manual annotation result on the syndrome element differentiation task.Finally,to validate its feasibility in real-world clinical settings,the method was applied to 48 prostate cancer cases to calculate the syndrome element scores.Results The Instr-MT-TCM model showed rapid performance improvement in its early training phase,achieving a Recall@1(R@1)of 0.848.Experts curated a dataset of 1,793 real-world clinical cases,covering 34 common diseases and 66 syndrome patterns.In the syndrome element differentiation task,the collaborative framework of LLM and Instr-MT-TCM achieved a mean F1-score of 0.927,outperforming the 0.512 from manual annota-tion.The syndrome element analysis revealed that the predominant elements of disease nature were fire(heat)and yin deficiency,while the main elements of disease location were bladder and kidney.Conclusion This study proposes and validates a novel method for automated TCM syndrome element dif-ferentiation based on the synergy between LLM and our custom Instr-MT-TCM model.Achieving a high F1-score(0.927)on real-world data,the method demonstrates excellent accuracy and generalization ability.Its application in prostate cancer analysis highlights its significant clinical potential,offering effective technical support,and a new research direction for intelligent TCM syndrome element differentiation.

Objective To construct a risk prediction model for atherosclerosis(AS)in patients with rheumatoid arthritis(RA)based on Lasso-Logistic regression analysis and provide a scientific basis for individualized clinical intervention.Methods The retrospective clinical data were collected from 344 RA patients,including 86 patients with AS(RA+AS group)and 258 patients with without AS(RA group).The clinical characteristics and initial laboratory test results were compared between the two groups.Lasso regression was used to screen the key predictive variables,and Logistic regression was combined to construct the prediction mode.The discrimination of the model was evaluated through the receiver operating characteristic(ROC)curve and the area under the curve(AUC).The Hosmer-Lemeshow test was used to assess the calibration,and decision curve analysis was used to verify the clinical applicability of the model.Results Seven predictive variables were identified including RA disease duration,DAS28 score,C-reactive protein(CRP),triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),fasting blood glucose(FBG)and hypertension.The risk prediction model for AS in RA patients was:Logit(P)=-2.674+0.605×RA disease duration+0.393×DAS28 score+0.310×CRP+1.346×TG-2.289×HDL-C+0.679×FBG+0.711×hypertension.The AUC of the model was 0.965(95%CI:0.943-0.987),and the Hosmer-Lemeshow test showed χ2=0.547,P=1.000,indicating good discrimination and calibration.Clinical decision curve analysis showed that the probability threshold ranged from 7%to 92%,demonstrating high clinical applicability.Conclusion The AS risk prediction model constructed in this study for RA patients can effectively identify high-risk individuals,supporting the development of personalized prevention and treatment strategies.