Objective To explore the association between phase angle(PhA)and sarcopenia in middle-aged and elderly patients with type 2 diabetes mellitus(T2DM),and to evaluate its predictive value for the risk of sarcopenia in these patients.Methods We collected data from 356 middle-aged and elderly T2DM patients hospitalized in the Department of Endocrinology,Nanjing Drum Tower Hospital Group Suqian Hospital from March 2022 to June 2024,including 274 patients with diabetes only and 82 patients with T2DM combined with sarcopenia.A Logistic regression analysis was conducted to assess the relationship between phase angle and sarcopenia.The predictive value of PhA for sarcopenia in T2DM patients was analyzed using the receiver operating characteristic(ROC)curve,and the trend of PhA with the severity of sarcopenia in T2DM patients was tested by the Jonckheere-Terpstra method.Results Univariate analysis showed that the PhA value in the T2DM with sarcopenia group was significantly lower than that in the diabetes alone group,with a statistically significant difference(P<0.05).Additionally,height,body mass,body mass index(BMI),waist circumference,arm circumference,calf circumference,fasting insulin,postprandial 2 h insulin,fasting C-peptide,postprandial 2 h C-peptide,triglycerides,albumin,blood urea nitrogen,body composition indicators,6 m walking speed,muscle mass,and muscle strength-related indicators were significantly lower in the T2DM with sarcopenia group compared to the diabetes alone group.Age,duration of diabetes,glycated hemoglobin,25-hydroxyvitamin D[25-(OH)D]were significantly higher in the T2DM with sarcopenia group,with statistically significant differences(P<0.05).Multivariate Logistic regression analysis indicated that,after adjusting for other factors,PhA remained associated with sarcopenia in T2DM patients(P<0.05),with a decreased PhA increasing the risk of sarcopenia.ROC curve analysis showed that the area under the curve(AUC)for PhA predicting sarcopenia in T2DM patients was 0.769(95% CI:0.710-0.829),indicating the predictive efficacy of PhA.Trend analysis demonstrated a significant negative correlation between PhA and the severity of sarcopenia in T2DM patients(P<0.05).Conclusion The PhA is significantly associated with sarcopenia in patients with T2DM.It can serve as an early predictive and diagnostic tool for sarcopenia in individuals with T2DM.

Objective To explore the association between mid-upper arm circumference(MUAC)and sarcopenia in middle-aged and elderly patients with type 2 diabetes mellitus(T2DM).Methods A total of 402 middle-aged and elderly patients with T2DM admitted to Nanjing Drum Tower Hospital Group Suqian Hospital from March 2022 to October 2024 were selected.Among them,308 patients with simple diabetes mellitus were included in non-sarcopenia group,and 94 patients with combined sarcopenia were included in sarcopenia group.Multivariate Logistic regression analysis was used to determine the association between MU AC and sarcopenia in middle-aged and elderly patients with T2DM.The predictive ability of MUAC for sarcopenia in middle-aged and elderly patients with T2DM was evaluated by using the receiver operating characteristic curve.Results There were statistically significant differences in age,body mass index,MUAC,triglycerides,direct bilirubin,alanine aminotransferase,aspartate aminotransferase,appendicular skeletal muscle mass,appendicular skeletal muscle mass index,grip strength and 6-meter walking speed between two groups of patients(P＜0.05).The results of multivariate Logistic regression showed that a smaller MUAC and increased age were both risk factors for sarcopenia in middle-aged and elderly patients with T2DM(P＜0.05).The optimal cutoff value of MUAC for diagnosing sarcopenia in middle-aged and elderly patients with T2DM:27.90cm for males and 26.95cm for females.Conclusion MUAC is associated with sarcopenia in middle-aged and elderly patients with T2DM and can be used for the early identification and diagnosis of middle-aged and elderly T2DM patients with sarcopenia.

BACKGROUND:Hydroxy safflower yellow A has anti-ischemia,anti-oxidation,anti-thrombotic and anti-inflammatory effects.Whether it affects neuronal pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation is still unclear. OBJECTIVE:To investigate the protective effect of hydroxy safflower yellow A on neuronal pyroptosis and its mechanism. METHODS:HT22 cells in logarithmic growth phase were randomly divided into five groups:normal group,model group,hydroxy safflower yellow A group,colivelin group,and colivelin+hydroxy safflower yellow A group.HT22 cells were treated with glucose-oxygen deprivation/reglucose-reoxygenation to establish neuronal pyroptosis model,and then treated with STAT3 agonist Colivelin and hydroxy safflower yellow A.JC-1 probe was employed to assess changes in mitochondrial membrane potential.Reactive oxygen species kit was used to determine the content of reactive oxygen species in cells.GSDMD/TUNEL staining was conducted to observe cell pyroptosis.Immunofluorescence analysis was performed to detect STAT3 and GSDMD protein expression.RT-PCR was utilized for assessing mRNA expression levels of STAT3,NLRP3,and Caspase-1.Western blot assay was utilized to measure the protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β. RESULTS AND CONCLUSION:(1)Compared with the normal group,the number of pyroptotic cells increased in HT22 cells in the model group along with a significant increase in protein expression levels of p-STAT3,NLRP3,Cleaved-caspase-1,GSDMD,and interleukin-1β.Compared with the model group,the number of pyroptotic cells reduced,and the expression of pyroptosis-related proteins significantly decreased in the hydroxy safflower yellow A group.(2)In comparison with the model group,pyroptosis worsened in the colivelin group where mitochondrial membrane potential decreased along with elevated reactive oxygen species content and increased mRNA expression levels of STAT3,NLRP3,and Caspase-1,as well as increased protein expression levels of p-STAT3,NLRP3,GSDMD,Cleaved-caspase-1,and interleukin-1β.Compared with the Colivelin group,above indexes were improved in the colivelin+hydroxy safflower yellow A group.These results suggest that hydroxy safflower yellow A plays a neuroprotective role through STAT3 signaling pathway to inhibit HT22 pyroptosis after glucose-oxygen deprivation/reglucose-reoxygenation treatment.

Objective To discuss the factors influencing the occurrence of frailty in patients with acute myocardial infarction(AMI)after receiving interventional treatment,and to construct a prediction model,to draw a nomogram,and to make the validation of the model.Methods Using convenient sampling method,a total of 462 patients with AMI,who were admitted to the Department of Cardiovascular Medicine of three Grade Ⅲ-A hospitals in Shandong Province of China from July 2023 to January 2024,were selected as the study subjects.Among them,324 AMI patients encountered from July 2023 to November 2023 were selected as modeling group,and logistic regression was used to construct a risk prediction model and draw a nomogram to visualize the model.The remaining 138 AMI patients encountered from December 2023 to January 2024 were used as the validation group.The receiver operating characteristic(ROC)curve and Hosmer-Lemeshow testing were adopted to verify the predictive effect of the model.Results Of 324 patients in the modeling group,170(52.47％)developed frailty.Univariate analysis showed that significant differences in age,education level,body mass index(BMI),Charlson comorbidity index,grip strength,walking speed,brain natriuretic peptide precursor level,physical exercise,multiple medication,and kinesophobia existed between the two groups(all P＜0.05).Multivariate logistic regression analysis revealed that age,BMI,Charlson comorbidity index,grip strength,walking speed,NT-ProBNP precursor level,physical exercise,multiple medication,and kinesophobia were the influencing factors of frailty in patients with AMI after receiving interventional treatment,with an OR value of 1.061,0.630,1.529,0.931,0.005,0.358,1.783,2.929,and 0.497 respectively.The above nine factors were used as independent variables to draw the nomogram,the area under ROC curve of the model was 0.851(95％CI:0.809-0.892),the optimal critical value was 0.562,the sensitivity was 84.1％,and the specificity was 72.1％.Hosmer-Lemeshow goodness of fit testing showed that the model had anx2=12.957 and P=0.113.Conclusion The frailty condition of AMI patients after receiving interventional treatment is at a low to medium levels.The frailty risk prediction model constructed in this study has good prediction effect,which can provide guidance for clinical nurses to timely identify high-risk patients and to promptly adopt interventional measures.

Objective To explore the attentional network function in sub-healthy individuals with spleen qi deficiency syndrome.Methods Twenty-seven individuals in the sub-healthy spleen qi deficiency syndrome group were recruited from September 2022 to August 2024 in communities and colleges.Twenty-five healthy controls were also recruited according to the principle of matching age,gender,and years of education components.Attention network tests were performed on subjects in both groups.Results Compared with the control group,the executive control network function value of the spleen qi deficiency syndrome group was significantly decreased(P=0.012).The differences in correct rate,overall reaction time,alert network and orientation network between the two groups were not statistically significant(P＞0.05).The results of correlation analysis showed a significant negative correlation between Health Evaluating Questionnaire H20 V2009 scores and executive control network efficiency of the subjects in the spleen qi deficiency syndrome(P＜0.001),and a positive correlation between the spleen qi deficiency syndrome score and executive control network efficiency(P=0.038).Conclusions Abnormal changes in the executive control of attention in sub-healthy subjects with spleen qi deficiency syndrome were closely related to the severity of the symptoms of spleen qi deficiency,which provided further scientific evidence for the cognitive psychological connotation of the theory of"spleen stores Yi".

Objective To characterize working memory performance in patients with chronic fatigue syndrome(CFS)and spleen-deficiency syndrome and to examine its associations with clinical symptoms by Sternberg working memory task(SWMT).Methods 31 CFS patients meeting both CDC-1994 criteria and consensus criteria for spleen-deficiency pattern were recruited from outpatient clinics and universities from September 2022 and June 2025.31 healthy controls were also recruited based on age,sex,and education.All subjects completed the SWMT.Group differences were analyzed.Within the CFS cohort,reaction time(RT)was correlated with scores on the checklist individual strength(CIS),36-item short-form health survey(sf-36),and fatigue scale-14(FS-14).Mediation was examined.Results RT lengthened with increasing memory load in both groups.CFS patients displayed slower RTs than controls in the baseline and 6-digit set(P<0.05).The 3-digit RT difference,though not significant(P>0.05),yielded a medium effect size(r=0.36).Accuracy did not differ between two groups.Among CFS patients,3-digit RT correlated positively with CIS total and the 4 sub-scale scores.6-digit RT correlated with the SF-36 health-transition dimension(r=0.396,P=0.027).CIS and FS-14 scores directly impaired SF-36 social functioning without working-memory mediating.Conclusion CFS patients with spleen-deficiency exhibit slowed processing speed rather than capacity loss.The close link between working-memory slowing and fatigue suggests a distinct neural basis.These results support the traditional concept"the spleen stores Yi"and integrate TCM pattern differentiation with modern cognitive neuroscience in CFS.

Objective To build the machine learning classification model for sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome based on degree centrality characteristics.Methods A total of 80 sub-healthy subjects were included,including 40 subhealth patients with spleen qi de ficiency syndrome and 40 subhealth patients with kidney qi deficiency syndrome were enrolled and underwent resting-state functional magnetic resonance imaging scans.The DPABI software was used to extract the degree centrality characteristics of all subjects,and a random forest model was used for classification.Results Between the sub-health spleen qi deficiency syndrome group and the sub-health kidney qi deficiency syndrome group,after feature selection,10 degree centrality features were finally obtained:The supplementary eye field,posterior cingulate gyrus,MT+area,pre-supramarginal sulcus,ventromedial visual area,secondary visual cortex,supramarginal sulcus,precuneus,ventral supramarginal gyrus complex and dorsolateral prefrontal cortex.Following hyperparameter optimization and leave-one-out cross-validation,a random forest classification model was obtained with an accuracy rate of 0.71.Conclusion The significant changes in the centrality of brain regions such as the supplementary eye field and posterior cingulate gyrus may be key brain regions underlying the neural mechanism differences between subhealth spleen qi deficiency syndrome and kidney qi deficiency syndrome,providing neuroimaging evidence for the cognitive neural basis differences in traditional Chinese medicine theories of"spleen in storing idea"and"kidney storing will".

Objective To explore the neuroimaging mechanisms of sub-health patients with spleen qi deficiency syndrome based on large-scale brain network resting-state functional connectivity.Methods Thirty-seven sub-health patients with spleen qi deficiency syndrome and 37 healthy controls were enrolled.All subjects underwent resting-state functional magnetic resonance imaging(fMRI)scans.Functional connectivity within and between large-scale brain networks was analyzed and compared between the two groups.The correlation between abnormal changes in brain network functional connectivity in the sub-health spleen qi deficiency syndrome group and spleen qi deficiency syndrome scores was also analyzed.Results Compared with the healthy control group,the sub-health spleen deficiency syndrome group showed significantly reduced functional connectivity within and between brain networks,including the visual network,sensorimotor network,dorsal attention network,frontoparietal network,and default mode network(P<0.05,NBS correction,5000 permutations).Among these,the functional connectivity between the sensorimotor network and the frontoparietal network(r=-0.357,P=0.030)and between the dorsal attention network and the frontoparietal network(r=-0.360,P=0.029)showed a significant negative correlation with the spleen qi deficiency syndrome score.Conclusion Abnormal changes in functional connectivity within and between large-scale brain networks in sub-health patients with spleen deficiency syndrome provide further neuroimaging evidence for the cognitive psychological connotation of the"spleen in storing idea"theory.

Objective To explore the neuroimaging mechanisms of cognitive impairment in sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome using independent component analysis.Methods 40 sub-health patients with spleen qi deficiency syndrome and 40 kidney qi deficiency syndrome were recruited.All subjects underwent repeated neuropsychological testing and resting-state functional magnetic resonance imaging(fMRI)scans.Independent component analysis was used to compare functional connectivity differences between the two groups of subjects in the default mode network(DMN),frontoparietal network(FPN),dorsal attention network(DAN),and executive control network(ECN).The relationship between the differences in functional connectivity and cognitive function in the two groups of patients was also analyzed.Results In sub-health patients with spleen deficiency syndrome,the DMN included six brain regions,including the bilateral superior parietal lobule,left inferior occipital gyrus,and left lingual gyrus.The FPN included four brain regions,including the left superior parietal gyrus and the left caudate nucleus,the DAN included two brain regions,including the right superior temporal gyrus and the left medial frontal gyrus,and the ECN included the left central parietal lobule.The functional connectivity between the spleen qi deficiency syndrome symptom score and the left middle temporal gyrus and right superior temporal gyrus showed a significant positive correlation(r=0.371,P=0.028).In sub-health kidney qi deficiency syndrome patients,the DMN included six brain regions,including the left superior temporal gyrus,left precuneus,and right angular gyrus,the FPN included three brain regions,including the right middle temporal gyrus and right superior temporal gyrus,the DAN included four brain regions,including the right wedge lobe and the left medial frontal superior gyrus,and the ECN included the left central paracentral lobule and the right central posterior gyrus.Among these,the functional connectivity between the left wedge lobe and the left frontal middle gyrus showed a significant positive correlation with the syndrome score of kidney qi deficiency(r=0.404,P=0.016).Conclusion Sub-health patients with spleen qi deficiency syndrome and kidney qi deficiency syndrome exhibit different neuroimaging bases for cognitive impairment,providing neuroimaging evidence to elucidate the differences in the cognitive psychological connotation of the theories of"spleen in storing idea"and"kidney storing will".

Objective To investigate their potential differences in brain functional characteristics from a neuroimaging perspective,functional magnetic resonance imaging(fMRI)was employed.Methods Twenty chronic fatigue syndrome(CFS)patients were recruited and underwent assessments of traditional Chinese medicine(TCM)syndrome patterns,fatigue severity scores,and resting-state fMRI scans.First,correlation analysis was performed between fatigue scores and TCM symptom scores.Symptom clusters significantly associated with fatigue were categorized into spleen deficiency and liver stagnation groups.Principal component analysis(PCA)was then applied to identify the dominant symptom components for each group.These components were subsequently mapped onto whole-brain functional activity to compare the neural signatures between the two syndromes.Finally,the brain functional profiles of spleen deficiency and liver stagnation were compared with publicly available neurotransmitter receptor maps to explore their distinct neurochemical substrates.Results Symptoms correlated with fatigue severity included exhaustion,dizziness,chest tightness,bitter taste in the mouth,epigastric fullness,poor appetite,irritability,lumbar soreness,sallow complexion,dry eyes,and five-center-heat.The brain mapping results revealed that spleen deficiency-related symptoms(poor appetite,sallow complexion,reduced food intake,dizziness)were primarily associated with the left thalamus and left parahippocampal gyrus.Liver stagnation-related symptoms(dry eyes,chest tightness,irritability,bitter taste)were linked to the left parahippocampal gyrus and right middle occipital gyrus(lingual region).The functional brain spectrum of the two syndromes showed significant negative correlations.Moreover,the spleen deficiency spectrum was closely associated with vesicular acetylcholine transporter(VAChT)receptor density.The liver stagnation spectrum correlated with D2 dopamine receptor density.Both spectrums were significantly related to glucose metabolic density but exhibited opposing directional trends.Conclusion CFS patients with spleen deficiency and liver stagnation demonstrate distinct central functional activities and neurochemical substrates,along with opposing brain activity patterns.Clinically,differentiating between these two syndrome patterns is critical for applying targeted TCM interventions.