1.Five-year survival analysis and influencing factors of elderly lung cancer patients with chronic obstructive pulmonary disease in Mianyang City
Haishi XUE ; Ling HUANG ; Junjie XIA ; Yu QIU ; Ke GE ; Jincheng WANG ; Yuting CHEN ; Runjiao CHEN ; Lingna LI ; An LAN ; Yan HOU
Journal of Public Health and Preventive Medicine 2026;37(1):138-141
Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.
2.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
3.Correlation Analysis of Huanglian Jiedu Wan on Syndrome Improvement and Clinical Biomarkers of "Excess Heat-Toxicity" Based on Machine Learning Model
Qi LI ; Keke LUO ; Baolin BIAN ; Hongyu YU ; Mengxiao WANG ; Mengyao TIAN ; Wen XIA ; Yuan MA ; Xinfang ZHANG ; Pengyue LI ; Nan SI ; Hongjie WANG ; Yanyan ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):162-173
ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally, the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome, such as oral ulcers, sore throat, and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation, oxidative stress, and energy metabolism in the early phase, Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting (XGBoost) algorithm was used to develop a prediction model for main symptom classification, with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers, sore throat, and overall symptoms, with significant effects observed especially in sore throat and overall symptom analyses (P<0.01). Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement, were also called "heat-related biomarkers", including succinic acid, α-ketoglutaric acid, glycine, lactic acid, adenosine monophosphate (AMP), tumor necrosis factor-α (TNF-α), interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-4 (IL-4), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and so on. Conversely, clinical biomarkers negatively correlated with symptom severity, were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan, including malic acid, fumaric acid, cis-aconitic acid, adrenocorticotropic hormone (ACTH), IL-1β, IL-4, IL-8, succinic acid, and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables, with importance scores of 0.081 and 0.080, respectively. After screening out 14 key variables and optimizing the parameters, model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables, confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established, achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.
4.Ameliorative effect and mechanism of vitexin on inflammation in ulcerative colitis mice
Lin ZHOU ; Pengfei XIA ; Yuling LIU ; Zhichao MENG ; Geng LI ; Yuanyuan YU
China Pharmacy 2026;37(6):758-763
OBJECTIVE To explore the ameliorative effect and potential mechanism of vitexin on inflammation in ulcerative colitis (UC) mice. METHODS The UC mice model was established by continuous administration of 3% dextran sulfate sodium solution for 5 days. Mice with successful modeling were randomly divided into UC group, vitexin low- and high-dose groups (vitexin-L and vitexin-H groups, 40, 80 mg/kg), mesalazine group (400 mg/kg), and vitexin-H+recombinant Jagged canonical Notch ligand 1 (rJagged-1) group (vitexin-H+rJagged-1 group, 80 mg/kg vitexin+1 mg/kg rJagged-1), with 12 mice in each group. Another 12 normal mice were used as the control (CK) group. Mice in each group were administered the corresponding drugs or the corresponding drugs and normal saline by gavage and intraperitoneal injection once daily for 7 consecutive days. General conditions were observed during the experiment. At 24 h after the last administration, the disease activity index (DAI) score was evaluated. Colonic histopathological morphology was observed and scored. Macrophage polarization levels in the spleen and colon tissues were measured. The protein expressions of interleukin-6 (IL-6), IL-10, tumor necrosis factor-α (TNF-α), transforming growth factor-β 1 (TGF-β 1 ), Jagged-1, Notch1 and Notch intracellular domain (NICD) in colonic tissues were determined. RESULTS Compared with the UC group, the symptoms (reduced food and water intake, dull fur, etc.) and pathological changes (epithelial cell shedding, inflammatory cell infiltration, etc.) were significantly improved in the vitexin-L, vitexin-H and mesalazine groups. DAI scores, colonic histopathological scores, M1 macrophage contents in spleen tissue, M1/M2 macrophage ratios, M1 macrophage proportions in colon tissue, and protein expressions of IL-6, TNF-α, Jagged-1, Notch1 and NICD in colon tissue were significantly decreased ( P <0.05). Meanwhile, the M2 macrophage contents in spleen tissue, M2 macrophage proportions in colon tissue, and protein expressions of IL-10 and TGF-β 1 in colon tissue were significantly increased ( P <0.05). Moreover, the improvement effects in the vitexin-H and mesalazine groups were significantly superior to those in the vitexin-L group ( P <0.05). Compared with the vitexin-H group, the above symptoms and pathological changes were aggravated, and all quantitative indicators were significantly reversed in the vitexin-H+rJagged-1 group ( P <0.05). CONCLUSIONS Vitexin can ameliorate the inflammation of UC mice, which is associated with its inhibition of the Jagged-1/Notch1 pathway and regulation of macrophage polarization (inhibition of M1-type polarization and promotion of M2-type polarization).
5.Effect of Microorganisms on The Spoilage of Donkey Hides From Different Regions
Meng ZHANG ; Qiu-Mei LI ; Jia-Wei KANG ; Jie YU ; Xia LI ; Yue YU
Progress in Biochemistry and Biophysics 2026;53(3):754-766
ObjectiveDonkey hide is the sole legally designated raw material for the preparation of the traditional Chinese medicine Ejiao. The quality stability of donkey hide during preservation directly determines the efficacy and safety of Ejiao. This study focuses on the dynamic succession of microbial communities during the preservation of donkey hides from different origins, aiming to clarify the correlation between microbial biodiversity difference and the degradation profiles of hide collagen and critical biochemical components, thereby providing a theoretical foundation for developing targeted preservation strategies based on microbial regulation. MethodsDonkey hides originating from four different regions were subjected to an accelerated microbial aging assay to simulate the spoilage process. The microbial community succession was analyzed using high-throughput sequencing. Microstructure changes and pore structure characteristics were assessed by scanning electron microscopy and mercury intrusion porosimetry, respectively. Additionally, the content of major components, including lipids, proteins, and sugars were determined by biochemical methods. ResultsAfter 96 h of aging, the collagen fiber structure in Africa donkey hides (ADH) exhibited significant degradation and collapse, followed by Xinjiang donkey hides (XDH). Instead, the microstructure of Dong’e black donkey hides (DDH) and Peru donkey hides (PDH) remained relatively intact. The porosities of DDH, XDH, PDH, and ADH increased from 27.9%, 15.7%, 30.3%, and 46.2% to 36.5%, 52.6%, 42.8%, and 57.7%, respectively, during the aging process, which suggested that the originally compact fiber structure was disrupted by microbial aging. Fourier transform infrared spectrometer analysis revealed the amide bands in XDH exhibited relatively weak intensity, and no collagen amide I band was observed in ADH. Meanwhile, the lipid and protein contents decreased in all four types of donkey hides, indicating that these components served as the primary nutrient sources for the growth of microorganism. Notably, the most severe collagen degradation was observed in XDH and ADH. A substantial increase was detected in the total soluble sugar in PDH aging solution and hydroxyproline in the ADH aging solution, respectively. These results indicated that donkey hides exhibit distinct patterns of structural degradation and nutrient utilization. Furthermore, the viable cells number of donkey hides increased sharply after 48 h of aging. Metagenomic analysis revealed that the relative abundance of Euryarchaeota in ADH, PDH and XDH declining from initial 93.19%, 97.73% and 30.08% to 0.79%, 1.43% and 0.02% after 96 h, respectively. Conversely, a significantly increase was observed in the abundance of Bacillota, with a marked increase in ADH, peaking at 92.75%. Additionally, the abundance of Pseudomonadota in PDH increased from 0.10% to 87.84%, suggesting that Bacillota and Pseudomonadota may be key factors exacerbating donkey hide spoilage. Unlike the other three types of donkey hides, the dominant bacterial phylum in DDH shifted from Pseudomonadota to Bacteroidota, characterized by a substantial abundance increase of Bacteroidota from 0.13% to 44.22%. ConclusionRegional variation in origin significantly influence the microbial aging of donkey hides, leading to distinct patterns of structural deterioration and differential nutrient utilization. Therefore, implementing origin-specific preservation strategies, through the precisely controlling environmental factors to suppress harmful phyla such as Bacillota and Pseudomonadota, is crucial for enhancing the storage quality of donkey hides.
6.Effect of Yang-Reinforcing and Blood-Activating Therapy on the Long-Term Prognosis for Dilated Cardio-myopathy Patients with Yang Deficiency and Blood Stasis Syndrome:A Retrospective Cohort Study
Shiyi TAO ; Jun LI ; Lintong YU ; Ji WU ; Yuqing TAN ; Xiao XIA ; Fuyuan ZHANG ; Tiantian XUE ; Xuanchun HUANG
Journal of Traditional Chinese Medicine 2026;67(1):53-59
ObjectiveTo evaluate the impact of yang-reinforcing and blood-activating therapy on the long-term prognosis for patients with dilated cardiomyopathy (DCM) of yang deficiency and blood stasis syndrome. MethodsA retrospective cohort study was conducted involving 371 DCM patients with yang deficiency and blood stasis syndrome. The yang-reinforcing and blood-activating therapy was defined as the exposure factor. Patients were categorized into exposure group (186 cases) and non-exposure group (185 cases) according to whether they received yang-reinforcing and blood-activating therapy combined with conventional western medicine for 6 months or longer. The follow-up period was set at 48 months, and the Kaplan-Meier survival analysis was used to assess the cumulative incidence of major adverse cardiovascular events (MACE) in both groups. Cox regression analysis was used to explore the impact of yang-reinforcing and blood-activating therapy on the risk of MACE, and subgroup analysis was performed. Changes in traditional Chinese medicine (TCM) syndrome score, left ventricular ejection fraction (LVEF), left ventricular fractional shortening (LVFS), left ventricular end-diastolic diameter (LVEDD), and Minnesota Living with Heart Failure Questionnaire (MLHFQ) score were compared between groups at the time of first combined use of yang-reinforcing and blood-activating therapy (before treatment) and 1 year after receiving the therapy (after treatment). ResultsMACE occurred in 31 cases (16.67%) in the exposure group and 47 cases (25.41%) in the non-exposure group. The cumulative incidence of MACE in the exposure group was significantly lower than that in the non-exposure group [HR=0.559, 95%CI(0.361,0.895), P=0.014]. Cox regression analysis showed that yang-reinforcing and blood-activating therapy was an independent factor for reducing the risk of MACE in DCM patients [HR=0.623, 95%CI(0.396,0.980), P=0.041], and consistent results were observed in different subgroups. Compared with pre-treatment, the exposure group showed decreased TCM syndrome score and MLHFQ score, reduced LVEDD, and increased LVEF and LVFS after treatment (P<0.05); in the non-exposure group, TCM syndrome score decreased, LVEF and LVFS increased, and LVEDD reduced after treatment (P<0.05). After treatment, the exposure group had higher LVEF and LVFS, smaller LVEDD, and lower TCM syndrome score and MLHFQ score compared with the non-exposure group (P<0.05). ConclusionCombining yang-reinforcing and blood-activating therapy with conventional western medicine can reduce the risk of MACE in DCM patients with yang deficiency and blood stasis syndrome, meanwhile improving their clinical symptoms, cardiac function, and quality of life.
7.Establishment of in vitro biological activity evaluation system for OTULIN
Zhewei XIA ; Yu LI ; Chunquan SHENG
Journal of Pharmaceutical Practice and Service 2026;44(5):259-263
Objective To establish an in vitro enzymatic activity evaluation system for OTULIN (OTU domain DUB with linear linkage specificity)and provide an experimental basis for OTULIN inhibitor screening. Methods The linear ubiquitin substrate protein His-Ub-Ub-Flag was designed, expressed, and purified. Using OTULIN80-352 as the target enzyme and PR619 as a positive control, the enzyme-to-substrate ratio and reaction time were optimized to establish an in vitro OTULIN activity evaluation system. Results The linear ubiquitin substrate protein His-Ub-Ub-Flag was successfully obtained. OTULIN activity was significantly inhibited by PR619, which confirmed the feasibility of the assay. The optimal enzyme-to-substrate ratio of OTULIN80-352 to His-Ub-Ub-Flag was 1∶16, and the optimal reaction condition was incubation at 37℃ for 20 min. Conclusion An in vitro enzymatic activity evaluation system for OTULIN was successfully established, which could be used to evaluate the inhibitory effects of candidate compounds on OTULIN activity and provide technical support for subsequent screening of OTULIN small-molecule inhibitors.
8.Asia-Pacific consensus statement on medication-related osteonecrosis of the jaw in patients with osteoporosis
Akira TAGUCHI ; Daisuke INOUE ; Jin-Woo KIM ; Keskanya KESKANYA ; Wai Sin CHAN ; Hee Dong CHAE ; Chung-Hwan CHEN ; Ching-Lung CHEUNG ; Eddie Siu Lun CHOW ; Yoon-Sok CHUNG ; Linsey GANI ; Muhammad Kamil BIN HASSAN ; Unnop JAISAMRARN ; Chakorn VORAKULPIPAT ; Nutchada SRIYARANYA ; Aasis UNNANUNTANA ; Tanawat AMPHANSAP ; Seng Bin ANG ; Fen Lee HEW ; Julie LI-YU ; Terence Ong Ing WEI ; Jeyakantha JEYAKANTHA ; Mark Anthony SANDOVAL ; Thawee SONGPATANASILP ; Monica Therese CATING-CABRAL ; Thanut VALLEENUKUL ; Lalita WATTANACHANYA ; Chih-Hsing CHIH-HSING ; Weibo XIA ; Jawl-Shan HWANG ; Hiroshi HAGINO ; Natthinee CHARATCHAROENWITTHAYA
Osteoporosis and Sarcopenia 2026;12(1):1-17
A unified consensus statement on medication-related osteonecrosis of the jaw (MRONJ) has not yet been established among the Asian member countries or regions of the Asian Federation of Osteoporosis Societies (AFOS). This study aimed to develop a consensus on MRONJ in patients with osteoporosis across these countries and regions. In this study, the term “Asia-Pacific” refers specifically to the Asian member countries and regions of AFOS. A structured survey consisting of nine MRONJ-related questions was distributed across 10 countries and regions to assess the level of agreement and summarize regional perspectives. In addition, a manual literature review and voting were conducted to evaluate the current evidence on MRONJ. The key aspects of MRONJ, including definition, staging, diagnosis, pathogenesis, risk factors, management, and prevention, were generally consistent among the AFOS countries and regions. The annual incidence and incidence rate of MRONJ associated with low-dose antiresorptive therapy in patients with osteoporosis ranged from 0.025% to 0.136% and 21 to 283 cases per 100,000 person-years, respectively. However, evidence regarding the benefits of drug discontinuation before dental surgery, such as tooth extraction, remains insufficient. Large-scale, multinational studies across AFOS countries and regions are warranted to determine the incidence of MRONJ better and evaluate the impact of antiresorptive drug discontinuation before dental procedures. These findings may contribute to the devel opment of effective evidence-based strategies for preventing MRONJ in patients with osteoporosis.
9.Prevalence and influencing factors of suspected sarcopenia among community-dwelling elderly patients with type 2 diabetes in Changning District, Shanghai
Xia LI ; Zhenping LU ; Dong CHEN ; Hua YANG ; Yu JIANG
Shanghai Journal of Preventive Medicine 2026;38(5):344-349
ObjectiveTo conduct sarcopenia-related screening and assessment among community-dwelling elderly patients with type 2 diabetes mellitus (T2DM) in Changning District of Shanghai, to analyze the current status and influencing factors of suspected sarcopenia in this population, and to provide references for the early prevention and treatment of sarcopenia. MethodsUsing a stratified random sampling method, elderly T2DM patients under management in the Chronic Disease Health Management System of Changning District in Shanghai were selected as the study subjects. Patients were screened for sarcopenia and underwent related health examinations according to the Chinese Expert Consensus on Diagnosis and Treatment of Sarcopenia in the Elderly (2021). Self-designed questionnaires were used to collect basic information, lifestyle habits and health status, and the Montreal Cognitive Assessment (MoCA) was employed to evaluate cognitive function. ResultsAmong 758 elderly patients with T2DM [average age: (72.19±6.19) years old], 214 patients were identified as having suspected sarcopenia,accounting for 28.23%. The proportion of suspected sarcopenia was higher in females (30.94%) than in males (24.08%) (χ²=4.20, P=0.040), and higher in older patients (χ²=22.26, P<0.001). Higher proportions of suspected sarcopenia were also observed among patients who followed a vegetarian diet (39.77%) (χ²=73.28, P=0.011), had diabetic foot (59.09%) (χ²=10.65, P=0.001), reported feeling fatigued most of the time (37.11%) (χ²=4.33, P=0.037), or had mild cognitive impairment (χ²=3.95, P=0.047). The duration of T2DM in the suspected sarcopenia group [(12.86±10.07) years old] was longer than that in the non-sarcopenia group [(9.73±8.63) years old] (t=3.79, P<0.001), and the average body mass index (BMI) in the suspected sarcopenia group [(22.17±2.45) kg⋅m-²)] was lower than that in the non-sarcopenia group [(25.11±3.26) kg⋅m-²)] (t=-11.41, P<0.001). Multivariate logistic regression analyses showed that older age (OR=1.08, 95%CI:1.047‒1.110) and longer duration of T2DM (OR=1.02, 95%CI:1.005‒1.043) were associated with a higher risk of suspected sarcopenia in elderly T2DM patients. Female elderly T2DM patients had a higher risk of suspected sarcopenia (OR=1.89, 95%CI:1.310‒2.733) than males, and those with diabetic foot (OR=3.66, 95%CI:1.341‒9.990) had a higher risk than those without diabetic foot. ConclusionThe proportion of elderly T2DM patients with suspected sarcopenia was relatively high. In community-based integrated health management, healthcare providers should pay more attention to elderly T2DM patients who are older, have longer disease duration, are female, or have diabetic foot, so as to identify risks early and implement targeted comprehensive interventions and health management.
10.The Neural Circuit Characteristics of Repetitive Transcranial Magnetic Stimulation Over The Dorsolateral Prefrontal Cortex for The Treatment of Migraine
Chen-Xia JIN ; Bo-Lin TAN ; Yang YE ; Ji-Qing HE ; Ling-Yan WANG ; Zhong-Ming GAO ; Yu-Jun WANG ; Hui-Li LIU ; Yong-Xing YAN ; Xian-Wei CHE
Progress in Biochemistry and Biophysics 2026;53(7):1953-1968
ObjectiveMigraine is a leading neurological disorder and the fourth most common cause of years lived with disability worldwide, affecting nearly 116 million individuals. Although pharmacological treatments are available, their efficacy is often limited by side effects and variable response rates. Repetitive transcranial magnetic stimulation (rTMS) over the dorsolateral prefrontal cortex (DLPFC) offers a safe, non-invasive alternative for migraine management. However, the neurophysiological mechanisms, particularly how rTMS modulates local cortical excitability and distributed pain-related circuits, remain poorly understood. Elucidating these mechanisms is essential for optimizing treatment protocols and improving clinical outcomes. MethodsThis study employed concurrent transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate neuroplastic and neurocircuitry mechanisms of DLPFC-rTMS in migraine. Study 1 compared 30 migraineurs and 28 healthy controls to identify abnormalities in TMS-evoked potentials (TEPs) and significant current density (SCD) within sensory-discriminative regions including the primary somatosensory cortex (S1) and posterior insula (pINS), cognitive-affective regions including the anterior insula (aINS) and midcingulate cortex (MCC), and a descending modulatory region, the periaqueductal gray (PAG). Study 2 used a single-blind, crossover, sham-controlled design in 34 healthy participants. Each participant received both active (10 Hz, 80% RMT, 1 500 pulses) and sham DLPFC-rTMS in counterbalanced order. TMS-EEG and cold pain tolerance were assessed before and after each session. ResultsIn Study 1, migraineurs showed a significantly less negative N120 amplitude compared to healthy controls (P=0.027, Cohen’s d=0.60), indicating local intracortical disinhibition. No group differences were observed for N40, P60, or P180 components. At the source level, migraineurs exhibited significantly higher SCD in the S1, pINS, aINS, and MCC (allQ<0.05), but not in the ventroposterior thalamus (vpTHAL), mediodorsal thalamus (mdTHAL), or PAG. In Study 2, active rTMS significantly reduced SCD from pre- to post-stimulation in the S1, aINS, and MCC (all Q<0.05). Sham stimulation also reduced SCD in the S1 (Q<0.05) but not in the aINS or MCC. Although no significant group-level analgesic effect was observed between active and sham conditions (P=0.107), correlation analyses revealed that greater SCD reductions in the S1 and MCC were significantly associated with higher post-rTMS pain tolerance (R=-0.487 and -0.495, both Q<0.01) and larger improvements in pain tolerance(R=-0.487 and -0.451, both Q<0.05). No such correlations were found following sham stimulation, suggesting that the behavioural relevance of neural changes is specific to active rTMS. ConclusionThis study provides novel evidence that migraineurs exhibit both local neuroplastic abnormalities (reduced N120 amplitude) and hyperactivity in key pain-processing regions (S1, pINS, aINS, MCC). A single session of DLPFC-rTMS reduced hyperactivity in the aINS, MCC, and S1. Notably, greater reductions in the S1 and MCC were associated with improved pain tolerance. These findings identify distinct cortical circuitries, particularly within the cognitive-affective pain network, that may serve as potential biomarkers for optimizing rTMS treatment in migraine and other chronic pain conditions. Future studies should validate these results in patient populations experiencing spontaneous migraine attacks and explore multi-session or accelerated rTMS protocols.


Result Analysis
Print
Save
E-mail