OBJECTIVES: Patients with connective tissue diseases (CTD) have a high incidence of cardiac involvement, which often presents insidiously and can progress rapidly, making it one of the leading causes of death. Multiparametric cardiovascular magnetic resonance (CMR) provides a comprehensive quantitative evaluation of myocardial injury and is emerging as a valuable tool for detecting cardiac involvement in CTD. This study aims to investigate the correlations between CMR features and serological biomarkers in CTD patients, assess their potential clinical value, and further explore the impact of pre-CMR immunotherapy intensity on CMR-specific parameters, thereby evaluating the role of CMR in the early diagnosis of CTD-related cardiac involvement. METHODS: A retrospective analysis was conducted on 72 consecutive CTD patients who underwent CMR at Xiangya Hospital of Central South University between September 2019 and March 2024. Clinical data, serological markers, and CMR parameters were collected. Differences in CMR parameters were compared between CTD patients with positive and negative serological markers. Correlations between serological biomarkers and CMR parameters were analyzed, with subgroup analyses performed for different CTD subtypes. Logistic regression (univariate and multivariate) was applied to explore the effects of pre-CMR immunotherapy intensity on CMR parameters, and receiver operating characteristic (ROC) curve analysis was used to determine cutoff values. RESULTS: In differential analyses, CTD patients with elevated interleukin (IL)-1β and IL-6 levels exhibited significantly higher myocardial T₂ values compared with those with normal levels (P=0.014, P=0.012). Elevated IL-10 was associated with a higher prevalence of microvascular lesions on CMR (P=0.038). Correlation analysis revealed a significant positive association between high-sensitivity cardiac troponin T (hs-cTnT) and T₂ values (r=0.371, P=0.009). ROC analysis indicated that when the hs-cTnT threshold was 0.01 ng/mL, the sensitivity and specificity for predicting elevated left ventricular T₂ values were 85.71% and 61.11%, respectively [area under the curve (AUC)=0.767, P=0.001]. hs-cTnT and creatine kinase (CK) were also positively correlated with native T₁ values (r=0.371, P=0.009; r=0.364, P=0.032). Erythrocyte sedimentation rate (ESR) showed a positive correlation with the percentage of the late gadolinium enhancement (LGE) (r=0.236, P=0.047). Conversely, hs-cTnT correlated negatively with global radial strain (GRS) (r=-0.297, P=0.034), while CK correlated negatively with both GRS and global circumferential strain (GCS) (r=-0.292, P=0.022; r=-0.282, P=0.027). Among patients with elevated hs-cTnT, the cumulative glucocorticoid dose prior to CMR was negatively associated with elevated T₂ values (OR=0.997, P=0.018), and this correlation remained significant after adjusting for duration of steroid use (OR=0.997, P=0.044). ROC analysis showed that when the cumulative glucocorticoid dose did not exceed 613 mg/mL (prednisone equivalent), the sensitivity and specificity for predicting elevated T₂ values were 90.48% and 77.78%, respectively (AUC=0.862, P<0.001). CONCLUSIONS Several inflammatory biomarkers demonstrate correlations with specific CMR parameters, with hs-cTnT showing the strongest associations across multiple indices. Elevated hs-cTnT suggests a high likelihood of cardiac involvement in CTD patients. Furthermore, pre-CMR immunotherapy intensity significantly influences the specificity of T₂ mapping, indicating its importance in interpreting CMR results. These findings provide critical insights for clinicians in the early recognition, timely intervention, and disease evaluation. Future research should further explore the role of CMR in the assessment of CTD-related cardiac assessment of CTD-related cardiac involvement. Future studies should further explore the role of CMR in evaluating CTD cardiac manifestations and its integration with other clinical data to optimize patient management.
Humans ; Retrospective Studies ; Male ; Female ; Connective Tissue Diseases/blood* ; Middle Aged ; Adult ; Biomarkers/blood* ; Magnetic Resonance Imaging/methods* ; ROC Curve ; Interleukin-6/blood* ; Troponin T/blood*

The fat mass and obesity associated gene(FTO),a crucial RNA N6-methyladenosine(m6 A)demethylase,has been reported to influence the expression of glutathione peroxidase 4(GPX4)by modu-lating m6A modifications.GPX4 is a key molecule inhibiting ferroptosis,and the activation of ferroptosis signaling has been demonstrated to significantly reduce lipid accumulation in both mouse primary adipo-cytes and high fat diet fed mice.However,the specific m6A modification sites within the Gpx4 mRNA re-main undefined,and the regulatory role of Gpx4 during mouse adipocyte differentiation is also unclear.Through bioinformatic analysis combined with validation by methylated RNA immunoprecipitation sequen-cing(MeRIP)-qPCR and single-base elongation-and ligation-based qPCR amplification method(SE-LECT)assays,a key m6A modification site in Gpx4 mRNA was identified at 303 bp downstream from its transcription start site.CRISPR-Cas9-mediated knockdown of Gpx4 in 3T3-L1 cells,followed by adipo-genic induction,revealed that Gpx4 knockdown significantly reduced intracellular lipid droplet accumula-tion as assessed by Oil Red O staining(P＜0.001).RT-PCR and Western blotting analyses further dem-onstrated significantly decreased expression of key adipogenic differentiation genes(C/ebpα,Pparγ,Lpl,Fabp4)(P＜0.001).To investigate the temporal specificity of Gpx4 regulation,the GPX4 inhibitor RSL3(100 nmol/L)was administered during different stages of adipogenic differentiation.Results showed that RSL3 treatment specifically during the mitotic clonal expansion phase significantly suppressed the expression of adipogenic genes(Fabp4,Pparγ,Adipoq)and impeded adipogenesis.In summary,this study not only identifies a key m6A modification within the mouse Gpx4 mRNA but,more important-ly,reveals that GPX4 plays a critical regulatory role in 3T3-L1 adipocyte differentiation.These findings establish a link between the FTO-m6A-GPX4-ferroptosis regulatory axis and adipocyte differentiation,providing novel theoretical insights into the pathological mechanisms of obesity and identifying potential therapeutic targets.

AIM To optimize the extraction process for Jiangzhi Ligan Decoction,and to investigate its effects on improving lipid deposition in HepG2 cells.METHODS With extraction time,extraction frequency and solvent consumption as influencing factors,comprehensive score for tanshensu,lotine,catechin contents and extract yield as an evaluation index,the extraction process was optimized by Box-Behnken response surface method on the basis of single factor test.Palmitic acid-induced HepG2 cells were adopted in the establishment of non-alcoholic fatty liver disease model,after which the effect of drug-containing serum on TC and TG levels was investigated.RESULTS The optimal conditions were determined to be 90 min for extraction time,three times for extraction frequency,and 11 times for solvent consumption.Compared with the control group,the model group demonstrated increased TG,TC levels(P＜0.01);compared with the model group,the Jiangzhi Ligan Decoction high-dose group displayed decreased TG,TC levels(P＜0.05,P＜0.01),especially for those after optimization(P＜0.05,P＜0.01).CONCLUSION Jiangzhi Ligan Decoction can alleviate lipid deposition in HepG2 cells induced by palmitic acid,whose efficacy after extraction process optimization is better than that reported in literature.

ObjectiveTo determine the optimal combination of the effective monomer components "quercetin-kaempferol-abietic acid-boswellic acid" in Fujin Shengjisan for promoting diabetic ulcer （DU） wound healing through uniform design， thereby achieving the modern application of the ancient formula. MethodsFollowing the principle of "uniform design-pharmacodynamic experiment-mathematical modeling and model verification"， the U₁₄（14⁵） uniform design table was adopted.The four monomer components of Chinese medicine were considered as the independent variables， and the proliferation rate of human umbilical vein endothelial cells （HUVECs） induced by glucose was used as the pharmacodynamic indicator. A mathematical model was constructed using DPS software to correlate the effective monomer components with the pharmacodynamic indicator. The results of uniform design were verified through CCK-8 assay， cell scratch healing， tube formation， Western blot， and Real-time PCR. ResultsAmong the 14 compatibility groups， compared with the high-glucose model group， compound compatibility group 6 showed the strongest proliferation effect and statistical significance （P<0.05）. Four quadratic polynomial regression equations （Y₁-Y₄） were obtained through DPS modeling. Considering the model's fit， stability， and practical application， equations Y₁-Y₃ were selected for the follow-up verification. To ensure experiment reproducibility， group 6 was used for validation. Group 6 and equations Y₁-Y₃ were renamed as compound prescription ① to compound prescription④， respectively， to represent the modern application of the ancient FJSJ Powder through compatibility of monomer components. Verification experiments showed that in the CCK-8， scratch healing， and tube formation assays， the cell viability， wound healing rate， and tube formation number of HUVECs stimulated with 50 mmol·L^-1 glucose were significantly reduced compared with the blank group. Moreover， the expression levels of angiogenesis-related cytokines， vascular endothelial growth factor （VEGF） and fibroblast growth factor 2 （FGF2）， and CD31 secretion were significantly down-regulated. However， after intervention with compound prescriptions ① to ④， compound prescriptions ① and ③ significantly improved the biological functions of HUVECs induced by 50 mmol·L^-1 glucose. Further analysis of the regression coefficients of compound prescriptions ① and ③， and the relative dose ratios of each monomer component， indicated that abietic acid， quercetin， and boswellic acid promoted angiogenesis of HUVECs in the high glucose environment， with a major effect （positive partial correlation coefficients， all > 0.9）. Abietic acid and boswellic acid， as well as kaempferol and boswellic acid， promoted angiogenesis in HUVECs through interaction （positive partial correlation coefficients）. ConclusionCompound prescriptions ① and ③ are the optimal combinations. They can reverse the inhibitory effects of high glucose， stimulate the proliferation， migration， and tube formation abilities of HUVECs in a high glucose environment， and promote the expression of vascular endothelial growth factorA（VEGFA）， FGF2， and CD31， thereby promoting angiogenesis and facilitating DU wound healing. This finding not only confirms the good reproducibility and feasibility of compound prescriptions ① and ③ but also provides new insights and methods for the rational construction of mathematical models to further study the compatibility theory of Chinese medicine.

OBJECTIVE: To assess the independent and combined effects of air pollutants, meteorological factors, and greenspace exposure on new tuberculosis (TB) cases. METHODS: TB case data from Shanghai (2013-2018) were obtained from the Shanghai Center for Disease Control and Prevention. Environmental data on air pollutants, meteorological variables, and greenspace exposure were obtained from the National Tibetan Plateau Data Center. We employed a distributed-lag nonlinear model to assess the effects of these environmental factors on TB cases. RESULTS: Increased TB risk was linked to PM _2.5, PM ₁₀, and rainfall, whereas NO ₂, SO ₂, and air pressure were associated with a reduced risk. Specifically, the strongest cumulative effects occurred at various lags: PM _2.5 ( RR = 1.166, 95% CI: 1.026-1.325) at 0-19 weeks; PM ₁₀ ( RR = 1.167, 95% CI: 1.028-1.324) at 0-18 weeks; NO ₂ ( RR = 0.968, 95% CI: 0.938-0.999) at 0-1 weeks; SO ₂ ( RR = 0.945, 95% CI: 0.894-0.999) at 0-2 weeks; air pressure ( RR = 0.604, 95% CI: 0.447-0.816) at 0-8 weeks; and rainfall ( RR = 1.404, 95% CI: 1.076-1.833) at 0-22 weeks. Green space exposure did not significantly impact TB cases. Additionally, low temperatures amplified the effect of PM _2.5 on TB. CONCLUSION Exposure to PM _2.5, PM ₁₀, and rainfall increased the risk of TB, highlighting the need to address air pollutants for the prevention of TB in Shanghai.
China/epidemiology* ; Humans ; Air Pollutants/analysis* ; Tuberculosis/epidemiology* ; Incidence ; Meteorological Concepts ; Particulate Matter/adverse effects* ; Environmental Exposure ; Male ; Female ; Adult ; Air Pollution ; Middle Aged

Objective:To address the inefficiency, safety hazards, and resource wastage in traditional medical laboratory management, this study proposes a digital laboratory information management system (LIMS) based on Total Quality Management (TQM) principles. The LIMS has been implemented at the National Center for Geriatric Medicine (Huashan) affiliated with Fudan University.Methods:Centered on the principles of " all-staff participation, whole-process control, and comprehensive management", a multidimensional management framework was developed to integrate personnel, equipment, reagents, and safety protocols. The system incorporated IoT, digital twin, and artificial intelligence (AI) technologies to achieve end-to-end digital control. A layered architecture (physical layer, data layer, model layer, etc.) was designed to integrate functional modules such as full lifecycle equipment management, dual-authentication for hazardous chemicals, and intelligent resource scheduling. A 3D digital twin model was deployed to visualize real-time laboratory operations.Results:Post-implementation, equipment reservation frequency and usage duration at the National Center increased by 114% and 124%, respectively, with no safety incidents reported. Equipment sharing utilization reached 85%, and reagent expiration waste decreased by 30%.Conclusions:The system transforms laboratory management from experience-driven to data-driven by breaking data silos and optimizing collaboration mechanisms. It provides a replicable technical pathway and practical insights for the healthcare industry′s digital transformation. However, further improvements are needed in mobile support and system scalability.

Dihydromyricetin(DMY),a flavonoid compound extracted from Ampelopsis grossedentata,exhibits diverse pharmacological activities,including anti-inflammatory,antioxidant,antitumor,neuroprotective,and immuno-modulatory effects.Recent studies have demonstrated that DMY can suppress inflammatory responses and oxidative stress through multiple molecular pathways,as well as regulate bile acid metabolism and maintain intestinal microbiota balance.These actions help reduce histopathological damage,improve gastrointestinal barrier function,and alleviate the symptoms of digestive system diseases.DMY has shown significant therapeutic effects in the treatment of gastrointestinal inflamma-tion,liver diseases,and digestive tract tumors.This review systematically summarizes the mechanisms of action and thera-peutic potential of DMY in digestive system diseases,providing a scientific basis and theoretical support for its clinical ap-plication and the development of new drugs.

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 explore the differences between the Phoenix sepsis scoring system including Phoenix sepsis score (PSS) and Phoenix-8 organ dysfunction score (hereinafter referred to as Phoenix-8) and the commonly used pediatric sepsis scores in evaluating clinical characteristics and prognostic analysis of pediatric patients with severe sepsis diagnosed under traditional standards, namely the diagnostic criteria from the 2005 International Pediatric Sepsis Consensus Conference.Methods:This study was a retrospective observational study. From December 2020 to March 2023, 202 pediatric patients with severe sepsis meeting the inclusion criteria were admitted to the Children's Hospital of Nanjing Medical University. Based on the sepsis diagnostic criteria outlined in the International Consensus Criteria for Pediatric Sepsis and Septic Shock (2024), the pediatric patients were categorized into a sepsis group and a non-sepsis group. Sepsis group was further subdivided into a death subgroup and a survival subgroup based on the outcomes. The age, hospitalization costs, disease outcome indicators (e.g., mortality rate and incidence of septic shock), major organ (e.g., heart, liver, lungs, and kidneys) damage and their correlations, as well as PSS, Phoenix-8 and commonly used pediatric sepsis scores (e.g., pediatric sequential organ failure assessment (pSOFA), pediatric risk of mortality score Ⅲ (PRISM Ⅲ), pediatric logistic organ dysfunction-2 score (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), and pediatric early warning score (PEWS)) were collected and compared. Receiver operating characteristic (ROC) curve and precision-recall curve were plotted to evaluate the predictive ability of PSS, Phoenix-8, and commonly used pediatric sepsis scores for mortality risk in pediatric patients with severe sepsis under traditional standards. Predictive performance was quantified using the area under the ROC curve (AUROC). Univariate logistic regression analysis was employed to quantify the odds ratios of PSS and Phoenix-8 for predicting mortality risk. Patients with severe sepsis under traditional standards were further stratified into subgroups based on complications and comorbidities, including central nervous system (CNS) diseases, multiple infections, cardiovascular system diseases, shock, and malignancies. The Hosmer-Lemeshow goodness-of-fit test was used to assess calibration of PSS and Phoenix-8, and the DeLong test was used to compare whether there were statistically significant differences in the AUROC of PSS and Phoenix-8 for predicting mortality risk among different subgroups of pediatric patients. Results:Compared with those in non-sepsis group, pediatric patients in sepsis group were significantly older ( Z=-2.92, P<0.05) with higher incidences of septic shock and mortality, hospitalization costs, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, PSS, and Phoenix-8 (with χ2 values of 21.28 and 13.64, respectively, Z values of -1.99, -5.33, -5.10, -8.55, -6.91, -10.98, and -9.93, respectively, P<0.05), and lower PCIS ( Z=-3.34, P<0.05). Compared with those in survival subgroup, hospitalization costs, PSS, Phoenix-8, PRISM Ⅲ, PEWS, pSOFA, PELOD-2, and P-MODS of pediatric patients in death subgroup was significantly higher (with Z values of -2.50, -3.50, -2.47, -5.11, -3.84, -2.94, -3.61, and -3.04, respectively, P<0.05). Compared with those in survival subgroup, the incidences of lung damage and liver damage of pediatric patients in death subgroup were also significantly higher (with χ2 values of 6.20 and 10.94, respectively, P<0.05), and 64.7% (97/150) of patients exhibited two or more concurrent organ damage. For predicting mortality risk in pediatric patients with severe sepsis under traditional standards, the AUROC values for PRISM Ⅲ, PCIS, PEWS, pSOFA, PELOD-2, P-MODS, PSS, and Phoenix-8 were approximately 0.70, with optimal cutoff values of 17.5, 91.0, 5.5, 4.5, 2.5, 4.5, 3.5, and 4.5, respectively; PELOD-2 demonstrated the highest sensitivity (0.83); while PRISM Ⅲ, PSS, and Phoenix-8 showed high specificity (>0.80). Univariate logistic regression analysis showed that for every 1-point increase in the PSS within 24 hours of pediatric intensive care unit admission, the relative risk of mortality increased by 63.7% (with odds ratio of 1.64, 95% confidence interval of 1.34-1.99, P<0.05). Similarly, for every 1-point increase in the Phoenix-8, the relative risk of mortality increased by 37.5% (with odds ratio of 1.38, 95% confidence interval of 1.18-1.60, P<0.05). The AUROC values (around 0.80) of PSS and Phoenix-8 for predicting mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases were relatively high. In contrast, the AUROC values (0.60-0.80) for predicting mortality risk in pediatric patients with severe sepsis combined with shock or malignant tumors were moderate. All models passed the Hosmer-Lemeshow goodness-of-fit test ( P>0.05). The DeLong test indicated no statistically significant differences in predictive ability between PSS and Phoenix-8 across subgroups of pediatric patients ( P>0.05). Conclusions:PSS and Phoenix-8 exhibited higher specificity than most of the commonly used pediatric sepsis scores in predicting mortality risk under traditional standards. Both scores performed much better in predicting the mortality risk in pediatric patients with severe sepsis combined with CNS diseases, multiple infections, and cardiovascular system diseases.

Dihydromyricetin(DMY),a flavonoid compound extracted from Ampelopsis grossedentata,exhibits diverse pharmacological activities,including anti-inflammatory,antioxidant,antitumor,neuroprotective,and immuno-modulatory effects.Recent studies have demonstrated that DMY can suppress inflammatory responses and oxidative stress through multiple molecular pathways,as well as regulate bile acid metabolism and maintain intestinal microbiota balance.These actions help reduce histopathological damage,improve gastrointestinal barrier function,and alleviate the symptoms of digestive system diseases.DMY has shown significant therapeutic effects in the treatment of gastrointestinal inflamma-tion,liver diseases,and digestive tract tumors.This review systematically summarizes the mechanisms of action and thera-peutic potential of DMY in digestive system diseases,providing a scientific basis and theoretical support for its clinical ap-plication and the development of new drugs.