Objective To investigate whether low level 45, X/46, XX mosaicism presents in women with premature ovarian failure (POF) and the sensitivity and specificity of fluorescent in situ hybridization (FISH) for detecting X chromosome mosaicism. Methods Karyotypes of peripheral lymphocyte in 18 patients with POF and 9 normal controls were analyzed and the orange signals during FISH using X chromosome enumeration probes (CEPX) were counted. Results Single signals of X chromosome (45, X) were found in 7.6% of the total counted cells, which was significantly greater than that in the controls, in spite of the normal 46, XX karyotypes by routine analyses in all POF patients. Conclusions This study indicated that some POF patients may attribute to low level 45, X/46, XX mosaicism. FISH is more sensitive than the routine chromosome analyses in detecting low level X chromosome monosomy.

The statistics of purified protein derivative (PPD) test and chest radiograph of freshmen at a university from 2007 to 2010 were collected and examined.The result showed 25 tuberculosis cases (a prevalence rate of 0.18％) and 1 790 cases (13.40％) with strong positive PPD.After giving informed consents,the students with strong positive result and no abnormality on chest radiograph were divided into two groups.The treatment group (n =814) received precautionary anti-tuberculosis treatment while the nontreatment group (n =976) had no treatment.And 34 tuberculosis cases were found during four years in school (0.25％).Except for freshmen in 2008,the prevalence rate of the strong positive PPD groups much higher than that of the positive and negative groups and the difference had statistic significance between the groups (x2 =23.20,10.58,18.80,P ＜ 0.05).Therefore PPD test and chest radiograph are two main methods for an early diagnosis of tuberculosis among freshmen.Adopting precautionary anti-tuberculosis treatment for students with strong positive PPD and regular physical examinations are effective measures for tuberculosis control at universities.

Objective To investigate the effect of bone marrow mesenchymal stem cells(BMSC)transplantation on rats with painful diabetes peripheral neuropathy(PDPN).Methods Fourteen SPF grade male GK rats were randomly divided into model group and treat-ment group,with 7 rats in each group.Seven Wistar rats of the same-sex and same-age were used as the normal group.The treatment group received intraperitoneal injection of BMSC for 6 weeks of treatment.Detection of thermal pain threshold;take the sciatic nerve and observe the pathological morphological changes of the sciatic nerve using hematoxylin-eosin(HE)staining and Masson staining;Western blot was used to detect the expression of JAK2/STAT3 signaling pathway related proteins p-JAK2 and p-STAT3.Results After treat-ment with BMSC,the thermal pain threshold of rats increased slightly;the sciatic nerve injury was repaired,the infiltration of inflammato-ry cells was alleviated,and the phenomenon of demyelination was improved;the expression of pathway related proteins p-JAK2 and p-STAT3 decreased.Conclusion BMSC transplantation can alleviate inflammatory response,repair sciatic nerve,and alleviate pain by in-hibiting the JAK2/STAT3 signaling pathway.

It is found that acupuncture can significantly improve the clinical symptoms of rheumatoid arthritis (RA) such as pain and joint stiffness, and improve rheumatoid factor, high-sensitivity CRP, ESR and other clinical indicators. It can inhibit the proliferation of synovial cells, the apoptosis of chondrocytes, and regulate polarization balabce of mononuclear macrophages, T cells, as well as inhibit the inflammatory function of multiple immune cells, in order to improve inflammation state of RA joints. In clinical treatment of RA, bladder meridian, stomach meridian, spleen meridian , and Governor Vessel are mostly selected. Acupoints with the efficacy of warming meridian, dispelling coldness and dredging collaterals were commonly selected such as Zusanli (ST36), Yanglinquan (GB34), Dazhui (GV14), Quchi (LI11). Several researches have proved that combined therapy of acupuncture and medicine is worthy promotion in clinic.

Background:Previous studies have proved that neutrophil gelatinase-associated lipocalin(NGAL)plays an important role in the progression of Crohn's disease(CD),and may serve as a potential biomarker for disease activity prediction,severity assessment,treatment response evaluation and prognosis monitoring.However,the diagnostic value of NGAL in perianal fistulizing Crohn's disease(pfCD)is still unclear.Aims:To investigate the serum level of NGAL and its diagnostic value in patients with active pfCD.Methods:A total of 66 patients diagnosed as pfCD from July 2021 to June 2023 at Longhua Hospital,Shanghai University of Traditional Chinese Medicine were enrolled,including 36 active pfCD patients and 30 inactive pfCD patients.The disease activity and perianal fistula activity were assessed by Crohn's disease activity index(CDAI)and perianal disease activity index(PDAI),respectively.Serum NGAL,fecal calprotectin(FC),C-reactive protein(CRP),erythrocyte sedimentation rate(ESR),as well as CDAI score and PDAI score were compared between the active and inactive pfCD patients,and the correlations of NGAL with the other parameters in active pfCD patients were analyzed.ROC curve was drawn to evaluate the values of serum NGAL,FC,CRP and ESR for diagnosis of active pfCD.Results:The serum NGAL,FC,CRP,ESR,CDAI score and PDAI score in active pfCD patients were significantly higher than those in inactive pfCD patients(all P＜0.001).NGAL was positively correlated with FC(r=0.64,P＜0.001),CRP(r=0.55,P＜0.001),ESR(r=0.53,P＜0.001),CDAI score(r=0.59,P＜0.001)and PDAI score(r=0.54,P＜0.001)in active pfCD patients.The optimal cut-off values of NGAL,FC,CRP and ESR were 220.5 μg/L,146.0 μg/g,7.9 mg/L and 23.5 mm/h,respectively,for the diagnosis of active pfCD,and the area under the curve were 0.922(95％CI:0.850-0.995),0.888(95％CI:0.806-0.970),0.853(95％CI:0.763-0.944)and 0.830(95％CI:0.731-0.930),respectively.Conclusions:Serum NGAL level is associated with the disease activity of pfCD,and can be used as a non-invasive biomarker for the clinical diagnosis of active pfCD.

Ferroptosis, an iron-dependent form of programmed cell death characterized by lipid peroxidation, oxidative stress, and dysregulated iron metabolism, plays a significant role in the pathogenesis of glaucoma. This review systematically summarizes the fundamental mechanisms of ferroptosis, the involvement of oxidative stress and ferroptosis in glaucoma, the relationship between ferroptosis and glaucomatous neurodegeneration, and the potential therapeutic strategies targeting ferroptosis in glaucoma. Studies have shown that ferroptosis-regulating factors play a crucial role in mitigating oxidative damage and preserving cellular function. However, the complexity of their regulatory mechanisms not only hinders a comprehensive understanding of their roles but also impedes clinical translation. Although ferroptosis inhibitors have demonstrated promising neuroprotective effects in animal models, their clinical application remains challenged by issues such as drug safety and target specificity. Therefore, the development of more targeted and low-toxicity therapeutic strategies is essential to advance personalized and precise treatment for glaucoma.

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

ObjectiveTo study the changes of primary metabolites and phenols in the fruits of Acanthopanax senticosus at different development stages, so as to provide a theoretical basis for the rational utilization of A. senticosus fruit resources. MethodThe primary metabolites and phenols in the fruits at different development stages were determined via gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) and then compared by multivariate statistical analysis. ResultA total of 274 chromatographic peaks were obtained by GC-MS-based non-targeted metabonomics and 24 differential metabolites were screened out by multivariate statistical analysis. The differential metabolites were mainly concentrated in pentose phosphate pathway, galactose metabolism, ascorbic acid and aldose metabolism pathways. After color conversion, the pentose phosphate pathway and galactose metabolism were activated and increasing sugars were accumulated. The ascorbic acid and aldose metabolism pathways were active before color conversion, with high accumulation of the end product ascorbic acid. The ultra-high liquid chromatography-mass spectrometry (UPLC-MS) identified 28 phenols in the fruits at different development stages. Flavonoids were accumulated mainly at the green ripening stage before color conversion, and phenolic acids were accumulated mainly after color conversion. ConclusionThe accumulation of primary metabolites and phenols in A. senticosus fruits varies significantly among different development stages

Objective: To assess the association between the metabolic score for insulin resistance index (METS-IR) and overactive bladder (OAB) in the US population，so as to explore the potential of METS-IR as a predictive tool for OAB risk and to provide insights for early screening and intervention strategies. Methods: Based on the data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018，a cross-sectional design was employed，and multivariate logistic regression models were used to analyze the association between METS-IR and OAB. METS-IR was analyzed both as a continuous variable and categorized into quartiles. To further validate the association between METS-IR and OAB across diverse populations，subgroup analyses were conducted in participants stratified by clinical characteristics. Smooth curve fitting was employed to test the linearity of the METS-IR-OAB relationship. Results: Elevated METS-IR was associated with an increased risk of OAB (P<0.001)，and this positive correlation remained stable when METS-IR was categorized into quartiles (P<0.001). Subgroup analyses revealed that the association between METS-IR and OAB was more pronounced in females，participants younger than 55 years，and non-diabetic individuals (P<0.05). Furthermore，smooth curve fitting confirmed a linear positive correlation between METS-IR and OAB，with this linear relationship observed in both diabetic and non-diabetic groups. Conclusion: This study，based on the NHANES 2005-2018 database，found a linear positive correlation between METS-IR and OAB.