ObjectiveTo explore the mechanism by which Zuoguiwan improves the pancreas development in the gestational diabetes mellitus （GDM） model by observing the effects of Zuoguiwan on the expression of key regulatory factors in different stages of pancreas development. MethodsPregnant Wistar rats were randomly assigned into blank， model， insulin detemir （20 U·kg^-1） and Zuoguiwan （1.89 g·kg^-1） groups （n=18）. GDM was induced by peritoneal injection of streptozotocin on day 6.5 （E6.5d） in the embryonic stage， and the blank group was given an equal volume of sodium citrate buffer. The modeling performance was assessed by measuring the blood glucose of pregnant rats. Except the blank group and model group， pregnant rats in other groups were administrated with corresponding drugs from E9.5d to delivery. The random blood glucose of pregnant rats was monitored， and the embryos and offspring rats were measured for the length and weighed on E12.5d， E18.5d and day 21 after birth （B21d）. The Lee's index of rats on B21d was calculated. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the fasting insulin （FINS） levels of B22d rats and the Homeostasis Model Assessment for Insulin Resistance （HOMA-IR） was calculated. The serum levels of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， total bilirubin （TBIL）， total cholesterol （CHO）， triglyceride （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL） in E18.5d pregnant rats and B22d offspring were determined. The pathological changes in the pancreas of E12.5d， E18.5d and B22d rats were observed by hematoxylin-eosin （HE） staining. Western blot was used to determine the protein levels of pancreatic duodenal homeobox 1 （Pdx1）， pancreas-specific transcription factor 1a （Ptf1a）， and sex-determining region Y-box protein 9 （Sox9） in the pancreas of E12.5d embryos， Pdx1， Nkx2 homeobox 2 （Nkx2.2）， and hairy and enhancer of split-1 （Hes1） in the pancreas of E18.5d embryos， and Pdx1， v-maf musculoaponeurotic fibrosarcoma oncogene homolog A （Mafa）， and NK transcription factor-related homeobox gene family 6 locus 1 （Nkx6.1） in the pancreas of B22d rats. ResultsCompared with the blank group， the model group showed elevated blood glucose levels in pregnant rats on B0d， E9.5d， E12.5d， E15.5d， and E18.5d （P<0.05， P<0.01）， decreased body weight and body length （P<0.01） and increased Lee's index in the offspring. In addition， the B22d offspring showed rising levels of FBG， FINS， HOMA-IR， AST， and TG （P<0.01）， a declined level of HDL （P<0.01）， and pancreatic acinous cells with edema and loose arrangement. The pregnant rats on E18.5d exhibited raised levels of ALT， AST， and TG （P<0.05， P<0.01） in the pancreas and a declined level of HDL （P<0.05）. The E12.5d embryos showed up-regulated protein levels of Pdx1， Sox9， and Ptf1a in the pancreas （P<0.01） and the E18.5d embryos exhibited down-regulated protein levels of Pdx1， Nkx2.2， and Hes1 in the pancreas （P<0.01）. The protein levels of Pdx1， Nkx6.1， and Mafa in the pancreas of B22d offspring were down-regulated （P<0.01）. Compared with the model group， the insulin group exhibited lowered blood glucose in pregnant rats on B0d， E15.5d， and E18.5d （P<0.05， P<0.01）. The offspring in all treatment groups showcased increased body weight and body length （P<0.01） and decreased Lee's index. The B22d offspring exhibited declined levels of FBG， FINS， and HOMA-IR in the insulin group （P<0.01） and lowered levels of FBG and HOMA-IR in the Zuoguiwan group （P<0.01）. The B22d offspring in all the treatment groups showed reduced levels of ALT， AST， TBIL， CHO， TG， and LDL， a raised level of HDL， and alleviated edema of pancreatic acinous cells. The pregnant rats on E18.5d demonstrated declined levels of TG and ALT （P<0.05， P<0.01） and an elevated level of HDL （P<0.05）. The pancreas of E12.5d embryos presented down-regulated protein levels of Pdx1 and Sox9 and an up-regulated protein level of Ptf1a in the insulin group （P<0.05）. The pancreas of E12.5d embryos in the Zuoguiwan group presented down-regulated protein levels of Pdx1， Sox9， and Ptf1a （P<0.01）. All the treatment groups showed up-regulated protein levels of Pdx1， Nkx2.2， and Hes1 in the pancreas of E18.5d embryos （P<0.01） and Pdx1， Nkx6.1， and Mafa in the pancreas of B22d embryos （P<0.05， P<0.01）. ConclusionZuoguiwan can promote the growth and development and ameliorate the pathological changes in the pancreas of the offspring of GDM model by regulating the expression of Pdx1 pathway-related regulatory factors in different stages of pancreas development.

ObjectiveStarting from the etiology， pathogenesis， and treatment strategies of endometriosis and adenomyosis， to integrate and sort out the academic characteristics of contemporary renowned experts and schools in the field of traditional Chinese medicine gynecology. MethodsAccording to the systematic review of text and opinion （SrTO） process developed by the Joanna Briggs Institute （JBI） in Australia， this paper determined literature screening criteria by searching China National Knowledge Infrastructure （CNKI）， VIP， Wanfang， and China Biomedical Literature Database. Information was extracted after literature screening， and quality evaluation was conducted using the JBI Narrative， Text， and Opinion Systematic Review Strict Evaluation Checklist. The JBI Narrative， Opinion， Text Evaluation， and Review Tool Summary Table was used for information synthesis， and data analysis and display were conducted in the form of text and charts. ResultsThe 146 articles related to 39 renowned experts and 19 articles related to 10 schools of thought were included. Research has found that contemporary experts and schools in traditional Chinese medicine gynecology consider blood stasis as the core pathogenesis in understanding the etiology and pathogenesis of two diseases and related infertility. Their viewpoints varied from multiple aspects such as clinical symptom characteristics， meridian circulation location， pathological product evolution， disease duration， emotional psychology， lifestyle habits， preference for food and drink， innate endowment， and acquired injury. In terms of treatment， it was advocated to divide the stage， treat according to different types， adapt to the times， integrate nature and humans， and combine multiple methods to treat comprehensively when necessary. It was also recommended to skillfully use insects， make good use of classic formulas and small prescriptions， pay attention to protecting the spleen and stomach and regulating emotions， and make good use of self-formulated empirical formulas for internal or external use. Besides， individualized long-term management of patients was also advocated. ConclusionThis study applies the SrTO process to systematically summarize the academic ideas of contemporary renowned experts and schools in traditional Chinese medicine gynecology regarding the causes， mechanisms， diagnosis， and treatments of endometriosis， providing a scientific and standardized reference for future theoretical exploration.

OBJECTIVE: Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD. METHODS: Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with ³²P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects. RESULTS: In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs. CONCLUSION Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans ; Neural Tube Defects/chemically induced* ; Polycyclic Aromatic Hydrocarbons/adverse effects* ; Female ; Case-Control Studies ; China/epidemiology* ; Adult ; Pregnancy ; Environmental Pollutants ; Maternal Exposure/adverse effects* ; Metals/toxicity* ; Young Adult ; Risk Factors

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 investigate the treatment regimens, therapeutic effects, and adverse events of immune checkpoint inhibitors (ICI) in the treatment of progressive multifocal leukoencephalopathy (PML).Methods:A retrospective analysis was performed on patients with PML who received ICI treatment at the Department of Neurology of Peking Union Medical College Hospital from October 2020 to September 2024. The patients′ demographic characteristics, baseline immune status, clinical manifestations, laboratory tests, treatment regimens, and clinical outcomes were analyzed.Results:A total of 2 male patients with PML, aged 40 and 59 years, received ICI treatment. One patient had underlying combined immunodeficiency, while the other had acute myeloid leukemia subtype M2 and had previously undergone umbilical cord blood stem cell transplantation. Both patients were treated with pembrolizumab (dosage range: 2-3 mg/kg, administered every 3-4 weeks), receiving a total of 2-4 courses of treatment. In terms of therapeutic effects, both patients showed significant improvement. Regarding adverse events, 1 patient experienced immune-related adverse event (irAE) of immune-related pneumonia combined with immune-related hypophysitis.Conclusions:ICI may be an effective treatment option for PML. However, the use of ICI may be accompanied by the occurrence of irAE, necessitating close monitoring during treatment.

Objective:To explore the relationship between the dynamic alterations of immune cell subsets in a patient with autoimmune encephalitis and the clinical relapses.Methods:For a patient with multiple relapses of anti-N-methyl-D-aspartate receptor encephalitis superimposed with myelin oligodendrocyte glycoprotein antibody-associated disease who visited Peking Union Medical College Hospital on July 18, 2018, the lymphocyte subsets were monitored dynamically over a long period and the relationship between lymphocyte subsets and the relapses was summarized.Results:The 38-year old male patient experienced a total of 5 episodes (including 4 relapses) during the six-year immunotherapy and follow-up process, and responded well to first-line and maintenance immunotherapy. His relapses occurred during drug reduction. Finally, the neurological symptoms resolved after rituximab treatment. A total of 39 tests of peripheral blood lymphocyte subsets were conducted during the follow-up, and 5 peaks of elevated CD19 positive B cells, 9 peaks of elevated CD3 positive T cells and 11 peaks of elevated natural killer cells were observed. The peak period of peripheral blood CD19 positive B cells exactly coincided with clinical relapses. While the consistency rates of clinical relapse and the peaks of peripheral blood CD3 positive T cells and natural killer cells were 5/9 and 2/11, respectively.Conclusions:The dynamic alterations of CD19 positive B cells in peripheral blood are correlated with the clinical relapse of autoimmune encephalitis and can predict clinical relapse.

Objective To systematically summarize medication patterns and explore the potential mechanisms of core herbal combinations in treating chronic glomerulonephritis(CGN)based on data mining and network pharmacology,and to provide a reference for clinical treatment strategies.Methods Electronic book databases were searched to screen the CGN prescription from the works of contemporary Xin'an medical practitioners.Frequency statistics,association rule analysis,and clustering algorithms via the traditional Chinese medicine(TCM)Inheritance Support Platform V3.5 were applied to identify high-frequency herbs(frequency of use>10%)and core combinations.Active ingredients and potential targets were predicted using TCMSP,PubChem,and SwissTargetPrediction databases.Disease-related targets were retrieved from OMIM and GeneCards,after obtaining the intersecting targets,followed by protein-protein interaction(PPI)network construction(STRING platform),Cytoscape topological analysis,and GO and KEGG pathway enrichment(DAVID).Results A total of 151 prescriptions related to the treatment of CGN were included,involving 213 flavours of TCM,including 42 varites of high frequency drugs,mainly in the categories of supplementing deficiency,eliminating dampness and diuresis and clearing heat.Theherb properties were mainly cold,warm,and neutral,with flavors of sweet,bitter,and pungent.Herbs primarily targeted the liver,lung,kidney,and spleen meridians.Thecore combination"Astragali Radix,Dioscorea Rhizome,Atractylodis Macrocephalae Rhizoma,Imperata Rhizome,Pyrrosiae Folium,Poria"was identified,with key active ingredients including quercetin,stigmasterol,and β-sitosterol.Core targets involved IL6,EGFR,TNF,AKT1,and PIK3CA,while enriched pathways included PI3K-Akt and AGE-RAGE signaling.Conclusion Contemporary Xin'an practitioners primarily treat CGN by tonifying the spleen,nourishing the kidney,and clearing damp-heat.Thecore herbal combination exerts synergistic effects through multi-target intervention in immune-inflammatory pathways,oxidative stress,and fibrotic pathways,highlighting the holistic therapeutic advantages of TCM formulas via multi-component synergistic regulation and multi-target interactions.This study provides a theoretical foundation for further experimental validation and clinical applications.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Objective:To investigate the value of coarse calcification ultrasound feature for the differential diagnosis of benign and malignant thyroid nodules and the China Thyroid Imaging Reporting and Data System (C-TIRADS) classification.Methods:A retrospective case series study was conducted. Two hundred and twenty solid thyroid nodules with coarse calcification confirmed by surgical pathology in 210 patients from January 2023 to February 2024 in Shanxi Province Cancer Hospital were selected. Using the postoperative pathological results as the gold standard, the nodules were divided into benign and malignant groups, and the ultrasound characteristics and specific features of coarse calcification of the nodules were compared between the two groups. Binary logistic regression analysis was used to screen for independent predictors of nodal malignancy in the coarse calcification features, and the independent predictors were assigned scores based on the C-TIRADS classification. The efficacy of C-TIRADS classification combined with independent predictors of nodal malignancy in the coarse calcification features for diagnosing malignant nodules was analyzed using receiver operating characteristic (ROC) curve.Results:The postoperative pathological findings of 220 thyroid nodules showed 70 (31.82%) were benign and 150 (68.18%) were malignant. The echogenicity, maximum diameter, orientation, margins of nodules and the location, number, promiscuity, peripheral soft tissue shadow of coarse calcification were compared between the benign and malignant groups, and the differences were statistically significant (all P < 0.05). Logistic regression analysis showed that the presence of coarse and irregular calcification ( OR = 7.20, 95% CI: 3.16-16.37, P < 0.001) and coarse calcification with peripheral soft tissue shadow ( OR = 7.87, 95% CI: 3.74-16.57, P < 0.001) were independent predictors for nodule malignancy. The area under the curve (AUC), sensitivity, specificity, and accuracy for diagnosing malignant nodules by C-TIRADS classification were 0.75, 66.67%, 81.43%, and 71.36%, respectively; the AUC, sensitivity, specificity, and accuracy for diagnosing malignant nodules by C-TIRADS classification combined with coarse and irregular calcification and peripheral soft tissue shadow were 0.88, 84.00%, 80.00%, and 82.73%, respectively; the difference in AUC for diagnosing malignant nodules with C-TIRADS classification alone and in combination with coarse calcification features was statistically significant ( Z = 4.69, P < 0.001). Conclusions:Coarse and irregular calcification and peripheral soft tissue shadow are risk factors for malignancy of thyroid nodules, and the diagnostic accuracy of the two in combination with C-TIRADS classification is high.

Objective:To explore the diagnostic value of quantitative analysis of contrast-enhanced ultrasound for the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) thyroid nodules 4.Methods:A retrospective case series study was conducted. A total of 87 patients with thyroid nodules from Shanxi Province Cancer Hospital between October 2018 and July 2022 were selected. All patients were diagnosed as C-TIRADS 4 thyroid nodules by routine ultrasound and had DICOM storage format ultrasound contrast dynamic data. All 96 thyroid nodules in 87 patients had clear surgical and pathological results. Based on the contrast-enhanced ultrasound features of the nodules, the nodules were reclassified by using C-TIRADS according to 3 different criteria. VueBox analysis software was used to obtain dynamic contrast-enhanced ultrasound (DCE-US) quantitative parameters, the most effective quantitative parameters for diagnosing thyroid malignant nodules were obtained by using receiver operating characteristic (ROC) curves, and their optimal cut-off values were obtained. Based on ultrasound contrast and DCE-US quantitative parameters, the nodules were reclassified by using C-TIRADS. Based on pathological results, the malignancy rates of nodules classified by C-TIRADS based on the conventional ultrasound, contrast-enhanced ultrasound, and contrast-enhanced ultrasound combined with DCE-US quantitative parameters were calculated. ROC curves were drawn to compare the diagnostic efficacy of conventional ultrasound, contrast-enhanced ultrasound, and contrast-enhanced ultrasound combined with DCE-US quantitative parameters for thyroid malignant nodules.Results:Among the 96 thyroid nodules, the malignancy rates of C-TIRADS 4a, 4b, and 4c nodules evaluated by conventional ultrasound were 50.0% (17/34), 72.1% (31/43) and 100.0% (19/19), respectively, which were not within the reference range provided by the C-TIRADS guideline. After reclassifying the nodules according to the contrast-enhanced ultrasound standards, the malignancy rates of C-TIRADS 3, 4a, 4b, 4c, 5 of nodules were 0 (0/2), 25.0% (2/8), 31.3% (5/16), 71.9% (23/32), and 97.4% (37/38), respectively. Among them, the malignancy rate of the 4a type nodule was still relatively high, which was not within the reference range given by the C-TIRADS guideline. The area under the curve of DCE-US quantitative parameter peak intensity (PE) for diagnosing thyroid malignant nodules according to ROC curves was the largest with the optimal cut-off value of 2080.7a.u. Based on contrast-enhanced ultrasound and combined with PE, the nodules were classified again, and the malignancy rates of C-TIRADS 3, 4a, 4b, 4c, 5 of nodules were 0 (0/7), 9.1% (1/11), 27.3% (3/11), 83.3% (11/13), and 98.1% (53/54), respectively, all were within the reference range provided by the C-TIRADS guideline. ROC curve analysis showed that the AUC of contrast-enhanced ultrasound combined with DCE-US quantitative parameter PE for diagnosing thyroid malignant nodules was greater than that of conventional ultrasound and contrast-enhanced ultrasound (both P < 0.05); the optimal cut-off value was type 4b, with the sensitivity of 94.0%, the specificity of 89.7%, and the accuracy of 92.7%. Conclusions:The combination of contrast-enhanced ultrasound and DCE-US quantitative parameter PE is helpful for more accurate classification of C-TIRADS 4 thyroid nodules and improves the diagnostic efficiency of thyroid malignant nodules.