Objective　: To investigate the activity concentrations of natural radionuclides in drinking water (tap water andwell water) in urban and rural areas of Hohhot, assess the safety of drinking water, and to provide data support for localdrinking water radioactivity monitoring and management. Methods　: Representative samples of well water and tap waterwere collected from nine banners/counties/districts in Hohhot. Activity concentrations were measured using a low-back-ground gross α/β counter, an α spectrometer, inductively coupled plasma mass spectrometry, and a radium/radon analyzer. Results　: A total of nine tap water samples and nine well water samples were analyzed. For the tap water samples, gross αactivity concentrations ranged from 0.093 to 0.193 Bq/L, gross β from 0.091 to 0.225 Bq/L, uranium mass concentrationsfrom 2.32 to 10.36 μg/L, thorium mass concentrations from 0.09 to 0.20 μg/L,210Po activity concentrations from below theminimum detectable limit to 0.41 mBq/L, and 226Ra activity concentrations from 8.70 to 13.35 mBq/L. For the well watersamples, gross α activity concentrations ranged from 0.111 to 0.203 Bq/L, gross β from 0.111 to 0.270 Bq/L, uranium massconcentrations from 2.31 to 13.28 μg/L, thorium mass concentrations from 0.17 to 0.26 μg/L,210Po activity concentrationsfrom 1.03 to 2.12 mBq/L, and 226Ra activity concentrations from 15.38 to 23.63 mBq/L. Conclusion　 The activityconcen-trations of natural radionuclides in both well water and tap water in the Hohhot region were at environmental backgroundlevels and met national drinking water hygiene standards.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To explore the current status of H.pylori infection in the natural population of Sanya City,analyze its influencing factors,and provide a reference basis for the prevention and control of H.pylori infection.Methods A total of 677 residents from four districts of Sanya City were selected by overall stratified random sampling method,and were subjected to urea 14C breath test and questionnaire survey to calculate the positive rate of H.pylori in the natural population and analyze the influencing factors of H.pylori infection.Results A total of 606 residents were included,and the number of H.pylori positive detections was 261,with a positive detection rate of 38.5％.Among them,different ethnicity,marital status,smoking,eating vegetables and fruits,and literacy level were associated with H.pylori infection(P＜0.05);gender,age,BMI,alcohol consumption,drinking water source,betel quid chewing,and the number of cohabitants were not significantly associated with H.pylori infection(P＞0.05).Family infection was an independent risk factor for H.pylori infection in the natural population of Sanya City,and Li ethnicity,frequent consumption of fruits and vegetables,and college and higher education level were independent protective factors for H.pylori infection in the natural population of Sanya City.Conclusion The rate of H.pylori infection in the natural population of Sanya City is lower than the national average.Consuming more fruits and vegetables and improving the awareness of hygiene protection are conducive to the prevention of H.pylori infection;and the promotion of the family and related members with the same examination and treatment is important to avoid aggregation of infection within the family.

Objective To explore the relevant risk factors of H.pylori infection,and provide reference for prevention and treatment of H.pylori in this area,and further provide theoretical basis for the prevention and treatment of gastric cancer.Methods A total of 1200 residents in four districts of Haikou city were investigated by questionnaire and urea 14 C breath test by holistic stratified random sampling to calculate the population infection rate and analyze the risk factors of infection.Results The total infection rate was 32.5％,which was lower than the national H.pylori infection rate.No consumption of fruits and vegetables,no habit of washing hands before meals,and people with gastrointestinal symptoms,are independent risk factors of H.pylori infection.No consumption of pickled products is of great significance to prevent H.pylori infection.Conclusion The prevalence of H.pylori infection in the population of Haikou is lower than the national average,and H.pylori infection is closely related to the poor living habits of residents.

This article aims to analyze the therapeutic effect and probe into the mechanism of Sanhuang Hushen Fangshuai Decoction in treating chronic kidney disease(CKD) based on metabolomics and bioinformatics. The patients with stage 3-4 CKD diagnosed and treated in the Changzhou Hospital of Traditional Chinese Medicine from June 2023 to March 2024 were enrolled in this study. The patients were treated with Sanhuang Hushen Fangshuai Decoction, and the therapeutic effect was evaluated. The serum samples were collected before and after treatment. Ultra-performance liquid chromatography was employed to detect metabolites in the serum, and multivariate statistical analysis was performed. Bioinformatics was employed to screen the active components and targets of the decoction and the potential targets of CKD. The protein-protein interaction(PPI) network of the common targets shared by the decoction and CKD and the drug-component-target network were constructed. The core components and targets were screened according to the correlation degree of the network. The binding between core components and targets was verified by molecular docking. The results showed that Sanhuang Hushen Fangshuai Decoction improved the renal function and reduced proteinuria. Compared with the healthy population, the post-treatment population showed recovery of 54 up-regulated metabolites and 43 down-regulated metabolites. Enrichment analysis results showed that the key pathways included adenosine triphosphate binding cassette(ABC) transport, tryptophan metabolism, and tyrosine metabolism. The results of bioinformatics analysis showed that the core components of Sanhuang Hushen Fangshuai Decoction in treating CKD included kaempferol, β-sitosterol, luteolin, 7-O-methylisolingol, and tanshinone Ⅱ_A. The core targets included TP53, PTGS2, JUN, AKT1, and TNF. Molecular docking results showed that the core components bound well to the target genes. The results of joint pathway analysis suggested that both differential metabolites and key targets were involved in galactose metabolism, nicotinamide metabolism, and other pathways. This study suggests that Sanhuang Hushen Fangshuai Decoction is effective for CKD, and it can regulate multiple abnormal metabolites and participates in multiple metabolic pathways involving amino acids and sugars. The active components such as kaempferol in the decoction may regulate related targets such as TP53 and PTGS2. This study provides a basis for the prevention and treatment of CKD with traditional Chinese medicine.
Drugs, Chinese Herbal/administration & dosage* ; Renal Insufficiency, Chronic/genetics* ; Humans ; Computational Biology ; Male ; Metabolomics ; Protein Interaction Maps/drug effects* ; Middle Aged ; Molecular Docking Simulation ; Female ; Adult ; Aged

This study aimed to investigate the effect and mechanism of Zuogui Jiangtang Qinggan Formula(ZGJTQG) on the glucolipid metabolism of type 2 diabetes mellitus(T2DM) complicated with non-alcoholic fatty liver disease(NAFLD). NAFLD was induced by a high-fat diet(HFD) in MKR mice(T2DM mice), and a model of T2DM combined with NAFLD was established. Forty mice were randomly divided into a model group, a metformin group(0.067 g·kg~(-1)), and high-and low-dose ZGJTQG groups(29.64 and 14.82 g·kg~(-1)), with 10 mice in each group. Ten FVB mice of the same age were assigned to the normal group. Serum and liver tissue specimens were collected from mice except for those in the normal and model groups after four weeks of drug administration by gavage, and fasting blood glucose(FBG) and fasting insulin(FINS) levels were measured. The levels of total cholesterol(TC), triglyceride(TG), and low-density lipoprotein(LDL) were detected by the single reagent GPO-PAP method. Very low-density lipoprotein(VLDL) was detected by enzyme-linked immunosorbent assay(ELISA). Alanine aminotransferase(ALT) and aspartate ami-notransferase(AST) were determined by the Reitman-Frankel assay. The pathological changes in the liver were observed by hematoxylin-eosin(HE) staining and oil red O staining. Real-time fluorescence-based quantitative polymerase chain reaction(real-time PCR) and Western blot were adopted to detect the mRNA and protein expression of forkhead transcription factor O1(FoxO1), microsomal triglyceride transfer protein(MTP), and apolipoprotein B(APOB) in the liver. The results showed that high-dose ZGJTQG could signi-ficantly reduce the FBG and FINS levels(P<0.05, P<0.01), improve glucose tolerance and insulin resistance(P<0.05, P<0.01), alleviate the liver damage caused by HFD which was reflected in improving liver steatosis, and reduce the serum levels of TC, TG, LDL, VLDL, ALT, and AST(P<0.05, P<0.01) in T2DM mice combined with NAFLD. The findings also revealed that the mRNA and protein expression of FoxO1, MTP, and APOB in the liver was significantly down-regulated after the intervention of high-dose ZGJTQG(P<0.05, P<0.01). The above study showed that ZGJTQG could effectively improve glucolipid metabolism in T2DM combined with NAFLD, and the mechanism was closely related to the regulation of the FoxO1/MTP/APOB signaling pathway.
Mice ; Animals ; Non-alcoholic Fatty Liver Disease/metabolism* ; Diabetes Mellitus, Type 2/metabolism* ; Liver ; Lipoproteins, LDL/metabolism* ; Signal Transduction ; Diet, High-Fat/adverse effects* ; RNA, Messenger/metabolism*

Objective:To study correlation between carotid atherosclerosis(AS)stenotic severity and myocardial infarction(MI)size assessed by carotid color ultrasonography.Methods:According to infarction size,a total of 180 MI patients trea-ted in our hospital were divided into focal necrosis group(n=92),small-medium size infarction group(n=45)and large size infarction group(n=43).Carotid artery stenosis,peak systolic flow velocity(PSV),end diastolic flow velocity(EDV),number of AS plaques and MI location were compared among all group.And correlation between carotid AS ste-notic severity and MI size was analyzed.Results:Compared with focal necrosis group,there were significant reductions in PSV[(101.43±23.16)cm/s vs.(154.35±65.73)cm/s vs.(325.19±105.27)cm/s]and EDV[(34.19±19.36)cm/s vs.(77.13±20.61)cm/s vs.(138.41±84.93)cm/s]in small-medium size infarction group and large size infarction group,and above indexes of large size infarction group were significantly higher than those of small-medium size infarction group(P=0.001 all).Compared with focal necrosis group and small-medium size infarction group,there were significant rise in percentages of severe carotid stenosis(4.35%,11.11%vs.37.27%),occlusion(1.09%,4.44%vs.27.91%),number of atherosclerotic plaque＞2(38.04%,40.00%vs.65.12%)and anterior infarction(32.61%,35.56%vs.69.77%),and significant reduction in percentage of posterior infarction(48.91%,44.44%vs.23.26%)in large size infarction group(P＜0.05 or＜0.01).Spearman correlation analysis indicated that carotid AS stenotic severity was significant positively cor-related with MI size(r=0.733,P=0.001).Conclusion:Incidence rates of severe carotid stenosis and occlusion are higher in patients with large size myocardial infarction.Carotid AS stenotic severity is significant positively correlated with myo-cardial infarction size,which possesses certain application value in detecting myocardial infarction.

Protein polypeptides and polysaccharides, the indispensable macromolecular active components in traditional Chinese medicine, are widely found in Chinese medicine decoction after the decoction of traditional Chinese medicine. However, through oral administration, these macromolecules are digested by the stomach and intestine and thus fail to be absorbed in prototype. This is inconsistent with the actual clinical efficacy of Chinese medicine decoction. According to modern research, new phase structures and effects of the macromolecules emerge during the decoction of traditional Chinese medicine, but the phase change law caused by the interaction among the components of traditional Chinese medicine and the relationship between phase structure and effect are still unclear. Thus, this study reviewed the oral absorption of macromolecular components of traditional Chinese medicine, analyzed the internal relationship of the form of macromolecules in traditional Chinese medicine with the absorption and effect based on phase structure, and summarized the research mode of oral absorption and effect of macromolecules in traditional Chinese medicine with phase structures as the core, providing new ideas and methods for future research.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal/chemistry* ; Stomach ; Administration, Oral