AIM To establish an HPLC method for the simultaneous content determination of 5-hydroxymethylfurfural,chlorogenic acid,caffeic acid,strychnine,paeoniflorin,ferulic acid,paeoniflorin Ⅰ,epimedium glycoside,psoralen,isopsoralen and glycyrrhetinic acid in Bunao Soft Capsules.METHODS The analysis was performed on a 35 ℃ thermostatic Waters Symmetry C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-0.1％phosphoric acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelengths were set at 230,280 nm.RESULTS Eleven constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.47％-103.30％with RSDs of 1.13％-2.80％.CONCLUSION This simple and reliable method can be used for the quality control of Bunao Soft Capsules.

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 conduct a quantitative risk assessment of Listeria monocytogenes(LM)in prepackaged,non-vacuum sealed,short shelf-life,ready-to-eat meat products in Chengdu using the@Risk software.Methods Based on monitoring data of LM contamination in pre-packaged,non-vacuum sealed,refrigerated ready-to-eat meat products in Chengdu obtained from a previous study,a risk assessment model was established.The risk of LM infection caused by consuming cooked meat products in different groups of people was quantitatively assessed.In addition,the growth of LM in cooked meat products,from retail to consumption,was also taken into consideration in the assessment.Results In Chengdu,the numbers of potential cases of listeriosis caused by consumption of prepackaged,non-vacuum sealed,refrigerated ready-to-eat meat products were 0.01(95％confidence interval[CI]:0-1.71 × 10-2)per year per million in healthy individuals aged 5-＜65 years old,0.22(95％CI:0-2.67 × 10-1)in healthy individuals aged 65 and above,and 2.88(95％CI:3.85 × 10-8-4.35)in pregnant women.According to the results of the sensitivity analysis,the initial pollution level of LM in the retail stage was the most important factor affecting the prevalence(R=0.25),followed by retail temperature(R=0.08),retail time(R=0.07),and amount of consumption per meal(R=0.07).Conclusions For pre-packaged,non-vacuum sealed,cooked meat products,the most important measure to reduce the prevalence of listeriosis is to control the initial contamination level,which requires food processing plants to regularly clean and strictly disinfect the processing environment and equipment to minimize LM contamination at the source.Retail delicatessens should strictly maintain a storage temperature below 5.0℃ and strictly adhere to product shelf-life recommendations.As for consumers,they should consume these meat products as soon as possible after purchase or store them under refrigerated conditions and shorten the storage time.Pregnant women should thoroughly heat the meat products before eating to reduce the risk of listeriosis.

Objective To design a new type of elastic gloves for burn scar rehabilitation to solve the problems of conventional elastic gloves in pressure distribution,elasticity maintenance and absorption of sweat stains.Methods The new elastic gloves was made of non-woven fabric by spandex material,which was composed of external and internal parts.The main body of the external part was used as the primary structure of the gloves,which was provided with a sealing strip,a storage bag,a drawstring,etc.The internal part consisted of a bonding sheet,an elastic band,a fiber sheet,an absorbent sponge,some breathable holes,etc.Results The new elastic gloves designed could be used for the pressure therapy for the scars on the opisthenar,palm side,finger web and purlicue with scar proliferation inhibitted effectively,and the breathable hole and absorbent sponge contributed to the absorption of the sweat of the patient.Conclusion The new type of elastic gloves gains advantages in elasticity,wearing comfort and effectiveness of the pressure therapy for purlicue and finger web,and can be used for the pressure therapy to inhibit proliferative scarring after burns.[Chinese Medical Equipment Journal,2025,46(8):118-120]

Objective:To explore the differences in bacterial communities within tissues during the process of oral mucosal carcinogenesis, and analyze the relationship between the high-abundance species Prevotella intermedia (Pi) and the occurrence and development of oral mucosal carcinogenesis. Methods:Fresh tissue samples were collected from patients diagnosed with oral leukoplakia (OLK), oral squamous cell carcinoma (OSCC), and healthy controls (HC) at Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, from January 2022 to November 2024, following strict inclusion criteria. Bacterial DNA was extracted from these specimens, and the 2bRAD sequencing for microbiome (2bRAD-M) was employed to analyze and compare the α and β diversity, as well as the community composition of bacteria within tissues, aiming to identify specifically expressed bacteria. Subsequently, paraffin-embedded clinical specimens were collected: 15 cases in the OLK group (including 4 cases of simple hyperplasia, 6 cases of mild dysplasia, and 5 cases of moderate to severe dysplasia), 12 cases in the OSCC group, and 5 cases in the HC group. A 4-nitroquinoline N-oxide (4NQO)-induced OLK progression mouse model was also constructed. Mice were randomly divided into three groups using a random number table, with six in each group. The negative control group was given distilled water to drink; Group 1 was given distilled water containing 4NQO to drink until week 12, while Group 2 was given distilled water containing 4NQO to drink until week 22. After the mice were sacrificed, their tongue tissue were collected and fixed. Fluorescence in situ hybridization (FISH) with specific probes was used to validate the presence of Pi in human and mouse tissue sections, analyzing the correlation between histopathological grading and the invasion depth of Pi.Results:The 2bRAD-M microbial analysis revealed that the relative abundance of Pi in OSCC tissues (10.80%) was significantly higher than in the HC group (0.50%) ( P=0.001) and OLK group (0.70%) ( P=0.002). FISH probe detection showed that the fluorescence intensity of Pi in human OSCC tissues [123.50 (101.00, 142.30)] was higher than in the HC group [0.00 (0.00, 28.50)], simple hyperplasia OLK [0.00 (0.00, 35.25)], and mild dysplasia OLK [24.50 (0.00, 55.50)] groups, with statistically significant differences respectively ( P=0.002, P=0.003, P=0.005). However, there was no significant difference compared to moderate to severe dysplasia OLK [56.00 (28.00, 62.50)] ( P=0.210). The fluorescence area of Pi in human OSCC tissues [8 615.00 (7 439.00, 11 084.00)] was significantly larger than in the HC group [0.00 (0. 00, 45.00)], simple hyperplasia OLK group [0.00 (0.00, 81.00)], mild dysplasia [49.00 (0.00, 151.00)], and moderate to severe dysplasia groups [1 450.00 (454.00, 2 892.00)], with highly significant differences ( P<0.001). There was a significant correlation between the invasive depth of Pi and the degree of histopathological grading ( P<0.001). In mice, the fluorescence intensity of Pi in OSCC tissues [120.00 (110.00, 127.00)] was significantly higher than in the HC group [0.00 (0.00, 12.25)] ( P<0.01), but showed no significant difference compared with the OLK group [50.00 (0.00, 58.00)] ( P>0.05). The fluorescence area of Pi in mice OSCC tissues [11 020.00 (6 790.00, 12 102.00)] was significantly larger than in the HC group [0.00 (0.00, 56.75)] and the OLK group [0.00 (0.00, 751.50)] ( P=0.006, P=0.043). There is a significant correlation between the depth of invasion of Pi and the degree of histopathological grading ( P<0.01). Conclusions:This study suggests that Pi in oral mucosal tissue may be a potential biomarker for early detection of OSCC and play an important role in the carcinogenesis process of oral mucosa.

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 differences in bacterial communities within tissues during the process of oral mucosal carcinogenesis, and analyze the relationship between the high-abundance species Prevotella intermedia (Pi) and the occurrence and development of oral mucosal carcinogenesis. Methods:Fresh tissue samples were collected from patients diagnosed with oral leukoplakia (OLK), oral squamous cell carcinoma (OSCC), and healthy controls (HC) at Nanjing Stomatological Hospital, Affiliated Hospital of Medical School, Nanjing University, from January 2022 to November 2024, following strict inclusion criteria. Bacterial DNA was extracted from these specimens, and the 2bRAD sequencing for microbiome (2bRAD-M) was employed to analyze and compare the α and β diversity, as well as the community composition of bacteria within tissues, aiming to identify specifically expressed bacteria. Subsequently, paraffin-embedded clinical specimens were collected: 15 cases in the OLK group (including 4 cases of simple hyperplasia, 6 cases of mild dysplasia, and 5 cases of moderate to severe dysplasia), 12 cases in the OSCC group, and 5 cases in the HC group. A 4-nitroquinoline N-oxide (4NQO)-induced OLK progression mouse model was also constructed. Mice were randomly divided into three groups using a random number table, with six in each group. The negative control group was given distilled water to drink; Group 1 was given distilled water containing 4NQO to drink until week 12, while Group 2 was given distilled water containing 4NQO to drink until week 22. After the mice were sacrificed, their tongue tissue were collected and fixed. Fluorescence in situ hybridization (FISH) with specific probes was used to validate the presence of Pi in human and mouse tissue sections, analyzing the correlation between histopathological grading and the invasion depth of Pi.Results:The 2bRAD-M microbial analysis revealed that the relative abundance of Pi in OSCC tissues (10.80%) was significantly higher than in the HC group (0.50%) ( P=0.001) and OLK group (0.70%) ( P=0.002). FISH probe detection showed that the fluorescence intensity of Pi in human OSCC tissues [123.50 (101.00, 142.30)] was higher than in the HC group [0.00 (0.00, 28.50)], simple hyperplasia OLK [0.00 (0.00, 35.25)], and mild dysplasia OLK [24.50 (0.00, 55.50)] groups, with statistically significant differences respectively ( P=0.002, P=0.003, P=0.005). However, there was no significant difference compared to moderate to severe dysplasia OLK [56.00 (28.00, 62.50)] ( P=0.210). The fluorescence area of Pi in human OSCC tissues [8 615.00 (7 439.00, 11 084.00)] was significantly larger than in the HC group [0.00 (0. 00, 45.00)], simple hyperplasia OLK group [0.00 (0.00, 81.00)], mild dysplasia [49.00 (0.00, 151.00)], and moderate to severe dysplasia groups [1 450.00 (454.00, 2 892.00)], with highly significant differences ( P<0.001). There was a significant correlation between the invasive depth of Pi and the degree of histopathological grading ( P<0.001). In mice, the fluorescence intensity of Pi in OSCC tissues [120.00 (110.00, 127.00)] was significantly higher than in the HC group [0.00 (0.00, 12.25)] ( P<0.01), but showed no significant difference compared with the OLK group [50.00 (0.00, 58.00)] ( P>0.05). The fluorescence area of Pi in mice OSCC tissues [11 020.00 (6 790.00, 12 102.00)] was significantly larger than in the HC group [0.00 (0.00, 56.75)] and the OLK group [0.00 (0.00, 751.50)] ( P=0.006, P=0.043). There is a significant correlation between the depth of invasion of Pi and the degree of histopathological grading ( P<0.01). Conclusions:This study suggests that Pi in oral mucosal tissue may be a potential biomarker for early detection of OSCC and play an important role in the carcinogenesis process of oral mucosa.

In this study, the reductive amination method was used to label IR783 on Astragalus polysaccharides(APS) for the first time, which was verified by ultraviolet-visible spectroscopy and infrared spectroscopy. Quantitative analysis methods of APS-IR783 in plasma and various tissue were established using a multifunctional microplate reader. The pharmacokinetics and tissue distribution of APS-IR783 in mice were investigated after a single intravenous injection of 30 mg·kg~(-1) APS-IR783, and pharmacokinetic parameters were calculated using DAS 2.0 software. The results showed that the APS used had a mass fraction of 93.69%, a relative molecular weight of 1.55×10~5, and a polydispersity index(PDI, M_w/M_n) of 1.73, close to a homogeneous polysaccharide. The IR783 labeling yield reached 86.50%, and the content of IR783 in APS-IR783 was 0.72%. After a single intravenous injection of 30 mg·kg~(-1), the pharmacokinetic parameters of APS in mouse plasma were as follows: T_(max) was(0.67±0.26) h; C_(max) was(1 599.29±159.30) mg·L~(-1); T_(1/2α) and T_(1/2β) were(2.29±3.06) h and(0.44±0.05) h, respectively; AUC_(0-t) was(23 398.91±2 907.03) mg·h·L~(-1); AUC_(0-∞) was(27 710.55±3 506.55) mg·h·L~(-1); MRT_(0-∞) was(34.38±12.59) h; CL was 0.001 L·h~(-1)·kg~(-1); V_z was(0.042±0.017) L·kg~(-1). The in vivo biodistribution study demonstrated that the in vivo exposure ratios of APS in different tissue were in the following order: spleen > liver > kidney > lung > heart > small intestine > muscle > large intestine > brain > stomach, where the top five tissue accounted for 87.54% of the total area under the curve(AUC). This study successfully labeled APS with a water-soluble near-infrared fluorescent probe of IR783 for the first time and revealed the pharmacokinetics and tissue distribution of APS in mice. The paper provides detailed in vivo behavior of APS after intravenous injection, which lays the foundation for the development and utilization of APS and related natural medicines.
Animals ; Mice ; Polysaccharides/chemistry* ; Tissue Distribution ; Astragalus Plant/chemistry* ; Male ; Drugs, Chinese Herbal/chemistry* ; Fluorescent Dyes/pharmacokinetics* ; Female

OBJECTIVE: This study examines the sequential mediating roles of body pain and self-reported health in the association between sleep duration and self-reported life satisfaction among elderly Chinese adults. METHODS: Data from the fifth wave of the China Health and Retirement Longitudinal Survey (CHARLS) were used to analyse the relationships between sleep duration and body pain, self-reported health, and life satisfaction through logistic regression and Restricted Cubic Spline (RCS) analyses. The sequential mediation effects of body pain and self-reported health status were examined via chain mediation analysis. RESULTS: Logistic regression analysis showed that sleeping fewer than 6 hours or 6-7 hours was linked to higher risks of body pain, poor health, and dissatisfaction with life compared to sleeping 7-8 hours (all P < 0.05). Additionally, those sleeping more than 9 hours also had increased risks of poor health and dissatisfaction with life compared to those sleeping 7-8 hours (all P < 0.05). Chain mediation analysis showed that body pain and self-reported health status sequentially mediated 46.15% of the association between sleep duration and life satisfaction. CONCLUSION Body pain and self-reported health may shape the relationship between sleep duration and life satisfaction in elderly Chinese adults.
Humans ; Male ; Female ; Aged ; Personal Satisfaction ; Sleep ; Health Status ; Self Report ; China ; Middle Aged ; Longitudinal Studies ; Pain/psychology* ; Sleep Duration