OBJECTIVE To prepare an intelligent responsive liposome-hydrogel nanopreparation co-loaded with gambogic acid （GA）， and characterize its antitumor activity in vitro . METHODS GA-ICG-Lip-gel was prepared by ethanol injection and cold dissolution， incorporating GA and the photosensitizer indocyanine green （ICG）. The appearance and microscopic morphology of GA-ICG-Lip-gel were observed， its encapsulation efficiency and drug loading capacity were measured， and its photothermal conversion performance， photothermal stability， and infrared imaging properties were investigated， along with the determination of its in vitro release profile. Human breast cancer MCF-7 cells were used as objects to investigate the effects of GA-ICG-Lip-gel （or with near-infrared light irradiation） on cell viability， migration ability， and the cellular uptake capacity of GA-ICG-Lip-gel. RESULTS GA-ICG-Lip-gel existed in a solution state at room temperature and transformed into a gel state at 37 ℃. Its microstructure was dense with small pores， and its encapsulation efficiency and drug loading were （96.07±0.86） % and （6.28±1.16） %， respectively. After exposure to near-infrared light， the temperature of GA-ICG-Lip-gel rose above 42 ℃， with no significant attenuation observed in the heating curve. The heating efficiency was dependent on both the irradiation time and drug concentration. Compared to media without gelatinase， the cumulative release rate of GA-ICG-Lip-gel increased in media containing gelatinase. In vitro studies showed that GA-ICG-Lip-gel could be efficiently taken up by MCF-7 cells； GA-ICG-Lip-gel significantly inhibited the viability and migration ability of MCF-7 cells （ P ＜0.05）， and this inhibitory effect was further enhanced under near-infrared light irradiation. CONCLUSIONS This study successfully prepares GA-ICG-Lip-gel， which exhibits favorable photothermal conversion properties and temperature/enzyme dual-responsive drug release characteristics， and demonstrates significant inhibitory effects on the proliferation and migration of breast cancer cells.

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 characteristics of potential categories of chronic disease co-morbid patients' learned helplessness, and to analyze the differential characteristics of different categories of chronic disease co-morbid patients.Methods:Convenience sampling method was used to select patients with chronic disease co-morbidities who attended The NO.1 People's Hospital of Xiangyang, Hubei University of Medicine, from June to December 2023 as survey respondents. General information questionnaire, Learned Helplessness Scale, Health Questionnaire Somatic Symptom Cluster Scale, Kessler Psychological Distress Scale, and Comprehension Social Support Scale were used for the cross-sectional survey. The potential profile of learned helplessness, and the influencing factors of potential categories of learned helplessness was analyzed.Results:A total of 810 patients with chronic co-morbidities were investigated. There were 453 males and 357 females, aged (65.03±10.89) years old. The learned helplessness of these patients was categorized into three different potential categories, which were named as low-level learned helplessness group, medium-level learned helplessness group, high-level learned helplessness, accounting for 17.5% (142/810), 23.5% (190/810), and 59.0% (478/810), respectively. Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe physical symptoms ( OR=1.456, 1.391, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe the psychological distress ( OR=1.359, 1.917, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with lower levels of social support ( OR=0.928, 0.874, both P<0.01). Compared with the low-level learned helplessness group, patients with a duration of illness >5 years were used as controls, patients with a duration of illness 2-5 years were more likely to belong to the medium-level learned helplessness group and high-level learned helplessness group ( OR=74.586, 62.620, both P<0.01). Compared with the low-level learned helplessness group, patients with neutral personalities were compared, patients with extroverted personalities had a lower probability of belonging to the medium-level learned helplessness group ( OR=0.105, P<0.05), while patients with introverted personalities had a lower probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group ( OR=0.052, 0.046, both P<0.01). Conclusions:Patients with chronic disease co-morbidities have higher levels of learned helplessness during disease treatment and have more distinctive categorical characteristics. Healthcare professionals should adopt targeted nursing interventions according to different categories of chronic disease co-morbid patients to reduce the level of learned helplessness.

Objective:To explore the characteristics of potential categories of chronic disease co-morbid patients' learned helplessness, and to analyze the differential characteristics of different categories of chronic disease co-morbid patients.Methods:Convenience sampling method was used to select patients with chronic disease co-morbidities who attended The NO.1 People's Hospital of Xiangyang, Hubei University of Medicine, from June to December 2023 as survey respondents. General information questionnaire, Learned Helplessness Scale, Health Questionnaire Somatic Symptom Cluster Scale, Kessler Psychological Distress Scale, and Comprehension Social Support Scale were used for the cross-sectional survey. The potential profile of learned helplessness, and the influencing factors of potential categories of learned helplessness was analyzed.Results:A total of 810 patients with chronic co-morbidities were investigated. There were 453 males and 357 females, aged (65.03±10.89) years old. The learned helplessness of these patients was categorized into three different potential categories, which were named as low-level learned helplessness group, medium-level learned helplessness group, high-level learned helplessness, accounting for 17.5% (142/810), 23.5% (190/810), and 59.0% (478/810), respectively. Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe physical symptoms ( OR=1.456, 1.391, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with more severe the psychological distress ( OR=1.359, 1.917, both P<0.01). Compared with the low-level learned helplessness group, the probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group was higher for patients with chronic co-morbidities with lower levels of social support ( OR=0.928, 0.874, both P<0.01). Compared with the low-level learned helplessness group, patients with a duration of illness >5 years were used as controls, patients with a duration of illness 2-5 years were more likely to belong to the medium-level learned helplessness group and high-level learned helplessness group ( OR=74.586, 62.620, both P<0.01). Compared with the low-level learned helplessness group, patients with neutral personalities were compared, patients with extroverted personalities had a lower probability of belonging to the medium-level learned helplessness group ( OR=0.105, P<0.05), while patients with introverted personalities had a lower probability of belonging to the medium-level learned helplessness group and high-level learned helplessness group ( OR=0.052, 0.046, both P<0.01). Conclusions:Patients with chronic disease co-morbidities have higher levels of learned helplessness during disease treatment and have more distinctive categorical characteristics. Healthcare professionals should adopt targeted nursing interventions according to different categories of chronic disease co-morbid patients to reduce the level of learned helplessness.

Objective To investigate the characteristics of human papillomavirus (HPV) prevalence and genotype distribution of 18 535 cases in Yuncheng . Methods A sample of 18535 residents who underwent HPV testing in our hospital from August 2020 to September 2023 were enrolled, and HPV genotyping was done to all samples. Then the rate of HPV infection, age distribution, genotype distribution, and multiple infections were statistically analyzed. Results Of the 18,535 subjects included, a total of 4,639 tested positive for HPV, demonstrating a positive rate of 25.03%. The positive rate of HPV infection varied among different age groups (χ²=29.587, P<0.05), with higher rates found in <25 years old group (29.61%) and >60 years old group (25.89%). Overall, 23 genotypes, covering 5315 viruses, were detected. There were 5 low-risk genotypes with the highest percentage of HPV42 (9.29%), and there were 18 high-risk genotypes with HPV52, HPV58, HPV66 and HPV53, subtypes as the most frequent subtypes, accounting for 13.64%, 8.97%, 7.41% and 7.04%, respectively. The type of HPV infection was predominantly single infections, with an overall single infection rate of 21.62% (4008/18535), which accounted for 86.40% (4 008/4 639) of all positive cases, and a multiple genotype infections rate of 3.40% (631/18535). The 25-34 year old group accounted for the largest proportion of single infections (25.12%), while the <25 year old group accounted for the largest proportion of multiple genotype infections (30.74%). Conclusion The prevalence rate of HPV infection in Yuncheng is 25.03%, with a higher positive rate in the <25 years age group and the >60 years age group. A total of 23 HPV genotypes are detected, of which the main genotypes are HPV42, HPV58, HPV66 and HPV53, and the type of infection is dominated by single infections.

AIM:Autophagy levels in lung cancer cisplatin-resistant A549/DDP cells and cisplatin-sensitive A549 cells were compared.The effects of microRNA-126(miRNA-126)on autophagy in lung cancer cisplatin-resistant cells were assessed,and the role of miRNA-126 in lung cancer cisplatin-resistant cells was discussed.METHODS:An MTT assay was used to detect the half maximal inhibitory concentration of cisplatin.The miRNA-126 expression was de-tected by RT-qPCR.Autophagolysosomes were observed under a fluorescence microscope using acridine orange staining.Protein levels of autophagy-associated molecule microtubule-associated protein 1 light chain 3(LC3)in lung cancer cells were determined by Western blot.RESULTS:Autophagy was significantly elevated in A549/DDP cells compared with A549 cells(P<0.01).The expression level of miRNA-126 was significantly elevated in A549/DDP cells after transfection with miRNA-126(P<0.01).miRNA-126 reversed cisplatin resistance of A549/DDP cells,and the level of intracellular acid dye follicular bright red fluorescence in the A549/DDP cells was significantly reduced after transfection with miRNA-126(P<0.01).The LC3-Ⅱ protein level in A549/DDP cells was significantly reduced after transfection with miRNA-126(P<0.01),and inhibition of cell autophagy by 3-methyladenine(3-MA)enhanced cisplatin sensitivity of A549/DDP cells(P<0.01).Compared with 3-MA+NC group,miRNA-126 combined with 3-MA further increased cisplatin sensitivity of A549/DDP cells(P<0.01).CONCLUSION:miRNA-126 reverses the cisplatin resistance in lung cancer A549/DDP cells by inhibiting autophagy.

AIM: To study the effect of growth hormone (GH) and vitamin E (Vit.E) combined in the treatment of endometrial thinning. METHODS: Twenty female SD rats were randomly divided into four groups: control group, model group, GH group and treatment group, with 5 rats in each group. Control group was routinely fed; Rats in model group, GH group and treatment group were injected intrauterine with 95%ethanol during estrus stage to construct a thin endometrial model. Six to eight hours after operation, rats in model group were injected intrauterine with 0.2 mL normal saline, rats in GH group and treatment group were injected with the same amount of GH, and the treatment group was given intragastric treatment of 60 mg/kg Vit.E. The rats were sacrificed 3 estrus cycles (about 2 weeks) after the operation. HE staining was performed on the uterine tissue to identify the model, and the levels of Cytokeratin 19 and Vimentin in the endometrium were detected by immunohistochemical color. RESULTS: The endometrial thickness of the model group was significantly thinner than that of the model group, and the endometrial thickness of the treatment group was significantly higher than that of the control group, but the endometrial thickness of the GH group was slightly lower than that of the control group. The expression levels of keratin and vimentin in model group were lower than those in GH group, control group and treatment group, and the differences were statistically significant. CONCLUSION: Endometrial-related proliferation indexes were significantly increased after GH and vitamin E treatment, and GH and vitamin E could effectively promote the proliferation of endometrial cells.

Objective:To analyze the molecular epidemiological characteristics of measles virus (MV) in Beijing from 2015 to 2019, and to provide laboratory basis for measles elimination.Methods:Measles virus-positive throat swab samples were collected through the Beijing Measles Laboratory network from 2015 to 2019. After the viral nucleic acid was extracted, 450 nucleotide fragments of the C terminal of the N gene of MV were amplified by RT-PCR. Nucleotide sequencing was performed for the amplified products. The phylogenetic tree was constructed with the representative strains of WHO measles virus genotype D8 genotype reference strains in China and other countries. Genotype identification was conducted and the nucleotide and amino acid homology analysis was carried out. A descriptive analysis of measles cases with D8 and B3 genotypes was conducted.Results:From 2015 to 2019, the genotypes of 546 MV were identified in the city, including 531 of H1a genotype, five vaccine strains, one of B3 genotype, and nine of D8 genotype, among which eight were epidemic strains in 2019. The homology of indigenous H1a genotype MV nucleotide and amino acid was 91.5%-100.0% and 73.6%-100.0%.In 2019, all eight cases of D8 genotype measles were adults, with two being an outbreak and the remaining six sporadic cases.Conclusions:The imported D8 genotype had become the main MV genotype in Beijing in 2019. With the decrease of measles incidence in 2019, native genotype H1a was no longer dominant, while other different genotypes were imported, forming a mixed epidemic trend. It was suggested that in the elimination of measles in Beijing, efforts should be made not only to block the transmission of local measles virus, but also to prevent and control the import and continuous transmission of non-local genotype virus, so as to avoid the risk of establishing local transmission by gradually evolving into a dominant strain.

OBJECTIVE：To pre pare Glycyrrhetinic acid-modified docetaxel magnetic nanoparticles （GA-DTX-NGO/IONP- NPs），and to evaluate its physicochemical properties. METHODS ：Magnetic nano graphene oxide （NGO/IONP）was chosen as the anti-tumor drug carrier ，docetaxel（DTX）as the model drug and glycyrrhetinic acid （GA）as the target molecule. Firstly ，NGO/ IONP was synthesized by hydrothermal method and GA-CS was synthesized by amidation reaction. Fourier IR spectrometer ，DSC and vibration sample magnetic measuring instrument were used to characterize NGO/IONP and GA-CS. GA-DTX-NGO/IONP-NPs Huperzine A in the nicotinic acetylcholine receptor alleviates Aβ -induced 1-42 treatment of Alzheimer ’s disease and vascular dementia ：a neurotoxicity via downregulation of p 38 and JNK MAPK meta-analysis[J]. Evid Based Complement Alternat Med ， signaling pathways[J]. Neurochem Int ，2018. DOI ：10. 2014. DOI ：10.1155/2014/363985. 1016/j.neuint.2018.09.005. were prepared by the ion gelation method. TEM and particle size analyzer were used to observe and determine the morphology ， particle size and Zeta potential of GA-DTX-NGO/IONP-NPs ；the ultrafiltration-centrifugation method was used to determine encapsulation efficiency and drug loading amount ；the magnetic properties were investigated by investigating the state with or without external magnetic field ；the photothermal conversion test was carried out with laser irradiation of 808 nm. RESULTS ：NGO/ IONP and GA-CS were successfully synthesized ，and NGO/IONP exhibited superparamagnetism characteristics. GA-DTX-NGO/ IONP-NPs were spherical under TEM ，the particle size was （262.8±4.23）nm and the Zeta potential was （13.6±1.51）mV. The encapsulation rate and drug loading amount were （94.29±0.50）％ and（17.12±0.12）％，respectively. GA-DTX-NGO/IONP-NPs were black in appearance and evenly dispersed. Under the external magnetic field ，the magnetic nanoparticles could move directionally，showing good magnetic properties. GA-DTX-NGO/IONP-NPs showed a good concentration- and time-dependent photothermal conversion effect under 808 nm laser irradiation. CONCLUSIONS ：GA-DTX-NGO/IONP-NPs are successfully prepared. This study could provide some theoretical basis for the combined treatment of magnetic heating-chemotherapy for liver tumors.