Background Recent advances in understanding the toxic effects of inorganic arsenic have revealed that arsenic exposure impacts multiple endocrine organs, thereby altering their functions. However, the mechanisms underlying arsenic-induced thyroid injury remain unclear. Objective To investigate the mechanisms by which sodium arsenite (NaAsO₂) affects the proliferation and apoptosis of normal thyroid cells (Nthy-ori3-1) through the estrogen receptor (ER)-phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway. Methods Nthy-ori3-1 cells were cultured in vitro and divided into the following groups: a control group (complete medium without drugs, 0 μmol·L⁻¹), and NaAsO₂-treated groups at 1, 2, and 4 μmol·L⁻¹. Additionally, 1 μmol·L⁻¹ of the ER inhibitor ICI182780 was used to intervene in the NaAsO₂ exposure groups, resulting in the following combinations: 1 μmol·L⁻¹ NaAsO₂ + ICI182780, 2 μmol·L⁻¹ NaAsO₂ + ICI182780, and 4 μmol·L⁻¹ NaAsO₂ + ICI182780. The median lethal concentration of NaAsO₂ was determined using cell viability assay. Cell viability was assessed at 24, 36, and 48 h using Cell Counting Kit-8 (CCK-8) assay. Colony formation ability was evaluated via plate cloning assay. Apoptosis was detected using Hoechst 33342 staining. Protein and mRNA expression levels of ERα, ERβ, c-MYC, Bax, Bcl-2, PI3K, p-PI3K, AKT, and p-AKT were measured using Western blot (WB) and real-time quantitative PCR (qRT-PCR), respectively. Results The median lethal concentration of NaAsO₂ was determined to be 4.034 μmol·L⁻¹. CCK-8 assay at 24, 36, and 48 h revealed that, compared with the control group, the 1, 2, and 4 μmol·L⁻¹ NaAsO₂ groups significantly inhibited Nthy-ori3-1 cell proliferation (P < 0.001). The plate cloning assays demonstrated a concentration-dependent reduction in colony formation ability (P < 0.001). Following the ICI182780 intervention, the cell viability and colony formation ability in the 1, 2, and 4 μmol·L⁻¹ NaAsO₂ groups were significantly restored compared with the corresponding NaAsO₂-only groups (P < 0.001, P < 0.01). The Hoechst 33342 staining indicated that compared with the control group, the nuclear staining intensity and apoptosis levels in the 1, 2, and 4 μmol·L⁻¹ NaAsO₂ groups increased in a concentration-dependent manner (P < 0.001). However, the ICI182780 intervention reduced the apoptosis levels in the NaAsO₂-treated groups compared with their NaAsO₂-only counterparts (P < 0.001). The WB analysis showed that, compared with the control group, the protein expression of ERα, ERβ, c-MYC, Bcl-2, p-PI3K, and p-AKT in the 1, 2, and 4 μmol·L⁻¹ NaAsO₂ groups decreased manner (P < 0.001, P < 0.01), while the Bax expression increased in a concentration-dependent (P < 0.001); the PI3K and AKT protein levels showed no significant differences (P > 0.05). In the ICI182780-treated NaAsO₂ groups, the ERα, ERβ, c-MYC, Bcl-2, p-PI3K, and p-AKT protein expression increased (P < 0.001, P < 0.01), the Bax expression decreased (P < 0.001), and the PI3K and AKT levels remained unchanged (P > 0.05) compared with the corresponding NaAsO₂-only groups. The mRNA expression patterns of ERα, ERβ, c-MYC, Bcl-2, and Bax were consistent with the WB results. Conclusion NaAsO₂ inhibits proliferation and promotes apoptosis in Nthy-ori3-1 cells in a dose-dependent manner. The underlying mechanism likely involves NaAsO₂-mediated suppression of the ER-PI3K/AKT signaling pathway, which subsequently regulates downstream proliferation- and apoptosis-related genes.

Objective:To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli ( E.coli), Klebsiella pneumoniae ( K.pneumoniae), and Pseudomonas aeruginosa ( P.aeruginosa). Methods:This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet′s local feature extraction with Dinov2′s global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models′ classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model′s classification capability across the four image categories. Results:The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated.Conclusion:This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

Objective:To compare the effects of different appointment regimens on the daily waiting time, fixedness of treatment time and lateness rate of radiotherapy patients.Methods:Medical records of 5488 radiotherapy from 332 patients on the same linear accelerator in West China Hospital of Sichuan University from March to June 2022 were selected. Based on the radiotherapy information integration platform of MOSAIQ, all patients were randomly assigned to the morning class, afternoon class and evening class. Traditional manual appointment regimen was adopted for the morning class, 30 min appointment regimen for the afternoon class, and 15 min appointment regimen for the evening class, respectively. The differences in patient waiting time for treatment, fixedness of treatment time, and lateness rate under different appointment regimens were compared. The fixedness of treatment time and waiting time was determined by one-way ANOVA, and the 2×3 Chi-square test was adopted for the lateness rate. Results:The waiting time in the 15 min appointment, the 30 min appointment and manual appointment groups were (27.08 ± 17.21), (34.57± 19.12) and (41.50 ±20.94) min, respectively. There was statistical significance among three appointment regimens ( F=254.97, P<0.001). The waiting time was the shortest in the 15 min appointment group, followed by the 30 min appointment group, and the manual appointment group (all P<0.001 for two-group comparison). The fixedness of treatment time in the 15 min appointment, the 30 min appointment and the manual appointment groups were (15.60±7.87), (18.69±8.94) and (24.30±15.10) min, respectively. There was statistical significance among three groups ( F=25.23, P<0.001). Among them, the fixedness of treatment time in the 15 min appointment group was the highest, followed by the 30 min appointment group, and the manual appointment group (all P<0.001). The lateness rates in the 15 min appointment, the 30 min appointment and the manual appointment groups were 5.7%, 6.2% and 9.6%, respectively. The lateness rate in the manual appointment group was higher than those in the 15 min appointment and the 30 min appointment groups ( χ2=19.24、14.90, both P<0.001), but there was no statistical significance in the lateness rate between the 15 min appointment and 30min appointment groups ( χ2=0.39, P=0.535). Conclusion:In the clinical practice of conventional intensity-modulated radiotherapy technology carried out by conventional linear accelerator, the 15 min appointment regimen can shorten the waiting time for radiotherapy and improve the fixedness of daily radiotherapy time, which is worthy of clinical promotion.

In recent years, research on the quality and safety detection of bear bile powder has mainly involved three aspects. First, the identification of active components and substitutes. Quantitative analysis of bile acids and other components is performed using HPLC, HPLC-tandem mass spectrometry, and other techniques, combined with near-infrared spectroscopy, X-ray diffraction, and polymerase chain reaction to identify adulteration. Isotope fingerprint analysis and glycosylation modification detection are used to distinguish natural products from biosynthetic substitutes, revealing significant differences in δ13C values and the proportion of specific glycosylation modifications between natural bear bile powder and synthetic products. Second, the detection of veterinary drug residues, mainly based on ultra-high performance liquid chromatography-tandem mass spectrometry, which can screen over 100 types of residues, but targeted purification strategies are needed to address interference from the bile acid matrix. Thirdly, heavy metal detection, mainly using inductively coupled plasma mass spectrometry and atomic absorption spectrometry, has revealed that contamination is associated with the breeding environment, with significant regional differences. Related detection technologies are gradually evolving from single-target analysis to multi-modal and intelligent approaches. Existing research faces issues, such as matrix effect interference, lack of international standards, and ethical controversies. It is suggested that future efforts should focus on the interdisciplinary application of detection technologies, develop rapid detection methods such as non-invasive monitoring and microfluidic chips, promote the standardization and equivalence evaluation of synthetic alternatives, and establish a full-chain quality control system integrating spatially resolved mass spectrometry imaging, artificial intelligence, and big data.

Objective:To develop CNN-Dinov2, a deep learning-based automatic classification model for Gram-stained images, enabling rapid diagnosis of three prevalent Gram-negative bacilli in bloodstream infections: Escherichia coli ( E.coli), Klebsiella pneumoniae ( K.pneumoniae), and Pseudomonas aeruginosa ( P.aeruginosa). Methods:This evaluation study analyzed 1 425 Gram-stained microscopic images from patients with bloodstream infections at Houjie Hospital, in Dongguan City, collected between January 2023 and January 2024. The images, all positive for blood culture and identified as target strains, were categorized into Escherichia coli (419 images), Klebsiella pneumoniae (411 images), Pseudomonas aeruginosa (413 images), and other Gram-negative bacilli (182 images). They were randomly split into a training set (1 141 images), a validation set (141 images), and a test set (143 images) in an 8∶1∶1 ratio. A hybrid CNN-Dinov2 model was developed by integrating ResNet′s local feature extraction with Dinov2′s global pre-trained features, followed by a fully connected layer. The model was optimized by inputting the preprocessed images and adjusting parameters through loss calculation and backpropagation. AlexNet, Dinov2, and ResNet18 served as control models. The models′ classification performance was assessed using accuracy, precision, weighted F1 score, and recall rate, derived from the confusion matrix. The PR curve and AP value further evaluated each model′s classification capability across the four image categories. Results:The CNN-Dinov2 model achieved a training accuracy of 99.74%, a validation accuracy of 98.12%, and a validation loss of 0.070 6, demonstrating robust generalization without overfitting. Validation metrics revealed superior performance with an accuracy of 98.60%, precision of 98.65%, a weighted F1 score of 98.60%, and a recall rate of 98.60%, outperforming other models. The confusion matrix confirmed its strong classification capability, with the highest sum of diagonal values for identifying four types of bacteria. The macro average precision (AP) values under the precision-recall (PR) curves were all 1, indicating excellent discrimination across all categories. Overall, the CNN-Dinov2 model exhibited the best performance among the four models evaluated.Conclusion:This study successfully developed CNN-Dinov2, an automated classification model for Gram staining images. It offers valuable support for the rapid diagnosis of bloodstream infections caused by Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa, demonstrating practical utility.

Objective:To compare the effects of different appointment regimens on the daily waiting time, fixedness of treatment time and lateness rate of radiotherapy patients.Methods:Medical records of 5488 radiotherapy from 332 patients on the same linear accelerator in West China Hospital of Sichuan University from March to June 2022 were selected. Based on the radiotherapy information integration platform of MOSAIQ, all patients were randomly assigned to the morning class, afternoon class and evening class. Traditional manual appointment regimen was adopted for the morning class, 30 min appointment regimen for the afternoon class, and 15 min appointment regimen for the evening class, respectively. The differences in patient waiting time for treatment, fixedness of treatment time, and lateness rate under different appointment regimens were compared. The fixedness of treatment time and waiting time was determined by one-way ANOVA, and the 2×3 Chi-square test was adopted for the lateness rate. Results:The waiting time in the 15 min appointment, the 30 min appointment and manual appointment groups were (27.08 ± 17.21), (34.57± 19.12) and (41.50 ±20.94) min, respectively. There was statistical significance among three appointment regimens ( F=254.97, P<0.001). The waiting time was the shortest in the 15 min appointment group, followed by the 30 min appointment group, and the manual appointment group (all P<0.001 for two-group comparison). The fixedness of treatment time in the 15 min appointment, the 30 min appointment and the manual appointment groups were (15.60±7.87), (18.69±8.94) and (24.30±15.10) min, respectively. There was statistical significance among three groups ( F=25.23, P<0.001). Among them, the fixedness of treatment time in the 15 min appointment group was the highest, followed by the 30 min appointment group, and the manual appointment group (all P<0.001). The lateness rates in the 15 min appointment, the 30 min appointment and the manual appointment groups were 5.7%, 6.2% and 9.6%, respectively. The lateness rate in the manual appointment group was higher than those in the 15 min appointment and the 30 min appointment groups ( χ2=19.24、14.90, both P<0.001), but there was no statistical significance in the lateness rate between the 15 min appointment and 30min appointment groups ( χ2=0.39, P=0.535). Conclusion:In the clinical practice of conventional intensity-modulated radiotherapy technology carried out by conventional linear accelerator, the 15 min appointment regimen can shorten the waiting time for radiotherapy and improve the fixedness of daily radiotherapy time, which is worthy of clinical promotion.

Objective:To investigate the clinical phenotype and genetic characteristics of patients with Fabry disease caused by a GLA variant, IVS4+919G>A.Methods:It was a prospective study. Fabry disease screening was conducted among high-risk population in Ninghai from October 2021 to August 2023. Those children with decreased α-galactosidase enzyme activity<2.40 μmol/(L·h) or elavated Lyso-GL-3 level>1.10 μg/L in dried blood spot (DBS) method underwent GLA genetic testing for diagnosis confirmation. Meanwhile, family screening was carried out. A proband and his family members diagnosed with Fabry disease were research subjects. The clinical and genetic characteristics of patients with Fabry disease caused by the GLA variant (IVS4+919G>A) were analyzed.Results:The female proband aged 9.8 years with pain in both lower limbs as the initial symptom was found to have a heterozygous GLA variant IVS4+919G>A among 102 patients. In family screening, there were 4 family members (proband's father, elder sister, elder male cousin and elder female cousin) with Fabry disease and a family member (proband's fifth aunt) with a GLA variant. Among these 4 diagnosed family members, the elder male cousin of the proband, a boy aged 13.2 years had a heterozygous GLA variant, IVS4+919G>A with intermittent pain in both lower limbs as the initial symptom. The proband′s father had knee joint pain. The proband′s elder sister had decreased vision and his elder female cousin had no obvious symptoms. The proband′s fifth aunt with a GLA variant had decreased vision.Conclusions:High-risk screening in children and family screening are helpful for early diagnosis and treatment of Fabry disease. Neuropathic pain may be a early symptom in children with Fabry disease caused by the GLA variant, IVS4+919G>A.

OBJECTIVES: To develop a Chinese version of the Long-Term Conditions Questionnaire (LTCQ) and to test its reliability and validity in Chinese patients with chronic diseases. METHODS: With the consent of the original authors, a Chinese version of LTCQ was developed according to the cultural adjustment guidelines. A questionnaire survey was conducted on 319 patients with chronic diseases in Sir Run Run Shaw Hospital, Wuyi County First People's Hospital and Hangzhou Gongchen Bridge Street Health Service Center. The questionnaire was evaluated by item analysis (including frequency analysis, total question correlation method and critical ratio method), reliability analysis (Cronbach's alpha coefficient) and validity analysis [including content validity (expert scoring method) and structural validity (exploratory factor analysis)]. RESULTS The Chinese version of the LTCQ included 20 entries, with a Cronbach's alpha coefficient of 0.926, a retest reliability of 0.829, a split-half reliability of 0.878, an entry content validity index of 1, and a content validity index at the questionnaire level of 1. Four common factors were extracted by exploratory factor analysis, namely physical state and daily life, psychological state, support and coping, and safe environment, with a cumulative variance contribution rate of 67.244%. Discussion: The Chinese version of the LTCQ developed in this study has good reliability and validity and it may be used to assess the long-term conditions of patients with chronic diseases in China.
Humans ; Asian People ; China ; Chronic Disease ; Quality of Life ; Reproducibility of Results ; Surveys and Questionnaires

Background Arsenic can enter the hypothalamus to induce estrogen effect and interfere with the function of the neuroendocrine system. The thyroid endocrine system (hypothalamic-pituitary-thyroid axis) is one of the main endocrine systems, and the mechanism of arsenic-induced thyroid endocrine toxicity is still unclear. Objective To investigate the effects of different arsenic exposure levels on estradiol (E2), hypothalamic thyrotropin-releasing hormone (TRH), and their receptor (ERα, ERβ, and TRHR) mRNAs in rats and the possible hypothalamic toxic pathway and mechanism. Methods Seventy Wister rats were randomly divided a control group (sterile water); low-, medium-, and high-dose arsenic exposure groups [0.8, 4.0, and 20.0 mg·kg⁻¹ sodium arsenite (NaAsO₂)]; estrogen receptor inhibitor (ICI182780) intervention + low-, medium-, and high-dose arsenic exposure groups; with 10 animals in each group, half male and half female. Rats in the arsenic exposure groups were exposed to NaAsO₂ by drinking water for 19 weeks, and rats in the intervention groups were injected with 0.5 mg·kg⁻¹ ICI182780 via tail vein at week 9, 3 times a week. The levels of E2 and TRH in serum of rats were detected by ELISA. The expression levels of estrogen receptor α (ERα), estrogen receptor β (ERβ), and TRH receptor (TRHR) mRNAs in hypothalamus of rats were detected by real-time PCR (RT-PCR). Results (1) E2 and its receptor mRNA: Compared with the control group, the serum E2 level of female rats was increased in the low-dose and the medium-dose arsenic exposure groups (P<0.05), and the serum E2 level of male rats was increased in the low-dose, the medium-dose, and the high-dose arsenic exposure groups (P<0.05), and the change of female E2 was greater than that of male rats. Compared with the control group, the relative expression levels of ERα mRNA and ERβ mRNA in female rats were increased in the low-dose, the medium-dose, and the high-dose arsenic exposure groups (P<0.05), so were the relative expression levels of ERα mRNA in male rats (P<0.05). (2) TRH and its receptor mRNA: Compared with the control group, the serum TRH level of female rats was increased in the high-dose arsenic group (P<0.05), the relative expression level of TRHR mRNA was increased in the low-dose, the medium-dose, and the high-dose arsenic exposure groups (P<0.05). Results (1) and results (2) suggested that females were more likely than males to have abnormal changes in E2, TRH, and related receptor genes after arsenic exposure. (3) Compared with female rats in the medium-high dose arsenic exposure group, the expressions of TRH and TRHR induced by arsenic exposure were inhibited after the intervention of ICI182780 (P<0.05), suggesting that arsenic in the hypothalamus may have toxic effects on TRH and TRHR by inducing estrogen-like effects. Conclusion Arsenic exposure can induce estrogen-like effects in the hypothalamus, interfere with thyroid function, and show dose-dependent and sex differences. E2 and TRH and their receptors may be the toxic pathway of arsenic-related estrogen-like effect.

Objective:Based on the principle that the aggregation-induced emission (AIE) fluorescent probe 6PD-DPAN could bind and aggregate with bacteria, and the fluorescence intensity could reflect the quantity of bacteria, a new method for rapid, convenient, and accurate bacterial drug sensitivity testing was established, which provided a basis for rapid and accurate clinical drug use.Methods:This was a methodological evaluation study. A total of 107 clinical isolates were collected from Houjie Hospital of Dongguan City from January to December 2022, among which 46 isolates were used for the establishment of the new method, and 61 isolates were used for methodological validation. The minimum inhibitory concentration (MIC) determined by broth microdilution method was used as the gold standard, and three antibacterial drugs, gentamicin, levofloxacin, and cefotaxime, were used as experimental drugs. The AIE plate was incubated for 4 hours, and the fluorescence intensity was measured every half an hour to draw a fluorescence change curve. The MIC results were compared with the CLSI breakpoints to determine the bacteria as sensitive, intermediate, or resistant. To simplify the detection process, the ratio of fluorescence intensity at 4 hours(R) was calculated, and the ROC curve was used to analyze the efficacy of R in determining bacterial growth and establish its cutoff value. The new method was used to determine the MIC of 61 clinical isolates, with broth microdilution method as the gold standard. The basic consistency, categorical consistency, very major errors, and major errors of the new method were analyzed, and the consistency between the two methods was determined by the Kappa test.Results:ROC curve analysis of the R after 4 hours of culture: The cut-off value was 3.0, with both sensitivity and specificity for determining bacterial growth being 100%. The median (interquartile) R for bacterial growth inhibition was 11.1 (8.6, 14.4); the median R-value for bacterial growth was 1.1 (1.0, 1.2). Compared to the gold standard, the newly established method showed 100% (61/61) essential agreement in detecting MICs of 61 clinical isolates, with a categorical agreement of 96.7% (59/61). There were no very major or major errors, and the Kappa value was 0.94, indicating good consistency between the newly established method and the microbroth dilution method.Conclusions:This study successfully established a new method for bacterial drug sensitivity testing based on AIE technology, which could obtain satisfactory results within 5 hours, providing a basis for early precision drug treatment in clinical practice.