OBJECTIVE To explore the main factors influencing the blood concentration of duloxetine， and provide a scientific basis for the individualized use of duloxetine. METHODS Retrospective analysis was conducted on 434 inpatients with depressive disorders at the First Hospital of Hebei Medical University， who were treated with duloxetine and underwent blood concentration monitoring between January 2022 and April 2024. The study examined the impact of various factors， including gender， age， body mass index （BMI）， gene phenotypes， combined medication， drug type （original/generic）， and genotyping results of gene single nucleotide polymorphism loci， on blood concentration and the concentration-to-dose （C/D） after dose adjustment. RESULTS The blood concentration of duloxetine was 76.65 （45.57， 130.31） ng/mL， and C/D was 0.96 （0.63， 1.60） ng·d/（mL·mg）. The blood concentration of duloxetine was positively correlated with the daily dose of administration （R2＝0.253 7， P＜0.001）. Blood concentration of duloxetine in 38.94% of patients exceeded the recommended range specified in the guidelines. Gender， age， BMI， combined use of CYP2D6 enzyme inhibitors， and CYP2D6 and CYP1A2 phenotypes had significant effects on C/D of duloxetine （P＜0.05）. CONCLUSIONS The patient’s age， gender， BMI， combined medication， and genetic phenotypes are closely related to the blood concentration of duloxetine.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

To review the randomized controlled trials (RCTs) at home and abroad on digital intelligence (DI)-driven rehabilitation in patients of neuromuscular disease, compare the effects of DI-driven rehabilitation with traditional rehabilitation, summarize the special needs and challenges faced by patients in rehabilitation of rare neuromuscular diseases, and provide evidence for the development and quality improvement of rehabilitation for rare neuromuscular diseases.

To provide references to and give suggestions to the development and optimiza-tion of Digital Intelligence (DI) technology in management of non-hospitalized patients by systematical review the application of digital technology in non-hospital settings.

Over the past three decades， China has made significant progress in the prevention and control of viral hepatitis， and the incidence rates of new-onset pediatric hepatitis B virus infections and acute viral hepatitis in the population have reduced to a relatively low level； however， there is still a heavy disease burden of chronic viral hepatitis in China， which severely affects the health status of the population. This study systematically summarizes the achievements of viral hepatitis prevention and control in China， analyzes existing problems and challenges， and proposes comprehensive prevention and control strategies and measures to eliminate viral hepatitis as a public health threat based on the national conditions of China， in order to provide a reference for related departments in China on how to achieve the action targets for eliminating viral hepatitis as a public health threat by 2030.

Clinical management of atopic dermatitis (AD) is challenged by its susceptibility to recurrence, side effects, and high costs. We found that Portulaca oleracea L.-derived nanovesicles (PDNV) exert anti-inflammatory effects by modulating macrophage M1/M2 polarization. These effects were achieved through pathways including inhibition of nuclear factor-κB (NF-κB) and stimulator of interferon genes (STING) protein expression in diseased tissues, demonstrating their potential to ameliorate AD symptoms. To increase the transdermal permeation of PDNV, dissolvable microneedles composed primarily of hyaluronic acid (HA) were developed as an adjunctive means of delivery. Meanwhile, polysaccharides of Portulaca oleracea L., which were synergistic with PDNV, were used as microneedle constituent materials to enhance the mechanical properties and physical stability of HA. This new means of delivery significantly improves the treatment of AD and also provides new options for the efficient utilization of plant extracellular vesicles and the treatment of AD. In addition, transcriptomic analysis of PDNV showed that the mRNAs of Portulaca oleracea L. are closest to those of ferns, which may shed light on related evolutionary and plant species identification studies.

The anterior cingulate cortex (ACC) has recently been proposed as a key player in the representation of itch stimuli. However, to date, little is known about the contribution of specific ACC interneuron populations to itch processing. Using c-Fos immunolabeling and in vivo Ca²⁺ imaging, we reported that both histamine and chloroquine stimuli-induced acute itch caused a marked enhancement of vasoactive intestinal peptide (VIP)-expressing interneuron activity in the ACC. Behavioral data indicated that optogenetic and chemogenetic activation of these neurons reduced scratching responses related to histaminergic and non-histaminergic acute itch. Similar neural activity and modulatory role of these neurons were seen in mice with chronic itch induced by contact dermatitis. Together, this study highlights the importance of ACC VIP⁺ neurons in modulating itch-related affect and behavior, which may help us to develop novel mechanism-based strategies to treat refractory chronic itch in the clinic.
Animals ; Pruritus/physiopathology* ; Vasoactive Intestinal Peptide/metabolism* ; Interneurons/metabolism* ; Gyrus Cinguli/metabolism* ; Mice ; Male ; Mice, Inbred C57BL ; Histamine ; Chloroquine ; Optogenetics ; Mice, Transgenic

Objective To explore the immune mechanism of Tibetan medicine Twelve Flavors Yishou San in intervening with acute lung injury.Methods Construct a lipopolysaccharide(LPS)-induced acute lung injury rat model and treated it with Twelve Flavors Yishou San.The intervention effect of Twelve Flavors Yishou San on LPS induced acute lung injury was determined through lung pathological sections and blood gas analysis.Enzyme linked immunosorbent assay(ELISA)was used to detect the expression of pro-inflammatory cytokine tumor necrosis factor-α(TNF-α)and anti-inflammatory cytokine interleukin(IL)-10 in rat's bronchoalveolar lavage fluid.Flow cytometry was used to detect changes in immune cells in rat's bronchoalveolar lavage fluid,lungs,spleen and peripheral blood.Results LPS successfully induced an acute lung injury model in rats,and Twelve Flavors Yishou San could alleviate the exudation of inflammatory cells,elevated oxygen partial pressure in LPS induced acute lung injury to varying degrees.The ELISA results of rat bronchoalveolar lavage fluid showed that compared with normal control group,the TNF-α level in the bronchoalveolar lavage fluid of rats with acute lung injury was increased and the IL-10 level was decreased,while the Twelve Flavors Yishou San could alleviate this effect.The results of flow cytometry showed that Twelve Flavors Yishou San could significantly reduce neutrophil infiltration in rat bronchoalveolar lavage fluid,but had no significant effect on macrophages and adaptive immune response.Conclusion Twelve Flavors Yishou San can alleviate LPS induced acute lung injury by inhibiting neutrophil infiltration,providing an important experimental basis for fully understanding the therapeutic mechanism of Twelve Flavors Yishou San.

Objective:To explore the influence of fentanyl on sorafenib sensitivity in the treatment of hepatocellular carcinoma (HCC) pain.Methods:Adopting a prospective research method, all laboratory tests were conducted in the Central Laboratory of Xinhua Hospital, Dalian University from August 2021 to August 2023. CCK-8 method, clone formation assay and cell counting under light microscope were used to detect cell proliferation of the human liver cancer cell line HepG2. LysoTracker, monodansyl cadaverine and transmission electron microscopy (TEM) were used to detect the levels of autophagy in fentanyl-induced HCC cells. The level of reactive oxygen species was measured using the fluorescent dye, 2′, 7′-dichlorodihydrofluorescein diacetate (DCFH-DA). Protein immunoblotting test was applied to detect the protein level of upstream protein kinase B (Akt)/mammalian target of rapamycin (mTOR) signaling pathway. The effects of the antitumor efficacy of fentanyl combined with sorafenib were evaluated by the HCC tumor-forming experiment in nude mice. Fifteen female BALB/c nude mice (6-week-old) were divided into control group, sorafenib group and sorafenib + fentanyl group by random digits table method with 5 mice each. The nude mice in three groups were subcutaneously injected at left axilla HepG2 cells (4 ×10 6). The nude mice in control group, sorafenib group and sorafenib + fentanyl group were respectively treated with injection of 1 ml of 0.9% sodium chloride, oral sorafenib with 20 mg/kg, oral sorafenib with 20 mg/kg combined with intravenous injection fentanyl with 0.05 mg/kg every other day for 3 consecutive weeks. The tumor volume was measured at the 4th、8th、12th、16th、20th and 24th day. The nude mice were sacrificed after tumors formed and the tumor tissues were collected and weighed. The tumor tissue was checked by the immunohistochemical staining assay. Results:The CCK-8 and clone formation assay results showed that fentanyl reduced the antitumor effect of sorafenib in HCC. Fentanyl upregulated the expression of autophagy-related proteins Beclin-1 and LC3, and immunofluorescence and transmission electron microscopy showed that fentanyl could increase the levels of autophagy in HCC cells. DCFH-DA staining showed that fentanyl increased reactive oxygen species production, and Protein immunoblotting test result showed that fentanyl reduced the levels of phosphorylated protein kinase B (p-Akt) and phosphorylated mammalian target of rapamycin (p-mTOR). The autophagy inhibitor 3-methyladenine (3-MA) could block the protective autophagy induced by fentanyl, and then reduce the adverse effects of fentanyl on sorafenib. There was no statistical difference in tumor volume at 4th, 8th and 12th day among three groups ( P>0.05); the tumor volume 16th, 20th and 24th and weight in fentanyl + sorafenib group and sorafenib group were significantly lower than those in control group: (275.00 ± 11.58) and (174.00 ± 91.42) mm 3 (307.40 ± 81.39) mm 3, (701.00 ± 105.08) and (563.60 ± 89.59) mm 3 vs. (855.20 ± 68.71) mm 3, (971.60 ± 79.87) and (691.80 ± 11.17) mm 3 vs. (1 177.20 ± 105.79) mm 3, (705.00 ± 35.50) and (540.20 ± 80.76) mg vs. (1 118.40 ± 76.81) mg, the indexes in sorafenib group were significantly lower than those in fentanyl + sorafenib group, and there were statistical differences ( P<0.05). The immunohistochemical staining assay result showed that Ki67 and LC3 positive cells (brown cells) in fentanyl + sorafenib group were significantly more than those in sorafenib group. Conclusions:Fentanyl reduces the suppressive effect of sorafenib on HCC tumor growth by inducing protective autophagy, which could be weakened by adding autophagy inhibitors.