OBJECTIVE To provide valuable insights for the adjustment of anti-infectious regimens， identification of adverse reactions， and individualized pharmaceutical care in patients with critically severe scrub typhus. METHODS Clinical pharmacists actively participated in the pharmaceutical care process for a patient with severe scrub typhus leading to mixed shock undergoing continuous renal replacement therapy and extracorporeal membrane oxygenation. Initially， the patient received meropenem （1 g， q12 h， ivdrip）， in combination with doxycycline （0.1 g， q12 h， po）， which was later switched to meropenem （1 g， q8 h， ivdrip） along with omacycline （100 mg， qd， ivdrip） due to impaired gastrointestinal function. However， as the patient’s condition progressively deteriorated and the infection became uncontrolled， the clinical pharmacists recommended that the clinicians adjust the anti-infective regimen to meropenem （2 g， q8 h， ivdrip） combined with tigecycline （100 mg for first dose； 50 mg， q12 h for maintenance； ivdrip）. The clinicians followed the advice of the clinical pharmacists. After treatment， the patient’s symptoms exhibited significant improvement， accompanied by a notable decrease in inflammatory markers， indicating that the infection had been successfully controlled. However， due to continuously increasing bilirubin levels， in order to reduce the risk of drug-induced liver injury， the clinicians changed tigecycline to azithromycin （0.5 g， qd， ivdrip） following the recommendation of the clinical pharmacists. RESULTS Ultimately， metagenomic next-generation sequencing of the bronchoalveolar lavage fluid and blood specimens indicated that Orientia tsutsugamushi had been completely eradicated in the patient. CONCLUSIONS Tigecycline may be a viable therapeutic choice for patients with severe scrub typhus. In the context of critically ill patients with scrub typhus， combining tigecycline with azithromycin might potentially enhance the efficacy in eliminating Orientia tsutsugamushi.

Retrieving keyframes most relevant to text from small intestine videos with given labels can efficiently and accurately locate pathological regions. However, training directly on raw video data is extremely slow, while learning visual representations from image-text datasets leads to computational inconsistency. To tackle this challenge, a small bowel video keyframe retrieval based on multi-modal contrastive learning (KRCL) is proposed. This framework fully utilizes textual information from video category labels to learn video features closely related to text, while modeling temporal information within a pretrained image-text model. It transfers knowledge learned from image-text multimodal models to the video domain, enabling interaction among medical videos, images, and text data. Experimental results on the hyper-spectral and Kvasir dataset for gastrointestinal disease detection (Hyper-Kvasir) and the Microsoft Research video-to-text (MSR-VTT) retrieval dataset demonstrate the effectiveness and robustness of KRCL, with the proposed method achieving state-of-the-art performance across nearly all evaluation metrics.
Humans ; Video Recording ; Intestine, Small/diagnostic imaging* ; Machine Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

Objective To report the diagnosis of a canine distemper virus outbreak among a colony of cynomolgus monkeys at an experimental monkey farm in 2019. MethodsA total of 46 samples were collected from 21 diseased cynomolgus monkeys (exhibiting symptoms such as facial rash, skin scurf, runny nose, and diarrhea) and from one deceased monkey at an experimental monkey breeding farm in South China in late 2019, including serum, skin rash swabs, and anticoagulated whole blood, liver, lung, and skin tissues were submitted for testing. All submitted samples were tested for canine distemper virus gene fragments using real-time quantitative PCR, while immunohistochemical staining was performed to detect canine distemper virus nucleoprotein in lung tissues. The skin tissue of the deceased monkey was ground and sieved. The filtrate was inoculated into a monolayer MDCK cell line for virus isolation. Then, whole-genome sequencing was performed to identify the isolated virus. The Clustal Omega tool was used to align and analyze the homology of different Asian canine distemper virus isolates. A phylogenetic tree was constructed, followed by genetic evolutionary analysis. ResultsClinical retrospective analysis revealed that the diseased cynomolgus monkeys exhibited symptoms similar to those observed in cynomolgus monkeys infected with measles virus. Necropsy findings showed red lesions in the lungs and significant hemorrhage in the colonic mucosa. Real-time quantitative PCR detected canine distemper virus nucleic acid in the serum, skin rash swabs of the infected monkeys, and various tissue samples of the deceased monkey, all of which tested positive. Calculation based on the standard curve formula indicated the viral load was highest in the skin tissue. Immunohistochemical staining of the deceased monkey's lung tissue demonstrated aggregation of CDV nucleoprotein in alveolar epithelial cells, bronchi, and bronchioles. A CDV strain was isolated from the skin tissue of the deceased monkey. Phylogenetic analysis indicated that this strain shares the closest relationship (98.86%) with the Asian-1 type canine distemper virus strain CDV/dog/HCM/33/140816, previously identified in dogs in Vietnam. ConclusionBased on comprehensive analysis of clinical symptoms, nucleic acid detection, viral protein immunohistochemistry, and whole-genome sequencing results, the diagnosis confirms that the cynomolgus monkeys in this facility are infected with canine distemper virus. It is recommended to include canine distemper virus as a routine surveillance target in captive monkey populations. Additionally, this study provides a foundation for further research on the molecular biological characteristics of canine distemper virus.

OBJECTIVE To analyze the influencing factors of voriconazole trough concentration and adverse drug reactions （ADR） in renal transplant recipients. METHODS Data from inpatients who received voriconazole and therapeutic drug monitoring in our hospital between January 2022 and August 2023 were retrospectively analyzed. Patients were divided into renal transplant group and non-renal transplant group based on transplantation status. A 1∶1 propensity score matching （PSM） method was used to balance differences in baselines between the two groups. Voriconazole trough concentrations， target attainment rate， clinical efficacy， and ADR were compared between the two groups. Multiple linear regression （backward） was used to analyze the factors influencing voriconazole trough concentrations in the renal transplant group. Univariate analysis and binary Logistic regression were used to identify independent risk factors for ADR in the renal transplant group. RESULTS After PSM， 48 patients were included in each group. There were no statistically significant differences in the mean voriconazole trough concentration， target attainment rate or efficacy rate between the two groups （P＞0.05）. The total incidence of ADR was significantly higher in the renal transplant group than in the non-renal transplant group （P＜0.05）. Multiple linear regression analysis showed that age， average daily dose， pulmonary infection， total bilirubin during medication， day-1 loading dose， use of the original drug， concomitant immunosuppressant use， and the occurrence of ADR were factors influencing voriconazole trough concentration in renal transplant patients （P＜0.05）. Binary Logistic regression analysis showed that abnormal direct bilirubin during medication [OR＝7.747， 95%CI （1.334， 45.005）， P＝0.023] was an independent risk factor for ADR in renal transplant patients receiving voriconazole. CONCLUSIONS Age， average daily dose， pulmonary infection， use of the original drug， day-1 loading dose， total bilirubin during medication， concomitant immunosuppressant use， and the occurrence of ADR are the factors influencing voriconazole trough concentration in renal transplant patients. Furthermore， patients with abnormal direct bilirubin during medication are more susceptible to ADR.

OBJECTIVE To construct ensemble learning models for predicting high-use days of budesonide based on meteorological factors， thereby providing reference for hospital pharmacy management. METHODS Meteorological data for 2024 and outpatient budesonide usage data from the jurisdiction of Sanming Hospital of Integrated Traditional Chinese and Western Medicine were collected. High-use days were defined as the 75th percentile of outpatient budesonide usage， and a corresponding dataset was established. The prediction task was formulated as a classification problem， and three ensemble learning models were developed： Random Forest， Extreme Gradient Boosting （XGBoost）， and Histogram-based Gradient Boosting Classifier. Model performance was evaluated using accuracy， precision， recall， F1-score， and log-loss. Model interpretability was analyzed using Shapley Additive Explanations （SHAP）. RESULTS The Histogram-based Gradient Boosting Classifier achieved the best performance （accuracy＝0.75， F1-score＝0.48）， followed by XGBoost （accuracy＝0.74， F1-score＝0.43） and Random Forest （accuracy＝0.72， F1-score＝0.22）. SHAP results suggested that the prediction results of the last two models have the highest correction. CONCLUSIONS Ensemble learning models can effectively predict high-use days of budesonide， with the Histogram- based Gradient Boosting Classifier demonstrating the best predictive performance. Low temperature， high humidity， and low atmospheric pressure show significant positive impacts on the prediction of daily budesonide usage.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Objective:To compare the differences in clinical characteristics among the patients at clinical high risk for bipolar disorder(CHR-BD),the patients with bipolar disorder(BD),and the healthy controls(HC)at low risk,and to provide the basis for the diognasis and treatment of CHR-BD.Methods:For the first time,the BD risk criteria and prospective structured assessment tools were jointly used in outpatients aged 16-30 years,and 43 CHR-BD patients were included to ensure the accuracy of the assessment.Meanwhile,33 BD patients and 32 HC subjects were also enrolled.The clinical symptoms,neurocognitive function,and global functional levels of the subjects in the three groups were evaluated using observer-rated and self-rated tools.The CHR-BD and BD groups were combined,and Logistic regression analysis was used to identify the independent influencing factors related to diagnostic status;Pearson or Spearman correlation analysis was used to analyze the correlations between the global functional levels and the symptoms or neurocognitive characteristics of the patients in CHR-BD and BD groups.Results:There were statistically significant differences in the scores of symptom and global functional level scales among HC,CHR-BD,and BD groups(P<0.05).Compared with HC group,the scores of mood symptoms(anxiety,depression,and mania/hypomania),psychotic symptoms,total affective temperament questionnaire scores,and some dimensions(cyclothymic,depressive,irritable,and anxious temperaments)in CHR-BD and BD groups were significantly increased(P<0.001),while the global functional levels were significantly decreased(P<0.001).Compared with BD group,the lowest global functional level score in the past year in CHR-BD group was significantly increased(P=0.022),while the current global functional level score was significantly decreased(P=0.005).No significant differences were observed in neurocognitive function scores among the three groups(P>0.05).The lowest global functional level score in the past year was an independent influencing factor for BD diagnosis[odds ratio(OR)=0.952,95%confidence interval(CI):0.917-0.988,P=0.010].In both CHR-BD and BD patients,the current global functional levels were negatively correlated with depressive(r=-0.417,P=0.005;r=-0.617,P<0.001)and anxiety symptoms(r=-0.360,P=0.018;r=-0.506,P=0.003).In BD patients,the current global functional level was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.360,P=0.039),psychotic symptoms(r=-0.502,P=0.003),and affective temperament scores(r=-0.479,P=0.005),while the lowest global functional level in the past year was negatively correlated with lifetime manic/hypomanic symptoms(r=-0.391,P=0.024).Conclusion:CHR-BD patients share similar mood symptom characteristics with BD patients,and their global functional levels are negatively correlated with depressive and anxiety symptoms.BD patients exhibit worse lowest global functional levels in the past year,and their global functional levels are negatively correlated with manic/hypomanic symptoms.

Traditional Chinese medicine(TCM),an essential component of the traditional medicine practiced in China,has demonstrated unique therapeutic efficacy in combating infectious diseases caused by pathogens and various types of tumors.In particular,TCM plays a vital role in enhancing immune function,maintaining homeostasis,and improving metabolic balance.However,the complex ingredients used in TCM and its broad range of therapeutic targets present challenges for comprehensive analysis of the mechanisms involved.Moreover,the molecular and cellular mechanisms underlying TCM's effects remain underexplored,limiting its broader application in modern medicine.Recent studies have increasingly revealed that TCM can not only directly inhibit the activity of pathogens,such as bacteria,fungi,viruses,and tumor cells,but also exert profound effects on immune remodeling by regulating the metabolism of both pathogens and hosts.Therefore,a comprehensive understanding of the role of TCM in metabolic regulation is crucial for elucidating its anti-pathogenic effects.This review is focused on the metabolic pathways of pathogens and host metabolic reprogramming induced by pathogens.We systematically reviewed the mechanisms by which TCM regulates pathogen metabolism,influences pathogen-induced metabolic reprogramming in hosts,and mitigates immune suppression caused by pathogens.This review may provide new ideas for investigating the molecular mechanisms of TCM in disease development and progression.

Objective The high post-surgery recurrence rate of endometriosis(EMs)has emerged as a challenge in the long-term manaagement of the condition.This study is aimed at investigating the mechanisms of Neiyiting(NYT)decoction in preventing postoperative recurrence of EMs.Methods An animal model of EMs postoperative recurrence and a model of endometrial stromal cells(hEM15A)cocultured with macrophages(RAW 264.7 cell line)were established for both in vivo and in vitro experiments.An autotransplantation method was used to establish a rat model of EMs.The rats were divided into 4 groups(6 rats per group)and received the corresponding treatments:a Model group receiving distilled water,a Gestrinone group receiving gestrinone at 0.325 mg/kg,a low-dose NYT(NYT-L)group receiving NYT decoction at 5.04 g/(kg-d),and a high-dose NYT(NYT-H)group receiving NYT decoction at 10.08 g/(kg-d).The treatment was administered for 3 weeks via intragastric gavage.In addition,6 SD rats were randomly selected for the control group(Control group),and were given distilled water for 3 weeks via intragastric gavage.The sizes and pathological changes of recurrent lesions in EMs rats were observed.Immunohistochemistry and qRT-PCR were performed to assess the expression of M1 macrophage marker CD86 protein and mRNA in vivo.Additionally,immunohistochemistry and qRT-PCR were used to assess the expression of indicator proteins related to the triggering receptor expressed on myeloid cells 1(TREM1)/Toll-like receptor 4(TLR4)/nuclear factor kappa B(NF-κB)signaling pathway and mRNA.The proliferation of hEM15A cells in the coculture experiment was observed.Flow cytometry was performed to determine the polarization of RAW264.7 macrophages,and qRT-PCR was used to determine the expression levels of inducible nitric oxide synthase(iNOS)and interleukin 1β(IL-1β)mRNA.Western blot was performed to determine the expression of signaling pathway-related indicator proteins in vitro.ELISA was performed to determine the levels of inflammatory factors in vitro.Results Compared with the Model group,the volume of recurrent lesions in the NYT-H group was reduced(P＜0.01).Findings from the macrophage M1 polarization assessment showed that the expression levels of CD86 protein and mRNA in the recurrent lesions of the Model group were higher than those in the control group(P＜0.01).The expression levels of CD86 protein and mRNA in the recurrent lesions of the NYT-H group were lower than those of the Model group(P＜0.01).In addition,the RAW 264.7 cell experiment further verified that NYT decoction could reduce the number of CD86-positive macrophages induced by plasmids overexpressing TREM1 and reduce the expression of IL-1β and iNOS mRNA(P＜0.01).The results of the hEM15A cell proliferation assay showed that NYT decoction down-regulated KI-67 protein expression in hEM15A cells induced by macrophage M1 polarization(P＜0.01).The results of TREM1/TLR4/NF-κB signaling pathway showed that the protein and mRNA expression levels of TREM1,TLR4,and NF-κB in the recurrent lesions of the Model group were higher than those of the control group(P＜0.01).Compared with those in the Model group,the protein and mRNA expression levels of TREM1,TLR4,and NF-κB in the recurrent lesions of the NYT-H group were lower(P＜0.01).In addition,the coculture experiment of RAW264.7 and hEM15A cells further confirmed that NYT decoction reduced the expression of TREM1,TLR4,and P-P65 proteins(P＜0.01).Conclusion NYT decoction can inhibit macrophage M1 polarization through the TREM1/TLR4/NF-κB signaling pathway,improve the inflammation level,and inhibit the formation of ectopic endometrial lesions,thereby preventing postoperative recurrence of EMs.