This paper summarizes professor TU Jinwen's clinical experience in treating cancer-related insomnia （CRI） based on different qi and fire. It is believed that the pathogenesis of CRI can be divided into three stages. At the initial stage， qi movement is constrained， while the strong fire begins to stir， and the sovereign fire is unsettled， when qi is abundant， but the fire is not excessive. For this， Sanhua Jieyu Anshen Decoction （三花解郁安神汤） is suggested， which can move qi and vent constraint， clear and diffuse strong fire， calm the heart and spirit. At the progressive stage， strong fire becomes intense and burning， and qi transformation weakens， with toxin fire harassing the spirit. This is the stage where both qi and fire are excessive， for which Huanglian Jiedu Anshen Decoction （黄连解毒安神汤） can be used to clear and dissipate strong fire， drain fire and resolve toxin， clear heart and calm spirit. At the terminal stage， strong fire subsides， and consumption of qi damages healthy qi， with failure of nourishment of heart spirit， when both qi and fire deplete. Correspondingly， Erren Yangxin Anshen Decoction （二仁养心安神汤） is used to boost qi and nourish yin， restore interaction between the heart and the kidney， nourish the heart and calm spirit.

ObjectiveTo explore the efficacy and mechanism of Euphorbia humifusa on acute kidney injury （AKI） based on network pharmacology， molecular docking and experimental verification. MethodsThe active components and targets of E. humifusa were retrieved from TCMSP and SwissTargetPrediction database， and the AKI targets were screened by GeneCards and Online Mendelian Inheritance in Man（OMIM） databases. The drug targets and disease targets were intersected to construct a protein-protein interaction network， and the intersection targets were subjected to gene ontology （GO） and Kyoto encyclopedia of genes and genomes （KEGG） enrichment analysis. Discover Studio software was used to verify the molecular docking of key components and core targets. Gentamicin （GM） was used to induce AKI rat model. Control group， model group， verapamil （16 mg·kg^-1） group， E. humifusa extract （18， 54， 162 mg·kg^-1·d^-1） group and E. humifusa 70% ethanol extract （423 mg·kg^-1） group were continuously administered for 14 days. Urine volume was detected 24 h after modeling and administration. Serum creatinine （SCr）， Blood urea nitrogen （BUN）， 24-hour urine protein （24 hUTP） and uric acid （UA） content； the contents of malondialdehyde （MDA）， glutathione （GSH）， superoxide dismutase （SOD）， carbon monoxide synthase （NOS） and lactate dehydrogenase （LDH） in kidney were measured. The levels of interleukin （IL）-6 and tumor necrosis factor （TNF）-α in serum were detected by enzyme linked immunosorbent assay（ELISA） kit. The pathological changes of renal tissue were detected by hematoxylin-eosin （HE） and Masson staining. Western blot was used to detect the expression of PI3K/protein kinase B（Akt）/NF-κB signaling pathway-related proteins. ResultsIn this study， 13 active components such as kaempferol， luteolin， apigenin， gallic acid and quercetin were screened and identified from E. humifusa. Through bioinformatics analysis， these components and AKI have a total of 289 targets， of which 62 are core targets， including Akt1， TNF， tumor protein p53（TP53） and IL-1β. These targets are mainly involved in the regulation of biological processes such as NF-κB signaling pathway， HIF-1 signaling pathway， TNF signaling pathway， PI3K/Akt signaling pathway and mitogen-activated protein kinase（MAPK） signaling pathway. In animal experiments， we successfully constructed a GM-induced AKI model in rats. Compared with the model group， E. humifusa extract could significantly reduce the levels of 24 hUTP， BUN and SCr in rats （P<0.01）， indicating its improvement effect on renal function. In addition， the extract of E. humifusa also significantly reduced LDH activity and MDA content in rat kidney tissue （P<0.05， P<0.01）， and significantly increased SOD， NOS activity and GSH content （P<0.05）， indicating that the extract of E. humifusa has the potential of anti-oxidation and protection of renal function. Further analysis of inflammatory factors showed that the levels of IL-6 and TNF-α in serum of rats treated with E. humifusa extract were significantly decreased （P<0.01）， indicating that E. humifusa extract had anti-inflammatory effects. In addition， the extract of E. humifusa can also regulate the protein expression of PI3K/Akt/NF-κB signaling pathway， which further confirmed its mechanism of reducing GM-induced AKI. ConclusionThe extract of E. humifusa has a significant therapeutic effect on acute kidney injury through its multi-component and multi-target mechanism. Its effect is reflected in improving renal function， anti-oxidation， anti-inflammation and regulating immune response. These findings provide a scientific basis for the application of E. humifusa in the treatment of acute kidney injury， and point out the direction for future drug development and clinical research.

Objective To explore the effect of sex on the incidence of immune-related cutaneous adverse event (ircAE) during immunotherapy for gastric cancer, and to further analyze the correlation between sex, ircAE and prognosis. Methods A retrospective analysis was conducted on patients with advanced gastric cancer who received immune checkpoint inhibitors at the Department of Oncology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, from February 1, 2022, to December 31, 2024. Clinicopathological characteristics, occurrence of ircAE, and survival data were collected. The incidence of ircAE was compared between male and female patients. Kaplan-Meier method was used to plot survival curves, and univariate Cox regression analysis was performed to assess prognostic factors. Results A total of 116 patients with advanced gastric cancer were enrolled, including 76 males (65.5%) and 40 females (34.5%). The overall incidence of ircAE was 23.28%, with a higher incidence in male patients than in female patients (28.95% vs 12.50%, P＝0.046). Kaplan-Meier survival analysis on 86 patients with complete follow-up data indicated that patients with ircAE had longer overall survival (OS) than those without ircAE (P＝0.045). Univariate Cox regression analysis showed that male (HR＝0.43, 95%CI 0.22–0.83, P＝0.012) was associated with prolonged OS. Conclusions In gastric cancer immunotherapy, male patients are more likely to develop ircAE and have longer OS than female patients, and the occurrence of ircAE may be related to prolonged OS.

Objective The study aimed to elucidate the population composition and seasonal distribution characteristics of mosquitoes in Laoshan District, Qingdao City, providing a scientific basis for the prevention and control of mosquito-borne infectious diseases. Methods Mosquito surveillance was conducted in Laoshan District in Qingdao City using light traps from April to November 2020-2022. Dominant mosquito species were identified using the Berger-Parker dominance index(I)and mosquito density was compared using the Kruskal-Wallis H test. The seasonal distribution characteristics of adult mosquitoes were analyzed using concentration and circular distribution method. Spearman rank correlation analysis was used to study the relationship between mosquito populations and meteorological factors with mean monthly temperature, mean monthly relative humidity, and mean monthly rainfall. Results The mean mosquito density for the trapping period was 9.771 females/(trap·night)in 2020,9.771 in 2021, and 9.427 in 2022. There was no statistically significant difference in mosquito density between different years(H = 0.095, P = 0.954). In total, 2 781 adult female mosquitoes comprising five species from four genera were captured over three years. Culex pipiens(I = 0.654), Aedes albopictus(I = 0.202), and Aedes aegypti(I = 0.118)were identified as dominant species. Seasonal fluctuations in the adult mosquitoes were unimodal, and primarily concentrated from June to September. The peak period of adult mosquito varied between years with statistical significance. (F = 3.838, P ＜ 0.05). Mosquito density was highly correlated with mean monthly temperature, mean monthly relative humidity and mean monthly precipitation(P＜ 0.05). Conclusions Cx. pipiens pallens, Ae. albopictus, and Ar. inamoratus are the dominant mosquito species in the Laoshan District of Qingdao City. The activity of adult mosquitoes is seasonal, and primarily concentrated in summer and autumn, during which the risk of mosquito-borne diseases such as dengue fever is increased.

Objective To develop a predictive model of acute hematologic toxicity (HT) based on preradiotherapy CT radiomic features combined with clinical and dosimetric characteristics for patients with cervical cancer undergoing definitive radiotherapy. Methods Data from 82 patients with cervical cancer who received definitive radiotherapy were retrospectively analyzed. The patients were divided into training and test sets at an 8:2 ratio, with grade ≥2 HT as the study endpoint. Clinical characteristics and dosimetric parameters of pelvic regions were collected, and 1 046 radiomic features were extracted from the overall pelvic structure using PyRadiomics. Radiomic features were processed using Z-score normalization, Spearman correlation analysis (>0.9), and LASSO regression for feature selection. A radiomics model was constructed using K-nearest neighbor machine learning with fivefold cross-validation. For 56 clinical and dosimetric features, independent predictors were identified through univariate and multivariate analyses to establish a clinical-dose model. A hybrid model was further constructed by combining the two sets of features. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC), decision curve analysis, and calibration curves. Results Forty patients (48.8%) developed grade ≥2 HT. Univariate and multivariate analyses showed that V20 of the lumbosacral spine was significantly associated with grade ≥2 HT (P<0.05). The AUC values for the radiomics, clinical-dose, and hybrid models were 0.802, 0.750, and 0.861 in the training set, respectively, and 0.703, 0.633, and 0.781 in the test set, respectively. Conclusion Preradiotherapy CT radiomic features combined with dosimetric characteristics can predict the occurrence of acute hematologic toxicity in patients with cervical cancer, potentially facilitating early clinical intervention.

To investigate the association between neutrophil to lymphocyte ratio (NLR) andestimated glomerular filtration rate (eGFR) in patients with diabetes using large-scale data.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

Objective To evaluate answers to typical clinical questions related to neuro-ophthalmology generated by Artificial Intelligence(AI)Large Language Models(LLM)and to explore the performance of neuro-ophthalmology-related questions on LLM in a multidimensional manner using objective and expert assessment.Methods Multicenter,random-ized,cross-sectional pilot study.Thirty typical questions related to neuro-ophthalmology were selected based on four per-spectives:definition,etiology,clinical manifestations and signs,and treatment and prognosis,and were analyzed quantita-tively using Deepseek,Wenxin Yiyin 4.0,Doubao,and Kimi 1.5,which are four open-source LLMs in China,and quantita-tively analyzed with objective assessment;and quantitatively rated by three ophthalmologists using expert assessment for 120 answer texts.Three ophthalmology experts quantitatively scored the 120 answer texts.Three ophthalmologists quantita-tively scored the 120 answer texts.Level 3,5,and 4 Likert scales were developed according to the completeness,accura-cy,professionalism,relevance,and criticality of the question texts,respectively.The best-performing LLM was selected,and its performance was observed across the four types of questions.Additionally,three other experts assessed whether the best-performing one could be evaluated as a substitute for real-world doctor-patient communication.Results In the objective Chinese text reading difficulty analysis,the differences in total word count among the four LLMs were statistically significant(all P＜0.001).Of the four LLMs,Kimi 1.5 performed the best,with frequencies of 61％,29％,and 41％for the highest scores in completeness(3),accuracy and professionalism(5),and relevance and usefulness(4),respective-ly.Kimi 1.5 performed more consistently on the questions on the four areas of neuro-ophthalmologic disorders:definition,etiology,clinical manifestations and signs,treatment,and prognosis,with no between-group differences(P＞0.05).Con-clusion Chinese language LLMs have great potential in the clinical application of neuro-ophthalmology.Kimi 1.5 outper-forms other LLMs in terms of completeness,accuracy,professionalism,relevance,and usefulness,but it still cannot re-place real-world doctor-patient communication.There is a need to explore new diagnostic and therapeutic model of AI+physician in the future.

As evidence-based medicine advances and the number of published acupuncture clinical trials in international journals increases,the quality of these trials has become a major focus.The inherent diversity,complexity,and individualization of acupuncture treatments pose unique challenges for quality control in multicenter clinical studies,particularly in Investigator-Initiated Trial(IIT).Refined quality control is essential for the successful conduct of multicenter clinical trials in acupuncture.This study uses the multicenter clinical trials of acupuncture led by our research group as a case study to summarize the quality control experiences throughout the entire process of multicenter IITs.It synthesizes quality control strategies across the trial lifecycle,examines the management of key elements such as participants,materials,data,and specimens,and discusses project design,process management,protocol adherence,and subject safety.These insights are intended to enhance the scientific rigor and reliability of the trials,providing a reference and point of view for researchers in future similar studies.

Objective To explore the correlation between psoas major index(PMI)in patients with diffuse large B-cell lymphoma(DLBCL)and prognosis after rituximab,cyclophosphamide,doxorubicin,vincristine,prednisone(R-CHOP)chemotherapy.Methods Totally 148 DLBCL patients who received R-CHOP chemotherapy were retrospectively enrolled.Based on axis CT image at L3 vertebral transverse process,bilateral psoas muscles were delineated,and PMI was calculated.Then the patients were divided into muscle reduction group(≤lower quartile,n=37)and control group(＞lower quartile,n=111)according to the lower quartile of PMI.Clinical and imaging data were compared between groups,and the correlations of PMI with the above indexes were analyzed.The impact factors of prognosis of DLBCL were observed.Results Significant differences of body mass index(BMI),Eastern Cooperative Oncology Group(ECOG)score,international prognostic index(IPI),the proportion of B symptoms,mortality rate,3-year survival rate,β2-microglobulin,hemoglobin,albumin and PMI were found between groups(all P＜0.05).PMI of DLBCL patient was negatively correlated with age,ECOG score,IPI,β2-microglobulin and lactate dehydrogenase(LDH)(r=—0.126,-0.225,—0.262,—0.232,—0.229,all P＜0.05),but positively correlated with BMI and hemoglobin(r=0.282,0.376,both P＜0.05).The age,ECOG score,IPI and PMI were all independent impact factors of overall survival in DLBCL patients(all P＜0.05).Conclusion PMI was an independent impact factor of prognosis of DLBCL after R-CHOP chemotherapy.