Objective To investigate the association between the TyG index,its modified variants,and the risk of developing colorectal cancer(CRC).Methods This study included a total of 93,177 participants from the 2006 Kailuan Group health examination cohort.Participants were categorized into four quartiles(Q1-Q4)according to their TyG and modified TyG indices.Follow-up began at the baseline examination,with incident CRC as the primary outcome.Participants were censored at the time of CRC diagnosis,death,or the end of the study,whichever occurred first.The dose-response relationship between TyG and its modified indices and the risk of CRC was evalu-ated using restricted cubic splines(RCS)in conjunction with Cox proportional hazards regression models,yielding hazard ratios(HRs)and 95%confidence intervals(CIs).To compare the strength of associations between TyG and its modified versions(TyG-BMI,TyG-WC,TyG-WHR,TyG-WHtR,TyG-WWI)and CRC risk,HRs for CRC per one standard deviation increase in each index were calculated and compared.Results Both the TyG index and its modified variants demonstrated a significant dose-response relationship with the risk of CRC incidence.Specifically,for the TyG index,each 1-standard deviation(SD)increase was associated with a 1.17-fold(95%CI:1.09～1.27)higher risk of CRC.Compared with the first quartile(Q1),the third quartile(Q3)and fourth quartile(Q4)exhibited a 1.25-fold(95%CI:1.01～1.55)and 1.26-fold(95%CI:1.01～1.57)increased risk,respectively.For TyG-BMI,each 1-SD increase was linked to a 1.20-fold(95%CI:1.07～1.35)elevated CRC risk.Compared with Q1,Q3 and Q4 showed a 1.32-fold(95%CI:1.06～1.64)and 1.51-fold(95%CI:1.21～1.88)increase,respectively.Regarding TyG-WC,each 1-SD increment was associated with a 1.22-fold(95%CI:1.13～1.32)higher CRC risk,with Q3 and Q4 showing a 1.35-fold(95%CI:1.08～1.70)and 1.56-fold(95%CI:1.24～1.96)increased risk compared to Q1.For TyG-WHtR,each 1-SD increase was associated with a 1.24-fold(95%CI:1.08-1.42)higher CRC risk.Compared with Q1,Q2,Q3,and Q4 demonstrated a 1.31-fold(95%CI:1.03～1.66),1.55-fold(95%CI:1.23～1.95),and 1.60-fold(95%CI:1.27～2.02)increase,respectively.In the case of TyG-WHR,each 1-SD increase was associated with a 1.19-fold(95%CI:1.10～1.29)higher CRC risk,with Q4 showing a 1.42-fold(95%CI:1.14～1.77)increased risk compared to Q1.Finally,for TyG-WWI,each 1-SD increase was associated with a 1.22-fold(95%CI:1.13～1.32)elevated CRC risk,with both Q3 and Q4 showing a 1.58-fold increase(Q3:95%CI:1.26～1.98;Q4:95%CI:1.25～1.99).Stratified analyses by sex and age consistently revealed significant associations between the TyG index and its modified variants and CRC risk.Furthermore,these indices were independently associated with the incidence of both colon cancer and rectal cancer.Conclusions(1)Elevated levels of the TyG index and its modified variants are independent risk factors for CRC.(2)Both the TyG index and its modified forms demonstrate a significant dose-response association with the incidence of CRC.(3)Among the modified TyG indices,TyG-WWI,TyG-WHtR,TyG-BMI,TyG-WC,and TyG-WHR showed stronger correlations with CRC risk compared to the original TyG index.

Objective:To explore the research hotspots and trends of artificial intelligence in elderly delirium, and to provide reference for clinical healthcare professionals.Methods:The Web of Science Core Collection database was used as the data source to obtain literature on "artificial intelligence" and "elderly delirium". The search period was from January 1, 2017 to July 29, 2024. CiteSpace software was used for visual analysis of the included literature.Results:A total of 99 articles were included, with an overall upward trend in the number of publications. The United States had the most publications ( n=43), followed by China ( n=25). The institution with the most publications was Harvard Medical School ( n=8), followed by Sichuan University ( n=7). Journal of the American Geriatrics Society was the most co-cited journal. Based on the keywords, research hotspots mainly focused on the construction and validation of the risk prediction model of elderly delirium, intelligent diagnosis of elderly delirium, and intelligent elderly delirium nursing program. Future studies could explore reliability, ICU and validity. Conclusions:Artificial intelligence is increasingly being researched in elderly delirium to facilitate personalized nursing programs for elderly delirium in all aspects, from disease prediction, risk assessment, early diagnostic monitoring to intervention strategy development. In the future, trends in artificial intelligence research in the field of elderly delirium will revolve around improving the reliability of diagnosis, spreading its use in ICU, and optimizing predictive models.

Objective:A camelid natural nanobody library was screened to target S100 calcium-binding protein B (S100B) for obtaining high-affinity and specific nanobodies (Nbs), which provided a molecular basis for the early diagnosis and prognostic treatment of malignant melanoma.Methods:In this study, affinity panning was employed to isolate S100B-specific nanobodies with unique complementarity-determining region 3 (CDR3) sequences from a camelid natural nanobody library. The selected Nbs were expressed in a prokaryotic system and purified via Ni-NTA affinity chromatography. The affinity, specificity, and diagnostic potential of the Nbs were evaluated using enzyme-linked immunosorbent assay (ELISA), western blot, and bio-layer interferometry (BLI).Results:A camelid natural anti-S100B nanobody library with a capacity of 1.91×10 8 CFU was successfully constructed. Affinity panning yielded 30 S100B-specific Nbs, among which Nb107, Nb122, Nb212, and Nb324 with distinct CDR3 sequences were selected for expression. Following Ni-NTA purification, all four anti-S100B Nbs exhibited high purity. Western blot analysis confirmed their ability to recognize recombinant S100B. ELISA and BLI analyses revealed that Nb212 demonstrated high affinity (1.96×10 -11 mol). Additionally, Nb107, Nb122, and Nb212 exhibited broad-spectrum recognition capabilities, binding to various tumor cell lines (Hepa1-6, GL261, 4T1, CT26) as well as murine/human melanoma cells. These Nbs also effectively bound to native murine/human antigens in serum samples from melanoma (A375, B16F10) mouse models. Conclusions:Specific anti-S100B Nbs are successfully screened and expressed, demonstrating not only recognition of native conformational antigens but also broad-spectrum binding and high affinity. These findings highlight their significant potential for developing early diagnostic assays and broad-spectrum targeted vaccines or therapeutics against diverse tumor cells.

Aim To investigate the mechanism of ac-tion of Qingre Zhixue granules in the treatment of IgA vasculitic nephritis(IgAVN)based on network phar-macology and animal experiments.Methods The ac-tive ingredients and targets of Qingre Zhixue granules were screened out by TCMSP database.The disease targets of IgAVN were retrieved by Disgenet,Gene-cards OMIM and TTD databases.The intersection tar-gets were obtained by WeChat online database,and the information was imported into Cytoscope 3.7.1 soft-ware and STRING analysis platform to construct a drug-active component-therapeutic target network.Based on the core targets,GO and KEGG pathway enrichment a-nalysis was performed through the Metascape database to select key targets and core active components.The results of network pharmacology were verified by ani-mal experiments.The animal model of IgAVN was con-structed by the combination of disease and syndrome.The urine red blood cells and 24-hour urine protein of IgAVN model rats after intervention of Qingre Zhixue granules were detected.HE staining and IgA immuno-fluorescence deposition of renal tissue were observed.Western blot and qRT-PCR were used to detect the ex-pression of core targets in renal tissue.Results Net-work pharmacology showed that 109 active ingredients,402 drug targets,1 285 disease targets and 113 inter-section targets were obtained.The core targets screened by protein interaction and network topology a-nalysis were IL6,TNF,VEGFA,etc.The core drug ingredients were quercetin,paeoniflorin,luteolin,kaempferol and baicalein.A total of 2 545 gene func-tions were enriched by GO,and 164 gene pathways were enriched by KEGG.Qingre Zhixue granules could treat IgAVN by regulating TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway,HIF-1 signaling pathway,Toll receptor signaling path-way,NF-κB signaling pathway and apoptosis.Animal experiments showed that compared with the blank group,the urine red blood cells and 24-hour urine pro-tein quantification in the model group increased(P＜0.05);the expression of serum IL-6,TNF-α and VEGF-α increased(P＜0.05).HE staining showed glomerular mesangial proliferation,capillary lumen ste-nosis,accompanied by a small amount of inflammatory cell infiltration,glomerular IgA immunofluorescence deposition;the expression of TNF-α,p-p65,p-p38 protein and TNF-α mRNA in renal tissue increased(P＜0.05).After the intervention of Qingre Zhixue gran-ules,urine red blood cells and 24-hour urine protein decreased(P＜0.05).The changes of renal HE stai-ning were improved and glomerular IgA deposition was reduced.TNF-α,p-p65,p-p38 protein and TNF-αmRNA in renal tissue decreased(P＜0.05).Conclu-sions The active ingredients such as quercetin,peony glycoside and luteolin Qingre Zhixue granules regulate TNF signaling pathway,MAPK signaling pathway,IL-17 signaling pathway and reduce IL-6,TNF-α and VEGF-α in the treatment of IgAVN.

Objective:To explore the choice willingness and related factors of peritoneal dialysis patients regarding automated peritoneal dialysis (APD), in order to provide a basis for future technological improvements and enhancing the application rate of APD.Methods:This was a single-center cross-sectional study. Patients newly initiated on peritoneal dialysis due to end-stage renal disease in the Renal Division, Peking University First Hospital between January 1, 2021 and May 30, 2023 were enrolled. Demographic characteristics, clinical information, and laboratory data were collected. After completing initial training on APD and providing hands-on experience, a self- designed semi-quantitative questionnaire survey was administered to assess patients' willingness to adopt APD and to evaluate potential barriers to its implementation. Factors associated with patients' choice of APD were further analyzed.Results:A total of 203 newly enrolled peritoneal dialysis patients were included in the study, with an age of (53.40±15.86) years, and 57.1% (116 patients) of the participants were male. Among them, 71 patients (35.0%) chose APD, while 132 (65.0%) did not. There were no significant differences in the clinical characteristics between the APD group and the non-APD group (all P>0.05). Compared with the non-APD group, the APD group had a higher proportion of individuals who frequently traveled for business ( χ2=11.442, P<0.001) and a higher proportion with smaller peritoneal cavity volumes ( χ2=5.639, P=0.018). Among patients in the two group, significant differences were observed in self-rated difficulty of APD operation ( χ2=22.291, P<0.001), availability of space for APD setup ( χ2=21.773, P<0.001), 8-hour nocturnal APD treatment ( χ2=17.540, P<0.001), learning difficulty of machine operation ( P<0.001), learning difficulty of machine setting ( P<0.001), impact of APD on sleep ( χ2=6.826, P=0.033), impact of APD on nocturnal urination ( χ2=19.428, P<0.001), and annual cost of APD equipment ( χ2=39.066, P<0.001). Multivariate logistic regression analysis indicated that reimbursement for APD supplies ( OR=3.736, 95% CI 1.655-8.435, P=0.002), with smaller abdominal cavity volume ( OR=58.610, 95% CI 5.000-687.007, P=0.001), the acceptability of 8-hour nocturnal APD treatment ( OR=5.312, 95% CI 1.256-22.461, P=0.023), the low degree of difficulty in learning machine setting ( OR=29.299, 95% CI 2.025-423.812, P=0.013) and the annual cost of accessible APD equipment ( OR=3.643, 95% CI 1.348-9.842, P=0.011) were independent factors associated with patients' choice of APD treatment. Conclusion:Reimbursement for APD supplies, smaller abdominal cavity volume, the acceptability of 8-hour nocturnal APD treatment, the low degree of difficulty in learning machine setting, and the annual cost of accessible APD equipment are the main factors related patients' decision to choose APD treatment.

Artificial intelligence (AI) researchers and cheminformatics specialists strive to identify effective drug precursors while optimizing costs and accelerating development processes. Digital molecular representation plays a crucial role in achieving this objective by making molecules machine-readable, thereby enhancing the accuracy of molecular prediction tasks and facilitating evidence-based decision making. This study presents a comprehensive review of small molecular representations and AI-driven drug discovery downstream tasks utilizing these representations. The research methodology begins with the compilation of small molecule databases, followed by an analysis of fundamental molecular representations and the models that learn these representations from initial forms, capturing patterns and salient features across extensive chemical spaces. The study then examines various drug discovery downstream tasks, including drug-target interaction (DTI) prediction, drug-target affinity (DTA) prediction, drug property (DP) prediction, and drug generation, all based on learned representations. The analysis concludes by highlighting challenges and opportunities associated with machine learning (ML) methods for molecular representation and improving downstream task performance. Additionally, the representation of small molecules and AI-based downstream tasks demonstrates significant potential in identifying traditional Chinese medicine (TCM) medicinal substances and facilitating TCM target discovery.
Artificial Intelligence ; Drug Discovery/methods* ; Humans ; Machine Learning ; Medicine, Chinese Traditional ; Small Molecule Libraries/chemistry*

Acute kidney injury (AKI) is a critical clinical condition characterized by rapid renal function decline, with high morbidity, mortality, and healthcare costs. Traditional Chinese medicine (TCM) has shown potential effects on mitigating oxidative stress and programmed cell death in AKI models. Scutellaria barbata D. Don (SB) and Scleromitrion diffusum (Willd.) R. J. Wang (SD), a classic TCM herbal pair exhibited anti-inflammatory and antioxidant activities. Using advanced chromatographic separation technology, we enriched the effective fractions of water extracts from SB-SD, obtaining self-assembled herbal nanoparticles (SB and SD nanoparticles, SSNPs) rich in flavonoids and terpenoids. These SSNPs demonstrated robust antioxidant properties in vitro and mitigated AKI progression in vivo by activating the nuclear factor erythroid 2-related factor 2 (Nrf2) signaling pathway. Oral administration of SSNPs in mice resulted in absorption into the bloodstream, formation of a protein corona, reduced macrophage phagocytosis, and enhanced bioavailability and renal targeting. Furthermore, we investigated the self-assembly principle of SSNPs using representative flavonoids and terpenoids. Kinetic studies and in situ transmission electron microscopy (in situ TEM) revealed that these compounds self-assemble via supramolecular forces like hydrogen bonding and π-π interactions, forming stable nanostructures. This study elucidates the renoprotective effects and mechanisms of SB and SD, and provides a novel approach for the development of TCM-based nanomedicines, highlighting the potential of nano-TCM in AKI treatment.

Recently, there has been an increasing risk of importation of tropical diseases into China and the resultant re-transmission in the country with the in-depth implementation of the “Belt and Road” Initiative, which poses a serious threat to the national public health security. To effectively respond to the cross-border transmission risk of tropical diseases and facilitate the process towards tropical disease control and elimination in China and the countries along the “Belt and Road” Initiative, this article analyzes the current status and governance risks of major imported tropical diseases, cross-border joint prevention and control polices implemented for tropical diseases and challenges in the establishment of the joint prevention and control system for tropical diseases in China, and discusses the establishment and implementation path of the joint prevention and control system for tropical diseases in countries along the “Belt and Road” Initiative. This path covers the establishment of cross-border cooperation mechanisms, research and development and pilot production of Chinese public health products, and implementation of key cross-border tropical disease prevention and control projects. The establishment of this system will further improve Chinese prevention and control capabilities for key cross-border tropical diseases, build a demonstrative prevention and control model for tropical diseases, and promote international technical exchanges and cooperation of tropical diseases.

BACKGROUND: To evaluate the efficacy and safety of the first cohort of people in China treated with a responsive neurostimulation system (Epilcure TM , GenLight MedTech, Hangzhou, China) for focal drug-resistant epilepsy in this study. METHODS: This multicenter, before-and-after self-controlled study was conducted across 8 centers from March 2022 to June 2023, involving patients with drug-resistant epilepsy who were undergoing responsive neurostimulation (RNS). The study was based on an ongoing multi-center, single-blind, randomized controlled study. Efficacy was assessed through metrics including median seizure count, seizure frequency reduction (SFR), and response rate. Multivariable linear regression analysis was conducted to explore the relationships of basic clinical factors and intracranial electrophysiological characteristics with SFR. The postoperative quality of life, cognitive function, depression, and anxiety were evaluated as well. RESULTS: The follow-up period for the 19 participants was 10.7 ± 3.4 months. Seizure counts decreased significantly 6 months after device activation, with median SFR of 48% at the 6th month (M6) and 58% at M12 ( P  <0.05). The average response rate after 13 months of treatment was 42%, with 21% ( n  = 4) of the participants achieving seizure freedom. Patients who have previously undergone resective surgery appear to achieve better therapeutic outcomes at M11, M12 and M13 ( β  <0, P  <0.05). No statistically significant differences were observed in patients' scores of quality of life, cognition, depression and anxiety following stimulation when compared to baseline measurements. No serious adverse events related to the devices were observed. CONCLUSIONS: The preliminary findings suggest that Epilcure TM exhibits promising therapeutic potential in reducing the frequency of epileptic seizures. However, to further validate its efficacy, larger-scale randomized controlled trials are required. REGISTRATION Chinese Clinical Trial Registry (No. ChiCTR2200055247).
Humans ; Female ; Male ; Drug Resistant Epilepsy/therapy* ; Adult ; Young Adult ; Middle Aged ; China ; Adolescent ; Treatment Outcome ; Quality of Life ; Single-Blind Method ; Seizures ; Electric Stimulation Therapy/methods*