ObjectiveTo evaluate the effects of Qingre Huoxue prescription combined with methotrexate （MTX） and folic acid （FA） on homocysteine （Hcy） levels and disease activity in patients with rheumatoid arthritis （RA） complicated by hyperhomocysteinemia （HHcy）. MethodsOn the basis of a multicenter real-world cohort from the China Registry of Traditional Chinese Medicine for Rheumatism （CERTAIN） platform，408 patients with RA complicated by HHcy were selected and included in this study. Treatment with Qingre Huoxue prescription was used as the exposure factor. According to whether Qingre Huoxue prescription was combined with MTX and FA，patients were assigned into an exposure group of 281 cases and a control group of 127 cases. Follow-ups were conducted every three months，with the primary outcome indicator being the achievement rate of target Hcy level. A generalized estimating equation model was adopted to analyze the dynamic changes in Hcy level under different medication regimens. Kaplan-Meier analysis was performed to evaluate the cumulative achievement rate of target Hcy level in the two groups，and Cox regression analysis was conducted to explore the predictive factors affecting the achievement rate of target Hcy level. Changes in erythrocyte sedimentation rate （ESR），C-reactive protein （CRP），28-joint disease activity score （DAS 28），and Health Assessment Questionnaire-Disability Index （HAQ-DI） scores before and after the first combined treatment with Qingre Huoxue prescription were compared between the two groups. ResultsThe Hcy level in the exposure group showed a gradual decreasing trend over time，while the decrease in Hcy level was not significant in the control group. At the 12-month follow-up，the achievement rate of target Hcy level in the exposure group （124/281，44.13%） was higher than that in the control group （23/127，18.11%，P<0.01）. Multivariable Cox regression analysis showed that treatment with Qingre Huoxue prescription ［hazard ratio（HR）=3.013，95% confidence interval （CI） 2.188-4.149， P<0.001］， absence of comorbidities （HR=2.035， 95%CI 1.352-3.061， P<0.001）， and baseline Hcy <15 μmol·L^-1 （HR=1.810， 95%CI 1.390-2.357， P<0.001） were significantly associated with an increased likelihood of achieving target Hcy levels within 6 months. In contrast， higher PGA scores were associated with a reduced likelihood of achieving target Hcy levels （HR=0.991， 95% CI 0.986-0.997， P=0.003）. After treatment，the exposure group demonstrated reductions in ESR，CRP，and DAS 28 scores （P<0.05） and had lower ESR，CRP and DAS 28 scores than the control group （P<0.05）. ConclusionEven after taking FA supplements，some RA patients undergoing MTX treatment still have high Hcy levels. When being used in conjunction with MTX and FA，Qingre Huoxue prescription can effectively lower the Hcy level and disease activity in RA patients with HHcy，outperforming Western treatment alone.

ObjectiveTo evaluate the effects of Qingre Huoxue prescription combined with methotrexate （MTX） and folic acid （FA） on homocysteine （Hcy） levels and disease activity in patients with rheumatoid arthritis （RA） complicated by hyperhomocysteinemia （HHcy）. MethodsOn the basis of a multicenter real-world cohort from the China Registry of Traditional Chinese Medicine for Rheumatism （CERTAIN） platform，408 patients with RA complicated by HHcy were selected and included in this study. Treatment with Qingre Huoxue prescription was used as the exposure factor. According to whether Qingre Huoxue prescription was combined with MTX and FA，patients were assigned into an exposure group of 281 cases and a control group of 127 cases. Follow-ups were conducted every three months，with the primary outcome indicator being the achievement rate of target Hcy level. A generalized estimating equation model was adopted to analyze the dynamic changes in Hcy level under different medication regimens. Kaplan-Meier analysis was performed to evaluate the cumulative achievement rate of target Hcy level in the two groups，and Cox regression analysis was conducted to explore the predictive factors affecting the achievement rate of target Hcy level. Changes in erythrocyte sedimentation rate （ESR），C-reactive protein （CRP），28-joint disease activity score （DAS 28），and Health Assessment Questionnaire-Disability Index （HAQ-DI） scores before and after the first combined treatment with Qingre Huoxue prescription were compared between the two groups. ResultsThe Hcy level in the exposure group showed a gradual decreasing trend over time，while the decrease in Hcy level was not significant in the control group. At the 12-month follow-up，the achievement rate of target Hcy level in the exposure group （124/281，44.13%） was higher than that in the control group （23/127，18.11%，P<0.01）. Multivariable Cox regression analysis showed that treatment with Qingre Huoxue prescription ［hazard ratio（HR）=3.013，95% confidence interval （CI） 2.188-4.149， P<0.001］， absence of comorbidities （HR=2.035， 95%CI 1.352-3.061， P<0.001）， and baseline Hcy <15 μmol·L^-1 （HR=1.810， 95%CI 1.390-2.357， P<0.001） were significantly associated with an increased likelihood of achieving target Hcy levels within 6 months. In contrast， higher PGA scores were associated with a reduced likelihood of achieving target Hcy levels （HR=0.991， 95% CI 0.986-0.997， P=0.003）. After treatment，the exposure group demonstrated reductions in ESR，CRP，and DAS 28 scores （P<0.05） and had lower ESR，CRP and DAS 28 scores than the control group （P<0.05）. ConclusionEven after taking FA supplements，some RA patients undergoing MTX treatment still have high Hcy levels. When being used in conjunction with MTX and FA，Qingre Huoxue prescription can effectively lower the Hcy level and disease activity in RA patients with HHcy，outperforming Western treatment alone.

Detection of poor-water-soluble substances typically requires an organic solvent containing solution,and therefore,the biosensors that can operate in such conditions are highly promising for practical applications.However,most existing biosensors have been developed in aqueous solution and it is hard to work effectively in organic solvent systems.In this work,we uncovered that the G-quadruplex(G4)/hemin DNAzyme(G4HD)could be strongly reactivated by NH4 in organic solvents at concentration up to 30％,and the activity was significantly higher than that in aqueous solutions containing K+.Based on this discovery,a biosensing system was developed for small molecule in 40％methanol by coupling G4HD with our previously identified RNA-cleaving DNAzyme(E3).This system comprised an ATP-activated aptazyme that was made of E3 and a G4HD that was activated by the cleavage product of the aptazyme.By using a manmade pipette tip filter to separate the reaction products,the subsequent colorimetric reaction of the G4HD could be triggered.This biosensing system enabled the visualization of target molecules in organic cosolvents without any other instruments.The activable DNAzyme-cascade sensing system had potential in point-of-care detection of poor-water-soluble pollutants,thereby enhancing the practical values of functional nucleic acid-based biosensors in real-world detection conditions.

Colorimetric analysis is a detection and quantification method based on observable color changes in response to analytes,which offers significant advantages including visually detectable signals,straightforward operation,rapid response,and low cost.Consequently,it plays a crucial role in a variety of fields.With increasingly diverse and complex application,colorimetric analysis requires continuous improvement in sensitivity,adaptability to diverse detection environments,and complex data handling capabilities.In recent years,the development of artificial intelligence technology,particularly within its core domain of machine learning(ML),has led to significant advancements in colorimetric analysis.The ML-assisted colorimetric analysis enables high-throughput and high-sensitivity detection,alongside automated analysis,thereby providing novel strategies to overcome the inherent limitations.This review categorized machine learning techniques and summarized their application in colorimetric analysis,introducing two fundamental categories of supervised learning,and unsupervised learning based on the division of core learning paradigms.The research progress of ML-assisted colorimetric analysis in the fields of environmental monitoring,biochemical detection,and food safety were summarized.Finally,the current challenges facing by this research area were analyzed and the research prospect of ML-assisted colorimetric analysis was outlined.

Objective:To evaluate the clinical predictive value of SPECT myocardial perfusion imaging (MPI) in the occurrence of cardiac death in patients with chronic kidney disease (CKD).Methods:A retrospective follow-up was performed for 160 patients (109 males, 51 females; age: 68.5(61.0, 74.0) years) who underwent MPI in Beijing Anzhen Hospital, Capital Medical University between June 2017 and March 2024. The 17-segment 5-point method was used for image analysis to obtain the left ventricular myocardial perfusion and functional parameters. The patients were followed up for cardiac death, and divided into death group and survival group. Clinical data of those 2 groups were compare by χ2 test, the independent-sample t test or Mann-Whitney U test. Cox proportional hazards regression analysis was used to analyze the predictors related to cardiac death. The ROC curve was used to analyze the performance of predictors. Survival curves were obtained by the Kaplan-Meier method, and log-rank test was performed to compare the difference between 2 groups. Results:The follow-up time of 160 patients with CKD was 26.0(10.0, 46.5) months. Of 160 patients, 17 died and 143 survived. There were statistically significant differences in body mass index (BMI), previous myocardial infarction, previous revascularization, hypersensitive C-reactive protein (hs-CRP), positive MPI, left ventricular end-diastolic volume (EDV), end-systolic volume (ESV), ejection fraction (EF), summed stress score (SSS), summed rest score (SRS) and summed difference score (SDS) between the death group and the survival group ( χ2 values: 4.58-16.13, t values: -2.34, -3.97, Z values: from -2.81 to 5.02, all P<0.05). Multivariate Cox regression analysis showed that SSS (hazard ratio ( HR)=1.153, 95% CI: 1.062-1.252, P=0.001) and hs-CRP ( HR=1.031, 95% CI: 1.004-1.058, P=0.023) were independent risk factors for cardiac death in patients with CKD. The optimal cut-off value of SSS for predicting cardiac death in those patients was determined to be 8 with the AUC of 0.815, and the incidence of cardiac death in the SSS ≥8 group was significantly higher than that in the SSS<8 group (33.3%(12/36) vs 4.0%(5/124); χ2 = 25.44, P<0.001). Conclusion:MPI is an important imaging method for the evaluation of cardiac death in patients with CKD, SSS and hs-CRP are important risk factors in predicting cardiac death in those patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Hypertrophic scar is a fibrous hyperplastic disorder that arises from skin injuries. The current therapeutic modalities are constrained by the dense and rigid scar tissue which impedes effective drug delivery. Additionally, insufficient autophagic activity in fibroblasts hinders their apoptosis, leading to excessive matrix deposition. Here, we developed an active microneedle (MN) system to overcome these challenges by integrating micromotor-driven drug delivery with autophagy regulation to remodel the scar microenvironment. Specifically, sodium bicarbonate and citric acid were introduced into the MNs as a built-in engine to generate CO₂ bubbles, thereby enabling enhanced lateral and vertical drug diffusion into dense scar tissue. The system concurrently encapsulated curcumin (Cur), an autophagy activator, and triamcinolone acetonide (TA), synergistically inducing fibroblast apoptosis by upregulating autophagic activity. In vitro studies demonstrated that active MNs achieved efficient drug penetration within isolated scar tissue. The rabbit hypertrophic scar model revealed that TA-Cur MNs significantly reduced the scar elevation index, suppressed collagen I and transforming growth factor-β1 (TGF-β1) expression, and elevated LC3 protein levels. These findings highlight the potential of the active MN system as an efficacious platform for autonomous augmented drug delivery and autophagy-targeted therapy in fibrotic disorder treatments.

Aim To investigate the role of miR-130b-3p in regulating the USP47/NLRP3 inflammasome in airway remodeling associated with asthma and to explore its potential therapeutic value in asthma treat-ment.Methods An OVA-induced asthma mouse mod-el was established,and intervention with miR-130b-3p agomir was performed.Histological staining,quantita-tive real-time PCR,Western blot,immunofluorescence and flow cytometry were used to analyze the effects of miR-130b-3p on the expression of USP47,NLRP3,and related inflammatory factors,as well as the inflamma-some activity.Results miR-130b-3p was significantly downregulated in asthmatic mice,and its intervention significantly inhibited airway epithelial damage,inflam-matory cell infiltration,and collagen deposition.Addi-tionally,miR-130b-3p targeted USP47 and indirectly suppressed NLRP3 expression,leading to reduced in-flammasome activity and alleviated asthma-related in-flammatory responses.Conclusion miR-130b-3p re-duces asthma-related inflammatory responses by down-regulating USP47 expression and indirectly inhibiting NLRP3 inflammasome activity.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.