Poly(ADP-ribosyl)ation (PARylation) is a specific form of post-translational modification (PTM) predominantly triggered by the activation of poly-ADP-ribose polymerase 1 (PARP1). However, the role and mechanism of PARylation in the advancement of acute kidney injury (AKI) remain undetermined. Here, we demonstrated the significant upregulation of PARP1 and its associated PARylation in murine models of AKI, consistent with renal biopsy findings in patients with AKI. This elevation in PARP1 expression might be attributed to trimethylation of histone H3 lysine 4 (H3K4me3). Furthermore, a reduction in PARylation levels mitigated renal dysfunction in the AKI mouse models. Mechanistically, liquid chromatography-mass spectrometry indicated that PARylation mainly occurred in receptor for activated C kinase 1 (RACK1), thereby facilitating its subsequent phosphorylation. Moreover, the phosphorylation of RACK1 enhanced its dimerization and accelerated the ubiquitination-mediated hypoxia inducible factor-1α (HIF-1α) degradation, thereby exacerbating kidney injury. Additionally, we identified a PARP1 proteolysis-targeting chimera (PROTAC), A19, as a PARP1 degrader that demonstrated superior protective effects against renal injury compared with PJ34, a previously identified PARP1 inhibitor. Collectively, both genetic and drug-based inhibition of PARylation mitigated kidney injury, indicating that the PARylated RACK1/HIF-1α axis could be a promising therapeutic target for AKI treatment.

Gene therapy, harnessing the power of CRISPR-Cas9 and/or DNAzyme systems, stands as a pivotal approach in cancer therapy, enabling the meticulous manipulation of genes pivotal to tumorigenesis and immunity. However, the pursuit of precise gene therapy encounters formidable hurdles. Herein, a near-infrared upconversion theranostic nanomachine is devised and tailors for CRISPR-Cas9/DNAzyme systems mediate precise gene therapy. An ingenious logic DNAzyme system consists of Chain 1 (C1)/Chain 2 (C2) and endogenous lncRNA is designed. We employ manganese modified upconversion nanoparticles for carrying ultraviolet-responsive C1-PC linker-C2 (C₂P) chain and Cas9 ribonucleoprotein (RNP), with outermost coats with hyaluronic acid. Upon reaching tumor microenvironment (TME), the released Mn²⁺ ions orchestrate a trifecta: facilitating endosomal escape, activating cGAS-STING signaling, and enabling T1-magnetic resonance imaging. Under near-infrared irradiation, Cas9 RNP/C₂P complex dissociates, releasing Cas9 RNP into the nucleus to perform gene editing of Ptpn2, while C1/C2 chains self-assemble with endogenous lncRNA to form a functional DNAzyme system, targeting PD-L1 mRNA for gene silencing. This strategy remodels the TME by activating cGAS-STING signaling and dual immune checkpoints blockade, thus realizing tumor elimination. Our theranostic nanomachine armed with the CRISPR-Cas9/DNAzyme logic systems, represents a resourceful and promising strategy for advancing cancer systemic immunotherapy and precise gene therapy.

ObjectiveTo retrospectively analyze the effect of modified Shugan Dingji Decoction （疏肝定悸汤） on the occurrence of endpoint events in patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation. MethodsA retrospective cohort study was conducted using the electronic medical record database of Longhua Hospital affiliated to Shanghai University of Traditional Chinese Medicine to screen and include patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation from January 1st， 2018， to December 31th， 2021. The included patients were divided into an exposure group and a non-exposure group， each consisting of 100 cases， based on whether they received modified Shugan Dingji Decoction. General information of the patients including age， gender， body mass index， duration of illness and comorbidities， medication history， cardiac structure and function indicators such as left atrial diameter， left ventricular end-diastolic diameter， stroke volume and ejection fraction， and the occurrence of endpoint events assessed through 24-hour dynamic electrocardiography or electrocardiogram to determine the recurrence of paroxysmal atrial fibrillation were collected. Kaplan-Meier （K-M） curves and Log-Rank tests were used to conduct survival analysis on the occurrence of endpoint events in the two groups of patients. Univariate and multivariate Cox regression analyses were used to analyze the impact of various factors on entry into endpoint events. Additionally， a safety assessment was performed by comparing liver and kidney function indicators before and after treatment. ResultsIn the non-exposure group， a total of 49 cases （49.0%） experienced endpoint events， while in the exposure group， there were 26 cases （26.0%）. The Log-rank test indicated significant difference between the two groups （χ²=11.211， P=0.001）. Univariate Cox regression analysis showed that age， duration of illness， hypertension， diabetes， chronic heart failure， left atrial diameter， stroke volume， and the use of modified Shugan Dingji Decoction may be the influencing factors for the occurrence of endpoint events in patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation （P＜0.05 or P＜0.01）. Multivariate Cox regression analysis showed that the risk of endpoint events in the exposure group was significantly lower than that in the non-exposure group （P＜0.01）. Patients with a duration of illness ＞12 months had a significantly higher risk of endpoint events compared to those with a duration of illness ≤12 months （P＜0.01）. Patients without concomitant hypertension had a lower risk of endpoint events compared to those with hypertension （P＜0.05）. Patients with left atrial diameter ＞40 mm had significantly higher risk of endpoint events than those with left atrial diameter ≤40 mm （P＜0.01）. There was no statistically significant difference in liver and kidney function indicators between the two groups before and after treatment （P＞0.05）. ConclusionThe use of modified Shugan Dingji Decoction is a protective factor for patients with paroxysmal atrial fibrillation of liver constraint and qi stagnation， which can help to reduce the recurrence and progression of atrial fibrillation. Long duration of illness， concomitant hypertension， and enlarged left atrial diameter are risk factors for patients to experience endpoint events.

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.

Objective:To investigate the genetic subtypes and drug resistance monitoring of newly reported human immunodeficiency virus (HIV) infection/AIDS virus in Anhui Province from 2020 to 2023.Methods:An observational design study was used to collect blood samples from patients diagnosed with HIV/AIDS in the AIDS Prevention and Control Department of Anhui Provincial Center for Disease Control and Prevention from January 2020 to December 2023.The HIV-1 pol gene was amplified by reverse transcription-nested PCR, and the genetic subtypes were identified by phylogenetic tree analysis using MEGA 7.0 software. The mutation sites of drug resistance were analyzed by the online software tool of Stanford University′s HIV Drug resistance database. The influencing factors of drug resistance before treatment were analyzed by multivariate logistic analysis.Results:A total of 335 plasma samples were collected, and 332 HIV-1 pol gene sequences were obtained successfully. The main gene subtypes were CRF01-AE, accounting for 35.55% (118/332), followed by CRF07-BC, B and B+C types [29.22% (97/332), 11.74% (39/332), 9.93% (33/332)]. The total drug resistance rate before treatment was 30.12%(32/100), and the drug resistance rate of protease inhibitor (PIs) in HIV-1 was 6.33% (21/332). The drug resistance rate of nucleoside reverse transcriptase inhibitors (NRTI) before treatment was 6.33% (21/332). The drug resistance rate of non-nucleoside reverse transcriptase inhibitors (NNRTI) before treatment was 17.47% (58/332).The comparison of drug resistance rate of different drug types showed statistical significance ( χ2=30.435, P<0.05).Among the 100 cases of drug resistance, the main mutation point of HIV-1 protease inhibitor was Q58E (21.00%), and the main mutation point of nucleoside reverse transcriptase inhibitor was M184V/I (6.00%). Non-nucleoside reverse transcriptase inhibitor resistance mutation points mainly K103N (22.00%).There were statistically significant differences in the starting time of antiviral therapy, the number of CD4 +T cells at baseline and the drug resistance rate of gene subtypes (the chi-square values are respectively 24.152, 32.516, 11.652, P<0.05).Multivariate logistic analysis showed that the baseline CD4 +T cell count was <200/μl, subtype B, subtype B+C, CRF01-AE subtype, CRF55-01B subtype and 01-BC subtype was the influential factor of drug resistance before treatment (the chi-square values are respectively 4.577, 8.202, 4.416, 5.206, 7.603 and 4.804, P<0.05). Conclusion:The newly reported HIV/AIDS population in Anhui Province from 2020 to 2023 has a variety of viral gene subtypes, and NNRTIs are the main types of drug resistance gene mutations before treatment. Attention should be paid to the number of baseline CD4 +T cells, the duration of antiviral treatment, and the distribution of gene subtypes to reduce the drug resistance of HIV/AIDS patients before treatment.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective To predict the risk of in-hospital death in patients with chronic heart failure(CHF)complicated by lung infections using interpretable machine learning.Methods The clinical data of 1415 patients diagnosed with CHF complicated by lung infections were obtained from the MIMIC-IV database.According to the pathogen type,the patients were categorized into bacterial pneumonia and non-bacterial pneumonia groups,and their risks of in-hospital death were compared using Kaplan-Meier survival curves.Univariate analysis and LASSO regression were used to select the features for constructing LR,AdaBoost,XGBoost,and LightGBM models,and their performance was compared in terms of accuracy,precision,F1 value,and AUC.External validation of the models was performed using the data from eICU-CRD database.SHAP algorithm was applied for interpretive analysis of XGBoost model.Results Among the 4 constructed models,the XGBoost model showed the highest accuracy and F1 value for predicting the risk of in-hospital death in CHF patients with lung infections in the training set.In the external test set,the XGBoost model had an AUC of 0.691(95%CI:0.654-0.720)in bacterial pneumonia group and an AUC of 0.725(95%CI:0.577-0.782)in non-bacterial pneumonia group,and showed better predictive ability and stability than the other models.Conclusion The overall performance of the XGBoost model is superior to the other 3 models for predicting the risk of in-hospital death in CHF patients with lung infections.The SHAP algorithm provides a clear interpretation of the model to facilitate decision-making in clinical settings.

Objective To establish the reference intervals of neutrophil to lymphocyte ratio(NLR),mono-cyte to lymphocyte ratio(MLR)and platelet to lymphocyte ratio(PLR)in different genders and age groups in northern Chinese adults.Methods The data were analyzed according to the Clinical and Laboratory Stand-ards Institute C28-A3.Outliers were checked and judged according to the Dixon method.Subgroups were di-vided according to gender or age factors,and reference intervals were established for different subgroups.Ref-erence intervals were expressed as two-sided 95％percentiles.Results The reference intervals of NLR,MLR and PLR were 0.90-3.82,0.09-0.33 and 71.20-246.87,respectively.The results showed that NLR and PLR in men were lower than those in women(P＜0.001),while MLR in men was significantly higher than that in women(P＜0.001).Linear trend plots showed that NLR,MLR and PLR changed significantly in dif-ferent genders and age groups.In men,NLR and MLR increased with age,while PLR gradually increased and reached the peak before 50 years old,and gradually decreased after 50 years old.In women,NLR and MLR showed the lowest values at 50-＜60 years old,while PLR reached the peak at about 50 years old.The refer-ence intervals established by the model set were verified,and the percentages beyond the reference intervals were less than 10％in different genders and age groups.Conclusion The reference intervals of NLR,MLR and PLR in different genders and age groups of healthy adults in northern China are established in the study.

Objective This study compared the effects of intraoperative intercostal nerve block(ICNB)and preoperative ultrasound-guided paravertebral block(US-PVB)on postoperative complications in patients undergoing thoracoscopic lung surgery.Methods Data from 240 patients who underwent video-assisted thoracoscopic lung surgery under general anesthesia between January 2019 and December 2020 was retrospectively collected.These patients either received intraoperative intercostal nerve block(ICNB)(202 cases)or pre-operative ultrasound-guided paravertebral block(US-PVB)(38 cases).The incidence rates of overall postoperative complications,postoperative pulmonary complications,postoperative cardiac complications,postoperative cerebral complications,other postoperative complications,remedial analgesia requirement in the PACU,intraoperative fentanyl consumption,postoperative oral morphine equivalent(OME),perioperative OME,duration of postoperative drainage tube,postoperative ICU stay,and postoperative hospital stay were compared between the ICNB group and the US-PVB group.Univariate and multivariate regression were used to analyze the effects of different analgesia methods on postoperative complicationsResults There was no statistically significant difference in postoperative overall complications between the ICNB group and the US-PVB group(P＞0.05).In the univariate analysis,no significant difference was found in the overall postoperative complications between the ICNB group(16.3％)and the US-PVB group(13.2％)(OR=0.642,95％CI 0.239-1.786;P=0.404.Multivariate analysis also did not reveal any differences between the two groups(OR=0.843,95％CI 0.299-2.377;P=0746).For the analysis of secondary outcomes,according to multivariate analysis,there was no significant difference between the two groups in postoperative pulmonary complications,postoperative cardiac complications,other postoperative complications,remedial analgesia requirement in the PACU,intraoperative fentanyl consumption,postoperative OME,perioperative OME,duration of postoperative drainage tube,postoperative ICU stay or postoperative hospital stay(P＞0.05).Conclusion In this study,we found no difference in postoperative complications between intraoperative ICNB and preoperative US-PVB.

Type 2 diabetes mellitus (T2DM) is a complex metabolic disorder characterized by chronic hyperglycemia, hyperlipidemia, and peripheral insulin resistance. Endoplasmic reticulum stress (ERS), a response to cellular stress, is activated across various tissues during the progression of T2DM, leading to disruptions in protein synthesis. Notably, epithelial and endocrine cells with hormone-secreting functions are particularly vulnerable to functional impairments induced by ERS. The gut-pancreas axis is essential for regulating metabolism and the progression of T2DM. Intestinal epithelial L cells, integral to the intestinal barrier, can secrete the glucagon-like peptide-1 (GLP-1). This hormone promotes insulin secretion from pancreatic β-cells and plays a critical role in glucose metabolism. Importantly, ERS plays a critical role in regulating glucolipid-induced dysfunction of gut-pancreas axis. For instance, ERS is involved in regulating the intestinal barrier and the secretion of GLP-1 as well as insulin. Therefore, ERS can be a potential target for T2DM treatment. In this paper, we review the regulatory roles of ERS in the gut-pancreas axis during the development of T2DM, and summarize the therapeutic drugs and strategies targeting ERS for T2DM treatment.