Mesangial cell proliferation is an early pathological indicator of diabetic nephropathy (DN). Growing evidence highlights the pivotal role of paired-related homeobox 1 (Prrx1), a key regulator of cellular proliferation and tissue differentiation, in various disease pathogenesis. Notably, Prrx1 is highly expressed in mesangial cells under DN conditions. Both in vitro and in vivo studies have demonstrated that Prrx1 overexpression promotes mesangial cell proliferation and contributes to renal fibrosis in db/m mice. Conversely, Prrx1 knockdown markedly suppresses hyperglycemia-induced mesangial cell proliferation and mitigates renal fibrosis in db/db mice. Mechanistically, Prrx1 directly interacts with the Yes-associated protein 1 (YAP) promoter, leading to the upregulation of YAP expression. This upregulation promotes mesangial cell proliferation and exacerbates renal fibrosis. These findings emphasize the crucial role of Prrx1 upregulation in high glucose-induced mesangial cell proliferation, ultimately leading to renal fibrosis in DN. Therefore, targeting Prrx1 to downregulate its expression presents a promising therapeutic strategy for treating renal fibrosis associated with DN.

Background Improper settings of outdoor smoking points in public places may increase the risk of secondhand smoke exposure among the population. Conducting research on air pollution in and around smoking spots and related influencing factors can provide valuable insights for optimizing the setting of outdoor smoking points. Objective To investigate the influence of the number of smokers at outdoor smoking points and the distance on the diffusion characteristics of surrounding air pollutants, in order to optimize the setting of outdoor smoking points. Methods Surrounding the exhibition halls in the China International Import Expo (CIIE), two outdoor smoking points were randomly selected, one on the first floor (ground level) and the other on the second floor (16 m above ground), respectively. At 0, 3, 6, and 9 m from the smoking points in the same direction, validated portable air pollutant monitors were used to measure the real-time fine particulate matter (PM_2.5) and carbon dioxide (CO₂) concentrations for consecutive 5 d during the exhibition, as well as the environmental meteorological factors at 0 m with weather meters including wind speed, wind direction, and air pressure. An open outdoor atmospheric background sampling point was selected on each of the two floors to carry out parallel sampling. Simultaneously, the number of smokers at each smoking point were double recorded per minute. The relationships between the number of smokers, distance from the smoking points, and ambient PM_2.5 and CO₂ concentrations were evaluated by generalized additive regression models for time-series data after adjustment of confounders such as temperature, relative humidity, and wind speed. Results The median numbers of smokers at smoking points on the first and second floors were 6 [interquartile range (IQR): 3, 9] and 9 (IQR: 6, 13), respectively. Windless (wind speed <0.6 m·s⁻¹) occupied most of the time (85.9%) at both locations. The average concentration of ambient PM_2.5 at the smoking points (0 m) [mean ± standard deviation, (106±114) μg·m⁻³] was 4.2 times higher than that of the atmospheric background [(25±7) μg·m⁻³], the PM_2.5 concentration showed a gradient decline with the increase of distance from the smoking points, and the average PM_2.5 concentration at 9 m points [(35±22) μg·m⁻³] was close to the background level (1.4 times higher). The maximum concentration of CO₂ [(628±23) μmol·mol⁻¹] was observed at 0 m, and its average value was 1.3 times higher than that of the atmospheric background [(481±40) μmol·mol⁻¹], and there was no gradient decrease in CO₂ concentration with increasing distance at 0, 3, 6, and 9 m points. The regression analyses showed that, taking smoking point as the reference, every 3 m increase in distance was associated with a decrease of ambient PM_2.5 by 24.6 [95% confidence interval (95%CI): 23.5, 25.8] μg·m⁻³ (23.2%) and CO₂ by 54.1 (95%CI: 53.1, 55.1) μmol·mol⁻¹ (8.6%). Every one extra smoker at the smoking point was associated with an average increase of PM_2.5 and CO₂ by 2.0 (95%CI: 1.7, 2.8) μg·m⁻³ and 1.0 (95%CI: 0.7，1.2) μmol·mol⁻¹, respectively. The sensitivity analysis indicated that, under windless conditions, the concentrations of PM_2.5 and CO₂ at the smoking points were even higher but the decreasing and dispersion characteristics remained consistent. Conclusion Outdoor smoking points could significantly increase the PM_2.5 concentrations in the surrounding air and the risks of secondhand smoke exposure, despite of the noticeable decreasing trend with increasing distance. Considering the inevitable poor dispersion conditions such as windless and light wind, outdoor smoking points are recommended to be set at least 9 m or farther away from non-smoking areas.

Objective:To assess the prevalence and type of tissue prolapse (TP) occurring after endovascular treatment (ET), investigate the association between TP types and plaque morphological characteristics before ET, and observe in-stent neointimal hyperplasia (NIH) using optical coherence tomography (OCT).Methods:Patients who underwent carotid artery stenting and received pre- and post-ET OCT assessment at Jinling Hospital between July 2018 and December 2019 were collected. Baseline plaque characteristics and TP features were evaluated using OCT. The TPs were classified into two categories: smooth TP (STP) and irregular and/or high attenuated TP (I/HTP). The association between I/HTP and plaque characteristics was analyzed, while NIH feature was also summarized.Results:A total of 29 patients were included in the study, of whom 23 patients (79.3%) presented with TP. Among these 23 patients, 9 were classified as I/HTP and 14 were classified as STP. Compared with STP, I/HTP was more commonly observed in lipid-rich plaques (7/9 vs 2/14, P=0.007), and lesions with cap rupture (7/9 vs 4/14, P=0.036). Additionally, the longitudinal length of TP appeared to be longer in cases with I/HTP compared to those with STP [3.0 (1.5, 4.6) mm vs 1.1 (0.7, 3.2) mm, Z=1.294, P=0.201]. Six patients underwent OCT follow-up for a mean duration of 6.7 months, of whom 3 patients with I/HTP showed severe heterogeneous NIH (50.1%-61.8%), while 1 patient with STP and 2 patients without TP only demonstrated mild NIH. Conclusions:The study observed that I/HTP was commonly found in plaques with larger lipid core and/or cap rupture, and suggested a potential relationship between I/HTP and NIH. These preliminary findings obtained from a limited sample should be verified by prospective large-scale studies.

Objective:To investigate the influencing factors, periprocedural complications, and long-term outcomes of successful recanalization after endovascular treatment in patients with non-acute symptomatic internal carotid artery occlusion.Methods:Patients with non-acute internal carotid artery occlusion received endovascular treatment in the Nanjing Stroke Registration System between January 2010 and December 2021 were retrospectively enrolled. Clinical endpoint events were defined as successful vascular recanalization, periprocedural complications (symptomatic embolism and symptomatic intracranial hemorrhage), neurological function improvement, and recurrence of ipsilateral ischemic events. Multivariate logistic regression analysis was used to investigate the independent influencing factors of successful vascular recanalization. Cox proportional hazards regression analysis was used to investigate the correlation between endovascular treatment outcomes and neurological function improvement, as well as ipsilateral ischemic cerebrovascular events. Results:A total of 296 patients were included, of which 190 (64.2%) were successfully recanalized. Multivariate logistic regression analysis showed that symptoms manifest as ischemic stroke (odds ratio [ OR] 3.353, 95% confidence interval [ CI] 1.399-8.038; P=0.007), the time from the most recent symptom onset to endovascular therapy within 1 to 30 d ( OR 2.327, 95% CI 1.271-4.261; P=0.006), proximal conical residual cavity ( OR 2.853, 95% CI 1.242-6.552; P=0.013) and focal occlusion (C1-C2: OR 3.255, 95% CI 1.296-8.027, P=0.012; C6/C7: OR 5.079, 95% CI 1.334-19.334; P=0.017) were the independent influencing factors for successful vascular recanalization. Successful recanalization did not increase the risk of symptomatic intracranial hemorrhage within 7 d after procedure (3.2% vs. 0.9%; P=0.428). The median follow-up time after procedure was 38 months. Cox proportional hazards regression analysis showed that after adjusting for confounding factors, successful recanalization was significantly associated with postprocedural neurological improvement (hazard ratio 1.608, 95% CI 1.091-2.371; P=0.017), and significantly reduced the risk of recurrence of long-term ischemic events (hazard ratio 0.351, 95% CI 0.162-0.773; P=0.010). Conclusion:In patients with non-acute internal carotid artery occlusion, successful endovascular recanalization can effectively reduce the risk of long-term ischemic events without increasing the risk of symptomatic intracranial hemorrhage.

Objective:To investigate predictive factors for successful endovascular recanalization in patients with non-acute symptomatic internal carotid artery occlusion (SICAO), to develop a decision tree model using the Classification and Regression Tree (CART) algorithm, and to evaluate the predictive performance of the model.Methods:Patients with non-acute SICAO received endovascular therapy at 8 comprehensive stroke centers in China were included retrospectively. They were randomly assigned to a training set and a validation set. In the training set, the least absolute shrinkage and selection operator (LASSO) algorithm was used to screen important variables, and a decision tree prediction model was constructed based on CART algorithm. The model was evaluated using the receiver operating characteristic (ROC) curve, Hosmer-Lemeshow goodness-of-fit test and confusion matrix in the validation set.Results:A total of 511 patients with non-acute SICAO were included. They were randomly divided into a training set ( n=357) and a validation set ( n=154) in a 7:3 ratio. The successful recanalization rates after endovascular therapy were 58.8% and 58.4%, respectively. There was no statistically significant difference ( χ2=0.007, P=0.936). A CART decision tree model consisting of 5 variables, 5 layers and 9 classification rules was constructed using the six non-zero-coefficient variables selected by LASSO regression. The predictive factors for successful recanalization included fewer occluded segments, proximal tapered stump, ASITN/SIR collateral grading of 1-2, ischemic stroke, and a recent event to endovascular therapy time of 1-30 d. ROC analysis showed that the area under curve of the decision tree model in the training set was 0.810 (95% confidence interval 0.764-0.857), and the optimal cut-off value for predicting successful recanalization was 0.71. The area under curve in the validation set was 0.763 (95% confidence interval 0.687-0.839). The accuracy was 70.1%, precision was 81.4%, sensitivity was 63.3%, and specificity was 79.7%. The Hosmer-Lemeshow test in both groups showed P>0.05. Conclusion:Based on the type of ischemic event, the time from the latest event to endovascular therapy, proximal stump morphology, the number of occluded segments, and the ASITN/SIR collateral grading constructed the decision tree model can effectively predict successful recanalization after non-acute SICAO endovascular therapy.

Objective:To test and evaluate the reliability and clinical effectiveness of osteoporotic thoracolumbar fracture (OTLF) scoring and classification system.Methods:A multicenter retrospective case series study was conducted to analyze the clinical data of 530 OTLF patients admitted to 8 hospitals including Honghui Hospital Affiliated to Xi'an Jiaotong University from January 2021 to June 2022. There were 212 males and 318 females, aged 55-90 years [(72.6±10.8)years]. There were 4 patients with grade C and 18 with grade D according to American Spinal Injury Association (ASIA) classification. According to the osteoporotic thoracolumbar injury classification and severity (OTLICS) score, all patients had an OTLICS score over 4 points and required surgical treatment. Among them, 410 patients had acute symptomatic OTLF (ASOTLF), including 24 patients with type I, 159 type IIA, 47 type IIB, 31 type IIC, 136 type IIIA, 8 type IIIB, 2 type IV (absence of neurological symptoms) and 3 type IV (presence of neurological symptoms), and 120 patients had chronic symptomatic OTLF (CSOTLF), including 62 patients with type I, 21 type II, 17 type III, 3 type IV (reducible under general anesthesia), 9 type IV (not reducible under general anesthesia), 1 type V (reducible under general anesthesia), 5 type V (presence of neurological symptoms), and 2 type V (not reducible under general anesthesia). Surgical procedures included percutaneous vertebroplasty (PVP), positional repositioning plus PVP, percutaneous kyphoplasty (PKP), posterior open reduction combined with bone graft fusion and bone cement augmented screw internal fixation, posterior open reduction combined with decompression, bone graft fusion and bone cement augmented screw internal fixation, and posterior open reduction combined with osteotomy and orthopedics, bone graft fusion and bone cement augmented screw internal fixation. A weighted Kappa was used to test the interobserver and intraobserver reliability of the OTLICS score, the ASOTLF classification, and the CSOTLF classification. The visual analog scale (VAS), Oswestry disability index (ODI), ASIA classification were compared before, at 1 month after surgery and at the last follow-up. Incidence of postoperative complications was observed.Results:The percentage of mean interobserver agreement for OTLICS staging was 93.4%, with a mean confidence Kappa value of 0.86, and the percentage of mean intraobserver agreement was 93.0%, with a mean confidence kappa value of 0.86. The percentage of mean interobserver agreement for ASOTLF staging was 94.2%, with a mean confidence Kappa value of 0.84, and the percentage of mean intraobserver agreement was 92.5%, with a mean confidence Kappa value of 0.83. The percentage of mean interobserver agreement for CSOTLF subtyping was 91.9%, with a mean confidence Kappa value of 0.80, and the percentage of mean intraobserver agreement was 91.3%, with a mean confidence Kappa value of 0.81. All the patients were followed up for 6-12 months [(9.0±2.1)months]. The VAS and ODI scores were significantly lower in patients with ASOTLF and CSOTLF classifications at 1 month after surgery and at the last follow-up than those before surgery (all P<0.05). The VAS scores in patients with ASOTLF types IIA, IIB, IIC, IIIA, and IV were significantly lower at the last follow-up than that at 1 month after surgery; the ODI scores in patients with ASOTLF types I, IIA, IIB, IIIA, IIIB and IV were significantly lower at the last follow-up than those at 1 month after surgery. The VAS scores in patients with CSOTLF types II, III, IV, and V were significantly lower at the last follow-up than those at 1 month after surgery, and the ODI scores in patients with all CSOTLF types were significantly lower at the last follow-up than those at 1 month after surgery (all P<0.05). Two patients with ASIA grade C recovered to grade D, and the rest recovered to grade E at the last follow-up ( P<0.01). No major vessel or nerve injury or internal fixation failure was found during follow-up. There were 18 patients with cement leakage, none of whom showed relevant clinical symptoms. There were 35 patients with new vertebral fractures, all of whom recovered well after symptomatic treatment. Conclusions:The OTLICS score, ASOTLF classification and CSOTLF classification have a high degree of reliability. Application of stepwise treatment for patients with different levels of injury according to the scoring and classification system can reduce pain, promote recovery of the spinal function, and reduce complications, which is of some significance in guiding the selection of clinical treatment.

Nearly a quarter of the world's population is infected with Mycobacterium tuberculosis and remains long-term asymptomatic infection. Rv2626c is a latent infection-related protein regulated by DosR of M. tuberculosis. In this study, the Rv2626c protein was prokaryotically expressed and purified, and its immunobiological characteristics were analyzed using RAW264.7 cells and mice as infection models. SDS-PAGE and Western blotting analysis showed that the Rv2626c-His fusion protein was mainly expressed in soluble form and specifically reacted with the rabbit anti-H37RV polyclonal serum. In addition, we found that the Rv2626c protein bound to the surface of RAW264.7 macrophages and up-regulated the production of NO. Moreover, the Rv2626c protein significantly induced the production of pro-inflammatory cytokines IFN-γ, TNF-α, IL-6 and MCP-1, and induced strong Th1-tendency immune response. These results may help to reveal the pathogenic mechanism of M. tuberculosis and facilitate the development of new tuberculosis vaccine.
Animals ; Mice ; Rabbits ; Mycobacterium tuberculosis/genetics* ; Tuberculosis ; Antigens, Bacterial ; Cytokines ; Immunity, Cellular

Cardiovascular diseases (CVDs) and metabolic disorders are major components of noncommunicable diseases, causing an enormous health and economic burden worldwide. There are common risk factors and developmental mechanisms among them, indicating the far-reaching significance in exploring the corresponding therapeutic targets. MST1/2 kinases are well-established proapoptotic effectors that also bidirectionally regulate autophagic activity. Recent studies have demonstrated that MST1/2 influence the outcome of cardiovascular and metabolic diseases by regulating immune inflammation. In addition, drug development against them is in full swing. In this review, we mainly describe the roles and mechanisms of MST1/2 in apoptosis and autophagy in cardiovascular and metabolic events as well as emphasis on the existing evidence for their involvement in immune inflammation. Moreover, we summarize the latest progress of pharmacotherapy targeting MST1/2 and propose a new mode of drug combination therapy, which may be beneficial to seek more effective strategies to prevent and treat CVDs and metabolic disorders.

Objective:To determine whether the neutrophil-lymphocyte-ratio (NLR) a inflammatory factor can predict tumor response to neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer.Methods:Between 2014 and 2019, 205 locally advanced rectal cancer patients underwent CRT before curative surgery. After propensity score matching, 148 patients (74 matched pairs) were enrolled in this study. The hematological parameters were collected and their relationship with tumor response was investigated.Results:After propensity score matching, NLR before CRT in good response group were significantly lower than that in poor response group(2.2±1.0 vs. 2.4±1.2, Z=-2.465, P<0.05), while there was no significant difference in all hematological characteristics between two groups after CRT. The cutoff values of pre-CRT NLR was 3.88 after receiver operating characteristic analysis(AUC=0.618, 95% CI: 0.528-0.708). Multivariate analysis model indicated that pre-CRT NLR≥3.88 was the predictor of poor tumor response ( OR=5.826, 95% CI: 1.299-26.132, P<0.05). Conclusion:The increased NLR before CRT can be regarded as a hematological factor for poor tumor response in locally advanced rectal cancer.

Astragali radix(AR,the dried root of Astragalus)is a popular herbal remedy in both China and the United States.The commercially available AR is commonly classified into premium graded(PG)and ungraded(UG)ones only according to the appearance.To uncover novel sensitive and specific markers for AR grading,we took the integrated mass spectrometry-based untargeted and targeted metabolomics ap-proaches to characterize chemical features of PG and UG samples in a discovery set(n=16 batches).A series of five differential compounds were screened out by univariate statistical analysis,including arginine,calycosin,ononin,formononetin,and astragaloside Ⅳ,most of which were observed to be accumulated in PG samples except for astragaloside Ⅳ.Then,we performed machine learning on the quantification data of five compounds and constructed a logistic regression prediction model.Finally,the external validation in an independent validation set of AR(n=20 batches)verified that the five com-pounds,as well as the model,had strong capability to distinguish the two grades of AR,with the pre-diction accuracy＞90％.Our findings present a panel of meaningful candidate markers that would significantly catalyze the innovation in AR grading.