Objective The purpose of this study was to review all published reports on thoracic/ abdominal stent graft and investigate the incidence rates of six main adverse events(MAEs):myocardial infarction,paraplegia,renal failure,respiratory failure,stroke and all-cause mortality.Methods Electronic databases(PubMed、Embase、OVID、ProQuest、Elsevier and The Cochrane Library) were searched from inception through May 2014 to identify studies that assessed the safety of thoracic/abdominal aortic coated stents on MAEs.The incidence rates with 95％ confidence intervals(95％ CIs) were derived using a random effects model,considering the heterogeneity between the included studies.Subgroup and sensitivity analyses were applied to explore heterogeneity.Results A total of 152 studies were included in the analysis with 264 arms.For thoracic stent graft,meta-analysis yielded a combined estimated incidence rates of 12.2％,and the most common MAEs was all-cause mortality (8.1％),followed by respiratory failure (6.5 ％).For abdominal stent graft,meta-analysis yielded a combined estimated incidence rates of 4.6％,and the most common MAEs was all-cause mortality(4.0％),followed by myocardial infarction(2.1％).For thoracic and abdominal stent graft,subgroup analysis stratified by age and proportion of males indicated that middle-aged and females have a higher incidence rates of all-cause mortality.Besides,subgroup analysis stratified by follow-up time indicated that the longer follow-up time,the higher incidence rate of all-cause mortality.Conclusion The current evidence indicates that the incidence of MAEs of thoracic and abdominal stent graft is high,and we should pay more attention to the patients and follow up them as long as possible.

The gas chromatography method was developed for the determination of ethylene glycol, diethylene glycol and triethylene glycol in poloxamer 188 to provide scientific basis for the quality control. The samples was separated on column VF-17ms(30 m×0. 53 mm, 1. 0 μm)with temperature programming, inlet temperature was 270 °C, detector temperature was 290 °C and the split ratio was 10 ∶1. The method showed great linearity over the range of 6-15 μg/mL(r≥0. 999). The injection precision(n=8)of the three residual impurities were 3. 3%, 3. 0%, 2. 3% and the average recoveries were 99. 05%(RSD=2. 9%, n=9), 102. 20%(RSD=4. 0%, n=9), 101. 91%(RSD=3. 1%, n=9), respectively. The analytical method is specific, accurate and sensitive, which is suitable for the determination of ethylene glycol, diethylene glycol and triethylene glycol in poloxamer 188, providing reference and guidance for the production and quality control of poloxamer 188.

Objective:To analyze the changes of diagnosis and treatment before and after renal biopsy in adult patients with acute kidney disease (AKD), and to explore the value of renal biopsy in the diagnosis and treatment of AKD.Methods:It was a single-center retrospective observational study. The adult patients with AKD who underwent renal biopsy in the Department of Nephrology of the First Affiliated Hospital of Nanjing Medical University from January 1, 2017 to December 31, 2021 were enrolled. Demographic data, general clinical data, laboratory tests, and diagnosis and treatment data before and after renal biopsy were collected to analyze the concordance rate between clinical and pathological diagnoses, changes in treatment after renal biopsy, and bleeding complication.Results:A total of 575 patients diagnosed with AKD by renal biopsy were included in this study, with age of 51 (36, 63) years old and 359 males (62.4%). Among them, there were 293 patients (51.0%) of acute kidney injury, 348 patients (60.5%) of hypertension and 124 patients (21.6%) of diabetes. The peak serum creatinine was 272 (190, 477) μmol/L. The hemoglobin was 106 (86, 126) g/L. The 24-hour urine protein was 2.15 (0.79, 4.82) g. There were 347 patients (60.3%) of acute glomerular diseases, 136 patients (23.7%) of acute interstitial nephritis, 47 patients (8.2%) of thrombotic microangiopathy, and 45 patients (7.8%) of acute tubular necrosis. The most common types of acute glomerular diseases were IgA nephropathy and anti-neutrophil cytoplasmic antibody-associated glomerulonephritis, accounting for 22.3% (128/575) and 12.2% (70/575), respectively. The clinical diagnoses before renal biopsy were consistent with the renal histopathological diagnoses in 454 patients, with an accuracy rate of 79.0%. Following the renal biopsy, the treatment plan involving glucocorticoids or immunosuppressants was adjusted in 394 patients (68.5%). Significant post-biopsy bleeding occurred in 15 patients (2.6%), with 12 patients requiring blood transfusion and 1 patient requiring surgical intervention.Conclusions:Twenty-one clinical diagnoses do not match the pathological diagnoses in adult AKD patients, 68.5% of patients have changes in their treatment plans, and 2.6% of patients have significant hemorrhagic complications after renal biopsy. Clinicians need to carefully consider the benefits and risks and make individualized decisions about renal biopsy.

Cardiovascular disease is still the leading cause of mortality worldwide. Vascular endothelial dysfunction is viewed as the initial step of most cardiovascular diseases. Many studies have indicated that periodontal pathogens, especially Porphyromonas gingivalis, are closely correlated with vascular endothelial homeostasis, but the function of P. gingivalis and the underlying mechanisms are still elusive. To illuminate the effects and elucidate the mechanisms of P. gingivalis on endothelial structural integrity, we developed P. gingivalis infection models in vivo and in vitro. Endothelial cell proliferation, differentiation and apoptosis were detected. Here, we showed that P. gingivalis can impair endothelial integrity by inhibiting cell proliferation and inducing endothelial mesenchymal transformation and apoptosis of endothelial cells, which reduce the cell levels and cause the endothelium to lose its ability to repair itself. A mechanistic analysis showed that TLR antagonist or NF-κB signalling inhibitor can largely rescue the damaged integrity of the endothelium caused by P. gingivalis, suggesting that TLR-NF-κB signalling plays a vital role in vascular endothelial homeostasis destroyed by P. gingivalis. These results suggest a potential intervention method for the prevention and treatment of cardiovascular disease.

At present, implant surgery robots have basically achieved "surgical intelligence", but "brain-inspired intelligence" of robots is still in the stage of theory and exploration. The formulation of a clinical implantation plan depends on the timing of implantation, implantation area, bone condition, surgical procedure, patient factors, etc., which need to evaluate the corresponding clinical decision indicators and clinical pathways. Inspired by evidence-based medicine and the potential of big data and deep learning, combined with the data characteristics of clinical decision indicators and clinical pathways that can be quantitatively or qualitatively analyzed, this review simulates the cognitive behavior and neural mechanisms of the human brain and proposes a feasible brain-inspired intelligence scheme by predicting the decision indices and executing clinical pathways intelligently, that is, "select clinical indicators and clarify clinical pathways -- construct database -- use deep learning to intelligently predict decision indicators -- intelligent execution of clinical pathways -- brain-inspired intelligence of implant decision-making". Combined with the previous research results of our team, this review also describes the process of realization of brain-inspired intelligence for immediate implant timing decisions, providing an example of the comprehensive realization of brain-inspired intelligence of implant surgery robots in the future. In the future, how to excavate and summarize other clinical decision factors and select the best way to realize the automatic prediction of evidence-based clinical indicators and pathways and finally realize the complete intellectualization of clinical diagnosis and treatment processes will be one of the directions that dental clinicians need to strive for.

Arrhythmia is an important disease among cardiovascular diseases. Malignant arrhythmias often occur clinically and are induced by abnormal ion channels， electrical activity disorders， myocardial fibrosis， inflammation， dysfunctional mitochondrial biogenesis， mitochondrial calcium overload， out-of-balance energy metabolism， oxidative stress， sympathetic hyperactivity， and other pathological cardiac remodeling， and they are the main causes of sudden cardiac death. In traditional Chinese medicine， arrhythmias are considered to be palpitations， which are commonly caused by deficiency of Qi and Yin. It is often manifested as a deficiency of the spleen and stomach， resulting in malfunction of the Qi mechanism， followed by a particularly severe decline in cardiac function. Shengmaisan is a representative formula for nourishing Qi and Yin， consisting of Ginseng Radix et Rhizoma， Ophiopogonis Radix， and Schisandrae Chinensis Fructus. In recent years， clinical studies have shown that Shengmaisan and its additions and subtractions are commonly used in the treatment of arrhythmias. In this article， the mechanisms of the active ingredients of Shengmaisan in the electrophysiology， biochemistry， structure， autonomic nervous system， and subcellular fraction of the heart are reviewed， and the multi-target， multi-system， and integrality of Shengmaisan in the treatment of arrhythmias of Qi and Yin deficiency are described. In addition， energy metabolism disorder is tightly juxtaposed with Qi and Yin deficiency syndrome. Mitochondria， as the center of myocardial energy metabolism， play a paramount role in cardiac remodeling， indicating that Shengmaisan will be a salient part of future research to ameliorate cardiac pathologic remodeling through energy metabolism of mitochondria， so as to provide a theoretical basis for the clinical treatment of these arrhythmias.

The chemical complexity of traditional Chinese medicines (TCMs) makes the active and functional annotation of natural compounds challenging. Herein, we developed the TCMs-Compounds Functional Annotation platform (TCMs-CFA) for large-scale predicting active compounds with potential mechanisms from TCM complex system, without isolating and activity testing every single compound one by one. The platform was established based on the integration of TCMs knowledge base, chemome profiling, and high-content imaging. It mainly included: (1) selection of herbal drugs of target based on TCMs knowledge base; (2) chemome profiling of TCMs extract library by LC‒MS; (3) cytological profiling of TCMs extract library by high-content cell-based imaging; (4) active compounds discovery by combining each mass signal and multi-parametric cell phenotypes; (5) construction of functional annotation map for predicting the potential mechanisms of lead compounds. In this stud TCMs with myocardial protection were applied as a case study, and validated for the feasibility and utility of the platform. Seven frequently used herbal drugs (Ginseng, etc.) were screened from 100,000 TCMs formulas for myocardial protection and subsequently prepared as a library of 700 extracts. By using TCMs-CFA platform, 81 lead compounds, including 10 novel bioactive ones, were quickly identified by correlating 8089 mass signals with 170,100 cytological parameters from an extract library. The TCMs-CFA platform described a new evidence-led tool for the rapid discovery process by data mining strategies, which is valuable for novel lead compounds from TCMs. All computations are done through Python and are publicly available on GitHub.

Nerve regeneration in adult mammalian spinal cord is poor because of the lack of intrinsic regeneration of neurons and extrinsic factors - the glial scar is triggered by injury and inhibits or promotes regeneration. Recent technological advances in spatial transcriptomics (ST) provide a unique opportunity to decipher most genes systematically throughout scar formation, which remains poorly understood. Here, we first constructed the tissue-wide gene expression patterns of mouse spinal cords over the course of scar formation using ST after spinal cord injury from 32 samples. Locally, we profiled gene expression gradients from the leading edge to the core of the scar areas to further understand the scar microenvironment, such as neurotransmitter disorders, activation of the pro-inflammatory response, neurotoxic saturated lipids, angiogenesis, obstructed axon extension, and extracellular structure re-organization. In addition, we described 21 cell transcriptional states during scar formation and delineated the origins, functional diversity, and possible trajectories of subpopulations of fibroblasts, glia, and immune cells. Specifically, we found some regulators in special cell types, such as Thbs1 and Col1a2 in macrophages, CD36 and Postn in fibroblasts, Plxnb2 and Nxpe3 in microglia, Clu in astrocytes, and CD74 in oligodendrocytes. Furthermore, salvianolic acid B, a blood-brain barrier permeation and CD36 inhibitor, was administered after surgery and found to remedy fibrosis. Subsequently, we described the extent of the scar boundary and profiled the bidirectional ligand-receptor interactions at the neighboring cluster boundary, contributing to maintain scar architecture during gliosis and fibrosis, and found that GPR37L1_PSAP, and GPR37_PSAP were the most significant gene-pairs among microglia, fibroblasts, and astrocytes. Last, we quantified the fraction of scar-resident cells and proposed four possible phases of scar formation: macrophage infiltration, proliferation and differentiation of scar-resident cells, scar emergence, and scar stationary. Together, these profiles delineated the spatial heterogeneity of the scar, confirmed the previous concepts about scar architecture, provided some new clues for scar formation, and served as a valuable resource for the treatment of central nervous system injury.
Mice ; Animals ; Gliosis/pathology* ; Cicatrix/pathology* ; Spinal Cord Injuries ; Astrocytes/metabolism* ; Spinal Cord/pathology* ; Fibrosis ; Mammals ; Receptors, G-Protein-Coupled