Hematopoietic stem cells (HSCs) are tissue specific stem cells that replenish all mature blood lineages during the lifetime of an individual. Hematopoietic cell clusters in the aorta of vertebrate embryos play a pivotal role in the formation of the adult blood system. Recently, people have learned a lot about the embryonic HSCs on their development and homing. During their differentiation, HSCs are regulated by the transcription factors, such as Runx1 and Notch signaling pathway, etc. MicroRNAs also regulate the self-renewal and differentiation of hematopoietic stem/progenitor cells on the post-transcriptional levels. Since the onset of circulation, the formation of HSCs and their differentiation into blood cells, especially red blood cells, are regulated by the hemodynamic forces. It would be of great significance if we could treat hematologic diseases with induced HSCs in vitro on the basis of fully understanding of hemotopoietic stem cell development. This review is focused on the advances in the research of HSCs' development and regulation.
Sepsis-associated acute kidney injury (SAKI) is a common complication of patients in intensive care unit, and also an independent risk factor leading to high mortality of sepsis patients. SAKI leads to an extended hospital stay for patients, resulting in a huge medical burden. The pathogenesis of SAKI is complex, and systemic inflammatory response plays an important role in it. At present, blood adsorption is the main method for treating SAKI in intensive care units, but there is no consensus on the relevant treatment strategies. This article summarizes new perspectives and research conclusions on the application of blood adsorption technology in the treatment of SAKI, aiming to provide new references for the blood adsorption treatment strategies of SAKI.
Objective To explore the global research status and trends of continuous renal replacement therapy (CRRT) based on knowledge visualization analysis. Methods Based on the Web of Science Core Collection, studies reporting CRRT research that were published between June 2014 and June 2023 were retrieved and collected after manual review. VOSviewer and CiteSpace softwares were used for bibliometric visualization analysis, including publication trends, geographical distribution characteristics, journal distribution characteristics, author contributions, citations, funding source characteristics, and keyword clustering. Results A total of 2708 papers were analyzed, with an increasing trend in the number of articles and citation frequency from 2015 to 2021. The United States was the most prolific country and France was the most influential country. The University of Pittsburgh in the United States had the highest number of publications among research institutions and showed higher motivation for inter-institutional collaboration. The University of Queensland in the Australia had the highest average citation frequency. Professor Rinaldo Bellomo of Australia was the most productive author and Professor Jeffrey Lipman was the most influential. Jason A. Roberts, Jeffrey Lipman and Claudio Ronco were the three authors who had the highest number of collaborations with other authors. Keyword cluster analysis showed that the prognosis of CRRT for renal disease was the focus of research, with hotspots of research being antibiotics, citrate accumulation, plasma replacement, lactate clearance, acute respiratory distress syndrome, and coronavirus disease 2019. Coupling analysis of the literature showed that exploring the indications for CRRT and optimizing treatment prescription were at the forefront of research. Conclusions The present study of CRRT has generally shown an upward trend in the last decade. The management and efficacy of CRRT remains a hot topic of research. Exploring the indications for CRRT and optimizing treatment prescriptions may be a popular research direction and trend in the future.
ObjectiveTo investigate the incidence of acute kidney injury (AKI) after deep hypothermic circulatory arrest (DHCA), to explore the risk factors and prognosis of postoperative AKI, and to establish a relatively accurate preoperative risk assessment strategy and prevention measures.MethodsThe clinical data of 252 patients who underwent deep hypothermic circulatory surgery in our hospital from January 2014 to October 2018 were retrospectively analyzed. There were 179 males and 73 females with an average age of 53.6±11.6 years. The patients were divided into an AKI group and a non-AKI group according to the AKI diagnostic criteria developed by kidney disease improving global outcomes (KDIGO). The data of the two groups were compared, and the risk factors related to AKI after DHCA were analyzed by single factor and multivariate logistic regression.ResultsAmong the 252 patients enrolled, the incidence of AKI was 69.0%. The postoperative hospital mortality rate was 7.9% (20/252). The univariate analysis showed that the patient's age and body mass index (BMI)≥28 kg/m2, left ventricular ejection fraction<55%, preoperative serum creatinine (Scr)≥110 μmol/L, preoperative estimated glomerular filtration rate (eGFR), Cleveland score and intraoperative cardiopulmonary bypass time, intraoperative infusion of red blood cells, intraoperative infusion of plasma, postoperative mechanical ventilation time≥40 h and other indicators were significantly different between the two groups (P<0.05); multivariate logistic regression analysis showed that there was significant difference between the two groups in age (OR=1.040, 95% CI 1.017–1.064, P=0.001), BMI≥28 kg/m2 (OR=2.335, 95%CI 1.093–4.990, P=0.029), eGFR<90 mL/(min·1.73 m2) (OR=2.044, 95%CI 1.082–3.863, P=0.028), preoperative Cleveland score (OR=1.300, 95%CI 1.054–1.604, P=0.014) and intraoperative cardiopulmonary bypass time (OR=1.009, 95%CI 1.002–1.017, P=0.014).ConclusionThe incidence of AKI is higher after DHCA. Patients with postoperative AKI have longer hospital stay and higher risk of hospitalization death. The age of patients, BMI≥28 kg/m2, eGFR<90 mL/(min·1.73) m2, Cleveland score, intraoperative extracorporeal circulation time are independent risk factors for AKI after DHCA.
After comparative interpretation of the essentials and highlights of the expert recommendations based on European experience published in 2019 and the expert recommendations based on Asia Pacific experience published in 2021, this article summarizes the core principles of adsorptive hemofiltration for sepsis in following aspects, including patient selection, laboratory index, and key factors in the implementation of treatment (covering initiation timing and duration, choice of anticoagulant mode, discontinuation, etc) combined with the experience in West China Hospital of Sichuan University as well, to provide references for sepsis management with adsorptive hemofiltration in clinical practice.
Monoclonal gammopathy of renal significance (MGRS) is a group of diseases with different renal damage. It is a new type of renal disease with various types of diseases and complex disease mechanism. In MGRS, due to the clonal proliferation of B lymphoid cells or plasma cells, a large number of monoclonal immunoglobulin (MIg) and/or a large number of free light chain (FLC) appear. Intact MIg can interact with intrinsic cells of glomerulus to change its biology in order to promote the development of renal disease, while monoclonal FLC can potentially alter the function of various cells throughout the nephron. Given the relationship of MIg and monoclonal FLC to MGRS, inhibition of MIg and monoclonal FLC would be a promising approach for the treatment of MGRS. This paper reviews the pathogenesis of MGRS from the sites of renal involvement, including glomerulus, renal tubule-interstitium and renal blood vessel.
Kidney tumor is one of the diseases threatening human health. Ultrasound is widely applied in kidney tumor diagnosis due to its high popularization, low price and no radiation. Accurate segmentation of kidney tumor is the basis of precise treatment. Kidney tumors often grow in the middle of cortex, so that segmentation is easy disturbed by nearby organs. Besides, ultrasound images own low contrast and large speckle, leading to difficult segmentation. This paper proposed a novel kidney tumor segmentation method in ultrasound images using adaptive sub-regional evolution level set models (ASLSM). Regions of interest are firstly divided into subareas. Secondly, object function is designed by integrating inside and outside energy and gradient, in which the ratio of these two parts are adjusted adaptively. Thirdly, ASLSM adapts convolution radius and curvature according to centroid principle and similarity inside and outside zero level set. Hausdorff distance (HD) of (8.75 ± 4.21) mm, mean absolute distance (MAD) of (3.26 ± 1.69) mm, dice-coefficient (DICE) of 0.93 ± 0.03 were obtained in the experiment. Compared with traditional ultrasound segmentation method, ASLSM is more accurate in kidney tumor segmentation. ASLSM may offer convenience for doctor to locate and diagnose kidney tumor in the future.