Objective:To investigate the effect of goal-directed fluid therapy(GDFT)under the guidance of LIDCOrapid hemodynamic monitor on postoperative nausea and vomiting(PONV)of patients after gynecological laparoscopic surgery.Methods:A total of 90 patients who underwent laparoscopic extensive hysterectomy under general anesthesia in Affiliated Hospital of Shandong Second Medical University from August 2020 to June 2021 were selected,and they were divided into observation group and control group as random number table,with 45 cases in each group.Patients in control group supplemented fluid according to the guidance of urine output and mean arterial pressure(MAP).Patients in observation group supplemented fluid according to GDFT under guidance of stroke volume variation(SVV).The MAP values,heart rates(HR),SVV values and cardiac index(CI)values at the 10th min after patients entered the operation room(T0),the 3rd min after anesthesia induction(T1),and the 3rd min(T2),the 30th min(T3)and the 1st h(T4)after Terndelenburg position,and the time of completing surgery(T5)were observed.In addition,the intraoperative intake and output volume of liquid,the indicators of gastrointestinal function recovery after surgery,and the length of stay also were observed.The PONV incidence of main outcome indicators,and the PONV scores of postoperative 0-6h(T6),6-12 h(T7),12-24 h(T8)and 24-48 h(T9)of secondary outcome indicators,as well as the number of patients who received the treatment of antiemetic compensation after surgery,were analyzed.Results:The PONV incidence of observation group was significantly lower than that of control group(x2=6.40,P<0.05).The PONV scores of postoperative T6 and T7 of observation group were significantly lower than those of control group(t=4.92,3.42,P<0.05),respectively.The HR and CI value at T4 of observation group were significantly higher than those of control group(t=0.73,0.64,P<0.05),while the SVV of observation group increased from T3 to T5,with significant differences(t=2.28,3.42,4.10,P<0.05),respectively.The intraoperative crystalline fluid input and total infusion volume decreased,while colloidal fluid input increased,and the differences of them between two groups were significant(t=15.10,12.36,8.19,P<0.05),respectively.The postoperative exhaust time,defecation time and feeding time of observation group were significantly earlier than these of control group(t=3.79,2.09,2.54,P<0.05),respectively.But there was no statistical difference in the length of stay between the two groups.Conclusion:GDFT,which is guided by LIDCOrapid hemodynamic monitor,may decrease the incidence of PONV of gynecological laparoscopic surgery and the severity of PONV within 12 hours after surgery.

Under the combination of postgraduate education and standardized medical residents training, via exploring current situation, we put forward the limitations of routine rotation training, disconnection of theory and practice, inefficient of scientific ability. We arouse a new model by improving teaching model, enriching teaching content, optimizing teaching method, making better arrangement of rotations and cultivating scientific ability to provide references for enhancing the ability of clinical thinking, practice, scientific research and communication.

Heart valve disease (HVD) is one of the common cardiovascular diseases. Heart sound is an important physiological signal for diagnosing HVDs. This paper proposed a model based on combination of basic component features and envelope autocorrelation features to detect early HVDs. Initially, heart sound signals lasting 5 minutes were denoised by empirical mode decomposition (EMD) algorithm and segmented. Then the basic component features and envelope autocorrelation features of heart sound segments were extracted to construct heart sound feature set. Then the max-relevance and min-redundancy (MRMR) algorithm was utilized to select the optimal mixed feature subset. Finally, decision tree, support vector machine (SVM) and k-nearest neighbor (KNN) classifiers were trained to detect the early HVDs from the normal heart sounds and obtained the best accuracy of 99.9% in clinical database. Normal valve, abnormal semilunar valve and abnormal atrioventricular valve heart sounds were classified and the best accuracy was 99.8%. Moreover, normal valve, single-valve abnormal and multi-valve abnormal heart sounds were classified and the best accuracy was 98.2%. In public database, this method also obtained the good overall accuracy. The result demonstrated this proposed method had important value for the clinical diagnosis of early HVDs.
Humans ; Heart Sounds ; Heart Valve Diseases/diagnosis* ; Algorithms ; Support Vector Machine ; Signal Processing, Computer-Assisted

To observe the migration of human amniotic mesenchymal stem cells (hAMSCs) labeled with PKH26 in the endometrium of rats intrauterine adhesion. hAMSCs were isolated, identified and labeled with PKH26 to detect the biological characteristics of the cells. Rat intrauterine adhesion models were established using mechanical and infective method and PKH26-labeled hAMSCs were transplanted through the tail vein. The distribution of PKH26 labeled hAMSCs in the endometrium of rats were observed with the fluorescence confocal microscope. The results showed that PKH26 stain had no significant effect on cell activity, cycle, apoptosis and so on. PKH26-labeled positive cells were mainly distributed in injured endometrium of rats. It shows that the PKH26 labeling technique is a safe and effective method for tracing the human amniotic mesenchymal stem cells in the treatment of intrauterine adhesions.

Aging associated cognitive decline has been linked to dampened neural stem/progenitor cells (NSC/NPCs) activities manifested by decreased proliferation, reduced propensity to produce neurons, and increased differentiation into astrocytes. While gene transcription changes objectively reveal molecular alterations of cells undergoing various biological processes, the search for molecular mechanisms underlying aging of NSC/NPCs has been confronted by the enormous heterogeneity in cellular compositions of the brain and the complex cellular microenvironment where NSC/NPCs reside. Moreover, brain NSC/NPCs themselves are not a homogenous population, making it even more difficult to uncover NSC/NPC sub-type specific aging mechanisms. Here, using both population-based and single cell transcriptome analyses of young and aged mouse forebrain ependymal and subependymal regions and comprehensive "big-data" processing, we report that NSC/NPCs reside in a rather inflammatory environment in aged brain, which likely contributes to the differentiation bias towards astrocytes versus neurons. Moreover, single cell transcriptome analyses revealed that different aged NSC/NPC subpopulations, while all have reduced cell proliferation, use different gene transcription programs to regulate age-dependent decline in cell cycle. Interestingly, changes in cell proliferation capacity are not influenced by inflammatory cytokines, but likely result from cell intrinsic mechanisms. The Erk/Mapk pathway appears to be critically involved in regulating age-dependent changes in the capacity for NSC/NPCs to undergo clonal expansion. Together this study is the first example of using population and single cell based transcriptome analyses to unveil the molecular interplay between different NSC/NPCs and their microenvironment in the context of the aging brain.
Aging ; genetics ; Animals ; Astrocytes ; cytology ; metabolism ; Brain ; cytology ; metabolism ; Cell Differentiation ; genetics ; Cell Division ; genetics ; Cell Proliferation ; genetics ; Gene Expression Regulation ; genetics ; Mice ; Neural Stem Cells ; metabolism ; Single-Cell Analysis ; Stem Cells ; cytology ; metabolism ; Transcriptome ; genetics

The mammalian brain is heterogeneous, containing billions of neurons and trillions of synapses forming various neural circuitries, through which sense, movement, thought, and emotion arise. The cellular heterogeneity of the brain has made it difficult to study the molecular logic of neural circuitry wiring, pruning, activation, and plasticity, until recently, transcriptome analyses with single cell resolution makes decoding of gene regulatory networks underlying aforementioned circuitry properties possible. Here we report success in performing both electrophysiological and whole-genome transcriptome analyses on single human neurons in culture. Using Weighted Gene Coexpression Network Analyses (WGCNA), we identified gene clusters highly correlated with neuronal maturation judged by electrophysiological characteristics. A tight link between neuronal maturation and genes involved in ubiquitination and mitochondrial function was revealed. Moreover, we identified a list of candidate genes, which could potentially serve as biomarkers for neuronal maturation. Coupled electrophysiological recording and single cell transcriptome analysis will serve as powerful tools in the future to unveil molecular logics for neural circuitry functions.
Antigens, Differentiation ; biosynthesis ; Electrophysiological Phenomena ; physiology ; Gene Expression Regulation ; physiology ; Genome-Wide Association Study ; Human Embryonic Stem Cells ; cytology ; metabolism ; Humans ; Induced Pluripotent Stem Cells ; cytology ; metabolism ; Multigene Family ; physiology ; Neurons ; cytology ; metabolism ; Transcriptome ; physiology

The mammalian central nervous system (CNS) is considered an immune privileged system as it is separated from the periphery by the blood brain barrier (BBB). Yet, immune functions have been postulated to heavily influence the functional state of the CNS, especially after injury or during neurodegeneration. There is controversy regarding whether adaptive immune responses are beneficial or detrimental to CNS injury repair. In this study, we utilized immunocompromised SCID mice and subjected them to spinal cord injury (SCI). We analyzed motor function, electrophysiology, histochemistry, and performed unbiased RNA-sequencing. SCID mice displayed improved CNS functional recovery compared to WT mice after SCI. Weighted gene-coexpression network analysis (WGCNA) of spinal cord transcriptomes revealed that SCID mice had reduced expression of immune function-related genes and heightened expression of neural transmission-related genes after SCI, which was confirmed by immunohistochemical analysis and was consistent with better functional recovery. Transcriptomic analyses also indicated heightened expression of neurotransmission-related genes before injury in SCID mice, suggesting that a steady state of immune-deficiency potentially led to CNS hyper-connectivity. Consequently, SCID mice without injury demonstrated worse performance in Morris water maze test. Taken together, not only reduced inflammation after injury but also dampened steady-state immune function without injury heightened the neurotransmission program, resulting in better or worse behavioral outcomes respectively. This study revealed the intricate relationship between immune and nervous systems, raising the possibility for therapeutic manipulation of neural function via immune modulation.