Thromboembolism Induced by Umbilical Cord Mesenchymal Stem Cell Infusion: A Report of Two Cases and Literature Review

OBJECTIVE

To investigate the thromboembolism induced by blood-mediated inflammatory reactions against infused cells during the clinical application of stem cells.

METHODS

Two patients with renal transplantation and chronic kidney disease, respectively, experienced thromboembolism after umbilical cord mesenchymal stem cell (UCMSC) infusion. The clinical manifestations and the laboratory test results were collected and analyzed.

RESULTS

The patients received stem cell infusion through the peripheral veins and presented with a swollen and painful forearm postinfusion. Doppler ultrasound showed venous clots at the proximal end of the puncture site. Urokinase and warfarin were used for thrombolytic therapy. The swelling and pain were relieved and cured.

CONCLUSION

Safety concerns are still a primary hurdle for stem cell therapy, and thromboembolism as a critical complication should be prevented appropriately.

General memristor with applications in multilayer neural networks

Memristor describes the relationship between charge and flux. Although several window functions for memristors based on the HP linear and nonlinear dopant drift models have been studied, most of them are inadequate to capture the full characteristics of memristors. To address this issue, this paper proposes a unified window function to describe a general memristor with restrictions of its parameters given. Compared with other window functions, the proposed function demonstrates high validity and accuracy. In order to make the simulation results have high consistency with the results of actual circuit, we apply the new window function to the simulation of a memristor-based multilayer neural network (MNN) circuit. The overall accuracy will vary with the change of control parameters in the window function. It implies that the proposed model can guide the design of actual memristor-based circuits.

An observational analysis of insulinoma from a single institution

BACKGROUND

Insulinoma is the commonest functioning pancreatic neuroendocrine tumor causing hyperinsulinemic hypoglycemia.

AIM

This study is aimed to evaluate the clinical features, preoperative laboratory and imaging diagnosis and pathologic findings of insulinoma.

METHODS

Data of the patients from 2001 to 2016 diagnosed as insulinoma in Tongji Hospital, China were retrospectively extracted and analyzed.

RESULTS

A total of 40 patients were diagnosed as insulinoma with a male/female ratio of 0.68:1. The median onset age was 46.5 years. Nearly all the included patients presented neurological symptoms and 60% presented autonomic symptoms. More than 95% of the patients met the functional European Neuroendocrine Tumor Society criteria including glucose, insulin and C-peptide levels. The preoperative detection rates of ultrasonography, enhanced computed tomography, magnetic resonance imaging, and endoscopic ultrasonography were 60.50%, 84.95%, 80% and 83.3% respectively. The joint imaging examinations can markedly increase the detection rate. The mean tumor size was 1.89 ± 0.72 cm. Ki-67 index by histopathological diagnosis were all less than 20%. The positive rates of insulin, synaptophysin and chromogranin A were close to 100%.

CONCLUSION

Laboratory tests of glucose, insulin and C-peptide are reliable for preoperative diagnosis. Combination of the imaging examinations can improve the diagnosis.

Precision Measurement of the e^{+}e^{-}→Λ_{c}^{+}Λ[over ¯]_{c}^{-} Cross Section Near Threshold

The cross section of the e^{+}e^{-}→Λ_{c}^{+}Λ[over ¯]_{c}^{-} process is measured with unprecedented precision using data collected with the BESIII detector at sqrt[s]=4574.5, 4580.0, 4590.0 and 4599.5 MeV. The nonzero cross section near the Λ_{c}^{+}Λ[over ¯]_{c}^{-} production threshold is cleared. At center-of-mass energies sqrt[s]=4574.5 and 4599.5 MeV, the higher statistics data enable us to measure the Λ_{c} polar angle distributions. From these, the Λ_{c} electric over magnetic form-factor ratios (|G_{E}/G_{M}|) are measured for the first time. They are found to be 1.14±0.14±0.07 and 1.23±0.05±0.03, respectively, where the first uncertainties are statistical and the second are systematic.

O(t-α)-synchronization and Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations

This paper investigates O(t^-α)-synchronization and adaptive Mittag-Leffler synchronization for the fractional-order memristive neural networks with delays and discontinuous neuron activations. Firstly, based on the framework of Filippov solution and differential inclusion theory, using a Razumikhin-type method, some sufficient conditions ensuring the global O(t^-α)-synchronization of considered networks are established via a linear-type discontinuous control. Next, a new fractional differential inequality is established and two new discontinuous adaptive controller is designed to achieve Mittag-Leffler synchronization between the drive system and the response systems using this inequality. Finally, two numerical simulations are given to show the effectiveness of the theoretical results. Our approach and theoretical results have a leading significance in the design of synchronized fractional-order memristive neural networks circuits involving discontinuous activations and time-varying delays.

A SUVmax-based propensity matched analysis of stereotactic body radiotherapy versus surgery in stage I non-small cell lung cancer: unveiling the role of 18F-FDG PET/CT in clinical decision-making

BACKGROUND

The value of maximum standard uptake value (SUV_max) was overlooked in current studies comparing stereotactic body radiotherapy (SBRT) versus surgery for stage I non-small cell lung cancer (NSCLC). Herein, we aimed to compare the 3-year outcomes based on patients for whom SUV_max were available, and to explore the role of SUV_max in clinical decision-making.

METHODS

From January 2010 to June 2016, data of eligible patients were collected. Patient variables and clinical outcomes were compared in both unmatched and matched groups using propensity score matching (PSM). Multivariate analysis was performed for predictors of poor outcome. The relationship between treatment approach and survival outcome was also evaluated in subgroup patients stratified by SUV_max level.

RESULTS

A total of 425 patients treated with either surgery (325) or SBRT (100) were included. Patients receiving SBRT were significantly older, had a higher level of SUV_max and were more likely to have tumor of centrally located. Multivariate analysis showed that SUV_max and tumor size were significant predictors for 3-year OS, LRC, and PFS, while better PFS was also related to peripheral tumor and surgery. The result of PSM analysis also showed that compared to SBRT, surgery could only achieve better PFS. Subgroup analysis indicated that surgery had added advantage of 3-year LRC and PFS for patients in high SUV_max group (SUV_max > 8), but not in low SUV_max group.

CONCLUSIONS

The study found a superior PFS after surgery while OS and LRC did not differ between SBRT and surgery. Surgery should be recommended for tumor of high SUV_max.

Novel biomolecular information in rotenone-induced cellular model of Parkinson's disease

In order to uncover the remarkable pathogenic genes or molecular pathological process in Parkinson's disease (PD), we employed a microarray analysis upon the cellular PD model induced by rotenone. Compared to the control group, 2174 genes were screened out to be expressed differently in the rotenone-induced group by certain criterion. GO analysis and the pathways analysis showed the significant enrichment of genes that were associated with the biological process of cell cycle, apoptotic process, organelle fusion, mitochondrial lesion, endoplasmic reticulum stress and so on. Among these significant DE genes, some were sorted out to be involved in cell cycle and protein processing in endoplasmic reticulum. As the PPI network analysis showed, the interaction relationship of the DEGs involved in the process of protein generation in endoplasmic reticulum(ER) was clearly showed up. As a prediction, we emphasized the genes EDEM1, ATF4, TRAF2 might play central roles in the protein misfolding process during the progression of Parkinson's disease and these new-found genes might be the future research focus and therapeutic targets in PD.

Lower 25-Hydroxyvitamin D Is Associated with Higher Relapse Risk in Patients with Relapsing-Remitting Multiple Sclerosis

OBJECTIVES

To investigate the association between serum circulating 25-hydroxyvitamin D [25(OH) D] concentrations and exacerbation risk in Chinese patients with relapsing-remitting multiple sclerosis (RR-MS).

METHODS

From January 2014 to December 2014, consecutive RR-MS patients admitted to the Department of Neurology of our hospital were identified. Blood samples for 25(OH) D measurements were taken at admission. All included patients visited the outpatient clinic of our hospital 1 year after admission. The influence of serum 25[OH] D levels on exacerbation was performed by binary logistic regression analysis.

RESULTS

In this study, 109 patients finished the follow-up. Median follow-up time was 1 year (range 1.0-1.1). Twenty-one out of the 109 was at risk period for infection. A total of 32 patients experienced a total of 76 exacerbations during the study. In the follow-up, a total of 32 patients experienced exacerbations. Thus, the exacerbation rate was 29.4% (95%CI: 20.8%-37.9%). Exacerbation rates were found to decrease with increasing levels of serum 25-OH-D concentrations. For the quartiles category, the risk of an exacerbation was significantly increased in the group with first quartile compared to the group with fourth. Rate ratios for the first, second and third group were 4.2, 3.3 and 2.0, respectively (p for trend =0.011) when compared with the fourth group. Simultaneous evaluation of quartile categories of levels of serum 25(OH) D and infections showed that both factors were related to the exacerbation rate.

CONCLUSION

The data demonstrates that lower vitamin D status is a sign of more active disease in patients with RR-MS and suggests a beneficial effect of vitamin D on disease course in MS.

Formation of n–n type heterojunction-based tin organic–inorganic hybrid perovskite composites and their functions in the photocatalytic field

n–n type heterojunction MASnI₃/TiO₂ composites before and after calcination form different ohmic contact interfaces and follow different mechanisms.

Changes in inflammatory and oxidative stress factors and the protein synthesis pathway in injured skeletal muscle after contusion

Injury of skeletal muscle, and particularly mechanically-induced damage, including contusion injury, frequently occurs in contact sports as well as in sports with accidental contact. Although the mechanisms of skeletal muscle regeneration are well understood, those involved in muscle contusion are not. A total of 40 male mice were randomly divided into control (n=8) and muscle contusion (n=32) groups. A muscle contusion model was established by weight-drop injury. Subsequently, the gastrocnemius muscles in the two groups were harvested at different times (1, 3, 7 and 14 days) post-injury. The changes in skeletal muscle morphology were assessed by hematoxylin and eosin (H&E) stains. Furthermore, quantitative polymerase chain reaction and western blotting were used to analyze inflammatory cytokines, oxidative stress factors and the Akt/mechanistic target of rapamycin (mTOR) pathway. The results revealed that pro-inflammatory cytokines [tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) and interferon-γ (IFN-γ)] increased significantly at day 1 and 3 and still exhibited high levels of expression at days 7 and 14 (except IL-6) post-injury. Additionally, the anti-inflammatory cytokine IL-10 increased significantly at 1, 3 and 7 days and reached its peak levels at 7 days post-injury. It was revealed that gp91phox mRNA increased significantly at all time points and gp91phox protein increased significantly at day 3 post-injury. Furthermore, it was observed that p-Akt/Akt increased significantly at 1 day post-injury. P-mTOR/mTOR increased significantly at day 1 and 7, and p-p70s6k/p70s6k and P-4EBP1/4EBP1 increased significantly at 1, 3, 7 and 14 days post-injury. These results indicate that inflammatory and oxidative stress factors and the Akt/mTOR pathway may serve important roles in the regeneration of muscle contusion. In addition, certain inflammatory factors and oxidative stress factors maintained high levels of expression at 14 days after injury, indicating that the healing process of muscle was still not fully achieved at this time.

Microarray analysis of an synthetic α-synuclein induced cellular model reveals the expression profile of long non-coding RNA in Parkinson's disease

Long non-coding RNAs (lncRNAs) are a new research focus that are reported to influence the pathogenetic process of neurodegenerative disorders. To uncover new disease-associated genes and their relevant mechanisms, we carried out a gene microarray analysis based on a Parkinson's disease (PD) in vitro model induced by α-synuclein oligomers. This cellular model induced by 25 μmol/L α-synuclein oligomers has been confirmed to show the stable, transmissible neurotoxicity of α-synuclein, a typical PD pathological marker. And several differentially expressed lncRNAs and mRNAs were identified in this model, such as G046036, G030771, AC009365.4, RPS14P3, CTB-11I22.1, and G007549. Subsequent ceRNA analysis determined the potential relationships between these lncRNAs and their associated mRNAs and microRNAs. The results of the present study widen our horizon of PD susceptibility genes and provide new pathways towards efficient diagnostic biomarkers and therapeutic targets for PD.

Multistability and instability analysis of recurrent neural networks with time-varying delays

This paper provides new theoretical results on the multistability and instability analysis of recurrent neural networks with time-varying delays. It is shown that such n-neuronal recurrent neural networks have exactly [Formula: see text] equilibria, [Formula: see text] of which are locally exponentially stable and the others are unstable, where k₀ is a nonnegative integer such that k₀≤n. By using the combination method of two different divisions, recurrent neural networks can possess more dynamic properties. This method improves and extends the existing results in the literature. Finally, one numerical example is provided to show the superiority and effectiveness of the presented results.

Scale-Limited Lagrange Stability and Finite-Time Synchronization for Memristive Recurrent Neural Networks on Time Scales

The existed results of Lagrange stability and finite-time synchronization for memristive recurrent neural networks (MRNNs) are scale-free on time evolvement, and some restrictions appear naturally. In this paper, two novel scale-limited comparison principles are established by means of inequality techniques and induction principle on time scales. Then the results concerning Lagrange stability and global finite-time synchronization of MRNNs on time scales are obtained. Scaled-limited Lagrange stability criteria are derived, in detail, via nonsmooth analysis and theory of time scales. Moreover, novel criteria for achieving the global finite-time synchronization are acquired. In addition, the derived method can also be used to study global finite-time stabilization. The proposed results extend or improve the existed ones in the literatures. Two numerical examples are chosen to show the effectiveness of the obtained results.

Synchronization of Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions and Infinite Delays

This paper is concerned with synchronization for a class of reaction-diffusion neural networks with Dirichlet boundary conditions and infinite discrete time-varying delays. By utilizing theories of partial differential equations, Green's formula, inequality techniques, and the concept of comparison, algebraic criteria are presented to guarantee master-slave synchronization of the underlying reaction-diffusion neural networks via a designed controller. Additionally, sufficient conditions on exponential synchronization of reaction-diffusion neural networks with finite time-varying delays are established. The proposed criteria herein enhance and generalize some published ones. Three numerical examples are presented to substantiate the validity and merits of the obtained theoretical results.