Exploring the biological basis of CT imaging features in pancreatic neuroendocrine tumors: a two-center study.

Objective.Medical imaging offered a non-invasive window to visualize tumors, with radiomics transforming these images into quantitative data for tumor phenotyping. However, the intricate web linking imaging features, clinical endpoints, and tumor biology was mostly uncharted. This study aimed to unravel the connections between CT imaging features and clinical characteristics, including tumor histopathological grading, clinical stage, and endocrine symptoms, alongside immunohistochemical markers of tumor cell growth, such as the Ki-67 index and nuclear mitosis rate.Approach.We conducted a retrospective analysis of data from 137 patients with pancreatic neuroendocrine tumors who had undergone contrast-enhanced CT scans across two institutions. Our study focused on three clinical factors: pathological grade, clinical stage, and endocrine symptom status, in addition to two immunohistochemical markers: the Ki-67 index and the rate of nuclear mitosis. We computed both predefined (2D and 3D) and learning-based features (via sparse autoencoder, or SAE) from the scans. To unearth the relationships between imaging features, clinical factors, and immunohistochemical markers, we employed the Spearman rank correlation along with the Benjamini-Hochberg method. Furthermore, we developed and validated radiomics signatures to foresee these clinical factors.Main results.The 3D imaging features showed the strongest relationships with clinical factors and immunohistochemical markers. For the association with pathological grade, the mean absolute value of the correlation coefficient (CC) of 2D, SAE, and 3D features was 0.3318 ± 0.1196, 0.2149 ± 0.0361, and 0.4189 ± 0.0882, respectively. While for the association with Ki-67 index and rate of nuclear mitosis, the 3D features also showed higher correlations, with CC as 0.4053 ± 0.0786 and 0.4061 ± 0.0806. In addition, the 3D feature-based signatures showed optimal performance in clinical factor prediction.Significance.We found relationships between imaging features, clinical factors, and immunohistochemical markers. The 3D features showed higher relationships with clinical factors and immunohistochemical markers.

Endovascular thrombectomy in wake-up stroke guided by arterial spin-labeling and fluid-attenuated inversion recovery versus diffusion-weighted imaging mismatch on MRI.

OBJECTIVE: This purpose of this study is to investigate the effectiveness and safety of utilizing the arterial spin-labeling (ASL) combined with diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) combined with DWI double mismatch in the endovascular treatment of patients diagnosed with wake-up stroke (WUS). METHODS: In this single-center trial, patients diagnosed with WUS underwent thrombectomy if acute ischemic lesions were observed on DWI indicating large precerebral circulation occlusion. Patients with no significant parenchymal hypersignal on FLAIR and ASL imaging showing a hypoperfusion tissue to infarct core volume ratio of at least 1.2 were included. The participants were divided into groups receiving endovascular thrombectomy plus medical therapy or medical therapy alone, based on their subjective preference. Functional outcomes were assessed using the ordinal score on the modified Rankin scale (mRs) at 90 days, along with the rate of functional independence. RESULTS: In this study, a total of 77 patients were included, comprising 38 patients in the endovascular therapy group and 39 patients in the medical therapy group. The endovascular therapy group exhibited more favorable changes in the distribution of functional prognosis measured by mRs at 90 days, compared to the medical therapy group (adjusted common odds ratio, 3.25; 95% CI, 1.03 to 10.26; P < 0.01). Additionally, the endovascular therapy group had a higher proportion of patients achieving functional independence (odds ratio, 4.0; 95% CI, 1.36 to 11.81; P < 0.01). Importantly, there were no significant differences observed in the incidence of intracranial hemorrhage or mortality rates between the two groups. CONCLUSION: Guided by the ASL-DWI and FLAIR-DWI double mismatch, endovascular thrombectomy combined with standard medical treatment appears to yield superior functional outcomes in patients with WUS and large vessel occlusion compared to standard medical treatment alone.

PNMC: Four-dimensional conebeam CT reconstruction combining prior network and motion compensation.

Four-dimensional conebeam computed tomography (4D CBCT) is an efficient technique to overcome motion artifacts caused by organ motion during breathing. 4D CBCT reconstruction in a single scan usually divides projections into different groups of sparsely sampled data based on the respiratory phases. The reconstructed images within each group present poor image quality due to the limited number of projections. To improve the image quality of 4D CBCT in a single scan, we propose a novel reconstruction scheme that combines prior knowledge with motion compensation. We apply the reconstructed images of the full projections within a single routine as prior knowledge, providing structural information for the network to enhance the restoration structure. The prior network (PN-Net) is proposed to extract features of prior knowledge and fuse them with the sparsely sampled data using an attention mechanism. The prior knowledge guides the reconstruction process to restore the approximate organ structure and alleviates severe streaking artifacts. The deformation vector field (DVF) extracted using deformable image registration among different phases is then applied in the motion-compensated ordered-subset simultaneous algebraic reconstruction algorithm to generate 4D CBCT images. Proposed method has been evaluated using simulated and clinical datasets and has shown promising results by comparative experiment. Compared with previous methods, our approach exhibits significant improvements across various evaluation metrics.

UBES: Unified scatter correction using ultrafast Boltzmann equation solver for conebeam CT.

A semi-analytical solution to the unified Boltzmann equation is constructed to exactly describe the scatter distribution on a flat-panel detector for high-quality conebeam CT (CBCT) imaging. The solver consists of three parts, including the phase space distribution estimator, the effective source constructor and the detector signal extractor. Instead of the tedious Monte Carlo solution, the derived Boltzmann equation solver achieves ultrafast computational capability for scatter signal estimation by combining direct analytical derivation and time-efficient one-dimensional numerical integration over the trajectory along each momentum of the photon phase space distribution. The execution of scatter estimation using the proposed ultrafast Boltzmann equation solver (UBES) for a single projection is finalized in around 0.4 seconds. We compare the performance of the proposed method with the state-of-the-art schemes, including a time-expensive Monte Carlo (MC) method and a conventional kernel-based algorithm using the same dataset, which is acquired from the CBCT scans of a head phantom and an abdominal patient. The evaluation results demonstrate that the proposed UBES method achieves comparable correction accuracy compared with the MC method, while exhibits significant improvements in image quality over learning and kernel-based methods. With the advantages of MC equivalent quality and superfast computational efficiency, the UBES method has the potential to become a standard solution to scatter correction in high-quality CBCT reconstruction.

Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study.

This study aims to explore the feasibility of utilizing a combination of original and delta cone-beam CT (CBCT) radiomics for predicting treatment response in liver tumors undergoing stereotactic body radiation therapy (SBRT). A total of 49 patients are included in this study, with 36 receiving 5-fraction SBRT, 3 receiving 4-fraction SBRT, and 10 receiving 3-fraction SBRT. The CBCT and planning CT images from liver cancer patients who underwent SBRT are collected to extract overall 547 radiomics features. The CBCT features which are reproducible and interchangeable with pCT are selected for modeling analysis. The delta features between fractions are calculated to depict tumor change. The patients with 4-fraction SBRT are only used for screening robust features. In patients receiving 5-fraction SBRT, the predictive ability of both original and delta CBCT features for two-level treatment response (local efficacy vs. local non-efficacy; complete response (CR) vs. partial response (PR)) is assessed by utilizing multivariable logistic regression with leave-one-out cross-validation. Additionally, univariate analysis is conducted to validate the capability of CBCT features in identifying local efficacy in patients receiving 3-fraction SBRT. In patients receiving 5-fraction SBRT, the combined models incorporating original and delta CBCT radiomics features demonstrate higher area under the curve (AUC) values compared to models using either original or delta features alone for both classification tasks. The AUC values for predicting local efficacy vs. local non-efficacy are 0.58 for original features, 0.82 for delta features, and 0.90 for combined features. For distinguishing PR from CR, the respective AUC values for original, delta and combined features are 0.79, 0.80, and 0.89. In patients receiving 3-fraction SBRT, eight valuable CBCT radiomics features are identified for predicting local efficacy. The combination of original and delta radiomics derived from fractionated CBCT images in liver cancer patients undergoing SBRT shows promise in providing comprehensive information for predicting treatment response.

miR-218-5p and miR-320a-5p as Biomarkers for Brain Disorders: Focus on the Major Depressive Disorder and Parkinson's Disease.

Depression is one of the early and most persistent non-motor symptoms of Parkinson's disease (PD), which remains ignored, resulting in the underdiagnosis of PD. Unfortunately, scarce studies and the non-availability of diagnostic strategies cause countless complications, highlighting the need for appropriate diagnostic biomarkers. Recently, brain-enriched miRNAs regulating vital neurological functions have been proposed as potent biomarkers for therapeutic strategies. Therefore, the present study is aimed to identify the brain-enriched miR-218-5p and miR-320-5p in the serum of the Chinese depressed PD patients (n = 51) than healthy controls (n = 51) to identify their potency as biomarkers. For this purpose, depressive PD patients were recruited based on HAMA and HAMD scores and miR-218-5p and miR-320-5p and IL-6, and S100B levels were analyzed using real-time PCR (qRT-PCR) and ELISA assay, respectively. In silico analysis was performed to identify key biological pathways and hub genes involved in the psychopathology of depression in PD. Here, we found significantly downregulated miR-218-5p and miR-320-5p following higher levels of IL-6 and S100B in depressed PD patients than in control (p < 0.05). The correlation analysis revealed that both miRNAs were negatively correlated with HAMA and HAMD, and IL-6 scores, along with a positive correlation with PD duration and LEDD medication. ROC analysis showed AUC above 75% in both miRNAs in depressed PD patients, and in silico analysis revealed that both miRNA's targets regulate key neurological pathways such as axon guidance, dopaminergic synapse, and circadian rhythm. Additional analysis revealed PIK3R1, ATRX, BM1, PCDHA10, XRCC5, PPP1CB, MLLT3, CBL, PCDHA4, PLCG1, YWHAZ, CDH2, AGO3, PCDHA3, and PCDHA11 as hub-genes in PPI network. In summary, our findings show that miR-218-5p and miR-320-5p can be utilized as future biomarkers for depression in PD patients, which may aid in the early diagnosis and treatment of Parkinson's disease.

Intravenous Thrombolysis or Medical Management for Minor Strokes.

OBJECTIVE: To evaluate the outcomes of acute ischemic stroke patients with minor deficits treated with either intravenous thrombolysis (IVT) or routine medical management (MM). METHODS: The study included patients with acute ischemic stroke and National Institutes of Health Stroke Scale (NIHSS) scores of 5 or less who were treated with IVT within 4.5 hours from symptom onset and were classified as the IVT group. The MM group consisted of an equal number of patients with minor strokes, matched for sex, age, and severity, who did not receive thrombolysis. Data on patient information were collected for both groups. RESULTS: A total of 26,236 patients were included in this study (13,208 in IVT and 13,208 in MM). Of these patients, 67.9% were men, and the mean age was 67.1 years (standard deviation: 10.9). At 3 months, the IVT group had a higher rate of stroke-independent outcome (Rankin Scale score of 0-2) compared with the MM group (IVT vs. MM: 91.6 vs. 88.6%, absolute difference: 2.5%, 95% confidence interval [CI]: 1.6-3.4%, p = 0.008; adjusted hazard ratio [HR]: 1.2, 95% CI: 1.1-1.4, p = 0.003). Furthermore, there was no significant difference in 3-month mortality rates between the IVT and MM groups (IVT vs. MM: 2.1 vs. 2.5%, absolute difference: -0.6%, 95% CI: -1.1 to 0.3%, p = 0.11; adjusted HR: 0.9, 95% CI: 0.8-1.2, p = 0.09). CONCLUSION: Compared with MM, IVT does not reduce mortality in minor ischemic stroke but improves functional outcomes in minor stroke with an NIHSS score of 3 to 5.

Risk factors for early neurologic deterioration in single small subcortical infarction without carrier artery stenosis: predictors at the early stage.

OBJECTIVES: This study aimed to assess the epidemiological features and explore the potential risk factors for early neurological deterioration (END) in patients with acute single small subcortical infarction (SSSI) who underwent antiplatelet therapy without carotid artery stenosis. MATERIALS & METHODS: Patients with SSSI, as confirmed by cranial magnetic resonance imaging (MRI), who were hospitalized within 48 h after the onset of symptoms were enrolled. END was mainly defined as increment in the National Institutes of Health Stroke Scale (NIHSS) score of ≥ 2 points or any new neurological deficit. Poor functional outcome was defined as modified Rankin Scale (mRS) score of > 2 points at 3-month after the onset. The association of END with multiple indicators was assessed at the early stage of admission using multivariate logistic regression analysis, and adjusted odds ratios (aORs) were calculated. RESULTS: A total of 280 patients were enrolled from June 2020 to May 2021, of whom, END occurred in 44 (15.7%) patients (median age, 64 years; 70.5% male), while END occurred during sleep in 28 (63.6%) patients. History of hypertension (aOR: 4.82, p = 0.001), infarction in internal capsule (aOR: 3.35, p = 0.001), and elevated level of low-density lipoprotein cholesterol (LDL-C; aOR: 0.036, p = 0.0016) were significantly associated with the risk of END. Patients with END (aOR: 5.74, p = 0.002), history of diabetes (aOR: 2.61, p = 0.020), and higher NIHSS scores at discharge (per 1-score increase, aOR: 1.29, p = 0.026) were associated with the poor functional outcome at 3-month after the onset. CONCLUSION: Patients with a history of hypertension, infarction in internal capsule or a higher level of LDL-C were found to be at a higher risk of END.

Impact of the COVID-19 pandemic lockdown on hospitalizations for cerebrovascular disease and related in-hospital mortality in China: A nationwide observational study.

BACKGROUND AND PURPOSE: The aim of this nationwide study was to assess the impact of the COVID-19 pandemic on cerebrovascular disease hospitalization rates, out-of-pocket rates, and in-hospital case fatality rates. METHODS: All hospitalizations for cerebrovascular disease from 1599 hospitals from 2019 to 2020 were selected using the International Classification of Diseases, 10th revision, in the Hospital Quality Monitoring System (HQMS). We defined 2019 as the pre-pandemic group and 2020 as the post-pandemic group. Multivariate analyses were done to assess the association between the pandemic and patient outcomes and out-of-pocket rate with odds ratios (OR) and 95% CIs presented. RESULTS: In total, 9 640 788 patients with the cerebrovascular disease were recruited (mean age was 65.7[SE.0.004] years, and 55.7% were male), and data is available for 5145358 patients in 2019 (pre-epidemic) and 4495430 patients in 2020(post-pandemic), indicating a 12.6% decrease. Out-of-pocket rate increase of 9.3% (2020 vs 2019: 34.1%% vs 31.2% [absolute difference, 2.9% {95% CI, 1.3% to 4.5%}, odd ratio {OR}, 1.1{95% CI, 1.0 to 1.1}]. The epidemic has led to an 18.0% increase in in-hospital mortality (2020 vs 2019: 1.1%% vs 0.9% [absolute difference, 0.2% {95% CI, 0.1% to 0.2%}, odd ratio {OR}, 1.1{95% CI, 1.1 to 1.2}]. The epidemic has led to significantly increased in-hospital mortality for patients with stroke but had no significant impact on other cerebrovascular diseases. CONCLUSIONS: During the COVID-19 pandemic lockdown, patients hospitalized for stroke fell by 12.6%, and there were substantial increases in out-of-pocket rates (9.3%) and in-hospital case fatality rates (18.0%).

Endovascular thrombectomy or bridging therapy in minor ischemic stroke with large vessel occlusion.

BACKGROUND: Whether direct endovascular thrombectomy (EVT) is non-inferior to bridging therapy (intravenous thrombolysis [IVT] followed by EVT) in minor acute ischemic stroke due to large vessel occlusions (AIS-LVO) is not clear. Therefore, this study aimed to assess whether direct EVT is non-inferior to bridging therapy in minor AIS-LVO. METHODS: 903 patients with acute ischemic stroke due to large vessel occlusion and National Institutes of Health Stroke Scale (NIHSS) score <6 receiving EVT treatment were enrolled at Bigdata Observatory Platform for Stroke of China in China from January 1, 2019, to December 31, 2020, with final follow-up on March 31, 2021. The primary efficacy endpoint was a favorable outcome defined as a modified Rankin Scale score of 0 to 2 at three months. In addition, there were three prespecified secondary efficacy endpoints, including symptomatic intracerebral hemorrhage (ICH), in-hospital mortality, and mortality by month 3. RESULTS: A total of 662 patients treated with direct EVT (age 65.9 ± 10.5 years, 71.5 % male, NIHSS score 2.4 [standard deviation {SD}. 1.8]) were compared to 241 bridging-treated patients (age 65.7 ± 10.8, 75.9 % female, NIHSS score 2.5 [1.8]). The rate of symptomatic ICH in the EVT group was lower than in the bridging group (4.2 % vs. 8.3 %; P = 0.02). The in-hospital mortality was not different between the two groups (EVT vs. bridging group: adjusted hazard ratio {HR}, 0.9 [95 % confidence interval {CI}, 0.5 to 1.9]; P = 0.93). There was no significant difference in 3-month poor functional outcome rate (EVT vs. bridging group: 17.1 % vs. 16.2 % [absolute difference, 0.9 % {95 % CI, -0.8 % to 2.4 %}, P = 0.75; adjusted hazard ratio {HR}, 1.0 {95 % CI, 0.6 to 1.7}, P = 0.83]) and mortality rate (13.0 % vs. 11.2 % [absolute difference, 1.5 % {95 % CI, -3.9 % to 6.8 %}, P = 0.47; adjusted HR, 1.1 {95 % CI, 0.8 to 1.9}, P = 0.55]) between those two groups. CONCLUSION: Among patients with minor AIS-LVO, direct EVT, compared with bridging therapy, met the prespecified statistical threshold for noninferiority for the 3-month prognosis.

Multi-view learning for lymph node metastasis prediction using tumor and nodal radiomics in gastric cancer.

Purpose.This study aims to develop and validate a multi-view learning method by the combination of primary tumor radiomics and lymph node (LN) radiomics for the preoperative prediction of LN status in gastric cancer (GC).Methods.A total of 170 contrast-enhanced abdominal CT images from GC patients were enrolled in this retrospective study. After data preprocessing, two-step feature selection approach including Pearson correlation analysis and supervised feature selection method based on test-time budget (FSBudget) was performed to remove redundance of tumor and LN radiomics features respectively. Two types of discriminative features were then learned by an unsupervised multi-view partial least squares (UMvPLS) for a latent common space on which a logistic regression classifier is trained. Five repeated random hold-out experiments were employed.Results.On 20-dimensional latent common space, area under receiver operating characteristic curve (AUC), precision, accuracy, recall and F1-score are 0.9531 ± 0.0183, 0.9260 ± 0.0184, 0.9136 ± 0.0174, 0.9468 ± 0.0106 and 0.9362 ± 0.0125 for the training cohort respectively, and 0.8984 ± 0.0536, 0.8671 ± 0.0489, 0.8500 ± 0.0599, 0.9118 ± 0.0550 and 0.8882 ± 0.0440 for the validation cohort respectively (reported as mean ± standard deviation). It shows a better discrimination capability than single-view methods, our previous method, and eight baseline methods. When the dimension was reduced to 2, the model not only has effective prediction performance, but also is convenient for data visualization.Conclusions.Our proposed method by integrating radiomics features of primary tumor and LN can be helpful in predicting lymph node metastasis in patients of GC. It shows multi-view learning has great potential for guiding the prognosis and treatment decision-making in GC.

Early changes to the extracellular space in the hippocampus under simulated microgravity conditions.

The smooth transportation of substances through the brain extracellular space (ECS) is crucial to maintaining brain function; however, the way this occurs under simulated microgravity remains unclear. In this study, tracer-based magnetic resonance imaging (MRI) and DECS-mapping techniques were used to image the drainage of brain interstitial fluid (ISF) from the ECS of the hippocampus in a tail-suspended hindlimb-unloading rat model at day 3 (HU-3) and 7 (HU-7). The results indicated that drainage of the ISF was accelerated in the HU-3 group but slowed markedly in the HU-7 group. The tortuosity of the ECS decreased in the HU-3 group but increased in the HU-7 group, while the volume fraction of the ECS increased in both groups. The diffusion rate within the ECS increased in the HU-3 group and decreased in the HU-7 group. The alterations to ISF drainage and diffusion in the ECS were recoverable in the HU-3 group, but neither parameter was restored in the HU-7 group. Our findings suggest that early changes to the hippocampal ECS and ISF drainage under simulated microgravity can be detected by tracer-based MRI, providing a new perspective for studying microgravity-induced nano-scale structure abnormities and developing neuroprotective approaches involving the brain ECS.

The association between restless leg syndrome and anxiety in Parkinson's disease: a case-control study.

OBJECTIVE: To shed light on the association between restless leg syndrome (RLS) and anxiety in Parkinson's disease (PD) population. METHODS: This was a case-control study including 129 PD participants with and without anxiety who presented to the Aerospace Center Hospital in Beijing, China. Anxiety was evaluated by using the Beck Anxiety Index score. RLS was assessed using the minimal diagnostic criteria of the International Restless Legs Study Group and RLS symptom frequency and treatment. We then examined the relationship between RLS and anxiety by logistic regression models and subgroup as well as interaction analyses. RESULTS: The proportion of RLS in PD with anxiety was significantly higher in the PD without anxiety (p < 0.001). The multivariate logistic regression models indicated that PD participants with RLS had a 5.98-fold higher risk of anxiety in PD than those without RLS (OR, 6.98; 95% CI, 2.77-17.59). Subgroup analyses indicated that PD with RLS tended to be associated with a greater risk of anxiety in all stratified subgroups (adjusted ORs >1). Furthermore, the interaction analyses revealed no interactive role in the association between RLS and anxiety. CONCLUSIONS: The present case-control study suggests that RLS is an independent risk factor for anxiety in PD patients. Early attention and targeted treatment for RLS may be necessary for mood management in PD. Larger prospective cohort studies are wanted to validate these findings.

Pharmacological Modulation of Nrf2/HO-1 Signaling Pathway as a Therapeutic Target of Parkinson's Disease.

Parkinson's disease (PD) is a complex neurodegenerative disorder featuring both motor and nonmotor symptoms associated with a progressive loss of dopaminergic neurons in the substantia nigra pars compacta. Oxidative stress (OS) has been implicated in the pathogenesis of PD. Genetic and environmental factors can produce OS, which has been implicated as a core contributor to the initiation and progression of PD through the degeneration of dopaminergic neurons. The transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) orchestrates activation of multiple protective genes, including heme oxygenase-1 (HO-1), which protects cells from OS. Nrf2 has also been shown to exert anti-inflammatory effects and modulate both mitochondrial function and biogenesis. Recently, a series of studies have reported that different bioactive compounds were shown to be able to activate Nrf2/antioxidant response element (ARE) and can ameliorate PD-associated neurotoxin, both in animal models and in tissue culture. In this review, we briefly overview the sources of OS and the association between OS and the pathogenesis of PD. Then, we provided a concise overview of Nrf2/ARE pathway and delineated the role played by activation of Nrf2/HO-1 in PD. At last, we expand our discussion to the neuroprotective effects of pharmacological modulation of Nrf2/HO-1 by bioactive compounds and the potential application of Nrf2 activators for the treatment of PD. This review suggests that pharmacological modulation of Nrf2/HO-1 signaling pathway by bioactive compounds is a therapeutic target of PD.

Effects of Health Qigong Exercises on Physical Function on Patients with Parkinson's Disease.

PURPOSE: To measure motor function improvements in patients with Parkinson's disease (PD) using Health Qigong exercises. PATIENTS AND METHODS: Fifty-two PD patients (Hoehn and Yahr stages I to IV) were randomly divided into experimental and control groups. Twenty-six PD patients in the experimental group were intervened with routine medicine and fitness Qigong exercise. The other 26 PD patients as the control group were treated only with regular medication. Twelve-week intervention had been conducted for the study, and participants completed the scheduled exercises 4 times per week for 60 minutes each time. Data which included the one-legged blind balance, physical coordination, and gait was collected before, during, and after the intervention. Comparisons were made between the experimental and control groups through the repeated measures analysis of variance. RESULTS: A total of 40 participants (77% response rate) completed the study. There was no significant difference in baseline data. After 12 weeks of Health Qigong therapy, the length of time the one-legged blind balance test had increased (P < 0.01), and the time it took to TUG test was reduced (P < 0.01). Joint range of motion and gait significantly improved. The control group's there were no significant differences in the above variables, except for joint range of motion, which decreased. CONCLUSION: Health Qigong exercises can significantly improve physical functions in patients with PD, especially for the balance ability, gait, joint range of motion in patients with PD. It can reduce their activity risk factor and improve their quality of life.

Anti-α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor encephalitis: A case report.

INTRODUCTION: : Anti-α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) is a subtype of glutamate receptor that mediates most of the fast excitatory neurotransmission in the brain. Anti-AMPAR encephalitis is an autoimmune-mediated neurological disorder, frequently accompanied by the presence of neoplasms, comprising a spectrum of paraneoplastic syndrome. PATIENT CONCERNS: A 56-year-old man was admitted for deterioration in memory and aberrant psychological behaviors, which lasted for at least 20 days. DIAGNOSIS: The patient was diagnosed as anti-AMPAR encephalitis and 4 months later, he was diagnosed with small cell lung cancer. INTERVENTIONS: Once diagnosis for anti-AMPAR encephalitis was confirmed, methylprednisolone was prescribed with initial dose 500 mg/d for 14 days until the patient returned to pre-illness state. Then he was discharged with oral treatment with corticosteroids. Following the diagnosis of small cell lung cancer, he received 5 rounds of chemotherapy, including carboplatin and etoposide. OUTCOMES: After taken the prescription of Methylprednisolone for anti-AMPAR encephalitis, he returned to pre-illness state and was discharged. In April 21, 2017, after symptoms of respiratory system showed up, he was diagnosed with small cell lung cancer and he eventually died of respiratory failure. CONCLUSION: Though progress has been made in recent years in diagnosis and treatment for autoimmune encephalitis, it is challenging to diagnose due to the similarity in clinical findings with other autoimmune or infectious encephalitis. In addition, it is necessary for these patients to regularly have tumor screening, considering AMPAR antibody encephalitis is closely associated with neoplasm, and the incidence of paraneoplastic syndrome is 63% to 70%.

Alterations in Cerebral Hemodynamics During Microgravity: A Literature Review.

Most reported neurological symptoms that happen after exposure to microgravity could be originated from alterations in cerebral hemodynamics. The complicated mechanisms involved in the process of hemodynamics and the disparate experimental protocols designed to study the process may have contributed to the discrepancies in results between studies and the lack of consensus among researchers. This literature review examines spaceflight and ground-based studies of cerebral hemodynamics and aims to summarize the underlying physiological mechanisms that are altered in cerebral hemodynamics during microgravity. We reviewed studies that were published before July 2020 and sought to provide a comprehensive summary of the physiological or pathological theories of hemodynamics and to arrive at firm conclusions from incongruous results that were reported in those related articles. We give plausible explanations of inconsistent results on factors including intracranial pressure, cerebral blood flow, and cerebrovascular autoregulation. Although there are no definitive data to confirm how cerebral hemodynamics changes during microgravity, every discrepancy in results was interpreted by existing theories, which were derived from physiological and pathological processes. We conclude that microgravity-induced alterations of hemodynamics at the brain level are multifaceted. Factors including duration, partial pressures of carbon dioxide, and individual adaptability contribute to this process and are unpredictable. With a growing understanding of this hemodynamics model, additional factors will likely be considered. Aiming for a full understanding of the physiological and/or pathological changes of hemodynamics will enable researchers to investigate its cellular and molecular mechanisms in future studies, which are desperately needed.

Early diagnostic value of serum procalcitonin levels for catheter-related blood stream infection in first-ever acute ischemic stroke patients.

OBJECTIVE: The traditional approaches for diagnosing catheter-related bloodstream infection(CRBSI) is time consuming, which could not meet the clinical requirement. Our aim was to investigate the value of serum procalcitonin(PCT) in predicting CRBSI in first-ever acute ischemic stroke patients with central venous catheters (CVCs). METHODS: This was a retrospective study. First-ever acute ischemic stroke patients hospitalized in neurological intensive care unit(NICU) of Aerospace Center Hospital and NICU of Beijing Chaoyang Hospital during January 2010 and December 2017 with clinically suspected CRBSI were enrolled. Peripheral blood white blood cell (WBC) count, neutrophils percentage(NE%), the levels of serum PCT, dwell time of catheterization and outcome of the patients were collected. According to the diagnosis of CRBSI or not, they were divided into CRBSI group and no CRBSI group. We used receiver operating characteristic curve (ROC) to evaluate the value of serum PCT levels in predicting CRBSI in patients with clinically suspected CRBSI. RESULTS: Forty-five patients with suspected CRBSI were included in this study, and 13 patients were diagnosed with CRBSI. Comparing to those in no CRBSI group, the maximum body temperature (Tmax) (p = 0.036) and the PCT levels (P = 0.013) in CRBSI group were both significantly higher. The area under ROC of the serum PCT levels and the Tmax to predict the CRBSI were 0.803 (0.95CI,0.660-0.946) and 0.680 (0.95CI,0.529-0.832) respectively. The PCT cut-off value was 0.780 ng/ml, with the sensitivity 69.23%, specificity 87.50%, positive predictive values 69.23% and negative predictive values 87.50%. CONCLUSION: It could be helpful to adopt PCT as a rapid diagnostic biomarker for first-ever acute stroke patients with suspected CRBSI.

Hypertrophic olivary degeneration: A comprehensive review focusing on etiology.

Hypertrophic olivary degeneration (HOD) is a rare form of trans-synaptic degeneration characterized by hypertrophy of the inferior olivary nucleus situated in the olivary body, part of the medulla oblongata, representing a major source of input to the cerebellum. HOD typically results from focal lesions interrupting connections from the inferior olive within the dentato-rubro-olivary pathway (DROP), a region also known as the Guillain-Mollaret triangle (GMT) (red nucleus, inferior olivary nucleus, and contralateral dentate nucleus). Clinically, HOD presents classically as palatal tremor and can include dentatorubral tremor and/or ocular myoclonus. Oppenheim first described the enlargement of the ION in his post-mortem study. Since then, a limited number of cases have been reported in the literatures. Thus, we intended to describe the definition, pathophysiology, clinical features, radiological features, diagnosis, and current management of HOD. We provide a comprehensive review of HOD focusing on etiology. The present review may lead to a better understanding of HOD clinical characteristic with the goal of contributing to existing knowledge of this rare disease.

ClC-3 chloride channel protein induces G1 arrest in hepatocellular carcinoma Hep3B cells.

ClC-3 is a type of chloride channel that has multiple functions in tumorigenesis and tumor growth, and can be blocked by DIDS (4,4'-diisothiocyanostilbene-2,2'-disulfonic acid). In the present study, we found that DIDS inhibited the proliferation of Hep3B hepatocellular carcinoma (HCC) cells in a concentration-dependent manner. More in-depth research demonstrated that DIDS downregulated the protein expression levels of cyclin D1 and cyclin E, which are key proteins of the G1 phase. Additionally, we found that ClC-3 siRNA transfection induced G1 arrest in the Hep3B cells, confirming that ClC-3 is involved in the DIDS-induced inhibition of Hep3B cells. Moreover, the level of α-fetoprotein (AFP), a negative prognostic indicator of HCC, was decreased after treatment with DIDS and ClC-3 siRNA. In conclusion, we demonstrated that ClC-3 can arrest the cell cycle at the G1 phase to inhibit cell proliferation, suggesting that ClC-3 has the potential to be a novel target for HCC therapy and potentially improve the prognosis of HCC patients.