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Purpose – This study refers to the social support and trust theories to explore what kind of factors affect the users’ intention to adopt MSC. Design/methodology/approach – A total of 207 subjects who had previously experienced or known about MSC were identified and partial least squares were performed to analyse the measurement and structural models. Findings – The results indicated that MSC purchase intentions are affected significantly by four other factors (social support, perceived usefulness, subjective norm, and trust) and trust, in turn, is affected by three factors (social support, perceived usefulness, and subjective norms). Originality/value – First, this study examines the mechanism of trust formation and actions in the MSC context. Second, this study contributes by confirming the important role of social factors in the MSC context. Third, the study expands the social support theory. Finally, our research provides empirical evidence for enterprises that have adopted MSC to support their marketing strategy and programmes.

Pancreatic cancer (PC) is a highly aggressive malignancy with a poor prognosis, making early diagnosis crucial for improving patient outcomes. While the gut microbiome, including bacteria and viruses, is believed to be essential in cancer pathogenicity, the potential contribution of the gut virome to PC remains largely unexplored. In this study, we conducted a comparative analysis of the gut viral compositional and functional profiles between PC patients and healthy controls, based on fecal metagenomes from two publicly available data sets comprising a total of 101 patients and 82 healthy controls. Our results revealed a decreasing trend in the gut virome diversity of PC patients with disease severity. We identified significant alterations in the overall viral structure of PC patients, with a meta‐analysis revealing 219 viral operational taxonomic units (vOTUs) showing significant differences in relative abundance between patients and healthy controls. Among these, 65 vOTUs were enriched in PC patients, and 154 were reduced. Host prediction revealed that PC‐enriched vOTUs preferentially infected bacterial members of Veillonellaceae, Enterobacteriaceae, Fusobacteriaceae, and Streptococcaceae, while PC‐reduced vOTUs were more likely to infect Ruminococcaceae, Lachnospiraceae, Clostridiaceae, Oscillospiraceae, and Peptostreptococcaceae. Furthermore, we constructed random forest models based on the PC‐associated vOTUs, achieving an optimal average area under the curve (AUC) of up to 0.879 for distinguishing patients from controls. Through additional 10 public cohorts, we demonstrated the reproducibility and high specificity of these viral signatures. Our study suggests that the gut virome may play a role in PC development and could serve as a promising target for PC diagnosis and therapeutic intervention. Future studies should further explore the underlying mechanisms of gut virus‐bacteria interactions and validate the diagnostic models in larger and more diverse populations. [ABSTRACT FROM AUTHOR]

Irritable bowel syndrome (IBS), a chronic functional gastrointestinal disorder, is recognized for its association with alterations in the gut microbiome and metabolome. This study delves into the largely unexplored domain of the gut virome in IBS patients. We conducted a comprehensive analysis of the fecal metagenomic data set from 277 IBS patients and 84 healthy controls to characterize the gut viral community. Our findings revealed a distinct gut virome in IBS patients compared to healthy individuals, marked by significant variances in between‐sample diversity and altered abundances of 127 viral operational taxonomic units (vOTUs). Specifically, 111 vOTUs, predominantly belonging to crAss‐like, Siphoviridae, Myoviridae, and Quimbyviridae families, were more abundant in IBS patients, whereas the healthy control group exhibited enrichment of 16 vOTUs from multiple families. We also investigated the interplay between the gut virome and bacteriome, identifying a correlation between IBS‐enriched bacteria like Klebsiella pneumoniae, Fusobacterium varium, and Ruminococcus gnavus, and the IBS‐associated vOTUs. Furthermore, we assessed the potential of gut viral signatures in predicting IBS, achieving a notable area under the receiver operator characteristic curve (AUC) of 0.834. These findings highlight significant shifts in the viral diversity, taxonomic distribution, and functional composition of the gut virome in IBS patients, suggesting the potential role of the gut virome in IBS pathogenesis and opening new avenues for diagnostic and therapeutic strategies targeting the gut virome in IBS management. [ABSTRACT FROM AUTHOR]

Painful stimuli elicit first-line reflexive defensive reactions and, in many cases, also evoke second-line recuperative behaviors, the latter of which reflects the sensing of tissue damage and the alleviation of suffering. The lateral parabrachial nucleus (lPBN), composed of external- (elPBN), dorsal- (dlPBN), and central/superior-subnuclei (jointly referred to as slPBN), receives sensory inputs from spinal projection neurons and plays important roles in processing affective information from external threats and body integrity disruption. However, the organizational rules of lPBN neurons that provoke diverse behaviors in response to different painful stimuli from cutaneous and deep tissues remain unclear. In this study, we used region-specific neuronal depletion or silencing approaches combined with a battery of behavioral assays to show that slPBN neurons expressing substance P receptor (NK1R) (lPBNNK1R) are crucial for driving pain-associated self-care behaviors evoked by sustained noxious thermal and mechanical stimuli applied to skin or bone/muscle, while elPBN neurons are dispensable for driving such reactions. Notably, lPBNNK1R neurons are specifically required for forming sustained somatic pain-induced negative teaching signals and aversive memory but are not necessary for fear-learning or escape behaviors elicited by external threats. Lastly, both lPBNNK1R and elPBN neurons contribute to chemical irritant-induced nocifensive reactions. Our results reveal the functional organization of parabrachial substrates that drive distinct behavioral outcomes in response to sustained pain versus external danger under physiological conditions. [ABSTRACT FROM AUTHOR]

Background/Aims: Cholangiocarcinoma (CCA) is one of the most common malignant tumors of the biliary tract originating from biliary epithelial cells. Although many therapeutic strategies have been developed to treat CCA, the survival rate for CCA patients is still quite low. Thus it is urgent to elucidate the pathogenesis of CCA and to explore novel therapeutic targets. miR-191 has been shown to be associated with many human solid cancers, but the function of miR-191 in CCA is still poorly understood. Methods: We first investigated the expression level of miR-191 in human CCA tissues and cell lines with quantitative real-time PCR (qRT-PCR). The effects of miR-191 on CCA cells were determined by Cell Counting Kit-8 assay, colony formation assay and acridine orange/ethidium bromide staining. Finally, we utilized qRT-PCR, western blot and luciferase reporter assays to verify the miR-191 target gene. Results: We showed that miR-191 was up-regulated in CCA cell lines and patients. Knockdown of miR-191 by transfection of its inhibitor sequence blocked RBE cells viability and induced apoptosis of RBE cells. Both qRT-PCR and western blot analysis showed that the secreted frizzled-related protein-1 (sFRP1) level was negatively correlated with that of miR-191. Luciferase assay validated that sFRP1 was a direct target of miR-191. Moreover, knockdown of miR-191 led to suppression of Wnt/β-catenin signaling activation. Co-transfection of sFRP1 small interfering RNA (siRNA) and miR-191 inhibitor re-activated the Wnt/β-catenin signaling pathway as detected by an increased level of β-catenin and phosphorylation of GSK-3β, and restored the expression of survivin and c-myc in RBE cells. Co-transfection of sFRP1 siRNA with miR-191 inhibitor restored the colony formation ability and viability of RBE cells. Conclusion: Taken together, our results demonstrate a novel insight into miR-191 biological function in CCA. Our findings suggest that miR-191 is a potential therapeutic target of CCA treatment.

Sleep-wake development in postnatal rodent life could reflect the brain maturational stages. As the altricial rodents, rats are born in a very undeveloped state. Continuous sleep recording is necessary to study the sleep-wake cycle profiles. However, it is difficult to realize in infant rats since they rely on periodic feeding before weaning and constant warming and appropriate EEG electrodes. We developed a new approach including two types of EEG electrodes and milk-feeding system and temperature-controlled incubator to make continuously polysomnographic (PSG) recording possible. The results showed that there was no evident difference in weight gaining and behaviors between pups fed through the milk-feeding system and warmed with temperature-controlled incubator and those kept with their dam. Evolutional profiles of EEG and electromyogram (EMG) activities across sleep-wake states were achieved perfectly during dark and light period from postnatal day (P) 11 to P75 rats. The ontogenetic features of sleep-wake states displayed that the proportion of rapid eye movement (REM) was 57.0 ± 2.4% and 59.7 ± 1.7% and non-REM (NREM) sleep was 5.2 ± 0.8% and 4.9 ± 0.5% respectively, in dark and light phase at P11, and then REM sleep progressively decreased and NREM sleep increased with age. At P75, REM sleep in dark and light phase respectively, reduced to 6.3 ± 0.6% and 6.9 ± 0.5%, while NREM correspondingly increased to 37.5 ± 2.1% and 58.4 ± 1.7%. Wakefulness from P11 to P75 in dark phase increased from 37.8 ± 2.2% to 56.2 ± 2.6%, but the change in light phase was not obvious. P20 pups began to sleep more in light phase than in dark phase. The episode number of vigilance states progressively decreased with age, while the mean duration of that significantly increased. EEG power spectra in 0.5–4 Hz increased with age accompanied with prolonged duration of cortical slow wave activity. Results also indicated that the dramatic changes of sleep-wake cycle mainly occurred in the first month after birth. The novel approaches used in our study are reliable and valid for continuous PSG recording for infant rats and unravel the ontogenetic features of sleep-wake cycle.

Disturbed sleep is a common subjective complaint among individuals with anxiety disorders. Sleep deprivation increases general and specific anxiety symptoms among healthy individuals. The amygdala is critical for regulating anxiety and also involved in mediating the effects of emotions on sleep. Neuropeptide S (NPS) and NPS receptors (NPSR) are reported as a novel endogenous arousal and anxiolytic system, but it is unclear yet whether this system is involved in anxiety-like behavior and sleep caused by sleep deprivation, and how it plays anxiolytic effect underlying the comorbid condition. In the present study, we demonstrate that paradoxical sleep deprivation (PSD) induced by modified multiple platform method (MMPM) for 24 h caused anxiety-like behavior, a prolonged sleep latency and subsequent paradoxical sleep (PS) rebound accompanied by an increase in electroencephalogram (EEG) theta (4.5–8.5 Hz) activities across light and dark phase in rats. The increase of PS after PSD was due to an increase of episode number during light phase and both episode number and duration during dark phase. Central action of NPS (1 nmol) attenuated PSD-induced anxiety-like behavior, and altered PSD-induced sleep-wake disturbances through increasing wakefulness, and suppressing PS and EEG theta activities. The reduction in PS time following NPS administration during light phase was because of a decreased episode number. Furthermore, sleep amount in 24 h in PSD rats given NPS was lesser than that given saline. PSD significantly enhanced NPSR mRNA expression level in the amygdala. NPS remarkably increased the number of Fos-ir neurons in the basolateral amygdala (BLA), the central amygdala (CeA) and medial amygdala (MeA). The majority of Fos-ir neurons induced by NPS also expressed NPSR. These results suggest that NPSR upregulation in the amygdala is presumably related to the PSD-induced anxiety-like behavior and sleep disturbances, and that NPS counteracts PSD-induced anxiety-like behavior and sleep disturbances possibly through activating the neurons bearing NPSR in the amygdala. In addition, the little sleep increase in PSD rats treated with NPS suggests that NPS can function as an anxiolytic without causing a subsequent sleep rebound.

Onabotulinumtoxin A (BoNTA) has been reported to be effective in the therapy for migraines. Acupuncture has been used worldwide for the treatment of migraine attacks. Injection of a small amount of drug at acupuncture points is an innovation as compared to traditional acupuncture. The purpose of this study was to evaluate and compare the effectiveness of fixed (muscle)-site and acupoint-site injections of BoNTA for migraine therapy in a randomized, double-blinded, placebo-controlled clinical trial extending over four months. Subjects with both episodic and chronic migraines respectively received a placebo (n = 19) or BoNTA (2.5 U each site, 25 U per subject) injection at fixed-sites (n = 41) including occipitofrontalis, corrugator supercilii, temporalis and trapeziue, or at acupoint-sites (n = 42) including Yintang (EX-HN3), Taiyang (EX-HN5), Baihui (GV20), Shuaigu (GB8), Fengchi (GB20) and Tianzhu (BL10). The variations between baseline and BoNTA post-injection for four months were calculated monthly as outcome measures. BoNTA injections at fixed-sites and acupoint-sites significantly reduced the migraine attack frequency, intensity, duration and associated symptoms for four months compared with placebo (p < 0.01). The efficacy of BoNTA for migraines in the acupoint-site group (93% improvement) was more significant than that in the fixed-site group (85% improvement) (p < 0.01). BoNTA administration for migraines is effective, and at acupoint-sites shows more efficacy than at fixed-sites. Further blinded studies are necessary to establish the efficacy of a low dose toxin (25 U) introduced with this methodology in chronic and episodic migraines.

Objective Perioperative treatment strategies and clinical efficacy were discussed in this presentation when carotid endarterectomy (CEA) was performed for severe carotid artery stenosis patients. Methods CEA was underwent for 356 patients with severe carotid atherosclerotic stenosis in Department of Neurosurgery of Dalian Municipal Central Hospital from March 2009 to August 2013. Severe carotid artery stenosis (70%-99%) were diagnosed according to clinical manifestations and multiple tests, which included neck vascular Doppler ultrasound, transcranial Doppler ultrasonography (TCD), head and neck CTA or MRA, and so on. Forty-four of 356 patients suffered severe bilateral stenosis. Thus a total of 400 CEA was performed in 356 patients in this discussion. General anesthesia was applied. Among all of the CEA, 120 was operated in the standard approach; eversion carotid endarterectomy was underwent in 255 cases; membrane patch was used in 25 cases. Only 32 cases of 400 were adapted transit shunt. Results All of the operations were successful. Most of patients had significant improvements in clinical presentation. Imaging studies also revealed better cerebral blood flow or perfusion. Head lightness or dizziness were disappeared. Motor/sensory function and memory were improved in most cases. Postoperative complications were found in a total of 12 cases, including a few days of hoarseness in one case; small contralateral cerebral hemorrhage in one case; restenosis in one case; wound hematoma in one case; partial seizures in 2 cases; middle cerebral artery occlusion in 2 cases; contralateral cerebral infarction in 4 cases. The follow-up (1-36 months) showed most of complications were resolved. Conclusions A skillful, standard and experienced surgical team is important and essential for CEA. It is necessary to assess, monitor and treat perioperative patients closely, which may reduce surgical mortality, effectively prevent from occurrence of postoperative complications, and improve patients' quality of life after surgery.doi：10.3969/j.issn.1672-6731.2014.01.008Video: http://www.cjcnn.org/index.php/cjcnn/pages/view/v14n1a8

We present a systematic investigation on the effect of adding nanoparticles on the dynamics of polymer chains by using coarse-grained molecular dynamics simulation. The dynamics is characterized by three aspects: molecular motion, relaxation at different length scales, and dynamical heterogeneity. It is found that the motion of polymer chains slows down and the deviation from Gaussian distribution becomes more pronounced with increasing nanoparticle volume fractions. For polymer nanocomposites with R ≤ Rg, the relaxation at the wave vector q = 7.0 displays multistep decay, consistent with the previous reports in strongly interacting polymer nanocomposites. Moreover, a qualitatively universal law is established that dynamic heterogeneity at whole chain's scale follows a nonmonotonic increase with increasing nanoparticle loadings, where the volume fraction of the maximum dynamic heterogeneity corresponds to the particle loading when the average distance between nanoparticles is equal to the Kuhn length of polymer chains. We show that the decoupling between whole chain's dynamics and segment dynamics is responsible for the nonmonotonic behavior of dynamic heterogeneity of whole chains. [ABSTRACT FROM AUTHOR]

The support vector machine (SVM) has been combined with the intuitionistic fuzzy set to suppress the negative impact of noises and outliers in classification. However, it has some inherent defects, resulting in the inaccurate prior distribution estimation for datasets, especially the imbalanced datasets with non-normally distributed data, further reducing the performance of the classification model for imbalance learning. To solve these problems, we propose a novel relative density-based intuitionistic fuzzy support vector machine (RIFSVM) algorithm for imbalanced learning in the presence of noise and outliers. In our proposed algorithm, the relative density, which is estimated by adopting the k-nearest-neighbor distances, is used to calculate the intuitionistic fuzzy numbers. The fuzzy values of the majority class instances are designed by multiplying the score function of the intuitionistic fuzzy number by the imbalance ratio, and the fuzzy values of minority class instances are assigned the intuitionistic fuzzy membership degree. With the help of the strong capture ability of the relative density to prior information and the strong recognition ability of the intuitionistic fuzzy score function to noises and outliers, the proposed RIFSVM not only reduces the influence of class imbalance but also suppresses the impact of noises and outliers, and further improves the classification performance. Experiments on the synthetic and public imbalanced datasets show that our approach has better performance in terms of G-Means, F-Measures, and AUC than the other class imbalance classification algorithms. [ABSTRACT FROM AUTHOR]