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In this paper we focus on solving the problem of scheduling heterogenous resources in Sensor Cloud Infrastructure. We consider that the sensing resources are periodically available and they vary, not only by their types, but also by their capabilities. It is also assumed that the performance of the resources are time varying and non-uniform. The requests specify the type and the capabilities it requires, and a time span it is interested in. There may not be a single resource that is available through the requested time span. Our objective is to schedule one or more such periodically available resources, that match the requested type and capabilities while minimizing resource migrations and maximizing the overall performance of the service.

Currently, there is a lack of adequate methods to assess insomnia objectively. This study addresses the usefulness of tongue features and oral microbial profile as a potential diagnostic biomarker of insomnia. One hundred insomniac patients and 20 healthy control subjects were selected. Their demographic and clinical characteristics, as well as the tongue diagnostic indices and oral microbial profile, were examined. Compared to the control group, insomniac patients showed a higher abnormal low-frequency/high-frequency (LF/HF) ratio. In tongue diagnosis, the indices related to lightness of tongue body and tongue coating were higher in the insomniac group vs. the control group. Furthermore, linear discriminant analysis (LDA) of oral microbial population revealed that the relative abundances of Clostridia, Veillonella, Bacillus and Lachnospiraceae were significantly higher in the insomniac patients than the control group. Additionally, the tongue features of the insomniac group exhibited that the non-coating group had a poor sleep condition compared to the thick-coating group, although the difference was insignificant. On the other hand, the oral microbial communities of the insomniac patients revealed greater alpha and beta diversities in the non-coating group vs. the thick-coating group. The alpha and beta diversities were higher in orotype1 than orotype2. Collectively, this study highlighted that the lightness of tongue body and tongue coating as well as oral microbial profiles of SR1, Actinobacteria, Clostridia and Lachnospiraceae_unclassified could be considered potential biomarkers of insomnia.

Integration of sensor and cloud technologies enable distributed sensing and data collection. We consider a scenario when sensing requests are originated from sensor aware applications that are hosted inside sensor-cloud infrastructures. These requests need to be satisfied using geographically distributed sensors. However, if the sensing resources are mobile, then sensing territory is not limited to a fixed region, rather spatially diverse. In this work, we present a generic scheme for integrating spatio-temporal information of mobile sensors for Internet of Things– (IoT) based environment monitoring system. A set of algorithms are proposed in this work to model spatial and temporal features of mobile resources and exploit resource mobility. We also propose probabilistic models to measure feasibility of a resource to sense a specific spatio-temporal phenomenon. We rank the resources based on their feasibility of satisfying the sensing requests and later use the information for efficient resource allocation and scheduling.

Background: The role of gut microbiota in metabolic diseases has recently been widely verified. Thyroid hormones are essential for the regulation of energy homeostasis and metabolic processes. However, the relationship between thyroid function and host gut microbial communities is not properly understood. Method: To determine whether and how gut microbiota is associated with thyroid function, metagenomics analysis of the bacterial population in fecal samples of rat models of hyperthyroidism (induced by levothyroxine) and hypothyroidism (induced by propylthiouracil or thyroidectomy) was conducted through 16SrRNA gene sequencing. Finding: Our results revealed that all thyroid dysfunction models were definitely established and gut microbial composition varied according to different thyroid functional status. The relative abundance of Ruminococcus was significantly higher in the hyperthyroidism group (HE) vs both the normal and hypothyroidism (HO) groups while S24-7 was significantly higher in the HO group compared to both the normal and HE groups. The relative abundance of Prevotellaceae and Prevotella were significantly lower in the HO group vs the normal. Firmicutes and Oscillospira was significantly higher in the SHO (surgery-induced hypothyroidism) group than the SHAM group, while Prevotellaceae andPrevotella showed lower abundance in the SHO group compared to the SHAM group. Interpretation: This is the first perspective study of the relationship between thyroid gland and gut microbiota using Next Generation Sequencing-based microbial identification technology. We demonstrated that thyroid status and function influenced the gut microbial composition, and the results presented here can be used as reference in future studies to identify potential mechanism(s) by which thyroid modulates gut microbial population. Funding Statement: This work was supported by a National Research Foundation (NRF) of Korea Grant funded by the Korean Government (NRF- 2019R1A2B5B01070365). This work was also supported by the Main Research Program (E0170602-02) of the Korea Food Research Institute (KFRI) funded by the Ministry of Science and ICT. Declaration of Interests: The authors declare no conflict of interest. Ethics Approval Statement: The animal experimental protocol was approved by the Institutional Animal Care and Use Committee of Dongguk University (approval no. 2015-08128) and all experiments were conducted in accordance with the Guide for the Care and Use of Laboratory Animals

Scutellaria baicalensis (SB), a herbal medicine, is commonly used to treat metabolic diseases, while Metformin (MF) is a widely used drug for type 2 diabetes. The purpose of this study was to investigate whether co-treatment of SB with MF could produce a potential therapeutic effect on high-fat and high-fructose diet (HFFD)-induced metabolic dysregulation. First, we optimized the dose of SB (100, 200, 400, and 800[Formula: see text]mg/kg) with MF (200[Formula: see text]mg/kg) in HFFD-induced C57BL6J mice. Next, the optimized dose of SB (400[Formula: see text]mg/kg) was co-administered with MF (50, 100, and 200[Formula: see text]mg/kg) in a similar animal model to find the effective combinations of SB and MF. Metabolic markers were determined in serum and tissues using different assays, histology, gene expression, and gut microbial population. The SB and MF co-treatment significantly decreased the body, liver, and VAT weights. The outcome of OGTT was improved, and the fasting insulin, HbA1c, TG, TC, LDL-c, AST, and ALT were decreased, while HDL-c was significantly increased. Histological analyses revealed maintained the integrity of liver, adipose tissue, and intestine prevented lipid accumulation in the liver and intestine and combated neuronal damage in the brain. Importantly, controlled the expression of PPAR[Formula: see text], and IL-6 genes in the liver, and expression of BDNF, Glut1, Glut3, and Glut4 genes in the brain. Treatment-specific gut microbial segregation was observed in the PCA chart. Our findings indicate that SB and MF co-treatment is an effective therapeutic approach for HFFD-induced metabolic dysregulation which is operated through the gut–liver–brain axis.

In this paper we focus on solving the problem of scheduling heterogenous resources in Sensor Cloud Infrastructure. We consider that the sensing resources are periodically available and they vary, not only by their types, but also by their capabilities. It is also assumed that the performance of the resources are time varying and non-uniform. The requests specify the type and the capabilities it requires, and a time span it is interested in. There may not be a single resource that is available through the requested time span. Our objective is to schedule one or more such periodically available resources, that match the requested type and capabilities while minimizing resource migrations and maximizing the overall performance of the service.

Akkermansia muciniphila (A. muciniphila) is a promising probiotic candidate owing to its health-promoting properties. A previous study reported that the pasteurized form of A. muciniphila strains isolated from human stool samples had a beneficial impact on high-fat diet-induced obese mice. On the other hand, the differences in the probiotic effects between live and pasteurized A. muciniphila on the metabolism and immune system of the host are still inconclusive. This study examines the differences between the live and pasteurized forms of A. muciniphila strains on the lipid and glucose metabolism and on regulating the inflammatory immune responses using a HFD-fed obese mouse model. The animals were administered the live and pasteurized forms of two A. muciniphila strains five times per week for the entire study period of 12 weeks. Both forms of the bacterial strains improved the HFD-induced obesity and metabolic dysregulation in the mice by preventing body-weight gains after one week. In addition, they cause a decrease in the weights of the major adipose tissues, adipogenesis/lipogenesis and serum TC levels, improvement in glucose homeostasis and suppression of inflammatory insults. Furthermore, these treatments restored the damaged gut architecture and integrity and improved the hepatic structure and function in HFD-induced animals. On the other hand, for both bacterial strains, the pasteurized form was more potent in improving glucose tolerance than the live form. Moreover, specific A. muciniphila preparations with either live or pasteurized bacteria decreased the number and population (%) of splenic Treg cells (CD4+ Foxp3+) significantly in the HFD-fed animals, further supporting the anti-inflammatory properties of these bacteria.

Panax notoginseng (PN) is a traditional herbal medicine containing several active compounds such as saponins and ginsenosides with many therapeutic applications including anti-obesity activity. Fermentation by lactic acid bacteria has the potential to metabolize ginsenosides to more active forms. This study examined whether fermentation has any benefits on the protective effects of a PN extract against obesity using a high-fat diet (HFD)-fed mouse model. PN was fermented with Lactobacillus plantarum which exhibited high β-glucosidase activity. Upon fermentation, the PN extract exhibited an altered ginsenoside profile, a dramatic increase in the lactate level. Treatment of the HFD group with fermented PN (FPN), but not PN, decreased both the food and calorie intake significantly, which was consistent with the more potent suppressing effects of FPN than PN on the signaling pathways involved in appetite and energy intake. The PN treatment also modulated the gut microbial composition. The PN and FPN treatment groups showed clear differences in the population of gut microbiota. The relative abundance of Bacteroidetes, Erysipelotrichaceae, Coprococus, and Dehalobacterium were significantly higher in the FPN group then the normal, HFD, and XEN groups. Furthermore, the relative abundances of Akkermansia, Dehalobacterium, Erysipeliotrichaceae and parpabacteroides were significantly higher in the FPN group than the PN group, but the relative abundances of Allobaculum, Erysipelotrichi and Erysipelotrichale were significantly lower. The relative abundance of Bacteroides and Lactococcus was significantly higher and lower, respectively in the PN and FPN groups than the HFD group. In conclusion, the altered ginsenoside and organic acid’s profile, and altered gut microbial composition are believed to be the major factors contributing to the anti-obesity properties of FPN.

With the advent of sensor technologies, cloud applications are able to acquire sensed data from remotely located sensors which are geographically distributed. Cloud computing, when integrated with sensor devices facilitates pervasive and shared access to the sensor data from geographically distributed sensors. There have been some research works targeting integration of cloud and sensors. However, so far integration of sensors and applications are done at the application layer. On the other hand, our objective is to propose a sensor-cloud architecture which creates virtual sensors, i.e. a layer of abstraction at the Infrastructure as a Service level. In this architecture, remotely located sensing resources are treated as citizens of generic resource family just like CPU, memory and storage devices. However, in order to realize this architecture, a resource model is required. The resource model should be sufficiently generic, so that it can incorporate computational, as well as sensing resources. In this paper one such generic resource model along with request, reservation and allocation facilities for both computational and sensing resources is presented.

BACKGROUND: Ginseng, a traditional herbal medicine, has been used for thousands of years to treat various diseases including metabolic syndrome (MS). However, the underlying mechanism(s) of such beneficial actions of ginseng against MS is poorly understood. Emerging evidence indicates a close association of the host gut microbiota with MS. The present study was conducted to examine, whether the beneficial effects of Korean red ginseng (KRG) against MS could be influenced by gut microbial population and whether gut microbial profile could be considered a valuable biomarker for targeted treatment strategy for MS in compliance with the predictive, preventive, and personalized medicine (PPPM / 3PM). METHODS: This clinical study was a randomized, double-blind, placebo-controlled trial evaluating the effects of KRG treatment for 8 weeks on patients with MS. The anthropometric parameters, vital signs, metabolic biomarkers, and gut microbial composition through 16S rRNA gene sequencing were assessed at the baseline and endpoint. The impact of KRG was also evaluated after categorizing the subjects into responders and non-responders, as well as enterotypes 1 and 2 based on their gut microbial profile at the baseline. RESULTS: Fifty out of 60 subjects who meet the MS criteria completed the trial without showing adverse reactions. The KRG treatment caused a significant decrease in systolic blood pressure (SBP). Microbial analysis revealed a decrease in Firmicutes, Proteobacteria, and an increase in Bacteroidetes in response to KRG. In patient stratification analysis, the responders showing marked improvement in the serum levels of lipid metabolic biomarkers TC and LDL due to the KRG treatment exhibited higher population of both the family Lachnospiraceae and order Clostridiales compared to the non-responders. The homeostasis model assessment-insulin resistance (HOMA-IR) and insulin level were decreased in enterotype 1 (Bacteroides-abundant group) and increased in enterotype 2 (prevotella-abundant group) following the KRG treatment. CONCLUSION: In this study, the effects of KRG on the glucose metabolism in MS patients were influenced by the relative abundances of gut microbial population and differed according to the individual enterotype. Therefore, the analysis of enterotype categories is considered to be helpful in predicting the effectiveness of KRG on glucose homeostasis of MS patients individually. This will further help to decide on the appropriate treatment strategy for MS, in compliance with the perspective of PPPM.

Cheonwangbosim-dan (CWBSD) is a traditional Korean herb formula that has been widely prescribed for insomnia patients with a heart-yin deficiency (HYD) pattern. Several studies have reported that heart function and insomnia are interrelated, and few have explored associations between insomnia, oral microbiota, and tongue diagnosis. This study aimed to evaluate the effects of CWBSD on primary insomnia, tongue diagnosis, and oral microbiota. At baseline, 56 patients with primary insomnia were assigned to two groups, a HYD group and a non-HYD (NHYD) group and they took CWBSD for 6 weeks. During the study, Pittsburgh Sleep Quality Indices (PSQIs) and Insomnia Severity Indices (ISIs) decreased significantly in both groups. However, the PSQI reduction observed in the HYD group was greater than in the NHYD group and sleep times increased only in the HYD group. As sleep quality improved, the amount of tongue coating increased at the posterior tongue, where heart function appears. At baseline, the HYD and NHYD group had a specific oral microbiota (Veillonella at genus level), but no significant change was observed after taking CWBSD. Additionally, subjects were divided into two oral microbiota types (“orotypes”). The genera Prevotella, Veillonella, or Neisseria were abundant in each orotype. The reduction in PSQI in orotype 1 during the 6-week treatment period was greater than in orotype 2. In conclusion, this study shows that CWBSD could be used to treat primary insomnia in patients with a HYD pattern as determined using tongue diagnosis and oral microbiota distributional patterns.

Sensing and cloud technologies are two primary ingredients for developing IoT services. However, there are several challenges which need to be handled for delivering uninterrupted sensing services over the internet. These challenges include: handling heterogeneous sensing devices, non-interoperability issues due to different standards and protocols, acquiring sensing devices from external network by IoT applications, reducing data transmission from the sensing devices to cloud, and handling huge amounts of unstructured and semi-structured data from the cloud. Over the last decade, many IoT platforms have been proposed by the researchers, and solutions have been developed based on these platforms. However, the platforms are non-interoperable, and solutions are developed based on their own IoT infrastructure, devices, APIs, and data formats. In this research work, a framework is proposed based on sensor virtualization at the IaaS layer of the cloud. Sensors are treated as the members of a shared resource pool, just like computational resources in a cloud platform. These sensors can be acquired on a demand basis, shared by different applications, and released when no longer required by the applications. An architecture is developed for plugging the physical sensors with the cloud platform and virtualizing them to handle heterogeneity and facilitate shared access. The proposed solution has been implemented in remote healthcare delivery applications. In this chapter, a kiosk-based application is discussed, and its implementation and its impact on the society are presented as a case study.

A current sensing analog-to-digital converter (CADC) targeting biomedical applications is proposed in this paper. The proposed architecture consists of a leaky integrate and fire (LIF) neuron model inspired from neuromorphic circuits along with digital control circuits and error correction circuit to enhance INL/DNL performance. The architecture is tuned for input signal ranging from 1 µA to 64 µA with power supply of 1/1.8 V for digital and analog blocks respectively. The design is implemented in 0.18 µm CMOS 1P4M triple-well process of Tower Jazz Semiconductor's technology. Total power consumption of the circuit is 1. 95 mW & 48.86 μW respectively and achieves FoM of 331.6 & 71.24 pJ/conversion-step for the cases with and without error correction for 6-bits operation.

Background Cheonwangbosim-dan (CBD) is a traditional Korean herb formula that has been widely prescribed for insomnia patients with a heart-yin deficiency (HYD) pattern. Several studies have recently reported that heart function and insomnia are interrelated, and others have explored associations between insomnia, oral microbiota, and tongue diagnosis. This study aimed to evaluate the effects of CBD on primary insomnia, tongue diagnosis, and oral microbiota. We conducted a prospective, open-label clinical trial on primary insomnia. At baseline, 56 patients with primary insomnia were assigned to two groups, a HYD group and a non-HYD (NHYD) group. Members of these groups took CBD for 6 weeks. Primary and secondary outcomes including Pittsburgh Sleep Quality Indices (PSQIs), Insomnia Severity Indices (ISIs), actigraphy results, cardiac function, autonomic nerve function, clinical laboratory results, tongue features, and oral microbiota were collected from all subjects at after 0, 3, or 6 weeks of treatment. Additionally, PSQI and ISI were determined by telephone follow-up 10 weeks after study commencement.Results During the study, PSQIs and ISIs decreased significantly in both groups. However, the PSQI reduction observed in the HYD group was greater than in the NHYD group and sleep times as determined by actigraphy, that is, total bedtimes (TBTs) and total sleep times (TST), increased only in the HYD group. As sleep quality improved, the amount of tongue coating increased at the posterior tongue, where heart function appears. At baseline, the HYD and NHYD group had a specific oral microbiota (Veillonella at genus level), but no significant change was observed after taking CBD. Additionally, subjects were divided into two oral microbiota types (‘orotype’). The genera Prevotella, Veillonella or Neisseria were abundant in each orotype. The reduction in PSQI in the orotype 1 during the 6-week treatment period was greater than in orotype 2.Conclusions Taking together, CBD was effective in primary insomnia patients with a HYD pattern and CBD increased the amount of tongue coating. In addition, oral microbiota distributions were different in patients with a HYD or a NHYD pattern. The study shows CBD could be used to treat primary insomnia in patients with a HYD pattern as determined using tongue diagnosis and oral microbiota distributional patterns.

Preterm birth (PTB) refers to the birth of infants before 37 weeks of gestation and is a challenging issue worldwide. Evidence reveals that PTB is a multifactorial dysregulation mediated by a complex molecular mechanism. Thus, a better understanding of the complex molecular mechanisms underlying PTB is a prerequisite to explore effective therapeutic approaches. During early pregnancy, various physiological and metabolic changes occur as a result of endocrine and immune metabolism. The microbiota controls the physiological and metabolic mechanism of the host homeostasis, and dysbiosis of maternal microbial homeostasis dysregulates the mechanistic of fetal developmental processes and directly affects the birth outcome. Accumulating evidence indicates that metabolic dysregulation in the maternal or fetal membranes stimulates the inflammatory cytokines, which may positively progress the PTB. Although labour is regarded as an inflammatory process, it is still unclear how microbial dysbiosis could regulate the molecular mechanism of PTB. In this review based on recent research, we focused on both the pathological and therapeutic contribution of microbiota-generated metabolites to PTB and the possible molecular mechanisms.

Protein misfolding, which is known to cause several serious diseases, is an emerging field that addresses multiple therapeutic areas. Misfolding of a disease-specific protein in the central nervous system ultimately results in the formation of toxic aggregates that may accumulate in the brain, leading to neuronal cell death and dysfunction, and associated clinical manifestations. A large number of neurodegenerative diseases in humans, including Alzheimer's, Parkinson's, Huntington's, and prion diseases, are primarily caused by protein misfolding and aggregation. Notably, the cellular system is equipped with a protein quality control system encompassing chaperones, ubiquitin proteasome system, and autophagy, as a defense mechanism that monitors protein folding and eliminates inappropriately folded proteins. As the intrinsic molecular mechanisms of protein misfolding become more clearly understood, the novel therapeutic approaches in this arena are gaining considerable interest. The present review will describe the chaperones network and different approaches as the therapeutic targets for neurodegenerative diseases. Current and emerging therapeutic approaches to combat neurodegenerative diseases, addressing the roles of molecular, chemical, and pharmacological chaperones, as well as heat shock factor-1 and the unfolded protein response, are also discussed in detail.

Several lines of evidence indicate that inflammatory bowel disease (IBD) is associated with Clostridium difficile (CD) infection as a consequence of gut dysbiosis. Currently available treatments of IBD are either not very effective or have adverse effects. Pyungwi-san (PWS), a traditional Chinese herbal formulation, has long been used to treat gastrointestinal disorders. The present study was conducted to investigate the efficacy of PWS against dextran sulfate sodium (DSS) + CD-induced IBD in mice. The animals received DSS in drinking water for seven days to produce DSS-induced acute colitis. In the DSS + CD group, the DSS-fed animals were orally administered with CD spores twice during the DSS treatment period. We observed that exposure of DSS + CD-treated animals to PWS significantly decreased the disease activity index; prevented the shortening of colonic length and increases in spleen size and weight; restored colonic histological parameters by significantly increasing mucus thickness, crypt depth, and goblet cell numbers; protected the tight junction proteins; improved the profiles of pro-inflammatory and anti-inflammatory cytokines; and normalized the abundance ratio of the Firmicutes/Bacteroidetes in the gut. Thus, PWS exerted a number of protective effects on DSS + CD-induced colitis, which might be mediated via restoration of a balance in gut microbial communities.

In IoT scenario, a device can be deployed in a particular environment to serve a particular purpose. It can be any smart device acting as an integral part of any smart system deployed in any environment, which requires remote supervision. To facilitate on-demand remote control of such smart systems, from any public server, that sever must be able to propagate the required signal to the appropriate devices. But, these devices are not publicly addressable as they reside behind various Network Address Translators (NAT). These devices even have energy constraints as they are battery powered. Therefore, for such devices, maintaining a TCP connection or performing repeated polling to the public server is not an energy efficient solution. This paper proposes a scheme that facilitates the server to maintain a UDP connection to the client residing behind a NAT, by dynamic determination of that NAT's translation entry lifetime and by maintaining the translation entry on that NAT through periodic keep-alives from the Server. Thus leading to an energy efficient solution towards on-demand acquiring of sensing resources for IoT based cloud services.

Microglia, the resident macrophages of the central nervous system, play a vital role in the regulation of innate immune function and neuronal homeostasis of the brain. Currently, much interest is being generated regarding the investigation of the microglial migration that results in their accumulation at focal sites of injury. Chemokines including CCL2 are known to cause the potential induction of migration of microglial cells, although the underlying mechanisms are not well understood. In the present study, using murine neonatal BV2 microglial cells as a model, we investigate the impact of CCL2 on the migration of microglial cells and address the probable molecular events within the cellular signaling cascades mediating CCL2-induced cell migration. Our results demonstrate concentration- and time-dependent induction of BV2 cell migration by CCL2 and reveal complex mechanisms involving the activation of MEK, ERK1/2, and Akt, and their cross-talk. In addition, we demonstrate that the MEK/ERK pathway activated by CCL2 treatment mediate p90RSK activation in BV2 cells. Moreover, our findings indicate that Akt, ERK1/2, and p90RSK are the downstream effectors of PI3K in the CCL2-induced signaling. Finally, phosphorylation of the transcription factors c-jun and ATF-1 is found to be a further downstream signaling cascade in the CCL2-mediated action. Our results suggest that CCL2-induced activation of c-jun and ATF-1 is likely to be linked to the MEK/ERK and PI3K signaling pathways, respectively. Taken together, these findings contribute to a better understanding of CCL2-induced microglial migration and the probable signaling pathways involved.

Herbal drugs, which possess immunomodulatory, anti-inflammatory, anti-diabetic, anti-infective, and anti-allergic activities, encompass various therapeutic areas, and have been used as traditional medicines for thousands of years. Fermentation is an indispensable traditional technology for the improving the efficacy or reducing adverse effects of herbal medicines. The fermentation process has been shown to improve biological properties of plants, vegetables, and herbs. More specifically, fermentation causes decomposition and/or biotransformation of complex substrates into compatible components, thereby modulating product properties or changing the quantity of certain bioactive compounds. Accumulating evidence indicates the valuable contribution of probiotics and their fermented food products to health. In recent years, considerable attention has been paid to fermentation technology across the globe for improving herbal drugs through production and enrichment of additional bioactive metabolites of medicinal importance including isoflavones, saponins, phytosterols, and phenols. For example, the phenolic contents of the herbal preparation can be increased as a consequence of fermentation and a positive correlation between polyphenols and the anti-oxidant activities of herbs has been well demonstrated. This is in agreement with evidence showing fermentation-mediated enhancement of the pharmacological properties and therapeutic efficacies of herbal formulations against a number of diseases including obesity and inflammation. The subject of fermentation of herbal preparations has been maturing and gaining considerable attention of scientific and technical communities worldwide. In the current review we have addressed these issues in detail with emphasis on understanding the contribution of fermentation-derived bioactive substances to therapies against a number of diseases.

The identification of new probiotics with anti-obesity properties has attracted considerable interest. In the present study, the anti-obesity activities of Akkermansia muciniphila (A. muciniphila) strains isolated from human stool samples and their relationship with the gut microbiota were evaluated using a high fat-diet (HFD)-fed mice model. Three strains of A. muciniphila were chosen from 27 isolates selected based on their anti-lipogenic activity in 3T3-L1 cells. The anti-lipogenic, anti-adipogenic and anti-obesity properties of these three strains were evaluated further in HFD-induced obese mice. The animals were administered these strains six times per week for 12 weeks. The treatment improved the HFD-induced metabolic disorders in mice in terms of the prevention of body weight gain, caloric intake and reduction in the weights of the major adipose tissues and total fat. In addition, it improved glucose homeostasis and insulin sensitivity. These effects were also associated with the inhibition of low-grade intestinal inflammation and restoration of damaged gut integrity, prevention of liver steatosis and improvement of hepatic function. These results revealed a difference in the distribution pattern of the gut microbial communities between groups. Therefore, the gut microbial population modulation, at least in part, might contribute to the beneficial impact of the selected A. muciniphila strains against metabolic disorders.

Blood and serum N-glycans can be used as markers for cancer diagnosis, as alterations in protein glycosylation are associated with cancer pathogenesis and progression. We aimed to develop a platform for breast cancer (BrC) diagnosis based on serum N-glycan profiles using MALDI-TOF mass spectroscopy. Serum N-glycans from BrC patients and healthy volunteers were evaluated using NosQuest's software "NosIDsys." BrC-associated "NosID" N-glycan biomarkers were selected based on abundance and NosIDsys analysis, and their diagnostic potential was determined using NosIDsys and receiver operating characteristic curves. Results showed an efficient pattern recognition of invasive ductal carcinoma patients, with very high diagnostic performance [area under the curve (AUC): 0.93 and 95% confidence interval (CI): 0.917-0.947]. We achieved effective stage-specific differentiation of BrC patients from healthy controls with 82.3% specificity, 84.1% sensitivity, and 82.8% accuracy for stage 1 BrC and recognized hormone receptor-2 and lymph node invasion subtypes based on N-glycan profiles. Our novel technique supplements conventional diagnostic strategies for BrC detection and can be developed as an independent platform for BrC screening.

Purpose: Metformin and Houttuynia cordata are representative anti-diabetic therapeutic agents in western and oriental medicinal fields, respectively. The present study examined the therapeutic effects of houttuynia cordata extract (HCE) and metformin in combination in a dysmetabolic mouse model. Methods: Metabolic disorders were induced in C57BL/6J mice by high fat diet (HFD) for 14 weeks. Results: Combination of metformin and HCE significantly lowered body weight, abdominal fat, perirenal fat, liver and kidney weights, but did not change epididymal fat in HFD-fed animals. Metformin + HCE treatment markedly attenuated the elevated serum levels of TG, TC, AST, ALT, and endotoxin and restored the depleted HDL level. Both HCE and metformin + HCE treatment ameliorated glucose tolerance and high level of fasting blood glucose in association with AMPK activation. Moreover, treatment with HCE + metformin dramatically suppressed inflammation in HFD-fed animals via inhibition of proinflammatory cytokines (MCP-1 and IL-6) and LPS receptor (TLR4). Histopathological findings showed that exposure of HFD-treated animals to metformin + HCE ameliorated fatty liver, shrinkage of intestinal villi and adipocytes enlargement. Furthermore, HCE and metformin + HCE treatments markedly modulated the abundance of gut Gram-negative bacteria, including Escherichia coli and Bacteriodetes fragilis, but not universal Gram-positive bacteria. Conclusions: Overall, HCE and metformin cooperatively exert their therapeutic effects via modulation of gut microbiota, especially reduction of Gram-negative bacteria, resulting in alleviation of endotoxemia.

Several lines of evidence indicate that inflammatory bowel disease (IBD) is associated with Clostridium difficile (CD) infection as a consequence of gut dysbiosis. Currently available treatments of IBD are either not very effective or have adverse effects. Pyungwi-san (PWS), a traditional Chinese herbal formulation, has long been used to treat gastrointestinal disorders. The present study was conducted to investigate the efficacy of PWS against dextran sulfate sodium (DSS) + CD-induced IBD in mice. The animals received DSS in drinking water for seven days to produce DSS-induced acute colitis. In the DSS + CD group, the DSS-fed animals were orally administered with CD spores twice during the DSS treatment period. We observed that exposure of DSS + CD-treated animals to PWS significantly decreased the disease activity index, prevented the shortening of colonic length and increases in spleen size and weight, restored colonic histological parameters by significantly increasing mucus thickness, crypt depth, and goblet cell numbers, protected the tight junction proteins, improved the profiles of pro-inflammatory and anti-inflammatory cytokines, and normalized the abundance ratio of the Firmicutes/Bacteroidetes in the gut. Thus, PWS exerted a number of protective effects on DSS + CD-induced colitis, which might be mediated via restoration of a balance in gut microbial communities.

Hepatosteatosis (HS), a clinical feature of fatty liver with the excessive intracellular accumulation of triglyceride in hepatocytes, is manifested by perturbation of the maintenance of liver lipid homeostasis. Samjunghwan (SJH) is an herbal formula used mostly in Korean traditional medicine that is effective against a number of metabolic diseases, including obesity. Herbal drugs, enriched with numerous bioactive substances, possess health-protective benefits. Meanwhile, fermented herbal products enriched with probiotics are known to improve metabolic processes. Additionally, current lines of evidence indicate that probiotics-derived metabolites, termed as postbiotics, produce the same beneficial effects as their precursors. Herein, the anti-HS effects of 5-weeks naturally fermented SJH (FSJH) was investigated with FSJH-mixed chow diet in vivo using Otsuka Long-Evans Tokushima Fatty (OLETF) and Long-Evans Tokushima Otsuka (LETO) rats as animal models of HS and controls, respectively. In parallel, the anti-HS effects of postbiotic-metabolites of three bacterial strains [Lactobacillus brevis (LBB), Lactococcus lactis (LCL) and Lactobacillus plantarum (LBP)] isolated from FSJH were also evaluated in vitro using the FFAs-induced HepG2 cells. Feeding OLETF rats with FSJH-diet effectively reduced body, liver, and visceral adipose tissue (VAT) weights, produced marked hypolipidemic effects on serum and hepatic lipid parameters, decreased serum AST and ALT levels, and upregulated the HMGCOR, SREBP, and ACC, and downregulated the AMPK and LDLR gene expressions levels. Additionally, exposure of FFAs-induced HepG2 cells to postbiotic metabolic media (PMM) of bacterial strains also produced marked hypolipidemic effects on intracellular lipid contents and significantly unregulated the HMGCOR, SREBP, and ACC, and downregulated the AMPK and LDLR genes expressions levels. Overall, our results indicate that FSJH enriched with fermented metabolites could be an effective anti-HS formulation.

Purpose: Metformin and Houttuynia cordata are representative anti-diabetic therapeutic agents in western and oriental medicinal fields, respectively. The present study examined the therapeutic effects of houttuynia cordata extract (HCE) and metformin in combination in a dysmetabolic mouse model. Methods: Metabolic disorders were induced in C57BL/6J mice by high fat diet (HFD) for 14 weeks. Results: Combination of metformin and HCE significantly lowered body weight, abdominal fat, perirenal fat, liver and kidney weights, but did not change epididymal fat in HFD-fed animals. Metformin + HCE treatment markedly attenuated the elevated serum levels of TG, TC, AST, ALT, and endotoxin and restored the depleted HDL level. Both HCE and metformin + HCE treatment ameliorated glucose tolerance and high level of fasting blood glucose in association with AMPK activation. Moreover, treatment with HCE + metformin dramatically suppressed inflammation in HFD-fed animals via inhibition of proinflammatory cytokines (MCP-1 and IL-6) and LPS receptor (TLR4). Histopathological findings showed that exposure of HFD-treated animals to metformin + HCE ameliorated fatty liver, shrinkage of intestinal villi and adipocytes enlargement. Furthermore, HCE and metformin + HCE treatments markedly modulated the abundance of gut Gram-negative bacteria, including Escherichia coli and Bacteriodetes fragilis, but not universal Gram-positive bacteria. Conclusions: Overall, HCE and metformin cooperatively exert their therapeutic effects via modulation of gut microbiota, especially reduction of Gram-negative bacteria, resulting in alleviation of endotoxemia.

In Infrastructure-As-A-Service Computational Cloud, a set of resources is leased out depending upon the requirements. A resource provisioning algorithm carries out this task by considering some overall objectives of the system under consideration. The algorithm takes the specifications of the Virtual Machines required and the characteristics of the Physical Machines present in the Data Centers as input and produces an assignment of the Virtual Machines to the Physical Machines as output while considering the objective function. We design a Genetic Algorithm-based resource provisioning strategy which attempts to distribute the requests uniformly among the available Physical Machines so as to keep the load on the machines as uniform as possible.

Hepatosteatosis (HS), a clinical feature of fatty liver with the excessive intracellular accumulation of triglyceride in hepatocytes, is manifested by perturbation of the maintenance of liver lipid homeostasis. Samjunghwan (SJH) is an herbal formula used mostly in Korean traditional medicine that is effective against a number of metabolic diseases, including obesity. Herbal drugs, enriched with numerous bioactive substances, possess health-protective benefits. Meanwhile, fermented herbal products enriched with probiotics are known to improve metabolic processes. Additionally, current lines of evidence indicate that probiotics-derived metabolites, termed as postbiotics, produce the same beneficial effects as their precursors. Herein, the anti-HS effects of 5-weeks naturally fermented SJH (FSJH) was investigated with FSJH-mixed chow diet in vivo using Otsuka Long-Evans Tokushima Fatty (OLETF) and Long-Evans Tokushima Otsuka (LETO) rats as animal models of HS and controls, respectively. In parallel, the anti-HS effects of postbiotic-metabolites of three bacterial strains [Lactobacillus brevis (LBB), Lactococcus lactis (LCL) and Lactobacillus plantarum (LBP)] isolated from FSJH were also evaluated in vitro using the FFAs-induced HepG2 cells. Feeding OLETF rats with FSJH-diet effectively reduced body, liver, and visceral adipose tissue (VAT) weights, produced marked hypolipidemic effects on serum and hepatic lipid parameters, decreased serum AST and ALT levels, and upregulated the HMGCOR, SREBP, and ACC, and downregulated the AMPK and LDLR gene expressions levels. Additionally, exposure of FFAs-induced HepG2 cells to postbiotic metabolic media (PMM) of bacterial strains also produced marked hypolipidemic effects on intracellular lipid contents and significantly unregulated the HMGCOR, SREBP, and ACC, and downregulated the AMPK and LDLR genes expressions levels. Overall, our results indicate that FSJH enriched with fermented metabolites could be an effective anti-HS formulation.

In this paper we investigate the sustainability of sensor-cloud environment with privately owned mobile sensors. We present the results of the experiment that we have conducted with our sensors while driving for five and half hours to a rural village 216 kilo meter far from the city. Impact of mobility on transmission performance as well as on the sensed data has been studied.

In the present study, we synthesized a series of novel 7-methoxy-N-(substituted phenyl)benzofuran-2-carboxamide derivatives in moderate to good yields and evaluated their neuroprotective and antioxidant activities using primary cultured rat cortical neuronal cells and in vitro cell-free bioassays. Based on our primary screening data with eighteen synthesized derivatives, nine compounds (1a, 1c, 1f, 1i, 1j, 1l, 1p, 1q and 1r) exhibiting considerable protection against the NMDA-induced excitotoxic neuronal cell damage at the concentration of 100 μM were selected for further evaluation. Among the selected derivatives, compound 1f (with -CH3 substitution at R2 position) exhibited the most potent and efficacious neuroprotective action against the NMDA-induced excitotoxicity. Its neuroprotective effect was almost comparable to that of memantine, a well-known NMDA antagonist, at 30 μM concentration. In addition to 1f, compound 1j (with -OH substitution at R3 position) also showed marked anti-excitotoxic effects at both 100 and 300 μM concentrations. These findings suggest that -CH3 substitution at R2 position and, to a lesser degree, -OH substitution at R3 position may be important for exhibiting neuroprotective action against excitotoxic damage. Compound 1j was also found to scavenge 1,1-diphenyl-2-picrylhydrazyl radicals and inhibit in vitro lipid peroxidation in rat brain homogenate in moderate and appreciable degrees. Taken together, our structure-activity relationship studies suggest that the compound with -CH3 substitution at R2 and -OH substitution at R3 positions of the benzofuran moiety might serve as the lead exhibiting potent anti-excitotoxic, ROS scavenging, and antioxidant activities. Further synthesis and evaluation will be necessary to confirm this possibility.

The hepatoprotective effects of fermented black rice bran extracts (FF1 and FF2: black rice bran fermented by Lentinus edodes derived from mycelium supplemented with soybean or Hovenia dulcis) and their associated mechanisms were evaluated. In an in vitro experiment, FFs caused significant amelioration of the metabolic function of rat hepatocytes treated with NH4Cl. In addition, administration of FFs to rats with chronic liver injury induced by 12-week continual alcohol consumption resulted in significant restoration of body weight shrinkage, notable attenuation of excessive aspartate aminotransferase, alkaline phosphatase and endotoxin in serum, malondialdehyde in liver and the lactulose/mannitol ratio in urine. Furthermore, FF1 or FF2 also caused significant downregulation of gene expression of several critical inflammatory mediators (interleukin-6, tumor necrosis factor-alpha, cyclooxygenase-2 and inducible nitric oxide synthase). Histopathological findings also indicated that FFs reduced inflammation, necrosis and fatty infiltration in liver tissue. Taken together, FFs exert hepatoprotective effects through anti-inflammatory and anti-lipid peroxidative properties and regulation of intestinal permeability. Practical Applications In this study, mycelia fermentation was utilized as a feasible strategy for enhancing the hepatotherapeutic effect of black rice and herbs. The findings demonstrated that Hovenia dulcis exerts a synergistic protective effect on an alcoholic liver disease animal model and could provide a new effective potential approach to alleviate alcoholic liver diseases.

Microglial activation is known to cause inflammation resulting in neurotoxicity in several neurological diseases. N-((3,4-Dihydro-2H-benzo[h]chromene-2-yl)methyl)-4-methoxyaniline (BL-M), a chromene derivative, was originally synthesized with the perspective of inhibiting nuclear factor-kappa B (NF-κB), a key regulator of inflammation. The present study evaluated the antioxidant and anti-inflammatory potential of BL-M in lipopolysaccharide (LPS)-stimulated BV2 microglial cells. Our results demonstrated that BL-M significantly inhibited the formation of 1,1-diphenyl-2-picrylhydrazyl radicals, as well as lipid peroxidation in rat brain homogenate in a concentration-dependent manner. In addition, it suppressed the generation of intracellular reactive oxygen species, and the levels of pro-inflammatory mediators including nitric oxide, tumor necrosis factor-α, and interleukin-6 in LPS-induced BV2 cells. Western blotting analyses revealed the inhibition of inhibitor of kappa B alpha (IκBα) phosphorylation and NF-κB translocation by BL-M in LPS-activated cells. Therefore, our study highlights marked antioxidant and anti-inflammatory activities of BL-M, and suggests that this compound may have a beneficial impact on various neurodegenerative diseases associated with inflammation.

The gut microbiota is important in energy contribution, metabolism and immune modulation, and compositional disruption of the gut microbiota population is closely associated with chronic metabolic diseases like type 2 diabetes (T2D) and non-alcoholic fatty liver disease (NAFLD). Metformin (MET) and Flos Lonicera (FL) are common treatments for metabolic diseases in Western and Oriental medicinal fields. We evaluated the effect of treatment with FL and MET in combination on hepatosteatosis, glucose tolerance, and gut microbial composition. FL and MET were administered to Otsuka Long-Evans Tokushima Fatty (OLETF) rats, an animal model of genetic T2D and NAFLD. The FL+MET treatment reduced liver weight, serum cholesterol, insulin resistance, and hepatic MDA level and modulated the gut microbial composition. More specifically, the genera of Prevotella and Lactobacillus were negatively associated with the body and liver weights, hepatic TG and TC content, and serum insulin level. However, the relative abundance of these genera decreased in response to the FL+MET treatment. Interestingly, pathway prediction data revealed that the FL+MET treatment attenuated lipopolysaccharide-related pathways, in keeping with the decrease in serum and fecal endotoxin levels. FL and MET in combination exerts a synergistic effect on the improvement of hepatosteatosis and insulin sensitivity in OLETF rats, and modulates gut microbiota in association with the effect.

Samjunghwan (SJH) is an herbal formula used in traditional Korean medicine. This prescription has long been used in treatment of aging and lifestyle diseases. The current study showed the effect and mechanisms of anti-hepatic steatosis action of modified SJH (mSJH) in vitro and in vivo. Treatment with mSJH resulted in significantly decreased intracellular lipid accumulation in steatosis-induced cells. Furthermore, mSJH triggered the phosphorylation of AMP-activated protein kinase and acetyl-CoA carboxylase as well as increased the expression of leptin at both protein and gene levels. In addition, C57BL6 mice fed high-fat diet (HFD) showed significant improvements in body, liver weights and fat weights; and serum, hepatic and fecal lipid parameters in response to the treatment with mSJH. Furthermore, mSJH showed favorable effects on the hepatic expression of several genes related to lipid metabolism. Betaine, one of constituents of mSJH exerted fundamental beneficial impact on FFAs-induced cells. However, the beneficial effects of mSJH were diminished upon blocking of leptin signaling by dexamethasone, suggesting the leptin signaling as a key component in mSJH-mediated modulation of lipid homeostasis. Our results suggest that mSJH exerts an anti-hepatic steatosis effect via activation of leptin and associated signaling cascades related to lipid metabolism.

Obesity is known to be influenced by a number of genes, including the β3 subunit of G protein (GNB3), β3-adrenergic receptor (ADRB3), uncoupling protein 2 (UCP2), and peroxisome proliferator activated receptor gamma (PPARγ). The single nucleotide polymorphisms (SNPs) of the above genes, such as GNB3-C825T, ADRB3-Trp64Arg, UCP2-3′UTR 45 bp del/ins, and PPARγ-Pro12Ala, are associated with obesity and body mass index. The present study evaluates the impact of Bofutsushosan, a traditional Eastern Asian herbal medicine with known anti-obesity properties, on obese subjects according to the presence of the above-mentioned SNPs. Upon randomization, the volunteers were allocated to receive Bofutsushosan (n=55) or placebo (n=56) treatments for 8 weeks. Following the treatment schedule, significant reductions in total cholesterol and significant improvement in the Korean version of obesity-related quality of life scale were seen in the Bofutsushosan-treated group, but not in placebo. Bofutsushosan exerted significant anti-obesity effects on a number of parameters in the carriers of the GNB3-825T allele, but only on waist circumference in the GNB3-C/C homozygote. Significant anti-obesity impact of Bofutsushosan was also seen on a number of obesity-indices in both ADRB3-Arg64 carriers and ADRB3-Trp64 homozygotes, as well as in UCP2-D/D carriers, but not in UCP2-D/I+I/I variants. The effect of Bofutsushosan was more pronounced in PPARγ-Pro/Pro genotype compared to PPARγ-Pro/Ala variants. Thus, the results revealed differential responses of the subjects to the anti-obesity effects of Bofutsushosan treatment according to the polymorphism of the vital obesity-related genes. Our study provides new insight into individualized clinical applications of Bofutsushosan for obesity.