Immunological aspects of probiotics for improving skin diseases: Influence on the Gut-Brain-Skin Axis.

The interplay between gut microbiota and human health, both mental and physical, is well-documented. This connection extends to the gut-brain-skin axis, linking gut microbiota to skin health. Recent studies have underscored the potential of probiotics and prebiotics to modulate gut microbiota, supported by in vivo and clinical investigations. In this comprehensive review, we explore the immunological implications of probiotics in influencing the gut-skin axis for the treatment and prevention of skin conditions, including psoriasis, acne, diabetic ulcers, atopic dermatitis, and skin cancer. Our analysis reveals that probiotics exert their effects by modulating cytokine production, whether administered orally or topically. Probiotics bolster skin defenses through the production of antimicrobial peptides and the induction of keratinocyte differentiation and regeneration. Yet, many questions surrounding probiotics remain unanswered, necessitating further exploration of their mechanisms of action in the context of skin diseases.

Underwater Acoustic Signal Acquisition and Sensing Using a Ring Vector Sensor Communication Receiver: Theory and Experiments.

Signal acquisition and sensing in underwater systems and applications is typically a challenging issue due to the small signal strength within the background noise. Here, we present a ring vector sensor communication receiver that can significantly improve signal acquisition, by utilizing the underwater acoustic vector field components, compared to the scalar component. The vector sensor receiver is a multichannel receiver that measures particle velocities, which are vector components of the underwater acoustic field, in addition to the scalar field component. According to the combination of our measured experimental data with our signal acquisition performance analysis, the introduced ring vector sensor receiver exhibits higher signal acquisition probabilities for the vector components compared to the scalar component. This can be attributed to certain characteristics of the vector field components. Another advantage of this multichannel receiver is that combining all of its channels can further increase the signal acquisition and packet detection probability in underwater communication systems compared to a single-channel approach.

Learning feedback molecular network models using integer linear programming.

Analysis of intracellular molecular networks has many applications in understanding of the molecular bases of some complex diseases and finding effective therapeutic targets for drug development. To perform such analyses, the molecular networks need to be converted into computational models. In general, network models constructed using literature and pathway databases may not accurately predict experimental network data. This can be due to the incompleteness of literature on molecular pathways, the resources used to construct the networks, or some conflicting information in the resources. In this paper, we propose a network learning approach via an integer linear programming formulation that can systematically incorporate biological dynamics and regulatory mechanisms of molecular networks in the learning process. Moreover, we present a method to properly consider the feedback paths, while learning the network from data. Examples are also provided to show how one can apply the proposed learning approach to a network of interest. In particular, we apply the framework to the ERBB signaling network, to learn it from some experimental data. Overall, the proposed methods are useful for reducing the gap between the curated networks and experimental data, and result in calibrated networks that are more reliable for making biologically meaningful predictions.

Cytokine patterns in cystic fibrosis patients with different microbial infections in oropharyngeal samples.

BACKGROUND: Cytokines play a crucial role in the immune system's regulation by mediating protective responses to infections. anti-inflammatory and pro-inflammatory cytokines are in equilibrium. Therefore, any alteration in cytokine production or cytokine receptor expression might result in pathological illnesses and health issues. Cystic fibrosis (CF) is a genetic disease caused by mutations in the CF transmembrane regulator (CFTR) gene. Lung infection in these patients is related to chronic bacterial airway infection and inflammation, which is triggered by some inflammatory cytokines. Our goal was to compare the cytokine patterns in CF patient's serum and PBMCs caused by microbial pathogens that colonized their airways to controls. METHODS: ELISA and Real-time PCR were used to determine the levels of IL-10, IFN-γ, IL-4, TGF-ß, IL-8, and IL-17 in serum and PBMC cells. Blood parameters in both patients and healthy people were studied. RESULTS: An increase in IL-10, IFN-γ, IL-4 (p-v = 0.03, 0.024 and 0.003) levels and a decrease in IL-17 (p-v = 0.004) was found in Pseudomonas aeruginosa positive patients. There were no different in TGF-ß and IL-8 (p-value = 0.778 and 0.903) in this patients. IL-10, IFN-γ, and IL-4 (p-value = 0.023, 0.001 and 0.002) levels were high in Staphylococcus aureus positive patients and TGF-ß, IL-17, and IL-8 (p-value = 0.085, 0.167 and 0.362) were not significantly different in the patient and control groups. IFN-γ and IL-4 levels were higher in patients without infection who had normal microbiota (p-v = 0.002 and 0.024). In patients with P. aeruginosa, WBC and platelets increased, and MCH and MCV decreased. Patients with normal microbiota had less MCV. CONCLUSION: According to our research, patients with P. aeruginosa, S. aureus, and normal microbiota are exposed to cytokine alterations and changes in blood factors. The link between the CF patient's airway microbiota and the kind of generated cytokines might lead to the modulation of inflammatory cytokines alone or in combination with antibiotics, reducing disease-causing effects while avoiding drug resistance.

One step green synthesis of Cu nanoparticles by the aqueous extract of Juglans regia green husk: assessing its physicochemical, environmental and biological activities.

Juglans regia (J. regia) green husk is an abundant agricultural waste. In this study, an economical, rapid and green synthetic route was introduced for the biosynthesis of copper nanoparticles (CuNPs) by applying the aqueous extract of J. regia green husk at the ambient conditions. Ultra Violet-Visible (UV-Visible) analysis revealed that the Surface Plasmon Resonance (SPR) of the CuNP was 212 nm. The average hydrodynamic and metallic core diameters of the CuNPs were about 53-28 nm, respectively. X-ray Diffraction (XRD) analysis presented that the CuNPs were amorphous. The CuNPs exhibited the highest free radical 1,1-diphenyl-2-picryl-hydrazyl (DPPH) scavenging efficiency. These nanoparticles (NPs) showed antibacterial, antifungal and antibiofilm properties. They presented photocatalytic activity against Methyl Orange (MO). Besides, the potential of these NPs for the fast and precise colorimetric detection of Hg2+ was remarkable. The biosynthesized CuNPs are introduced as a multifunctional nanomaterial with various applications in medicine and environmental cases. The CuNPs were produced through an environmentally green process by the aqueous extract of dried J. regia green husk at the ambient condition. The CuNPs confirmed that this type of nanomaterial is a multifunctional agent with significant antibacterial, antifungal, antibiofilm, antioxidant, photocatalytic activities. Besides, it is a promising colorimetric sensor for the detection of Hg2+ in an aqueous complex media.

Computer Vision-Based Path Planning for Robot Arms in Three-Dimensional Workspaces Using Q-Learning and Neural Networks.

Computer vision-based path planning can play a crucial role in numerous technologically driven smart applications. Although various path planning methods have been proposed, limitations, such as unreliable three-dimensional (3D) localization of objects in a workspace, time-consuming computational processes, and limited two-dimensional workspaces, remain. Studies to address these problems have achieved some success, but many of these problems persist. Therefore, in this study, which is an extension of our previous paper, a novel path planning approach that combined computer vision, Q-learning, and neural networks was developed to overcome these limitations. The proposed computer vision-neural network algorithm was fed by two images from two views to obtain accurate spatial coordinates of objects in real time. Next, Q-learning was used to determine a sequence of simple actions: up, down, left, right, backward, and forward, from the start point to the target point in a 3D workspace. Finally, a trained neural network was used to determine a sequence of joint angles according to the identified actions. Simulation and experimental test results revealed that the proposed combination of 3D object detection, an agent-environment interaction in the Q-learning phase, and simple joint angle computation by trained neural networks considerably alleviated the limitations of previous studies.

Involvement of Pseudomonas aeruginosa in the occurrence of community and hospital acquired diarrhea, and its virulence diversity among the stool and the environmental samples.

Transmission of Pseudomonas aeruginosa along the food chain could cause gastrointestinal infections. To show this involvement, the prevalence, putative virulence genotype, and antibiotic resistance phenotype of P. aeruginosa isolates from stool of 1482 patients with community and hospital acquired diarrhea were compared with 87 isolates from the environmental samples. The results showed infection with P. aeruginosa in 3.4% of the cases, while 57.4% of vegetable samples were contaminated. Significantly higher frequency of lasB (98%), aprA (98%), exoY (98%), and exoS (90%), but lower rate of exoT (39.2%), was detected among the stool isolates. Multi-drug resistance (MDR) phenotype was detected in 25.5% and 4% of the stool and vegetable isolates, respectively. A higher rate of studied virulence genes was detected among the MDR strains vs non-MDR strains. These results indicate P. aeruginosa as a causative agent of diarrhea either among the hospitalized patients and those with community-acquired diarrhea.

Production of egg yolk antibody (IgY) against shiga-like toxin (stx) and evaluation of its prophylaxis potency in mice.

OBJECTIVE: Enterohemorrhagic Escherichia coli (E. coli O157: H7) is an enteric pathogen, transmitted through contaminated water and food. Pathogenic factors include bacterial adhesion, invasion of intestinal epithelial and epithelium cells. The pathogenicity of EHEC is due to the production of Shiga-like toxin (Stx). This toxin binds to the ribosome and inhibits the synthesis of proteins. EHEC causes hemorrhagic colitis (HC) and hemolytic uremic syndrome (HUS). The EHEC treatment with antibiotics leads to resistance. The best way to solve this problem is to use specific antibodies and prophylaxis. Egg yolk antibody (IgY) is a suitable method for prophylaxis. Hence, the aim of this study was to investigate the production of IgY against Stx toxin and its prophylaxis. RESULT: The produced antibodies were confirmed by SDS-PAGE and ELISA. IgY was obtained at a concentration of about 5 mg/ml (30 mg of each egg) and a purity of more than 90%. Toxin and antibody challenge was performed in mice. The obtained IgY was able to neutralize the effect of Stx at 2 mg/mice. CONCLUSION: This challenge showed that an antibody produced with an acceptable percentage was able to neutralize the effect of Stx.

Computation capacities of a broad class of signaling networks are higher than their communication capacities.

Due to structural and functional abnormalities or genetic variations and mutations, there may be dysfunctional molecules within an intracellular signaling network that do not allow the network to correctly regulate its output molecules, such as transcription factors. This disruption in signaling interrupts normal cellular functions and may eventually develop some pathological conditions. In this paper, computation capacity of signaling networks is introduced as a fundamental limit on signaling capability and performance of such networks. In simple terms, the computation capacity measures the maximum number of computable inputs, that is, the maximum number of input values for which the correct functional output values can be recovered from the erroneous network outputs, when the network contains some dysfunctional molecules. This contrasts with the conventional communication capacity that measures instead the maximum number of input values that can be correctly distinguished based on the erroneous network outputs. The computation capacity is higher than the communication capacity whenever the network response function is not a one-to-one function of the input signals, and, unlike the communication capacity, it takes into account the input-output functional relationships of the network. By explicitly incorporating the effect of signaling errors that result in the network dysfunction, the computation capacity provides more information about the network and its malfunction. Two examples of signaling networks are considered in the paper, one regulating caspase3 and another regulating NFκB, for which computation and communication capacities are investigated. Higher computation capacities are observed for both networks. One biological implication of this finding is that signaling networks may have more 'capacity' than that specified by the conventional communication capacity metric. The effect of feedback is studied as well. In summary, this paper reports findings on a new fundamental feature of the signaling capability of cell signaling networks.

Use of clodronate in the management of osteoarthritis: an update.

Osteoarthritis (OA) is a chronic rheumatic disease characterized by joint cartilage wear and loss of normal function. Clodronate (CLO) is a first-generation non-nitrogen-containing bisphosphonate that exerts anti-inflammatory and analgesic and modulatory effects on bone and cartilage metabolism. To date, few clinical studies have evaluated the effect of CLO in OA. Current evidence suggests that CLO may represent a new type of analgesic drug as it reduces pain in bone diseases characterized by edema such as Complex Regional Pain Syndrone type-1 and vertebral fractures. Thanks to its anti-inflammatory and analgesic effects, CLO has been shown to afford benefit in knee OA, erosive OA of the hand, painful knee hip prosthesis and veterinary practice. Transforming growth factor ß1 has also been found to play an important role in the pathogenesis of OA. The present review article examines recent evidence on the potential use of CLO in the treatment of OA.

Ecological role of Acinetobacter calcoaceticus GSN3 in natural biofilm formation and its advantages in bioremediation.

This study assessed the role of a new Acinetobacter calcoaceticus strain, GSN3, with biofilm-forming and phenol-degrading abilities. Three biofilm reactors were spiked with activated sludge (R1), green fluorescent plasmid (GFP) tagged GSN3 (R2), and their combination (R3). More than 99% phenol removal was achieved during four weeks in R3 while this efficiency was reached after two and four further operational weeks in R2 and R1, respectively. Confocal scanning electron microscopy revealed that GSN3-gfp strains appeared mostly in the deeper layers of the biofilm in R3. After four weeks, almost 7.07 × 107 more attached sludge cells were counted per carrier in R3 in comparison to R1. Additionally, the higher numbers of GSN3-gfp in R2 were unable to increase the efficiency as much as measured in R3. The presence of GSN3-gfp in R3 conveyed advantages, including enhancement of cell immobilization, population diversity, metabolic cooperation and ultimately treatment efficiency.

Bayesian coherent and incoherent matched-field localization and detection in the ocean.

Matched-field processing is applied to source localization and detection of sound sources in the ocean. The source spectrum is included in the set of unknown parameters and is estimated in the localization/detection process. Bayesian broadband (multi-tonal) incoherent and coherent processors are developed, integrating the source spectrum estimation using a Gibbs sampler and are first evaluated in source localization via point estimates and probability density functions obtained from synthetic signals. The coherent performance is superior to the incoherent one both in terms of source location estimates and density spread. The two processors are also applied to real data from the Hudson Canyon experiment. Subsequently, using Receiver Operating Characteristic (ROC) curves, the two processors are evaluated and compared in the task of joint detection and localization. The coherent detector/localization processor is superior to the incoherent one, especially as the number of frequencies increases. Joint detection and localization performance is evaluated with Localization-ROC curves.

Communication Rate Increase in Drill Strings of Oil and Gas Wells Using Multiple Actuators.

Wireless data communication and telemetry during drilling deep oil and gas wells are important enablers for safe and timely drilling operations. The transmission of information through drill strings and pipes using sound waves is a useful and practical approach. However, given the limited available bandwidth, transmission rates are typically smaller than what is needed. In this paper, a new method and system are proposed to increase the transmission rate over the same bandwidth, by deploying more than one actuator. Upon using multiple actuators, several data streams can be transmitted simultaneously. This increases the data rate without the need for additional bandwidth. The experimental results of a testbed with two actuators are presented, where the transmission rate is doubled with no bandwidth increase. A strain sensor receiver and accelerometer receivers are used to separate and demodulate the two data streams. It is demonstrated that it is possible to recover the data in the new faster system benefiting from two actuators, while having about the same bit error probability performance as a one-actuator system. Various combinations of strain and acceleration sensors are considered at the receive side. Due to some properties of strain channels (e.g., smaller delay spreads and their less-frequency-selective behavior) presented in this paper, it appears that a strain sensor receiver and an accelerometer receiver together can offer a good performance when separating and demodulating the two actuators' data in the testbed. Overall, the experimental results from the proposed system suggest that upon using more than one actuator, it is feasible to increase the data rate over the limited bandwidth of pipes and drill strings.

Computation and measurement of cell decision making errors using single cell data.

In this study a new computational method is developed to quantify decision making errors in cells, caused by noise and signaling failures. Analysis of tumor necrosis factor (TNF) signaling pathway which regulates the transcription factor Nuclear Factor κB (NF-κB) using this method identifies two types of incorrect cell decisions called false alarm and miss. These two events represent, respectively, declaring a signal which is not present and missing a signal that does exist. Using single cell experimental data and the developed method, we compute false alarm and miss error probabilities in wild-type cells and provide a formulation which shows how these metrics depend on the signal transduction noise level. We also show that in the presence of abnormalities in a cell, decision making processes can be significantly affected, compared to a wild-type cell, and the method is able to model and measure such effects. In the TNF-NF-κB pathway, the method computes and reveals changes in false alarm and miss probabilities in A20-deficient cells, caused by cell's inability to inhibit TNF-induced NF-κB response. In biological terms, a higher false alarm metric in this abnormal TNF signaling system indicates perceiving more cytokine signals which in fact do not exist at the system input, whereas a higher miss metric indicates that it is highly likely to miss signals that actually exist. Overall, this study demonstrates the ability of the developed method for modeling cell decision making errors under normal and abnormal conditions, and in the presence of transduction noise uncertainty. Compared to the previously reported pathway capacity metric, our results suggest that the introduced decision error metrics characterize signaling failures more accurately. This is mainly because while capacity is a useful metric to study information transmission in signaling pathways, it does not capture the overlap between TNF-induced noisy response curves.

Highly efficient phenol degradation in a batch moving bed biofilm reactor: benefiting from biofilm-enhancing bacteria.

In this study, the efficiency improvement of three moving bed biofilm reactors (MBBRs) was investigated by inoculation of activated sludge cells (R1), mixed culture of eight strong phenol-degrading bacteria consisted of Pseudomonas spp. and Acinetobacter spp. (R2) and the combination of both (R3). Biofilm formation ability of eight bacteria was assessed initially using different methods and media. Maximum degradation of phenol, COD, biomass growth and also changes in organic loading shock were used as parameters to measure the performance of reactors. According to the results, all eight strains were determined as enhanced biofilm forming bacteria (EBFB). Under optimum operating conditions, more than 90% of initial COD load of 2795 mg L-1 was reduced at 24 HRT in R3 while this reduction efficiency was observed in concentrations of 1290 mg L-1 and 1935 mg L-1, in R1 and R2, respectively. When encountering phenol loading shock-twice greater than optimum amount-R1, R2 and R3 managed to return to the steady-state condition within 32, 24 and 18 days, respectively. SEM microscopy and biomass growth measurements confirmed the contribution of more cells to biofilm formation in R3 followed by R2. Additionally, established biofilm in R3 was more resistant to phenol loading shock which can be attributed to the enhancer role of EBFB strains in this reactor. It has been demonstrated that the bacteria with both biofilm-forming and contaminant-degrading abilities are not only able to promote the immobilization of other favorable activated sludge cells in biofilm structure, but also cooperate in contaminant degradation which all consequently lead to improvement of treatment efficiency.

CLODRONATE: OLD DRUG, NEW USES.

Clodronate (CLO) is a bisphosphonate (BP) with proved efficacy in the treatment of osteoporosis. The reason of its activity is the anti-resorptive action, which is a common characteristic of BPs. Contrary to other BPs, CLO has a relatively low affinity for bone and a peculiar mechanism of action. CLO is effective in several diseases associated to excessive bone resorption as bone Paget’s disease and CRPS type I. Moreover, there are data showing activity of CLO in the erosive osteoarthritis of the hands, in the osteoarthritis of the knees, in the treatment of extra-articular calcifications and in preventing the mobilization of knee and hip prosthesis.

Effect of depth of general anesthesia on the threshold of electrically evoked compound action potential in cochlear implantation.

The purpose of the present study was to evaluate effect of depth of general anesthesia on the threshold of electrically evoked compound action potential in cochlear implantation. A prospective clinical study in a single-subject design was conducted in the cochlear implant center of a tertiary care University-based hospital. Sixty-one cochlear-implanted children with bilateral, severe to profound sensory neural hearing loss were enrolled in the study. During the operation electrically evoked compound action potentials (e-ECAP) were measured in two phase of general anesthesia; in deep and in light anesthesia. Thresholds of e-ECAP in these two phases of anesthesia were compared. Thirty-one children received HiRes90k1j prosthesis and 30 children received CI24RE prosthesis. Thresholds difference of electrically evoked compound action potential between light and deep anesthesia in all tested electrodes in either group were statistically significant (P < 0.001). Non-measurable e-ECAP in some electrodes at deep anesthesia was measurable in light phase of anesthesia. Depth of anesthesia can have significant influence on e-ECAP threshold and it is important to reduce the depth of anesthesia to achieve better results.

25-Hydroxyvitamin D status, arterial stiffness and the renin-angiotensin system in healthy humans.

Vitamin D deficiency is associated with increased arterial stiffness. We sought to clarify the influence of vitamin D in modulating angiotensin II-dependent arterial stiffness. Thirty-six healthy subjects (33 ± 2 years, 67% female, mean 25-hydroxyvitamin D 69 ± 4 nmol/L) were studied in high salt balance. Arterial stiffness, expressed as brachial pulse wave velocity (bPWV) and aortic augmentation index (AIx), was measured by tonometry at baseline and in response to angiotensin II infusion (3 ng/kg/min × 30 min then 6 ng/kg/min × 30 min). The primary outcome was change in bPWV after an angiotensin II challenge. Results were analyzed according to plasma 25-hydroxyvitamin D status: deficient (<50 nmol/L) and sufficient (≥ 50 nmol/L). There were no differences in baseline arterial stiffness between vitamin D deficient (25-hydroxyvitamin D 40 ± 2 nmol/L) and sufficient (25-hydroxyvitamin D 80 ± 4 nmol/L) groups. Compared with sufficient vitamin D status, vitamin D deficiency was associated with a decreased arterial response to angiotensin II challenge (Δbrachial pulse wave velocity: 0.48 ± 0.44 m/s versus 1.95 ± 0.22 m/s, p=0.004; Δaortic augmentation index: 9.4 ± 3.4% versus 14.2 ± 2.7%, p=0.3), which persisted for brachial pulse wave velocity response after adjustment for covariates (p=0.03). Vitamin D deficiency is associated with increased arterial stiffness in healthy humans, possibly through an angiotensin II-dependent mechanism.

Clarithromycin in rheumatoid arthritis: the addition to methotrexate and low-dose methylprednisolone induces a significant additive value--a 24-month single-blind pilot study.

UNLABELLED: To compare the efficacy of the addition of clarithromycin (CM) to methotrexate (MTX) and methylprednisolone (MP) in active rheumatoid arthritis (RA). 32 patients with RA consecutively randomized. CONTROL GROUP: sixteen patients treated for 24 months with MTX 10-15 mg i.m. weekly and MP 4-6 mg daily. CM group: sixteen patients treated with MTX 10-15 mg i.m. weekly and MP 4-6 mg daily for 24 months; CM therapy added in the first month (500 mg twice a day for the first 15 days followed by 500 mg a day for the remaining 15 days). Evaluation of the improvement following ACR criteria was performed at months 1 (primary endpoint), 3 and 6. Patients were furthermore observed after 12, 18 and 24 months from the study beginning. At month 1, following ACR70 improvement criteria, we found a significant additive value in CM group (10/16 = 63% vs 4/16 = 25%, p = 0.033--chi-square test). After discontinuation of CM, the difference between groups was anymore evident (month 3: CM group 10/16 = 63% vs control group 9/16 = 56%). At month 24, 7/16 (44%) in control group and 12/16 (75%) in CM group completed the follow-up. The addition of CM to MTX and MP can induce the remission ACR 70 in the majority of RA patients within 4 weeks, while MTX and MP alone need about 3 months to achieve the same result.