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The assessment and management of urologic chronic pelvic pain syndrome (UCPPS), is controversial. It is classified by voiding symptoms, pelvic pain, and bladder pain, which is weekly treated, weekly understood, and bothersome. In the aspect of clinical efforts and research to help people with this syndrome have been hampered by the deficiency of a widely reliable, accepted, and a valuable tool to evaluate the patient symptoms and quality of life (QoL) impact. However, the etiology comes into sight is multifactorial, and available treatment options have been imprecise considerably in present years. We compiled the published literature on the assessment of the syndrome, a tentative role of pharmacological and non-pharmacological (conservative, alternative, and invasive therapy) interventions in eradicating the disease as well as improving symptoms. The previously published literature on animal models has established the association of immune systems in the etiology, pathogenesis, and progression of the disease. The UPOINT system for clinical phenotyping of UCPPS patients has six predefined domains that direct multimodal therapy, which would lead to significant symptom improvement in the medical field. The narrative review aims to scrutinize the fluctuating scientist’s views on the evaluation of patient and multimodal treatment of the UPOINT system.

Monitoring hepatocyte proliferation in situ following partial hepatectomy is widely used to characterize cytokines, growth factors and signaling molecules and pathways as well as the regulatory mechanisms involved in liver regeneration. Periodic measurement of the liver/body mass ratio estimates the rate of liver regeneration, which is often supplemented by evaluating the proportion of proliferating hepatocytes using a synthetic nucleoside analog such as 5-bromo-2'-deoxyuridine (BrdU) or the nuclear accumulation of proliferating cell nuclear antigen (PCNA) in proliferating cells. The introduction of the thymidine analog 5-ethynyl-2'deoxyuridine (EdU) and its detection by "click chemistry" using fluorescently labeled reagents has simplified the evaluation of live cell proliferation as it eliminates certain limitations of antibody-mediated detection of BrdU. Here, we describe the EdU-based measurement of hepatocyte proliferation during liver regeneration and correlate the results with that of Ki67 and PCNA-based assays.

Suppressor of Cytokine Signaling 1 (SOCS1) functions as a tumor suppressor in hepatocellular carcinoma and many other types of cancers. SOCS1 mediates its functions by inhibiting tyrosine kinases, promoting ubiquitination and proteasomal degradation of signal transducing proteins, and by modulating transcription factors. Here, we studied the impact of SOCS1 on the hepatocyte proteome using Stable Isotopic Labelling of Amino acids in Cell culture (SILAC)-based mass spectrometry on the Hepa1-6 murine HCC cell line stably expressing wildtype SOCS1 or a mutant SOCS1 with impaired SH2 domain. As SOCS1 regulates the hepatocyte growth factor (HGF) receptor, the MET receptor tyrosine kinase (RTK), the SILAC-labelled cells were stimulated or not with HGF. Following mass spectrometry analysis, differentially modulated proteins were identified, quantified and analyzed for pathway enrichment. Of the 3440 proteins identified in Hepa-SOCS1 cells at steady state, 181 proteins were significantly modulated compared to control cells. The SH2 domain mutation and HGF increased the number of differentially modulated proteins. Protein interaction network analysis revealed enrichment of SOCS1-modulated proteins within multiprotein complexes such as ubiquitin conjugating enzymes, proteasome, mRNA spliceosome, mRNA exosome and mitochondrial ribosome. Notably, the expression of UBE2D ubiquitin conjugating enzyme, which is implicated in the control of growth factor receptor tyrosine kinase signaling, was found to be regulated by SOCS1. These findings suggest that SOCS1, induced by cytokines, growth factors and diverse other stimuli, has the potential to dynamically modulate of large macromolecular regulatory complexes to help maintain cellular homeostasis.

Pongamia pinnata (L.) Pierre (Pongamia) is a tree native to Southeast Asia. Recently, interest in Pongamia focused on its potential as a biofuel source as its seeds contain around 40% oil. However, Pongamia has multiple applications beyond biofuel production. It is a legume, can form symbiotic associations with mycorrhizal fungi, has been shown to be tolerant to drought, salinity, and heavy metals in soil, and has potential to mitigate climate change. Additionally, Pongamia oil has medicinal properties, can be used as biopesticide, insect repellent, to produce soap, and as a source of edible grade vegetable oil. The seed cake can be used as a source of bioenergy, food and feed protein, and organic fertiliser, and the flowers are a good source of pollen and nectar. Pongamia can also bring socio-economic benefits as its ability to restore degraded and contaminated land provides opportunities for local communities through novel valorisation pathways. These multiple applications have potential to form part of a circular bioeconomy in line with sustainable development goals. Although research on the multiple applications of Pongamia has grown considerably, knowledge gaps remain. Here, we critically review the available literature on Pongamia and highlight gaps in knowledge in which future research should focus on to ensure that the full potential of this versatile tree can be achieved. We argue that harnessing the multiple applications of Pongamia in a holistic manner, with collaboration among key stakeholders, is crucial for the successful application of its benefits far beyond biofuel production.

We present the design and baseline results for a new challenge in the ChaLearn meta-learning series, accepted at NeurIPS'22, focusing on "cross-domain" meta-learning. Meta-learning aims to leverage experience gained from previous tasks to solve new tasks efficiently (i.e., with better performance, little training data, and/or modest computational resources). While previous challenges in the series focused on within-domain few-shot learning problems, with the aim of learning efficiently N-way k-shot tasks (i.e., N class classification problems with k training examples), this competition challenges the participants to solve "any-way" and "any-shot" problems drawn from various domains (healthcare, ecology, biology, manufacturing, and others), chosen for their humanitarian and societal impact. To that end, we created Meta-Album, a meta-dataset of 40 image classification datasets from 10 domains, from which we carve out tasks with any number of "ways" (within the range 2-20) and any number of "shots" (within the range 1-20). The competition is with code submission, fully blind-tested on the CodaLab challenge platform. The code of the winners will be open-sourced, enabling the deployment of automated machine learning solutions for few-shot image classification across several domains., Comment: Meta-Knowledge Transfer/Communication in Different Systems, Sep 2022, Grenoble, France

Benign prostatic hyperplasia (BPH) is a common disease that can cause uncomfortable lower urinary tract symptoms. The occurrence of symptomatic BPH develops after the age of 40 years and increases gradually with age to reach more than 50% at the age of 60 years and severely disturbs the quality of life of the patients. Alpha-blockers and 5‑alpha reductase inhibitors are first-line agents used for the treatment of BPH. Due to the adverse effects of these conventional therapies, many patients turn to phytotherapy and other alternative therapies. This review covers alternative therapies, i.e., phytotherapy (cernilton, eviprostat, quercetin, saw palmetto and pumpkin seed) and physical therapy (acupuncture, aquablation, pulsed electromagnetic field, prostate urethral lift, radial extracorporeal shock wave therapy, thermobalancing therapy, and transurethral needle ablation) commonly used in the management of BPH.

Antibody–drug conjugates (ADC) are one of the fastest growing anticancer drugs. This approach comprises a mAb conjugated to the cytotoxic payload via a chemical linker that directed toward a target antigen expressed on the cancer cell surface, reducing systemic exposure and therefore toxicity. ADCs are complex molecules that require careful attention to various components. Selection of an appropriate target, an mAb, cytotoxic payload, and the manner in which the antibody is linked to the payload are key determinants of the safety and efficacy of ADCs. This review provides an overview of the systemic evaluation of each component of an ADC design, improved understanding of the mechanism of action of ADC, and mechanistic pathways involved in ADC resistance and various strategies to optimize ADC design. Moreover, this review also shed light on the current status of ADCs that have gained regulatory approval from the FDA including a description of biology and chemistry, metabolic profiles, adverse events, drug interactions, and the future perspective on combination strategies with other agents, including immunotherapy.

The work reported here utilizes the best aspects of information theory and deep-learning concepts so as to provide, for the first time, a solution for a real-world location verification system (LVS) in the context of vehicular networks. it is well established that global positioning system coordinates supplied by vehicles will be a vital component of such emerging networks. This supplied location information, if erroneous and not verified, can seriously degrade the overall system performance and lead to significant safety issues. A number of location verification protocols and systems have been developed to address this important problem but all have operational constraints and performance limitations due to their requirement for ideal static channel conditions and assumed threat models. In this article, we remove such limitations by designing a neural-network-based LVS (NN-LVS) that can accommodate a priori unknown channel conditions and unknown threat models. Under most channel conditions, the NN-LVS shows a performance improvement of 50%, or more, relative to other LVSs. We also derive a new information-theoretic bound on the total error for an LVS and show how this new bound allows for a useful tradeoff in learning-time versus verification-performance for the NN-LVS. We demonstrate an improved performance for the NN-LVS within the context of vehicular networks using time of arrival measurements of the vehicles’ transmitted signals measured at multiple verifying base stations. The work reported here, we believe, paves the way to the actual deployment in real-world conditions of LVSs for emerging vehicular networks.

The exact etiology and pathogenesis of chronic prostatitis (CP/CPPS) remain unclear. However, autoimmunity is a widely known theory. Precise treatment of CP/CPPS is not available. Here, we developed a new effective treatment method to prevent the occurrence of CP/CPPS. A total of 40 male C57BL/6 mice were randomly divided into four groups (n = 10): i.e., naive, model, high-dose (500 μg/ml), and low-dose (50 μg/ml) groups. High-dose and low-dose groups were orally given 0.4 ml of T2-containing soybean trypsin inhibitor (STI) at once after every 2 days for a total of 10 days. On day 10 and day 24 all the groups except naive group were subcutaneously injected with 0.2 ml of T2 peptide along with CFA to make valid CP/CPPS models. Hematoxylin and eosin staining were used to evaluate the variation in CP/CPPS manifestation. Voiding behavior was recorded for the evaluation of urine frequencies. ELISA was used to measure the serum level of TNF-α in each group. The high- and low-dose groups of T2-containing STI displayed a reduction in urine frequencies, and inflammation, and there was a slight inflammatory infiltration as compared to the model group. In contrast, there was no difference observed in the TNF-α concentration of model as well as high- and low-dose groups compared to the naive group. Our study demonstrates that oral T2-containing STI prevents CP/CPPS and provides an effective approach for the treatment of CP/CPPS.

The frequently studied polysaccharide, chitosan oligosaccharide/chitooligosaccharide (COS) is the major degradation product of chitosan/chitin via chemical hydrolysis or enzymatic degradation involving deacetylation and depolymerization processes. Innumerable studies have revealed in the recent decade that COS has various promising biomedical implications in the past analysis, current developments and potential applications in a biomedical, pharmaceutical and agricultural sector. Innovations into COS derivatization has broadened its application in cosmeceutical and nutraceutical productions as well as in water treatment and environmental safety. In relation to its parent biomaterials and other available polysaccharides, COS has low molecular weight (Mw), higher degree of deacetylation (DD), higher degree of polymerization (DP), less viscous and complete water solubility, which endowed it with significant biological properties like antimicrobial, antioxidant, anti-inflammatory and antihypertensive, as well as drug/DNA delivery ability. In addition, it is also revealed to exhibit antidiabetic, anti-obesity, anti-HIV-1, anti-Alzheimer's disease, hypocholesterolemic, calcium absorption and hemostatic effects. Furthermore, COS is shown to have higher cellular transduction and completely absorbable via intestinal epithelium due to its cationic sphere exposed on the more exposed shorter N-glucosamine (N-Glc) units. This paper narrates the recent developments in COS biomedical applications while paying considerable attention to its physicochemical properties and its chemical composition. Its pharmacokinetic aspects are also briefly discussed while highlighting potential overdose or lethal dosing. In addition, due to its multiple NGlc unit composition and vulnerability to degradation, its safety is given significant attention. Finally, a suggestion is made for extensive study on COS anti-HIV effects with well-refined batches.

Additional file 4: Impact of CaSR variant in family KS-72 on the canonical and alternative CaSR transcripts.

Additional file 6: Genetic description and clinical data of families with calcium-sensing receptor (CaSR) variants of unknown significance.

Additional file 3: Comparison of the canonical and alternative CaSR transcripts.

Additional file 5: Primers sequence used for CaSR screening in nephrolithiasis patients.

Additional file 1: Flow diagram of genetic variant filtering analysis.

Additional file 7: Allele frequency of NL-associated rare CaSR variants in South Asian and other populations of public genome databases.

This study aims to evaluate the feasibility and cardio-protective effects of biocompatible silicon-built restraint device (ASD) in the rat's heart failure (HF) model. The performance and compliance characteristics of the ASD device were assessed in vitro by adopting a pneumatic drive and ball burst test. Sprague-Dawley (SD) rats were divided into four groups (n = 6); control, HF, HF + CSD, and HF + ASD groups, respectively. Heart failure was developed by left anterior descending (LAD) coronary artery ligation in all groups except the control group. The ASD and CSD devices were implanted in the heart of HF + ASD and HF + CSD groups, respectively. The ASD's functional and expansion ability was found to be safe and suitable for attenuating ventricular remodeling. ASD-treated rats showed normal heart rhythm, demonstrated by smooth -ST and asymmetrical T-wave. At the same time, hemodynamic parameters of the HF + ASD group improved systolic and diastolic functions, reducing ventricular wall stress, which indicated reverse remodeling. The BNP values were reduced in the HF + ASD group, which confirmed ASD feasibility and reversed remodeling at a molecular level. Furthermore, the HF + ASD group with no fibrosis suggests that ASD has significant curative effects on the heart muscles. In conclusion, ASD was found to be a promising restraint therapy than the previously standard restraint therapies. Stepwise ASD fabrication process (a) 3D computer model of ASD was generated by using Rhinoceros 5.0 software (b) 3D blue wax model of ASD (c) Silicon was prepared by mixing the solutions (as per manufacturer instruction) (d) Blue wax model of ASD was immersed into liquid Silicon (e) ASD model was put into the oven for 3 hours at 50 °C. (f) Blue wax started melting from the ASD model (g) ASD model was built from pure silicon (h) Two access lines were linked to the ASD device, which was connected with an implantable catheter (Port-a-cath), scale bar 100 µm. (Nikon Ldx 2.0).

Suppressor of Cytokine Signaling 1 (SOCS1) functions as a tumor suppressor in hepatocellular carcinoma (HCC) and many other types of cancers. SOCS1 mediates its functions by inhibiting tyrosine kinases, promoting ubiquitination and proteasomal degradation of signal transducing proteins, and by modulating transcription factors. Here, we studied the impact of SOCS1 on the hepatocyte proteome using Stable Isotopic Labelling of Amino acids in Cell culture (SILAC)-based mass spectrometry on the Hepa1-6 murine HCC cell line stably expressing wildtype SOCS1 or a mutant SOCS1 with impaired SH2 domain. As SOCS1 regulates the hepatocyte growth factor (HGF) receptor MET, the SILAC-labelled cells were stimulated or not with HGF. Following mass spectrometry analysis, differentially modulated proteins were identified, quantified and analyzed for pathway enrichment. Of the 3440 proteins identified in Hepa-SOCS1 cells at steady state, 181 proteins were significantly modulated compared to control cells. The SH2 domain mutation and HGF increased the number of differentially modulated proteins. Protein interaction network analysis revealed enrichment of SOCS1-modulated proteins within multiprotein complexes such as ubiquitin conjugating enzymes, proteasome, mRNA spliceosome, mRNA exosome and mitochondrial ribosome. These findings suggest that SOCS1, induced by cytokines, growth factors and diverse other stimuli, may dynamically modulate of large macromolecular regulatory complexes to help maintain cellular homeostasis. Notably, the expression of UBE2D ubiquitin conjugating enzyme, which is implicated in the control of growth factor receptor tyrosine kinase signaling, was found to be regulated by SOCS1.

Background SOCS1 and SOCS3 genes are considered tumor suppressors in hepatocellular carcinoma (HCC) due to frequent epigenetic repression. Consistent with this notion, mice lacking SOCS1 or SOCS3 show increased susceptibility to diethylnitrosamine (DEN)-induced HCC. As SOCS1 and SOCS3 are important regulators of cytokine and growth factor signaling, their loss could activate oncogenic signaling pathways. Therefore, we examined the correlation between SOCS1/SOCS3 and key oncogenic signaling pathway genes as well as their prognostic significance in HCC. Methods The Cancer Genome Atlas dataset on HCC comprising clinical and transcriptomic data was retrieved from the cBioportal platform. The correlation between the expression of SOCS1 or SOCS3 and oncogenic pathway genes was evaluated using the GraphPad PRISM software. The inversely correlated genes were assessed for their impact on patient survival using the UALCAN platform and their expression quantified in the regenerating livers and DEN-induced HCC tissues of mice lacking Socs1 or Socs3. Finally, the Cox proportional hazards model was used to evaluate the predictive potential of SOCS1 and SOCS3 when combined with the genes of select oncogenic signaling pathways. Results SOCS1 expression was comparable between HCC and adjacent normal tissues, yet higher SOCS1 expression predicted favorable prognosis. In contrast, SOCS3 expression was significantly low in HCC, yet it lacked predictive potential. The correlation between SOCS1 or SOCS3 expression and key genes of the cell cycle, receptor tyrosine kinase, growth factor and MAPK signaling pathways were mostly positive than negative. Among the negatively correlated genes, only a few showed elevated expression in HCC and predicted survival. Many PI3K pathway genes showed mutual exclusivity with SOCS1 and/or SOCS3 and displayed independent predictive ability. Among genes that negatively correlated with SOCS1 and/or SOCS3, only CDK2 and AURKA showed corresponding modulations in the regenerating livers and DEN-induced tumors of hepatocyte-specific Socs1 or Socs3 deficient mice and predicted patient survival. The Cox proportional hazards model identified the combinations of SOCS1 or SOCS3 with CXCL8 and DAB2 as highly predictive. Conclusions SOCS1 expression in HCC has an independent prognostic value whereas SOCS3 expression does not. The predictive potential of SOCS1 expression is increased when combined with other oncogenic signaling pathway genes.

The assessment and management of urologic chronic pelvic pain syndrome (UCPPS), is controversial. It is categorized by voiding symptoms, pelvic pain, and bladder pain, which is weekly treated, weekly understood, and bothersome. In the aspect of clinical efforts and research to help people with this syndrome have been hampered by the deficiency of a widely reliable, accepted, and a valuable tool to evaluate the patient symptoms and quality of life (QoL) impact. However, the etiology comes into sight is multifactorial, and available treatment options have been imprecise considerably in present years. We compiled the published literature on the assessment of the syndrome, a tentative role of pharmacological and non-pharmacological (conservative, alternative, and invasive therapy) interventions in eradicating the disease as well as improving symptoms. The previously published literature on animal models has established the association of immune systems in the etiology, pathogenesis, and progression of the disease. The UPOINT system for clinical phenotyping of UCPPS patients has six predefined domains that direct multimodal therapy, which would lead to significant symptom improvement in the medical field. The narrative review aims to scrutinize the fluctuating scientist’s views on the evaluation of patient and multimodal treatment of the UPOINT system.

Suppressor of cytokine signaling (SOCS) proteins SOCS1 and SOCS3 are considered tumor suppressors in liver hepatocellular carcinoma (LIHC). To gain insight into the underlying molecular mechanisms, the expression of SOCS1/ SOCS3 was evaluated in The Cancer Genome Atlas LIHC dataset along with key oncogenic signaling pathway genes. SOCS1 expression was not significantly reduced in HCC yet higher expression predicted favorable prognosis, whereas SOCS3 lacked predictive potential despite lower expression. Only a small proportion of the cell cycle, receptor tyrosine kinase, growth factor and RAS-RAF-MEK-MAPK signaling genes negatively correlated with SOCS1 or SOCS3, of which even fewer showed elevated expression in HCC and predicted survival. However, many PI3K-AKT-MTOR pathway genes showed mutual exclusivity with SOCS1/SOCS3 and displayed independent predictive ability. Among genes that negatively correlated with SOCS1/SOCS3, CDK2, MLST8, AURKA, MAP3K4 and RPTOR showed corresponding modulations in the livers of mice lacking Socs1 or Socs3 during liver regeneration and in experimental HCC, and in Hepa1-6 murine HCC cells overexpressing SOCS1/SOCS3. However, Cox proportional hazards model identified CXCL8, DAB2 and PIK3R1 as highly predictive in combination with SOCS1 or SOCS3. These data suggest that developing prognostic biomarkers and precision treatment strategies based on SOCS1/SOCS3 expression need careful testing in different patient cohorts.

The superiority of nanomedicine over conventional medicines in the treatment of cancer has gained immediate recognition worldwide. As traditional cancer therapies are nonspecific and detrimental to healthy cells, the ability of nanomedicine to release drugs to target tumor cells specifically instead of healthy cells has brought new hope to cancer patients. This review focuses on the effects of various factors of nanoparticles such as transport, concentration in cells, tumor microenvironment, interaction with protein, penetration, uptake by tumor cells, cancer cell mutations, and intracellular trafficking of the nanoparticle. Besides the history of nanomedicine, future perspectives of nanomedicines are also explored in this text.

Additional file 1: Figure S1. Workflow of this study. Figure S2. Expression of oncogenic signaling pathway genes that synergize with SOCS1 or SOCS3 in predicting prognosis by the Cox proportional harzards model in the murine models. DAB2 and CXCL8 synergize with SOCS1 or SOCS3 in predicting prognosis by the Cox proportional harzards model (shown in Table 2). As the CXCL8 (IL-8) gene is not present in the mouse, we examined the genes coding for mouse chemokines KC (Cxcl1), MIP-2 (Cxcl2) and LIX (Cxcl2), which are considered the functional equivalent of human CXCL8 in promoting neutrophil migration.(A) Partial hepatectomy was carried out on 8–10 weeks old mice lacking Socs1 or Socs3 in hepatocytes and control mice. The expression of the indicated genes in the regenerating livers was evaluated 24 h later by qRT-PCR. n = 4–6 mice per group. (B) Mice lacking Socs1 or Socs3 in hepatocytes and control mice were treated with DEN (25 mg/kg body weight) at 2 weeks of age and livers collected at 8–10 months of age. Tumor nodules and adjacent normal liver tissues were resected and expression of the indicated genes was evaluated by qRT-PCR. n = 4–6 mice per group. p-values were calculated by one-way ANOVA along with Tukey’s Multiple Comparison test: * p

Intelligent video-surveillance (IVS) is currently an active research field in computer vision and machine learning and provides useful tools for surveillance operators and forensic video investigators. Person re-identification (PReID) is one of the most critical problems in IVS, and it consists of recognizing whether or not an individual has already been observed over a camera in a network. Solutions to PReID have myriad applications including retrieval of video-sequences showing an individual of interest or even pedestrian tracking over multiple camera views. Different techniques have been proposed to increase the performance of PReID in the literature, and more recently researchers utilized deep neural networks (DNNs) given their compelling performance on similar vision problems and fast execution at test time. Given the importance and wide range of applications of re-identification solutions, our objective herein is to discuss the work carried out in the area and come up with a survey of state-of-the-art DNN models being used for this task. We present descriptions of each model along with their evaluation on a set of benchmark datasets. Finally, we show a detailed comparison among these models, which are followed by some discussions on their limitations that can work as guidelines for future research., Comment: 24 pages, 6 figures, and 2 tables, considered over than 100 papers. arXiv admin note: substantial text overlap with arXiv:1807.05284

Location information claimed by devices will play an ever-increasing role in future wireless networks such as 5G, the Internet of Things (IoT). Against this background, the verification of such claimed location information will be an issue of growing importance. A formal information-theoretic Location Verification System (LVS) can address this issue to some extent, but such a system usually operates within the limits of idealistic assumptions on a-priori information on the proportion of genuine users in the field. In this work we address this critical limitation by using a Neural Network (NN) showing how such a NN based LVS is capable of efficiently functioning even when the proportion of genuine users is completely unknown a-priori. We demonstrate the improved performance of this new form of LVS based on Time of Arrival measurements from multiple verifying base stations within the context of vehicular networks, quantifying how our NN-LVS outperforms the stand-alone information-theoretic LVS in a range of anticipated real-world conditions. We also show the efficient performance for the NN-LVS when the users' signals have added Non-Line-of-Site (NLoS) bias in them. This new LVS can be applied to a range of location-centric applications within the domain of the IoT., 6 Pages, 5 figures

Benign prostatic hyperplasia (BPH) is a common disease that can cause uncomfortable lower urinary tract symptoms. The occurrence of symptomatic BPH develops after the age of 40 years and increases gradually with age to reach more than 50% at the age of 60 years and severely disturbs the quality of life of the patients. Alpha-blockers and 5‑alpha reductase inhibitors are first-line agents used for the treatment of BPH. Due to the adverse effects of these conventional therapies, many patients turn to phytotherapy and other alternative therapies. This review covers alternative therapies, i.e., phytotherapy (cernilton, eviprostat, quercetin, saw palmetto and pumpkin seed) and physical therapy (acupuncture, aquablation, pulsed electromagnetic field, prostate urethral lift, radial extracorporeal shock wave therapy, thermobalancing therapy, and transurethral needle ablation) commonly used in the management of BPH.

Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a common clinical syndrome with unknown aetiology. In this study, we used the T2 peptide in C57BL/6 (B6) mice and Sprague Dawley (SD) rats model during different stages. We sought to understand the role of CD4+ T cells and macrophages in CP/CPPS. A total of 16 B6 mice and 18 SD rats were divided into five groups: B6-naive (n = 6), B6 model (n = 10), SD-naive (n = 6), SD-45-day model (n = 6) and SD-56-day model (n = 6). The B6 model group was subcutaneously injected with 0.2 ml of (225μg/ml) T2 peptide on 0 and 14th day and was finally sacrificed on 28th day. The SD-45- and SD-56-day model groups were subcutaneously injected with 1ml of (50 μg/ml) T2 peptide on 0 and 14th day and were finally sacrificed on 45th and 56th day respectively. An equivalent volume of normal saline (NS) solution was injected to the naive groups and analysed the pain and voiding behaviour. We have calculated the prostate index, H&E staining and immunofluorescence of CD4+ T cells and macrophages (CD68) in each group. T2 peptide immunization in B6 mice and SD rats caused severe prostatitis and cell infiltration, mainly composed of CD4+ T cells and macrophages. The SD-56-day model group showed more severe inflammatory cells infiltration than SD-45-day model group. Moreover, inflammatory cells infiltration and red secretions in B6 model were less than SD model. Expression of CD4+ T cells and macrophages was also consistent with H&E results. These results indicated that different stages of CP/CPPS, inflammatory response, and the inflammation of the rat were stronger than the mouse. Our study suggests that CD4+ T cells and macrophages are key factors in the development of CP/CPPS.

Cardiovascular diseases (CVDs) are considered as the major reason for mortality and morbidity worldwide. Substantial evidence suggests that increased oxidative stress plays a significant role in the pathogenesis of CVDs, including atherosclerosis, hypertension, vascular endothelial dysfunction and ischemic heart disease. Cellular oxidative stress results in the release of toxic free radicals by endothelial cells and vascular smooth muscle cells that interact with cell components such as protein, DNA or lipid resulting in cardiovascular pathology. Silymarin has antioxidant activities against CVDs and offers protection against oxidative stress-induced hypertension, atherosclerosis and cardiac toxicity. We present a comprehensive review regarding the oxidative stress and protective effects of silymarin in CVDs management. We also aim to provide mechanistic insight of the mechanisms of silymarin action in oxidative stress-induced CVDs.

Prostatitis is a common urinary tract syndrome that many doctors find problematic to treat effectively. It is the third most commonly found urinary tract disease in men after prostate cancer and Benign Prostate Hyperplasia (BPH). Prostatitis may account for 25% of all office visits made to the urological clinics complaining about the genital and urinary systems all over the world. In the present study, we classified prostatitis and comprehensively elaborated the etiology, pathogenesis, diagnosis, and treatment of acute bacterial prostatitis (category I), chronic bacterial prostatitis (category II), chronic pelvic pain syndrome (CPPS) (category III), and asymptomatic prostatitis (category IV). In addition, we also tried to get some insights about other types of prostatitis-like fungal, viral and gonococcal prostatitis. The aim of this review is to present the detail current perspective of prostatitis in a single review. To the best of our knowledge currently, there is not a single comprehensive review, which can completely elaborate this important topic in an effective way. Furthermore, this review will provide a solid platform to conduct future studies on different aspects such as risk factors, mechanism of pathogenesis, proper diagnosis, and rational treatment plans for fungal, viral, and gonococcal prostatitis.

Background The exact etiological mechanism of Chronic Prostatitis/chronic pelvic pain syndrome (CP/CPPS) is still unclear however autoimmunity is the most valid theory. We developed a rat model of Chronic Prostatitis/chronic pelvic pain syndrome by using a novel peptide (T2) isolated from TRPM8. This model might be beneficial in elucidating mechanisms involved in the pathogenesis of Chronic Prostatitis/Chronic Pelvic Pain Syndrome (CP/CPPS). Methods 40 male Sprague-Dawley rats with an average weight of 180–220 g were equally distributed into five groups. The normal control group was injected with normal saline (.9% NACL), the CFA group with CFA, AL(OH)3 group was given AL(OH)3 injection, T2 group using a novel peptide T2 and T2 + AL(OH)3 + CFA group was injected with T2 + AL(OH)3 + CFA. Dosing to all rat groups were injected subcutaneously. Hematoxylin and eosin staining and Immunohistochemistry were used to investigate inflammatory cell infiltration and IL-1β in the prostate tissue respectively. ELISA technique was used to measure the serum level of CRP and TNF-α. T -test was used to analyze the results. Results Maximum infiltration of inflammatory cells and the highest level of IL-1β in the prostate tissue was observed in T2 + AL(OH)3 + CFA group as revealed by histopathology and Immunohistochemistry, respectively. Furthermore, T2 + AL(OH)3 + CFA group attained the peak value of serum TNF-α and CRP as determined by ELISA technique. Conclusion Our results demonstrated that T2 in combination with AL(OH)3 and CFA induced severe Prostatitis in rats. We believe that our present model will be highly beneficial for investigation of the pathophysiology of Chronic Prostatitis/Chronic Pelvic Pain Syndrome.

Objectives CP/CPPS is a commonly observed distress in male patients. Because of its little-known etiology, no effective therapy has been developed which has promising outcomes. Therefore, there is a need to develop a valid model which can mimic the etiology of CP/CPPS. Materials and methods Fifty male C57BL/6 mice were randomly and averagely divided into 5 groups of 10 mice each. The control group was injected with 0.9% NaCl solution. Aluminum hydroxide and T2 groups were injected with aluminum hydroxide adjuvant and T2 peptide. T2 plus complete Freund adjuvant (CFA) with aluminum hydroxide group was injected with a mixture of T2, CFA and aluminum hydroxide adjuvant. At the same time, CFA group was injected with complete Freund adjuvant. Hematoxylin-eosin stain and immunohistochemistry were used to investigate inflammatory lesion and expression of IL-β1. Furthermore, TNF-α and CRP protein levels were evaluated by using commercially available ELISA kits. The ANOVA test was used to compare the statistical differences among groups. Results Prostates from a mixture of T2 plus CFA with aluminum hydroxide immunized mice showed elevated lesions and high level of inflammatory cells infiltration compared to the other groups. In addition, the levels of TNF-α, IL-β1, and CRP were also higher in the T2 plus CFA with aluminum hydroxide group as compared to the other groups. Conclusion Our results showed that T2 with CFA plus aluminum hydroxide adjuvant injection could successfully induce CP/CPPS in mice. This autoimmune novel model provides a useful, economic, safer, and easy tool for exploring the etiology and pathophysiology of CP/CPPS which will improve the therapeutic outcomes.

The exact etiology and pathogenesis of chronic prostatitis (CP/CPPS) remain unclear. However, autoimmunity is a widely known theory. Precise treatment of CP/CPPS is not available. Here, we developed a new effective treatment method to prevent the occurrence of CP/CPPS. A total of 40 male C57BL/6 mice were randomly divided into four groups (n = 10): i.e., naive, model, high-dose (500 μg/ml), and low-dose (50 μg/ml) groups. High-dose and low-dose groups were orally given 0.4 ml of T2-containing soybean trypsin inhibitor (STI) at once after every 2 days for a total of 10 days. On day 10 and day 24 all the groups except naïve group were subcutaneously injected with 0.2 ml of T2 peptide along with CFA to make valid CP/CPPS models. Hematoxylin and eosin staining were used to evaluate the variation in CP/CPPS manifestation. Voiding behavior was recorded for the evaluation of urine frequencies. ELISA was used to measure the serum level of TNF-α in each group. The high- and low-dose groups of T2-containing STI displayed a reduction in urine frequencies, and inflammation, and there was a slight inflammatory infiltration as compared to the model group. In contrast, there was no difference observed in the TNF-α concentration of model as well as high- and low-dose groups compared to the naïve group. Our study demonstrates that oral T2-containing STI prevents CP/CPPS and provides an effective approach for the treatment of CP/CPPS.

Among one of the four category prostatitis, chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is the disease with unknown etiology and having 90-95% prevalence in prostatitis. CP/CPPS poses adverse psychological effects and weakens the quality of life (QoL) of the patients. Due to its multifactorial etiology, various types of treatment are available with different management efficacies. The conventional treatment like anti-inflammatory medications, antibiotics, and alpha-blockers have given the lack of verified efficacy that has turned the patients to alternative therapies such as acupuncture because of its efficacy, safety, and high compliance. Acupuncture is an alternative management accepted in several countries and is commonly used in traditional Chinese medicine for chronic pain. Acupuncture had the effect of immune modulation, anti-inflammatory, and neuromodulation. For chronic prostatitis, acupuncture can improve pain symptoms and can bring better results about National Institutes of Health Chronic Prostatitis Symptom Index (NIH-CPSI), and QoL. This review will discuss the efficacy of acupuncture in the treatment of CP/CPPS and effect of acupuncture on NIH-CPSI total score and its domains: pain, voiding, and QoL, as well as its effect on different biomarkers of CPPS.

The exact etiology and pathogenesis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) are still unknown, as a result, available therapeutic options for patients are far from satisfactory. Therefore, there is a need to develop a valid therapeutic approach that can ameliorate the manifestations of CP/CPPS. Fifty male C57BL/6 mice were randomly divided into five groups of ten mice each. All groups except naive were subcutaneously injected with 0.2 ml of T2 plus complete Freund adjuvant (CFA) on day 0 and 14 to generate valid CP/CPPS model. After successful CP/CPPS induction, model group was injected with 0.2 ml of normal saline while PLGA, PLGA-OVA, and PLGA-T2 groups were administered intravenously with 0.2 ml mixture of PLGA, PLGA-OVA, and PLGA-T2, respectively. Voiding behavior, pain threshold, and hematoxylin and eosin staining were used to assess micturition habits, pain intensity as well as prostate inflammation. Additionally, TNF-α, CRP, and IL-10 levels in plasma were measured by using ELISA kits. Mice administered with PLGA-T2 showed higher pain threshold, lower urine frequencies, mild edema, and inflammation in prostate tissue in comparison to other groups. Moreover, the expression of TNF-α and CRP levels was markedly decreased while IL-10 expression was increased in the PLGA-T2 treatment group as compared to the other groups. Our results showed that nanoparticles conjugated with autoantigen novel peptide T2 could successfully alleviate or even heal CP/CPPS to some extent in mice. This study provides an easy, useful, and economic tool for ameliorating the manifestations of CP/CPPS that will improve the therapeutic approaches.

Doxorubicin (DOX) is one of the most effective chemotherapeutic drugs; however, the incidence of cardiotoxicity compromises its therapeutic index. Oxidative stress and apoptosis are believed to be involved in DOX-induced cardiotoxicity. Chitosan oligosaccharides (COS), the enzymatic hydrolysates of chitosan, have been reported to possess diverse biological activities including antioxidant and anti-apoptotic properties. The objective of the present study was to investigate the potential role of COS against DOX-induced cardiotoxicity, and the effects of COS on apoptosis and oxidative stress in rats and H9C2 cells. Furthermore, we also shed light on the involved pathways during the whole process. For this purpose, first, we demonstrated that COS exhibited a significant protective effect on cardiac tissue by not only inducing a decrease in body and heart growth but also ameliorated oxidative damage and ECG alterations in DOX-treated rats. Second, we found that COS reversed the decrease of cell viability induced by DOX, reduced the intracellular reactive oxygen species (ROS), increased the mitochondrial membrane potential (MMP) and Bcl-2/Bax ratio. COS treatment also results in reduced caspase-3 and caspase-9 expressions, and an increase in the phosphorylation of MAPKs (mitogen-activated protein kinases) in DOX-exposed H9C2 cells. Additionally, cellular homeostasis was re-established via stabilization of MAPK mediated nuclear factor erythroid 2-related factor 2/antioxidant-response element (Nrf2/ARE) signaling and transcription of downstream cytoprotective genes. In summary, these findings suggest that COS could be a potential candidate for the prevention and treatment of DOX-induced cardiotoxicity.

Clinical pharmacy, a lifesaving profession that was traditionally related to compounding and dispensing of medicine has now shifted to more patient-centered activities such as pharmaceutical care. A clinical pharmacist could better provide this service as he/she is directly related to patient care. In this review, clinical pharmacists were classified into three stages, learning, applied and creative pharmacist so that he/she can provide better services to the patient. Furthermore, the qualities, which are essential for the clinical pharmacist to be a competent person including strong medical science background, good communication skills, up-to-date knowledge, creativity and innovation, advanced clinical skills, leadership, behavior and social expectations, and intellectual ability were also discussed. The aim of this review is to make the clinical pharmacists aware of their role and responsibilities at each stage, to fulfill these roles effectively rectifying the flaws at each stage by identifying solutions. Moreover, acquiring these qualities specified in this review, it would help clinical pharmacist to transform into a competent health care provider leading to provision of better health care services.

Location information will play a very important role in emerging wireless networks such as Intelligent Transportation Systems, 5G, and the Internet of Things. However, wrong location information can result in poor network outcomes. It is therefore critical to verify all location information before further utilization in any network operation. In recent years, a number of information-theoretic Location Verification Systems (LVSs) have been formulated in attempts to optimally verify the location information supplied by network users. Such LVSs, however, are somewhat limited since they rely on knowledge of a number of channel parameters for their operation. To overcome such limitations, in this work we introduce a Machine Learning based LVS (ML-LVS). This new form of LVS can adapt itself to changing environments without knowing the channel parameters. Here, for the first time, we use real-world data to show how our ML-LVS can outperform information-theoretic LVSs. We demonstrate this improved performance within the context of vehicular networks using Received Signal Strength (RSS) measurements at multiple verifying base stations. We also demonstrate the validity of the ML-LVS even in scenarios where a sophisticated adversary optimizes her attack location., Comment: 5 pages, 3 figures

Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) signals is an effective method for decoding the real emotions, which are independent of body gestures, but it is a challenging problem. Several automatic emotion recognition systems have been proposed, which are based on traditional hand-engineered approaches and their performances are very poor. Motivated by the outstanding performance of deep learning (DL) in many recognition tasks, we introduce an AER system (Deep-AER) based on EEG brain signals using DL. A DL model involves a large number of learnable parameters, and its training needs a large dataset of EEG signals, which is difficult to acquire for AER problem. To overcome this problem, we proposed a lightweight pyramidal one-dimensional convolutional neural network (LP-1D-CNN) model, which involves a small number of learnable parameters. Using LP-1D-CNN, we build a two level ensemble model. In the first level of the ensemble, each channel is scanned incrementally by LP-1D-CNN to generate predictions, which are fused using majority vote. The second level of the ensemble combines the predictions of all channels of an EEG signal using majority vote for detecting the emotion state. We validated the effectiveness and robustness of Deep-AER using DEAP, a benchmark dataset for emotion recognition research. The results indicate that FRONT plays dominant role in AER and over this region, Deep-AER achieved the accuracies of 98.43% and 97.65% for two AER problems, i.e., high valence vs low valence (HV vs LV) and high arousal vs low arousal (HA vs LA), respectively. The comparison reveals that Deep-AER outperforms the state-of-the-art systems with large margin. The Deep-AER system will be helpful in monitoring for health care and security investigations.

Highlights • ADE increases viraemia in DHF and in FCoV infections. • In SARS-CoV infections ADE promotes inflammation. • The underlying cause of hyperinflammation is not clear in Covid-19., The COVID-19 pandemic has rapidly spread around the world with significant morbidity and mortality in a subset of patients including the elderly. The poorer outcomes are associated with ‘cytokine storm-like’ immune responses, otherwise referred to as ‘hyperinflammation’. While most of the infected individuals show minimal or no symptoms and recover spontaneously, a small proportion of the patients exhibit severe symptoms characterized by extreme dyspnea and low oxygen tissue levels, with extensive damage to the lungs referred to as acute respiratory distress symptom (ARDS). The consensus is that the hyperinflammatory response of the host is akin to the cytokine storm observed during sepsis and is the major cause of death. Uncertainties remain on the factors that lead to hyperinflammatory response in some but not all individuals. Hyperinflammation is a common feature in different viral infections such as dengue where existing low-titer antibodies to the virus enhances the infection in immune cells through a process called antibody-dependent enhancement or ADE. ADE has been reported following vaccination or secondary infections with other corona, Ebola and dengue virus. Detailed analysis has shown that antibodies to any viral epitope can induce ADE when present in sub-optimal titers or is of low affinity. In this review we will discuss ADE in the context of dengue and coronavirus infections including Covid-19.

Current study was aimed at ecological investigation of floristic composition, ecological characteristicsand biological spectrum of district Bannu, KP, Pakistan. In the present study, 193 plant species of 154 generabelonging to 54 families were studied during 2013-2014, using frequent field visits in all seasons for the plantcollection. 75.13 percent (145/193) plant species belonged to dicotyledons whereas, 24.87 percent (48/193) speciescomes from monocotyledons. Poaceae was the leading family with 37 species. Based on habitat most plants wereobserved in the dry area (45.07%) compared to wet (34.71%), and cultivated (18.13%). Floristically 60.62 percentwere therophytes, 9.84 percent hemi-cryptophytes, and 9.84 percent geophytes. The leaf size spectra showed thatthe plants with Nanophyll leaves were dominant having 48.18 percent in the area. The vernal aspect was observed asfavorable season for plant growth. In the present study, therophytes were observed dominant with high percentage,indicating tha...

Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a complex disease of unclear etiology. Precise treatment of CP/CPPS is not available due to lack of specific cause; however, autoimmunity is the most valid theory. We develop a new treatment strategy that involves synthesis and coupling of biodegradable nanoparticles to antigenic T2 peptide to induce immune tolerance in CP/CPPS mice models. A total of 50 male C57BL/6 mice were randomized into five groups, that is, naive, Model, PLGA-PEMA, PLGA-PEMA-OVA323-339 , and PLGA-PEMA-T2 group. All groups except naive were injected subcutaneously on day 0 with 0.2 mL of T2 peptide with CFA to generate valid CP/CPPS models. After successful induction of CP/CPPS, Model group, PLGA-PEMA, PLGA-PEMA-OVA, and PLGA-PEMA-T2 groups were treated with 0.15 mL of normal saline, 0.2 mg of PLGA-PEMA and PLG-PEMA-T2 and 0.3 mg PLGA-PEMA-OVA nanoparticles, respectively, on day 28. Hematoxylin and eosin staining, and ELISA were used to evaluate the variation in CP/CPPS manifestations and seral level of IL-10 in each group. Pain threshold and voiding behavior were also recorded for every group. Mice treated with PLGA-PEMA-T2 exhibited enhanced pain threshold, reduced urine frequency, and prostate pathology. Furthermore, serum level of inflammatory mediators (TNF-α and CRP) were reduced and anti-inflammatory IL-10 was enhanced in PLGA-PEMA-T2 group as compared to other groups. Our results demonstrate that PLGA-PEMA-T2 nanoparticle ameliorates disease manifestations in CP/CPPS mice models and upregulates IL-10 which is essential for tolerance induction. This strategy highlights the new therapeutic approach utilizing biodegradable nanoparticles for the treatment of CP/CPPS.

Active hydraulic ventricular attaching support system (ASD) placed around the heart is not only a novel, nontransplant surgical device used for epicardial administration of drugs like lidocaine, but also a promising treatment option for ventricular fibrillation (VF) and arrhythmias. We hypothesize that lidocaine in 5 mg/kg dose released by ASD significantly improves the VF in the rat model. Sprague-Dawley (SD) rats were selected and were divided into four groups, intravenous injection (IV), epicardial infusion (EI), ASD, and control. ASD group was further divided into four subgroups for different lidocaine doses (i) ASD+A group (10 mg/kg), (ii) ASD+B group (5 mg/kg), (iii) ASD+C group (1 mg/kg), and (iv) ASD+D group (0.1 mg/kg). VF was induced with calcium chloride injection and was confirmed by electrocardiogram (ECG) in all the groups. VF was treated with different doses of lidocaine using different modes of administration. Data were analyzed using the SPSS 19.0 Chi-square tests and one-way analysis of variance (ANOVA). The Kaplan-Meier curve for OS was compared to the Logrank test based on the survival time. P < 0.05 was considered as statistically significant. ASD + B group (5 mg/kg) showed significantly reduced sgroup. The time of first sinus rhythm recovered (15.96 ± 21.77 min) and ▵T-SOD in plasma (-42.02 ± 26.99 U/mL) was significantly different than that of control, IV, and EI groups. ▵T-SOD in plasma for all ASD-treated groups was smaller than the control and IV groups. This study proves that ASD with 5 mg/kg lidocaine dose appears as a promising therapeutic platform for treating VF in rats. Furthermore, ASD may also have potential for treating VF or other cardiovascular disease with different therapeutic agents. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 1722-1731, 2019.

Oxidative stress (OS) is a result of the imbalance between reactive oxygen species (ROS) and antioxidants in the body that can cause tissue damage. Oxidative stress has a significant involvement in the pathogenesis of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) and male infertility. CP/CPPS is a major risk factor for male infertility due to generation of excessive ROS that damage sperm DNA, lipids, and proteins, resulting in compromised vitality and decreased sperm motility. Here we present a comprehensive review of oxidative stress relevance in CP/CPPS and male infertility, and embody the protective effects of antioxidants against ROS. An online literature was searched using the following keywords/terms: oxidative stress, ROS, Oxidative stress and chronic prostatitis, oxidative stress and male infertility and antioxidants. Original and review articles, clinical trials, and case reports of human and animal studies published till 2017 were searched using the PubMed and MEDLINE.

Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents. These incidents can pose great danger to human life. Some examples of such assistance include: multi-robot surveying of the scene; collection of sensor data and scene imagery, real-time risk assessment and analysis; object identification and anomaly detection; and retrieval of relevant supporting documentation such as standard operating procedures (SOPs). These incidents, although often rare, can involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances and can be of high consequence. Real-world training and deployment of these systems can be costly and sometimes not feasible. For this reason, we have developed a realistic 3D model of a CBRNE scenario to act as a testbed for an initial set of assisting AI tools that we have developed., Comment: arXiv admin note: substantial text overlap with arXiv:1806.04497

The exact pathophysiology of interstitial cystitis/painful bladder syndrome is unknown; however, autoimmunity is a valid theory. We developed an autoimmune chronic cystitis model by administration of the medium dose of immunogenic peptide T2. Sixty female C57BL/6 mice were divided into six groups. The control group was not treated with any reagent. CFA group was injected with CFA + normal saline, homogenate group with bladder homogenate + CFA, low-dose group with low dose of T2 peptide + CFA, medium dose group with the medium dose of T2 peptide + CFA, and high-dose group with the high dose of T2 peptide + CFA. Micturition habits, withdrawal frequencies of mice, and bladders weight were measured for each group. Hematoxylin and eosin staining and toluidine blue staining were used to investigate bladder inflammation and mast cells accumulation, respectively. T cells infiltration in the bladder tissues and serum TNF-α level were measured by using immunohistochemistry and ELISA, respectively. Mice immunized with the medium dose of T2 peptide (0.225 mg/ml) were extremely sensitive to the applied force, showed greater urine frequencies, and higher bladder weights. Histologic examination revealed severe edema and inflammation in bladder tissues of medium-dose group. Extensive infiltration of T cells in bladder tissues, elevated TNF-α, and increased mast cells accumulation were observed in medium-dose group as compared to that in other groups. EAC mice model established by injecting the medium dose of T2 (0.225 mg/ml) mimics all the symptoms and pathophysiologic characteristics of IC/PBS. We believe that this model can help us to investigate the pathogenesis of IC/PBS.

Effect of acute administration of Bacopa monnieri extract on heat-nocifensive response latency evoked by a heated probe maintained either at a constant temperature of 56 °C with a cut-off latency time of 10 s (Experiment S1) or at 50 °C with a cut-off latency time of 60 s (Experiment S2) in normal rats. (DOCX 516 kb)

Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a frustrating syndrome. The pathogenesis and state of the art treatment of CP/CPPS are not known. A wide variety of therapies including anti-inflammatories, antibiotics, alpha-blockers, neuropathic pain modulators, and 5α-reductase inhibitors are in practice. These treatment strategies focus on alleviating symptoms in specific domains without treating root-cause and therapeutic outcome is far from satisfactory. We review the literature on current pharmacological treatments for CP/CPPS in detail and suggest future perspectives to modify the treatment strategies. We suggest that introducing novel treatment strategies such as gene editing, and Tregs expressing chimeric receptors may improve the treatment outcomes by inducing immune tolerance and controlling expression of pro-inflammatory cytokines.