Management of large multiple oral papillary lesions suspected Acanthosis Nigricans: a case report

Background Papillary oral pathologies are a heterogenous group. Both virus-associated and non-virus-associated, malignant and benign entities may enter the differential diagnosis. In some cases, oral papillary lesions are part of a variety of skin or systemic disorders and syndromes. It is a challenge for clinicians to identify and treat the various etiology of oral papillary lesions. Case presentation This case report describes the successful management of large multiple oral papillary lesions in a 65-year-old female. Combined the clinical features, pathological findings and medical history, the patient was tended to be the diagnosis of Acanthosis Nigricans and was successfully managed. The neuro-endocrine-immune network and mechanical factors in the pathogenesis of oral papillary lesions of Acanthosis Nigricans were discussed. Common questions regarding differential diagnosis, the management of oral papillary lesions of Acanthosis Nigricans patients and follow-up visits are addressed. Conclusions The neuro-endocrine-immune network and mechanical factors play important roles in the pathogenesis of oral papillary lesions with Acanthosis Nigricans. Removing traumatic factors of oral mucosa and the treatment of underlying systemic diseases is necessary for Acanthosis Nigricans patients with oral papillary lesions. The clinical management plan should comprise both the local treatments of oral papillary lesions and the systemic treatment of underlying diseases. Multidisciplinary correlation is helpful and the patient’s collaboration is necessary to arrive at the correct diagnosis and successful long-term treatment effect. From the clinician’s perspective, recognizing various causes and clinical presentations of oral papillary lesions will help guide management.

Research Progress on the Mechanism of the Acupuncture Regulating Neuro-Endocrine-Immune Network System

As one of the conventional treatment methods, acupuncture is an indispensable component of Traditional Chinese Medicine. Currently, acupuncture has been partly accepted throughout the world, but the mechanism of acupuncture is still unclear. Since the theory of the neuro-endocrine-immune network was put forward, new insights have been brought into the understanding of the mechanism of acupuncture. Studies have proven that acupuncture is a mechanical stimulus that can activate local cell functions and neuroreceptors. It also regulates the release of related biomolecules (peptide hormones, lipid hormones, neuromodulators and neurotransmitters, and other small and large biomolecules) in the microenvironment, where they can affect each other and further activate the neuroendocrine-immune network to achieve holistic regulation. Recently, growing efforts have been made in the research on the mechanism of acupuncture. Some researchers have transitioned from studying the mechanism of acupuncture as a single linear pathway to using systems approaches, including metabolomics, genomics, proteomics and biological pathway analysis. This review summarizes the research progress on the neuro-endocrine-immune network related mechanism of acupuncture and discusses its current challenges and future directions.

GM-NAINO: Global Mutation based Novel Artificial Immune Network Optimization for Enhancing Data Security in Public Cloud Storage System

In recent years, numerous research works have been established to obtain secure data in the cloud storage system. But the data privacy regarding information outsourcing on cloud services is considered a crucial problem. In order to provide secure data, it is necessary to encrypt the information before storing it in the public cloud storage system. To provide security and data integrity during encryption and decryption, this paper proposes a global mutation-based novel artificial immune network optimization algorithm for RSA cryptosystem. Here, the Global Mutation Based Novel Artificial Immune Network Optimization (GM-NAINO) Algorithm is employed to attain optimal generation of keys thereby enhancing safe and secure data transmission and improving the data integrity during the transmission of data. Thus, the proposed GM-NAINO based RSA framework provides an effective system in improving data integrity. In addition to this, to determine the effectiveness of the proposed GM-NAINO algorithm seven benchmark functions are utilized in this paper. The performance evaluation and the comparative analysis are carried out and the proposed GM-NAINO based RSA framework outperforms other approaches.

Identification of cavitation in centrifugal pump by artificial immune network

Reducing the cost of unscheduled shutdowns and enhancing the reliability of production systems is an important goal for various industries; this could be achieved by condition monitoring and artificial intelligence. Cavitation is a common undesired phenomenon in centrifugal pumps, which causes damage and its detection in the preliminary stage is very important. In this paper, cavitation is identified by use of vibration and current signal and artificial immune network that is modeled on the base of the human immune system. For this purpose, first data collection were done by a laboratory setup in health and five stages damage condition; then various features in time, frequency, and time–frequency were extracted from vibration and current signals in addition to pressure and flow rate; next feature selection and dimensions reduction were done by artificial immune method to use for classification; finally, they were used by artificial immune network and some other methods to identify the system condition and classification. The results of this study showed that this method is more accurate in the detection of cavitation in the initial stage compared to methods such as non-linear supportive vector machine, multi-layer artificial neural network, K-means and fuzzy C-means with the same data. Also, selected features with artificial immune system were better than principal component analysis results.

MYCN Drives a Tumor Immunosuppressive Environment Which Impacts Survival in Neuroblastoma

A wide range of malignancies presents MYCN amplification (MNA) or dysregulation. MYCN is associated with poor prognosis and its over-expression leads to several dysregulations including metabolic reprogramming, mitochondria alteration, and cancer stem cell phenotype. Some hints suggest that MYCN overexpression leads to cancer immune-escape. However, this relationship presents various open questions. Our work investigated in details the relationship of MYCN with the immune system, finding a correlated immune-suppressive phenotype in neuroblastoma (NB) and different cancers where MYCN is up-regulated. We found a downregulated Th1-lymphocytes/M1-Macrophages axis and upregulated Th2-lymphocytes/M2-macrophages in MNA NB patients. Moreover, we unveiled a complex immune network orchestrated by N-Myc and we identified 16 genes modules associated to MNA NB. We also identified a MYCN-associated immune signature that has a prognostic value in NB and recapitulates clinical features. Our signature also discriminates patients with poor survival in non-MNA NB patients where MYCN expression is not discriminative. Finally, we showed that targeted inhibition of MYCN by BGA002 (anti-MYCN antigene PNA) is able to restore NK sensibility in MYCN-expressing NB cells. Overall, our study unveils a MYCN-driven immune network in NB and shows a therapeutic option to restore sensibility to immune cells.

A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies

Microglial dysfunction has been proposed as one of the many cellular mechanisms that can contribute to the development of Alzheimer’s disease (AD). Here, using a transcriptional network map of the human frontal cortex, we identify five modules of co-expressed genes related to microglia and assess their role in the neuropathologic features of AD in 540 subjects from two cohort studies of brain aging. Two of these transcriptional programs—modules 113 and 114—relate to the accumulation of β-amyloid, while module 5 relates to tau pathology. We replicate these associations in brain epigenomic data and in two independent datasets. In terms of tau, we propose that module 5, a marker of activated microglia, may lead to tau accumulation and subsequent cognitive decline. We validate our model further by showing that three representative module 5 genes (ACADVL, TRABD, and VASP) encode proteins that are upregulated in activated microglia in AD.