A novel mouse model of cerebral adrenoleukodystrophy highlights NLRP3 activity in lesion pathogenesis.

Objective: We sought to create and characterize a mouse model of the inflammatory, cerebral demyelinating phenotype of X-linked adrenoleukodystrophy (ALD) that would facilitate the study of disease pathogenesis and therapy development. We also sought to cross-validate potential therapeutic targets such as fibrin, oxidative stress, and the NLRP3 inflammasome, in post-mortem human and murine brain tissues. Background: ALD is caused by mutations in the gene ABCD1 encoding a peroxisomal transporter. More than half of males with an ABCD1 mutation develop the cerebral phenotype (cALD). Incomplete penetrance and absence of a genotype-phenotype correlation imply a role for environmental triggers. Mechanistic studies have been limited by the absence of a cALD phenotype in the Abcd1-null mouse. Methods: We generated a cALD phenotype in 8-week-old, male Abcd1-null mice by deploying a two-hit method that combines cuprizone (CPZ) and experimental autoimmune encephalomyelitis (EAE) models. We employed in vivo MRI and post-mortem immunohistochemistry to evaluate myelin loss, astrogliosis, blood-brain barrier (BBB) disruption, immune cell infiltration, fibrin deposition, oxidative stress, and Nlrp3 inflammasome activation in mice. We used bead-based immunoassay and immunohistochemistry to evaluate IL-18 in CSF and post-mortem human cALD brain tissue. Results: MRI studies revealed T2 hyperintensities and post-gadolinium enhancement in the medial corpus callosum of cALD mice, similar to human cALD lesions. Both human and mouse cALD lesions shared common histologic features of myelin phagocytosis, myelin loss, abundant microglial activation, T and B-cell infiltration, and astrogliosis. Compared to wild-type controls, Abcd1-null mice had more severe cerebral inflammation, demyelination, fibrin deposition, oxidative stress, and IL-18 activation. IL-18 immunoreactivity co-localized with macrophages/microglia in the perivascular region of both human and mouse brain tissue. Interpretation: This novel mouse model of cALD suggests loss of Abcd1 function predisposes to more severe cerebral inflammation, oxidative stress, fibrin deposition, and Nlrp3 pathway activation, which parallels the findings seen in humans with cALD. We expect this model to enable long-sought investigations into cALD mechanisms and accelerate development of candidate therapies for lesion prevention, cessation, and remyelination.

Homozygous mutation in CSF1R causes brain abnormalities, neurodegeneration, and dysosteosclerosis (BANDDOS).

Introduction: The CSF1R gene encodes the receptor for colony-stimulating factor-1, the macrophage, and monocyte-specific growth factor. Mutations in this gene cause hereditary diffuse leukoencephalopathy with spheroids (HDLS) with autosomal dominant inheritance and BANDDOS (Brain Abnormalities, Neurodegeneration, and Dysosteosclerosis) with autosomal recessive inheritance. Methods: Targeted gene sequencing was performed on the genomic DNA samples of the deceased patient and a fetus along with ten healthy members of his family to identify the disease-causing mutation. Bioinformatics tools were used to study the mutation effect on protein function and structure. To predict the effect of the mutation on the protein, various bioinformatics tools were applied. Results: A novel homozygous variant was identified in the gene CSF1R, c.2498C>T; p.T833M in exon 19, in the index patient and the fetus. Furthermore, some family members were heterozygous for this variant, while they had not any symptoms of the disease. In silico analysis indicated this variant has a detrimental effect on CSF1R. It is conserved among humans and other similar species. The variant is located within the functionally essential PTK domain of the receptor. However, no structural damage was introduced by this substitution. Conclusion: In conclusion, regarding the inheritance pattern in the family and clinical manifestations in the index patient, we propose that the mentioned variant in the CSF1R gene may cause BANDDOS.

Using residence time distribution in pharmaceutical solid dose manufacturing - A critical review.

While continuous manufacturing (CM) of pharmaceutical solid-based drug products has been shown to be advantageous for improving the product quality and process efficiency in alignment with FDA's support of the quality-by-design paradigm (Lee, 2015; Ierapetritou et al., 2016; Plumb, 2005; Schaber, 2011), it is critical to enable full utilization of CM technology for robust production and commercialization (Schaber, 2011; Byrn, 2015). To do so, an important prerequisite is to obtain a detailed understanding of overall process characteristics to develop cost-effective and accurate predictive models for unit operations and process flowsheets. These models are utilized to predict product quality and maintain desired manufacturing efficiency (Ierapetritou et al., 2016). Residence time distribution (RTD) has been a widely used tool to characterize the extent of mixing in pharmaceutical unit operations (Vanhoorne, 2020; Rogers and Ierapetritou, 2015; Tezyk et al., 2015) and manufacturing lines and develop computationally cheap predictive models. These models developed using RTD have been demonstrated to be crucial for various flowsheet applications (Kruisz, 2017; Martinetz, 2018; Tian, 2021). Though extensively used in the literature (Gao et al., 2012), the implementation, execution, evaluation, and assessment of RTD studies has not been standardized by regulatory agencies and can thus lead to ambiguity regarding their accurate implementation. To address this issue and subsequently prevent unforeseen errors in RTD implementation, the presented article aims to aid in developing standardized guidelines through a detailed review and critical discussion of RTD studies in the pharmaceutical manufacturing literature. The review article is divided into two main sections - 1) determination of RTD including different steps for RTD evaluation including experimental approach, data acquisition and pre-treatment, RTD modeling, and RTD metrics and, 2) applications of RTD for solid dose manufacturing. Critical considerations, pertaining to the limitations of RTDs for solid dose manufacturing, are also examined along with a perspective discussion of future avenues of improvement.

Compact and automated particle counting platform using smartphone-microscopy.

The majority of existing advanced automated cell counter instruments used in laboratory settings are complex, expensive, and bulky. As a result, applications of these instruments have been limited to such laboratories. Meanwhile, in many rural areas and developing countries, clinical laboratories equipped with optical microscopy, hematology analyzers or commercial automated particle counters may not be readily accessible to everyone. However, in the same regions, the number of cell-phone users are rapidly increasing, suggesting a need to develop an easy-to-use and portable smart-phone based cell counting technology that can be leveraged in resource-limited areas. To this end, we present an automated, portable and easy-to-use smartphone-based particle counting platform designed to detect particles in a sample solution. This novel pump-less, flow-based portable technology utilizes a small lens attached to a smartphone camera to magnify particles passing through a microfluidic channel, and record a video using a smartphone camera application. The captured video is transmitted to a local computer to be processed through a custom-developed algorithm to perform particle counting. Using a total of 30 different test samples, we have shown that our technology can detect and count polystyrene beads as small as 16.2 µm with ~100% accuracy. We evaluated the performance of our new technology using different size particles and showed that the results are comparable to the tedious, manual-microscope based counting method. Although, we benchmark the performance of the platform using polystyrene beads, we emphasize the wide applicability of the platform to a wide range of biological, biomedical, and industrial applications.

The Engaged Role of Tumor Microenvironment in Cancer Metabolism: Focusing on Cancer-Associated Fibroblast and Exosome Mediators.

Metabolic reprogramming is a significant property of various cancer cells, which most commonly arises from the Tumor Microenvironment (TME). The events of metabolic pathways include the Warburg effect, shifting in Krebs cycle metabolites, and the rate of oxidative phosphorylation, potentially providing energy and structural requirements for the development and invasiveness of cancer cells. TME and tumor metabolism shifting have a close relationship through bidirectional signaling pathways between stromal and tumor cells. Cancer- Associated Fibroblasts (CAFs), as the most dominant cells of TME, play a crucial role in the aberrant metabolism of cancer. Furthermore, the stated relationship can affect survival, progression, and metastasis in cancer development. Recently, exosomes are considered one of the most prominent factors in cellular communications considering effective content and bidirectional mediatory effect between tumor and stromal cells. In this regard, CAF-Derived Exosomes (CDE) exhibit an efficient obligation to induce metabolic reprogramming for promoting growth and metastasis of cancer cells. The understanding of cancer metabolism, including factors related to TME, could lead to the discovery of a potential biomarker for diagnostic and therapeutic approaches in cancer management. This review focuses on the association between metabolic reprogramming and engaged microenvironmental, factors such as CAFs, and the associated derived exosomes.

The role of epigenetics and non-coding RNAs in autophagy: A new perspective for thorough understanding.

Autophagy is a major self-degradative intracellular process required for the maintenance of homeostasis and promotion of survival in response to starvation. It plays critical roles in a large variety of physiological and pathological processes. On the other hand, aberrant regulation of autophagy can lead to various cancers and neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and Crohn's disease. Emerging evidence strongly supports that epigenetic signatures, related non-coding RNA profiles, and their cross-talking are significantly associated with the control of autophagic responses. Therefore, it may be helpful and promising to manage autophagic processes by finding valuable markers and therapeutic approaches. Although there is a great deal of information on the components of autophagy in the cytoplasm, the molecular basis of the epigenetic regulation of autophagy has not been completely elucidated. In this review, we highlight recent research on epigenetic changes through the expression of autophagy-related genes (ATGs), which regulate autophagy, DNA methylation, histone modifications as well as non-coding RNAs, including long non-coding RNAs (lncRNAs), microRNAs (miRNAs) and their relationship with human diseases, that play key roles in causing autophagy-related diseases.

Role of NR3C1 and GAS5 genes polymorphisms in multiple sclerosis.

Introduction: Multiple sclerosis (MS) as a progressive chronic disease of the central nervous system (CNS) is characterized by demyelination and axonal loss. Results of genetic studies and clinical trials have proved a key role for the immune system in the pathogenesis of MS. Glucocorticoids (GR) are regarded as potent therapeutic compounds for autoimmune and inflammatory diseases which act through their receptors encoded by Nuclear Receptor Subfamily 3 Group C Member 1 (NR3C1) gene. Meanwhile, the long non-coding RNA (lncRNA) growth arrest specific 5 (GAS5) interacts with GR through binding to the DNA-binding domain (DBD) region and reduces GR transcriptional activity.Methods: The purpose of our study was to evaluate the association between MS and polymorphisms within NR3C1 (rs6189/6190, rs56149945, rs41423247) and GAS5 (rs55829688) genes in 300 relapsing-remitting MS patients and 300 healthy subjects.Results: We demonstrated significant differences in distribution of genotype, allele and haplotype frequencies of rs6189, rs41423247 and rs55829688 between the study groups.Conclusion: Our data may suggest that rs6189, rs41423247 and rs55829688 are associated with the increased risk of MS development. Future studies are needed to verify our results in larger sample sizes and elaborate the underlying mechanisms for contribution of these variants in MS disease.

Down-regulation of ERMN expression in relapsing remitting multiple sclerosis.

Multiple Sclerosis (MS) is a chronic inflammatory disease causing demyelination and neurodegeneration in the central nervous system (CNS). Although the exact etiology of MS is still unclear, both genetic and environmental elements are regarded as causative factors. Environmental factors can induce a cascade of events in immune system leading to neuronal death and nerve demyelination. This paper aims to compare the peripheral transcript levels of Ermin (ERMN) (a gene with putative role in cytoskeletal rearrangements during myelinogenesis) and Listerin E3 Ubiquitin Protein Ligase 1 (LTN1) (a gene with functions in regulating innate immune system) between relapsing-remitting MS (RR-MS) patients and healthy controls. The results showed a significant decrease in ERMN expression (p = 0.022); whereas, no significant difference was detected in LTN1 expression between two groups (p = 0.935). The reduction in ERMN expression in leukocytes could be the cause of demyelinating process in RR-MS patients. Current findings might also have practical importance in prognosis and targeted therapies.

Genetic discoveries and advances in late-onset Alzheimer's disease.

Alzheimer's disease (AD) is a heterogeneous disorder with multiple patterns of clinical manifestations. Recently, due to the advance of linkage studies, next-generation sequencing and genome-wide association studies, a large number of putative risk genes for AD have been identified using acquired genome mega data. The genetic association between three causal genes, including amyloid precursor protein, presenilin1, and presenilin2 in early-onset AD (EOAD), was discovered over the past few decades. These discoveries showed that there should be additional genetic risk factors for both EOAD and late-onset AD (LOAD) to help fully explain the leading molecular mechanisms in a single pathophysiological entity. This study reviews the clinical features and genetic etiology of LOAD and discusses a variety of AD-mediated genes that are involved in cholesterol and lipid metabolism, endocytosis, and immune response according to their mutations for more efficient selection of functional candidate genes for LOAD. New mechanisms and pathways have been identified as a result.

Assessment of expression of RELN signaling pathway in multiple sclerosis patients.

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system. Nearly 85% of MS patients are recognized with relapsing-remitting MS (RRMS), a typical clinical course of disease which is distinguished by several episodes of relapses, separated by remissions of neurological impairment. Failure of repair mechanisms is a main factor in progression of neurological dysfunction in MS. Several lines of evidence suggest that Reelin (RELN) signaling pathway can contribute in the regulation of repair mechanisms in MS patients. In the present study, we assessed expression levels of RELN and Disabled-1 (DAB1), two key genes in RELN signaling pathway, in peripheral blood of 50 RRMS patients and 50 matched healthy subjects. RELN was significantly down-regulated in total MS patients, and total female patients compared with the matched controls. However, no statistically significant difference was found in DAB1 mRNA expression between MS patients and controls. Furthermore, considerable correlations were detected between expression levels of RELN and DAB1 in the patients group. There were no significant correlations between expression levels of genes and EDSS, disease duration or age at onset. Our study provides evidences for the role of RELN signaling pathway in the pathogenesis of MS. Further studies are required to clarify the exact clinical significance of this pathway in MS patients.