Biology subjects

Hossain, M. S.

Publications and source records attributed to Hossain, M. S..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

Comparative Genome Study of Multidrug-resistant Serratia marcescens strain IU-BTGE-M-3 Isolated from a Diarrheal Patient Reveals Antibiotic Resistance Profile

Serratia marcescens is a notable pathogen known for its intrinsic and acquired antimicrobial resistance, posing challenges in healthcare. The study investigates the multidrug-resistant (MDR) Serratia marcescens strain BTGE-M-3, focusing on its genomic features and antibiotic resistance. The strain was identified using both morphological and molecular approaches, and its genome, which measured 4.97 Mbp and exhibited a GC content of 59.7%, was sequenced. The genome has 4,827 genes, including essential antibiotic resistance genes, such as tet (41) for tetracyclines, aac (6')-Ic for aminoglycosides, OqxB for fluoroquinolones, and blaSST-1 beta-lactam, alongside various virulence determinants. Comparative genomics revealed high similarity (98.06% ANI) to S. marcescens strain KS10, supporting its classification within the same species. Additionally, the genome analysis showed that S. marcescens strain IU-BTGE-M-3 comprises of 4390 gene clusters, 4564 genes, and 244 unique singleton genes. To summarize, the results showed that S. marcescens strain IU-BTGE-M-3 exhibited a high level of genomic diversity as well as diverse metabolic, cellular, and biological functions, and it is hypothesized that frequent strain exchanges resulted in the horizontal transfer of drug resistance genes. This study underscores the importance of genomic surveillance in understanding and combating antibiotic resistance in therapeutic settings.

genomics↗

bioRxiv2024

Granulocyte colony-stimulating factor protects against arthritogenic alphavirus pathogenesis in a type I IFN-dependent manner

Arthritogenic alphaviruses cause disease characterized by fever, rash, and incapacitating joint pain. Alphavirus infection stimulates robust inflammatory responses in infected hosts, leading to the upregulation of several cytokines, including granulocyte colony-stimulating factor (G-CSF). G-CSF is secreted by endothelial cells, fibroblasts, macrophages, and monocytes and binds to colony stimulating factor 3 receptor (CSF3R, also known as G-CSFR) on the surface of myeloid cells. G-CSFR signaling initiates proliferation, differentiation, and maturation of myeloid cells, especially neutrophils. Importantly, G-CSF has been found at high levels in both the acute and chronic phases of chikungunya disease; however, the role of G-CSF in arthritogenic alphavirus disease remains unexplored. Here, we sought to test the effect of G-CSF on chikungunya virus (CHIKV) and Mayaro virus (MAYV) infection using G-CSFR-deficient mice (G-CSFR-/-). We observed sustained weight loss in G-CSFR-/- mice following viand MAYV infection compared to wild-type mice. Furthermore, G-CSFR-/- mice had a significantly higher percentage of inflammatory monocytes and reduction in neutrophils throughout infection. The difference in weight loss in G-CSFR-/- mice induced by alphavirus infection was corrected by blocking type I IFN signaling. In summary, these studies show that type I IFN signaling contributes to G-CSFR mediated control of arthritogenic alphavirus disease.

immunology↗

bioRxiv2024

Obesity-Associated Changes in Immune Cell Dynamics During Alphavirus Infection Revealed by Single Cell Transcriptomic Analysis

Obesity induces diverse changes in host immunity, resulting in worse disease outcomes following infection with various pathogens, including arthritogenic alphaviruses. However, the impact of obesity on the functional landscape of immune cells during arthritogenic alphavirus infection remains unexplored. Here, we used single-cell RNA sequencing (scRNA-seq) to dissect the blood and tissue immune responses to Mayaro virus (MAYV) infection in lean and obese mice. Footpad injection of MAYV caused significant shifts in immune cell populations and induced robust expression of interferon response and proinflammatory cytokine genes and related pathways in both blood and tissue. In MAYV-infected lean mice, analysis of the local tissue response revealed a unique macrophage subset with high expression of IFN response genes that was not found in obese mice. This was associated with less severe inflammation in lean mice. These results provide evidence for a unique macrophage population that may contribute to the superior capacity of lean mice to control arthritogenic alphavirus infection. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=93 SRC="FIGDIR/small/617696v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@11e9cbdorg.highwire.dtl.DTLVardef@c44512org.highwire.dtl.DTLVardef@192da94org.highwire.dtl.DTLVardef@4c5ea5_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIObesity worsens disease outcomes following arthritogenic alphavirus infection. C_LIO_LIArthritogenic alphavirus infection causes significant shifts in immune cell populations in the blood and footpad. C_LIO_LIBlood monocytes from lean mice had higher expression of interferon response genes at the later stage of infection. C_LIO_LIFootpads in lean mice have an expanded population of F4/80lo macrophages with an intense interferon response gene signature before and after alphavirus infection that is not found in obese mice. C_LIO_LIMacrophages in obese mice express lower levels of interferon response genes, have a unique necroptosis signature, and higher F4/80 expression. C_LI

immunology↗

bioRxiv2024

Exploration of the Metabolic Potential of the Corallococcus Genus: A Rich Source of Secondary Metabolites, and CAZymes

Different secondary metabolites take on important roles. They can also transport metals, function as sexual hormones, facilitate harmonious coexistence of microbes and living beings, and induce differentiation, besides being used as competitive weapons against other bacteria, fungi, amoebae, plants, insects, and large animals. Progress in next-generation sequencing methods, together with microbial genome sequencing, has unveiled a wealth of natural products (NPs) with yet-untapped potential. Genome mining of Corallococcus species and C. exiguus subspecies that can make secondary metabolites that are clinically important has not been studied very much. The goal of this study is to look into Corallococcus genomes biosynthetic gene clusters (BGCs) and carbohydrate-active enzyme gene clusters. We fully characterize BGCs from Corallococcus reference genome sequences that are publicly available using bioinformatic tools in addition to phylogenetic and genomic comparisons. Our results show that there is a huge range of BGCs in different Corallococcus genomes, but the species or subspecies level affects the ability to make NPs. Additionally, we investigated unknown and less comparable BGCs at the species level and found that C. llansteffanensis has more potential as a reservoir of new secondary metabolites. These insights will pave the way for the algorithmic identification of species- and subspecies-specific pathways for NP development.

bioinformatics↗

bioRxiv2024

Altered Copper Transport in Oxidative Stress-Dependent Brain Endothelial Barrier Dysfunction Associated with Alzheimer's Disease

Oxidative stress and blood-brain barrier (BBB) disruption due to brain endothelial barrier dysfunction contribute to Alzheimers Disease (AD), which is characterized by beta-amyloid (A{beta}) accumulation in senile plaques. Copper (Cu) is implicated in AD pathology and its levels are tightly controlled by several Cu transport proteins. However, their expression and role in AD, particularly in relation to brain endothelial barrier function remains unclear. In this study, we examined the expression of Cu transport proteins in the brains of AD mouse models as well as their involvement in A{beta}42-induced brain endothelial barrier dysfunction. We found that the Cu uptake transporter CTR1 was upregulated, while the Cu exporter ATP7A and/or ATP7B were downregulated in the hippocampus of AD mouse models, and in A{beta}42-treated human brain microvascular endothelial cells (hBMECs). In the 5xFAD AD mouse model, Cu levels (assessed by ICP-MS) were elevated in the hippocampus. Moreover, A{beta}42-induced reactive oxygen species (ROS) production, ROS-dependent loss in barrier function in hBMEC (measured by transendothelial electrical resistance), and tyrosine phosphorylation of VE-cadherin were all inhibited by either a membrane permeable Cu chelator or by knocking down CTR1 expression. These findings suggest that dysregulated expression of Cu transport proteins may lead to intracellular Cu accumulation in the AD brain, and that A{beta}42 promotes ROS-dependent brain endothelial barrier dysfunction and VE-Cadherin phosphorylation in a CTR1-Cu-dependent manner. Our study uncovers the critical role of Cu transport proteins in oxidative stress-related loss of BBB integrity in AD. HighlightsO_LIUpregulation of the Cu importer CTR1 and downregulation of the Cu exporter ATP7A in the hippocampus of AD mouse models C_LIO_LIA{beta}42 increases CTR1 expression while reduces ATP7A and ATP7B levels in human brain microvascular ECs. C_LIO_LIA{beta}42 triggers increased reactive oxygen species (ROS) production in human brain microvascular ECs through a CTR1- and Cu-dependent manner. C_LIO_LIA{beta}42 induces endothelial barrier dysfunction in human brain microvascular ECs through a CTR1-Cu-ROS-pendent manner. C_LI

neuroscience↗

bioRxiv2024

Assembly and performance of a cholera RDT prototype that detects both Vibrio cholerae and associated bacteriophage as a proxy for pathogen detection

IntroductionCholera rapid diagnostic tests (RDTs) are vulnerable to virulent bacteriophage predation. We hypothesized that an enhanced cholera RDT that detects the common virulent bacteriophage ICP1 might serve as a proxy for pathogen detection. We previously developed a monoclonal antibody (mAb) to the ICP1 major capsid protein. Our objective herein was to design and assemble a first-of-its-kind RDT that detects both a bacterial pathogen (Vibrio cholerae) and associated virulent bacteriophage (ICP1). MethodCandidate mAbs were expanded to increase design options and evaluated by immunological assays (ELISA; western blot). A subset of mAbs were selected for gold conjugation and printing on the RDT. The limit of detection (LOD) of prototype RDTs were determined in diarrheal stools with the addition of ICP1. ResultsThree mAb candidates were developed and evaluated for the capsid decoration protein (ORF123) and tail fiber protein (ORF93), and the prior mAb for the major capsid protein (ORF122). A single mAb sandwich RDT prototype for ORF122 was able to detect ICP1; RDTs with mAbs to ORF123 and ORF93 failed to detect ICP1 in single or dual sandwich configurations. Biologically meaningful LODs for ICP1 were achieved only after boiling the stool with ICP1; analysis by electron microscopy suggested increased epitope availability after boiling. ConclusionIn this study, we demonstrate a proof of concept for a functional RDT that can detect both the primary pathogen and a common virulent bacteriophage as a proxy for pathogen detection. Further optimization is required before scaled production and implementation.

immunology↗

bioRxiv2024

Exploring Effector Protein Dynamics and Natural Fungicidal Potential in Rice Blast Pathogen Magnaporthe oryzae

Rice blast, caused by Magnaporthe oryzae, is a severe agricultural disease leading to significant global economic losses. Genetic and genomic investigations have identified crucial genes and pathways involved in its pathogenesis, particularly highlighting effector proteins like AvrPik variants and MAX proteins. These proteins interact with specific Pik alleles on rice chromosome 11, influencing host immune responses. This study focused on 35 plant-derived metabolites known for their antifungal properties, evaluating their potential as fungicidal agents against M. oryzae. Molecular docking analyses identified Hecogenin and Cucurbitacin E as highly effective binders to MAX40 and APIKL2A proteins, respectively, which are pivotal for fungal virulence and immune evasion. Molecular dynamics simulations further validated strong and stable interactions, affirming the therapeutic potential of these compounds. Additional assessments including Lipinskis rule of five criteria and toxicity predictions indicated their suitability for agricultural use. These findings underscore the promise of Hecogenin and Cucurbitacin E as lead candidates in developing novel fungicidal strategies against rice blast, offering prospects for enhanced crop protection and agricultural sustainability.

bioinformatics↗

bioRxiv2024

Endothelial Drp1 Couples VEGF-induced Redox Signaling with Glycolysis Through Cysteine Oxidation to Drive Angiogenesis

Angiogenesis plays a vital role for postnatal development and tissue repair following ischemia. Reactive oxygen species (ROS) generated by NADPH oxidases (NOXes) and mitochondria act as signaling molecules that promote angiogenesis in endothelial cells (ECs) which mainly relies on aerobic glycolysis for ATP production. However, the connections linking redox signaling with glycolysis are not well understood. The GTPase Drp1 is a member of the dynamin superfamily that moves from cytosol to mitochondria through posttranslational modifications to induce mitochondrial fission. The role of Drp1 in ROS-dependent VEGF signaling and angiogenesis in ECs has not been previously described. Here, we identify an unexpected function of endothelial Drp1 as a redox sensor, transmitting VEGF-induced H2O2 signals to enhance glycolysis and angiogenesis. Loss of Drp1 expression in ECs inhibited VEGF-induced angiogenic responses. Mechanistically, VEGF rapidly induced the NOX4-dependent sulfenylation (CysOH) of Drp1 on Cys644, promoting disulfide bond formation with the metabolic kinase AMPK and subsequent sulfenylation of AMPK at Cys299/304 via the mitochondrial fission-mitoROS axis. This cysteine oxidation of AMPK, in turn, enhanced glycolysis and angiogenesis. In vivo, mice with EC-specific Drp1 deficiency or CRISPR/Cas9-engineered "redox-dead" (Cys to Ala) Drp1 knock-in mutations exhibited impaired retinal angiogenesis and post-ischemic neovascularization. Our findings uncover a novel role for endothelial Drp1 in linking VEGF-induced mitochondrial redox signaling to glycolysis through a cysteine oxidation-mediated Drp1-AMPK redox relay, driving both developmental and reparative angiogenesis.

cell biology↗

bioRxiv2024

Advancements in Cardiovascular Disease Detection: Leveraging Data Mining and Machine Learning

Cardiovascular disease (CVD) is a significant global health concern, requiring early detection and accurate prediction for effective intervention. Machine learning (ML) offers a data-driven approach to analyzing patient data, identifying complex patterns and predicting CVD risk factors like blood pressure (BP), cholesterol levels, and genetic predispositions. Our research aims to predict CVD presence using ML algorithms, leveraging the Heart Disease UCI dataset with 14 attributes and 303 instances. Extensive feature engineering enhanced model performance. We developed five models using Logistic Regression, K-Nearest Neighbors (KNN), Decision Tree Classifier, Support Vector Machine (SVM), and Random Forest Classifier, refining them with hyperparameter tuning. Results show substantial accuracy improvements post-tuning and feature engineering. Logistic Regression achieved the highest accuracy at 93.44%, closely followed by Support Vector Machine at 91.80%. Our findings emphasize the potential of ML in early CVD prediction, underlining its value in healthcare and proactive risk management. MLs utilization for CVD risk assessment promises personalized healthcare, benefiting both patients and healthcare providers. This research showcases the practicality and effectiveness of ML-based CVD risk assessment, enabling early intervention, improving patient outcomes, and optimizing healthcare resource allocation.

cancer biology↗

bioRxiv2023

Unraveling Coinfection Dynamics into 100 Whole Genome of Diarrheal Pathogens: A Genome-to-Systems Biology Approach with Plesiomonas shigelloides

Diarrhea is the second leading cause of mortality among infants under the age of five. One of the main causes of this disease is multipathogenic infections, which can make the conditions of patients even worse. Plesiomonas shigelloides (P. shigelloides) is one of the pathogenic bacteria that contributes to the pathophysiology of diarrhea and may be implicated in coinfection with other diarrheal pathogens. Therefore, the purpose of this study is to investigate the hypothetical proteins to explore the genetic insights of P. shigelloides and its relationships with common diarrheal diseases. For this reason, we used 16S rRNA sequencing together with several biochemical tests to identify the bacteria that we isolated from diarrheal patients (8 years). Afterwards, the whole genome of P. shigelloides was sequenced, assembled and annotated in order to obtain the genomic insights of P. shigelloides. In addition, the common virulence genes of ten (10) common diarrhea-causing bacteria were identified from 100 whole genome sequences. Finally, the system biology approach was applied to predict the coinfection pattern between P. shigelloides and the virulence genes of 10 bacteria. The complete genome sequencing analysis of this bacterium revealed 899 hypothetical proteins from which 33 hypothetical proteins shared the clusters with the 109 virulence genes of 10 distinct diarrheal pathogens, forming a strong interaction based on biological processes, molecular functions, subcellular localization, or pathways. All diarrhea causing bacteria were found to have P. shigelloides microbial interactions; however, V. cholerae exhibited the strongest relationships, while C. difficile showed the weakest. The results of this investigation clearly imply that P. shigelloides shares a coinfection pattern with other bacteria that cause diarrhea. Finally, the findings from the complete genome provide new avenues for researchers to pursue their investigation of the pathophysiology of diarrhea.

systems biology↗

bioRxiv2023

Genome-Wide Exploration of the Opportunistic Providencia stuartii Unveils the Novel Genetic Interactions with the Virulence Gene of Diarrheal Pathogens

Diarrhea typically indicates an intestinal disorder, which can occur from viruses, parasites or bacterial infection. Along with the common diarrhea-causing pathogens, opportunistic bacteria may also play a role in the etiology of diarrheal disease. One of the opportunists bacteria that can cause diarrhea in both children and adults is Providencia stuartii. Therefore, the goal of this study is to explore the genetic mechanism of the opportunistic P. stuartii in microbial interactions with common diarrheal pathogens. Hence, P. stuartii was identified by utilizing the morphological observation and molecular techniques. Afterwards, the entire genome of P. stuartii was sequenced, assembled and annotated to explore the genomic insights. In addition, the virulence genes of 100 whole genome sequences from ten prevalent diarrhea-causing bacteria were identified and prioritized. Finally, the system biology approach was used to predict the protein-protein interaction network between P. stuartii and the virulence genes. The results of the present study suggests that complete genome sequencing of this bacteria contains 4011 proteins, which are crucial for this bacterium to survive. Additionally, 16 gene clusters provide 207 interacting genes that could interact with biological and molecular function, subcellular localization and pathway. The microbial interaction accompanying the virulence gene was found in all 10 diarrhea-causing bacteria except Clostridium difficile. These findings of this study could aid in the exploration of Providencia stuartii as the major causative agent of diarrhea. Additionally, the pathophysiology of diarrhea can be investigated using the microbial interactions between P. stuartii and the typical diarrheal bacteria. The results of this study may therefore be used to determine the most effective therapeutic targets for the development of medications to treat diarrhea.

genomics↗

bioRxiv2023

Mice Models to Bioinformatics Methods Led to the Discovery of Antidiabetic Compounds in the F. racemosa Plant Extracts

One of the primary health issues caused by inadequate blood sugar regulation is Diabetes Mellitus (DM). Diabetes and its consequences remain clinically significant even with the development of oral hypoglycemic medications. Therefore, Ficus racemosa (F. racemosa) plant has been studied for assessing of its antidiabetic potential coupling with animal model and in silico experiments. Drug Alloxan (150 mg/kg) was injected to induce the experimental diabetes in Swiss Albino mice, and two doses methanol extract of the F. racemosa fruit (300 and 500 mg/kg) along with glibenclamide (5 mg/kg) were given orally. Oral Glucose Tolerance Test (OGTT) and acute toxicity were performed as well in both diabetic and non-diabetic mice. Later, in silico experiments including ADMET profiling, molecular docking and simulations were performed. The administration of a dosage less than 3000 mg/kg has been observed to be well-tolerated by mice, with no reported instances of mortality or adverse effects. Following oral administration for 7 days, the blood glucose level (BGL) was significantly decreased in mice model in both doses of extracts, indicating the effect of F. racemosa. Subsequent to this, molecular docking and simulations have indicated that the SIRT1 receptor exhibits a higher binding affinity towards four specific compounds, namely Friedelin, Lupeol Acetate, Gluanol, and Ferulic Acid, as indicated by the dynamics parameters and interacting residues. The current investigation provided evidence that the fruit extract of F. racemosa significantly mitigated the hyperglycemic impact. Moreover, a total of four substances have been found that play a crucial role in the mechanisms behind the reduction of diabetic effects. Hence, the current investigation could potentially serve as a viable therapeutic approach in the treatment of diabetes.

microbiology↗

bioRxiv2023

From Sequence to Significance: A Thorough Investigation of the Distinctive Genome Traits Uncovered in C. werkmanii strain NIB003

Citrobacter werkmanii (C. werkmanii) is an opportunistic bacterium that has received very little investigation in Bangladesh, even though it is thought to be capable of causing diseases including diarrhea and urinary tract infections. Therefore, the present study focuses on the exploration of genomic features, including antibiotic resistance genes, virulent genes, and their distinctive nature in the pathogenesis of diseases. A complete genome was sequenced for the first time in Bangladesh after the morphological, biochemical and molecular identification of this bacteria. A total of 47,65,861 nucleotide base pairs makes up the genome, which contains 4669 genes, and many of the protein-coding genes can be classified into various ontological frameworks, including COG and KEGG pathways. Notably, C. werkmanii has the capability to have interactions with Escherichia coli, Salmonella, and Klebsiella while they possess the same domains and motifs, indicating a causal role in the development of diarrhea. Furthermore, the Bangladeshi isolate of C. werkmaii has observed genetic heterogeneity when compared to other strains of C. werkmanii: C. werkmanii FDAARGOS_616, C. werkmanii LCU-V21, and C. werkmanii BF-6. This identified genetic variation of sequenced C. werkmanii could drive the functional aberration in body homeostasis of bacteria. Later, molecular dynamics studies have proven the impact of their genetic variation on the protein structure, as indicated by the SASA, RMSD, Rg, and RMSF values. Finally, the findings of C. werkmanii from the sequenced genome might provide us with a better understanding of C. werkmanii and their possible role as opportunistic bacteria in diseases including diarrhea and urinary tract infections.

genomics↗

bioRxiv2023

A Computational Approach for Structural and Functional Analyses of Disease-associated Mutations in the Human CYLD Gene

Tumor suppressor Cylindromatosis protein (CYLD) regulates NF- {kappa}B and JNK signaling pathway by cleaving K63 linked poly-ubiquitin chain from its substrate molecules and thus preventing the progression of tumorigenesis and metastasis of the cancer cells. Mutations in CYLD can cause aberrant structure and abnormal functionality leading to tumor formation. In this study, we utilized several computational tools such as PANTHER, PROVEAN, PREDICT- SNP, POLYPHEN 2, PHD SNP, PON P2, and SIFT to find out deleterious nsSNPs. We also highlighted the damaging impact of those deleterious nsSNPs on the structure and function of the CYLD utilizing Consurf, I-Mutant, SDM, Phyre2, HOPE, Swiss PDB Viewer, and Mutation 3D. We shortlisted 18 high-risk nsSNPs from a total of 446 nsSNPs recorded in the NCBI database. Based on the conservation profile, stability status, and structural impact analysis we finalized 13nsSNPs. Molecular docking analysis and molecular dynamic simulation concluded the study with the findings of two significant nsSNPs (R830K, H827R) which have a remarkable impact on binding affinity, RMSD, RMSF, Radius of gyration, and hydrogen bond formation during CYLD-ubiquitin interaction. The principal component analysis compared native and two mutants R830K, H827R of CYLD that signifies structural and energy profile fluctuations during molecular dynamic (MD) simulation. Finally, the Protein-protein interaction network showed CYLD interacts with 20 proteins involved in several biological pathways that mutations can impair. Considering all these in silico analyses, our study recommended conducting large-scale association studies of nsSNPs of CYLD with cancer as well as designing precise medications against diseases associated with these polymorphisms.

bioinformatics↗

bioRxiv2023

In vivo and in silico experiment on Mitragyna speciosa offers new insight of antidiabetic potentials

Diabetes Mellitus (DM) is a serious metabolic disease with several treatments available for managing it, however, they can be expensive and have side effects. Medicinal plants have been used for many years to treat numerous diseases. Mitragyna speciosa (M. speciosa) plant has been shown to have anti-diabetic properties in preclinical studies. Hence, this study aimed to investigate the phytochemical compositions and anti-diabetic effects of M. speciose, using both in vivo and in silico approaches. In the in vivo study, experimental diabetes was induced in Swiss albino mice using the drug alloxan (150 mg/kg). Four groups of diabetic mice were taken. Two of the groups were given extracts at doses of 200 mg/kg and 400 mg/kg respectively. Diabetic mice treated with the reference drug, glibenclamide (5mg/kg) were chosen as a positive control, and mice with only vehicles were considered as a negative control. The Oral Glucose Tolerance Test (OGTT) and the acute toxicity test were performed. In the in silico study, molecular docking and dynamics were performed for the identification of the plant compounds that could effectively bind with the DPP4 receptor. Analysis of the study suggested that the lethal dose (LD50) values were greater than 2000 mg/kg, indicating that a dose below this level can be selected. The OGTT results showed that both doses of M. speciose extracts significantly reduced blood glucose levels (P<0.0001). However, neither dose exhibited a significantly higher blood glucose reduction compared to glibenclamide (5 mg/kg) (P > 0.05). Phytochemical screening and the ADMET profile analysis suggested four key compounds: Mitragynine, Corynantheidine, Corynoxine, and Speciociliatine in M. speciosa. The molecular docking analysis revealed these four compounds as potential antidiabetic agents considering their high binding affinity to the DPP4 receptor. These compounds were also found to be stable in the DPP4 binding pocket, as evidenced by the molecular dynamics simulation. Lastly, it can be demonstrated that the in silico experiments confirmed M. speciosa extracts to be capable of reducing blood glucose levels because of the presence of compounds.

pharmacology and toxicology↗

bioRxiv2023

Seroprevalence of IgG Antibody against SARS-CoV-2 Nucleocapsid protein and Associated Risk Factors

Estimation of antibody development against SARS-CoV-2 is essential means for understanding the immune response against the virus. We reported IgG antibody development status against Nucleocapsid protein of the virus and compared with lifestyle (health and food habits), co-existing diseases, vaccination and COVID-19 infection status. ELISA (Enzyme Linked Immunosorbent Assay) was performed to assess IgG antibodies targeted against the Nucleocapsid protein of SARS-CoV-2 in participants (n=500). In this seroprevalence study, serological data were estimated for a period of 10 months in the participants who were aged 10 years and above. Sociodemographic and risk factors related data were collected through a written questionnaire and chi-square test was performed to determine the association with seropositivity. The overall seroprevalence of anti-SARS-CoV-2 antibodies among the study subjects was 47.8%. Estimates were highest among the participants of 21-40 years old (55.1%), and lowest in older aged (>60 years) participants (39.5%). Among the Sinopharm vaccinated individuals 81.8% had developed anti-Nucleocapsid antibody. Physical exercise and existence of comorbidities like hypertension and diabetes were the distinguishing factors between seropositive and seronegative individuals. Seropositivity rate largely varied among symptomatic (67%) and asymptomatic (33.1%) COVID-19 infected participants. The findings suggest that residents of Dhaka city had a higher prevalence of anti-nucleocapsid antibody in the second year of the pandemic. This indicates the improvement of immunological status among the population. Finally, the study emphasizes on maintaining active and healthy lifestyle to improve immunity. However, the absence of IgG antibodies in many cases of COVID-19 infected individuals suggests that antibodies wane with time. Key messagesO_LIThe overall seroprevalence of anti-Nucleocapsid IgG among the study subjects was determined to be 47.8%. C_LIO_LIAge, regular physical exercise, existence of comorbidities were the identified parameters associated with seroprevalence. C_LIO_LIThis study observed lower prevalence of Anti-Nucleocapsid antibody among asymptomatic cases of COVID-19 infected individuals compared to symptomatic cases. C_LI

immunology↗

bioRxiv2022

JGI Plant Gene Atlas: An updateable transcriptome resource to improve structural annotations and functional gene descriptions across the plant kingdom

Gene functional descriptions, which are typically derived from sequence similarity to experimentally validated genes in a handful of model species, offer a crucial line of evidence when searching for candidate genes that underlie trait variation. Plant responses to environmental cues, including gene expression regulatory variation, represent important resources for understanding gene function and crucial targets for plant improvement through gene editing and other biotechnologies. However, even after years of effort and numerous large-scale functional characterization studies, biological roles of large proportions of protein coding genes across the plant phylogeny are poorly annotated. Here we describe the Joint Genome Institute (JGI) Plant Gene Atlas, a public and updateable data resource consisting of transcript abundance assays from 2,090 samples derived from 604 tissues or conditions across 18 diverse species. We integrated across these diverse conditions and genotypes by analyzing expression profiles, building gene clusters that exhibited tissue/condition specific expression, and testing for transcriptional modulation in response to environmental queues. For example, we discovered extensive phylogenetically constrained and condition-specific expression profiles across many gene families and genes without any functional annotation. Such conserved expression patterns and other tightly co-expressed gene clusters let us assign expression derived functional descriptions to 64,620 genes with otherwise unknown functions. The ever-expanding Gene Atlas resource is available at JGI Plant Gene Atlas (https://plantgeneatlas.jgi.doe.gov) and Phytozome (https://phytozome-next.jgi.doe.gov), providing bulk access to data and user-specified queries of gene sets. Combined, these web interfaces let users access differentially expressed genes, track orthologs across the Gene Atlas plants, graphically represent co-expressed genes, and visualize gene ontology and pathway enrichments.

plant biology↗

bioRxiv2022

Somatostatin peptide signaling dampens cortical circuits and promotes exploratory behavior

Somatostatin (SST) neurons in the prelimbic (PL) cortex mediate a variety of behavioral states. However, little is known about the actions of somatostatin peptide signaling in shaping cortical functioning and behavior. Here, we sought to characterize the unique physiological and behavioral roles of the SST peptide in the PL cortex. We employed a combination of ex vivo pharmacologic and optogenetic electrophysiology, in vivo calcium monitoring, and in vivo peptide pharmacology to explore the role of SST neuron and peptide signaling in the mouse PL cortex. Whole-cell slice electrophysiology was conducted in pyramidal and GABAergic neurons in the PL cortex of C57BL/6J and SST-IRES-Cre male and female mice to characterize the pharmacological mechanism of SST signaling. Fiber photometry of GCaMP6f fluorescent calcium signals from SST neurons was conducted to characterize the activity profile of SST neurons during exploration of an elevated plus maze (EPM) and open field test (OFT). We further used local delivery of both a broad SST receptor (SSTR) agonist and antagonist into bilateral PL cortex to test causal effects of SST administration and receptor blockade on these same exploratory behaviors. SSTR activation broadly hyperpolarized layer 2/3 pyramidal neurons in the PL cortex in both male and female mice ex vivo, an effect that was recapitulated with optogenetic stimulation of SST neurons, through both monosynaptic and polysynaptic GABA neuron-mediated mechanisms of action. This hyperpolarization was blocked by pre-application of the SSTR antagonist cyclo-somatostatin (cyclo-SST) and was non-reversible. SST neurons in PL were activated during EPM and OFT exploration, indicating task-related recruitment of these neurons. Lastly, in line with this exploration-related activity profile, SSTR agonist administration directly into the PL enhanced open arm exploration in the EPM, while in vivo administration of an antagonist had no effect. Together, this work describes a broad ability for SST peptide signaling to modulate microcircuits within the prefrontal cortex and related exploratory behaviors.

neuroscience↗