The comprehensive insights into the B-cells-mediated immune response against COVID-19 infection amid the ongoing evolution of SARS-CoV-2

The antibody-mediated immune response is crucial for the development of protective immunity against SARS-CoV-2, the virus responsible for the COVID-19 pandemic. Understanding the interaction between SARS-CoV-2 and the immune system is critical because new variants emerge as a result of the virus's ongoing evolution. Understanding the function of B cells in the SARS-CoV-2 infection process is critical for developing effective and long-lasting vaccines against this virus. Triggered by the innate immune response, B cells transform into memory B cells (MBCs). It is fascinating to observe how MBCs provide enduring immune defence, not only eradicating the infection but also safeguarding against future reinfection. If there is a lack of B cell activation or if the B cells are not functioning properly, it can lead to a serious manifestation of the disease and make immunisation less effective. Individuals with disruptions in the B cells have shown increased production of cytokines and chemokines, resulting in a poor prognosis for the disease. Therefore, we have developed an updated review article to gain insight into the involvement of B cells in SARS-CoV-2 infection. The discussion has covered the generation, functioning, and dynamics of neutralising antibodies (nAbs). Furthermore, we have emphasised immunotherapeutics that rely on nAbs.

Quantitative serum proteomic analysis for biomarker discovery in post-COVID-19 postural orthostatic tachycardia syndrome (PC-POTS) patients

Postural orthostatic tachycardia syndrome (POTS) is a chronic, debilitating condition that is characterized by an excessive increase in heart rate upon orthostatic challenge. Before the COVID-19 pandemic, POTS affected 0.5 % to 1 % of the U.S. population. Since the pandemic, the incidence has risen sharply, adding an estimated 6-7 million new cases in the U.S. Despite its importance, there is currently no reliable biomarker for POTS, leading to significant diagnostic delays. A major hurdle in identifying biomarkers is the heterogeneous nature of the syndrome. To address this, we focused on a homogeneous subgroup of post-COVID-19 POTS (PC-POTS) patients. We conducted quantitative proteomics on sera from 9 PC-POTS patients and 9 healthy controls, identifying 31 proteins with significantly different abundances in PC-POTS patients. Most elevated proteins were linked to actin filaments or immune functions/inflammation. Weighted Gene Co-Expression Network Analysis revealed module 7 (M7) correlated strongly with PC-POTS diagnosis and related traits. The key proteins in M7 included MTPN, TAGLN2, ADP-ribosylation factor 1, PDLIM1, PPIA, CNN2, LGALSL, TXN, TLN1, TUBA4A, IL4, TREML1, GP1BA, and, all highly correlated with these traits. Cell-type enrichment analysis revealed that M7 was highly associated with immune and neuronal cells. The main pathways identified in M7 included the integrin signaling pathway, blood coagulation, and glycolysis. These findings suggest that the key proteins in M7 could serve as biomarkers for PC-POTS. This study uses quantitative proteomics to identify potential biomarkers that differentiate PC-POTS patients from healthy controls, establishing a foundation for further research and validation.

Seaweeds: Nature's super therapeutics? Immunomodulatory and anti-viral properties of sulfated rhamno xyloglucuronan isolated from Ulva fasciata Delile

Green seaweeds, which constitute a significant portion of the global seaweed population, exhibit a wide range of therapeutic properties. The study aimed to isolate a (1 → 4) linked sulfated rhamno xyloglucuronan, designated as UFP-2, from the edible green seaweed Ulva fasciata Delile, and to evaluate its efficacy in modulating immune responses and inhibiting infection by the SARS-CoV-2 Delta variant. Anti-inflammatory potential of UFP-2 was demonstrated through the regulation of key cytokines involved in inflammatory responses triggered by viral infections, including interferons (IFN-α/γ), interleukin (IL-1β/12/33), and tumor necrosis factor (TNF-α). Confocal microscopy and flow cytometry analyses indicated downregulation of IFN-α and IL-1β, while TNF-α expression reduced from 29.28 % in lipopolysaccharide (LPS)-induced CALU-1 cells to 1.6-5.4 %, upon UFP-2 treatment. Treatment with UFP-2 at 125 μg/mL significantly downregulated the overexpression of IL-1β level in SARS-CoV-2-infected CALU-1 cells. Administering UFP-2 to SARS-CoV-2 (delta variant) induced cells led to a higher cycle threshold (Ct) values (20.34), indicating reduced viral load, with viral copy numbers decreasing from over 6.5 × 107 to <2.5 × 107 per cell. Structure-activity relationship analysis indicates that the sulfate groups and overall hydrophilicity of UFP-2 may enhance its binding affinity to target receptors, potentially disrupting viral entry and replication processes.

Betulin: a novel triterpenoid anti-cancerous agent targeting cervical cancer through epigenetic proteins

Worldwide, cervical cancer (CCa) is a major killer of women. As the conventional drugs used to treat cervical cancer are expensive and expose severe side effects, there is a growing demand to search for novel modifications. Therefore, in the current investigation employing a bioinformatic approach, we explored triterpenoids for their anti-cancer efficacy by targeting cervical cancer epigenetic proteins, namely DNMT3A, HDAC4, and KMT2C. The study utilized molecular docking, ADMET assay, Molecular Dynamic simulation, and DFT calculation to unveil Betulin (BE) as the potential lead compound. Comparative analysis with that standard drug indicated that BE has a better glide score with the target protein KM2TC (- 9.893 kcal/mol), HDAC4 (- 9.720 kcal/mol), and DNMT3A (- 7.811 kcal/mol), which depicts that BE could be a potent inhibitor of these three epigenetic proteins and exhibits favorable pharmacokinetic, pharmacodynamics and toxicity properties. Molecular Dynamics simulation revealed noteworthy structural stability and compactness. DFT analysis revealed higher molecular activity of BE and showed the most increased kinetic stability (δE = 0.254647 eV). Further, we employed In vitro analysis through MTT assay and found that BE has IC50 of 15 µg/ml. In conclusion, BE can potentially treat CCa upon further investigations using in vivo models for better understanding.

Zn (II) complex with vanillin derived Schiff base: antifungal, antibacterial, antioxidant and anticholinesterase activities

AIM

To synthesize and characterize a Schiff base derived from vanillin and tris(hydroxymethyl)aminomethane (VTRIS) and the Zinc (II) complex [Zn(VTRIS)2](CH3COO)2.

MATERIALS AND METHODS

VTRIS and the Zn (II) complex were synthesized through condensation and complexation reactions, respectively. Structures were confirmed by electron spectroscopy in the UV-Vis, FT-IR and NMR regions. Toxicity was evaluated in Artemia salina, antimicrobial activity was evaluated by microdilution assay, ABTS and DPPH methods were used for antioxidant effect and the anticholinesterase potential was investigated.

RESULTS

VTRIS and the complex showed low toxicity in Artemia salina (LC50 = 698.56 and 543.88, respectively). VTRIS did not show antifungal or antibacterial activity, but the complex showed MICs ranging from 32 to 128 μg/mL against Cryptococcus neoformans and Candida spp. and 512 μg/mL against Staphylococcus aureus, demonstrating an antimicrobial effect improvement after coordination to the metal center. VTRIS and the complex showed excellent results as antioxidant molecules, and the complex presented lower values than the standard quercetin in the ABTS method (IC50 = 1.08 and 1.63 μg/mL, respectively). VTRIS and the complex showed anticholinesterase potential of 1.93 and 1.83 μg/mL.

CONCLUSION

Zn complexation potentiates VTRIS, and this compound exhibits promising antimicrobial, antioxidant, and anticholinesterase activities at nontoxic concentrations.

Knowledge, attitudes and practices of the general population towards Marburg virus disease in sub-Saharan African countries: a cross-sectional study

BACKGROUND

Marburg virus disease (MVD) is categorized among viral hemorrhagic fevers. MVD is associated with high rates of morbidity and mortality. This study aimed to identify factors affecting MVD knowledge, attitudes and practices in sub-Saharan African countries.

METHODS

Using a validated questionnaire, a cross-sectional survey was conducted from 21 April to 23 May 2023 in eight English-speaking sub-Saharan African countries (Ethiopia, Ghana, Kenya, Lesotho, Nigeria, Senegal, South Africa and Tanzania).

RESULTS

Of 3142 participants, 51% were males, 66.0% were aged 18-29 y, 74.4% were living in urban areas, 47.9% completed their university education and 21.7% were healthcare workers (HCWs). Tanzanians had the highest good knowledge (89%), while Kenyans had the lowest (26%). Tanzanians had the highest positive attitude (82%), while Nigerians had the highest negative attitude (95%). The best practices exhibited were by Ethiopians (70%), and the poorest practices exhibited were by Ghanaians (94%). The predictors of good knowledge were marital status (adjusted OR [aOR]=0.75; 95% CI 0.59 to 0.94; p=0.013), knowing the correct mode of transmission (aOR=18.31; 95% CI 13.31 to 25.66; p<0.001), whether the participant has heard before about MVD (aOR=2.24; 95% CI 1.82 to 2.75; p<0.001), whether they modified their working habits (aOR=2.79; 95% CI 2.12 to 3.67; p<0.001), nationality (p<0.001) and being a HCW (aOR=2.71; 95% CI 2.01 to 3.67; p<0.001). The predictors of good attitude were being female (aOR=0.71; 95% CI 0.60 to 0.85; p<0.001), age (aOR=0.99; 95% CI 0.98 to 0.99; p=0.01), place of residence (aOR=3.13; 95% CI 2.46 to 3.99; p<0.001), level of education (aOR=1.67; 95% CI 1.37 to 2.04; p<0.001), knowing the correct mode of transmission (aOR=1.59; 95% CI 1.28 to 1.98; p<0.001), modification of working habits (aOR=1.30; 95% CI 1.01 to 1.68; p=0.039) and nationality (p<0.001). The predictors of practice were being female (aOR=1.17; 95% CI 1.01 to 1.37; p=0.042), place of residence (aOR=1.23; 95% CI 1.02 to 1.48; p=0.033), marital status (aOR=0.65; 95% CI 0.55 to 0.78; p<0.001), knowing the correct mode of transmission (aOR=0.46; 95% CI 0.38 to 0.56; p<0.001), modification of working habits (aOR=0.40; 95% CI 0.32 to 0.49; p<0.001) and occupation (aOR=0.37; 95% CI 0.30 to 0.46; p<0.001).

CONCLUSIONS

Different modifiable and non-modifiable risk factors can be targeted to improve population perspectives towards MVD.

Insights into Long COVID: Unraveling Risk Factors, Clinical Features, Radiological Findings, Functional Sequelae and Correlations: A Retrospective Cohort Study

BACKGROUND

The long-term symptomatology of COVID-19 has yet to be comprehensively described. The aim of the study was to describe persistent COVID-19 symptoms in a cohort of hospitalized and home-isolated patients.

METHODS

A retrospective cohort study was conducted on long COVID patients. Long COVID symptoms were identified, and patients were divided into hospitalized (in-patients) and home-isolated (out-patients), as well as according to the number of symptoms. Patients were examined by a multidisciplinary medical team. Blood tests, high resolution chest computed tomography (CT), and physical and infectious examinations were performed. Finally, in-patients were evaluated at 2 time-points: on hospital admission (T0) and 3 months after discharge (Tpost).

RESULTS

There were 364 COVID-19 patients enrolled; 82% of patients reported one or more symptoms. The most reported symptom was fatigue. Chest CT showed alteration in 76% of patients, and pulmonary function alterations were observed in 44.7% of patients. A higher risk of presenting at least one symptom was seen in patients treated with corticosteroid, and a higher risk of presenting chest CT residual lesion was observed in hospitalized patients and in patients that received hydroxychloroquine treatment. Moreover, a higher risk of altered pulmonary function was observed in older patients.

CONCLUSION

Long-term sequelae are present in a remarkable number of long COVID patients and pose a new challenge to the health care system to identify long-lasting effects and improve patients' well-being. Multidisciplinary teams are crucial to develop preventive measures, and clinical management strategies.

Clinical presentation of Oropouche virus infection: A systematic review and meta-analysis

BACKGROUND

The recent surge in incidence and geographic spread of OROV infections poses an escalating threat to global public health. However, studies exploring the clinical signs of OROV infection remains exceedingly limited.

METHODS

We searched for OROV studies published until June 17, 2024, in several electronic databases including MEDLINE, EMBASE, SCOPUS, and the Cochrane Library.

RESULTS

In total, 15 studies involving 806 patients with OROV infection were eligible for inclusion. General symptoms with fever and headache were the most common. Gastrointestinal disturbances like nausea/vomiting, anorexia, and odynophagia were also prevalent, along with ocular symptoms, mainly retro-orbital pain, photophobia, and redness. Respiratory symptoms, such as cough, sore throat and nasal congestion, are present, and skin-related issues like rash, pruritus, and pallor were also identified.

CONCLUSION

Overall, this study provides a foundational understanding of OROV's clinical manifestations to guide diagnosis, management, and public health interventions against this neglected tropical disease.

Identification of novel influenza virus H3N2 nucleoprotein inhibitors using most promising epicatechin derivatives

Influenza A virus is a leading cause of acute respiratory tract infections, posing a significant global health threat. Current treatment options are limited and increasingly ineffective due to viral mutations. This study aimed to identify potential drug candidates targeting the nucleoprotein of the H3N2 subtype of Influenza A virus. We focused on epicatechin derivatives and employed a series of computational approaches, including ADMET profiling, drug-likeness evaluation, PASS predictions, molecular docking, molecular dynamics simulations, Principal Component Analysis (PCA), dynamic cross-correlation matrix (DCCM) analyses, and free energy landscape assessments. Molecular docking and dynamics simulations revealed strong and stable binding interactions between the derivatives and the target protein, with complexes 01 and 81 exhibiting the highest binding affinities. Additionally, ADMET profiling indicated favorable pharmacokinetic properties for these compounds, supporting their potential as effective antiviral agents. Compound 81 demonstrated exceptional quantum chemical descriptors, including a small HOMO-LUMO energy gap, high electronegativity, and significant softness, suggesting high chemical reactivity and strong electron-accepting capabilities. These properties enhance Compound 81's potential to interact effectively with the H3N2 nucleoprotein. Experimental validation is strongly recommended to advance these compounds toward the development of novel antiviral therapies to address the global threat of influenza.

Enteral nutrition therapy for elderly patients with common-type COVID-19, a retrospective study based on medical records

BACKGROUND

The objective was to investigate the implications of enteral nutrition for elderly patients with common-type coronavirus disease 2019 (COVID-19).

METHODS

Data were retrospectively extracted from medical records. Enteral nutritional supplementation was recommended for patients with a nutritional risk score >3. The preferred method was oral administration, and preparations included Ensure and TPF-T. Continuous variables were compared using analysis of two-tailed Student's t-tests or one-way analysis of variance for normally distributed data and the rank sum test for non-normally distributed data. Categorical variables were compared using the χ2 test or Fisher's exact test. Values of p <0.05 were considered to be statistically significant.

RESULTS

The mortality rate in the whole cohort was 9.54%. A total of 474 patients tested negative and were discharged; among them, 173 patients received enteral nutrition while 301 patients did not. There were significant correlations between mortality and age, serum albumin concentration, prognostic nutritional index, underlying severe disease status and diet condition. In patients with a poor diet, early use of enteral nutrition is associated with faster conversion to a negative polymerase chain reaction test.

CONCLUSIONS

The prognosis of elderly patients with common-type COVID-19 was related to their nutritional status. Enteral nutritional supplementation is the preferred method of nutrition because it is the simplest and most widely accepted method for patients. For patients with poor diet conditions, enteral nutritional intervention should be performed early.

Advancing CRISPR genome editing into gene therapy clinical trials: progress and future prospects

Genome editing has recently evolved from a theoretical concept to a powerful and versatile set of tools. The discovery and implementation of CRISPR-Cas9 technology have propelled the field further into a new era. This RNA-guided system allows for specific modification of target genes, offering high accuracy and efficiency. Encouraging results are being announced in clinical trials employed in conditions like sickle cell disease (SCD) and transfusion-dependent beta-thalassaemia (TDT). The path finally led the way to the recent FDA approval of the first gene therapy drug utilising the CRISPR/Cas9 system to edit autologous CD34+ haematopoietic stem cells in SCD patients (Casgevy). Ongoing research explores the potential of CRISPR technology for cancer therapies, HIV treatment and other complex diseases. Despite its remarkable potential, CRISPR technology faces challenges such as off-target effects, suboptimal delivery systems, long-term safety concerns, scalability, ethical dilemmas and potential repercussions of genetic alterations, particularly in the case of germline editing. Here, we examine the transformative role of CRISPR technologies, including base editing and prime editing approaches, in modifying the genetic and epigenetic codes in the human genome and provide a comprehensive focus, particularly on relevant clinical applications, to unlock the full potential and challenges of gene editing.

Mathematical analysis of scrub typhus seasonal infection with re-scaled transmission rate considering Northeast India reported data from 2010 to 2022

Healthcare reporting methods have seen a common problem with actual incidence of scrub typhus cases in Northeast India that were reported during post rainy season. We propose a Host-Vector model, a first of its kind, with a significant modification in the disease infection transmission rate. Our work aims to investigate a mathematical model by Atangana-Baleanu fractal-fractional operator that has seasonal pattern incorporating 2010-2022 data. The existence-uniqueness property is investigated using the fixed point theory, and also Ulam-Hyers stability is performed. Based on Lagrange's interpolation polynomial in the numerical scheme, a numerical investigation for various values of the fractional parameters is presented. The numerical simulation and phase plane trajectories demonstrates excellent performance of the suggested model as the number of individuals who recover rises gradually after herd immunity threshold points and turning points. Furthermore, the information gathered here may be useful for enhancing spatiotemporally dynamic scrub typhus disease models.

Systematically investigate the mechanism underlying the therapeutic effect of emodin in treatment of prostate cancer

OBJECTIVE

To systematically investigate the mechanism underlying the therapeutic effect of emodin in treatment of prostate cancer.

METHODS

Combine network pharmacology, molecular docking, molecular dynamics and experimental verification to explored the mechanism. Using the network pharmacology method, through the TCMSP, DisGeNET and Genecards database, the corresponding targets and related signaling pathways of emodin were screened, and emodin and core targets were studied by molecular docking and molecular dynamics uasing Cytoscape 3.7.2 and other software. The biological processes, cellular components and molecular functions of the key targets were determined by GO enrichment analysis. KEGG enrichment analysis identified signaling pathways associated with key targets. GEPIA and Kaplan-Meier database were used to determine the relationship between the expression of core genes in normal people and prostate cancer patients and the prognosis of patients. Cell proliferation inhibition experiment was carried out by MTT method. The mRNA and protein levels of CASP3, TNF, IL1B, TP53, PPARG, and MYC in PC-3 cells were evaluated by RT-PCR and WB method respectively.

RESULTS

There were 31 common targets which closely related to emodin in the treatment of prostate cancer. PPI network analysis showed that MYC, PPARG, TP53, TNF, CASP3, IL1B were the core targets. Go and KEGG enrichment analysis showed that pathways in cancer and IL-17 signaling pathway were the key pathways. Molecular docking and molecular dynamics results indicated that emodin had good binding to prostate cancer and 6 core proteins, and the binding force with TP53 protein was the strongest and most stable. The expression of CASP3 protein in normal people was stronger than that in patients with prostate cancer, and the expression of TP53 protein was closely related to the survival rate of patients with prostate cancer. Experimental verification result revealed that EM significantly increased mRNA expressions of CASP3, PPARG and decreased protein expressions of TNF, TP53, MYC at concentrations ranging from 0.1 to 1.6 μmol/L. Emodin significantly increased protein expressions of CASP3, PPARG and decreased protein expressions of TNF, TP53, MYC, IL1B at concentrations ranging from 10 to 160 µmol/L.

CONCLUSION

Emodin and TP53 have the best binding and stable conformation among core genes. Emodin exhibits a significant inhibitory effect on PC-3 cells at concentration 0.4 ~ 1.6 μmol/L. It showed that anti-prostate cancer properties by regulating cancer and 1L-17 signaling pathway through up-regulating the expressions of CASP3, PPARG genes/proteins, down-regulating IL1B, TP53, TNF, MYC genes/proteins.

Explorations on Antioxidant, Enzyme Inhibitory, and Calf Thymus DNA Interaction Studies of Dioxomolybdenum(VI) Organo Complexes

Since time immemorial, it has been well established that reactive oxygen species play a key role in the pathogenesis of various cancer types and metabolic diseases like diabetes. Hence, the control of free radical generation is considered one of the viable strategies to combat the onset of diabetes and cancer progression. In this context, we have synthesized and characterized two salen-type ligands and their corresponding dioxomolybdenum(VI) complexes. The complexes are evaluated for antioxidant efficacy, α-amylase inhibitory potential, DNA-binding ability, and cytotoxicity studies. The optimized geometry of the complexes based on electron density distributions of the frontier molecular orbitals is ascertained using DFT studies. The DPPH and H2O2 assays show comparable antioxidant efficacies for both the complexes, comparable to that of the standard. Similarly, the complexes show comparable α-amylase inhibitory activities, showcasing higher activity than acarbose. Furthermore, the DNA interaction study reveals a higher binding affinity for ligand 2 and complex 2 as observed by their binding constant values. The ligands and the complexes have shown a hyperchromic effect, indicating preferential binding to the grooves of the double helix of DNA. The MTT assay against MCF-7 cancer cell lines reveals that complex 1 shows an excellent cytotoxic effect, higher than cisplatin.

Streptomyces sp. VITGV156 secondary metabolite binds pathogenic protein PBP2a and Beta-lactamase

Introduction

The genus Streptomyces is renowned for its prolific production of bioactive compounds, including antibiotics and secondary metabolites with pharmaceutical applications. This study focuses on Streptomyces sp. VITGV156, an isolate with promising antimicrobial properties, aiming to characterize its genomic potential and bioactive compounds through computational and experimental analyses.

Methods

Genomic sequencing of Streptomyces sp. VITGV156 was performed to identify biosynthetic gene clusters (BGCs) associated with secondary metabolite production. Antimicrobial assays were conducted using crude extracts against Gram-positive and Gram-negative pathogens. Gas Chromatography-Mass Spectrometry (GC-MS) was employed to identify secondary metabolites. Additionally, ADME (Absorption, Distribution, Metabolism, and Excretion) analysis and molecular docking studies were conducted to assess drug-like properties and binding affinities of selected compounds against bacterial target proteins (PDB IDs: 5M18 and 6NVU).

Results

The genome of Streptomyces sp. VITGV156 was determined to be 8.18 Mb with a G+C content of 72.61%, containing 29 BGCs responsible for the biosynthesis of antimicrobial agents such as nystatin and fluostatins. In vitro antimicrobial assays confirmed strong efficacy of crude extracts against various pathogens, with Escherichia coli exhibiting the highest susceptibility. Molecular docking studies of 45 identified secondary metabolites revealed binding affinities ranging from -4.0 to -7.5 kcal/mol (5M18) and -3.9 to -7.2 kcal/mol (6NVU). Among the identified compounds, squalene (ligand 43) displayed potent antibacterial and antifungal activity, whereas 2,5-piperazinedione, 3-(hydroxymethyl)-6-(phenylmethyl)- (ligand 40) exhibited strong antifungal potential. Conversely, fumaric acid, monoamide, N-benzyl-N-phenylethyl-, ethyl ester (ligand 38) demonstrated weak antifungal activity.

Discussion

The genomic and bioactive analysis of Streptomyces sp. VITGV156 highlights its potential as a valuable source of novel antimicrobial agents. The identification of unique biosynthetic genes and bioactive secondary metabolites suggests its possible application in combating multidrug-resistant pathogens. Further studies, including purification and in vivo testing, are necessary to validate these findings and explore their therapeutic potential.

Role of toll-like receptors in post-COVID-19 associated neurodegenerative disorders?

In the intricate realm of interactions between hosts and pathogens, Toll-like receptors (TLRs), which play a crucial role in the innate immune response, possess the ability to identify specific molecular signatures. This includes components originating from pathogens such as SARS-CoV-2, as well as the resulting damage-associated molecular patterns (DAMPs), the endogenous molecules released after cellular damage. A developing perspective suggests that TLRs play a central role in neuroinflammation, a fundamental factor in neurodegenerative conditions like Alzheimer's and Parkinson's disease (PD). This comprehensive review consolidates current research investigating the potential interplay between TLRs, their signaling mechanisms, and the processes of neurodegeneration following SARS-CoV-2 infection with an aim to elucidate the involvement of TLRs in the long-term neurological complications of COVID-19 and explore the potential of targeting TLRs as a means of implementing intervention strategies for the prevention or treatment of COVID-19-associated long-term brain outcomes.

Inhibition potential of margolonone and isomargolonone against the dengue virus protease using molecular modeling approaches

Background

Dengue is a mosquito-borne viral disease with no cure. Inhibiting key enzymes vital in replication could manage the dengue virus infection. This study investigated the potential of margolonone and isomargolonone from Azadirachta indica to inhibit dengue virus replication.

Methods

The 3D structure of margolonone and isomargolonone were obtained from the PubChem database. The drug-likeness properties of these molecules were performed using a Swiss-ADME server. The molecular docking and molecular dynamics simulation assessed binding affinity and interactions.

Results

The drug-likeness of parameters showed that Margolonone and isoMargolonone showed zero violation of Lipinski rules. Docking simulations showed that both compounds bind to the active site of a critical enzyme (NS3 protease) essential for viral replication. Molecular dynamics simulations suggested that isomargolonone may bind more stably to NS3 than margolonone. Additionally, MMPBSA analysis showed that Margolonone does not show favorable binding energy.

Conclusion

These findings warrant further investigation of isomargolonone as a potential anti-dengue drug. Further in-vitro and in-vivo evaluations need to be done before accepting it as drug molecules.

Mpox-XDE: an ensemble model utilizing deep CNN and explainable AI for monkeypox detection and classification

The daily surge in cases in many nations has made the growing number of human monkeypox (Mpox) cases an important global concern. Therefore, it is imperative to identify Mpox early to prevent its spread. The majority of studies on Mpox identification have utilized deep learning (DL) models. However, research on developing a reliable method for accurately detecting Mpox in its early stages is still lacking. This study proposes an ensemble model composed of three improved DL models to more accurately classify Mpox in its early phases. We used the widely recognized Mpox Skin Images Dataset (MSID), which includes 770 images. The enhanced Swin Transformer (SwinViT), the proposed ensemble model Mpox-XDE, and three modified DL models-Xception, DenseNet201, and EfficientNetB7-were used. To generate the ensemble model, the three DL models were combined via a Softmax layer, a dense layer, a flattened layer, and a 65% dropout. Four neurons in the final layer classify the dataset into four categories: chickenpox, measles, normal, and Mpox. Lastly, a global average pooling layer is implemented to classify the actual class. The Mpox-XDE model performed exceptionally well, achieving testing accuracy, precision, recall, and F1-score of 98.70%, 98.90%, 98.80%, and 98.80%, respectively. Finally, the popular explainable artificial intelligence (XAI) technique, Gradient-weighted Class Activation Mapping (Grad-CAM), was applied to the convolutional layer of the Mpox-XDE model to generate overlaid areas that effectively highlight each illness class in the dataset. This proposed methodology will aid professionals in diagnosing Mpox early in a patient's condition.

Chemoinformatics analysis of Mangifera indica leaves extracted phytochemicals as potential EGFR kinase modulators

Breast cancer, being among the most frequent and fatal cancers in women, is an enormous issue globally. The critical requirement for novel treatment methods is underscored by its high mortality rate and relentless advancement. Even though breast cancer is one of the world's most common causes of death, the therapeutic avenue is still limited. The aim of this work is to investigate the potential inhibitory effects of specific compounds present in leaf extract from Mangifera indica on the growth of drug-resistant breast cancer protease PDB ID 3w32. The chemical compounds present in Mangifera indica leaves were used to analyze using molecular modeling techniques, such as molecular docking, molecular dynamics (MD) simulations, quantum mechanics (QM) calculations, and the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) method, in order to examine three key chemical constituents: quercetin (08), catechin (09), and elagic acid (10). The ligands undergo extensive testing to figure out how effective they are against the 3w32-overexpressing breast cancer protein. Quantum calculations retaining HOMO-LUMO analysis might identify important characteristics of molecules, such as chemical potential, electronegativity, hardness, softness, and orbital energy gaps. According to the molecular docking inquiry, ligands 08, 09, and 10 are strong candidates with strong binding affinity for the breast cancer protein that overexpresses 3w32. The protein binding site stability of the chosen natural ligands was verified by MD simulation. These three ligands not only surpass the efficacy of the FDA-approved treatment, but also fulfill the requirements for a possible new inhibitor of breast cancer.

LncRNA MALAT1's role in the development of retinopathy: A review

Long noncoding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and retinopathy are 2 distinct yet interconnected areas of research in the field of ocular studies. MALAT1, with its diverse biological functions, has been extensively studied and demonstrated to play a role in various diseases, including ocular pathologies. Its involvement in alternative splicing regulation, transcriptional control, and the competing endogenous RNA (ceRNA) network suggests its potential implication in retinopathy. Retinopathy refers to a group of disorders that affect the retina, leading to vision impairment and, in severe cases, even blindness. These conditions include diabetic retinopathy, retinoblastoma, proliferative vitreoretinopathy, retinopathy of prematurity, and retinal neurodegeneration. The understanding of the molecular mechanisms underlying the development and progression of retinopathy, along with the potential involvement of MALAT1, can provide valuable insights for the diagnosis and treatment of this condition. Retinopathy, characterized by various manifestations and underlying mechanisms, presents a significant challenge in the field of ophthalmology. As a complex disease, its pathogenesis involves multifactorial factors, including angiogenic dysregulation, inflammatory responses, oxidative stress, and cellular signaling abnormalities. The emerging role of long noncoding RNA MALAT1 in retinopathy has attracted considerable attention. MALAT1 has been found to participate in multiple cellular processes, including alternative splicing regulation and transcriptional control. Additionally, the competing endogenous RNA (ceRNA) network involving MALAT1 indicates its potential relevance as a regulator in retinopathy. Further investigations into the specific mechanisms underlying MALAT1's involvement in retinopathy pathogenesis may provide valuable insights into the development of diagnostic and therapeutic approaches for managing retinal disorders.

The economic burden of scrub typhus disease among the tribal ethnic groups (Mizo) of Mizoram State, Northeast India

BACKGROUND

Orientia tsutsugamushi is the pathogen of scrub typhus, a rickettsial infection that poses a serious threat to many countries including India where the disease case-fatality was as high as 6%. The present study was aimed at determining the prevalence of scrub typhus disease and estimating the economic impact of the disease among the Mizo tribe of Mizoram State, Northeast India.

MATERIALS & METHODS

The present study was a three-year retrospective, cross-sectional study conducted in 10 selected PHCs of Mizoram. The line-listing data of three years (2021-2023) on scrub typhus was used for the epidemiological investigation. The minimum economic burden of scrub typhus was evaluated using data collected by personal interviews with the scrub typhus survivors among the Mizo tribe.

RESULTS

A total of 22870 scrub typhus cases were recorded among the tribal ethnic groups (Mizo) in Mizoram State in the year 2021-2023, with an annual incidence of 571.48 per 100,000 persons. A positive relationship between age and disease incidence was observed, with a higher burden (1964.5 per 100,000 persons) among the elderly population (70 + years). The disease incidence rate also showed increasing trend and seasonality, with the peak of cases during August-October. The overall three years economic burden was found to be US$ 730,003.80, with an average annual economic burden of US$ 243,334.60 contributing 0.08% of the gross state domestic product (GSDP). An increasing trend in scrub typhus economic burden was observed during the study period.

CONCLUSIONS

According to the current study, Mizoram State's tribal ethnic groups have a remarkably high incidence rate of scrub typhus disease causing a significant financial impact. Therefore, prevention and control measures for the disease are unavoidable.

Impact in the humoral and cellular immune response to SARS-CoV-2 variants after primary vaccination with AZD1222/COVISHIELD protocol in healthy adults

SARS-CoV-2 emerged rapidly as a pandemic, leading to the urgent development and authorization for the use of several vaccines, with questions relating to immunogenicity in previously infected people or to virus variants. As such, we sought to determine the humoral and cellular immune response of healthy adults to distinct SARS-CoV-2 variants upon AZD1222/COVISHIELD vaccination, using chemiluminescence (CMIA), neutralizing antibody (PRNT) and analysis of activation-induced marker (AIM) by flow cytometry, respectively. We enrolled 75 volunteers, including 26 individuals previously infected with SARS-CoV-2. Our findings demonstrated that AZD1222 vaccine induced increased levels of SARS-CoV-2-specific antibodies after two-dose vaccination scheme, as detected by CMIA (mean = 49 BAU/mL to 743 BAU/mL) and PRNT (GMT = 3, 95 % CI 2-4, to 19, 11-34). After vaccination, all volunteers presented detectable antibodies by CMIA while only 64 % presented positive PRNT. Seroconversion rates were 91 % and 48 % by CMIA and 59 % by PRNT after the first and second dose, respectively. The PRNT to Delta variant demonstrated lower titers as compared to Wuhan-like and a seroconversion of 57 %. Although by CMIA all volunteers were classified as high responders, some volunteers showed no response by PRNT and AIM. In general, previously infected volunteers had higher post-vaccination antibody titers after each dose. CD4+ T cell response was generally higher than CD8+ T cells for all variants. Overall, we observed that AZD1222 vaccination induced cross-reactivity to SARS-CoV-2 variants, in both cellular and humoral responses. During volunteer follow-up, we observed that the elevated antibody titers are lasting and were incremented by the first booster. In conclusion, our findings showed that AZD1222 vaccine was able to induce a robust immune response upon primary immunization, with cross-reactivity for the Delta VOC.

T and B cell responses in different immunization scenarios for COVID-19: a narrative review

Vaccines against COVID-19 have high efficacy and low rates of adverse events. However, none of the available vaccines provide sterilizing immunity, and reinfections remain possible. This review aims to summarize the immunological responses elicited by different immunization strategies, examining the roles of homologous and heterologous vaccination and hybrid immunity. Homologous vaccination regimens exhibit considerable variation in immune responses depending on the vaccine platform, particularly concerning antibody titers, B cell activation, and T cell responses. mRNA vaccines, such as mRNA-1273 and BNT162b2, consistently generate higher and more durable levels of neutralizing antibodies and memory B cells compared to adenovirus-based vaccines like Ad26.COV2.S and ChAdOx1. The combination of two distinct vaccine platforms, each targeting different immune pathways, seems to be more effective in promoting long-lasting B cell responses and potent T cell responses. The high heterogeneity of the available studies, the different dosing schemes, the succession of new variants, and the subjects' immunological background do not allow for a definitive conclusion. Overall, heterologous vaccination strategies, combining sequentially viral vector and mRNA may deliver a more balanced and robust humoral and cellular immune response compared to homologous regimens. Hybrid immunity, which arises from SARS-CoV-2 infection preceded or followed by vaccination produces markedly stronger immune responses than either vaccination or infection alone. The immune response to SARS-CoV-2 variants of concern varies depending on both the vaccine platform and prior infection status. Hybrid immunity leads to a broader antibody repertoire, providing enhanced neutralization of variants of concern. Heterologous vaccination and hybrid immunity may provide further opportunities to enhance immune responses, offering broader protection and greater durability of immunity. However, from all-cause mortality, symptomatic or severe COVID, and serious adverse events at present it is not possible to infer different effects between homologous and heterologous schemes. Next-generation vaccines could involve tweaks to these designs or changes to delivery mechanisms that might improve performance.

Characterizing HLA-A2-restricted CD8+ T-cell epitopes and immune responses to Omicron variants in SARS-CoV-2-inactivated vaccine recipients

Introduction

Recent surveillance has identified the emergence of the SARS-CoV-2 Omicron ariant, which exhibits the ability to evade multiple neutralizing antibodies generated by prior infection or vaccination. However, significant knowledge gaps remain regarding the CD8 T-cell immune reactivity to the Omicron variant. This study aims to evaluate the characteristics of HLA-A2-restricted CD8 T-cell epitopes from the Omicron variant and analyze epitope-specific CD8 T-cell responses to SARS-CoV-2 inactivated vaccines.

Methods

We conducted a comprehensive analysis of CD8 T-cell responses to SARS-CoV-2 inactivated vaccines, focusing on HLA-A2-restricted epitopes derived from the Omicron variant. Mutant epitopes were evaluated for their impact on antigen presentation and CD8 T-cell immune reactivity. Additionally, we screened for epitopes that exhibited reduced CD8 T-cell responses following the emergence of the Omicron variant.

Results

Our findings revealed that mutant epitopes in the Omicron variant led to escape from antigen presentation and diminished CD8 T-cell immune responses. We identified two epitopes associated with decreased CD8 T-cell reactivity post-Omicron variant emergence. Notably, we discovered an S protein epitope, 67A>V, which demonstrated similar proportions of CD8 T-cell specificity between the ancestral and mutant strains, suggesting its conservation and potential immunogenicity for vaccine development. Furthermore, the third dose of the inactivated vaccine significantly increased the number of epitope-specific CD8 T cells, underscoring the importance of booster doses in enhancing cellular immune responses against the Omicron variant.

Discussion

This study highlights the ability of the Omicron variant to evade CD8 T-cell immune responses through epitope mutations, while also identifying conserved epitopes with potential utility in vaccine design. The observed increase in epitope-specific CD8 T cells following a booster dose emphasizes the critical role of additional vaccinations in strengthening cellular immunity against emerging SARS-CoV-2 variants. These findings provide valuable insights for the development of next-generation vaccines targeting conserved epitopes and optimizing booster strategies.

Measles-mumps-rubella-vaccination at 6 months of age induces measles-specific T cell responses: a randomized controlled trial

Background

Measles is a highly contagious viral disease, particularly severe in infants. Protection in early life is provided by maternally transferred antibodies, but this period is shorter in infants of previously vaccinated mothers (PVMs) compared to infants of previously measles-infected mothers (PIMs). Earlier measles-mumps-rubella (MMR) vaccination may compensate for this. To evaluate immune responses, 6-month-old infants were randomized to receive early MMR or placebo. This study reports the cellular immune outcomes and summarizes serological and T-cell responses.

Methods

A double-blind, randomized trial involved 6540 Danish infants aged 5-7 months, eligible if birth weight exceeded 1000 grams and gestational age was ≥32 weeks. Participants were randomized 1:1 to receive M-M-RVaxPro or placebo. Blood samples were collected before intervention, four weeks after intervention, and four weeks after routine MMR at 15 months. Peripheral blood mononuclear cells (PBMCs) were prepared, and an IFN-γ specific ELISpot assay measured measles-specific T cells.

Results

Among 750 infants (341 MMR, 409 placebo) in the cellular immunogenicity trial, a significant cellular immune response was observed one-month post-intervention in the MMR group compared to placebo (geometric mean ratio [GMR]: 12.3; 95% CI: 6.9-21.9). The cellular conversion rate (CCR) in the MMR group was 45%, comparable to the previously reported seroconversion rate. However, following routine MMR at 15 months, a reduced cellular response was observed in the early MMR group (GMR: 0.6; 95% CI: 0.3-0.9). Post-routine MMR, CCRs were 66% (MMR) and 74% (placebo). The immune conversion rate (ICR, defined as seroconversion and/or T-cell response) reached 99% in both groups post-routine MMR.

Conclusion

Early MMR at 6 months elicited significant measles-specific cellular responses, though the CCR was lower than after routine MMR at 15 months. However, when combining serological and cellular responses, 99% of infants achieved immune conversion by 15 months. Early MMR could help reduce measles burden in infants in endemic settings without compromising subsequent immunizations.

Clinical trial registration

ClinicalTrials.gov, identifier NCT03780179, EudraCT 2016-001901-18.

In silico evidence of monkeypox F14 as a ligand for the human TLR1/2 dimer

Recent emergence of zoonotic monkeypox virus (Mpox) in human has triggered the virologists to develop plausible preventive measures. Hitherto, our understanding on the mechanism of immunopathogenesis of Mpox infection is elusive. However, available experimental evidences suggest induction of inflammation as the main cause of pathogenesis. Toll-like receptors (TLRs) are critical in initiating and modulating the host immune response to pathogens. Inflammatory responses observed in various poxvirus infections have, in fact, been shown to be mediated through TLR activation. Therefore, by in silico approaches, this study seeks to identify the Mpox antigen(s) (MAg) that are most likely to interact with human cell-surface TLRs. The Mpox proteomics data available in UniProt database contain 174 protein sequences, among which 105 immunoreactive proteins were modeled for 3D structure and examined for comparative protein-protein interactions with the TLRs through molecular docking and molecular dynamics simulation. F14, an 8.28 kDa infective protein of Mpox, was found to exhibit strong binding affinity (ΔG=-12.5 Kcal mol-1) to TLR1/2 dimer to form a compact thermodynamically stable protein complex. Interestingly, a significant level of conformational change was also observed in both F14 and TLR6 while forming F14-TLR1/2 complex. Based on these data we propose F14 as a putative ligand of human TLR1/2 to initiate proinflammatory signaling in the Mpox-infected host.

Co-occurrence of qacEΔ1 disinfectant resistance gene and ARGs among Salmonella Indiana and its correlation with resistance to sodium hypochlorite

Sodium hypochlorite (SHC) is the most commonly utilized carcass and equipment disinfectant in the poultry industry. However, prolonged exposure to SHC can result in the development of bacterial tolerance and exert co-selection on antimicrobial resistance. This study investigated the co-resistance to SHC and multiple antimicrobial agents among Salmonella enterica serovar Indiana (S. Indiana), with a specific focus on the co-occurrence of disinfectant resistance gene qacEΔ1 and the antimicrobial resistance genes (ARGs) revealed by whole genome sequencing (WGS). Additionally, the study examined the transcriptional response of qacEΔ1 and its closely associated ARGs under SHC pressure. Moreover, the study determined the optimal SHC concentration for the decontamination of multidrug-resistant (MDR) S. Indiana on chicken. The results indicated that S. Indiana exhibited a resistance rate of 73.31 % to SHC, and varying levels of resistance to 13 antimicrobial agents. Furthermore, the analysis revealed a significant correlation between the qacEΔ1 gene and ARGs, including catB3, sul1, arr-3 and blaOXA-1. The genetic contexts surrounding the qacEΔ1 gene demonstrated a high degree of homology, allowing for the categorization into 11 distinct genetic context types, among which the gene cluster aacA4-blaOXA-1-catB3-arr-3-qacEΔ1-sul1 was the most prevalent. Further analysis of the MDR IndS97 strain using PacBio SMRT sequencing revealed that the qacEΔ1 gene was located on plasmid pLKQY01, with IS26 and ISRle7 positioned at the flanks of the composite transposon aacA4-blaOXA-1-catB3-arr-3-qacEΔ1-sul1. The transcription levels of qacEΔ1, arr-3 and sul1 genes in response to SHC stress initially increased, followed by a decline as SHC concentrations rose. At an SHC concentration of 0.5 MIC, the transcription levels of these genes were notably low, and the results indicated a decontamination efficacy of 86.51 % against Salmonella contamination while relatively preserving the freshness of the chicken. This study enhanced the understanding of disinfectant effects on the antimicrobial resistance of S. Indiana and provided evidence to support the regulated use of disinfectants.

A New Human SCARB2 Knock-In Mouse Model for Studying Coxsackievirus A16 and Its Neurotoxicity

Hand, Foot, and Mouth Disease (HFMD) is a viral illness caused by enterovirus infections. While the introduction of the enterovirus 71 (EV71) vaccine has significantly reduced the number of EV71-related cases, the continued spread of Coxsackievirus A16 (CVA16) remains a major public health threat. Previous studies have shown that human SCARB2 (hSCARB2) knock-in (KI) mice, generated using embryonic stem cell (ESC) technology, are susceptible to CVA16. However, these models have failed to reproduce the clinical pathology and neurotoxicity after CVA16 infection. Therefore, there is an urgent need for a more reliable and effective animal model to study CVA16. In this study, we successfully created a hSCARB2 KI mouse model targeting the ROSA26 locus using CRISPR/Cas9 gene editing technology. The application of CRISPR/Cas9 enabled stable and widespread expression of hSCARB2 in the model. After infection, the KI mice exhibited a clinical pathology that closely mimics human infection, with prominent limb weakness and paralysis. The virus was detectable in multiple major organs of the mice, with peak viral load observed on day 7 post-infection, gradually clearing thereafter. Further analysis revealed widespread neuronal necrosis and infiltration of inflammatory cells in the brain and spinal cord of the KI mice. Additionally, significant activation of astrocytes (GFAP-positive) and microglia (IBA1-positive) was observed in the brain, suggesting that CVA16 infection may induce limb paralysis by attacking neuronal cells. Overall, this model effectively replicates the neuropathological changes induced by CVA16 infection and provides a potential experimental platform for studying CVA16-associated pathogenesis and neurotoxicity.

Molecular docking, pharmacological profiling, and MD simulations of glycolytic inhibitors targeting novel SARS CoV-2 main protease and spike protein

Abstract

Coronavirus infection (COVID-19), designated a global health emergency by the World Health Organization in 2020, continues to spur the search for effective therapeutics. The causative agent, SARS-CoV-2, depends on viral proteins and host metabolic reprogramming for replication. This study explores the potential of glycolytic inhibitors as dual-action agents against SARS-CoV-2, explicitly targeting the main protease and the spike protein due to their critical roles in viral replication and cellular entry. These inhibitors disrupt the activity of viral proteins and host cell glycolysis, thereby preventing viral propagation. Through a combination of virtual screening, molecular docking, and molecular dynamics simulations, fluoro-deoxy-glucose folate (FDGF) and N-(2-fluoro-3-(6-O-glucosylpropyl-azomycin)) were identified as potent candidates. The docking results showed strong binding affinities, with scores of -8.6 and -7.1 kcal/mol for main protease and -9.9 and - 7.5 kcal/mol for spike receptor-binding domain bound to ACE2. Further molecular dynamic simulations confirmed the stability of the FDGF complexes, with RMSD fluctuations consistently remained within 1.6-2.9 Å over a 100 ns trajectory. Additionally, MM-GBSA binding free energy calculations revealed favorable binding energies, underscoring the stability and potential efficacy of these compounds. Overall, the findings suggest that FDGF and N-(2-fluoro-3-(6-O-glucosylpropyl-azomycin)) show promise as SARS-CoV-2 therapeutics, warranting further in vitro and in vivo validation to confirm their antiviral potential.

Graphical abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s40203-025-00336-2.

Unhealthy Food Consumption Is Associated with Post-Acute Sequelae of COVID-19 in Brazilian Elderly People

Background/Objectives: The factors associated with post-acute sequelae of COVID-19 (PASC) are not yet fully understood in developing countries. Our objective was to investigate the relationship between food consumption and the occurrence of PASC in Brazilian elderly people. Methods: This cross-sectional study included 1322 elderly people aged 60 or over, infected with SARS-CoV-2 in 2020, living in the state of Roraima in Brazil. Using the Brazilian National Food and Nutrition Surveillance System (SISVAN, in Portuguese) tool, food consumption markers were evaluated. The persistence of post-acute sequelae of COVID-19 was assessed three months after SARS-CoV-2 infection. Poisson regression with robust variance was performed to estimate the prevalence ratio (PR) with a 95% confidence interval (95% CI). Results: Fruit consumption [PR 0.92; 95% CI: 0.85-0.99] was associated with a lower occurrence of PASC, with a significant interaction in individuals aged 60 to 69 years old, not hospitalized, and those without chronic kidney disease. In addition, the consumption of sugar-sweetened beverages [PR 1.23; 95% CI: 1.12-1.35], sandwich cookies, sweets, and treats [PR 1.12; 95% CI 1.03-1.22] was positively associated with the occurrence of PASC in the elderly people, with a significant interaction in individuals living in the capital and without hypercholesterolemia. Conclusions: Unhealthy food consumption was associated with PASC in Brazilian elderly people. An improvement in the diet quality of elderly people is necessary to minimize health complications in PASC.

Henipaviruses: epidemiology, ecology, disease, and the development of vaccines and therapeutics

SUMMARYHenipaviruses were first identified 30 years ago and have since been associated with over 30 outbreaks of disease in humans. Highly pathogenic henipaviruses include Hendra virus (HeV) and Nipah virus (NiV), classified as biosafety level 4 pathogens. In addition, NiV has been listed as a priority pathogen by the World Health Organization (WHO), the Coalition for Epidemic Preparedness Innovations (CEPI), and the UK Vaccines Research and Development Network (UKVN). Here, we re-examine epidemiological, ecological, clinical, and pathobiological studies of HeV and NiV to provide a comprehensive guide of the current knowledge and application to identify and evaluate countermeasures. We also discuss therapeutic and vaccine development efforts. Furthermore, with case identification, prevention, and treatment in mind, we highlight limitations in research and recognize gaps necessitating additional studies.

LncRNAs in oncogenic microenvironment: from threat to therapy

LncRNAs are RNA molecules of more than 200 nucleotides in length and participate in cellular metabolism and cellular responses through their diverse interactomedespite having no protein-coding capabilities. Such significant interactions also implicate the presence of lncRNAs in complex pathobiological pathways of various diseases, affecting cellular survival by modulating autophagy, inflammation and apoptosis. Proliferating cells harbour a complex microenvironment that mainly stimulate growth-specific activities such as DNA replication, repair, and protein synthesis. They also recognise damages at the macromolecular level, preventing them from reaching the next-generation. LncRNAs have shown significant association with the events occurring towards proliferation, regulating key events in dividing cells, and dysregulation of lncRNA transcriptome affects normal cellular life-cycle, promoting the development of cancer. Furthermore, lncRNAs also demonstrated an association with cancer growth and progression by regulating key pathways governing cell growth, epithelial-mesenchymal transition and metastasis. This makes lncRNAs an attractive target for the treatment of cancer and can also be used as a marker for the diagnosis and prognosis of diseases due to their differential expression in diseased samples. This review delves into the correlation of the lncRNA transcriptome with the fundamental cellular signalling and how this crosstalk shapes the complexity of the oncogenic microhabitat.

SARS-CoV-2 genomic evolution during a severe and long-lasting omicron infection under antiviral therapy

BACKGROUND

Prolonged SARS-CoV-2 infection observed in immunocompromised individuals even in the presence of antiviral treatment provides opportunities for viruses to evolve in immune escape and drug-resistant variants.

CASE PRESENTATION

A 72-year-old male with IgG4-related disease was admitted to the Emergency Department of a city Hospital in Milan and then transferred to Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico in December 2023, due to respiratory distress due to SARS-CoV-2 infection diagnosed in November 2023. After 117 days since the onset of the infection, and two cycles of sotrovimab/remdesivir combined therapy, the clinical improvement allowed the hospital discharge, notwithstanding the persistent SARS-CoV-2 positivity. Fifteen days later, the patient was re-admitted to the hospital due to worsening clinical conditions. After a third cycle of sotrovimab/remdesivir combined therapy prolonged with nirmatrelvir/ritonavir, nasopharyngeal load dropped and clinical conditions improved, ending with a successful discharge. SARS-CoV-2 whole genome sequences, obtained at six time-points of infection, showed an FL.1.5.1 recombinant form infection and a genetic distance of median (IQR) 0.00052 (0.00041-0.00066) similar to the genetic distance observed among the 43 contemporaneous FL.1.5.1 recombinant forms (p = 0.098). De novo SNPs were observed at all time points, with a peak (n = 70) at day 133 of infection, corresponding to the time of the second hospitalization. Six non-synonymous mutations (three in the RdRp and three in the spike protein, four of them known to be associated with drug resistance) appeared transiently, after the third and fourth course of sotrovimab 500 mg/remdesivir combination. Five de novo SNPs, three of them in the spike protein, were fixed over the long-lasting infection. The spike N856K, associated with reduced fusogenicity and infectivity in Omicron BA.1, was completely replaced by constitutive N at day 136.

CONCLUSIONS

This clinical case confirms the intra-host evolution dynamics of SARS-CoV-2 in an immunocompromised, prolonged-infected individual, involving positions associated with drug resistance and fusogenic traits of SARS-CoV-2. These results underscore the importance of the early detection of SARS-CoV-2 infection in immunocompromised individuals, and its rapid containment using highly effective treatment, to limit serious complications and the risk of new and potentially concerning viral variants emergence.

Pharmaceutical 3D Printing Technology Integrating Nanomaterials and Nanodevices for Precision Neurological Therapies

Pharmaceutical 3D printing, combined with nanomaterials and nanodevices, presents a transformative approach to precision medicine for treating neurological diseases. This technology enables the creation of tailored dosage forms with controlled release profiles, enhancing drug delivery across the blood-brain barrier (BBB). The integration of nanoparticles, such as poly lactic-co-glycolic acid (PLGA), chitosan, and metallic nanomaterials, into 3D-printed scaffolds improves treatment efficacy by providing targeted and prolonged drug release. Recent advances have demonstrated the potential of these systems in treating conditions like Parkinson's disease, epilepsy, and brain tumors. Moreover, 3D printing allows for multi-drug combinations and personalized formulations that adapt to individual patient needs. Novel drug delivery approaches, including stimuli-responsive systems, on-demand dosing, and theragnostics, provide new possibilities for the real-time monitoring and treatment of neurological disorders. Despite these innovations, challenges remain in terms of scalability, regulatory approval, and long-term safety. The future perspectives of this technology suggest its potential to revolutionize neurological treatments by offering patient-specific therapies, improved drug penetration, and enhanced treatment outcomes. This review discusses the current state, applications, and transformative potential of 3D printing and nanotechnology in neurological treatment, highlighting the need for further research to overcome the existing challenges.

Pharmacogenomics in Solid Tumors: A Comprehensive Review of Genetic Variability and Its Clinical Implications

Pharmacogenomics, the study of how genetic variations influence drug response, has become integral to cancer treatment as personalized medicine evolves. This review aims to explore key pharmacogenomic biomarkers relevant to cancer therapy and their clinical implications, providing an updated and comprehensive perspective on how genetic variations impact drug metabolism, efficacy, and toxicity in oncology. Genetic heterogeneity among oncology patients significantly impacts drug efficacy and toxicity, emphasizing the importance of incorporating pharmacogenomic testing into clinical practice. Genes such as CYP2D6, DPYD, UGT1A1, TPMT, EGFR, KRAS, and BRCA1/2 play pivotal roles in influencing the metabolism, efficacy, and adverse effects of various chemotherapeutic agents, targeted therapies, and immunotherapies. For example, CYP2D6 polymorphisms affect tamoxifen metabolism in breast cancer, while DPYD variants can result in severe toxicities in patients receiving fluoropyrimidines. Mutations in EGFR and KRAS have significant implications for the use of targeted therapies in lung and colorectal cancers, respectively. Additionally, BRCA1/2 mutations predict the efficacy of PARP inhibitors in breast and ovarian cancer. Ongoing research in polygenic risk scores, liquid biopsies, gene-drug interaction networks, and immunogenomics promises to further refine pharmacogenomic applications, improving patient outcomes and reducing treatment-related adverse events. This review also discusses the challenges and future directions in pharmacogenomics, including the integration of computational models and CRISPR-based gene editing to better understand gene-drug interactions and resistance mechanisms. The clinical implementation of pharmacogenomics has the potential to optimize cancer treatment by tailoring therapies to an individual's genetic profile, ultimately enhancing therapeutic efficacy and minimizing toxicity.

Neutrophils and COVID-19

Neutrophils are the first line of defense against pathogens, most effectively by forming Neutrophil Extracellular Traps (NETs). Neutrophiles are further classified into several subpopulations during their development, eliminating pathogens through various mechanisms. However, due to the chaotic and uncontrolled immune response, NETs are often severely resulting in tissue damage and lung infections. The uncontrolled and poorly acknowledged host response regarding the cytokine storm is one of the major causes of severe COVID-19 conditions. Specifically, the increased formation of low-density neutrophils (LDNs), together with neutrophil extracellular traps (NETs) is closely linked with the severity and poor prognosis in patients with COVID-19. In this review, we discuss in detail the ontogeny of neutrophils at different stages and their recruitment and activation after infections, focusing on SARS-CoV-2. In addition, this chapter summarized the research progress on potential targeted drugs (NETs and Cytokine inhibitors) for neutrophil medical therapy and hoped to provide reference for the development of related therapeutic drugs for critically ill COVID-19 patients.

Real-time epidemiological surveillance data: tracking the occurrences of avian influenza outbreaks around the world

OBJECTIVES

This study aims to provide real-time surveillance of epidemiological outbreaks of avian influenza in humans and mammals. The primary objective is to understand and track the dynamics of outbreaks as they develop, facilitating timely interventions and informed public health decisions. The data collection is part of a broader initiative focused on improving preparedness and response capabilities to emerging health threats.

DATA DESCRIPTION

The dataset includes comprehensive and up-to-date information on epidemiological patterns, including geographic spread, incidence rates, and demographic factors. Collected through systematic monitoring and reporting systems, this dataset is invaluable to researchers seeking to understand the evolving nature of avian influenza outbreaks in the global context. By sharing these data, we aim to contribute to the collective knowledge base by supporting evidence-based strategies for effective public health management and intervention.

Plant extracts as a source of antiviral agents against influenza A virus

The influenza virus, especially influenza A (IAV), has remained a constant global health threat due to its high morbidity rate and ability to undergo antigenic shifts and drifts, causing pandemics and epidemics. Due to the rapid evolution of IAV, novel therapeutics are urgently required to combat these viruses effectively, as they develop resistance against current therapeutics. Natural products have been the subject of debate for alternative IAV therapy, where the abundance of bioactive compounds offers numerous potentials for novel anti-IAV drug discovery. Therefore, this review discusses the antiviral effects of natural plant extracts against IAV. Examples are Silybum marianum, Scutellaria baicalensis, Angelica dahurica, Peganum harmala, Sambucus nigra, Echinacea purpurea, Panax ginseng, and Camellia sinensis. Most studies found that Si. marianum inhibits viral ribonucleic acid (RNA) synthesis. In contrast, Sc. baicalensis, A. dahurica, Sa. nigra, C. sinensis, and E. purpurea were effective in preventing the entry or binding of IAV into host cells. On the other hand, Sc. baicalensis and Pa. ginseng exert their anti-IAV effect via immunomodulation. Peganum harmala, on the contrary, exhibits a direct virucidal effect against IAV. These studies have shown promising results from using natural products against IAV, which may aid in formulating combinatorial compounds as anti-IAV therapy.

Exploring binding mechanisms of omicron spike protein with dolutegravir and etravirine by molecular dynamics simulation, principal component analysis, and free binding energy calculations

The COVID-19 pandemic was caused by the SARS-CoV-2 virus, frequent mutations occurred to the wild-type virus resulting in evolved new variants. The WHO classified the new variants as 'Variants of Concern'. SARS-CoV-2 omicron evolved as the dominating variant at the end of 2021. Dolutegravir and etravirine were identified as inhibitors of SARS-CoV-2 entry to host cells in Omicron variants. In this study, combined in silico methods such as molecular docking, molecular dynamics, Principal component analysis, binding-free energy calculations, and Per Residues calculations were applied to investigate the mechanism of the bindings of the two inhibitors. The molecular dynamics results revealed the stability of dolutegravir-spike and etravirine-spike complexes in a similar manner to apo-protein. Dolutegravir and etravirine formed H-bonds and salt bridges with Omicron spike protein. The 2,4-difluoro phenyl moiety of dolutegravir plays an important role in binding the ligand. The binding mode and interactions of the two compounds indicated that Arg403, Tyr449, Tyr453, Arg493, Ser496, Arg498, Thr500, Tyr501, Gln502 and His505 are the key residues. The Principal Component Analyses suggested that no significant conformational changes happened for the two complexes during the simulations. Binding-free energy calculations showed that van der Waals interactions were the most important interactions for ligands' binding. Per-residue free energy decomposition revealed residues Arg493, Arg498, and Tyr501 contributed to the binding of the ligands through H-bonds and salt bridges formation while His505 contributed to H-bonds and Pi-Pi stacking and Phe497 contributed to hydrophobic interactions between ligands and Omicron spike protein.Communicated by Ramaswamy H. Sarma.

Predictive biosignatures for hospitalization in patients with virologically confirmed COVID-19

BACKGROUND

Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, presents with varying severity among individuals. Both viral and host factors can influence the severity of acute and chronic COVID-19, with chronic COVID-19 commonly referred to as long COVID. SARS-CoV-2 infection can be properly diagnosed by performing real-time reverse transcription polymerase chain reaction analysis of nasal swab samples. Pulse oximetry, chest X-ray, and complete blood count (CBC) analysis can be used to assess the condition of the patient to ensure that the appropriate medical care is delivered. This study aimed to develop biosignatures that can be used to distinguish between patients who are likely to develop severe disease and require hospitalization from patients who can be safely monitored in less intensive settings.

METHODS

A retrospective investigation was conducted on 7897 adult patients with virologically confirmed SARS-CoV-2 infection between January 26, 2020, and November 30, 2023; all patients underwent comprehensive CBC testing at Taipei Veterans General Hospital. Among them, 1867 patients were independently recruited for a population study involving genome-wide genotyping of approximately 424 000 genomic variants. Therefore, the participants were divided into two patient cohorts, one with genomic data (n = 1867) and one without (n = 6030) for model validation and training, respectively.

RESULTS

We constructed and validated a biosignature model by using a combination of CBC measurements to predict subsequent hospitalization events (hazard ratio = 3.38, 95% confidence interval: 3.07-3.73 for the training cohort and 3.03 [2.46-3.73] for the validation cohort; both p < 10 -8 ). The obtained scores were used to identify the top quartile of patients, who formed the "very high risk" group with a significantly higher cumulative incidence of hospitalization (log-rank p < 10 -8 in both the training and validation cohorts). The "very high risk" group exhibited a cumulative hospitalization rate of >60%, whereas the rate for the other patients was approximately 30% over a 1.5-year period, providing a binary classification of patients with distinct hospitalization risks. To investigate the genetic factors mediating this risk, we conducted a genome-wide association study. Specific regions in chromosomes 7 and 10 and the mitochondrial chromosome (M), harboring IKAROS family zinc finger 1 ( IKZF1 ), actin binding LIM protein 1 ( ABLIM1 ), and mitochondrially encoded NADH:ubiquinone oxidoreductase core subunit 3 ( MT-ND3 ), exhibited prominent associations with binary risk classification. The identified exonic variants of IKZF1 are linked to several autoimmune diseases. Notably, people with different genotypes of the leading variants (rs4132601, rs141492519, and Affx-120744614) exhibited varying cumulative hospitalization rates after infection.

CONCLUSION

We successfully developed and validated a biosignature model of COVID-19 severe disease in virologically confirmed patients. The identified genomic variants provide new insights for infectious disease research and medical care.

Thymol inhibits ergosterol biosynthesis in Nakaseomyces glabratus, but differently from azole antifungals

INTRODUCTION

Nakaseomyces glabratus is considered a high priority of attention according to WHO, and also is an important yeast species due to its high rate of intrinsic/acquired resistance against fluconazole. This study aimed at the possible mechanisms of action of thymol, as the promising new antifungal agent, in N. glabratus.

METHODS

Thirty previously identified N. glabratus isolates were selected for investigation of the thymol susceptibility pattern. The antifungal susceptibility test was performed according to the Clinical and Laboratory Standards protocol published as M27-A2 document. Likely changes in the expression pattern of genes involved in the ergosterol biosynthesis pathway were assessed by Real-time PCR assay. The ultrastructure characteristics of thymol-treated yeasts and also the possible interactive proteins, as targets for thymol binding, were performed by transmission electron microscopy (TEM) and reverse molecular docking, respectively.

RESULTS

Minimum inhibitory concentrations ranged between 32-128 µg/mL which were statistically significant between the fluconazole-susceptible and fluconazole-resistant yeast group (P<0. 05). TEM observation results showed that thymol led to peripheral vacuole formation which refers to plasma membrane damage and cell membrane separation from the cell wall. Thymol exhibits antifungal activity against N. glabratus by regulating multiple signaling pathways including ergosterol biosynthesis (ERG1) and HOG (high-osmolarity glycerol) MAPK (mitogen-activated protein kinase) pathways. In consistence with the yielded gene expression patterns, docking evaluation findings also revealed the high affinity of thymol with proteins related to the ERG1 gene. Accordingly, thymol's high affinity to chitin synthase and calcineurin subunit B was noteworthy.

CONCLUSION

Thymol might employ its antifungal effect by involving different pathways comprising ergosterol biosynthesis inhibition but not identical to the azole drugs. It is highly suggested that thymol ruins cell membrane function by decreasing the ergosterol/or chitin content. However, studying more ergosterol biosynthesis-related genes and also the yeast apoptotic responses is highly recommended for future investigations.

Neurological long COVID in the outpatient clinic: Is it so long?

BACKGROUND AND PURPOSE

Neurological involvement in long COVID (coronavirus disease 2019) is well known. In a previous study we identified two subtypes of neurological long COVID, one characterized by memory disturbances, psychological impairment, headache, anosmia and ageusia, and the other characterized by peripheral nervous system involvement, each of which present a different risk factor profile. In this study, we aimed to clarify the persistence of neurological long COVID symptoms with a significantly longer term follow-up.

METHODS

We prospectively collected data from patients with prior COVID-19 infection who showed symptoms of neurological long COVID. We conducted a descriptive analysis to investigate the progression of neurological symptoms over time at 3-, 6-, 12-, and 18-month follow-ups. We performed a k-means clustering analysis on the temporal evolution of the symptoms at 6, 12, and 18 months. Finally, we assessed the difference between the recovery course of vaccinated and non-vaccinated patients by computing the cumulative recovery rate of symptoms in the two groups.

RESULTS

The study confirmed the presence of two subtypes of neurological long COVID. Further, 50% of patients presented a complete resolution of symptoms at 18 months of follow-up, regardless of which subtype of neurological long COVID they had. Vaccination against SARS-Cov-2 appeared to imply a higher overall recovery rate for all neurological symptoms, although the statistical reliability of this finding is hampered by the limited sample size of the unvaccinated patients included in this study.

CONCLUSIONS

Neurological long COVID can undergo complete resolution after 18 months of follow-up in 50% of patients and vaccination can accelerate the recovery.

Inhibition of respiratory syncytial virus by Daclatasvir and its derivatives: synthesis of computational derivatives as a new drug development

The most common cause of respiratory tract illness in newborns and young children is the respiratory syncytial virus (RSV). There is no approved vaccination or specific antiviral medication for RSV infections. Here, an attempt has been made to explore the potential of currently marketed drugs as well as their probable derivatives to improve the possibility of developing stronger medications against RSV. From the 100 synthetic drug compounds library, the best drug molecule was identified through drug-likeness properties, toxicity, molecular docking and molecular dynamics simulations. Molecular Mechanics Generalized Born Surface Area (MM-GBSA) was also a method that was applied in this study. Daclatasvir showed the highest binding energy and appeared as the best drug to inhibit matrix protein and a fusion protein of RSV. Based on Daclatasvir, 40 computational derivatives were made. D28, D34 and D40 showed far better results than the actual drug. Changes in lipophilicity character increase the binding energy of derivatives. Molecular dynamic simulations showed their non-deviated, non-fluctuated and stable complex formation with target proteins. The high number of amino acid contacts throughout the trajectory increases the stability and effectiveness of derivatives. The key to producing a novel medicine to eradicate RSV is provided by derivatives. Daclatasvir will be employed as a potential RSV inhibitor up until that point.

Design, spectral characterization, quantum chemical investigation, biological activity of nano-sized transition metal complexes of tridentate 3-mercapto-4H-1,2,4-triazol-4-yl-aminomethylphenol Schiff base ligand

A tridentate Schiff base ligand, H2MTIP, was produced by condensing salicylaldehyde with 4-amino-4H-1,2,4-triazole-3-thiol. The ligand was then used to create nanosized complexes of Pt(II), Ni(II), Cu(II), and Pd(II). The complexes have the composition [Pt/Ni/Cu/or Pd(MTIP)(H2O)], this conclusion is supported by molar conductance, magnetic moments, elemental analyses, spectral analyses. In DFT analysis, the 6-31+ g(d,p) basis set was used to fully optimize the energy with respect to the shapes of Schiff base ligand and metal complexes. Pt(II), Ni(II), Cu(II), and Pd(II) complexes have been assigned square-planar geometries. At the same time, the intense diffraction peaks in X-ray diffractograms show their crystalline features with particle sizes in the nanoscale range. The binding interaction of calf thymus DNA with these metal complexes and their insulin-like activity was examined in vitro by inhibiting α-amylase. The study investigated the in-vitro activity of several complexes and identified Pt(II) complex as the one with the highest activity. The researchers then tested this complex for in-vivo antidiabetic activity in induced diabetic rats using the STZ model, and it significantly lowered blood glucose levels. The antioxidant activity and toxicity level of Pt(II) complex were also excellent, suggesting that it could be a good candidate for further research as a possible diabetes drug.Communicated by Ramaswamy H. Sarma.

Synthesis, Spectral Characterization, Antimicrobial Activity, DFT Calculations, Molecular Docking and ADME Studies of Novel Schiff Base Co(II), Ni(II), Cu(II) and Zn(II) Complexes Derived from 4-nitro-ortho-phenylenediamine

A condensation reaction was carried out between 4-nitro-ortho-phenylenediamine and 5-bromosalicyaldehyde to synthesize a novel Schiff base ligand 2,2'-[(1E,1'E)-(4-nitro-1,2-phenylene) bis (azaneylylidene) bis (methaneylylidene)] bis (4-bromophenol) [NB] in the current investigation. This was followed by the synthesis of metallic complexes comprising the Co(II), Ni(II), Cu(II) and Zn(II) transition metal ions. A hexadentate environment encircling metal complexes was corroborated by the results of varied spectroscopic methods that were employed to unravel the structure of the ligand and metal complexes. The Tauc's plot and Urbach energy were utilized for quantifying the optical energy band gap to provide insight into optical characteristics. The Coats-Redfern method of thermal analysis was implemented to do the kinetic and thermodynamic calculations. Furthermore, DFT studies were performed to predict geometrical structures and the stability of the compounds. Thorough investigation to evaluate their biological efficacies, docking studies was executed against COVID-19 main protease (PDB-7VAH), Dengue virus NS2B/NS3 protease (PDB-2FOM) and Mycobacterium Tuberculosis (PDB-5AF3). Apart from this, in silico ADMET studies were also accomplished for elucidation of drug likeness characteristics and the results attained disclose the significant proficiency of synthesized compounds. Besides this, antimicrobial studies were assessed with different microbial strains and result validates cobalt and zinc complexes as most potent against the selected bacterial and fungal strains.

Fractional inhibitory concentration of bio-actives from agricultural waste disassembles biofilms and quenches virulence of nosocomial pathogens

Introduction. The contact surfaces in hospitals serve as reservoirs for pathogens and account for 20-40% of hospital-acquired infections. This resistance is mainly attributed to the biofilm-forming ability of the microbes. These biofilms restrict the entry of the antibiotics to penetrate them, thus giving rise to drug resistance. Hence, there is a renewed interest in formulating an environmentally friendly, non-allergic, quick mode of action, broad-spectrum disinfectant.Hypothesis. We hypothesize that the pure compounds present in the pyrolysis aqueous phase could act as an anti-infective and anti-biofilm agent.Aim. The present work investigates the effectiveness of furfuryl alcohol, 2-methyl-2-cyclopentenone and guaiacol as effective anti-infective agent followed by testing its biofilm eradication potential against the mixed species of multidrug-resistant pathogens such as Acinetobacter baumannii, methicillin-resistant Staphylococcus aureus and Candida auris.Methodology. The MIC and fractional inhibitory concentrations (FIC) of the pure compounds were determined using checkerboard assay for two-compound and three-compound combinations. The biofilm eradication concentration was performed on stainless coupons, followed by RNA isolation and quantitative PCR (qPCR) analysis to elucidate virulence gene downregulation.Results. The individual MICs of furfuryl alcohol, 2-methyl-2-cyclopentenone and guaiacol were found to be 8%, 9% and 2% (v/v), respectively. The two-compound combination FIC index of 0.75 showed partial synergy between the compounds, while the three-compound combination showed an additive effect with a FIC index of 0.87. Further, at ½ FIC (biofilm inhibitory concentration), the compounds showed 52% eradication of preformed biofilms on the hospital contact surfaces (stainless steel). The growth and time-to-kill curve showed that the compounds were not lethal to planktonic cells at BIC. Finally, the qPCR analysis showed a reduction in the expression levels of biofilm and adhesion genes, while the Quorum sensing (QS) genes were affected much more, elucidating a possible eradication mechanism.Conclusion. From this study, we have found a new class of compounds that have potential disinfecting ability. With the current knowledge, the future lead would be to effectively use them in disinfectant formulations.

Development of a general anti-viral therapeutic using cholestosome technology to exploit inhibition of intracellular viral production

The recent events of the worldwide Covid-19 pandemic showed the need for a general anti-viral therapeutic, independent of the specific characteristics of the virus, that targets intracellular mechanisms of viral production to prevent the rapid, overwhelming spread of infection and its devastating consequences. The development of the Cholestosome technology, a drug delivery system made exclusively of cholesteryl esters, is a solution for intracellular targeting of viral replication. It is well known that Zn2+ is capable of inhibiting viral replication but the control of intracellular Zn2+ concentration is tightly regulated. Cholestosome technology can encapsulate Zn2+ and deliver it to cells to inhibit viral replication. The human betacoronavirus OC43 (OC43) model system was used to infect cells and infected cells were treated with Zn2+ encapsulated in Cholestosomes as well as appropriate controls. Viral production was measured using CPE as well as PCR methods to determine inhibition of infection. Experimental results indicated a 55 % reduction in viral load for those cells treated with Zn2+ encapsulated in cholestosomes versus Zn2+ alone.

Genetic Diversity and Geographic Spread of Henipaviruses

Henipaviruses, such as Hendra and Nipah viruses, are major zoonotic pathogens that cause encephalitis and respiratory infections in humans and animals. The recent emergence of Langya virus in China highlights the need to understand henipavirus host diversity and geographic spread to prevent future outbreaks. Our analysis of the National Center for Biotechnology Information Virus and VIRION databases revealed ≈1,117 henipavirus sequences and 142 complete genomes. Bats (64.7%) and shrews (11.7%) dominated the host species record, and the genera Pteropus and Crocidura contained key henipavirus hosts in Asia, Australia, and Africa. Henipaviruses found in the Eidolon bat genus exhibited the highest within-host genetic distance. Phylogenetic analysis revealed batborne and rodent- or shrew-derived henipaviruses diverged ≈11,000 years ago and the first known lineage originating in Eidolon genus bats ≈9,900 years ago. Pathogenic henipaviruses diverged from their ancestors 2,800-1,200 years ago. Including atypical hosts and regions in future investigations is necessary to control future outbreaks.