The neutrophil-derived peptide, indolicidin, and the sphere-shaped carbon nanoparticle, C60, are contemporary components capable of acting as bactericides and virucides, among others. Herein, the coarse-grained molecular dynamics simulation method was used to simulate the interactions of gram-negative bacteria, eukaryotes, human immunodeficiency virus (HIV), and SARS-COV-2 membrane models with indolicidin, C60s, and C60-indolicidin hybrids. Our results demonstrated that the carbon nanoparticle penetrated all membrane models, except the bacterial membrane, which remained impenetrable to both the peptide and C60. Additionally, the membrane thickness did not change significantly. The peptide floated above the membranes, with only the side chains of the tryptophan (Trp)-rich site slightly permeating the membranes. After achieving stable contact between the membrane models and nanoparticles, the infiltrated C60s interacted with the unsaturated tail of phospholipids. The density results showed that C60s stayed close to indolicidin and continued to interact with it even after penetration. Indolicidin, especially its Trp-rich site, exhibited more contact with the head and tail of neutral phospholipids compared to other phospholipids. Moreover, both particles interacted with different kinds of glycosphingolipids located in the eukaryote membrane. This investigation has the potential to advance our knowledge of novel approaches to combat antimicrobial resistance.

Alzheimer\'s disease (AD) is a progressive neurodegenerative disorder characterized by the accumulation of amyloid plaques in the brain. The toxicity of amyloid to neuronal cell surfaces arises from interactions between small intermediate aggregates, namely amyloid oligomers, and the cell membrane. The nature of these interactions changes with age and disease progression. In our previous work, we demonstrated that both membrane composition and nanoscale structure play crucial roles in amyloid toxicity, and that membrane models mimicking healthy neuron were less affected by amyloid than model membranes mimicking AD neuronal membranes. This understanding introduces the possibility of modifying membrane properties with membrane-active molecules, such as melatonin, to protect them from amyloid-induced damage. In this study, we employed atomic force microscopy and localized surface plasmon resonance to investigate the protective effects of melatonin. We utilized synthetic lipid membranes that mimic the neuronal cellular membrane at various stages of AD and explored their interactions with amyloid-β(1-42) in the presence of melatonin. Our findings reveal that the early diseased membrane model is particularly vulnerable to amyloid binding and subsequent damage. However, melatonin exerts its most potent protective effect on this early-stage membrane. These results suggest that melatonin could act at the membrane level to alleviate amyloid toxicity, offering the most protection during the initial stages of AD.

In this work, we applied Stark fluorescence spectroscopy to an iron-stressed cyanobacterial membrane to reveal key insights about the electronic structures and excited state dynamics of the two important pigment-protein complexes, IsiA and PSII, both of which prevail simultaneously within the membrane during iron deficiency and whose fluorescence spectra are highly overlapped and hence often hardly resolved by conventional fluorescence spectroscopy. Thanks to the ability of Stark fluorescence spectroscopy, the fluorescence signatures of the two complexes could be plausibly recognized and disentangled. The systematic analysis of the SF spectra, carried out by employing standard Liptay formalism with a realistic spectral deconvolution protocol, revealed that the IsiA in an intact membrane retains almost identical excited state electronic structures and dynamics as compared to the isolated IsiA we reported in our earlier study. Moreover, the analysis uncovered that the excited state of the PSII subunit of the intact membrane possesses a significantly large CT character. The observed notably large magnitude of the excited state CT character may signify the supplementary role of PSII in regulative energy dissipation during iron deficiency.

Melanoma-associated leptomeningeal disease (M-LMD) occurs when circulating tumor cells (CTCs) enter into the cerebral spinal fluid (CSF) and colonize the meninges, the membrane layers that protect the brain and the spinal cord. Once established, the prognosis for M-LMD patients is dismal, with overall survival ranging from weeks to months. This is primarily due to a paucity in our understanding of the disease and, as a consequence, the availability of effective treatment options. Defining the underlying biology of M-LMD will significantly improve the ability to adapt available therapies for M-LMD treatment or design novel inhibitors for this universally fatal disease. A major barrier, however, lies in obtaining sufficient quantities of CTCs from the patient-derived CSF (CSF-CTCs) to conduct preclinical experiments, such as molecular characterization, functional analysis, and in vivo efficacy studies. Culturing CSF-CTCs ex vivo has also proven to be challenging. To address this, a novel protocol for the culture of patient-derived M-LMD CSF-CTCs ex vivo and in vivo is developed. The incorporation of conditioned media produced by human meningeal cells (HMCs) is found to be critical to the procedure. Cytokine array analysis reveals that factors produced by HMCs, such as insulin-like growth factor-binding proteins (IGFBPs) and vascular endothelial growth factor-A (VEGF-A), are important in supporting CSF-CTC survival ex vivo. Here, the usefulness of the isolated patient-derived CSF-CTC lines is demonstrated in determining the efficacy of inhibitors that target the insulin-like growth factor (IGF) and mitogen-activated protein kinase (MAPK) signaling pathways. In addition, the ability to intrathecally inoculate these cells in vivo to establish murine models of M-LMD that can be employed for preclinical testing of approved or novel therapies is shown. These tools can help unravel the underlying biology driving CSF-CTC establishment in the meninges and identify novel therapies to reduce the morbidity and mortality associated with M-LMD.

Using Escherichia coli as a model, this manuscript delves into the intricate interactions between dimethyl sulfoxide (DMSO) and membranes, cellular macromolecules, and the effects on various aspects of bacterial physiology. Given DMSO\'s wide-ranging use as a solvent in microbiology, we investigate the impacts of both non-growth inhibitory (1.0 % and 2.5 % v/v) and slightly growth-inhibitory (5.0 % v/v) concentrations of DMSO. The results demonstrate that DMSO causes alterations in bacterial membrane potential, influences the electrochemical characteristics of the cell surface, and exerts substantial effects on the composition and structure of cellular biomolecules. Genome-wide gene expression data from DMSO-treated E. coli was used to further investigate and bolster the results. The findings of this study provide valuable insights into the complex relationship between DMSO and biological systems, with potential implications in drug delivery and cellular manipulation. However, it is essential to exercise caution when utilizing DMSO to enhance the solubility and delivery of bioactive compounds, as even at low concentrations, DMSO exerts non-inert effects on cellular macromolecules and processes.

We propose a three-dimensional computational framework to simulate the flow-induced cell membrane damage and the resulting enhanced intracellular mass transport in a cross-slot microchannel. We model the cell as a liquid droplet enclosed by a viscoelastic membrane and solve the cell deformation using a well-tested immersed-boundary lattice-Boltzmann method. The cell membrane damage, which is directly related to the membrane permeability, is considered using continuum damage mechanics. The transport of the diffusive solute into the cell is solved by a lattice-Boltzmann model. After validating the computational framework against several benchmark cases, we consider a cell flowing through a cross-slot microchannel, focusing on the effects of the flow strength, channel fluid viscosity and cell membrane viscosity on the membrane damage and enhanced intracellular transport. Interestingly, we find that under a comparable pressure drop across the device, for cells with low membrane viscosity, the inertial flow regime, which can be achieved by driving a low-viscosity liquid at a high speed, often leads to much larger membrane damage, compared with the high-viscosity low-speed viscous flow regime. However, the enhancement can be significantly reduced or even reversed by an increase of the cell membrane viscosity, which limits cell deformation, particularly in the inertial flow regime. Our computational framework and simulation results may guide the design and optimisation of microfluidic devices, which use cross-slot geometry to disrupt cell membranes to enhance intracellular delivery of solutes.

In this computational study, we examine the potential of microbubble-enhanced shock waves to improve the delivery of lipid-siRNA nanoparticles across neuronal plasma membranes with the ultimate aim of enhancing brain tumor treatment. We critically evaluate several variables related to experiments, including the bubble size, the shock speed and action time, and the amount of siRNA encapsulated in the liposome. Our findings reveal that microbubble-enhanced shock waves are essential for the high delivery of small lipid vesicles (under 30 nm diameter); its corresponding variables significantly impact drug penetration and absorption rates and influence the overall efficacy of the drug delivery system. Long-time recovery simulations further provide valuable insights into the self-healing ability of the plasma membrane following shock wave exposure and the subsequent absorption dynamics of siRNA. This work provides the dynamic process of siRNA released from lipid vesicles with shock wave and nanobubbles, thereby serving as a molecular mechanism support for developing tunable delivery systems for RNA-based therapy in brain tumors.

BACKGROUND: Granulosa Cell Tumors (GCT) are considered the most frequent type of sex-cord stromal tumors. These tumors constitute 3-6% of neoplasms of the ovaries. GCTs are divided into 2 types: Juvenile GCT (JGCT) and Adult GCT (AGCT). Most patients are diagnosed early in the course of the disease and tend to have a favorable prognosis. In the surgical treatment of GCT, two main factors play role in the determination of feasibility of the surgery: age and tumor stage.
METHODS: A retrospective study was conducted on 65 consecutive female patients diagnosed with ovarian GCT at different hospitals across Lebanon who were referred to the National Institute of Pathology, Beirut-Lebanon, between January 2000 and January 2020. Then, they were divided according to types: adult versus juvenile type. Statistical analysis was carried out using Stata, version 16.
RESULTS: The incidence of GCT in a Lebanese population was 16.2 per million per year. The mean age of the studied population was 55.6 years. AGCT was the most common with a prevalence of 91% versus 19% for JGCT. Also, inhibine (the most important immunomarker) was found in 77.2% of adult cases. High mitotic index and high tumor size which are predictors for poor prognosis were respectively 20% and 36.9%. Concerning the histopathological features, Grooved nuclei and Exner bodies were less frequently observed in juvenile type (16.7% for both) compared to adult type (36.9%). Most patients with GCT were diagnosed in the early course of disease mainly due to the manifestation of the symptoms as abdominal pain, postmenopausal bleeding or intermenstrual bleeding, and the good diagnosis and screening practices in Lebanon. Regarding the recurrent cases, a significant correlation with high mitotic index (76.9%), high tumor size (92.3%) and advanced stage (46% for stage 3 and 46% for stage 4) was found with a p < 0.05.
CONCLUSIONS: The incidence of GCT in the Lebanese population is 16.2 per million per year. The majority of patients with GCT in Lebanon are of Adult type representing around 90% of cases. Older age, high mitotic index and big tumor size are predictors for poor outcomes.

Pancreatic β-cells are equipped with the molecular machinery allowing them to respond to high glucose levels in the form of electrical activity and Ca2+ oscillations. These oscillations drive insulin secretion. Two key ionic mechanisms involved in this response are the Store-Operated Current and the current through ATP-dependent K+ channels. Both currents have been shown to be regulated by the protein STIM1, but this dual regulation by STIM1 has not been studied before. In this paper, we use mathematical modelling to gain insight into the role of STIM1 in the β-cell response. We extended a previous β-cell model to include the dynamics of STIM1 and described the dependence of the ATP-dependent K+ current on STIM1. Our simulations suggest that the total concentration of STIM1 modifies the bursting frequency, the burst duration and the intracellular Ca2+ levels. These results are in good agreement with experimental reports, and the contribution of the studied currents to electrical activity and Ca2+ dynamics is discussed. The model predicts that in the absence of STIM1 the excitability of the plasma membrane increases and that the glucose threshold for electrical activity is shifted to lower concentrations. These computational predictions may be related to impaired insulin secretion under conditions of reduced STIM1 in the diabetic state.

Mutual interactions between components of biological membranes are pivotal for maintaining their proper biophysical properties, such as stability, fluidity, or permeability. The main building blocks of biomembranes are lipids, among which the most important are phospholipids (mainly phosphatidylcholines (PCs)) and sterols (mainly cholesterol). Although there is a plethora of reports on interactions between PCs, as well as between PCs and cholesterol, their molecular mechanism has not yet been fully explained. Therefore, to resolve this issue, we carried out systematic investigations based on the classical Langmuir monolayer technique complemented with molecular dynamics simulations. The studies involved systems containing 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) analogues possessing in the structure one or two polar functional groups similar to those of DPPC. The interactions and rheological properties of binary mixtures of DPPC analogues with 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and cholesterol were compared with reference systems (DPPC/POPC and DPPC/cholesterol). This pointed to the importance of the ternary amine group in PC/cholesterol interactions, while in PC mixtures, the phosphate group played a key role. In both cases, the esterified glycerol group had an effect on the magnitude of interactions. The obtained results are crucial for establishing structure-property relationships as well as for designing substitutes for natural lipids.