In silico and in vitro characterization of the mycobacterial protein Ku to unravel its role in non-homologous end-joining DNA repair.

Non-homologous end-joining (NHEJ) stands as a pivotal DNA repair pathway crucial for the survival and persistence of Mycobacterium tuberculosis (Mtb) during its dormant, non-replicating phase, a key aspect of its long-term resilience. Mycobacterial NHEJ is a remarkably simple two-component system comprising the rate-limiting DNA binding protein Ku (mKu) and Ligase D. To elucidate mKu's role in NHEJ, we conducted a series of in silico and in vitro experiments. Molecular dynamics simulations and in vitro assays revealed that mKu's DNA binding stabilizes both the protein and DNA, while also shielding DNA ends from exonuclease degradation. Surface plasmon resonance (SPR) and electrophoretic mobility shift assays (EMSA) demonstrated mKu's robust affinity for linear double-stranded DNA (dsDNA), showing positive cooperativity for DNA substrates of 40 base pairs or longer, and its ability to slide along DNA strands. Moreover, analytical ultracentrifugation, size exclusion chromatography, and negative stain electron microscopy (EM) unveiled mKu's unique propensity to form higher-order oligomers exclusively with DNA, suggesting a potential role in mycobacterial NHEJ synapsis. This comprehensive characterization sheds new light on mKu's function within the Mtb NHEJ repair pathway. Targeting this pathway may thus impede the pathogen's ability to persist in its latent state within the host for prolonged periods.

Injectable, reversibly thermoresponsive captopril-laden hydrogel for the local treatment of sensory loss in diabetic neuropathy.

A major and irreversible complication of diabetes is diabetic peripheral neuropathy (DPN), which can lead to significant disability and decreased quality of life. Prior work demonstrates the peptide hormone Angiotensin II (Ang II) is released locally in neuropathy and drives inflammation and impaired endoneurial blood flow. Therefore, we proposed that by utilizing a local thermoresponsive hydrogel injection, we could deliver inhibitors of angiotensin-converting enzyme (ACE) to suppress Ang II production and reduce nerve dysfunction in DPN through local drug release. The ACE inhibitor captopril was encapsulated into a micelle, which was then embedded into a reversibly thermoresponsive pluronics-based hydrogel matrix. Drug-free and captopril-loaded hydrogels demonstrated excellent product stability and sterility. Rheology testing confirmed sol properties with low viscosity at ambient temperature and increased viscosity and gelation at 37 °C. Captopril-loaded hydrogels significantly inhibited Ang II production in comparison to drug-free hydrogels. DPN mice treated with captopril-loaded hydrogels displayed normalized mechanical sensitivity and reduced inflammation, without side-effects associated with systemic exposure. Our data demonstrate the feasibility of repurposing ACE inhibitors as locally delivered anti-inflammatories for the treatment of sensory deficits in DPN. To the best of our knowledge, this is the first example of a locally delivered ACE inhibitor for the treatment of DPN.

Genome-scale community modelling elucidates the metabolic interaction in Indian type-2 diabetic gut microbiota.

Type-2 diabetes (T2D) is a rapidly growing multifactorial metabolic disorder that induces the onset of various diseases in the human body. The compositional and metabolic shift of the gut microbiota is a crucial factor behind T2D. Hence, gaining insight into the metabolic profile of the gut microbiota is essential for revealing their role in regulating the metabolism of T2D patients. Here, we have focused on the genome-scale community metabolic model reconstruction of crucial T2D-associated gut microbes. The model-based analysis of biochemical flux in T2D and healthy gut conditions showed distinct biochemical signatures and diverse metabolic interactions in the microbial community. The metabolic interactions encompass cross-feeding of short-chain fatty acids, amino acids, and vitamins among individual microbes within the community. In T2D conditions, a reduction in the metabolic flux of acetate, butyrate, vitamin B5, and bicarbonate was observed in the microbial community model, which can impact carbohydrate metabolism. The decline in butyrate levels is correlated with both insulin resistance and diminished glucose metabolism in T2D patients. Compared to the healthy gut, an overall reduction in glucose consumption and SCFA production flux was estimated in the T2D gut environment. Moreover, the decreased consumption profiles of branch chain amino acids (BCAAs) and aromatic amino acids (AAAs) in the T2D gut microbiota can be a distinct biomarker for T2D. Hence, the flux-level analysis of the microbial community model can provide insights into the metabolic reprogramming in diabetic gut microbiomes, which may be helpful in personalized therapeutics and diet design against T2D.

pH-induced fluorescent active sodium alginate-based ionically conjugated and REDOX responsive multi-functional microgels for the anticancer drug delivery.

A sodium alginate (Alg) based REDOX (reduction and oxidation)-responsive and fluorescent active microgel was prepared via water in oil (w/o) mini-emulsion polymerization technique. Here, we initially synthesized sodium alginate-based disulfide cross linked microgels and after that those microgels were tagged with rhodamine amine derivative (RhB-NH2) by ionic interaction to get the pH-responsive fluorescent property. Functionalized microgels were characterized using 1H NMR, FTIR, DLS, HRTEM, FESEM, UV-vis, and fluorescence spectroscopy analyses. Presence of the REDOX-responsive disulfide-containing crosslinkers in the microgels enhances the release of doxorubicin (DOX), an anti-cancer drug in the reducing environment of the cancer-cells (simulated). Existence of the rhodamine-amine derivative in the microgels triggers the pH-dependent fluorescence property by showing fluorescence emission at 560-580 nm at pH 5.5 (cancer cell pH). The cytotoxicity of the biopolymer based microgel was assessed over both cancerous HeLa (IC50 100 µg/mL) and non-cancerous MDCK (IC50 200 µg/mL) cells by MTT assay which showed the synthesized microgel is non-toxic whereas DOX-loaded microgels showed significant toxicity. FACS and cell uptake (in vitro) analyses were conducted to understand the cell apoptosis cycle and behavior of the cancer cells in presence of the DOX-loaded microgels. This pH-responsive fluorescent active alginate-based biomaterial could be a promising material for the anti-cancer drug delivery and other medical fields.

Edema India: Executive Summary of Screening, Diagnosis, and Management of Edema.

The management of edema requires a systematic approach to screening, diagnosis, and treatment, with an essential initial assessment to differentiate between generalized and localized edema. The Association of Physicians of India (API) aimed to develop the first Indian Edema Consensus (Edema India), offering tailored recommendations for screening, diagnosing, and managing edema based on the insights from the expert panel. The panel suggested when evaluating edema symptoms, important factors to consider include the patient's current illness, medical history, risk factors, family history, and medications. Key diagnostic investigations for edema include complete blood count, cardiovascular imaging and markers, deep vein thrombosis (DVT) assessment, along with renal, hepatic, and thyroid function tests. Edema management involves a combination of pharmacologic and nonpharmacologic interventions, including limb elevation, physiotherapy, compression therapy, fluid removal, diuretics (loop diuretics: first-line therapy), and a sodium-restricted diet. The panel believed that educating patients could foster a preventive mindset, helping to prevent the worsening of edema.

Machine learning for the advancement of genome-scale metabolic modeling.

Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the interrelations between genotype, phenotype, and external environment. The recent advancement of high-throughput experimental approaches and multi-omics strategies has generated a plethora of new and precise information from wide-ranging biological domains. On the other hand, the continuously growing field of machine learning (ML) and its specialized branch of deep learning (DL) provide essential computational architectures for decoding complex and heterogeneous biological data. In recent years, both multi-omics and ML have assisted in the escalation of CBM. Condition-specific omics data, such as transcriptomics and proteomics, helped contextualize the model prediction while analyzing a particular phenotypic signature. At the same time, the advanced ML tools have eased the model reconstruction and analysis to increase the accuracy and prediction power. However, the development of these multi-disciplinary methodological frameworks mainly occurs independently, which limits the concatenation of biological knowledge from different domains. Hence, we have reviewed the potential of integrating multi-disciplinary tools and strategies from various fields, such as synthetic biology, CBM, omics, and ML, to explore the biochemical phenomenon beyond the conventional biological dogma. How the integrative knowledge of these intersected domains has improved bioengineering and biomedical applications has also been highlighted. We categorically explained the conventional genome-scale metabolic model (GEM) reconstruction tools and their improvement strategies through ML paradigms. Further, the crucial role of ML and DL in omics data restructuring for GEM development has also been briefly discussed. Finally, the case-study-based assessment of the state-of-the-art method for improving biomedical and metabolic engineering strategies has been elaborated. Therefore, this review demonstrates how integrating experimental and in silico strategies can help map the ever-expanding knowledge of biological systems driven by condition-specific cellular information. This multiview approach will elevate the application of ML-based CBM in the biomedical and bioengineering fields for the betterment of society and the environment.

Predictors for lymph node metastasis and survival of patients with T1b esophageal adenocarcinoma treated with surgery and endoscopic therapy: an analysis of the Surveillance, Epidemiology, and End Results database.

BACKGROUND AND AIMS: Limited data exist regarding the long-term outcomes of endoscopic therapy (ET) with or without chemoradiation therapy (CRT) for T1b esophageal adenocarcinoma (EAC). Our aim was to identify the risk factors for lymph node metastasis (LNM) in T1b EAC and assess how the chosen treatment modality affects overall survival (OS) and cancer-specific survival (CSS). METHODS: We analyzed patients with histologically confirmed T1b EAC diagnosed between 2004 and 2018 using the Surveillance, Epidemiology, and End Results database. Focusing on T1bN0M0 staging, the patients were divided into 2 groups (ET [n = 174] and surgery [n = 769]), and OS and CSS rates were calculated. RESULTS: Of 1418 patients with T1b EAC, 228 cases (16.1%) exhibited LNM at diagnosis. Notable risk factors for LNM included poorly differentiated tumor and lesion size ≥20 mm. For T1bN0M0 cases, ET was commonly performed from 2009 to 2018 (odds ratio [OR], 4.3), especially for patients aged ≥65 years (OR, 3.1) with tumor size <20 mm (OR, 2.3). During the median 50 months of follow-up, age ≥65 years (hazard ratio [HR], 1.9), ET (HR, 1.5), and CRT (HR, 1.4) were associated with poorer OS. Factors linked to decreased CSS were age ≥65 years (subhazard ratio [SHR], 1.6), poorly differentiated tumors (SHR, 1.5), and CRT (SHR, 1.5). CONCLUSIONS: In T1b EAC, tumor size ≥20 mm and poor differentiation are notable risk factors for LNM. ET exhibited comparable CSS outcomes to surgery for carefully selected T1bN0M0 lesions. CRT did not provide additional survival benefit for these lesions; however, large-scale studies are required to validate this finding.

Peptide-drug conjugate designated for targeted delivery to HER2-expressing cancer cells.

Targeted therapy of the highest globally incident breast cancer shall resolve the issue of off-target toxicity concurring with augmented killing of specific diseased cells. Thus, the goal of this study was to prepare a peptide-drug conjugate targeting elevated expression of HER2 receptors in breast cancer. Towards this, the rL-A9 peptide was conjugated with the chemotherapeutic drug doxorubicin (DOX) through a N-succinimidyl-4-(N-maleimidomethyl) cyclohexane-1-carboxylate (SMCC) linker. The synthesized peptide-drug conjugate, rL-A9-DOX, was characterized by mass spectrometry. Molecular docking studies, based on binding energy data, suggested a stronger interaction of rL-A9-DOX with the HER2 receptor in comparison to the unconjugated peptide, rL-A9. The cytotoxic effect of the rL-A9-DOX conjugate was observed to be higher in HER2-positive SKOV3 cells compared to HER2-negative MDA-MB-231 cells, indicating selective cell killing. Cellular internalization of the rL-A9-DOX conjugate was evident from the flow cytometry analysis, where a noticeable shift in mean fluorescent intensity (MFI) was observed for the conjugate compared to the control group. This data was further validated by confocal microscopy, where the fluorescent signal ascertained nuclear accumulation of rL-A9-DOX. The present studies highlight the promising potential of rL-A9-DOX for targeted delivery of the drug into a defined group of cancer cells.

Tuneable quantised conductance memory states in TiO2based resistive switching devices in crossbar geometry for high density memory applications.

The tunability and controllability of conductance quantization mediated multilevel resistive switching (RS) memory devices, fabricated in crossbar geometry can be a promising alternative for boosting storage density. Here, we report fabrication of Cu/TiO2/Pt based RS devices in 8 × 8 crossbar geometry, which showed reliable bipolar RS operations. The crossbar devices showed excellent spatial and temporal variability, time retention and low switching voltage (<1 V) and current (∼100µA). Furthermore, during the reset switching, highly repeatable and reliable integral and half-integral quantized conductance (QC) was observed. The observed QC phenomenon was attributed to the two dimensional confinement of electrons as lateral width of the conducting filament (CF) matches the fermi wavelength. The magnitude and number of the QC steps were found to increase from ∼2.5 to 12.5 and from 5 to 18, respectively by increasing the compliance current (IC) from 50 to 800µA which also increased the diameter of the CF from ∼1.2 to 3.3 nm. The enhancement in both number and magnitude of QC states was explained using electrochemical dissolution mechanism of CF of varying diameter. A thicker CF, formed at higherIC, undergoes a gradual rupture during reset process yielding a greater number of QC steps compared to a thinner CF. The realisation of QC states in the crossbar Cu/TiO2/Pt device as well asICmediated tunability of their magnitude and number may find applications in high-density resistive memory storage devices and neuromorphic computing.

Effect of non-linear strain stiffening in eDAH and unjamming.

In cell clusters, the prominent factors at play encompass contractility-based enhanced tissue surface tension and cell unjamming transition. The former effect pertains to the boundary effect, while the latter constitutes a bulk effect. Both effects share outcomes of inducing significant elongation in cells. This elongation is so substantial that it surpasses the limits of linear elasticity, thereby giving rise to additional effects. To investigate these effects, we employ atomic force microscopy (AFM) to analyze how the mechanical properties of individual cells change under such considerable elongation. Our selection of cell lines includes MCF-10A, chosen for its pronounced demonstration of the extended differential adhesion hypothesis (eDAH), and MDA-MB-436, selected due to its manifestation of cell unjamming behavior. In the AFM analyses, we observe a common trend in both cases: as elongation increases, both cell lines exhibit strain stiffening. Notably, this effect is more prominent in MCF-10A compared to MDA-MB-436. Subsequently, we employ AFM on a dynamic range of 1-200 Hz to probe the mechanical characteristics of cell spheroids, focusing on both surface and bulk mechanics. Our findings align with the results from single cell investigations. Specifically, MCF-10A cells, characterized by strong contractile tissue tension, exhibit the greatest stiffness on their surface. Conversely, MDA-MB-436 cells, which experience significant elongation, showcase their highest stiffness within the bulk region. Consequently, the concept of single cell strain stiffening emerges as a crucial element in understanding the mechanics of multicellular spheroids (MCSs), even in the case of MDA-MB-436 cells, which are comparatively softer in nature.

Effectiveness of Immune Checkpoint Inhibitors in Various Tumor Types Treated by Low, Per-Weight, and Conventional Doses at a Tertiary Care Center in Mumbai.

PURPOSE: The cost of immune checkpoint inhibitors (ICIs) limits their accessibility to a small number of patients with cancer in low- and middle-income countries. Early-phase clinical trials have shown target inhibition and high activity at doses lower than those registered and evaluated in clinical trials. Here, we report everyday experience of using ICIs in 100 Indian patients, many of whom received lower doses of ICIs. METHODS: Consecutive patients who received at least one dose of an ICI irrespective of tumor type at a tertiary care hospital in Mumbai, India, that was able to access ICIs for its patients were enrolled. The objectives were to study the doses used over a 3-year time period, and the effectiveness of therapy, assessed primarily by the overall response rate (ORR), overall survival (OS), and progression-free survival were secondary end points. RESULTS: Twenty-five patients were treated with conventional doses of ICIs, 29 patients received lower doses per body weight, and 46 patients received low-dose treatment. The median number of cycles received was 5 (range, 1-28). Seventy-eight patients received ICIs in a palliative setting. The median follow-up time was 10.2, 9.8, and 3.9 months for those receiving fixed approved dosing, per body weight dosing, and low-dose treatment, respectively. There was a trend with time to prescribe lower doses. Response evaluation was available for 92 patients. Twenty-one (five-adjuvant and 16-palliative) patients received ICIs only. The ORR did not differ statistically among different dosing groups, but comparisons are confounded by inclusion of different ICIs, different tumor sites, and concurrent treatments. The median OS was 6.8 (range, 4.6-9.0) months. CONCLUSION: Adoption of per-body weight and lower dosing of ICIs appears to give acceptable outcomes. Lower dosing can improve access and timely delivery of ICIs in low- and middle-income countries.

Putative staphylococcal enterotoxin possesses two common structural motifs for MHC-II binding.

Staphylococcus aureus has become a significant cause of health risks in humankind. Staphylococcal superantigens (SAgs) or enterotoxins are the key virulent factors that can exhibit acute diseases to severe life-threatening conditions. Recent literature reports S. aureus has steadily gained new enterotoxin genes over the past few decades. In spite of current knowledge of the established SAgs, several questions on putative enterotoxins are still remaining unanswered. Keeping that in mind, this study sheds light on a putative enterotoxin SEl26 to characterize its structural and functional properties. In-silico analyses indicate its close relation with the conventional SAgs, especially the zinc-binding SAgs. Additionally, important residues that are vital for the T-cell receptor (TcR) and major histocompatibility complex class II (MHC-II) interaction were predicted and compared with established SAgs. Besides, our biochemical analyses exhibited the binding of this putative enterotoxin with MHC-II, followed by regulating pro-inflammatory and anti-inflammatory cytokines.

Deciphering the mannose transfer mechanism of mycobacterial PimE by molecular dynamics simulations.

Phosphatidyl-myo-inositol mannosides (PIMs), Lipomannan (LM), and Lipoarabinomannan (LAM) are essential components of the cell envelopes of mycobacteria. At the beginning of the biosynthesis of these compounds, phosphatidylinositol (PI) is mannosylated and acylated by various enzymes to produce Ac1/2PIM4, which is used to synthesize either Ac1/2PIM6 or LM/LAM. The protein PimE, a membrane-bound glycosyltransferase (GT-C), catalyzes the addition of a mannose group to Ac1PIM4 to produce Ac1PIM5, using polyprenolphosphate mannose (PPM) as the mannose donor. PimE-deleted Mycobacterium smegmatis (Msmeg) showed structural deformity and increased antibiotic and copper sensitivity. Despite knowing that the mutation D58A caused inactivity in Msmeg, how PimE catalyzes the transfer of mannose from PPM to Ac1/2PIM4 remains unknown. In this study, analyzing the AlphaFold structure of PimE revealed the presence of a tunnel through the D58 residue with two differently charged gates. Molecular docking suggested PPM binds to the hydrophobic tunnel gate, whereas Ac1PIM4 binds to the positively charged tunnel gate. Molecular dynamics (MD) simulations further demonstrated the critical roles of the residues N55, F87, L89, Y163, Q165, K197, L198, R251, F277, W324, H326, and I375 in binding PPM and Ac1PIM4. The mutation D58A caused a faster release of PPM from the catalytic tunnel, explaining the loss of PimE activity. Along with a hypothetical mechanism of mannose transfer by PimE, we also observe the presence of tunnels through a negatively charged aspartate or glutamate with two differently-charged gates among most GT-C enzymes. Common hydrophobic gates of GT-C enzymes probably harbor sugar donors, whereas, differently-charged tunnel gates accommodate various sugar-acceptors.

Crystal structure of a thiolase from Archaeal Pyrococcus furiosus and its in silico functional annotation.

In most of the eukaryotes and archaea, isopentenyl pyrophosphate (IPP) and dimethyl allyl pyrophosphate (DMAPP) essential building blocks of all isoprenoids synthesized in the mevalonate pathway. Here, the first enzyme of this pathway, acetoacetyl CoA thiolase (PFC_04095) from an archaea Pyrococcus furiosus is structurally characterized. The crystal structure of PFC_04095 is determined at 2.7 Å resolution, and the crystal structure reveals the absence of catalytic acid/base cysteine in its active site, which is uncommon in thiolases. In place of cysteine, His285 of HDAF motif performs both protonation and abstraction of proton during the reaction. The crystal structure shows that the distance between Cys83 and His335 is 5.4 Å. So, His335 could not abstract a proton from nucleophilic cysteine (Cys83), resulting in the loss of enzymatic activity of PFC_04095. MD simulations of the docked PFC_04095-acetyl CoA complex show substrate binding instability to the active site pocket. Here, we have reported that the stable binding of acetyl CoA to the PFC_04095 pocket requires the involvement of three protein complexes, i.e., thiolase (PFC_04095), DUF35 (PFC_04100), and HMGCS (PFC_04090).

Staphylococcal superantigen-like protein 10 enhances the amyloidogenic biofilm formation in Staphylococcus aureus.

Staphylococcus aureus is a highly infectious pathogen that represents a significant burden on the current healthcare system. Bacterial attachment to medical implants and host tissue, and the establishment of a mature biofilm, play an important role in chronic diseases such as endocarditis, osteomyelitis and wound infections. These biofilms decrease bacterial susceptibility to antibiotics and immune defences, making the infections challenging to treatment. S. aureus produces numerous exotoxins that contribute to the pathogenesis of the bacteria. In this study, we have identified a novel function of staphylococcal superantigen-like protein 10 (SSL10) in enhancing the formation of staphylococcal biofilms. Biofilm biomass is significantly increased when SSL10 is added exogenously to bacterial cultures, whereas SSL2 and SSL12 are found to be less active. Exogenously added SSL10 mask the surface charge of the bacterial cells and lowers their zeta potential, leading to the aggregation of the cells. Moreover, the biofilm formation by SSL10 is governed by amyloid aggregation, as evident from spectroscopic and microscopic studies. These findings thereby give the first overview of the SSL-mediated amyloid-based biofilm formation and further drive the future research in identifying potential molecules for developing new antibacterial therapies against Staphylococcus aureus.

Rationally Designed Novel Phenyloxazoline Synthase Inhibitors: Chemical Synthesis and Biological Evaluation to Accelerate the Discovery of New Antimycobacterial Antibiotics.

The uncontrolled spread of drug-resistant tuberculosis (DR-TB) clinical cases necessitates the urgent discovery of newer chemotypes with novel mechanisms of action. Here, we report the chemical synthesis of rationally designed novel transition-state analogues (TSAs) by targeting the cyclization (Cy) domain of phenyloxazoline synthase (MbtB), a key enzyme of the conditionally essential siderophore biosynthesis pathway. Following bio-assay-guided evaluation of TSA analogues preferentially in iron-deprived and iron-rich media to understand target preferentiality against a panel of pathogenic and non-pathogenic mycobacteria strains, we identified a hit, i.e., TSA-5. Molecular docking, dynamics, and MMPBSA calculations enabled us to comprehend TSA-5's stable binding at the active site pocket of MbtB_Cy and the results imply that the MbtB_Cy binding pocket has a strong affinity for electron-withdrawing functional groups and contributes to stable polar interactions between enzyme and ligand. Furthermore, enhanced intracellular killing efficacy (8 µg/mL) of TSA-5 against Mycobacterium aurum in infected macrophages is noted in comparison to moderate in vitro antimycobacterial efficacy (64 µg/mL) against M. aurum. TSA-5 also demonstrates whole-cell efflux pump inhibitory activity against Mycobacterium smegmatis. Identification of TSA-5 by focusing on the modular MbtB_Cy domain paves the way for accelerating novel anti-TB antibiotic discoveries.

Isolation and spectral characterisation of bioactives from sea weed Hydrocharis laevigata (Humb. & Bonpl. ex Willd.) Byng & Christenh. - using in silico & high throughput analytical techniques.

This work is the first report dealing with the identification and characterisation of the secondary metabolites of the ethanolic extract of Hydrocharis Laevigata (Humb. & Bonpl. Ex Willd.) Byng & Christenh. The ethanolic extract of H. laevigata was analysed by LCMS& Direct mass spectral analysis which is allowed to identify and Interpreted 6 & 15 compounds. The main constituents were caffeic acid, rosemary acid, Perilic acid, strychnine, hydroxy stearic acid, respectively. The extract further purified by column chromatography 15 fractions was isolated, out of which Perilic acid and strychnine are in high quantities. The structure determination of Perilic acid and strychnine was analysed by FTIR and NMR, respectively. By the molecular docking studies of Perilic acid and strychnine shows active binding energies for antidiabetic activity, respectively. The binding energy was compared with Metformin.

Deciphering the conformational stability of MazE7 antitoxin in Mycobacterium tuberculosis from molecular dynamics simulation study.

MazEF Toxin-antitoxin (TA) systems are associated with the persistent phenotype of the pathogen, Mycobacterium tuberculosis (Mtb), aiding their survival. Though extensively studied, the mode of action between the antitoxin-toxin and DNA of this family remains largely unclear. Here, the important interactions between MazF7 toxin and MazE7 antitoxin, and how MazE7 binds its promoter/operator region have been studied. To elucidate this, molecular dynamics (MD) simulation has been performed on MazE7, MazF7, MazEF7, MazEF7-DNA, and MazE7-DNA complexes to investigate how MazF7 and DNA affect the conformational change and dynamics of MazE7 antitoxin. This study demonstrated that the MazE7 dimer is disordered and one monomer (Chain C) attains stability after binding to the MazF7 toxin. Both the monomers (Chain C and Chain D) however are stabilized when MazE7 binds to DNA. MazE7 is also observed to sterically inhibit tRNA from binding to MazF7, thus suppressing its toxic activity. Comparative structural analysis performed on all the available antitoxins/antitoxin-toxin-DNA structures revealed MazEF7-DNA mechanism was similar to another TA system, AtaRT_E.coli. Simulation performed on the crystal structures of AtaR, AtaT, AtaRT, AtaRT-DNA, and AtaR-DNA showed that the disordered AtaR antitoxin attains stability by AtaT and DNA binding similar to MazE7. Based on these analyses it can thus be hypothesized that the disordered antitoxins enable tighter toxin and DNA binding thus preventing accidental toxin activation. Overall, this study provides crucial structural and dynamic insights into the MazEF7 toxin-antitoxin system and should provide a basis for targeting this TA system in combating Mycobacterium tuberculosis.Communicated by Ramaswamy H. Sarma.

Comparison of Contact Electrification Mechanisms of Selected Polymers and Surface-Functionalized Molecules.

Among the possible alternatives for the improvement of contact electrification for triboelectric energy harvesting purposes, the functionalization of contact surfaces has attracted wide attention due to its versatility and cost-efficiency. Similarly, low-stiffness polymeric materials such as poly(dimethylsiloxane) (PDMS) are regarded as a promising choice of contact material for the same purpose. However, for defining the most efficient combinations of materials of the aforementioned types, a number of theoretical questions still frequently pose difficulties for practical implementation-related tasks. In this regard, the presented study theoretically assesses the possibilities of consistently selecting optimum performance combinations of contact materials. Here, the optimum is defined as the minimum energy of the charge transfer reaction and, consequently, the maximum density of the predicted triboelectric surface charge. With this aim, the most promising combinations in terms of electron-transfer energies were identified among the candidates of functionalized molecules and polymers. Based on the ordering of materials according to the basic characteristics of charge-transfer reactions─electron and hole affinities─certain differences were observed. These findings indicate that for the materials under consideration, it is not possible to establish a single triboelectric series solely based on a single characteristic. Furthermore, to evaluate the potential compatibility of charge-transfer reaction mechanisms based on electron and material transfer, molecular dynamics simulations were conducted using structures that depict pairs of polymers and self-assembled monolayers of functionalized molecules in contact and separated types of operations. The obtained results indicate that the formation of equally charged free fragments of polymer chains is likely taking place in the contact electrification for N-(2-aminoethyl)-3-aminopropyl trimethoxysilane/PDMS interfaces. At variance, a contact electrification mechanism by charge-dependent material transfer may occur for 1H, 1H, 2H, 2H-perfluorooctyl trimethoxysilane/PDMS interfaces.

In vitro Quality Assessments of Perfluorocarbon Nanoemulsions for Near-infrared Fluorescence Imaging of Inflammation in Preclinical Models.

Tracking macrophages by non-invasive molecular imaging can provide useful insights into the immunobiology of inflammatory disorders in preclinical disease models. Perfluorocarbon nanoemulsions (PFC-NEs) have been well documented in their ability to be taken up by macrophages through phagocytosis and serve as 19F magnetic resonance imaging (MRI) tracers of inflammation in vivo and ex vivo. Incorporation of near-infrared fluorescent (NIRF) dyes in PFC-NEs can help monitor the spatiotemporal distribution of macrophages in vivo during inflammatory processes, using NIRF imaging as a complementary methodology to MRI. Here, we discuss in depth how both colloidal and fluorescence stabilities of the PFC-NEs are essential for successful and reliable macrophage tracking in vivo and for their detection in excised tissues ex vivo by NIRF imaging. Furthermore, PFC-NE quality assures NIRF imaging reproducibility and reliability across preclinical studies, providing insights into inflammation progression and therapeutic response. Previous studies focused on assessments of colloidal property changes in response to stress and during storage as a means of quality control. We recently focused on the joint evaluation of both colloidal and fluorescence properties and their relationship to NIRF imaging outcomes. In this protocol, we summarize the key assessments of the fluorescent dye-labeled nanoemulsions, which include long-term particle size distribution monitoring as the measure of colloidal stability and monitoring of the fluorescence signal. Due to its simplicity and reproducibility, our protocols are easy to adopt for researchers to assess the quality of PFC-NEs for in vivo NIRF imaging applications.