Journal of Biotechnology

Protein engineering and precision fermentation provide an opportunity to increase the value of food proteins by improving their solubility, stability, functionality, or nutritional composition. Here, we use {beta}-lactoglobulin ({beta}LG) as a model protein to investigate how state-of-the-art computational protein design approaches affect these properties. First, the deep learning-based design tool ProteinMPNN was used to alter up to 20% of {beta}LG residues for increased stability. Second, the physics-based modeling platform PyRosetta was used to find positions in {beta}LG accommodating increased branched-chain amino acid (BCAA) content and up to 10 residues were simultaneously exchanged. Experimental characterisation of ProteinMPNN and stabilised BCAA-enriched variants showed similar secondary structure and oligomeric state as native {beta}LG. ProteinMPNN variants gave increased titers and increased thermal stability up to 15 {degrees}C, and this correlated with changes in the rate of surface pressure in droplet tensiometry. Stabilized BCAA-enriched mutants had altered acid solubility. Correlations between computationally derived biophysical metrics and experimental properties are presented and suggest some predictive power for surface hydrophobicity on protein yield.

In liquid fermentation of filamentous fungi such as Aspergillus oryzae, increased broth viscosity and biomass adhesion to bioreactor surfaces remain major challenges. We previously developed a hyphal dispersion mutant lacking two hyphal adhesion factors, namely cell wall -1,3-glucan (AG) and biofilm galactosaminogalactan (GAG) (AG{Delta}-GAG{Delta} strain). The culture broth of the AG{Delta}-GAG{Delta} strain has low viscosity, which improves mixing and enzyme production. However, mycelia still extensively attach to bioreactor walls and downstream equipment, which impairs mixing and reduces product recovery. The hydrophobin RolA, a surface-active protein of A. oryzae, densely coats conidia and hyphae and contributes to cell surface hydrophobicity. In this study, we disrupted the rolA gene in AG{Delta}-GAG{Delta} (AG{Delta}-GAG{Delta}-{Delta}rolA strain) and evaluated the effects of this disruption on hyphal adhesion to the walls of culture vessels, enzyme production, and bioreactor performance. At the flask scale, the adhesion to glass surfaces was significantly reduced and recombinant enzyme activity was increased by 10%. Improved culture recovery at the end of fermentation further increased total enzyme yield. In a lab-scale stirred-tank bioreactor, both growth and enzyme production were increased. Scaling-up to a 200-L bioreactor showed reduced agitation power consumption while improving hydrodynamic properties. Fermentation of AG{Delta}-GAG{Delta}-{Delta}rolA was successfully scaled up to a 3000-L bioreactor; consistent enzyme activity and improved flow circulation in the bioreactors were confirmed by computational fluid dynamics analysis. Overall, the AG{Delta}-GAG{Delta}-{Delta}rolA strain has increased enzyme production and scalability, supporting its suitability for industrial applications.

The increasing world population necessitates new sustainable nutrient sources, making microalgae like Chlorella sorokiniana interesting due to its rich nutrient profile and sustainable cultivation methods. With genetic optimization tools like CRISPR/Cas9, microalgae as a nutrient source can be improved even further. However, degradation of the rigid cell wall of microalgae, and thereby developing protoplasts, is often necessary prior to transformation, but monitoring protoplast development in spherical, single-celled organisms like C. sorokiniana is challenging using bright-field microscopy. Carbotrace 480 and 630 were tested as fluorescent markers of the cell wall of a C. sorokiniana mutant for protoplast detection, and Carbotrace 480 was successfully used to distinguish protoplast from normal cells in a cell suspension. The enzymes Driselase, Glucanex, Snailase, and Saczyme were tested in different combinations to degrade the cell wall of the mutant, with Snailase as the most effective yielding ~60 % protoplasts. This study provides a quick and easy tool for monitoring protoplast development in the microalgae C. sorokiniana, the first step to improve C. sorokiniana as a sustainable nutrient source using genetic optimization tools like CRISPR/Cas9.

Background & Aims: Adeno-associated virus (AAV) vectors are attractive delivery vehicles for therapeutic gene delivery, and a notable feature of most AAVs is their natural tropism for the liver, which leads to significant hepatic uptake following systemic administration. In previous work, we identified 266G as a conserved motif on a variable region on the capsid of many commonly used AAV variants that controls liver uptake in both mice and non-human primates. This single amino acid could be functionally leveraged to engineer AAVs to either de-target from or enhance tropism to the liver. Here, we explored whether these observations extended to the human context. Methods: Two human hepatocyte models were tested: Fah-/-/Rag2-/-/Il2rg-/- (FRG) mice with humanized livers and a bioengineered human microliver platform in vitro. A barcoded AAV capsid library including standard control serotypes were used to assess the role of the 266G motif on gene transfer and transgene expression in both liver systems. Results: In vivo, 266G containing AAVs indeed targeted human hepatocytes superiorly, with some noted dependency on the degree of human-hepatocyte replacement in the chimeric mouse model. Initial studies in the micropatterned primary human hepatocyte co-culture model however demonstrated enrichment of heparin-binding AAVs, and not 266G variants. Notably, incorporation of polyethylene glycol (PEG) into the system modified the AAV transduction potential of those capsids including the liver-targeting motif, recapitulating the hepatocyte transduction pattern observed in vivo. Importantly, when PEG was used, the two human models, both at the DNA and RNA level, did correlate significantly. Conclusions: Our results showed the potential of a combinatorial AAV library for model validation and revealed the human microliver platform-PEG as a reliable system for the development of AAV therapeutics.

Acetate is a promising carbon source for microbial biotechnology as it can be produced sustainably from lignocellulosic biomass or C1 gases. Since acetate is directly activated to acetyl-CoA, it is especially suitable for producing acetyl-CoA-derived products, showcased here with the production of 3-(3-hydroxyalkanoyloxy) alkanoic acids (HAAs). P. putida KT2440 can natively metabolize acetate, but the weak acid has also inhibitory effects on microbial growth. We present an in-depth study on the physiology of P. putida KT2440 using acetate as carbon and energy source and evaluate acetate as feedstock for the biosynthesis of HAAs. Initially, a rational engineering approach to overexpress acetyl-CoA synthetase for acetate activation resulted in an improved growth rate of 16% and reduced lag phase by six hours. To further increase the performance of P. putida KT2440 on acetate, adaptive laboratory evolution was performed. This resulted in an improvement in the growth rate from 0.4 h-1 to 0.6 h-1 and enabled growth on up to 12.5 g L-1 acetate with a shortened lag phase compared to the wild type. Whole-genome sequencing revealed mutations in proteins involved in gene expression regulation and signal transduction. This evolutionary engineering approach informed the deletions of gacS and crc, which resulted in a reduction in the lag phase from seven hours to one hour and an improvement of the growth rate by 25 %, matching the growth properties of the evolved clones. Using the evolved strains for the production of HAAs resulted in faster biomass and product formation with product titers reaching up to 94 % of that of the wild type. In conclusion, we identified mechanisms in the acetate metabolism of P. putida KT2440 and improved the growth performance of the strain by rational and evolutionary engineering, demonstrating the potential of the promising, but challenging 3rd generation feedstock acetate.

Endothelial cells (ECs) derived from human induced pluripotent stem cells (hiPSCs) are increasingly used to model vascular diseases and test therapeutic strategies. However, the efficiency and reproducibility of differentiation can vary depending on the culture medium and its supplemented factors and stages. Here, we directly compared two defined media, APEL and BPEL, for iPSC-to-ECs differentiation. iPSCs were differentiated over 10 days with sequential growth factor induction, followed by magnetic-activated cell sorting or flow cytometry for CD31+ cells. Both media produced ECs with similar morphology and marker expression, including CD31 and VE-cadherin. Functional assays demonstrated comparable tube formation, indicating equivalent endothelial functionality. Cost analysis indicated that APEL had a higher total reagent cost but generated a higher total cell yield, resulting in a comparable cost per 10 total cells, whereas BPEL was more cost-efficient for producing CD31/VE-cadherin endothelial-specific cells. Our results suggest that APEL and BPEL media are equally effective for generating iPSC-derived ECs, providing flexibility in method selection for vascular disease modeling and drug discovery applications.

Induced pluripotent stem cells (iPSCs) hold great promise for both allogeneic and autologous cellular therapies. However, broad application and clinical translation is hindered by fragmented, complex and time-intensive workflows, resulting in high manufacturing costs, poor standardization and increased risk of genomic aberrations in derived iPSCs. In this study we developed a standardizable, automatable and time- efficient process for the derivation of monoclonal iPSC lines straight from skin including a comprehensive and cascaded OC strategy. We generated monoclonal iPSC lines derived from human skin punch biopsies of ten donors (age 49-81) via mRNA-based reprogramming that subsequently underwent comprehensive and thorough characterization of phenotypic and genetic properties. The use of a combined mechanical and enzymatic fibroblast isolation protocol and a transient non-integrative reprogramming technology allowed us to obtain 78 monoclonal iPSC lines, ready for banking, molecular characterization and further differentiation within seven weeks from initial sample processing to passage four iPSC lines. The phenotypical characterization via flow cytometry-based pluripotency marker expression and 2D-directed differentiation into the three germ layers showed low intra- and inter-donor variability over all generated lines. A combination of SNP array based CNV analysis followed by whole exome sequencing proved to be the most efficient approach for assessment of genomic integrity. Proof-of-concept experiments for closed system processing revealed that a substantial part of the most error-prone and technically demanding steps can be transferred to semi- automated, closed systems. In conclusion, the described protocol allows for time- efficient, standardizable and automatable generation of high-quality monoclonal iPSC lines from human skin punch biopsies within seven weeks, thus moving the field of autologous iPSC manufacturing one step further towards cost-efficient clinical implementation.

Nisin is a promising antimicrobial peptide widely used in food preservation due to its efficacy against Gram-positive spoilage and pathogenic bacteria. Although Nisin is increasingly applied in the food sector, the biopeptide suffers from instability within food matrixes and can rapidly lose its antimicrobial potential following interaction with food biomolecules. Thus, it is necessary to investigate approaches that can be employed to extend the stability and activity of Nisin. Hence, the aim of this study was to develop and characterise a chitosan-alginate polyelectrolyte microencapsulation system capable of enhancing Nisin stability while retaining antimicrobial activity. The microencapsulation of Nisin was achieved by pre-gelation of alginate using calcium chloride and subsequent direct electrostatic interaction between cationic Nisin and chitosan with pre-gelled anionic alginate at pH 5.0. Following microcapsule formation, physicochemical and structural characterisation was performed using Zeta potential determination and measurement of the polydispersity index (PDI) via dynamic light scattering. SEM micrographs were used to confirm morphology, while Fourier-transform infrared (FTIR) spectroscopy and high-performance liquid chromatography (HPLC) were utilised to assess chemical integrity and functional group preservation of encapsulated Nisin. Following this, stable microcapsules with diameters ranging from 150-200 nm and smooth surface morphology were obtained. Microcapsule formation was strongly influenced by formulation parameters, particularly pH, calcium ion concentration, and chitosan content, with deviations from optimal acidic conditions (< pH 5.0) resulting in aggregation, increased polydispersity, and reduced encapsulation efficiency. The microcapsules were monodispersed (PDI {approx} 0.30) and electrostatically stable, exhibiting a Zeta potential of approximately +36 mV. These microcapsules remained stable over a prolonged storage period of 21 days under refrigerated conditions while retaining antimicrobial activity against Bacillus cereus. Encapsulation efficiency reached approximately 65%, confirming effective retention of Nisin within the polymer matrix. Overall, the findings demonstrate that chitosan-alginate ionic gelation is a non-denaturing and effective encapsulation strategy for extending the functional stability of Nisin. These microcapsules show strong potential as natural antimicrobial delivery systems for food and beverage applications, particularly in acidic food matrices, with implications for improved food safety and shelf-life extension.

Multiple vectors and bacterial strains have been developed to enable cloning and amplification of DNA plasmids used in bioengineering applications when transgenic components are toxic to the host. These include plasmids that limit readthrough transcription into transgenic sequences and host strains carrying mutations to minimize recombination or plasmid copy number. However, these techniques are insufficient in cases where transgene expression elements are recognized by the bacterial transcriptional apparatus, or the translation products have functions in cellular metabolism. Here we demonstrate two platforms that mitigate bacterial expression of transgenes driven by the prokaryotic-like promoters of chloroplast transgenes destined for use in plant plastid genetic engineering applications. Both an engineered CRISPRi approach and utilization of the native E. coli Hfq repression system resulted in significant knockdown of plasmid-borne transgene expression, resulting in reproducibly successful cloning and plasmid amplification. The advancements reported here will facilitate synthetic biology studies generally, and enable complex transgenic studies in prokaryotic-like organelles.

Biopreservatives including nisin and its derivatives are becoming more desirable in the food processing industry because of the growing demand for naturally preserved and minimally processed foods free from artificial preservatives. However, ensuring microbiological safety while meeting these consumer preferences remains a major challenge. This has necessitated the continuous investigation of potential new antimicrobial agents produced by naturally occurring microorganisms. Hence, this study explored the synthesis, characterisation, and optimisation of a bacteriocinogenic lactic acid bacterium and its antimicrobial product, possibly novel bacteriocin (Nisin 2A) from Lactococcus lactis isolated from commercial brined cheese. The isolation was achieved by screening for wild-type bacteriocin-producing lactic acid bacteria from dairy products using MRS media. Screening was performed using antagonism assays, yielding five producer organisms. Of these, the isolate whose metabolites exhibited the most potent antimicrobial activity was identified as Lactococcus lactis, which synthesised an active antimicrobial peptide designated as Nisin 2A, with a molecular mass of approximately 3.3 kDa as determined by UHPLC-MS and SDS-PAGE. Production of Nisin 2A was scaled up through fed-batch fermentation of Lactococcus lactis in modified MRS broth following process optimisation using a Plackett-Burman experimental design and purified by ammonium sulphate precipitation and solid-phase extraction (SPE). Furthermore, the antimicrobial potential of the bacteriocin was evaluated by the agar well diffusion assay and quantified using the tube dilution method. The purified peptide demonstrated broad-spectrum antimicrobial activity, particularly against the test Gram-positive bacteria Bacillus cereus and retained its bioactivity across a wide pH range (3-9) and high thermal conditions (up to 100 {degrees}C). Furthermore, it had high sensitivity to proteolytic enzymes (Proteinase K and Trypsin). Notably, the peptide was thermostable and retained up to 90% of its initial activity after thermal treatment and maintained consistent inhibitory performance after extended storage. These findings highlight the potential application of Nisin 2A as a natural biopreservative in food systems.

Kinema is a traditional fermented soybean food indigenous to the eastern Himalayan regions of Nepal and India. The fermentation process is primarily mediated by the bacterium Bacillus subtilis, which produces several bioactive compounds and enzymes with potential therapeutic applications. Considering the growing burden of cardiovascular diseases and the need for effective fibrinolytic agents for thrombolytic therapy, this study aimed to extract, partially purify, and evaluate the thrombolytic potential of kinemakinase derived from kinema prepared from white soybeans. Partial purification of the enzyme was achieved using ammonium sulfate precipitation. Thrombolytic activity was assessed in vitro using human blood clots, where three enzyme dilutions demonstrated clot lysis ranging from 66% to 68%, indicating considerable fibrinolytic potential. In silico analyses were also performed to investigate the structural and functional characteristics of the enzyme. The tertiary structure obtained from UniProt was modeled using the Robetta server and refined with GalaxyRefine. Docking with fibrin using ClusPro 2.0 and molecular dynamics simulations using iMODS confirmed favorable interaction and structural stability, while disulfide engineering enhanced protein stability. The findings suggest that kinema-derived kinemakinase may serve as a promising alternative thrombolytic agent, warranting further biochemical characterization and dosage optimization.

Adipose-derived mesenchymal stem cells (gAD-MSCs) are promising candidates for veterinary regenerative medicine, yet the characterization of gAD-MSCs from locally adapted Indonesian goat breeds remains limited. This study aimed to isolate and characterize gAD-MSCs from Peranakan Ettawa (PE) goats using tissue explant culture. Subcutaneous adipose tissue was collected from the base of the tail of healthy PE goats (n=3). Primary cell outgrowth from explants was observed by Day 5, displaying characteristic fibroblast-like, spindle-shaped morphology and strong plastic adherence. Serial passaging to Passage 3 (P3) yielded a morphologically stable, homogeneous cell population. Assessment of cellular metabolic activity via the resazurin assay demonstrated sustained cell viability and a statistically significant increase in metabolic activity between Day 3 and Day 5 (p < 0.05). Furthermore, functional clonogenic capacity, evaluated using the colony-forming unit (CFU) assay, showed continuous temporal expansion of colonies over 14 days, yielding an average of 52.0 + - 4.1 colonies per dish. These findings confirm that expanded gAD-MSCs P3from PE goats maintain characteristic mesenchymal morphology, sustained metabolic activity, and clonogenic capacity. This work provides a baseline cellular profile of PE goat gAD-MSCs, supporting their potential use in veterinary regenerative medicine and tissue engineering.

Multi-stage continuous bioprocessing can increase volumetric productivity, operational consistency, and process throughput, but its design is complicated by coupling among dilution rate, reactor volume, feed allocation, and cellular physiology. Here, we present ContiDesigner, available at https://chemnettools.anc.univie.ac.at/ContiDesigner/, a mechanistic steady-state framework and interactive web tool for the system-level design of continuous fermentation cascades. Comparing one- and two-stage configurations at equal total reactor volume and outlet flow, ContiDesigner reveals how internal flow and reactor volume allocation shape space-time yield and identifies productivity-maximizing operating conditions. Compared with one-stage processes, two-stage cascades favor lower over-all dilution rates, thereby preserving residence time in the production stage. The first-stage dilution rate approaches the corresponding one-stage productivity optimum, but the cascade optimum occurs earlier, reflecting a system-level compromise between biomass generation and production-stage residence time. However, two-stage operation outperforms optimized one-stage operation only when non-growth-associated production in the second stage is sufficiently strong, whereas increasing growth coupling favors one-stage operation. Two case studies demonstrate both the potential and limits of process intensification. An optimized two-stage design is predicted to achieve a more than 1.5 fold increase in space-time yield for poly-R-3-hydroxybutyrate (PHB) production compared with a published experimental five-stage cascade, whereas the lactic acid case study identifies conditions under which staging offers no advantage. ContiDesigner translates these design principles into an accessible workflow to explore feasible operating regions and prioritize cascade designs for experimental evaluation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=130 SRC="FIGDIR/small/743657v1_ufig1.gif" ALT="Figure 1"> View larger version (37K): org.highwire.dtl.DTLVardef@ef58faorg.highwire.dtl.DTLVardef@1ba88a4org.highwire.dtl.DTLVardef@160edd3org.highwire.dtl.DTLVardef@9dda34_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LIContiDesigner enables system-level design of continuous fermentation cascades C_LIO_LIHigh stage-one dilution supports biomass generation C_LIO_LILow stage-two dilution preserves productive residence time C_LIO_LIYet two-stage cascades favor lower overall dilution than one-stage systems C_LIO_LITwo-stage advantage requires strong non-growth-associated production in stage two C_LI

BackgroundContinuous glucose monitoring (CGM) systems are used not only for retrospective assessment of the glycemic profile but also for real-time decision-making, including automated insulin delivery. Accordingly, CGM performance characterization must capture not only the agreement of individual paired values but also the systems ability to reproduce the direction, rate, amplitude, and shape of glucose concentration change. Summary metrics, most notably MARD, cannot establish whether an observed deviation reflects an error in the formation of the test profile itself, a constant sensor offset, amplitude compression, a change in response rate, temporal misalignment, or hysteresis. ObjectiveTo adapt a programmable flow-based in vitro platform for the separate assessment of the experimentally delivered glucose profile and the dynamic response of CGM systems, and to propose a set of metrics that decomposes dynamic error into its components. MethodsGLU profiles were generated by programmable mixing of solutions at a constant total flow rate of 2 mL/min. Actual GLU concentration was independently measured with a SUPER GL2 glucose analyzer. Four static levels, three repeats of a 5.5[-&gt;]12.0[-&gt;]5.5 mmol/L profile, three repeats of a 6.0[-&gt;]3.0[-&gt;]6.0 mmol/L hypoglycemic profile, three 5.0[-&gt;]15.0[-&gt;]5.0 mmol/L profiles at different rates, one complex 4[-&gt;]18[-&gt;]3[-&gt;]12[-&gt;]5.5 mmol/L profile, and two proof-of-concept sensor experiments at 100- and 200-min transitions were investigated. Dynamic response was characterized by bias, MAE, RMSE, MARD, amplitude transfer coefficient K_A, rate transfer coefficients K_up and K_down, normalized shape RMSE, residual shift, and hysteresis loop area. ResultsAt the static levels, measured GLU exceeded the programmed value by 0.234-0.780 mmol/L. In the repeated 5.5[-&gt;]12.0[-&gt;]5.5 profiles, the ratio of actual to programmed rate was 0.978-1.083 on the rising phase and 0.987-1.157 on the falling phase, while the amplitude transfer coefficient was 0.967-1.066. In the hypoglycemic profile, minimum GLU was 2.55- 2.96 mmol/L, and time below 3.0 mmol/L was 15.2-72.6 min. The measured rates of 0.0519, 0.1045, and 0.2027 mmol/L/min preserved the intended ratio of approximately 1:2:4. In the complex profile, the programmed plateau of 18 mmol/L was not reached: mean measured GLU was 16.20 mmol/L. For CGM-A, K_A was 0.682 and 0.650, and K_up/K_down were 0.666/0.730 and 0.634/0.626; the corresponding values for CGM-B were 1.228 and 1.128, and 1.564/1.328 and 1.276/1.145. Hysteresis loop area differed 5- to 10-fold between the two sensor responses, exceeding an order of magnitude at the 100-min transition. ConclusionThe programmed concentration should be treated as a control setpoint, rather than as a reference measurement. The "programmed trajectory -- measured glucose -- CGM output" cascade first allows quantitative assessment of the agreement between the programmed and actually realized profile and only then separate characterization of sensor response. Decomposition of dynamic error into amplitude, rate, shape, and hysteresis components reveals differences that a single MARD value or correlation coefficient cannot capture.

Given the current global environmental challenges, waste biomass is an attractive renewable resource for circular economies. Gasification of biomass yields syngas (CO, CO2, and H2) that is a suitable feedstock for gas fermentation in biomanufacturing of fuels and chemicals using acetogen microbes. While it is generally known that syngas composition influences both acetogen growth and process performance, we are lacking a consistent dataset quantifying these effects under controlled fermentation conditions. Here, we mapped the metabolic response of the model-acetogen Clostridium autoethanogenum to seven synthetic syngas mixtures during exponential batch growth in bioreactor fermentations. Notably, distinct gas compositions resulted in different fermentation profiles, affecting both growth and metabolite production. Maximum specific growth rates ranged within 0.05 0.13 h-1, with slower growth for low-CO mixtures. While acetate and ethanol production yields varied between 20-133 and 76-353 mmol per gram dry cell weight, respectively, minor production of 2,3-butanediol was detected. All syngas mixtures supported co-utilization of CO and H2, though gas uptake stoichiometry only moderately correlated with syngas content. Importantly, gas uptake stoichiometry strongly influenced carbon partitioning, with higher relative H2 uptake reducing CO2 loss or even realizing CO2 fixation together with increasing carbon flow towards metabolites. Interestingly, higher syngas H2 content favored ethanol and 2,3-butanediol production, while higher H2:CO uptake ratios increased total flux through the Wood-Ljungdahl pathway rather than selectively favoring reduced by-products. Our results are valuable for a better understanding of syngas composition effects on the acetogen biocatalyst and for process engineering towards optimizing gas fermentation performance. HighlightsO_LISyngas composition affects acetogen growth, gas uptake, and carbon distribution C_LIO_LIHigher H2:CO uptake ratios increase carbon flow through the Wood-Ljungdahl pathway C_LIO_LIHigher relative H2 uptake reduces CO2 loss and increases metabolite production C_LI

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the loss of dopaminergic (DA) neurons and alpha-synuclein aggregation, with ferroptosis playing a critical pathological role. This study investigated the neuroprotective potential of Kocuria rhizophila strain CDMP12, a marine bacterium isolated from the Gulf of Mannar, India, using Caenorhabditis elegans models of PD. Dietary supplementation with K. rhizophila (CDMP12) significantly preserved DA neuron structure, rescued neuro-sensory and motor deficits, and attenuated both alpha-synuclein expression in the C. elegans models. Transcriptomic and qRT-PCR analyses revealed that CDMP12 systematically suppressed ferroptosis by significantly downregulating iron and lipid regulatory genes such as smf-3, ftn-1, and acs-4, while upregulating the protective antioxidant gene gpx-1. Furthermore, BODIPY staining demonstrated that CDMP12 treatment markedly reduced lipid peroxidation, lowering the oxidized-to-non-oxidized lipid ratio in PD worms. Collectively, these findings identify K. rhizophila (CDMP12) as a promising marine-derived neuroprotective candidate that mitigates PD-associated pathology, accompanied by reduced alpha-synuclein burden, preservation of DA neuronal function, and attenuation of ferroptosis-associated molecular and lipid peroxidation signatures.

The coprophilous agaricomycete Coprinopsis cinerea is a model organism for antagonistic fungal-bacterial interactions. Previous studies showed that C. cinerea responds to antagonistic bacteria with strong induction of a set of genes encoding secreted antibacterial molecules. However, little is known about the elicitors of this response. Key open questions in this respect include whether individual antibacterial defence genes are induced by different bacteria and/or by specific bacterial soluble molecules. Here, we present a new C. cinerea reporter system to monitor antibacterial defence induction and address related outstanding issues with minimal hands-on time. In this system, the promoter of the endogenous bacterial-induced gene cclys1 drives the expression of cnluc, which encodes a secreted variant of the deep-sea shrimp luciferase Nluc. We show that cNluc allows to detect and quantify cclys1 induction by measuring luminescence directly in the culture medium of reporter strain colonies. Building on these features, we successfully leveraged the inducible cNluc reporter strain for the development of a novel 96-well plate assay that allows the high-throughput screening of antibacterial defence elicitors. As cNluc can be subject to degradation by secreted proteases of fungal or bacterial origin in the culture medium, we coupled this assay to confirmatory qRT-PCR. Testing this set-up by confronting the reporter strain with several different bacteria revealed that cclys1 induction occurs independently of the bacterial ecological niche. Based on these results, we also recommend qRT-PCR exclusively for validation of negative results. We conclude that cNluc offers significant advantages over cytoplasmic reporter proteins, especially for preliminary rapid screening of multiple conditions.

Air-liquid interface (ALI) cultures consisting of well-differentiated primary respiratory epithelial cells (PRECs) provide a versatile in vitro model for pharmacological studies and to investigate host-pathogen interactions. Proliferation and differentiation of PRECs require complex media containing several growth factors, hormones, and nutrients. Usually, some of these essential components are provided by the addition of fetal calf serum (FCS). However, several disadvantages of FCS and, most importantly, ethical concerns regarding the method of serum collection have encouraged researchers to find alternatives. Human platelet lysate (hPL) has emerged as a promising alternative to FCS for supporting cell expansion in vitro. In the present study, we investigated the effects of different concentrations of hPL on the proliferation of porcine PRECs and their subsequent differentiation under ALI conditions. Cell morphology was assessed by phase-contrast microscopy, while cell proliferation was evaluated using the ClickTech EdU Cell Proliferation Kit and visualization of proliferating cells by fluorescence microscopy. Differentiation under ALI conditions was monitored by immunofluorescence staining of ciliated cells and the establishment of an intact epithelial barrier was confirmed by measuring transepithelial electrical resistance (TEER). We found that 5% hPL supported efficient cell growth and the subsequent formation of a functional, well-differentiated airway epithelium comparable to or even better than 10% FCS. Thus, hPL offers a reproducible, ethically sound, and scalable alternative to FCS for complex cell culture models in respiratory research, drug development, and host-pathogen interaction studies. LO_SCPLOWAYC_SCPLOW SO_SCPLOWUMMARYC_SCPLOWRespiratory epithelial cells from the lungs of slaughtered animals, such as pigs, can be used for cell culture models to study respiratory diseases and drug development. Air-liquid interface (ALI) cultures closely mimic the natural environment of the airways by exposing the cells to air, making them a valuable alternative to animal experiments. To grow and mature properly, these cells require nutrients and growth factors that are commonly supplied by serum from unborn calves (FCS). However, for ethical and scientific reasons, the use of FCS should be avoided. Therefore, we evaluated whether human platelet lysate (hPL) derived from expired blood donations could replace FCS in ALI cultures. We found that adding 5% hPL to the medium supported efficient cell growth and the development of a well-differentiated airway epithelium. This approach enables the use of an improved and ethically superior model of the (porcine) respiratory tract in accordance with the 3Rs principle.

The cryopreservation of testicular tissue is crucial for maintaining male fertility; However, its efficacy is often compromised by oxidative stress and mitochondrial dysfunction. Trehalose, a natural cryoprotectant, demonstrates significant potential, yet its specific mechanisms, particularly in mitochondrial regulation, remain insufficiently characterized. This study aimed to investigate the cryoprotective effects of trehalose on testicular tissue from 18-21-day-old piglets, with a focus on mitochondrial metabolism. Samples were cryopreserved via a slow-freezing protocol in a modified standard solution containing 200 mmol/L trehalose. The protective effect was evaluated by measuring testosterone synthesis, blood testis barrier (BTB) and spermatogenesis. Additionally, protective outcomes were assessed by measuring cell viability, tissue morphology, reactive oxygen species (ROS) levels, apoptosis rates, and testosterone secretion following freeze-thaw cycles. Transcriptomic sequencing and bioinformatics analyses were conducted to elucidate the underlying molecular mechanism. Cryopreservation led to reduced testosterone synthesis and secretion, decreased levels of BTB-binding proteins, and impaired spermatogenesis. Results indicated that 200 mmol/L trehalose significantly improved cell survival, decreased apoptosis and ROS levels, and enhanced testosterone secretion. 200 mmol/L trehalose partially increased the expression of StAR and CYP11A1 genes associated with testosterone synthesis while it protected the tight junction proteins Claudin-11, ZO-1 and the gap junction protein Cx43. Consequently, it exerted a reproductive protective effect by increasing the expression of key spermatogenic regulators DDX25, HMGB2, acrosomal protein DYP19L2, and sperm tail proteins AKAP4 and CFAP44. Transcriptomic profiling demonstrated that trehalose predominantly restored the transcriptional expression of genes involved in the mitochondrial electron transport chain and oxidative phosphorylation pathways, including ND2, COX2, ATP8, ATP6, ND5, ND6 and CYTB. These findings indicate that trehalose primarily protects piglet testicular tissue during cryopreservation by enhancing mitochondrial function, thereby providing a molecular basis for optimizing cryopreservation protocols.

Antimicrobial resistance has intensified the search for sustainable natural products with antimicrobial properties. Pleurotus ostreatus cultivated on lignocellulosic agro-wastes, including cassava peel, offers potential for bioactive-compound production and agricultural waste valorization. Conventional antimicrobial screening, however, can be labour-intensive when multiple extracts and pathogens are evaluated. This study evaluated whether extraction solvent, broad pathogen taxonomic category, and batch-level mycochemical composition could predict the antimicrobial response of P. ostreatus extracts cultivated on cassava peel and identified the variables contributing most strongly to prediction. Ethanolic and aqueous mushroom extracts were evaluated against seven microbial pathogens using agar well diffusion and broth microdilution assays. The dataset comprised 42 observations. A Random Forest model with leave-one-out cross-validation (LOOCV) was used to model zone of inhibition as a regression task and minimum inhibitory concentration (MIC) as a binary classification task. The Random Forest regression model showed moderate internal predictive performance for zone of inhibition (R2 = 0.68, MAE = 0.62 mm, RMSE = 0.75 mm). Extraction solvent was the strongest predictor, whereas batch-level mycochemical variables contributed minimally. In contrast, MIC classification performed poorly (accuracy = 0.43; F1-score = 0.33), indicating that the available predictors were insufficient to discriminate the two observed MIC groups. The findings support machine learning as an exploratory complement to antimicrobial screening of mushroom-derived natural products. Given the limited dataset and three cultivation batches, the results are preliminary. Larger, multi-substrate and multi-species datasets with replicate-resolved biochemical measurements will be required to develop robust predictive models.