Production Capability Research Articles

Bandgap-level engineered photodynamic antibacterial film with boosting ROS production for long-term fruit preservation

The growing demands for fruit preservation have inspired researchers to concentrate on developing advanced food packaging films with sustained and efficient antimicrobial properties. Herein, a visible light-powered photodynamic antimicrobial packaging system with enhanced reactive oxygen species (ROS) production capability (Bi/BiOI1-x-CS) was developed by demand-driven engineering of the bandgap structure of the photo-responsive filler (Bi/BiOI1-x) and the ingenious selection of chitosan matrix (CS) with bacteria capture and killing capabilities. This film displayed excellent photocatalytic killing performance against Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) under the visible light, with the bactericidal efficiency up to 99.36 % and 99.54 %, respectively. The enhancement stemmed from the reasonable optimization of the following two aspects: (i) The iodine defects and lateral modification of pure bismuth jointly optimized the electronic band structure of BiOI and significantly boosted the ROS production level, and (ii) The capturing characteristic of CS on bacteria might shorten the diffusion distance between ROS and bacteria, thus further amplifying the bactericidal effect of ROS. As a result, the as-prepared Bi/BiOI0.201-x-CS film (0.20 shows the Bi/BiOI1-x amount in film solution) exhibited enhanced preservation ability, significantly extending the shelf life of kumquats from 18 to 27 days. Meanwhile, the introduction of Bi/BiOI1-x successfully promoted the mechanical properties, ultraviolet-barrier performance, and hydrophobicity of CS film. The enhancement of comprehensive performance underscores the potential application of Bi/BiOI1-x-CS film in the field of fruit preservation.

Digital data demand and renewable energy limits: Forecasting the impacts on global electricity supply and sustainability

This study critically evaluates whether the current and projected generation of renewable energy can meet the escalating global demand for electricity from digital data growth. Our modelling forecasts reveal a concerning trend: despite the expansion in renewable energy capacities, they are likely insufficient to satisfy the burgeoning electricity needs of the digital data sector. More alarmingly, there is a real risk that the demand for digital data could soon exceed feasible electricity production capabilities. This paper underscores the urgent necessity for a data-centric sustainability approach across all supply chains, sectors, industries, and nations. Such measures are crucial to increase efficiency, cut energy usage, and transition towards a decarbonized digital ecosystem, thereby supporting the global pursuit of a sustainable, net-zero future. This research highlights a critical junction in energy policy and digital infrastructure planning, urging immediate action to reconcile digital advancement with ecological sustainability.

Engineering of Saccharomyces cerevisiae as a platform strain for microbial production of sphingosine-1-phosphate.

Sphingosine-1-phosphate (S1P) is a multifunctional sphingolipid that has been implicated in regulating cellular activities in mammalian cells. Due to its therapeutic potential, there is a growing interest in developing efficient methods for S1P production. To date, the production of S1P has been achieved through chemical synthesis or blood extraction, but these processes have limitations such as complexity and cost. In this study, we generated an S1P-producing Saccharomyces cerevisiae strain by using metabolic engineering and introducing a heterologous sphingolipid biosynthetic pathway to demonstrate the possibility of microbial S1P production. To construct the sphingosine-producing S. cerevisiae strain, both the sphingolipid delta 4 desaturase gene (DES1) and the alkaline ceramidase gene (ACER1) derived from Homo sapiens were introduced into the genome of S. cerevisiae by deleting the dihydrosphingosine phosphate lyase gene (DPL1) and the sphingoid long-chain base kinase gene (LCB5) to prevent S1P degradation and byproduct formation, respectively. The sphingosine-producing strain, DDLA, produced sphingolipids containing sphingosine. In flask fed-batch fermentation, the DDLA strain showed a higher production level of sphingosine under aerobic conditions with high initial cell density. The S1P-producing strain was generated by expressing the human sphingosine kinase gene (SPHK1) under the control of the inducible promoter, while deleting the ORM1 gene involved in the regulation of sphingolipid biosynthesis. The S1P-producing strain, DDLAOgS, exhibited the highest sphingosine production level under fed-batch fermentation in a bioreactor, achieving a 2.6-fold increase compared to flask fermentation. S1P biosynthesis in the DDLAOgS strain was verified by qualitative analysis using electrospray ionization mass spectrometry (ESI-MS). We successfully developed a metabolically engineered S. cerevisiae as a platform strain for microbial production of S1P by introducing an exogenous pathway of sphingolipids metabolism. The engineered yeast strains showed significant capabilities for sphingolipid production, including S1P. To our knowledge, this is the first report demonstrating that engineered S. cerevisiae can be a major platform strain for producing microbial S1P.

STUDY OF PREVALENCE OF MULTI-DRUG RESISTANT ACINETOBACTER SPECIES IN VENTILATOR-ASSOCIATED PNEUMONIAE CASES IN A TERTIARY CARE HOSPITAL, VISAKHAPATNAM

Objective: Acinetobacter sps are important oppurtunistic pathogens with their significance in colonising and persistent biofilm production capabilities. The aim of the present study was to assess the prevalence of multidrug-resistant Acinetobacter sps in ventilator-associated pneumoniae cases in a tertiary care hospital Visakhapatnam. Methods: A prospective study was conducted on 328 endotracheal aspirate samples received in Clinical Laboratory, Department of Microbiology for a period of 1 y, from June 2023 to June 2024, in mechanical ventilated cases, admitted in intensive care units, in a tertiary care hospital, Visakhapatnam. Results: Out of 328 samples received, 42 (12.8%) were Acinetobacter isolates with resistance to Aminoglycosides (66.7%), Cephalosporins (57.1%), Quinolones (52.4%), Carbapenems (42.9%). Biofilm production was identified in 31 isolates (73.8%) by Congo Red Agar method in this study. Conclusion: The potential ability of Acinetobacter sps to form biofilms and antibiotic selective pressure leading to emergence of resistant clones is directly proportional to the injudicious use of antibiotics. There is a strict need of antibiotic stewardship measures in intensive care units to restrict development of pan-resistant strains.

PEak: A Single Source of Truth for Hardware Design and Verification

Domain-specific languages for hardware can significantly enhance designer productivity, but sometimes at the cost of ease of verification. On the other hand, ISA specification languages are too static to be used during early stage design space exploration. We present PEak, an open-source hardware design and specification language, which aims to improve both design productivity and verification capability. PEak does this by providing a single source of truth for functional models, formal specifications, and RTL. PEak has been used in several academic projects, and PEak-generated RTL has been included in three fabricated hardware accelerators. In these projects, the formal capabilities of PEak were crucial for enabling both novel design space exploration techniques and automated compiler synthesis.

Multiple metabolic engineering of Saccharomyces cerevisiae for the production of lycopene

AbstractLycopene is a high‐value‐added tetraterpenoid, which is widely used in cosmetics, medicine, food, and dietary supplements. The intracellular mevalonate pathway of Saccharomyces cerevisiae provides natural precursors for terpenoid product synthesis, so it is an excellent host for the heterologous production of lycopene. In this study, a recombinant strain named L10 with efficient lycopene production capability was constructed through multiple strategies, such as regulating the gene copy number of key enzymes, increasing nicotinamide adenine dinucleotide phosphate supply, and reducing squalene accumulation. Then, considering that intracellular lycopene accumulation can cause cytotoxicity to S. cerevisiae, we attempted to identify a transporter that can efficiently transport lycopene from intracellular to extracellular space. Molecular docking simulations predicted that the ATP‐binding cassette transporter Snq2p may be a potential transporter of lycopene, and its function in promoting lycopene secretion was further determined by overexpression verification. The lycopene secretion titer of the strain L10Z2 overexpressing Snq2p increased to 16.5 times that of the control at the shake‐flask level. After optimizing the galactose regulation system, the intracellular and secreted lycopene production of L11Z2 reached 2113.78 and 26.28 mg/L, respectively, after 150 h fed‐batch culture in a 3‐L bioreactor. This work provides a new research direction for efficient lycopene synthesis in S. cerevisiae cell factory.

TMOD-06. ESTABLISHMENT OF PITUITARY NEUROENDOCRINE TUMOR (PITNET) ORGANOID MODELS

Abstract Pituitary neuroendocrine tumors (PitNETs) are tumors that originate from the anterior pituitary gland. While they are mostly benign, they can cause various clinical symptoms due to hormonal secretion abnormalities. PitNET can be broadly categorized into three lineages, each of which has its differentiation controlled by specific transcription factors. Treatment options for PitNET include surgical resection and pharmacotherapy, but available drugs are limited, and their efficacy markers remain unclear. To develop novel drugs for PitNET and identify their efficacy markers, it is necessary to develop new research models. In recent years, organoid models have garnered attention as novel research models for various cancer types. In this study, we established novel organoid models derived from PitNET patients and analyzed their histological and endocrinological characteristics. Surgical specimens from 4 cases of somatotroph adenoma, 1 case of double adenoma, 1 case of gonadotroph adenoma, and 1 case of corticotroph adenoma were minced in dissection medium and embedded in Matrigel basement membrane matrix respectively. The organoids were cultured under 5% CO2 at 37°C using media supplemented with various growth factors. After 28 days of culture, formalin-fixed paraffin-embedded sections were prepared to examine histological homology with patient tumors. Hematoxylin and eosin staining results showed that all organoids maintained cell morphology and tissue structure similar to the original tumors. Immunohistochemical staining for markers specific to each PitNET revealed similar staining patterns between the organoids and the original tumors. Furthermore, analysis of hormone levels in the culture medium showed that hormone production capabilities, such as growth hormone and follicle stimulating hormone, were maintained even after long-term culture. In this study, we successfully established PitNET organoid models that retain histological and endocrinological characteristics. These models are expected to serve as useful research tools for elucidating the molecular mechanisms of PitNET and developing novel therapies targeting critical molecular abnormalities.

Identifying and optimizing critical process parameters for large-scale manufacturing of iPSC derived insulin-producing β-cells

BackgroundType 1 diabetes, an autoimmune disorder leading to the destruction of pancreatic β-cells, requires lifelong insulin therapy. Islet transplantation offers a promising solution but faces challenges such as limited availability and the need for immunosuppression. Induced pluripotent stem cells (iPSCs) provide a potential alternative source of functional β-cells and have the capability for large-scale production. However, current differentiation protocols, predominantly conducted in hybrid or 2D settings, lack scalability and optimal conditions for suspension culture.MethodsWe examined a range of bioreactor scaleup process parameters and quality target product profiles that might affect the differentiation process. This investigation was conducted using an optimized High Dimensional Design of Experiments (HD-DoE) protocol designed for scalability and implemented in 0.5L (PBS-0.5 Mini) vertical wheel bioreactors.ResultsA three stage suspension manufacturing process is developed, transitioning from adherent to suspension culture, with TB2 media supporting iPSC growth during scaling. Stage-wise optimization approaches and extended differentiation times are used to enhance marker expression and maturation of iPSC-derived islet-like clusters. Continuous bioreactor runs were used to study nutrient and growth limitations and impact on differentiation. The continuous bioreactors were compared to a Control media change bioreactor showing metabolic shifts and a more β-cell-like differentiation profile. Cryopreserved aggregates harvested from the runs were recovered and showed maintenance of viability and insulin secretion capacity post-recovery, indicating their potential for storage and future transplantation therapies.ConclusionThis study demonstrated that stage time increase and limited media replenishing with lactate accumulation can increase the differentiation capacity of insulin producing cells cultured in a large-scale suspension environment.

ZnO with Different Morphologies Sensitized by Metalloporphyrins as Catalysts for H2 Production by Water Splitting Under Sunlight.

In this work, zinc oxide with different morphologies and textural properties were prepared and sensitized with metalloporphyrins (MPs) aiming to improve its solar energy harvesting capability for H2 production by water splitting under sunlight (a 300 W Xe/Hg lamp). An anionic iron(III)porphyrin and a cationic manganese(III)porphyrin were immobilized on different ZnO solids predominantly by electrostatic interactions. In general, the prepared MP-free ZnO solid yielded modest catalytic results which had apparently no direct correlation with their textural properties or morphology. On the other hand, when these ZnO solids had iron or manganese porphyrin sensitizing them, their catalytic performances changed and a superior yield towards H2 production was observed in comparison to the pure ZnO solids, making evident the synergy achieved between these two components (ZnO and metalloporphyrins) for the prepared solids. It was also observed that the metalloporphyrins and the respective free-base ligand suffered redox reactions when used as homogenous catalyst in this reaction, which could influence their performances as catalysts. The same was not observed in the solids containing immobilized MP, suggesting some protective effect of the ZnO solids on the MP complexes upon immobilization probably due to interaction of the complexes with the ZnO matrix.

Experimental investigation on thermodynamic and environmental performance of a novel ocean thermal energy conversion (OTEC)-Air conditioning (AC) system

In the field of isolated island energy supply, the OTEC system is considered promising due to its large storage capacity, and pollution-free characteristics. To improve energy efficiency, polygeneration systems have gradually become a research hotspot for their low cost and high return features. In this context, a novel Ocean Thermal Energy Conversion system integrated with an air conditioning unit (OTEC-AC) is introduced, demonstrating capabilities in electricity, cooling capacity, and fresh water production by experiments. The effects of various flow rates and temperatures of the heat and cold sources, along with the air-conditioning system water flow rate on the system performance is explored. Besides, the overall performance of the OTEC-AC is compared with four representative OTEC models. The results indicate that there is a threshold for the influence of cold and heat source flow rate on the performance of power generation system. The OTEC-AC system shows a highest net power of 132.6 W, cooling capacity of 2.14 kW, condensate production of 3.24 kg/h, and achieves a system exergy efficiency and CO2 reduction of 34.7 % and 5801 kg/year, respectively. The annual CO2 reduction per kilowatt of installed capacity of the system is increased by 135.6 %, compared with the conventional OTEC system.

A Well‐Coupled Supramolecular System Accelerates Photophosphorylation

AbstractSupramolecular assembly allows multiple chemical/bio‐components integrated as one system for cascade biochemical reactions. Herein the graphitic carbon nitrides (g‐C3N4) as photocatalyst trapped in a dipeptide hydrogel covering adenosine triphosphate (ATP) synthase accelerates the photophosphorylation through ATP synthesis. Self‐assembled N‐fluorenylmethoxycarbonyl diphenylalanine (Fmoc‐FF) as nanofibrils to allow g‐C3N4 nanosheets are embedded as a complex Fmoc‐FF/g‐C3N4 hydrogel. Fmoc‐FF gel exhibits good electronic coupling with g‐C3N4, which enables a photo‐induced proton generation. The transmembrane proton gradient can be established by ATP synthase‐lipid reconstituted on the surface of the Fmoc‐FF/g‐C3N4 hydrogel to enhance the ATP synthesis. It indicates that the Fmoc‐FF/g‐C3N4/ATP synthase‐lipid film can possess a longer‐term ATP production capability and allow repeated immersion for sustained ATP production. Such a hydrogel‐supported ATP synthesis platform is achieved by a procedure at a larger scale.

Accelerating green growth: The effect of technological innovation on production capabilities spillovers in developing economies

This research addresses how technological innovation affects the spillovers of production capabilities into the green sectors in countries with developing economies. It examines the evolution of green production capabilities for 226 countries between 2003 and 2015 and identifies the key sectors driving the spillovers of production capabilities. It delves into the patterns observed in the evolution of these capabilities, considering the diverse economic classifications. Finally, it hones in on 72 developing countries that face unique challenges in their pursuit of green economic growth, exploring the effect of technological innovations on the spillovers of production capabilities into their green sectors. Using the ‘Green Sector Space’, an extension of the Product Space methodology, statistical analysis, and Partial Least Square Structural Equation Modeling, the findings of this analysis highlight significant disparities in green production capabilities in developing economies compared to other economic classifications. Additionally, the significant and dominant role non-green sectors have in driving the spillovers of production capabilities into the green sectors, demonstrating a significantly higher dominance observed in developing countries. Finally, the results underscore technological innovations’ significant and positive effect on the spillovers of production capabilities from non-green to green sectors in developing countries, which exhibits a path-dependent evolution pattern. Conversely, it does not have a significant effect on the spillovers between the green sectors. The findings address a gap in the literature by revealing the positive and significant effect of technological innovations on path-dependent green product development. This analysis recommends interventions in developing economies that heavily rely on non-green sectors to leverage technological innovations and diversify their green production capabilities for accelerated green growth.

Automated tablet defect detection and the prediction of disintegration time and crushing strength with deep learning based on tablet surface images

This paper presents novel measurement methods, where deep learning was used to detect tableting defects and determine the crushing strength and disintegration time of tablets on images captured by machine vision. Five different classes of defects were used and the accuracy of the real-time defect recognition performed with the deep learning algorithm YOLOv5 was 99.2%. The system can already match the production capability of tablet presses, with still further room left for improvement. The YOLOv5 algorithm was also used to determine the disintegration time and crushing strength of tablets produced at different compression force settings based on their surface texture. With these accurate, low-cost methods, the 100% screening of the produced tablets could be carried out, resulting in the improvement of quality control and effectiveness of pharmaceutical production.

On-line inspection of lattice structures and metamaterials via in-situ imaging in Additive Manufacturing

As advanced production capabilities are moving towards novel types of geometries as well as higher customization demands, a new and more efficient approach for process and part qualification is becoming an urgent need in industry. The layerwise nature of additive manufacturing (AM) potentially allows anticipating qualification tasks in-line and in-process, aiming at reducing the time and costs devoted to post-process inspections, enabling at the same time an early detection of defects since their onset stage. Such opportunity is particularly attractive in the presence of highly complex shapes like lattice structures or metamaterials, which have been increasingly investigated for industrial adoption in various sectors, aiming to achieve enhanced mechanical properties and innovative functionalities. This paper presents a novel methodology to inspect the geometry of lattice structures while the part is being built. The method is specifically designed to tackle the natural variability affecting layerwise images gathered in laser powder bed fusion. To this aim, it combines the segmentation of in-situ powder bed images of solidified layers with a data modelling approach to synthesize the 3-D shape of each unit cell into a 1-D profile representation. Such low-dimensional representation is suitable to quickly detect undesired distortions that may have a detrimental impact on final quality and performance. By using post-process X-ray computed tomography as ground truth reference, this study shows the effectiveness of the proposed approach for in-line inspection, opening a novel and cost-efficient way to address complex shape qualification for lattice structures in AM.

Hydrogen production capabilities of lichens micro-ecosystem under extreme salinity, crystalline salt exposure, and simulated Mars-like conditions

This work aims to demonstrate the extremophilic behavior of the lichen Pleurosticta acetabulum at extreme salinities, while maintaining its metabolic capacity to produce hydrogen. Lichen is a special micro-ecosystem that includes mostly a fungus and a green alga or cyanobacterium, as well as a microbiome. The peculiarity of this symbiotic system is its ability to dry out completely and stay inactive to survive harsh conditions. Lichens that had been dehydrated for six months revived quickly when rehydrated, restoring their photosynthetic efficiency and ability to produce hydrogen. The lichen microbiome was crucial for hydrogen production, especially through dark fermentation. The experiments of this work showed that lichen during its exposure to different salinity conditions (0%NaCl – control, 3,5%NaCl – sea salt concentration, 36%NaCl – saturated salt concentration), but also after exposure to crystalline salt (100%NaCl) could maintain the structure and the functionality of its photosynthetic apparatus. This was tested using chlorophyll a fluorescence induction measurements. Based on the results of thermal conductivity gas chromatography (GC-TCD) for the determination of hydrogen production, it was shown that despite being exposed to extreme salinity conditions, lichens maintained its ability to produce hydrogen. The experimental combination of lichen exposure to extreme salinities (up to 100% NaCl), with an extreme atmosphere (100% CO2) and low atmospheric pressure (<10mbar), simulating Mars conditions, highlighted the functional potential of the lichen for survival in a Mars-like environment. This lichen’s ability to withstand extreme conditions and to produce large amounts of hydrogen, makes it a promising candidate for future biotechnological applications, even in challenging environments like Mars, opening new astrobiological and astrobiotechnological perspectives.

Polymer semiconductor films and bacteria hybrid artificial bio-leaves.

Bio-artificial photosynthetic systems can reduce CO2 into multicarbon compounds by simulating natural photosynthesis. Here, inspired by organic photovoltaic structures, we demonstrate a bio-artificial photosynthetic system based on the hybridization of polymer semiconductor films and bacteria. The study suggests that the polymer-based semiconductor film can efficiently drive the non-photosynthetic bacteria to convert CO2 to acetate. By systematically characterizing the charge transport behavior of the bio-artificial photosynthetic system, the bulk-heterojunction structure and charge transport layers are proven to enhance the system performance markedly. The scalable floating artificial bio-leaf system can produce acetate to gram scale in a week. Notably, the semiconductor film is easy to recycle and maintains stable performance, showing good sustainable production capability of the system. A quasi-solid-state artificial bio-leaf is successfully prepared using agar to simulate the morphology and function of natural leaves. Last, the acetate production converted from CO2 was used to grow yeast for food production, thus achieving a complete simulation of natural photosynthesis.

Cost management analysis of Objective Structured Clinical Examination (OSCE): guide to the universities of medical sciences

BackgroundThe Objective Structured Clinical Examination (OSCE) is a crucial assessment tool for evaluating learners’ ability to apply theoretical knowledge in practical clinical situations. It is widely accepted by both students and educators, and the costs associated with conducting OSCE assessments vary depending on the field of study, how it is implemented, staffing needs, standardized patients, and duration of the examination. This study examines the expenses related to administering OSCEs in medical universities.MethodConducted from June to September 2023; this mixed-method study elucidated the cost intricacies of executing a two-day OSCE with 14 eight-minute stations for 100 nursing students. This process unfolds in two phases: a qualitative segment comprising text reviews and 45-minute in-depth interviews with faculty members and OSCE experts, leading to the development of a validated checklist, followed by a quantitative phase in which the tool was distributed to 25 faculty members and 5 specialists for completion.ResultThe examination costs were delineated into three primary components: time, human resources, equipment, consumables, and necessary supplies. In 2023, the total implementation cost of the OSCE for 100 students across 14 clinical stations was $1028.07, with an estimated per-learner cost of $37.50. Human resources incurred the highest expenditure ($1649.37); while supply costs were relatively lower ($1072.17). Educational infrastructure expenses were excluded because the study focused on the Nursing and Midwifery Faculty’s Clinical Skills Center.ConclusionVarious factors influence OSCE costs, including national production capabilities of medical supplies, institutional credibility, governance status, examination frequency, student demographics, assessor composition, station count, course content, and examinee volume. The insights derived from this comprehensive examination are significant as entry benchmarks for healthcare systems and higher-level academic evaluations. Understanding OSCE cost dynamics facilitates resource optimization and assessment strategy refinement, thereby improving medical education efficacy.

Boosted photogenerated carriers separation in FeP/Cu3P/ZnIn2S4 photocatalyst for highly efficient H2 evolution under visible light

The development of efficient photocatalysts with effective charge separation and numerous active sites is a key challenge in photocatalysis. ZnIn2S4 based binary and ternary composite photocatalysts were successfully synthesized using microwave hydrothermal and calcination techniques, exhibiting excellent hydrogen production capabilities. Among these, the FeP/Cu3P/ZnIn2S4 composite photocatalysts demonstrated the highest hydrogen production performance, with an average rate of 1.613 mmol g−1 h−1, which was 4.42 times greater than that of pure ZnIn2S4. The enhanced hydrogen production of the FeP/Cu3P/ZnIn2S4 photocatalysts was attributed to the establishment of a p-n heterojunction at the ZnIn2S4 interface. Furthermore, the presence of FeP lowered the hydrogen production barrier in the system and provided additional active sites for the catalytic reaction.

Modeling of relationships between producer and consumer: The impact of advanced production equipment

Subject. The article discusses the influence of advanced production equipment on modeling the relationship between manufacturer and consumer. Objectives. The aim is to assess the impact of the organization's existing production facilities, created on the basis of modern machine tools, on the possibility of building mutually beneficial relations between the manufacturer and the buyer of products. Methods. The research rests on methods of economic and mathematical modeling, in particular, the game theory tools. Results. We formulated a meaningful model of idealized interaction between the parties in the process of concluding a contract for production and purchase of goods, offered a model of positional game of the parties with complete information, in which the participants consistently make decisions with understanding the opponent's previous actions. The analysis of the constructed model enabled to determine the situation of balance between the parties and demonstrate a decrease in consumer's influence on the results of the interaction, due to flexibility and adaptability of production capabilities of the manufacturing organization. Conclusions. The findings demonstrate the influence of aspect associated with the involvement of modern production equipment on the consumer's willingness to establish mutually beneficial relationships with the manufacturing organization. This provides a basis for subsequent implementation of partnership within the framework of relationship marketing.

Identification of gut microbiome features associated with host metabolic health in a large population-based cohort

The complex relationship between the gut microbiome and host metabolic health has been an emerging research area. Several recent studies have highlighted the potential effects of the microbiome’s diversity, composition and metabolic production capabilities on Body Mass Index (BMI), liver health, glucose homeostasis and Type-2 Diabetes (T2D). The majority of these studies were constrained by relatively small cohorts, mostly focusing on individuals with metabolic disorders, limiting a comprehensive understanding of the microbiome’s role in metabolic health. Leveraging a large-scale, comprehensive cohort of nearly 9000 individuals, measured using Continuous Glucose Monitoring (CGM), Dual-energy X-ray absorptiometry (DXA) scan and liver Ultrasound (US) we examined the functional profile of the gut microbiome, and its relation to 38 metabolic health measures. We identified 145 unique bacterial pathways significantly correlated with metabolic health measures, with 86.9% of these showing significant associations with more than one metabolic health measure. Furthermore, 87,678 unique bacterial gene families were found to be significantly associated with at least one metabolic health measure. Notably, “key” bacterial pathways such as purine ribonucleosides degradation and anaerobic energy metabolism demonstrated multiple robust associations across various metabolic health measures, highlighting their potential roles in regulating metabolic processes. Our results remained largely unchanged after adjustments for nutritional habits and for BMI they were replicated in a geographically independent cohort. These insights pave the way for future research and potentially the development of microbiome-targeted interventions to enhance metabolic health.