Functional Attributes Research Articles

Mucilage-based composites films and coatings for food packaging application: A review.

Developing sustainable and eco-friendly packaging solutions has garnered significant interest in recent years. Mucilage-based coatings and composites offer a promising approach due to their biodegradability, renewable nature, and ability to enhance food quality protection. This review paper discusses the impact of mucilage-based composites and coatings on various packaging applications, focusing on their physical, mechanical, morphological, barrier, and functional properties. These materials' adaptability, flexibility, transparency, and compatibility with various food products make them highly suitable for food packaging. The morphological structure of mucilage-based films contributes to improved adhesion, surface roughness, and homogeneity. Enhanced barriers against moisture, oxygen, and other gases extend the shelf life of packaged food while maintaining its quality. Mucilage from different plant sources exhibits functional properties such as antioxidant and antimicrobial activities, which enhance food preservation. These attributes and mucilage's biocompatibility and biodegradability align with the growing demand for environmentally friendly packaging options. The review also addresses cost-effectiveness, regulatory compliance, consumer acceptance, recycling infrastructure compatibility, supply chain considerations, and the need for ongoing innovation. Future advancements in mucilage-based packaging will depend on optimizing performance, scalability, and sustainability. By understanding the effects on physio-mechanical, morphological, barrier, and functional attributes, mucilage-based composites and coatings hold great potential for advancing sustainable food packaging solutions.

Understanding metro station areas’ functional characteristics via embedding representation: A case study of shanghai

As crucial transportation hubs for urban travel, metro stations catalyze the transformation of their surrounding areas into highly prominent locations where many activities converge. Uncovering the functional attributes of station areas holds immense significance in comprehending citizens’ activity demands, thereby offering valuable insights for regional development and planning in proximity to metro stations. This study introduces a framework that improves the process of accurately representing station areas. On the basis of the semantic vectors of point of interests (POI) categories trained by the GloVe model, the partition smooth inverse frequency (P-SIF) model and affinity propagation (AP) are employed to generate the embedding representations of station areas and categorize. Finally, we classify the station areas into 9 functional groups: and analyse the spatial distribution characteristics of each group. It is found that most of the station areas in Shanghai show the characteristics of mixed type, in which the characteristics of residential type and commercial type are obvious. In terms of spatial, the stations with commercial characteristics are mainly distributed in the central area of the city, while those with residential and working characteristics are scattered.

Unravelling the Digestibility and Structure-Function Relationship of Lentil Protein Through Germination and Molecular Weight Fractionation.

This study explores for the first time the impact of a 6-day germination process on the structure (FTIR), antioxidant activity, nutritional/safety attributes (ACE-I inhibitory activity, digestibility, and cytotoxicity), and functional properties of fractions of variable molecular weight (W > 5 kDa; 3 kDa < MW < 5 kDa; and MW < 3 kDa) isolated from proteins extracted from lentils. FTIR results indicated a substantial increase in β-sheet contents during germination. The digestibility of proteins increased from day 0 (16.32-17.04%) to day 6 of germination (24.92-26.05%) with variable levels of digestibility depending on their MW. ACE-I inhibitory activity improved during germination in all fractions, reaching IC50 values of 0.95, 0.83, and 0.69 mg/mL after 6 days of germination. All antioxidant activities analyzed notably increased, particularly in low-MW fractions (MW < 3 kDa). The functional properties of low-MW fractions were also the most promising, displaying the highest water and fat binding capacities and emulsifying and foaming capacities but lower foaming and emulsifying stability compared to high-MW fractions. Cytotoxicity tests on L929 cells revealed the slight adverse effects of low-MW fractions during germination. This study provides insights into the enhanced nutritional and functional attributes of lentil proteins following germination, emphasizing their potential application in functional foods.

Technologies for enhancing tactile perception in prosthetic devices

Tactile perception is a vital sensory function, and its role has been widely researched in the development of sensor technologies. The role of tactile feedback in augmenting the functional attributes of prosthetic devices is well-documented, as it facilitates a more seamless and natural engagement between the user and the surrounding environment. This paper explores advancements in tactile sensor technologies used to enhance sensory feedback in prosthetics, focusing on piezoresistive, piezoelectric, and capacitive sensors. The integration of these sensors allows for precise control, improving object manipulation and overall user experience. By reviewing recent innovations such as multimodal sensors, artificial skin technologies, and nerve interfacing systems, this research highlights how these advancements have contributed to enhanced motor control and real-time feedback mechanisms in prosthetics. Despite significant progress, challenges such as high costs and limited accessibility remain. However, potentially leading to the widespread adoption of more effective and equitable prosthetic solutions.

Directed Evolution of Microbial Communities in Fermented Foods: Strategies, Mechanisms, and Challenges.

Directed Evolution of Microbial Communities (DEMC) offers a promising approach to enhance the functional attributes of microbial consortia in fermented foods by mimicking natural selection processes. This review details the application of DEMC in fermented foods, focusing on optimizing community traits to improve both fermentation efficiency and the sensory quality of the final products. We outline the core techniques used in DEMC, including the strategic construction of initial microbial communities, the systematic introduction of stress factors to induce desirable traits, and the use of artificial selection to cultivate superior communities. Additionally, we explore the integration of genomic tools and dynamic community analysis to understand and guide the evolutionary trajectories of these communities. While DEMC shows substantial potential for refining fermented food products, it faces challenges such as maintaining genetic diversity and functional stability of the communities. Looking ahead, the integration of advanced omics technologies and computational modeling is anticipated to significantly enhance the predictability and control of microbial community evolution in food fermentation processes. By systematically improving the selection and management of microbial traits, DEMC serves as a crucial tool for enhancing the quality and consistency of fermented foods, directly contributing to more robust and efficient food production systems.

Plant Adaptation and Soil Shear Strength: Unraveling the Drought Legacy in Amorpha fruticosa.

Climate change has led to an increasing frequency of droughts, potentially undermining soil stability. In such a changing environment, the shallow reinforcement effect of plant roots often fails to meet expectations. This study aims to explore whether this is associated with the alteration of plant traits as a response to environmental change. Focusing on Amorpha fruticosa, a species known for its robust root system that plays a crucial role in soil consolidation and slope stabilization, thereby reducing soil and water erosion, we simulated a drought-rewetting event to assess the legacy effects of drought on the soil shear strength and the mechanical and hydrological traits associated with the reinforcement provided by A. fruticosa. The results show that the legacy effect of drought significantly diminishes the soil shear strength. Pretreated with drought, plant roots undergo morphological alterations such as deeper growth, yet the underground root biomass and diameter decline, thereby influencing mechanical reinforcement. Chemical composition analysis indicates that the plant's adaptation to drought modifies the intrinsic properties of the roots, with varying impacts on different root types and overall reinforcement. Concurrently, the stomatal conductance and transpiration rate of leaves decrease, weakening the capacity to augment soil matric suction through transpiration and potentially reducing hydrological reinforcement. Although rewetting treatments aid in recovery, drought legacy effects persist and impact plant functional attributes. This study emphasizes that, beyond soil matric suction, plant adaptive mechanisms in response to environmental changes may also contribute significantly to reduced soil shear strength. Consequently, ecological restoration strategies should consider plant trait adaptations to drought, enhancing root systems for soil conservation and climate resilience.

Can international buyer-supplier relational attributes influence the intention to source from local suppliers? A case study of International Oil Companies in Tanzania

This study explores whether International Oil Companies (IOC) intending to source their non-consultancy services from local providers are affected by their respective strategic relationships with international service providers. International Oil Companies (IOC) exploring oil and gas in Tanzania were used as a case study to represent the group of buyers. This study adopted Industrial Marketing and Purchasing perspectives (IMP) on buyer-supplier relationships, where the structural and functional attributes of buyer-supplier relationships were examined. Structural Attributes include continuity, complexity, interdependence, and trust, while Process Attributes include adaptation, conflict, cooperation, socialisation, and formalisation. Buyers’ intention to source from local suppliers was measured by four dimensions: presence of sourcing policy from local suppliers, presence of activities for creating awareness among local suppliers about supply opportunities, presence of relaxed evaluation criteria, and payment scheme that favours local suppliers and establishes a central unit for coordinating all activities intended to facilitate sourcing from local suppliers. A survey design was used, whereby primary data were collected from 189 employees working at middle- and top-level positions in oil and gas companies. Data analysis involved examining descriptive statistics for respondents’ attributes and inferential statistical analysis, where relationships between the study variables were examined. The findings show that, given the new market constraints and without any forceful inducement, OICs will consider sourcing from local suppliers despite the ongoing strategic relationship with international suppliers. Therefore, host countries should focus on developing the competence of local suppliers to meet IOCs’ expectations.

Ultrasonic assisted enzymolysis based modification of native banana starch - A comprehensive analyses of the structural, morphological, rheological and textural properties.

Native banana starch (NS) has few limitations, such as poor solubility, low resistance to shear, temperature, and inconsistent retrogradation. This study investigates the effects of mono (α-amylase, pullulunase) and sequential enzymatic modifications of NS along with the application of ultrasound to enhance its functional attributes. Starch modified with α-amylase alone and along with ultrasound resulted the lowest amylose (20.23 %), resistant starch (28.22 %), higher rapidly digestible starch (48.92 %). Whereas pullulanase modification resulted in higher amylose (38.14 %), resistant starch (52.72 %) and therefore the better swelling power and water holding capacity. The retrogradation negatively associated with the solubility of these modified starches is outlined through the static viscosity measurements. Ultrasound enhanced the efficiency of enzymes by altering the structure of starch granules, confirmed through SEM analysis and provided differentiated thermal stability as observed through viscosity and enthalpy values from DSC. The dual sequential enzymatic treatment with ultrasound also significantly improved the starch solubility by altering the structure as evidenced through XRD and FTIR analysis. NMR 1H spectra revealed distinct variations in the anomeric peaks and hydroxyl regions of modified starches. Cluster analysis highlighted the unique characteristics of ultrasound-assisted starches.

Role of follicular homing natural killer cells in HIV infection.

Natural killer (NK) cells are integral components of the innate immune system, serving a vital function in eliminating virally infected cells. This review highlights the significance of CXCR5+ NK cells in the context of chronic HIV/SIV infection and viral control. Controlled HIV/SHIV infection results in a substantial increase in the population of CXCR5+ NK cells within the B-cell follicles of secondary lymphoid organs (SLOs). These CXCR5+ NK cells display enhanced functional characteristics, including elevated expression of activation markers and increased cytokine production, which are essential for effective viral control. These follicular NK cells are shown to be enriched in IL-15 signaling, and CXCR5 NK cells are negatively associated with viral burden during chronic HIV and SHIV infection. The distinct phenotypic and functional attributes of CXCR5+ NK cells, particularly in the lymphoid tissues of individuals living with HIV, emphasize their critical contribution to the anti-HIV-1 immune response. A comprehensive understanding of the mechanisms and roles of CXCR5+ NK cells may present novel therapeutic strategies aimed at enhancing NK-mediated viral control.

Vector substrate design for grain boundary engineering: boosting oxygen evolution reaction performance in LaNiO3.

The realization and subsequent control of emerging structural and electronic phases in solid materials has significantly enhanced their functionalities, thereby benefiting both fundamental research and practical applications. The grain boundary (GB), as a transitional region within the crystal lattice, exhibits atomic shifts and distinct energy profiles. These unique characteristics offer a promising avenue for the discovery of advanced active catalytic phases for carbon, oxygen, hydrogen, and nitrogen evolution/reduction reactions. However, the challenge lies in isolating and controlling the quantity of grain boundaries in conventional catalysts, which hinders the identification of their functional attributes. In this study, we successfully engineered the (001)/(110), (001)/(111), and (110)/(111) GBs in LaNiO3 (LNO) using a vector substrate design approach. Subsequent evaluation of these GBs in the oxygen evolution reaction (OER) revealed that LNO (110)/(111) exhibited the fastest surface reconstruction into Ni oxyhydroxide and the most superior OER performance, achieving 2.36 mA cm-2 at η = 400 mV. This outstanding performance is attributed to its strongest Ni-O covalency and the proximity of the O 2p-band center to the Fermi level. This research aims to address the challenges associated with isolating and controlling GBs for optimized OER performance, while also providing comprehensive insights into the relationship between GBs and surface reconstruction behaviors.

A modern scientific perspective on the flavor and functional properties of diverse teas in traditional cuisine "tea-flavored fish": From macroscopic quality to microscopic variations.

The historical appreciation of tea dates back to ancient times, while technological limitations have long hindered in-depth exploration of its flavor complexity and functional attributes. This study investigated the effects of various teas on a traditional delicacy, "tea-flavored fish", using teas processed via traditional methods. Analysis of functional components revealed that processing and fermentation reduced catechin levels (186.3mg/g to 58.8mg/g) while increasing theaflavins (16.6mg/g to 39.6mg/g), leading to decreased antioxidant and antimicrobial activities. Tea flavored fish was prepared following traditional techniques. The results indicated that the teas preserved their sensory qualities such as texture and color, inhibited metabolic activity and microbial growth, delayed lipid oxidation and protein degradation, and inhibited biogenic amine accumulation. Furthermore, minor compositional variations were observed in the final product. These findings offer novel insights into the application of modern scientific concepts to elucidate the principles underlying traditional craftsmanship.

Impact of pH on the Physicochemical, Structural, and Techno-Functional Properties of Sesame Protein Isolate.

Sesame protein isolate (SPI) is a highly nutritious plant protein distinguished by its essential amino acid profile. This study investigates the influence of pH on SPI's physicochemical, structural, and techno-functional properties, highlighting its potential as a sustainable protein source for various food applications. Our findings revealed that SPI had a protein content of 90.60% and a protein extraction yield of 77.2%. The density is measured at 0.72 g/mL, with a critical compressibility index of 19.22, indicating excellent flowability for weaning foods. Notably, the ζ-potential shifts from +39 mV at pH 3.0 to 0 at the isoelectric point (pI, 5-5.5) and becomes negative at higher pH levels. We observed a direct correlation between solubility, fluorescence intensity, and functional characteristics of SPI, with peak solubility and functional properties at acidic and alkaline pH levels and lowest values at the pI. Structural analyses confirmed the relationship between electrical charge, hydrophobicity, and functional attributes, with the highest surface hydrophobicity observed at pH 2.0. In conclusion, our findings underscore the critical role of pH in modulating the physicochemical properties of sesame protein isolate, enhancing its applicability in food formulations. SPI demonstrates significant potential as a versatile ingredient in the functional food product development.

Rapid automated production of tubular 3D intestine-on-a-chip with diverse cell types using coaxial bioprinting.

Despite considerable animal sacrifices and investments, drug development often falters in clinical trials due to species differences. To address this issue, specific in vitro models, such as organ-on-a-chip technology using human cells in microfluidic devices, are recognized as promising alternatives. Among the various organs, the human small intestine plays a pivotal role in drug development, particularly in the assessment of digestion and nutrient absorption. However, current intestine-on-a-chip devices struggle to accurately replicate the complex 3D tubular structures of the human small intestine, particularly when it comes to integrating a variety of cell types effectively. This limitation is primarily due to conventional fabrication methods, such as soft lithography and replica molding. In this research, we introduce a novel coaxial bioprinting method to construct 3D tubular structures that closely emulate the organization and functionality of the small intestine with multiple cell types. To ensure stable production of these small intestine-like tubular structures, we analyzed the rheological properties of bioinks to select the most suitable materials for coaxial bioprinting technology. Additionally, we conducted biological assessments to validate the gene expression patterns and functional attributes of the 3D intestine-on-a-chip. Our 3D intestine-on-a-chip, which faithfully replicates intestinal functions and organization, demonstrates clear superiority in both structure and biological function compared to the conventional 2D model. This innovative approach holds significant promise for a wide range of future applications.

Enhanced functionalities in flexible poly (vinylidene fluoride-trifluoroethylene)/cerium oxide doped sodium bismuth titanate [P(VDF-TrFE)/NBT-CeO2] ceramic polymer composite films: A comprehensive investigation of piezoelectric, pyroelectric, and ferroelectric properties

In the pursuit of innovative smart polymer piezoelectric ceramic composites, we present a thorough examination of the physical, structural, and polarization characteristics of a novel flexible polymer ceramic composite comprising sodium-bismuth titanate (NBT) doped with 0.6 mass % CeO2 as ceramic fillers embedded in a poly (vinylidene fluoride-trifluoroethylene) (P(VDF-TrFE)) polymer matrix. The incorporation of these fillers serves to increase both the mechanical strength and functional attributes of the resulting polymer-ceramic composites. Various volume percentages of ceramic fillers were employed, and the experimental effective dielectric permittivity results were systematically fitted to established theoretical models, including Maxwell, Clausius−Mossotti, Furukawa, and effective medium theory (EMT). Our findings reveal that the composite films exhibit exceptional piezo-, pyro-, and ferroelectric properties when compared to the pristine P(VDF-TrFE) copolymer. The optimum concentration of NBT-0.6 CeO2 filler was determined to be 0.2 vol fraction resulting in a remarkable enhancement of the key parameters. Specifically, the pyroelectric coefficient increased from 32 μC/m2K to 43 μC/m2K (a ∼35 % increment), remnant polarization surged from 80 mC/m2 to 166 mC/m2 (an impressive ∼110 % increment), and the piezoelectric constant (d33) elevated from −38 pC/N to 49 pC/N (a substantial ∼30 % increment). These findings signify the potential of these optimized samples for applications in high energy density capacitors and/or highly integrated and intelligent piezoelectric devices. This comprehensive investigation not only advances our understanding of the synergistic effects within polymer-ceramic composites but also underscores the potential of the proposed material system for practical applications, providing valuable insights for the development of advanced multifunctional materials.

Surface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review.

Advancements in single-cell analyzis technologies, particularly single-cell RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the analyzis of cellular diversity by providing resolutions that were not available previously. These methods enable the simultaneous analyzis of thousands of individual transcriptomes, facilitating the classification of cells into distinct subpopulations, based on transcriptomic differences, adding a new level of complexity to biomolecular and medical research. Fibroblasts, despite being one of the most abundant cell types in the human body and forming the structural backbone of tissues and organs, remained poorly characterized for a long time. This is largely due to the high morphological similarity between different types of fibroblasts and the lack of specific markers to identify distinct subpopulations. Once thought to be cells responsible solely for the synthesis of extracellular matrix (ECM) components, fibroblasts are now recognized as active participants in diverse physiological processes, including inflammation and antimicrobial responses. However, defining the molecular profile of fibroblast subpopulations remains a significant challenge. In this comprehensive review, which is based on over two thousand research articles, we focus on the identification and characterization of fibroblast subpopulations and their specific surface markers, with an emphasis on their potential as molecular targets for selective cell isolation. By analyzing surface markers, alongside intra- and extracellular protein profiles, we identified multiple fibroblast subtypes within the female reproductive system. These subtypes exhibit distinct molecular signatures and functional attributes, shaped by their anatomical localization and the surrounding physiological or pathological conditions. Our findings underscore the heterogeneity of fibroblasts and their diverse roles in various biological contexts. This improved understanding of fibroblast subpopulations paves the way for innovative diagnostic and therapeutic strategies, offering the potential for precision targeting of specific fibroblast subsets in clinical applications.

Functional group properties and quantification of mineral nutrients in traditional paddy cultivars

The functional properties and mineral nutrients of eleven rice cultivars were investigated. Among the cultivars, Mapillai samba, Arupadham kuruvai, and Karuppu kavuni recorded the presence of higher levels of carbohydrate (67.88mg/100g, 67.47mg/100g and 62.30mg/100g, respectively). Higher levels of fibre of 3.27mg/100g, 2.61 mg/100g and 2.36mg/100g were recorded in Kalabath, Poonkar and Sigappu kavuni, respectively. Higher level of protein content of 15.39mg/100g, 10.80mg/100g and 9.61mg/100g, were recorded in Illupaipoo samba, Thooyamalli and Poonkar, respectively. Interestingly, Kalabath recorded more nitrogen (2.52mg/100g), Mappillai samba recorded more iron (301.70ppm) and manganese (23.02ppm), Arupadahm kuruvai recorded more phosphorus (0.37%) and magnesium (0.98%), Sugappu kavuni recorded more copper (20.26ppm), Karunguruvai recorded more potassium (0.41%) and zinc (40.98ppm). The findings suggested that conventional rice varieties with enhanced functional attributes could support the agricultural community by improving the farming economy while also increasing the health advantages for consumers. Bangladesh J. Bot. 53(4): 931-937, 2024 (December)

Understanding the Factors Driving Indian Youth Engagement with Online grocery shopping motivations: An Empirical Study

In the digital marketing environment, the concepts of consumer shopping have undergone remarkable transformations. Online grocery buying is the newest trend among young people in India. The contemporary market-oriented lifestyle has changed as a result of the culture of internet purchasing. Online marketers now have an even greater task in trying to understand how the new generation of customers is changing their lifestyles. In order to ensure customer retention, this helps internet marketers provide higher customer value together with enhanced service. With the use of a suggested model, this study investigates the relationship between functional attributes, emotional bonds, and economic values in the development of brand engagement in the online retail marketplace. Three Indian cities, Bangalore, Visakhapatnam, and Hyderabad were the sites of a sample survey of young online shoppers. The present study's findings will clarify the possibility of developing an efficient online grocery retail platform for young Indian consumers, one that would improve consumer value and increase their inclination to purchase online.

Consumer preference study for the interface design of traditional Chinese medicine applications using conjoint analysis method

The widespread use of mobile applications (apps) offers a new platform for sustaining traditional culture, yet insufficient focus on interface design has hindered user experience. This paper focuses on traditional Chinese medicine (TCM) apps, examining user preferences for interface design elements and their combinations across four dimensions: visual effects, functional attributes, layout, and interaction modes. Utilizing Conjoint Analysis Method (CAM), this study quantitatively explores user preferences for the combination schemes of 18 orthogonal designs. The study collected 464 users’ data through questionnaires and processed the data using CAM and Multivariate Analysis of Variance (MANOVA). The findings indicate that users have a high demand for theme colors (35.09%), text styles (27.32%), and icon styles (14.78%) in medical consultation apps. For health education apps, users exhibit preferences for text styles (24.95%), theme colors (24.58%), and functional architecture (16.30%). In professional learning apps, the preferred elements are theme colors (24.07%), text styles (18.54%), and icon styles (18.03%). Based on these results, the paper proposes corresponding design strategies for each type of TCM app. This study reveals the characteristics of user preferences for different categories of TCM apps, enriching the theories and methods of interaction design for similar mobile applications. Ultimately, this facilitates the integration of traditional Chinese medicine culture with modern digital technology, promoting the digital and sustainable transmission of traditional culture.

Predicting lncRNA-protein interactions using a hybrid deep learning model with dinucleotide-codon fusion feature encoding

Long non-coding RNAs (lncRNAs) play crucial roles in numerous biological processes and are involved in complex human diseases through interactions with proteins. Accurate identification of lncRNA-protein interactions (LPI) can help elucidate the functional mechanisms of lncRNAs and provide scientific insights into the molecular mechanisms underlying related diseases. While many sequence-based methods have been developed to predict LPIs, efficiently extracting and effectively integrating potential feature information that reflects functional attributes from lncRNA and protein sequences remains a significant challenge. This paper proposes a Dinucleotide-Codon Fusion Feature encoding (DNCFF) and constructs an LPI prediction model based on deep learning, termed LPI-DNCFF. The Dual Nucleotide Visual Fusion Feature encoding (DNVFF) incorporates positional information of single nucleotides with subsequent nucleotide connections, while Codon Fusion Feature encoding (CFF) considers the specificity, molecular weight, and physicochemical properties of each amino acid. These encoding methods encapsulate rich and intuitive sequence information in limited encoding dimensions. The model comprehensively predicts LPIs by integrating global, local, and structural features, and inputs them into BiLSTM and attention layers to form a hybrid deep learning model. Experimental results demonstrate that LPI-DNCFF effectively predicts LPIs. The BiLSTM layer and attention mechanism can learn long-term dependencies and identify weighted key features, enhancing model performance. Compared to one-hot encoding, DNCFF more efficiently and thoroughly extracts potential sequence features. Compared to other existing methods, LPI-DNCFF achieved the best performance on the RPI1847 and ATH948 datasets, with MCC values of approximately 97.84% and 84.58%, respectively, outperforming the state-of-the-art method by about 1.44% and 3.48%.Graphical

Canid alphaherpesvirus 1 infection alters the gene expression and secretome profile of canine adipose-derived mesenchymal stem cells in vitro

BackgroundCanine adipose-derived mesenchymal stem cells (cAD-MSCs) demonstrate promising tissue repair and regeneration capabilities. However, the procurement and preservation of these cells or their secreted factors for therapeutic applications pose a risk of viral contamination, and the consequences for cAD-MSCs remain unexplored. Consequently, this research sought to assess the impact of canid alphaherpesvirus 1 (CHV) on the functional attributes of cAD-MSCs, including gene expression profiles and secretome composition.MethodsTo this end, abdominal adipose tissue from 12 healthy dogs was harvested to isolate cAD-MSCs. These samples were tested for CHV contamination before introducing a wild-type CHV strain via serial passages. Following CHV infection, real-time reverse transcription-polymerase chain reaction array and liquid chromatography with tandem mass spectrometry assessments enabled analyses of gene expression and secretome’s proteomic profile, respectively.ResultsThis study showed that the initial cAD-MSC populations were devoid of CHV. cAD-MSCs showed susceptibility to infection with wild-type CHV, leading to notable modifications in gene expression and secretome profile. The observed genomic variations in gene expression indicate potential impacts on the stemness, migration, and other functional properties of cAD-MSCs, highlighting the need for further studies to evaluate their functional capacity post-infection. Moreover, gene expression and secretome analyses suggest a shift in stem cell differentiation toward an adipogenic phenotype.ConclusionTo the best of our knowledge, this is the first study of the effects of virus infection on gene expression and secretome composition in cAD-MSCs. The outcomes of our study underscore the imperative of routine viral screening prior to the therapeutic use of cAD-MSCs. Moreover, these findings provide novel insights into the pathogenic mechanisms of CHV and pave the way for future canine stem cell and virus research.