Complex Structure Research Articles

Topologic-thermal synergism analysis for wedge-shaped channels leveraging data mining and self-organization geometries

Heat transfer enhancement is particularly difficult to achieve within narrow space and turning channels due to strong structural constraints plus flow recirculations. Traditional designs usually follow periodic topology layout of simple geometric features, such as pin-fin arrays, to distribute cooling for narrow turning channels, lacking alignment with specific design objectives and the constraints. This is attributed to three main issues: the absence of control methods for complex structures, the lack of data for variable topologies, and insufficient understandings of Topologic-thermal Synergism. To address these challenges, the integration of self-organization geometry and the constrained Bayesian optimization method is employed. The channel is divided into 15 regions: the left region is subjected to solid presence control and anisotropy determination, while other regions are assigned control parameters, enabling self-organizing parameterization in design region. The parameters then are optimized using a constrained Bayesian optimization approach, aimed at maximizing the thermal performance factor (TPF) while constraining the area of low heat transfer regions. The optimization process begins with 216 samples to build the initial surrogate model, followed by 30 optimization iterations, resulting in the creation of high-performance complex structures and the establishment of a topology database. Furthermore, the SHAP method is utilized to extract topology design guidelines based on the most influential parameters and their beneficial variation directions. The guideline serves to guide the topology layout of other cooling structures in similar design scenarios. Results demonstrate that optimized self-organized structure enhanced the overall thermal parameter by 70% and decreased the low heat transfer zones by 74% when compared with pin fin structures. Data mining identified material orientation and generation on the left-side region as critical factors in topological structures, significantly influencing overall heat transfer performance. Leveraging the obtained design guidelines, a topological layout for a guiding pin fin structure is redesigned in wedge-shaped channels with varying contraction ratios, achieving performance improvements without the need for additional computational resources. The outcomes of this work hold scientific significance and industrial application value in enabling rapid design of high performance heat transfer structures.

A structural investigation on the interactions of cotton fabric cellulose with olive oil and water

The cotton fabric consists of cellulose arranged in a complex structure with multiple levels of organization at different length scales. Understanding this structure and its interactions with water and oil is essential for developing efficient and environmentally friendly methods of cotton washing. In this study, the structure of raw cotton fabric cellulose and the effects of water and oil were examined across a broad range of length scales using spatially resolved synchrotron small-angle X-ray scattering (SAXS) and auxiliary techniques.Water was observed to penetrate the cotton fabric and interact across nearly all length scales. Although a certain amount of the material was not affected by water as seen by intact distance between microfibrils, fractal analysis of the scattering data indicated a loosening of the microfibril arrangement after contact with water. This process was hindered if the material had been pre-treated with oil and was not seen after subsequent washing with water or surfactant solution. Analyzing spatially resolved SAXS data using a bi-sinusoidal model and 2D maps of the oil-to-cotton ratio facilitates understanding the structure of the material and its interactions with oil on the molecular, nano and macrolevels.

Bifunctional MA3Bi2I9 towards solar energy conversion and storage for all-solid-state photo-rechargeable battery

Recent endeavors have concentrated intensively on the integration and storage of solar energy within a singular apparatus. However, at present, these apparatuses are confronted with issues such as complicated fabrication processes, complex structures, and electrolyte leakage. In this study, an all-solid-state photo-rechargeable battery is presented, utilizing TiO2 as the photoanode, MA3Bi2I9 as the photoelectric conversion and energy storage active material layer, and Pt as the counter electrode. The assembled device can remain an open-circuit voltage of 0.35 V in the dark state. Devices connected in series can power a LED for up to 2 min. Furthermore, this photo-rechargeable battery demonstrates commendable stability over a storage period of 60 days under ambient conditions. Simultaneously, electrochemical analyses corroborate that the charge-discharge mechanism of the device is intimately associated with the redox processes of Bi ions. This study proposes novel approaches for the design of innovative energy devices that integrate photovoltaic charging and energy storage.

Investigation of the microstructural characteristics of laser-cladded Ti6Al4V titanium alloy and its corrosion behavior in simulated body fluid

Laser cladding technology has a wide range of potential industrial applications in the surface strengthening, repair and reuse of orthopedic implants. By employing this technique to conduct same-material surface restoration and enhancement on titanium alloys, it demonstrates significant developmental potential. However, the microstructure of laser additively manufactured titanium alloy differs significantly from that of traditional titanium alloys, which affects its corrosion resistance in human body fluids. To compare the corrosion resistance differences between the cladding layer and the substrate, this study investigates the microstructure of multi-pass laser cladding Ti6Al4V (TC4) titanium alloy and analyzes the corrosion morphology and corrosion products of the cladding layer in simulated body fluids (SBF). By comparing the electrochemical corrosion behavior of laser cladding with that of traditionally manufactured TC4, this research reveals the differences in corrosion resistance between the two titanium alloys. The research demonstrates that the microstructure of cladding primarily consists of prior-β grains and continuous grain boundary α phase, along with a complex basketweave structure composed of fine acicular α phase and lamellar α phase. Additionally, due to the complex thermal cycling process, the acicular α' colonies within the prior-β grains. These features enhance the cladding layer’s resistance to plastic deformation and increase microhardness, though with some uneven distribution. Interestingly, the TC4 cladding layer forms a porous passivation layer after corrosion, primarily composed of a TiO2 passivation film and deposits of hydroxyapatite and other phosphates. Due to the lower β-phase content, finer grains with higher energy states, and a greater proportion of high-angle grain boundaries (HAGBs) in the cladding layer, it exhibits higher electrochemical activity. As a result of these microstructural differences, the corrosion resistance of the TC4 cladding layer in SBF is inferior to that of TC4 manufactured using traditional techniques.

Revolutionizing Brain Drug Delivery: Buccal Transferosomes on the Verge of a Breakthrough.

The buccal cavity, also known as the oral cavity, is a complex anatomical structure that plays a crucial role in various physiological processes. It serves as a gateway to the digestive system and facilitates the initial stages of food digestion and absorption. However, its significance extends beyond mere digestion as it presents a promising route for drug delivery, particularly to the brain. Transferosomes are lipid-based vesicles that have gained significant attention in the field of drug delivery due to their unique structure and properties. These vesicles are composed of phospholipids that form bilayer structures capable of encapsulating both hydrophilic and lipophilic drugs. Strategies for the development of buccal transferosomes for brain delivery have emerged as promising avenues for pharmaceutical research. This review aims to explore the various approaches and challenges associated with harnessing the potential of buccal transferosomes as a means of enhancing drug delivery to the brain. By understanding the structure and function of both buccal tissue and transferosomes, researchers can develop effective formulation methods and characterization techniques to optimize drug delivery. Furthermore, strategic approaches and success stories in buccal transferosome development are highlighted, showcasing inspiring examples that demonstrate their potential to revolutionize brain delivery.

Green preparation and isolation of carrageenan oligosaccharides and assessment of their ability to inhibit melanogenesis

An efficient method was developed for generating carrageenan oligosaccharides, a high-value material with health benefits for humans. The study used microwave-assisted mild acid hydrolysis of κ-carrageenan to achieve complete liquefaction. Under optimal reaction conditions, the yield of κ-carrageenan disaccharide (KCO2) was 22.90% ± 0.80%, with a total sugar product recovery rate of approximately 90%, while retaining the sulfate groups. Different degrees of polymerization (DP) carrageenan oligosaccharides with 4-sulfate-D-galactose (D-G4S) as the non-reducing end were obtained, with purities of over 90% for both KCO2 and κ-carrageenan tetrasaccharide (KCO4). KCO2 was identified as the oligosaccharide with the highest tyrosinase inhibitory activity. Enzyme kinetics studies revealed that KCO2 exhibited typical reversible competitive inhibition, with an IC50 of 1.09 ± 0.04 mg/mL and a Ki value of 0.16 ± 0.01 mg/mL. Molecular docking showed that KCO2 primarily interacted with key His residues at the tyrosinase active site through its sulfate groups. Molecular dynamics (MD) simulations indicated that the KCO2-tyrosinase complex structure was stable. These findings show that the carrageenan oligosaccharides generated by this strategy could be used as tyrosinase inhibitors in the food, cosmetic, and nutraceutical fields.

Tribo-oxidation mechanism of gradient nanostructured Inconel 625 alloy during high-temperature wear

The tribo-oxidation layer is typically formed at the contact interface of high temperature wear, which exhibits a significant effect on the friction behavior of gradient nanostructured (GNS) materials. This study systematically investigated the wear resistance, near-surface microstructure, and compositional changes of ultra-thick GNS Inconel 625 alloy subjected to surface mechanical rolling treatment (SMRT) under high-temperature sliding wear conditions. The experimental results indicated that as the temperature increased to 500 °C, a tribo-oxidation layer was formed on the surface of the GNS sample, thereby resulting in an abnormal increase in the coefficient of friction (COF) and a rapid decrease in the wear rate. The gradient nanostructures facilitated oxidation diffusion channels, promoting the formation of a protective Cr2O3 film and spinel oxides, reducing the wear rate. At lower temperatures, a rapidly formed Cr2O3 film shielded the matrix, forming a tribo-oxidation layer composed of Cr2O3 and nickel. At 800 °C, the tribo-oxidation layer exhibited complex structures, including glaze, spinel oxide, Cr2O3, and Cr2O3/Ni mixed layers. This complexity was attributable to the oxidation diffusion rate of the gradient nanostructures and tribo-oxide layers. The findings not only elucidated the tribo-oxidation mechanism of GNS nickel-based superalloys but also offered valuable insights for designing wear-resistant materials.

Colloidal route towards sodium ionic conductor (NASICON) 3D complex solid electrolyte structures fabricated by Direct Ink Writing (DIW)

Progressing towards a sustainable energy model, safer new generation high-performance energy storage devices with large energy density and power are needed. In this sense, the improvement in terms of efficiency and sustainability has led to the interest in solid-state batteries (SSBs). Lately, sodium-ion batteries (SIBs) have become an emerging alternative due to the abundance of raw materials, low cost, and improvements in terms of fast sodium-ion conductor solid electrolytes (SCSEs). Among all the SCSEs, the sodium superionic conductor (NASICON) type electrolyte is one of the most well-known electrolytes, being widely developed in terms of synthesis and materials. However, the processing and manufacturing of these electrolytes have gone almost unnoticed, without considering that well-designed structures of electrodes/electrolytes are the bridge toward turning advanced energy materials into high-performance devices. This work presents the fabrication of 3D complex structures based on NASICON sodium solid electrolytes, obtained for the first time by direct ink writing (DIW). Through a colloidal route, fine NASICON phase powder with high pureness was prepared, enabling the manufacturing of intricate NASICON-printed electrolytes in a one-step fabrication process. By optimizing the ink, a dense electrolyte layer, acting as an ionic conductor and separator, was inserted between two complex porous pattern layers obtaining a device with a total height below 1.15 mm. Further, the densification of the 3D electrolyte was enhanced, reaching high ionic conductivities at room temperature (3.10-4 S·cm-1). Thus, a high-performance sodium ion conductor NASICON solid electrolyte with shorter diffusion pathways and larger interfacial surface areas between electrode/electrolyte was obtained, improving the overall electrochemical performance of the device by a 3D layer-by-layer design.

The mechanism of selective separation of stibnite and arsenopyrite by Cu2+ coordination assembly KBX collector

The similar physicochemical properties of stibnite and arsenopyrite resulted in the difficult separation by traditional collectors in flotation. Hence, this study utilized Cu2+ and potassium butyl xanthate (KBX) coordinate assembly to form a novel Cu-KBX complex collector, investigating its properties, conformation, and its role in flotation separation of stibnite and arsenopyrite, as well as its diverse adsorption behavior on mineral surfaces. The stable Cu-KBX complex solution was formed when the molar ratio of Cu2+ to KBX was 1:2, exhibiting a network-like structure at that time. The micro-flotation results showed that at pH 5, the grade of Sb in the concentrate was as high as 61.08 %, with As content at only 4.65 %, enabling effective separation of stibnite and arsenopyrite. Furthermore, the Cu-KBX complex exhibited a reticulated structure at the stibnite surface, while it adhered in a granular fashion on the arsenopyrite surface. FTIR analysis confirmed stronger chemisorption of Cu-KBX onto stibnite compared to arsenopyrite. XPS results indicated that Cu-S was the main collecting component. However, a weak Fe(II)-S substance was found on the arsenopyrite interface, likely due to Fe3+ oxidizing in the slurry with the Cu-KBX complex. Therefore, this disruption of the Cu-KBX complex structure by Fe3+ in arsenopyrite sharply reduced its adsorption on arsenopyrite, enhancing the selective separation of stibnite and arsenopyrite.

Enhanced support vector machine-based moving regression strategy for response prediction and reliability estimation of complex structure

For predicting response property and estimating reliability level of complex structure, enhanced support vector machine-based moving regression (MR-ESVM) strategy is proposed based on support vector machine (SVM), heuristic algorithm and moving least square (MLS) technique. Under this strategy, we develop four different SVM models including SVM-based moving regression (MR-SVM), SVM-based improved moving regression (IMR-SVM), improved SVM-based moving regression (MR-ISVM) and bi-optimized SVM-based moving regression (BiOMR-SVM) methods. In these developed MR-ESVM approaches, the MR-SVM method is explored by introducing the MLS technique into the SVM model; the IMR-SVM method is discussed by fusing the MR-SVM method and artificial rabbits optimization (ARO), and the ARO is used to search the optimal radius of compact region; the MR-ISVM method is raised by integrating the ARO into the MR-SVM, and the ARO is applied to find the optimal values in the SVM model; The BiOMR-SVM method is emerged by merging the IMR-SVM and MR-ISVM methods. To verify the effectiveness of these developed MR-ESVM strategies, a multivariate nonlinear function approximation is implemented to illustrate the advantages from the mathematics perspective, an aeroengine turbine blisk radial deformation reliability analysis and an aircraft hydraulic system low pressure reliability analysis are derived to demonstrate the applicability in engineering practice. The analytical results show that these four MR-ESVM approaches hold excellent merits in modeling features and simulation characteristics. The efforts of this work provide a novel idea for the response prediction of complex structure, and enrich the reliability estimation principle of surrogate models of complex structure.

Aging and periodontium: Slowing aging process by improving periodontal health

Introduction: Aging is characterized by a progressive decline or loss of physiological functions, leading to increased susceptibility to disease or death. The periodontium, a complex structure surrounding and supporting the teeth, is composed of the gingiva, periodontal ligament, cementum, and alveolar bone. Supportive and protective roles of the periodontium are very critical to sustain life, but the periodontium undergoes morphological and physiological changes with age. Purpose: The aim of this review is to summarize the current findings of delaye aging process by improving periodontal health. Conclusion: Daily oral hygiene maintenance with toothbrushing, flossing, mouthrinsing and appropriate use of anti-oxidants, such as vitamin C, as well as regular visit to dentist or periodontist is mandatory to maintain healthy periodontal tissue which support general health, also slowing down aging process

A novel Fourier domain scheme for three‐dimensional magnetotelluric modelling in anisotropic media

SUMMARYThis study presents a novel algorithm that combines the Lorenz gauge equations with the Fourier domain technique to simulate magnetotelluric responses in three‐dimensional conductivity structures with general anisotropy. The method initially converts the Helmholtz equations governing vector potentials into one‐dimensional differential equations in the wave number domain via the horizontal two‐dimensional Fourier transform. Subsequently, a one‐dimensional finite element method employing quadratic interpolation is applied to obtain three five‐diagonal linear equation systems. Upon solving these equations, the spatial domain fields are obtained via the inverse Fourier transform. This process guarantees the computational efficiency, memory efficiency and high parallelization of the algorithm. Moreover, an anisotropic medium iteration operator guarantees stable convergence of the method. The correctness, competence and applicability of the algorithm are verified using some synthetic models. The results demonstrate that the new method is efficient and performs well in anisotropic undulating terrain and complex structures. Compared to other Fourier domain methods and the latest edge‐based finite element algorithm, the proposed method exhibits superior computing performance. Finally, the impact of the Euler angles on the magnetotelluric responses is analysed.

Sea food by-products valorization for biomedical applications: evaluation of their wound regeneration capabilities in an Ex vivo skin model

IntroductionThe skin is often exposed to harmful stimuli that might compromise its integrity and functionality. After an injury, the skin has a limited capability to restore its complex structure, and in the case of severe skin damage, surgical operations and rapid application of wound dressings are often required to promote optimal wound healing. Nowadays, collagen-based biomaterials are widely used in combination with bioactive molecules able to prevent excessive inflammation and possible infections. In line with a circular economy and blue biotechnology approach, it was recently demonstrated that both collagen and bioactive molecules (i.e., antioxidant compounds) can be sustainably obtained from sea food by-products and effectively used for biomaterial development. Herein, we describe and compare the application of two marine collagen-based wound dressings (CBWDs), produced with materials obtained from sea urchin food waste, for the treatment of skin lesions in a wound healing organ culture (WHOC) model.MethodsThe ex vivo WHOC model was set up starting from rat skin explants and the induced lesions were assigned into three different groups: control (CTRL) group, not treated, marine collagen wound dressing (MCWD) group, and antioxidants-enriched marine collagen wound dressing (A-MCWD) group. After 5 and 10 days, specimens were examined for organ maintenance and assessed for the healing process.ResultsImmunohistochemical results showed that both CBWDs were similarly successful in prolonging skin repair, preserving the epidermal barrier up to 5 days under static culture conditions. Histological and gene expression analysis highlighted that the A-MCWD might support and accelerate skin wound healing by exerting antioxidant activity and counteracting inflammation.DiscussionOverall, these findings underline the potential of sea urchin food waste as a novel resource for the development of functional medical devices for the treatment of skin wounds.

Revealing the correlation between asymmetric structure and low thermal conductivity in Janus-graphene via machine learning force constant potential

Understanding the fundamental link between structure and functionalization is crucial for designing and optimizing functional materials, since different structural configurations could trigger materials to demonstrate diverse physical and chemical properties. However, the correlation between crystal structure and thermal conductivity (κ) remains unclear. In this study, taking two-dimensional (2D) carbon allotropes Janus-graphene and graphene as study cases, we utilize phonon Boltzmann transport equation combined with machine learning potential to thoroughly investigate the complex folding structure of pure sp2 hybridized Janus-graphene from the perspective of crystal structure, phonon modal resolved thermal transport, and atomic interactions, with the goal of identifying the underlying relationship between 2D geometry and κ. The results reveal that the folded structure in Janus-graphene causes strong symmetry breaking, significantly reduces phonon group velocities, increases phonon–phonon scattering, and ultimately leads to low κ. These findings enhance our understanding of how atomic structure folding affects thermal transport and the relationship between structure and functionalization.

Assessment of Vidian canal morphology in axial section and its associated structures using cone beam computed tomography: A descriptive study

The Vidian Nerve (VN), a branch of the trigeminal nerve, passes by the Vidian Canal (VC), located at the base of the skull. The VC branches into the greater petrosal nerve and the VN in the pterygopalatine fossa, where the greater petrosal nerve carries parasympathetic fibers to the lacrimal glands and nasal mucosa, and the VN carries sensory fibers from the nasopharynx, nasal cavity, and palate. In this study, 60 subjects of both sexes who underwent cone beam computed tomography (CBCT) were selected by a convenient sampling technique. The data were subjected to statistical analysis following the examination of the various parameters in the axial sections. Among the various morphological characteristics appraised in the axial section, there was no significant sexual dimorphism, except for the angle between the VC and the medial wall of the maxillary sinus, which shows statistical significance. The present study aims to investigate morphometric analysis and its associated structures, offering insightful information about the complex structure of the Vidian canal (VC), which provides adequate knowledge for surgeons to plan with more caution complex skull base procedures, and eventually to lower the therapeutical risks associated with it.

All-in-one, flexible, diversified self-powered sensors through embedded 3D printing

Abstract Triboelectric nanogenerators (TENGs) are characterized by zero power consumption and are often employed as self-powered sensors. However, the complex manufacturing process and expensive equipment limit the further promotion and application of self-powered sensors, which have become urgent challenges in this field. Here, a simple strategy using embedded 3D printing is proposed to enable the fabrication of diverse self-powered sensors in one-step, reducing production costs while increasing design flexibility. Specifically, the designed sensors composed of the silicone as the triboelectric layer and silicone/multi-walled carbon nanotubes as flexible electrodes with excellent all-in-one structures. Meanwhile, diversified self-powered sensors with different complex structures (e.g., planar array sensors and helical icosahedron sensors) were developed to meet the diverse needs of different applications, verifying the capability of the proposed embedded 3D printing method to design and customize sensors with various shapes and structures. In addition, the applications of these functionalized self-powered sensors in cryptographic simulation, pressure position detection, and impact force recognition have been successfully demonstrated. Therefore, this self-powered sensor based on embedded 3D printing has a promising future in human-computer interaction, collision detection and other fields.

Phytocenotic diversity of different types of mires in northern part of the Middle-Russian Upland

On Middle-Russian Upland, despite its low paludification, mires are formed on different elements of the relief, differ in their water-mineral regime and vegetation structure. Horizontal structure of the vegetation cover of mire ecosystems, as well as their cenotic diversity, remain poorly studied. However, these features are important for the typology of mires and can also be used in the organization of monitoring of mire ecosystems. The main purpose of this study is to identify the features of the horizontal structure of vegetation and to visualize the phytocenotic diversity of different types of mires using the cartographic method. The objects were 14 model mires located on different relief elements in the northern part of the Middle-Russian Upland. The conducted studies have revealed the cenotic diversity of the most common and specific types of mires in the northern part of the Middle-Russian Upland. Geobotanical maps were compiled for each mire. The maps of the model mires show 31 mapped units at the rank of association (29), formation (1) and unranked community (1). The identified syntaxons belong to woody, woody-moss, shrubby, hydrophilic-grass and hydrophilic-moss types of mire vegetation, which accounts for 63% of the cenotic diversity of the mires of the Middle-Russian Upland. The vegetation structure is often heterogeneous and heterotrophic, combining both eutrophic and meso- and oligotrophic communities, less often it is homogeneous. The watershed mires in karst-suffusion depressions are characterized by the largest number of distinguished taxa of vegetation and a complex horizontal structure of vegetation. The vegetation of mires formed in suffusion depressions on terraces and slopes of watersheds overlain by sandstone and moraine deposits is less diverse. Among these mires, pine-sphagnum ones are unique to the region because they are located at the southern limit of their distribution. Such mires are characterized by a homogeneous oligotrophic or heterogeneous homotrophic oligotrophic vegetation structure. The floodplain and ravine mires are represented only by an eutrophic group of types. Often the vegetation structure of such mires is homogeneous eutrophic, heterogeneity is ensured by changing the moisture regime or is a result of anthropogenic impact.

An Implicit Fillet‐Weld Element Formulation for Mesh‐Insensitive Fatigue Evaluation of Complex Structures

ABSTRACTIn fatigue evaluation of welded structures, explicit weld representations in finite element (FE) models are needed for reliably capturing stress or strain concentration behaviors at critical weld locations, for example, weld toe or weld root, in using widely accepted traction structural stress or extrapolation hot‐spot stress methods. The laborious efforts needed for generating weld geometry have been a major challenge for fatigue evaluation of complex structures containing many welds. In this paper, we present a user‐defined fillet‐weld element formulation and its numerical implementation for computing traction mesh‐insensitive structural stresses. The fillet‐weld element is formulated by connecting several linear four‐nodes Mindlin shell elements around weld region as a user‐defined element. The resulting elements can be directly used with major commercial FE codes through an available user subroutine interface. A number of well‐documented fillet‐welded components are then used for validating the accuracy and robustness of the developed fillet‐weld elements.

Container Management System in Batumi Port

Currently, the maritime economy of Georgia is developing quite rapidly. The special geopolitical position of our country in the Eurasian region, in the neighborhood of countries on the path of market reforms, forces the Georgian government to restore the infrastructure of the national economy to effectively use our territorial traditional advantages: mineral resources, free agricultural areas, a large coast, to create convenient port complexes. All this contributes to the development of modern marine transport, cargo, passenger, as well as mixed cargo-passenger complexes. Sea transport is used to transport goods between the country's ports, as well as to develop and ensure Georgia's foreign economic relations with foreign countries. As of 2015, maritime transport accounted for more than 86% of the country's export-import traffic. In 2021, sea vessels entered the ports of Georgia 370 times from 65 foreign countries, which provided more than 86% of the country's needs in foreign trade transportation. In recent years, major technical retooling of seaports has been carried out, tonnage has significantly increased, and the capacity of ships has increased. The capacity of the ships' power plants has increased, automation of several production processes on ships has been introduced, and new transport technologies have been introduced, which ensure safer and more trouble-free navigation of the fleet. The modern port system is a complex hierarchical structure that combines ship companies and fleets, navigation and information support systems, computer systems, and computer-related means of land transportation of goods. Keywords: Container management system, Batumi port, container platform, computer system.

The advance of single cell transcriptome to study kidney immune cells in diabetic kidney disease.

Diabetic kidney disease (DKD) is a prevalent microvascular complication of diabetes mellitus and a primary cause of end-stage renal disease (ESRD). Increasing studies suggest that immune cells are involved in regulating renal inflammation, which contributes to the progression of DKD. Compared with conventional methods, single-cell sequencing technology is more developed technique that has advantages in resolving cellular heterogeneity, parallel multi-omics studies, and discovering new cell types. ScRNA-seq helps researchers to analyze specifically gene expressions, signaling pathways, intercellular communication as well as their regulations in various immune cells of kidney biopsy and urine samples. It is still challenging to investigate the function of each cell type in the pathophysiology of kidney due to its complex and heterogeneous structure and function. Here, we discuss the application of single-cell transcriptomics in the field of DKD and highlight several recent studies that explore the important role of immune cells including macrophage, T cells, B cells etc. in DKD through scRNA-seq analyses. Through combing the researches of scRNA-seq on immune cells in DKD, this review provides novel perspectives on the pathogenesis and immune therapeutic strategy for DKD.