Introduction – Company Background

GuangXin Industrial Co., Ltd. is a specialized manufacturer dedicated to the development and production of high-quality insoles.

With a strong foundation in material science and footwear ergonomics, we serve as a trusted partner for global brands seeking reliable insole solutions that combine comfort, functionality, and design.

With years of experience in insole production and OEM/ODM services, GuangXin has successfully supported a wide range of clients across various industries—including sportswear, health & wellness, orthopedic care, and daily footwear.

From initial prototyping to mass production, we provide comprehensive support tailored to each client’s market and application needs.

At GuangXin, we are committed to quality, innovation, and sustainable development. Every insole we produce reflects our dedication to precision craftsmanship, forward-thinking design, and ESG-driven practices.

By integrating eco-friendly materials, clean production processes, and responsible sourcing, we help our partners meet both market demand and environmental goals.

Core Strengths in Insole Manufacturing

At GuangXin Industrial, our core strength lies in our deep expertise and versatility in insole and pillow manufacturing. We specialize in working with a wide range of materials, including PU (polyurethane), natural latex, and advanced graphene composites, to develop insoles and pillows that meet diverse performance, comfort, and health-support needs.

Whether it's cushioning, support, breathability, or antibacterial function, we tailor material selection to the exact requirements of each project-whether for foot wellness or ergonomic sleep products.

We provide end-to-end manufacturing capabilities under one roof—covering every stage from material sourcing and foaming, to precision molding, lamination, cutting, sewing, and strict quality control. This full-process control not only ensures product consistency and durability, but also allows for faster lead times and better customization flexibility.

With our flexible production capacity, we accommodate both small batch custom orders and high-volume mass production with equal efficiency. Whether you're a startup launching your first insole or pillow line, or a global brand scaling up to meet market demand, GuangXin is equipped to deliver reliable OEM/ODM solutions that grow with your business.

Customization & OEM/ODM Flexibility

GuangXin offers exceptional flexibility in customization and OEM/ODM services, empowering our partners to create insole products that truly align with their brand identity and target market. We develop insoles tailored to specific foot shapes, end-user needs, and regional market preferences, ensuring optimal fit and functionality.

Our team supports comprehensive branding solutions, including logo printing, custom packaging, and product integration support for marketing campaigns. Whether you're launching a new product line or upgrading an existing one, we help your vision come to life with attention to detail and consistent brand presentation.

With fast prototyping services and efficient lead times, GuangXin helps reduce your time-to-market and respond quickly to evolving trends or seasonal demands. From concept to final production, we offer agile support that keeps you ahead of the competition.

Quality Assurance & Certifications

Quality is at the heart of everything we do. GuangXin implements a rigorous quality control system at every stage of production—ensuring that each insole meets the highest standards of consistency, comfort, and durability.

We provide a variety of in-house and third-party testing options, including antibacterial performance, odor control, durability testing, and eco-safety verification, to meet the specific needs of our clients and markets.

Our products are fully compliant with international safety and environmental standards, such as REACH, RoHS, and other applicable export regulations. This ensures seamless entry into global markets while supporting your ESG and product safety commitments.

ESG-Oriented Sustainable Production

At GuangXin Industrial, we are committed to integrating ESG (Environmental, Social, and Governance) values into every step of our manufacturing process. We actively pursue eco-conscious practices by utilizing eco-friendly materials and adopting low-carbon production methods to reduce environmental impact.

To support circular economy goals, we offer recycled and upcycled material options, including innovative applications such as recycled glass and repurposed LCD panel glass. These materials are processed using advanced techniques to retain performance while reducing waste—contributing to a more sustainable supply chain.

We also work closely with our partners to support their ESG compliance and sustainability reporting needs, providing documentation, traceability, and material data upon request. Whether you're aiming to meet corporate sustainability targets or align with global green regulations, GuangXin is your trusted manufacturing ally in building a better, greener future.

Let’s Build Your Next Insole Success Together

Looking for a reliable insole manufacturing partner that understands customization, quality, and flexibility? GuangXin Industrial Co., Ltd. specializes in high-performance insole production, offering tailored solutions for brands across the globe. Whether you're launching a new insole collection or expanding your existing product line, we provide OEM/ODM services built around your unique design and performance goals.

From small-batch custom orders to full-scale mass production, our flexible insole manufacturing capabilities adapt to your business needs. With expertise in PU, latex, and graphene insole materials, we turn ideas into functional, comfortable, and market-ready insoles that deliver value.

Contact us today to discuss your next insole project. Let GuangXin help you create custom insoles that stand out, perform better, and reflect your brand’s commitment to comfort, quality, and sustainability.

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Breathable insole ODM development Indonesia

Are you looking for a trusted and experienced manufacturing partner that can bring your comfort-focused product ideas to life? GuangXin Industrial Co., Ltd. is your ideal OEM/ODM supplier, specializing in insole production, pillow manufacturing, and advanced graphene product design.

With decades of experience in insole OEM/ODM, we provide full-service manufacturing—from PU and latex to cutting-edge graphene-infused insoles—customized to meet your performance, support, and breathability requirements. Our production process is vertically integrated, covering everything from material sourcing and foaming to molding, cutting, and strict quality control.High-performance insole OEM Taiwan

Beyond insoles, GuangXin also offers pillow OEM/ODM services with a focus on ergonomic comfort and functional innovation. Whether you need memory foam, latex, or smart material integration for neck and sleep support, we deliver tailor-made solutions that reflect your brand’s values.

We are especially proud to lead the way in ESG-driven insole development. Through the use of recycled materials—such as repurposed LCD glass—and low-carbon production processes, we help our partners meet sustainability goals without compromising product quality. Our ESG insole solutions are designed not only for comfort but also for compliance with global environmental standards.Memory foam pillow OEM factory China

At GuangXin, we don’t just manufacture products—we create long-term value for your brand. Whether you're developing your first product line or scaling up globally, our flexible production capabilities and collaborative approach will help you go further, faster.One-stop OEM/ODM manufacturing factory and solution provider

📩 Contact us today to learn how our insole OEM, pillow ODM, and graphene product design services can elevate your product offering—while aligning with the sustainability expectations of modern consumers.Flexible manufacturing OEM & ODM factory Taiwan

Side-view of a Saccorhytus. Credit: Philip Donoghue et al. The “Curious” Creature With No Anus Was Demonstrated To Not Be Related to Humans An international study team has found that a mysterious microscopic creature assumed to be the ancestor of humans actually belongs to a different family tree. The Saccorhytus is a spikey, wrinkly sack with a huge mouth surrounded by spines and holes that were interpreted as pores for gills – a primitive feature of the deuterostome group, from which our own deep ancestors emerged. But a thorough examination of fossils from China that date back 500 million years has shown that the holes surrounding the mouth are actually the bases of spines that split during the process of fossil preservation, finally revealing the evolutionary affinity of the microfossil Saccorhytus. The researchers believe that Saccorhytus is actually an ecdysozoan. Credit: Philip Donoghue et al. “Some of the fossils are so perfectly preserved that they look almost alive,” says Yunhuan Liu, professor in Palaeobiology at Chang’an University, Xi’an, China. “Saccorhytus was a curious beast, with a mouth but no anus, and rings of complex spines around its mouth.” The findings, recently published in the journal Nature, make important amendments to the early phylogenetic tree and the understanding of how life developed. High-Tech 3D Imaging Reveals Saccorhytus’ Anatomy The true story of Saccorhytus’ ancestry lies in the microscopic internal and external features of this tiny fossil. By taking hundreds of X-ray images at slightly different angles, with the help of powerful computers, a detailed 3D digital model of the fossil could be reconstructed. Researcher Emily Carlisle from the University of Bristol’s School of Earth Sciences explained: “Fossils can be quite difficult to interpret and Saccorhytus is no exception. We had to use a synchrotron, a type of particle accelerator, as the basis for our analysis of the fossils. The synchrotron provides very intense X-rays that can be used to take detailed images of the fossils. We took hundreds of X-ray images at slightly different angles and used a supercomputer to create a 3D digital model of the fossils, which reveals the tiny features of its internal and external structures.” The digital models showed that pores around the mouth were closed by another body layer extending through, creating spines around the mouth. “We believe these would have helped Saccorhytus capture and process its prey,” suggests Huaqiao Zhang from the Nanjing Institute of Geology and Palaeontology. Saccorhytus Reclassified as an Ecdysozoan The researchers believe that Saccorhytus is in fact an ecdysozoan: a group that contains arthropods and nematodes. “We considered lots of alternative groups that Saccorhytus might be related to, including the corals, anemones, and jellyfish which also have a mouth but no anus,” said Professor Philip Donoghue of the University of Bristol’s School of Earth Sciences, who co-led the study. “To resolve the problem our computational analysis compared the anatomy of Saccorhytus with all other living groups of animals, concluding a relationship with the arthropods and their kin, the group to which insects, crabs, and roundworms belong.” Saccorhytus’ lack of anus is an intriguing feature of this microscopic, ancient organism. Although the question that springs to mind is the alternative route of digestive waste (out of the mouth, rather undesirably), this feature is important for a fundamental reason in evolutionary biology. How the anus arose – and sometimes subsequently disappeared – contributes to the understanding of how animal body plans evolved. Moving Saccorhytus from deuterosome to ecdysozoan means striking a disappearing anus off the deuterosome case history, and adding it to the ecdysozoan one. “This is a really unexpected result because the arthropod group has a through-gut, extending from mouth to anus. Saccorhytus’s membership of the group indicates that it has regressed in evolutionary terms, dispensing with the anus its ancestors would have inherited,” says Shuhai Xiao from Virginia Tech, USA, who co-led the study. “We still don’t know the precise position of Saccorhytus within the tree of life but it may reflect the ancestral condition from which all members of this diverse group evolved.” Reference: “Saccorhytus is an early ecdysozoan and not the earliest deuterostome” by Yunhuan Liu, Emily Carlisle, Huaqiao Zhang, Ben Yang, Michael Steiner, Tiequan Shao, Baichuan Duan, Federica Marone, Shuhai Xiao and Philip C. J. Donoghue, 17 August 2022, Nature. DOI: 10.1038/s41586-022-05107-z

A new study suggests that a set of brain signals known to help memories form may also influence blood sugar levels. Brain Signals That Help Memories Form May Influence Blood Sugar A set of brain signals known to help memories form may also influence blood sugar levels, finds a new study in rats. Researchers at NYU Grossman School of Medicine discovered that a peculiar signaling pattern in the brain region called the hippocampus, linked by past studies to memory formation, also influences metabolism, the process by which dietary nutrients are converted into blood sugar (glucose) and supplied to cells as an energy source. The study revolves around brain cells called neurons that “fire” (generate electrical pulses) to pass on messages. Researchers in recent years discovered that populations of hippocampal neurons fire within milliseconds of each other in cycles, with the firing pattern is called a “sharp wave ripple” for the shape it takes when captured graphically by EEG, a technology that records brain activity with electrodes. Published online in Nature on August 11, a new study found that clusters of hippocampal sharp wave ripples were reliably followed within minutes by decreases in blood sugar levels in the bodies of rats. While the details need to be confirmed, the findings suggest that the ripples may regulate the timing of the release of hormones, possibly including insulin, by the pancreas and liver, as well of other hormones by the pituitary gland. “Our study is the first to show how clusters of brain cell firing in the hippocampus may directly regulate metabolism,” says senior study author György Buzsáki, MD, PhD, the Biggs Professor in the Department of Neuroscience and Physiology at NYU Langone Health “We are not saying that the hippocampus is the only player in this process, but that the brain may have a say in it through sharp wave ripples,” says Buzsáki, also a faculty member in the Neuroscience Institute at NYU Langone. Known to keep blood sugar at normal levels, insulin is released by pancreatic cells, not continually, but periodically in bursts. As sharp wave ripples mostly occur during non-rapid eye movement (NREM) sleep, the impact of sleep disturbance on sharp wave ripples may provide a mechanistic link between poor sleep and high blood sugar levels seen in type 2 diabetes, say the study authors. Previous work by Buzsaki’s team had suggested that the sharp wave ripples are involved in permanently storing each day’s memories the same night during NREM sleep, and his 2019 study found that rats learned faster to navigate a maze when ripples were experimentally prolonged. “Evidence suggests that the brain evolved, for reasons of efficiency, to use the same signals to achieve two very different functions in terms of memory and hormonal regulation,” says corresponding study author David Tingley, PhD, a post-doctoral scholar in Buzsaki’s lab. Dual Role The hippocampus is a good candidate brain region for multiple roles, say the researchers, because of its wiring to other brain regions, and because hippocampal neurons have many surface proteins (receptors) sensitive to hormone levels, so they can adjust their activity as part of feedback loops. The new findings suggest that hippocampal ripples reduce blood glucose levels as part of such a loop. “Animals could have first developed a system to control hormone release in rhythmic cycles, but then applied the same mechanism to memory when they later developed a more complex brain,” adds Tingley. The study data also suggest that hippocampal sharp wave ripple signals are conveyed to hypothalamus, which is known to innervate and influence the pancreas and liver, but through an intermediate brain structure called the lateral septum. Researchers found that ripples may influence the lateral septum just by amplitude (the degree to which hippocampal neurons fire at once), not by the order in which the ripples are combined, which may encode memories as their signals reach the cortex. In line with this theory, short duration ripples that occurred in clusters of more than 30 per minute, as seen during NREM sleep, induced a decrease in peripheral glucose levels several times larger than isolated ripples. Importantly, silencing the lateral septum eliminated the impact of hippocampal sharp wave ripples on peripheral glucose. To confirm that hippocampal firing patterns caused the glucose level decrease, the team used a technology called optogenetics to artificially induce ripples by re-engineering hippocampal cells to include light-sensitive channels. Shining light on such cells through glass fibers induces ripples independent of the rat’s behavior or brain state (e.g. resting or waking). Similar to their natural counterparts, the synthetic ripples reduced sugar levels. Moving forward, the research team will seek to extend its theory that several hormones could be affected by nightly sharp wave ripples, including through work in human patients. Future research may also reveal devices or therapies that can adjust ripples to lower blood sugar and improve memory, says Buzsaki.   Reference: “A metabolic function of the hippocampal sharp wave-ripple” by David Tingley, Kathryn McClain, Ekin Kaya, Jordan Carpenter and György Buzsáki, 11 August 2021, Nature. DOI: 10.1038/s41586-021-03811-w Along with Tingley and Buzsaki, study authors were Ekin Kaya, Kathryn McClain, and Jordan Carpenter at NYU Langone Health. The work was funded by National Institutes of Health grants MH122391, U19 NS104590, and U19NS107616.

Researchers from several universities, including the University of Virginia, have developed a system that uses transport-based morphometry to identify genetic markers of autism in brain images with high accuracy. This breakthrough could lead to earlier and more precise diagnoses and treatments of autism by highlighting genetic variations linked to the condition. Credit: SciTechDaily.com Researchers have developed a technique that accurately identifies genetic markers of autism in brain images, which could revolutionize early diagnosis and treatment. A team of researchers co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy. Their research, published in the journal Science Advances, indicates that doctors could use this method to see, classify, and treat autism and related neurological conditions without relying on or waiting for behavioral cues, potentially leading to earlier interventions. “Autism is traditionally diagnosed behaviorally but has a strong genetic basis. A genetics-first approach could transform understanding and treatment of autism,” the researchers explained. UVA professor Gustavo Rohde’s technique uses mathematical equations to extract mass transport information from medical images, creating new images for visualization and further analysis. (Rohde Lab, University of Virginia School of Engineering and Applied Science). Credit: Rohde Lab, University of Virginia School of Engineering and Applied Science Collaborative Research and Technique Development Rohde, a professor of biomedical and electrical and computer engineering, collaborated with researchers from the University of California San Francisco and the Johns Hopkins University School of Medicine, including Shinjini Kundu, Rohde’s former Ph.D. student and first author of the paper. While working in Rohde’s lab, Kundu — now a physician at the Johns Hopkins Hospital — helped develop a generative computer modeling technique called transport-based morphometry, or TBM, which is at the heart of the team’s approach. Using a novel mathematical modeling technique, their system reveals brain structure patterns that predict variations in certain regions of the individual’s genetic code — a phenomenon called “copy number variations,” in which segments of the code are deleted or duplicated. These variations are linked to autism. Understanding Autism’s Genetic and Morphological Links TBM allows the researchers to distinguish normal biological variations in brain structure from those associated with the deletions or duplications. “Some copy number variations are known to be associated with autism, but their link to brain morphology — in other words, how different types of brain tissues such as gray or white matter, are arranged in our brain — is not well known,” Rohde said. “Finding out how CNV relates to brain tissue morphology is an important first step in understanding autism’s biological basis.” Gustavo K. Rohde, UVA professor of biomedical and electrical and computer engineering (Tom Cogill, University of Virginia School of Engineering and Applied Science). Credit: Tom Cogill, University of Virginia School of Engineering and Applied Science Advancements in Morphometric Analysis Transport-based morphometry differs from other machine learning image analysis models because the mathematical models are based on mass transport — the movement of molecules such as proteins, nutrients, and gases in and out of cells and tissues. “Morphometry” refers to measuring and quantifying the biological forms created by these processes. Most machine learning methods, Rohde said, have little or no relation to the biophysical processes that generated the data. Instead, they rely on recognizing patterns to identify anomalies. However, Rohde’s approach uses mathematical equations to extract the mass transport information from medical images, creating new images for visualization and further analysis. Then, using a different set of mathematical methods, the system parses information associated with autism-linked CNV variations from other “normal” genetic variations that do not lead to disease or neurological disorders — what the researchers call “confounding sources of variability.” Implications for Future Autism Research and Treatment These sources previously prevented researchers from understanding the “gene-brain-behavior” relationship, effectively limiting care providers to behavior-based diagnoses and treatments. According to Forbes magazine, 90% of medical data is in the form of imaging, which we don’t have the means to unlock. Rohde believes TBM is the skeleton key. “As such, major discoveries from such vast amounts of data may lie ahead if we utilize more appropriate mathematical models to extract such information.” The researchers used data from participants in the Simons Variation in Individuals Project, a group of subjects with the autism-linked genetic variation. Control-set subjects were recruited from other clinical settings and matched for age, sex, handedness, and non-verbal IQ while excluding those with related neurological disorders or family histories. “We hope that the findings, the ability to identify localized changes in brain morphology linked to copy number variations, could point to brain regions and eventually mechanisms that can be leveraged for therapies,” Rohde said. Reference: “Discovering the gene-brain-behavior link in autism via generative machine learning” by Shinjini Kundu, Haris Sair, Elliott H. Sherr, Pratik Mukherjee and Gustavo K. Rohde, 12 June 2024, Science Advances. DOI: 10.1126/sciadv.adl5307 The research received funding from the National Science Foundation, the National Institutes of Health, the Radiological Society of North America, and the Simons Variation in Individuals Foundation.

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