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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Indonesia insole ODM design and production
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.Arch support insole OEM from 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.Thailand ergonomic pillow OEM supplier
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.High-performance insole OEM Thailand
📩 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.China insole ODM service provider
Recent research has uncovered that Roseobacters undergo a transition from a symbiotic relationship to a pathogenic one, where they become deadly to their phytoplankton hosts. A new study now investigates what is responsible for that switch occurring. A new study sheds light on the chemical processes that trigger marine bacteria to transition from coexisting with an algal host to a sudden killer. Scientists have detailed a change in the lifestyle of marine bacteria, in which they switch from coexisting with algal hosts in a symbiotic relationship to suddenly killing them. The study was recently published in the journal eLife. An understanding of this lifestyle switch could offer new perspectives on the regulation of algal bloom dynamics and its effect on the large-scale biogeochemical processes in marine environments. Single-celled algae, known as phytoplankton, form oceanic blooms which are responsible for around half of the photosynthesis that occurs on Earth, and form the basis of marine food webs. Therefore, understanding the factors controlling phytoplankton growth and death is crucial to maintaining a healthy marine ecosystem. Marine bacteria from the Roseobacter group are known to pair up and coexist with phytoplankton in a mutually beneficial interaction. The phytoplankton provides the Roseobacter with organic matter useful for bacterial growth, such as sugar and amino acids, and the Roseobacter in return provides B vitamins and growth-promoting factors. The Role of DMSP in Triggering Pathogenicity However, recent studies have revealed that Roseobacters undergo a lifestyle switch from coexistence to pathogenicity, where they kill their phytoplankton hosts. A chemical compound called DMSP is produced by the algae and is hypothesized to play a role in this switch. “We have previously identified that the Roseobacter Sulfitobacter D7 displays a lifestyle switch when interacting with the phytoplankter Emiliania huxleyi,” states first author Noa Barak-Gavish, a Ph.D. graduate in the Department of Plant and Environmental Sciences, Weizmann Institute of Science, Israel. “However, our knowledge about the factors that determine this switch was still limited.” To characterize this lifestyle switch, Barak-Gavish and colleagues performed a transcriptomics experiment, allowing them to compare the genes that are differentially expressed by Sulfitobacter D7 in coexistence or pathogenicity stages. Eat-and-Run Strategy Their experimental setup demonstrated that Sulfitobacter D7 grown in a pathogenicity-inducing medium have a higher expression of transporters for metabolites such as amino acids and carbohydrates than those grown in a coexistence medium. These transporters serve to maximize the uptake of metabolites released from dying Emiliania huxleyi (E. huxleyi) . Furthermore, in pathogenic Sulfitobacter D7, the team observed an increased activation of flagellar genes that are responsible for the movement of the bacteria. These two factors allow Sulfitobacter D7 to utilise an ‘eat-and-run’ strategy, where they beat competitors to the material released upon E. huxleyi cell death and swim away in search of another suitable host. The team confirmed the role of DMSP in bringing about the switch to this killer behavior by mapping the genes activated in Sulfitobacter D7 in response to the presence of DMSP and other algae-derived compounds. However, when only DMSP was present, the lifestyle switch did not occur. This implies that, although DMSP mediates the lifestyle switch, it is also dependent on the presence of other E. huxleyi-derived infochemicals – compounds that are produced and used by organisms to communicate. DMSP is an infochemical produced by many phytoplankton, so it is likely that the other required infochemicals allow the bacteria to recognize a specific phytoplankton host. In natural environments, where many different microbial species exist together, this specificity would ensure that bacteria only invest in altering gene expression and its metabolism when the correct algal partner is present. The study also uncovers the role of algae-derived benzoate in Sulfitobacter D7 and E. huxleyi interactions. Even in high concentrations of DMSP, benzoate functions to maintain the coexistence lifestyle. Benzoate is an efficient growth factor and is provided by E. huxleyi to Sulfitobacter D7 during coexistence. The authors propose that as long as Sulfitobacter D7 benefits from coexistence by receiving materials for growth, it will maintain the mutualistic interaction. When less benzoate and other growth substrates are provided, the bacteria undergoes the lifestyle switch and kills its phytoplankton host, swallowing up any remaining useful materials. Uncovering Pathogenic Mechanisms The exact mechanism of Sulfitobacter D7 pathogenicity against E. huxleyi remains to be discovered, and the authors call for further work in this area. The cellular machinery Type 2 secretion system – a complex that many bacteria use to move materials across their cell membrane – is more prevalent in Sulfitobacter D7 compared to other Roseobacters, hinting at a unique method of pathogenicity that requires further investigation. “Our work provides a contextual framework for the switch from coexistence to pathogenicity in Roseobacter-phytoplankton interactions,” concludes senior author Assaf Vardi, a Professor in the Department of Plant and Environmental Sciences, Weizmann Institute of Science. “These interactions are an underappreciated component in the regulation of algal bloom dynamics and further study in this area could provide insights into their impact on the fate of carbon and sulfur in the marine environment.” Reference: “Bacterial lifestyle switch in response to algal metabolites” by Noa Barak-Gavish, Bareket Dassa, Constanze Kuhlisch, Inbal Nussbaum, Alexander Brandis, Gili Rosenberg, Roi Avraham and Assaf Vardi, 24 January 2023, eLife. DOI: 10.7554/eLife.84400
Researchers use machine learning to identify critical genes that enhance crop growth with reduced fertilizer. Additionally, it can predict traits in plants and disease outcomes in animals, showcasing its broader applications beyond agriculture. Machine learning can pinpoint “genes of importance” that help crops to grow with less fertilizer, according to a new study published in Nature Communications. It can also predict additional traits in plants and disease outcomes in animals, illustrating its applications beyond agriculture. Using genomic data to predict outcomes in agriculture and medicine is both a promise and challenge for systems biology. Researchers have been working to determine how to best use the vast amount of genomic data available to predict how organisms respond to changes in nutrition, toxins, and pathogen exposure—which in turn would inform crop improvement, disease prognosis, epidemiology, and public health. However, accurately predicting such complex outcomes in agriculture and medicine from genome-scale information remains a significant challenge. In the Nature Communications study, NYU researchers and collaborators in the U.S. and Taiwan tackled this challenge using machine learning, a type of artificial intelligence used to detect patterns in data. Corn (maize) growing in the NYU Rose Sohn Zegar Greenhouse on the roof of the NYU Center for Genomics & Systems Biology. Credit: NYU Coruzzi Lab “We show that focusing on genes whose expression patterns are evolutionarily conserved across species enhances our ability to learn and predict ‘genes of importance’ to growth performance for staple crops, as well as disease outcomes in animals,” explained Gloria Coruzzi, Carroll & Milton Petrie Professor in NYU’s Department of Biology and Center for Genomics and Systems Biology and the paper’s senior author. “Our approach exploits the natural variation of genome-wide expression and related phenotypes within or across species,” added Chia-Yi Cheng of NYU’s Center for Genomics and Systems Biology and National Taiwan University, the lead author of this study. “We show that paring down our genomic input to genes whose expression patterns are conserved within and across species is a biologically principled way to reduce dimensionality of the genomic data, which significantly improves the ability of our machine learning models to identify which genes are important to a trait.” As a proof-of-concept, the researchers demonstrated that genes whose responsiveness to nitrogen are evolutionarily conserved between two diverse plant species—Arabidopsis, a small flowering plant widely used as a model organism in plant biology, and varieties of corn, America’s largest crop—significantly improved the ability of machine learning models to predict genes of importance for how efficiently plants use nitrogen. Nitrogen is a crucial nutrient for plants and the main component of fertilizer; crops that use nitrogen more efficiently grow better and require less fertilizer, which has economic and environmental benefits. Corn (maize) growing in the NYU Rose Sohn Zegar Greenhouse on the roof of the NYU Center for Genomics & Systems Biology. Credit: NYU Coruzzi Lab The researchers conducted experiments that validated eight master transcription factors as genes of importance to nitrogen use efficiency. They showed that altered gene expression in Arabidopsis or corn could increase plant growth in low nitrogen soils, which they tested both in the lab at NYU and in cornfields at the University of Illinois. “Now that we can more accurately predict which corn hybrids are better at using nitrogen fertilizer in the field, we can rapidly improve this trait. Increasing nitrogen use efficiency in corn and other crops offers three key benefits by lowering farmer costs, reducing environmental pollution, and mitigating greenhouse gas emissions from agriculture,” said study author Stephen Moose, Alexander Professor of Crop Sciences at the University of Illinois at Urbana-Champaign. Moreover, the researchers proved that this evolutionarily informed machine learning approach can be applied to other traits and species by predicting additional traits in plants, including biomass and yield in both Arabidopsis and corn. They also showed that this approach can predict genes of importance to drought resistance in another staple crop, rice, as well as disease outcomes in animals through studying mouse models. “Because we showed that our evolutionarily informed pipeline can also be applied in animals, this underlines its potential to uncover genes of importance for any physiological or clinical traits of interest across biology, agriculture, or medicine,” said Coruzzi. “Many key traits of agronomic or clinical importance are genetically complex and hence it’s difficult to pin down their control and inheritance. Our success proves that big data and systems level thinking can make these notoriously difficult challenges tractable,” said study author Ying Li, faculty in the Department of Horticulture and Landscape Architecture at Purdue University. Reference: “Evolutionarily informed machine learning enhances the power of predictive gene-to-phenotype relationships” by Chia-Yi Cheng, Ying Li, Kranthi Varala, Jessica Bubert, Ji Huang, Grace J. Kim, Justin Halim, Jennifer Arp, Hung-Jui S. Shih, Grace Levinson, Seo Hyun Park, Ha Young Cho, Stephen P. Moose and Gloria M. Coruzzi, 24 September 2021, Nature Communications. DOI: 10.1038/s41467-021-25893-w Additional researchers involved in this study include Kranthi Varala, also a faculty member in the Department of Horticulture and Landscape Architecture at Purdue, as well as members of research teams of the principal investigators at NYU, the University of Illinois, and Purdue. The research was supported by the National Science Foundation’s Plant Genome Research Program (IOS-1339362), the U.S. Department of Agriculture National Institute of Food and Agriculture Hatch project (1013620), the USDA-NIFA predoctoral fellowship (2016-67011025167), and an NSF CompGen fellowship.
The enteric nervous system (ENS), often called the second brain, plays a crucial role in digestion, immunity, and communication with the brain. Researchers have discovered that ENS development continues after birth and includes neurons derived from mesoderm, challenging long-held scientific beliefs and opening avenues for potential new treatments for aging and gastrointestinal diseases. Discoveries May Pave the Way for Improved Therapies for Gastrointestinal Issues Following your gut. Losing your appetite. A gutsy move. Though we often consider the gut as merely a digestive tool, these common expressions reflect the central role the gut plays in a much wider range of essential functions. The entire digestive tract is lined by the enteric nervous system (ENS), a vast network of millions of neurons and glial cells—the two primary cell types also found in the central nervous system. While often called the second brain, the ENS not only generates the same neurotransmitters but actually predates the evolution of the central nervous system in the brain. The functions of the ENS are crucial to life and extend far beyond digestion, as it regulates immunity, gut secretions, and enables complex, bi-directional communication between the gut and the brain. This is why a happy gut co-exists with a happy brain, and why digestive issues can lead to changes in mood and behavior. Since the mid-20th century, scientists have believed that the ENS is derived from the neural crest before birth and remains unchanged after. Now, in a paper published in the journal eLife, researchers at Beth Israel Deaconess Medical Center (BIDMC) present a completely new paradigm describing a developmental pathway by which ENS development continues after birth in mice and human tissue samples. This discovery overturns decades of scientific dogma on the fundamental biology of neuroscience and of ENS, by showing evidence for the first time of a non-ectodermal and a mesodermal origin for large numbers of enteric neurons born after birth. The findings show the relevance of these neurons to the maturation and aging of the ENS in health and disease. The Aging Process and ENS Neuron Evolution “These results indicate for the first time that the mesoderm is an important source of neurons in the second largest nervous system of the body,” said Subhash Kulkarni, Ph.D., a staff scientist at BIDMC and an assistant professor in the Division of Medical Sciences at Harvard Medical School. “How we mature and how we age is central to our understanding of health and disease in our rapidly aging population. The increasing proportion of neurons of mesodermal lineage is a natural consequence of maturation and aging; further, this lineage can be expected to have distinct vulnerabilities to disease.” Using transgenic mice models, high-resolution microscopy, and genetic analyses, Kulkarni and colleagues analyzed the ENS neuronal populations in adult mice and human tissues. Using mice models, the team found that while the early post-natal ENS cells were from the expected neural crest lineage, that pattern changed rapidly as the animal matured. Kulkarni and colleagues documented the arrival and continual expansion of a novel population of enteric neurons that were derived from the mesoderm—the same lineage that gives rise to the muscle and heart cells. This newly discovered population of mesoderm-derived neurons expanded with age, such that they comprised a third of all enteric neurons in adolescent mice, half of all enteric neurons in adult mice, and then eventually outnumbered the original neural crest-derived population of enteric neurons in aging mice. By assessing the molecular signature of these neurons, the team identified new cellular markers that were used to identify this population of mesoderm-derived neurons in human gut tissue. These markers also provided pharmacological targets, which the researchers used to not only manipulate the proportions of the mesodermal neurons in adolescent mice but also reduce their dominant proportions in the aging mouse gut to cure age-associated slowing of gut movement. A Paradigm Shift in Neuroscience and Clinical Medicine “We can now work to understand how these findings can be translated into human systems to provide a disease-modifying cure to aging patients whose chief complaint often includes diseases of the GI tract,” added Kulkarni. “By reversing one of the biggest dogmas of neuroscience, we are now in uncharted territory and, at the same time, have a huge opportunity to understand this hidden basic, translational, and clinical biology of neurons. The newly discovered lineage of neurons presents us with potential new drug targets that could help large populations of patients.” Reference: “Age-associated changes in lineage composition of the enteric nervous system regulate gut health and disease” by Subhash Kulkarni, Monalee Saha, Jared Slosberg, Alpana Singh, Sushma Nagaraj, Laren Becker, Chengxiu Zhang, Alicia Bukowski, Zhuolun Wang, Guosheng Liu, Jenna Leser, Mithra Kumar, Shriya Bakhshi, Matthew Anderson, Mark Lewandoski, Elizabeth Vincent, Loyal A. Goff and Pankaj Jay Pasricha, 7 August 2023, eLife. DOI: 10.7554/eLife.88051.1 Co-authors included Monalee Saha, Jared Slosberg, Alpana Singh, Sushma Nagaraj, Chengxiu Zhang, Alicia Bukowski, Zhuolun Wang, Guosheng Liu, Jenna Leser, Mithra Kumar, Shriya Bakhshi, Elizabeth Vincent, and Loyal A. Goff of Johns Hopkins University School of Medicine; Laren Becker and of Stanford University School of Medicine; Matthew Anderson and Mark Lewandoski of Center for Cancer Research, National Cancer Institute; and Pankaj Jay Pasricha of the Mayo Clinic. The microscopy was performed on the Ross Imaging Core at the Hopkins Conte Digestive Disease Center at the Johns Hopkins University (P30DK089502) using the Olympus FV 3000rs (procured with the NIH-NIDDK S10 OD025244 grant). The 10X Genomics Chromium processing for scRNAseq was performed at the GRCF Core and the sequencing was performed at the CIDR core at the Johns Hopkins University. This work was supported through a grant from the Ludwig Foundation, a grant from the NIA (R01AG066768), a pilot award from the Hopkins Digestive Diseases Basic & Translational Research Core Center grant (P30DK089502), a pilot award from the Diacomp initiative through Augusta University; a Johns Hopkins Catalyst Award; the Maryland Genetics, Epidemiology, and Medicine training program sponsored by the Burroughs Welcome Fund; the Hopkins Conte Digestive Disease Center at the Johns Hopkins University (P30DK089502); NIDDK (R01DK080920); the Maryland Stem Cell Research Foundation (MSCRF130005), and a grant from the AMOS family.
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