Future In-depth Research Research Articles

Research on the Impact of the Digital Transformation of Commercial Banks

The development of the digital economy has presented both opportunities and challenges for the transformation of commercial banks. This article aims to conduct a literature review on the impact of digital transformation on commercial banks and to explore the multi-dimensional effects it brings. Through a review and analysis of relevant domestic and international literature, this paper first defines the connotation of digital transformation in commercial banks. It then conducts a literature analysis and research on the strategic governance, business performance, and risk management aspects of the digital transformation of commercial banks from multiple perspectives. Based on the analysis of the existing literature, the paper explores directions for future in-depth research and offers corresponding policy suggestions, providing a theoretical and practical foundation for the future digital development of commercial banks.

The Future of Long-Term-Care

Background: Aging populations worldwide are grappling with the challenge of long-term care for the disabled elderly, particularly in countries like China that are aging before they become affluent. The number of disabled elderly in China is sharply increasing, necessitating effective strategies to meet their care needs. Objectives: This study aims to conduct a comprehensive scientometric analysis of research trends, hotspots, and future directions in the field of long-term care for disabled elderly individuals in China using CiteSpace software. Methods: Employing CiteSpace 6.2.R1, this study analyzed 1,914 relevant publications from 1999 to 2024 in the Web of Science and CNKI databases. Keyword analysis, clustering, and visualization were performed using CiteSpace software to identify key themes and trends. Results: The analysis indicates an overall upward trend in publications since 1999, with a significant increase between 2013 and 2017. High-frequency keywords mainly include influencing factors, integration of medical and nursing care, and service quality. Research hotspots include family caregiving, health status, demand factors, and mental health. Conclusions: This study reveals the research trends, hotspots, and future directions in the field of long-term care for disabled elderly individuals in China. It shows a rapid increase in research quantity over time. High-frequency keyword analysis identified ongoing topics of interest such as influencing factors, integration of healthcare, and service quality. Keyword clustering analysis revealed that research hotspots are concentrated in areas such as family caregiving, health status, demand factors and mental health, with each field containing rich research content. Main Contribution to Evidence-Based Practice: This study uses CiteSpace visualization analysis software and bibliometric methods to organize and analyze existing literature, clarifying the research status, hotspots, and trends in the field. This information is intended to help scholars, practitioners, and policymakers better understand the progress in this area and provide a reference for future in-depth research.

Preliminary identification of somatic mutations profile in ACL injury

Anterior cruciate ligament (ACL) injury is a common orthopedic disease with a high incidence, long recovery time, and often requiring surgical treatment. However, the susceptibility factors for ACL injury are currently unclear, and there is a lack of analysis on the differences in the ligament itself. Previous studies have focused on germline mutations, with less research on somatic mutations. To determine the role of somatic mutations in ACL injuries, we recruited seven patients between the ages of 20 and 39 years diagnosed with ACL injuries, collected their peripheral blood, injured ligament ends, and healthy ligament ends tissues, and performed exome sequencing with gene function enrichment analysis. We detected multiple gene mutations and gene deletions, which were only present in some of the samples. Unfortunately, it was not possible to determine whether these somatic mutations are related to ligament structure or function, or are involved in ACL injury. However, this study provides valuable clues for future in-depth research.

Clarifying new molecular subtyping and precise treatment of melanoma based on disulfidptosis-related lncRNA signature

Disulfidptosis, the newest form of programmed cell death, is closely associated with the immune microenvironment of cancer cells. Long non-coding RNA (lncRNA) has also been found to play a crucial role in melanoma. However, the role of disulfidptosis-related lncRNA in melanoma remains unclear. Through bioinformatic analysis of the transcriptional, clinical, and pathological data from the TCGA-SKCM (The Cancer Genome Atlas—Skin cutaneous melanoma) database, we established a 2-Disulfidptosis-related lncRNA (DRL) prognostic model and a novel molecular subtype for melanoma. The survival and ROC curves of the 2-DRL prognostic model demonstrated its strong efficacy in predicting the prognosis of melanoma. The high-risk group of melanoma exhibited a significant decrease in ESTIMATEScore, ImmuneScore, and StromalScore, indicative of pronounced immune suppression and exhaustion. Subgroup C2 of melanoma displayed an immune-activated state, while subgroups C1 and C3 showed immune suppression and exhaustion, potentially leading to poorer prognosis. Subgroup C1 demonstrated better sensitivity to Zoledronate, UMI-77, Nilotinib, and Cytarabine. Subgroup C2 exhibited greater sensitivity to Ribociclib, XAV939, Topotecan, and Ruxolitinib. Subgroup C3 showed higher sensitivity to VX-11e, Ulixertinib, Trametinib, and Afatinib. This study revealed the immune microenvironment status and targeted drug sensitivity in melanoma patients with different risk scores and molecular subtypes, offering valuable guidance for clinical treatment and identifying significant DRL targets for future in-depth research.

An application of machine learning to classify food waste interventions from a food supply chain perspective

PurposeThe purpose of this paper is to demonstrate the efficacy of machine learning (ML) in managing natural language processing tasks, specifically by developing two ML models to systematically classify a substantial number of food waste interventions.Design/methodology/approachA literature review was undertaken to gather global food waste interventions. Subsequently, two ML models were designed and trained to classify these interventions into predefined supply chain-related groups and intervention types. To demonstrate the use of the models, a meta-analysis was performed to uncover patterns amongst the interventions.FindingsThe performance of the two classification models underscores the capabilities of ML in natural language processing, significantly enhancing the efficiency of text classification. This facilitated the rapid and effective classification of a large dataset consisting of 2,469 food waste interventions into six distinct types and assigning them to seven involved supply chain stakeholder groups. The meta-analysis reveals the most dominant intervention types and the strategies most widely adopted: 672 interventions are related to “Process and Operations Optimisation”, 457 to “Awareness and Behaviour Interventions” and 403 to “Technological and Engineering Solutions”. Prominent stakeholder groups, including “Processing and Manufacturing”, “Retail” “Government and Local Authorities” and “NGOs, Charitable Organisations and Research and Advocacy Groups”, are actively involved in over a thousand interventions each.Originality/valueThis study bridges a notable gap in food waste intervention research, a domain previously characterised by fragmentation and incomprehensive classification of the full range of interventions along the whole food supply chain. To the best of the authors’ knowledge, this is the first study to systematically classify a broad spectrum of food waste interventions while demonstrating ML capabilities. The study provides a clear, systematic framework for interventions to reduce food waste, offering valuable insight for practitioners in the food system, policymakers and consumers. Additionally, it lays the foundation for future in-depth research in the food waste reduction domain.

Overexpression of RpKTI2 from Robinia pseudoacacia Affects the Photosynthetic Physiology and Endogenous Hormones of Tobacco.

Kunitz trypsin inhibitor genes play important roles in stress resistance. In this study, we investigated RpKTI2 cloned from Robinia pseudoacacia and its effect on tobacco. RpKTI2 was introduced into the tobacco cultivar NC89 using Agrobacterium-mediated transformation. Six RpKTI2-overexpressing lines were obtained. Transgenic and wild-type tobacco plants were then compared for photosynthetic characteristics and endogenous hormone levels. Transgenic tobacco showed minor changes in chlorophyll content, fluorescence, and photosynthetic functions. However, the maximum photochemical efficiency (Fv/Fm) increased significantly while intercellular CO2 concentration (Ci) decreased significantly. Stomatal size and hormone content (indole-3-acetic acid, zeatin riboside, gibberellin, and indole-3-propionic acid) were reduced, while brassinosteroid content increased. Random forest regression revealed that RpKTI2 overexpression had the biggest impact on carotenoid content, initial fluorescence, Ci, stomatal area, and indole-3-acetic acid. Overall, RpKTI2 overexpression minimally affected chlorophyll synthesis and photosynthetic system characteristics but influenced stomatal development and likely enhanced the antioxidant capacity of tobacco. These findings provide a basis for future in-depth research on RpKTI2.

Advances in the interaction between lumbar intervertebral disc degeneration and fat infiltration of paraspinal muscles: critical summarization, classification, and perspectives.

More than 619 million people in the world suffer from low back pain (LBP). As two potential inducers of LBP, intervertebral disc degeneration (IVDD) and fat infiltration of paraspinal muscles (PSMs) have attracted extensive attention in recent years. So far, only one review has been presented to summarize their relationship and relevant mechanisms. Nevertheless, it has several noticeable drawbacks, such as incomplete categorization and discussion, lack of practical proposals, etc. Consequently, this paper aims to systematically summarize and classify the interaction between IVDD and fat infiltration of PSMs, thus providing a one-stop search handbook for future studies. As a result, four mechanisms of IVDD leading to fat infiltration of PSMs and three mechanisms of fat infiltration in PSMs causing IVDD are thoroughly analyzed and summarized. The typical reseaches are tabulated and evaluated from four aspects, i.e., methods, conclusions, benefits, and drawbacks. We find that IVDD and fat infiltration of PSMs is a vicious cycle that can promote the occurrence and development of each other, ultimately leading to LBP and disability. Finally, eight perspectives are proposed for future in-depth research.

Mechanisms involved in the regulation of mitochondrial quality control by PGAM5 in heart failure.

Heart failure (HF) refers to a group of clinical syndromes in which various heart diseases lead to the inability of cardiac output to meet the metabolic needs of the body's tissues. Cardiac metabolism requires enormous amounts of energy; thus, impaired myocardial energy metabolism is considered a key factor in the occurrence and development of HF. Mitochondria serve as the primary energy source for cardiomyocytes, and their regular functionality underpins healthy cardiac function. The mitochondrial quality control system is a crucial mechanism for regulating the functionality of cardiomyocytes, and any abnormality in this system can potentially impact the morphology and structure of mitochondria, as well as the energy metabolism of cardiomyocytes. Phosphoglycerate mutase 5 (PGAM5), a multifunctional protein, plays a key role in the regulation of mitochondrial quality control through multiple pathways. Therefore, abnormal PGAM5 function is closely related to mitochondrial damage. This article reviews the mechanism of PGAM5's involvement in the regulation of the mitochondrial quality control system in the occurrence and development of HF, thereby providing a theoretical basis for future in-depth research.

Research progress on the mechanism of acupuncture treatment for vascular dementia

Acupuncture can intervene with and treat vascular dementia (VD) through multiple targets and pathways. The mechanisms of its action involve inhibiting central inflammatory responses, regulating neuronal synaptic plasticity, modulating oxidative stress, reducing neuronal apoptosis, and adjusting cellular autophagy. This paper summarizes researches on the mechanisms of acupuncture treatment for VD over the past decade, aiming to provide theoretical support for the clinical application of acupuncture in treating VD and offer a reference for future in-depth research in this field.

Exploring the role of parthanatos in CNS injury: Molecular insights and therapeutic approaches.

Central nervous system (CNS) injury causes severe organ damage due to both damage resulting from the injury and subsequent cell death. However, there are currently no effective treatments for countering the irreversible loss of cell function. Parthanatos is a poly (ADP-ribose) polymerase 1 (PARP-1)-dependent form of programmed cell death that is partly responsible for neural cell death. Consequently, the mechanism by which parthanatos promotes CNS injury has attracted significant scientific interest. Our review aims to summarize the potential role of parthanatos in CNS injury and its molecular and pathophysiological mechanisms. Understanding the role of parthanatos and related molecules in CNS injury is crucial for developing effective treatment strategies and identifying important directions for future in-depth research. Parthanatos (from Thanatos, the personification of death according to Greek mythology) is a type of programmed cell death that is initiated by the overactivation of PARP-1. This process triggers a cascade of reactions, including the accumulation of poly(ADP-ribose) (PAR), the nuclear translocation of apoptosis-inducing factor (AIF) after its release from mitochondria, and subsequent massive DNA fragmentation caused by migration inhibitory factor (MIF) forming a complex with AIF. Secondary molecular mechanisms, such as excitotoxicity and oxidative stress-induced overactivation of PARP-1, significantly exacerbate neuronal damage following initial mechanical injury to the CNS. Furthermore, parthanatos is not only associated with neuronal damage but also interacts with various other types of cell death. This review focuses on the latest research concerning the parthanatos cell death pathway, particularly considering its regulatory mechanisms and functions in CNS damage. We highlight the associations between parthanatos and different cell types involved in CNS damage and discuss potential therapeutic agents targeting the parthanatos pathway.

DIRECT AND INDIRECT EFFECTS OF DARK TETRADE ON FLOURISHING AND PERCEIVED CONTROL

The aim of the present study was to outline the direct and indirect effects of the Dark Tetrade (narcissism, Machiavellianism, psychopathy and sadism) on flourishing, perceived personal control (mastery, self-control, experienced environmental constraints, environmental mastery), general satisfaction and empathy. The research was conducted in the specific context of global crises - after the constraints imposed by the COVID-19 pandemic and the ongoing global crisis. The design was cross-sectional with a convenient sample of 191 respondents. The results highlighted the specific relations of the dark traits with flourishing, perceived control, and satisfaction that replicate previous research. Flourishing was predicted by perceived environmental mastery, satisfaction with self and relationships, and low psychopathy. The relationship of psychopathy and flourishing was mediated by the perceived environmental constraints. The general satisfaction effect was mediated by narcissism. Future in-depth research of the specificity of dark trait combinations and profiling for diagnostic, prognostic, and preventive insights for improved self-regulation is discussed.

Comprehending Health of the Transgender Population in India Through Bibliometric Analysis.

Objective: In India research on health issues of transgender populations are very recent and limited though transgenders are an important sub-group of the population. Hence, this study attempts to understand the state of transgender health research in India through a systematic review of literature. Methods: A systematic literature review was conducted using bibliometric analysis. Initially, 132 studies were identified, and only 37 articles meeting selection criteria were subsequently selected for review using PRISMA 2020 guidelines. The research landscape was examined with tools such as Biblioshiny, Arc-GIS (10.1), and Vos-Viewer. Results: The review highlights that existing literature on transgender health in India mainly focuses on sexual health while neglecting their overall health status. It also emphasises the skewed geographical coverage of these studies. Based on the analysis, the interdisciplinary nature of the subject is illustrated in a three-field plot and through term co-occurrence. These indicate the need for culture-specific gender-affirmative services promoting a holistic approach to comprehend the health of transgender populations in India. Conclusion: In India research on transgender health is lopsided and at an initial stage. There is a need to develop diverse research focus on various health issues of transgenders that should also be geographically representative. Future in-depth research on this subject will enable optimizing resource allocation, developing effective gender-inclusive policies, and support holistic planning for better health status of transgender people in India, and other countries with similar socio-cultural background.

Parents' Strategy in Developing Adolescents' Attitudes in Using the Internet in Muara Megang Musi Rawas Village

Social media is a place to share information and communication for Indonesian people. Things that cannot be separated from life and almost every moment cannot be separated from smartphones. Smartphones have positive and negative impacts that are felt by the public. Apart from that, technology can also make work easier, but the negative impacts of technology are the rise of kidnapping, pornography, rape, drugs and prostitution transactions. This research aims to analyze parents' strategies for cultivating wise attitudes in using the internet in Muara Megang Musi Rawas village from research. This research uses a qualitative method with an approach based on facts in the field. We conducted this research, making the researcher the instrument who will later conduct interviews, observations and documentation as the basis for this research. that poor use of the internet has a very negative impact on the daily character of teenagers and that is why parents need to educate their children well in using the internet, including providing education about the bad impacts of bad actions and supervising their use of the internet in everyday life. . By providing education to teenagers about how to use the internet safely and responsibly. This includes explaining dangers such as cyberbullying, online fraud, and inappropriate content. Parents can also set limits on internet use, this includes time limits, the type of content that can be accessed, and the devices that can be used and provide examples for teenagers in using the internet where parents must show teenagers how to use the internet in a positive and positive way. productive. The author recommends that in the future more in-depth follow-up research be conducted regarding how to make the internet a media for motivating teenagers to develop their potential.

An Emerging Role for Enhancer RNAs in Brain Disorders.

Noncoding DNA undergoes widespread context-dependent transcription to produce noncoding RNAs. In recent decades, tremendous advances in genomics and transcriptomics have revealed important regulatory roles for noncoding DNA elements and the RNAs that they produce. Enhancers are one such element that are well-established drivers of gene expression changes in response to a variety of factors such as external stimuli, cellular responses, developmental cues, and disease states. They are known to act at long distances, interact with multiple target gene loci simultaneously, synergize with other enhancers, and associate with dynamic chromatin architectures to form a complex regulatory network. Recent advances in enhancer biology have revealed that upon activation, enhancers transcribe long noncoding RNAs, known as enhancer RNAs (eRNAs), that have been shown to play important roles in enhancer-mediated gene regulation and chromatin-modifying activities. In the brain, enhancer dysregulation and eRNA transcription has been reported in numerous disorders from acute injuries to chronic neurodegeneration. Because this is an emerging area, a comprehensive understanding of eRNA function has not yet been achieved in brain disorders; however, the findings to date have illuminated a role for eRNAs in activity-driven gene expression and phenotypic outcomes. In this review, we highlight the breadth of the current literature on eRNA biology in brain health and disease and discuss the challenges as well as focus areas and strategies for future in-depth research on eRNAs in brain health and disease.

Jellyfish-inspired sustainable and facile porous zwitterionic hydrogel sponge for efficient solar thermal desalination and water purification

Solar thermal desalination (STD), as a type of eco-friendly desalination and water purification technology is instrumental in mitigating the issue of water scarcity globally. Nevertheless, technology challenges persist for accomplishing a multi-purpose, high evaporation rate combine with low-cost and durability. In this research, we glean inspiration from marine jellyfish to propose a novel design for a solar evaporation device that is low-cost, easy to deployment and high efficiency. The evaporator incorporated carbon black for broad spectrum solar absorption, pristine cotton textile capillary action could maintain a sufficient water provision for continuous steam generating. Notably, the zwitterionic hydrogel exhibited excellent salt resistance and water activation properties, promoting water evaporation and enhancing the long-term stability of the evaporator effectively. Under one solar irradiance of 1 kW m−2, the evaporator raised an outstanding evaporation rate of 2.158 kg m-2h−1 and the energy efficiency was 88.71 %. Besides, it demonstrated broad applicability in purifying complex contaminated water sources and could obtain clean water from them. It was anticipated that this evaporator could be an effective solution for alleviating water source shortage especially for economically stressed regions. This research provided novel insights and potential applications for the expansion of STD technology in areas such as renewable energy utilization, off-grid desalination and waste water treatment. Furthermore, it offered guidance and inspiration for future in-depth research of the water-energy-climate nexus.

Secondary metabolite gene clusters from the phytopathogenic fungus Gaeumannomyces tritici

The take-all disease is one of the most important maladies in cereals and grasses, being caused by the fungus Gaeumannomyces tritici. Secondary metabolites are known to perform critical functions during the infection process of various phytopathogens. However, the current understanding of the biosynthesis of secondary metabolites in G. tritici is limited. Similarly, comprehensive analyses of the expression, conservation, and evolution of these biosynthesis-related genes are crucial for enhancing our knowledge of the molecular mechanisms that drive the development of the take-all disease. Here we have performed a deep survey and description of secondary metabolite biosynthetic gene clusters in G. tritici, analyzed a previously published RNA-seq of a mimicked infection condition, and assessed the conservation among 10 different Magnaporthales order members. Notably, the majority of the 35 putative gene clusters identified were conserved among these species, with GtPKS1, GtPKS3, and GtTERP4 uniquely identified in G. tritici. In the mimicked infection condition, seven gene clusters, including the GtPKS1 cluster, exhibited upregulated expression. Through comparative genomic analysis, GtPKS1 was associated with the production of dichlorodiaporthin, a metabolite with cytotoxic and antifungal activity. In addition, GtPKS10 and GtPKSNRPS3 showed similarities to already characterized biosynthetic pathways involved in the synthesis of ACR-toxin (phytotoxic) and trichosetin (phytotoxic and antibiotic), respectively. These three gene clusters were further scrutinized through phylogenetic inference, which revealed the distribution of orthologous sequences across various plant-associated fungi. Finally, the detailed identification of several genes enrolled in secondary metabolite biosynthesis provides the foundation for future in-depth research, supporting the potential impact of several small molecules on G. tritici lifecycle and host interactions.

Metagenomic evidence for antibiotic-associated actinomycetes in the Karamay Gobi region.

Due to the misuse of antibiotics, there is an increasing emergence and spread of multidrug-resistant (MDR) bacteria, leading to a human health crisis. To address clinical antibiotic resistance and prevent/control pathogenic microorganisms, the development of novel antibiotics is essential. This also offers a new approach to discovering valuable actinobacterial flora capable of producing natural bioactive products. In this study, we employed bioinformatics and macro-genome sequencing to collect 15 soil samples from three different locations in the Karamay Gobi region. First, we assessed the diversity of microorganisms in soil samples from different locations, analyzing the content of bacteria, archaea, actinomycetes, and fungi. The biodiversity of soil samples from outside the Gobi was found to be higher than that of soil samples from within and in the center of the Gobi. Second, through microbial interaction network analysis, we identified actinomycetes as the dominant group in the system. We have identified the top four antibiotic genes, such as Ecol_fabG_TRC, Efac_liaR_DAP, tetA (58), and macB, by CARD. These genes are associated with peptide antibiotics, disinfecting agents and antiseptics, tetracycline antibiotics, and macrolide antibiotics. In addition, we also obtained 40 other antibiotic-related genes through CARD alignment. Through in-depth analysis of desert soil samples, we identified several unstudied microbial species belonging to different families, including Erythrobacteriaceae, Solirubrobacterales, Thermoleophilaceae, Gaiellaceae, Nocardioidaceae, Actinomycetia, Egibacteraceae, and Acidimicrobiales. These species have the capability to produce peptide antibiotics, macrolide antibiotics, and tetracycline antibiotics, as well as disinfectants and preservatives. This study provides valuable theoretical support for future in-depth research.

Neuroimaging research progress of acupuncture treatment for patients with functional dyspepsia.

Neuroimaging technology provides objective and visualized research tool to study the mechanisms of acupuncture effects. Building on a systematic review of previous clinical studies on acupuncture treatment for functional dyspepsia using neuroimaging technology, this paper summarizes and synthesizes past researches from 4 aspects： acupoint-specific effects, factors influencing the effects, different physiological responses, and predictive factors for acupuncture efficacy. It suggests that acupuncture treatment for FD involves central integration with disease-targeted (acupuncture treatment can target and regulate abnormal brain functional activity patterns in patients with FD), meridian-specific (stimulation of specific acupuncture points along the stomach meridian can significantly regulate abnormal brain functional activity patterns in FD patients), and dynamic conditional features(the effects of acupuncture treatment for FD are influenced by multiple factors). Lastly, considering the current research status, this paper outlines prospects in terms of research subjects, influencing factors, and result validation, aiming to provide references for future in-depth research.

Integrative metabolome and transcriptome profiling provide insights into elucidation of the synthetic mechanisms of phenolic compounds in Yunnan hulled wheat (Triticum aestivum ssp. yunnanense King).

Yunnan hulled wheat grains (YHWs) have abundant phenolic compounds (PCs). However, a systematic elucidation of the phenolic characteristics and molecular basis in YHWs is currently lacking. The aim of the study, for the first time, was to conduct metabolomic and transcriptomic analyses of YHWs at different developmental stages. A total of five phenolic metabolite classes (phenolic acids, flavonoids, quinones, lignans and coumarins, and tannins) and 361 PCs were identified, with flavonoids and phenolic acids being the most abundant components. The relative abundance of the identified PCs showed a dynamic decreasing pattern with grain development, and the most significant differences in accumulation were between the enlargement and mature stage, which is consistent with the gene regulation patterns of the corresponding phenolic biosynthesis pathway. Through co-expression and co-network analysis, PAL, HCT, CCR, F3H, CHS, CHI and bZIP were identified and predicted as candidate key enzymes and transcription factors. The results broaden our understanding of PC accumulation in wheat whole grains, especially the differential transfer between immature and mature grains. The identified PCs and potential regulatory factors provide important information for future in-depth research on the biosynthesis of PCs and the improvement of wheat nutritional quality. © 2024 Society of Chemical Industry.

Treatment of diabetic foot with moxibustion: Clinical evidence from meta-analysis.

To assess the efficacy of moxibustion for diabetic foot, and compile the findings of randomised clinical trials. China National Knowledge Infrastructure Database, Medicine, WanFang Database, Embase, Chinese Scientific Journal Database and Web of Science were from the establishment to January, 2024 were searched. Randomised controlled trials, which evaluated the effects of moxibustion were included. A total of 12 randomised controlled trials involving 1196 patients were included. According to the pooled results of this meta-analysis, effective rate (relative risk 1.16, 95% confidence intervals, CI [1.11, 1.22]), healing time (mean difference [MD] -6.27, 95% CI [-8.68, -3.86]), wound area (MD 3.46, 95% CI [0.84, 6.09]), and ankle brachial index (MD 0.14, 95% CI [0.03, 0.24]) were statistically significant compared to the control group. This study suggests that moxibustion treatment has the potential for improving symptoms of diabetic foot. However, future in-depth research on the benefits and harms of moxibustion for the diabetic foot is needed before it can be accepted as an evidence-based treatment.