BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.

BACKGROUND:Studies have shown that lipid metabolism and related diseases can affect the development of osteoporosis.OBJECTIVE:Using bibliometric visualization analysis software to analyze and summarize the frontier content and research hotspots in the field of lipid metabolism affecting osteoporosis.METHODS:Using the Web of Science core collection database as the retrieval platform,relevant literature regarding the effect of lipid metabolism on osteoporosis from 2004 to 2024 was retrieved.VOSviewer and CiteSpace were used for bibliometric and visual analyses.RESULTS AND CONCLUSION:A total of 1 277 articles were included,and the number of articles on the effect of lipid metabolism on osteoporosis at home and abroad was increasing year by year.The number of articles published in China was 417,ranking first,and the United States was 243,ranking second.Shanghai Jiao Tong University ranked first with 30 articles.Professor Rosen Clifford J from Tufts University School of Medicine and Professor Recker Robert R from Clayton University were the most cited authors.The number of documents published in BONE in the Netherlands ranked first,and the JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM in England was the most cited journal.Bone mineral density,bone metabolism,menopause,and obesity were the core keywords,and they were also research hotspots in this field.The above results show that in the past 20 years,research in the field of lipid metabolism affecting osteoporosis has focused on the role of abnormal lipid metabolism in bone mineral density and bone metabolism,thereby regulating osteoporosis and post-menopause osteoporosis.Clarifying the pathway of this mechanism and"bone-lipid balance"is the future research idea and direction.

Radiotherapy is a crucial treatment modality for head and neck tumors. However, while effectively killing tumor cells, it significantly disrupts the homeostasis of the oral microecology, which is closely associated with various complications such as radiation-induced oral mucositis. Literature review indicates that as radiotherapy doses accumulate and treatment durations extend, the richness and diversity of the oral microbiota show a declining trend, with the genus Streptococcus decreasing most markedly. In contrast, radiotherapy selectively promotes the proliferation of bacterial phyla such as Proteobacteria and Bacteroidetes, which are rich in opportunistic pathogens. Mechanistically, radiotherapy activates the nuclear factor-kappa B pathway, triggering chronic inflammation and oxidative stress, damaging the epithelial barrier, suppressing local immunity, and causing damage to organs such as the salivary glands. It can also induce systemic diseases via the oral-gut axis, forming a multi-level, interconnected pathogenic network. In terms of interventions, treatment strategies including probiotics and prebiotics have shown promising efficacy against side effects such as radiation-induced oral mucositis. Saliva-based oral microbiota transplantation is an emerging strategy that is expected to become widely utilized for restoring oral microecological balance. Existing interventions provide preliminary pathways for clinical practice, but this field still faces several key scientific questions. The association between oral microecology and systemic diseases remains largely correlative, lacking causal evidence. Furthermore, critical parameters for oral microbiota transplantation, such as donor screening criteria, transplantation protocols, and long-term safety, are not yet well-defined. Therefore, future research should focus on conducting large-scale clinical trials to establish standardized protocols and safety evaluation systems for oral microecological interventions, and explore combined treatment therapies such as probiotics, prebiotics, and microbiota transplantation to advance the development of personalized precision modulation. These will enable more effective management of radiotherapy-induced oral microecological dysbiosis and improve treatment outcomes and quality of life for patients with head and neck tumors.

ObjectiveTo explore the possible mechanism of Yigan Fupi Prescription （抑肝扶脾方， YFP） in treating diarrhea-type irritable bowel syndrome （IBS-D） by investigating the AKT/mTOR signaling pathway. MethodsSixty SD rats were randomly divided into control group， model group， YFP low-， medium-， and high-dose group， and pinaverium bromide group， with 10 rats in each group. All groups but the control group， were subjected to 21 days of tail-clamping stimulation and 14 days of senna leaf gavage to establish a liver stagnation and spleen deficiency-type IBS-D rat model. After successful modeling， the YFP low-， medium-， and high-dose group were administered 0.96， 1.93， and 3.87 g/（kg·d） of the prescription， respectively. The pinaverium bromide group was given 13.5 mg/（kg·d）， while the control and model groups were given 10 ml/（kg·d） distilled water. All groups were administered once daily for 14 consecutive days. General conditions of the rats were recorded during the experiment， and after modeling and drug administration， body weight， Bristol stool score， abdominal withdrawal reflex （AWR） score， and histo pathology of colon tissue were observed under HE staining. ELISA was used to detect serum levels of tumor necrosis factor α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6）. Immunofluorescence was employed to detect the levels of AKT/mTOR pathway-related proteins including phosphorylated AKT （p-AKT）/AKT and phosphorylated mTOR （p-mTOR）/mTOR in the colon tissue. Western Blotting was used to detect the levels of autophagy-related proteins， including UNC-51-like kinase 1 （ULK1）， Beclin1 and LC3， and tight junction proteins including Occludin and ZO-1 in the colon tissue. ResultsAfter modeling， compared to the control group， the body weight of rats in the other groups decreased， and Bristol stool scores， as well as AWR scores under 20， 40， 60， and 80 mmHg increased （P＜0.05 or P＜0.01）. After drug administration， compared to the control group， the model group showed reduced body weight， decreased ULK1， Beclin1， LC3Ⅱ/LC3Ⅰ， Occludin， and ZO-1 protein levels in the colon tissue （P＜0.05 or P＜0.01）， and increased Bristol stool scores， AWR scores， serum TNF-α， IL-1β， and IL-6 levels， as well as p-AKT/AKT and p-mTOR/mTOR protein relative expression levels （P＜0.05 or P＜0.01）. Pathological results showed a significant reduction in goblet cells in the upper part of the glandular layer of the colon， with mild inflammatory cell infiltration. The submucosal collagen fibers were dissolved， with unclear boundaries， pale staining， and microvascular congestion and dilation. Compared with the model group， the YFP low-， medium-， and high-dose group and the pinaverium bromide group showed increased body weight， Beclin1， Occludin， and LC3Ⅱ/LC3Ⅰ protein levels （P＜0.05 or P＜0.01）， and decreased Bristol stool scores， AWR scores under 40， 60， and 80 mmHg， serum IL-1β， IL-6， TNF-α levels， and p-AKT/AKT， p-mTOR/mTOR protein relative expression levels （P＜0.05 or P＜0.01）. The pathological morphology of the rats in the YFP groups and pinaverium bromide group showed varying degrees of improvement. Compared with the pinaverium bromide group， the YFP low- and medium-dose group showed increased AWR scores under 20， 40， and 60 mmHg （P＜0.05）. The YFP low-dose group had reduced TNF-α， IL-1β， and IL-6 levels， and increased p-mTOR/mTOR protein relative expression levels occured in all YFP groups （P＜0.05）. Compared with the YFP low-dose group， the YFP high-dose group and pinaverium bromide group showed decreased AWR scores under different pressure levels and reduced p-AKT/AKT protein relative expression levels， while the YFP medium- and high-dose group had elevated serum TNF-α， IL-1β levels and reduced p-mTOR/mTOR protein relative expression levels （P＜0.05）. ConclusionYFP can effectively improve the pathological injury of colon tissue in IBS-D model rats with liver stagnation and spleen deficiency， reduce Bristol stool and AWR scores， and its mechanism may be related to reducing level of inflammatory factors and inhibiting AKT/mTOR pathway-related proteins in colon tissue， thereby enhancing the expression of autophagy-related proteins in the colon tissue.

[Objective] To determine the blood group of a patient with ABO forward and reverse typing discrepancies using PacBio third-generation sequencing (TGS) technology, and to explore the application of serological methods and molecular biological methods in identifying chimeric blood groups. [Methods] The blood group serology testing was utilized. PCR amplification and Sanger sequencing of exons 1-7 of the ABO gene were conducted. The full-length sequencing of the ABO gene and haplotype analysis were carried out by PacBio third-generation sequencing technology. Short tandem repeat typing was also performed. [Results] Serological testing suggested a suspected B subtype, which appeared mixed field of vision with anti-B antibodies and showed 2+mf strength agglutination. Sanger sequencing revealed a homozygous ABO^* O. 01. 01 genotype with the c. 261delG mutation in exon 6. PacBio TGS identified a predominant ABO^* O. 01. 01/ABO^* O. 01. 01 genotype and a low proportion of ABO^* B. 01. Nine locis of twenty short tandem repeat (STR) locis showed three or four types of genotypes in STR analysis, confirming chimerism. [Conclusion] The sample was a B/O blood group chimerism. The low proportion of ABO^* B. 01 chimerism was the true cause for the serological mixed field of vision. The PacBio third-generation sequencing technology can not only determine the ABO gene haplotype but also detect a low proportion gene chimerism in ABO blood groups.

BACKGROUND: The atherogenic index of plasma (AIP) has been shown to be positively correlated with cardiovascular disease in previous studies. However, it is unclear whether elderly people with long-term high AIP levels are more likely to develop coronary heart disease (CHD). Therefore, the aim of this study was to investigate the relationship between AIP trajectory and CHD incidence in elderly people. METHODS: 19,194 participants aged ≥ 60 years who had three AIP measurements between 2018 and 2020 were included in this study. AIP was defined as log₁₀ (triglyceride/high-density lipoprotein cholesterol). The group-based trajectory model was used to identify different trajectory patterns of AIP from 2018 to 2020. Cox proportional hazards models were used to estimate the hazard ratio (HR) with 95% CI of CHD events between different trajectory groups from 2020 to 2023. RESULTS: Three different trajectory patterns were identified through group-based trajectory model: the low-level group (n = 7410, mean AIP: -0.25 to -0.17), the medium-level group (n = 9981, mean AIP: 0.02-0.08), and the high-level group (n = 1803, mean AIP: 0.38-0.42). During a mean follow-up of 2.65 years, a total of 1391 participants developed CHD. After adjusting for potential confounders, compared with the participants in the low-level group, the HR with 95% CI of the medium-level group and the high-level group were estimated to be 1.24 (1.10-1.40) and 1.43 (1.19-1.73), respectively. These findings remained consistent in subgroup analyses and sensitivity analyses. CONCLUSIONS There was a significant correlation between persistent high AIP level and increased CHD risk in the elderly. This suggests that monitoring the long-term changes in AIP is helpful to identify individuals at high CHD risk in elderly people.

Triple-negative breast cancer is therapeutically challenging due to the low expression of tumor markers and 'cold' tumor immunosuppressive microenvironment. Here, we present a dual-targeting peptide-drug conjugate (PDC) for tumor inhibition. Our PDC efficiently and selectively delivers cytotoxic Monomethyl Auristatin E (MMAE) into tumor cells via C-X-C chemokine receptor type 4 (CXCR4) and folate receptor 1 (FOLR1) for synergistic inhibition of growth and metastasis. Our results show that the dual-targeting PDC has potent antitumor activity in cultured human cells and several murine transplanted tumor models without apparent toxicity. The combination of dual-targeting PDC and radiotherapy modulates the tumor immunosuppressive microenvironment by increasing CD8⁺ T cell infiltration and attenuating the proportion of myeloid-derived suppressor and regulatory T cells. Therefore, our dual-targeting PDC represents a promising new strategy for cancer therapy that rebalances the immune system and promotes tumor regression.

Periodontitis has emerged as one of the most critical oral diseases, and research on this condition holds great importance for the advancement of stomatology. As the most authoritative national scientific research funding institution in China, the National Natural Science Foundation of China (NSFC) has played a pivotal role in driving the progress of periodontal science by supporting research on periodontitis. This article provides a comprehensive review of the research and development progress related to periodontitis in China from 2014 to 2023, highlighting the significant contributions of the NSFC to this field. We have summarized the detailed funding information from the NSFC, including the number of applicant codes, funded programs and the distribution of funded scholars. These data illustrate the efforts of the NSFC in cultivating young scientists and building research groups to address key challenges in national scientific research. This study offers an overview of the current hot topics, recent breakthroughs and future research prospects related to periodontitis in China.
China ; Periodontitis ; Humans ; Foundations ; Research Support as Topic ; Natural Science Disciplines ; Dental Research/economics*

OBJECTIVE: Citri Reticulatae Pericarpium (Chenpi, CRP) is one of the most used traditional Chinese medicines with great medicinal, dietary and collection values, among which the Citrus reticulata cv. 'Chachi' (Citrus reticulata cv. Chachiensis) from Guangdong Xinhui is the geoherb of CRP. Xinhui CRP in the market was often counterfeited with other varieties or origins, molecular identification method can effectively distinguish different CRP varieties, but it's still a difficult problem to identify the same CRP variety from different origin. It is necessary to discover a new molecular marker to ensure the safe and effective application of Xinhui CRP. METHODS: We selected one of the most studied transcription factor families in Citrus genus, MYB, to design the specific candidate primers on the conserved region. The primers with good band repeatability and high polymorphism were screened for PCR amplification of the test materials, and the genetic similarity coefficient among different families, genera, species, and origins were calculated. The cluster analysis was performed by unweighted pair group method using arithmetic average (UPGMA). RESULTS: A total of ten MYB primers were screened out to identify Xinhui CRP from plants from different family (Panax ginseng and Morus alba), genus (Clausena lansium and Zanthoxylum schinifolium), and species (Citrus reticulata, C. sinensis and C. maxima). Furthermore, two from the ten primers, M1 and M10, were found to distinguish Xinhui CRP from other origins. There were 169, 113, 133 and 134 polymorphic bands in the identification of different families, genera, species, and origins respectively, and the accordingly polymorphism ration were 79.88%, 76.87%, 79.20% and 82.84%. Moreover, M1 was discovered to be the best primer to identify Xinhui CRP from other seven origins, the cluster analysis results based on the genetic similarity coefficients were consistent with the geographical distribution. CONCLUSION This study established a novel molecular identification method according to MYB transcription factor, which can analyze the potential parental relationship of CRP germplasm, as well as identify the quality and origins of Xinhui CPR.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence