OBJECTIVE: Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR). METHODS: We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes. RESULTS: Three core gut microorganisms were identified: Romboutsia ( OR = 0.249) as a protective factor against silicosis, Pasteurellaceae ( OR = 3.207) and Haemophilus parainfluenzae ( OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk. CONCLUSIONS This multi-omics study highlights the associations between gut microbiota and key genes ( VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Humans ; Male ; East Asian People/genetics* ; Europe ; Gastrointestinal Microbiome ; Lung ; Macrophage Migration-Inhibitory Factors/metabolism* ; Mendelian Randomization Analysis ; Multiomics ; Pneumoconiosis/microbiology* ; Intramolecular Oxidoreductases

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.

Diabetic foot ulcer (DFU) have emerged as a serious global health issue due to its high rates of occurrence, disability, and mortality. DFU exhibit an exceptionally high recurrence rate, driven by a combination of behavioral and biological factors, leading to the recognition of fully epithelialized ulcers as being in "remission" rather than cured. However, the pathogenic factors underlying recurrent DFU (RDFU) remain poorly understood. This review examines the epidemiological characteristics and pathophysiological mechanisms of RDFU. Key mechanisms include neuropathy, angiopathy, epigenetic modifications, and metabolic memory. Research demonstrates that RDFU development results from the interplay of multiple factors: hyperglycemia-induced metabolic abnormalities, chronic inflammatory responses, vascular and neurological damage, as well as dysregulated epigenetic control. These factors interact synergistically, creating a vicious cycle that increases the risk of recurrence and delays recovery. By synthesizing current knowledge, this review aims to provide a foundation for future research and clinical management of RDFU. The insights presented support the development of personalized treatment strategies and effective preventive measures to reduce recurrence and improve patient outcomes.

Objective:To analyze the relationship between microRNA-21(miR-21)expression and the risk of very early relapse post-induction chemotherapy in children with acute lymphoblastic leukemia(ALL).Methods:A total of 110 newly diagnosed children with ALL admitted to Huanggang Central Hospital from March 2020 to September 2022 were included.All patients received induction chemotherapy according to the CCLG-2008 protocol.The patients who achieved complete response(CR)after induction chemotherapy were followed up for 18 months,with very early relapse as the endpoint event.Then the patients were divided into a relapse group and a non-relapse group.Cox regression was used to analyze the influencing factors of very early relapse after induction chemotherapy in children with ALL.ROC curve and decision curve were used to evaluate the predictive value of peripheral blood miR-21 for very early relapse after induction chemotherapy in children with ALL.Restricted cubic splines were used to analyze the dose-response relationship between peripheral blood miR-21 and very early relapse after induction chemotherapy in children with ALL.Results:A total of 102 children with ALL achieved CR after induction chemotherapy,among whom 24 cases(23.53％)experienced very early relapse,with a median relapse time of 14 months.The proportions of patients with high-risk stratification at initial diagnosis,extramedullary infiltration,and minimal residual disease(MRD)positivity were significantly higher in the relapse group than those in the non-relapse group;The absolute lymphocyte count(ALC)in peripheral blood was significantly lower,while the expression levels of miR-21 and lactate dehydrogenase(LDH)were significantly higher in the relapse group compared with the non-relapse group(all P＜0.05).Cox regression analysis showed that very early relapse after induction chemotherapy in children with ALL was associated with medium risk and high risk at initial diagnosis,extramedullary infiltration,decreased ALC in peripheral blood,MRD positivity,as well as high expression levels of miR-21 and LDH(all P＜0.05).ROC curve analysis indicated that the area under the curve(AUC)of peripheral blood miR-21 for predicting very early relapse after induction chemotherapy in children with ALL was 0.800,with an optimal cutoff value of 4.830.Restricted cubic spline analysis revealed that there was a non-linear dose-response relationship between peripheral blood miR-21 and the risk of very early relapse after induction chemotherapy in children with ALL.When the expression level of peripheral blood miR-21 exceeded 4.830,the risk of very early relapse increased with the elevation of miR-21 expression.Decision curve analysis demonstrated that combining peripheral blood miR-21 with other risk factors enhanced the predictive performance for the risk of very early relapse after induction chemotherapy in children with ALL.Conclusion:Very early relapse after induction chemotherapy in children with ALL is associated with elevated expression of miR-21 in peripheral blood,and high expression of miR-21 may increase the risk of very early relapse.Detecting miR-21 before induction chemotherapy has predictive significance for very early relapse in children with ALL,and combining it with other risk factors can improve the predictive efficacy.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To analyze the human immunodeficiency virus (HIV) screening status and the resulting residual risk (RR) among blood donors across 17 provincial blood centers in China.Methods:This study used a cross-sectional study. Data on HIV infection markers per 100 000 first-time donors (FD) and repeat donors (RD) from January 2015 to December 2024 were extracted from the National Blood Establishment Performance Comparison Information Management System. Questionnaires were used to collect each center′s HIV screening strategy, algorithm, serological test (ST) kit manufacturers, gray-zone setting for ST, and nucleic acid test (NAT) modality, method, and platform. The incidence-window-period model was used to calculate the residual risk for first-time donors (RR FD), repeat donors (RR RD), and total donors (RR TD) at each center. Horizontal and vertical analysis of RR FD, RR RD, and RR TD across centers and years were performed. Results:All 17 centers applied the same HIV screening strategy which was two rounds of ST followed by one round of NAT. Eight of them operated a single screening algorithm, six employed two algorithms and three used three. Eleven centers used both imported and domestic ST kits, five relied on domestic ST kits only, and one used imported ST kits only, while four centers never set a grey zone for ST throughout the decade. For NAT modalities, eight centers adopted both individual nucleic acid test (ID-NAT) and minipool nucleic acid test (MP-NAT), eight used MP-NAT only and one used ID-NAT only. Seven centers combined transcription mediated amplification (TMA) and polymerase chain reaction (PCR), nine used PCR only and one used TMA only, and fourteen centers ran both imported and domestic NAT systems, two used imported systems only and one used a domestic system only. Over the ten-year period, the mean RR FD across the centers ranged from 2.22 to 12.33 per 10 6 person-years, RR RD from 0.83 to 3.29 per 10 6 person-years and RR TD from 1.59 to 9.29 per 10 6 person-years, with center Z4 consistently showing the lowest values for all three metrics and center U4 recording the highest RR FD and RR TD, while center D2 had the highest RR RD. In 2024 compared with 2015, eleven centers achieved a lower RR FD and ten centers achieved lower RR RD and RR TD. The RR FD and RR TD of centers W2 and U4 displayed pronounced fluctuations and an upward trend in recent years. Conclusions:The 17 provincial blood centers maintain consistent HIV screening strategies, while demonstrating variations in screening algorithm, ST kit manufacturers, NAT modalities, methods, and platform. And the RR FD, RR RD, and RR TD differ across centers. Although most centers show declining trend in RR over the ten-year period, some centers exhibite data fluctuations with a rising trend, suggesting potential for further optimization of HIV screening protocols.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To analyze the relationship between microRNA-21(miR-21)expression and the risk of very early relapse post-induction chemotherapy in children with acute lymphoblastic leukemia(ALL).Methods:A total of 110 newly diagnosed children with ALL admitted to Huanggang Central Hospital from March 2020 to September 2022 were included.All patients received induction chemotherapy according to the CCLG-2008 protocol.The patients who achieved complete response(CR)after induction chemotherapy were followed up for 18 months,with very early relapse as the endpoint event.Then the patients were divided into a relapse group and a non-relapse group.Cox regression was used to analyze the influencing factors of very early relapse after induction chemotherapy in children with ALL.ROC curve and decision curve were used to evaluate the predictive value of peripheral blood miR-21 for very early relapse after induction chemotherapy in children with ALL.Restricted cubic splines were used to analyze the dose-response relationship between peripheral blood miR-21 and very early relapse after induction chemotherapy in children with ALL.Results:A total of 102 children with ALL achieved CR after induction chemotherapy,among whom 24 cases(23.53％)experienced very early relapse,with a median relapse time of 14 months.The proportions of patients with high-risk stratification at initial diagnosis,extramedullary infiltration,and minimal residual disease(MRD)positivity were significantly higher in the relapse group than those in the non-relapse group;The absolute lymphocyte count(ALC)in peripheral blood was significantly lower,while the expression levels of miR-21 and lactate dehydrogenase(LDH)were significantly higher in the relapse group compared with the non-relapse group(all P＜0.05).Cox regression analysis showed that very early relapse after induction chemotherapy in children with ALL was associated with medium risk and high risk at initial diagnosis,extramedullary infiltration,decreased ALC in peripheral blood,MRD positivity,as well as high expression levels of miR-21 and LDH(all P＜0.05).ROC curve analysis indicated that the area under the curve(AUC)of peripheral blood miR-21 for predicting very early relapse after induction chemotherapy in children with ALL was 0.800,with an optimal cutoff value of 4.830.Restricted cubic spline analysis revealed that there was a non-linear dose-response relationship between peripheral blood miR-21 and the risk of very early relapse after induction chemotherapy in children with ALL.When the expression level of peripheral blood miR-21 exceeded 4.830,the risk of very early relapse increased with the elevation of miR-21 expression.Decision curve analysis demonstrated that combining peripheral blood miR-21 with other risk factors enhanced the predictive performance for the risk of very early relapse after induction chemotherapy in children with ALL.Conclusion:Very early relapse after induction chemotherapy in children with ALL is associated with elevated expression of miR-21 in peripheral blood,and high expression of miR-21 may increase the risk of very early relapse.Detecting miR-21 before induction chemotherapy has predictive significance for very early relapse in children with ALL,and combining it with other risk factors can improve the predictive efficacy.

Diabetic foot ulcer (DFU) have emerged as a serious global health issue due to its high rates of occurrence, disability, and mortality. DFU exhibit an exceptionally high recurrence rate, driven by a combination of behavioral and biological factors, leading to the recognition of fully epithelialized ulcers as being in "remission" rather than cured. However, the pathogenic factors underlying recurrent DFU (RDFU) remain poorly understood. This review examines the epidemiological characteristics and pathophysiological mechanisms of RDFU. Key mechanisms include neuropathy, angiopathy, epigenetic modifications, and metabolic memory. Research demonstrates that RDFU development results from the interplay of multiple factors: hyperglycemia-induced metabolic abnormalities, chronic inflammatory responses, vascular and neurological damage, as well as dysregulated epigenetic control. These factors interact synergistically, creating a vicious cycle that increases the risk of recurrence and delays recovery. By synthesizing current knowledge, this review aims to provide a foundation for future research and clinical management of RDFU. The insights presented support the development of personalized treatment strategies and effective preventive measures to reduce recurrence and improve patient outcomes.