BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

Objective With the vigorous development of nuclear reactors and controlled thermonuclear fusion research, the release of tritium, the predominant radionuclide in nuclear wastewater, into the environment has attracted widespread attention. Its impact on human health has also become a hot topic of research. This article presents a visual analysis of the literature on the biological effects of tritium ingestion by organisms over the past 70 years, with the aim of elucidating the biological effects of tritiated water and identifying current research hotspots and emerging trends. Methods We retrieved articles on the biological effects of tritium radiation published in the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) over the past 70 years. CiteSpace software was used to generate visual maps, including annual number of publications, countries of publication, keyword clustering, keyword timeline, keyword burst, and literature co-citation. Results A total of 437 articles were included. The cumulative number of annual publications exhibited a linear growth trend. Research hotspots focused on low-radioactivity tritiated water, dose rate effect, DNA double-strand break damage, genetic effect, and cancer mortality. Emerging research frontiers included human lymphocyte immune injury, oxidase activity, comparison of marine organisms in different living environments, comparison of tritium and ionizing radiation effects, changes in mitochondrial ATP content, and the hormetic effect of low-dose radiation. Conclusion In cellular and animal models, high doses of tritium exposure induce negative biological effects. However, whether low doses of tritium esposure elicit beneficial biological effects remains to be further explored. It is suggested that domestic and foreign teams enhance academic collaboration and discussions, focusing on current hotspots and frontiers to deepen our understanding of the biological effects induced by tritium radiation. This will provide scientific solutions for disease treatment and establish a scientific basis for the safe utilization of nuclear energy and the formulation of safety standards for nuclear wastewater discharge.

Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

Objective To elucidate the mechanism by which the BANCR/miR-145-5p axis regulates the AKT-GLUT1/HK2 pathway through downstream targets Reg3A/DMBT1 to facilitate the Warburg effect in gastric cancer. Methods Expression levels of BANCR, miR-145-5p, Reg3A, and DMBT1 were detected by RT-qPCR and Western blot in gastric cancer tissues and cell lines. Dual-luciferase reporter assays confirmed targeted relationships. Glycolytic capacity was assessed via glucose uptake. Immunohistochemistry analyzed molecular expression in 60 paired clinical samples. The prognostic values of key molecules in the BANCR/miR-145-5p-Reg3A/DMBT1 axis were evaluated by Kaplan-Meier survival analysis and Cox proportional hazards regression model. Results BANCR was significantly upregulated, whereas miR-145-5p was downregulated in gastric cancer tissues, correlating with advanced TNM stage, lymph node metastasis, and poor differentiation. Reg3A and DMBT1 were identified as direct targets of miR-145-5p. Knockdown of BANCR or overexpression of miR-145-5p significantly suppressed Reg3A/DMBT1 expression, reduced AKT phosphorylation and GLUT1/HK2 levels, and inhibited glycolysis. Clinical analysis revealed positive correlations between Reg3A/DMBT1 expression and glycolytic markers, with both serving as independent risk factors for poor prognosis. Conclusion The BANCR/miR-145-5p axis activates the AKT pathway by targeting Reg3A/DMBT1, thereby promoting GLUT1/HK2/LDHA-mediated glycolysis and facilitating the Warburg effect in gastric cancer. This regulatory axis represents a potential therapeutic target and prognostic biomarker.

AIM:To explore the effect of miR-1246 on high glucose-induced retinal microvascular endothelial cells(RMECs)injury by regulating methyltransferase like 3(METTL3)mediated sirtuin 1(SIRT1)N6-methyladenosine(m6A)modification.METHODS:Dual luciferase assay was used to detect miR-1246 regulation of METTL3 expression; RMECs cells were divided into control group, high glucose(HG)group, high glucose+knocking down control(HG+anti-miR-NC)group, high glucose+knocking down miR-1246 expression(HG+anti-miR-1246)group, high glucose+overexpression control(HG+NC)group, high glucose+overexpression METTL3(HG+METTL3)group, high glucose+overexpression miR-1246+control(HG+miR-1246+NC)group, and high glucose+overexpression miR-1246+METTL3(HG+miR-1246+METTL3)group. After induction of high glucose for 48 h, CCK-8 method was used to detect cell survival; Annexin V-FITC/PI method was used to detect cell apoptosis; Transwell experiment was used to detect cell migration and invasion; ELISA method was used to detect cell oxidative stress and inflammation levels; Colorimetric method was used to detect m6A methylation level in total RNA; MeRIP-qPCR method was used to detect SIRT1 m6A methylation level; Real-time quantitative PCR was used to detect miR-1246, METTL3, SIRT1 mRNA expression in cells; Western blot was used to detect METTL3, SIRT1 and endothelial mesenchymal transition(EndMT)markers protein expression in cells.RESULTS: The MiR-1246 regulated METTL3 expression. Compared with the control group, cell survival rate was decreased in the HG group, apoptosis rate was increased, and the number of migrating and invading cells were increased, lactate dehydrogenase(LDH)activity, tumor necrosis factor-α(TNF-α), and interleukin(IL)-6 levels in cell culture supernatant were increased, IL-10 level was decreased, malondialdehyde(MDA)level was increased, superoxide dismutase(SOD)activity was decreased, miR-1246 expression was increased, total RNA m6A level and SIRT1 m6A level were decreased, METTL3, SIRT1, cluster of differentiation 31(CD31)and vascular endothelial cadherin(VE-cadherin)expression were decreased, while Vimentin and Snail1 expression were increased(all P<0.05); compared with the HG+anti-miR-NC group, cell survival rate was increased in the HG+anti-miR-1246 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05); compared with the HG+NC group, cell survival rate was increased in the HG+METTL3 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05); compared with the HG+miR-1246+NC group, cell survival rate was increased in the HG+miR-1246+METTL3 group, apoptosis rate was decreased, and the number of migrating and invading cells were decreased, LDH activity, TNF-α, and IL-6 levels in cell culture supernatant were decreased, IL-10 level was increased, MDA level was decreased, SOD activity was increased, miR-1246 expression was decreased, total RNA m6A level and SIRT1 m6A level were increased, METTL3, SIRT1, CD31 and VE-cadherin expression were increased, while Vimentin and Snail1 expression were decreased(all P<0.05).CONCLUSION:The miR-1246 promotes high glucose-induced apoptosis, invasion and metastasis, oxidative stress, inflammatory response, and EndMT process in RMECs cells by regulating METTL3 mediated SIRT1 m6A modification.

ObjectiveTo examine the influences of Shenfu injection on the endogenous metabolic byproducts in the myocardium of the rat model exhibiting chronic heart failure， thus deciphering the therapeutic mechanism of the Qi-reinforcing and Yang-warming method. MethodsSD rats were randomly allocated into a control group and a modeling group. Chronic heart failure with heart-Yang deficiency syndrome in rats was modeled by multi-point subcutaneous injection of isoproterenol， and the rats were fed for 14 days after modeling. The successfully modeled rats were randomized into model， Shenfu injection （6.0 mL·kg^-1）， and trimetazidine （10 mg·kg^-1） groups and treated with corresponding agents for 15 days. The control group and the model group were injected with equal doses of normal saline， and the samples were collected after the intervention was completed. Cardiac color ultrasound was performed. Hematoxylin-eosin （HE） staining was used to observe histopathological morphology， and the serum level of N-terminal pro-brain natriuretic peptide （NT-proBNP） was assessed by enzyme-linked immunosorbent assay （ELISA）. The mitochondrial morphological and structural changes of cardiomyocytes were observed by transmission electron microscopy， and the metabolic profiling was carried out by ultra high performance liquid chromatography-quantitative exactive-mass spectrometry （UHPLC-QE-MS）. Differential metabolites were screened and identified by orthogonal partial least squares-discriminant analysis （OPLS-DA） and other methods， and then the MetaboAnalyst database was used for further screening. The relevant biological pathways were obtained through pathway enrichment analysis. The receiver operating characteristic （ROC） curve was established to evaluate the diagnostic value of each potential biomarker for myocardial injury and the evaluation value for drug efficacy. ResultsThe results of color ultrasound showed that Shenfu Injection improved the cardiac function indexes of model rats （P<0.05）. The results of HE staining showed that Shenfu injection effectively alleviated the pathological phenomena such as myocardial tissue structure disorder and inflammatory cell infiltration in model rats. The results of ELISA showed that Shenfu injection effectively regulated the serum NT-proBNP level in the model rats. Transmission electron microscopy （TEM） showed that Shenfu injection effectively restored the mitochondrial morphological structure. The results of metabolomics showed that the metabolic phenotypes of myocardial samples presented markedly differences between groups. Nine differential metabolites could be significantly reversed in the Shenfu injection group， involving three metabolic pathways： pyruvate metabolism， histidine metabolism， and citric acid cycle （TCA cycle）. The results of ROC analysis showed that the area under the curve （AUC） values of all metabolites were between 0.75 and 1.0， indicating that the differential metabolites had high diagnostic accuracy for myocardial injury， and the changes in their expression levels could be used as potential markers for efficacy evaluation. ConclusionShenfu injection significantly alleviated the damage of cardiac function， myocardium， and mitochondrial structure in the rat model of chronic heart failure with heart-Yang deficiency syndrome by ameliorating energy metabolism remodeling. Reinforcing Qi and warming Yang is a key method for treating chronic heart failure with heart-Yang deficiency syndrome.

ObjectiveTo establish a mouse model of rheumatoid arthritis with interstitial lung disease （RA-ILD） in DBA/1 mice using Porphyromonas gingivalis （Pg） infection combined with collagen-induced arthritis （CIA）， and to comprehensively evaluate pathological characteristics in joints， lungs， and serum. MethodsForty DBA/1 mice were randomly divided into four groups， i.e.， Control， Pg infection （Pg）， CIA， and Pg infection combined with CIA （Pg+CIA）， with 10 mice in each group. Arthritis clinical symptoms were evaluated by recording arthritis incidence and clinical scores. Micro-CT scanning was used to assess knee joint pathology. Histopathological changes and collagen deposition in knee joints and lung tissues were analyzed using hematoxylin-eosin （HE） and Masson staining. Immunohistochemistry was performed to detect protein expression of α-smooth muscle actin （α-SMA）， typeⅠ collagen （ColⅠ）， and fibronectin （FN） in lung tissues. Real-time quantitative polymerase chain reaction（Real-time PCR）was used to measure mRNA expression levels of α-SMA， ColⅠ， FN， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， and IL-1β in lung tissues. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of Pg， cyclic citrullinated peptide （CCP）， and immunoglobulin G （IgG）. ResultsJoint lesions： The CIA and Pg+CIA groups showed 100% arthritis incidence， with evident joint redness， swelling， and deformity. The number of affected limbs was 27 and 28， and clinical scores were 68 and 70， respectively. No obvious clinical symptoms were observed in the Pg group. Histopathological and imaging analyses showed severe joint lesions in the CIA and Pg+CIA groups， with significantly increased histopathological scores， bone mineral density， bone volume fraction， trabecular thickness， and trabecular number compared to the Control group （P<0.01）. No obvious joint pathology was observed in the Pg group. Lung lesions： The Pg+CIA group exhibited marked alveolar inflammation， interstitial inflammatory cell infiltration， and alveolar wall thickening， with pronounced blue staining of collagen fibers. Histopathological scores and collagen area ratios were significantly higher than those of the Control， Pg， and CIA groups （P<0.05）. Lung protein and mRNA expression levels of α-SMA， ColⅠ， and FN were markedly increased， and mRNA levels of IL-6， TNF-α， and IL-1β were significantly elevated compared to the Control group （P<0.05）. Serology： The Pg+CIA group showed significantly higher levels of CCP， Pg， and IgG compared with the Control， Pg， and CIA groups （P<0.05）. ConclusionDBA/1 mice subjected to Pg infection combined with CIA exhibited pronounced symptoms and pathological features of RA-ILD， along with elevated serum anti-CCP antibody levels. This model represents a novel RA-ILD mouse model， providing a valuable experimental tool for investigating RA-ILD pathogenesis and developing new therapeutics， and serves as a basis for establishing anti-cyclic citrullinated peptide antibody （ACPA）-positive RA-ILD animal models.

Objective To explore the relationship between circadian rhythm genes and the occurrence, development, prognosis, and tumor microenvironment (TME) of lung adenocarcinoma (LUAD). Methods The Cancer Genome Atlas data were used to evaluate the expression, copy number variation, and somatic mutation frequency of circadian gene sets in LUAD. Gene ontology, Kyoto encyclopedia of genes and genomes, and gene set enrichment analysis were used to explore the potential mechanisms by which circadian rhythm genes affected LUAD progression. Cox regression, least absolute shrinkage and selection operator regression, support vector machine recursive feature elimination, and random forest screened circadian genes and established prognostic models, and on this basis constructed nomogram to predict patients’ 1-, 3-, and 5-year survival rates. Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves were drawn to evaluate the predictive ability of the model, and the external dataset of GEO further verified the prognostic value of the prediction model. In addition, we evaluated the association of the prognostic model with immune cells and immune checkpoint genes. Single cell RNA sequencing (scRNA-seq) analysis was used to explore the molecular characteristics between prognostically relevant circadian genes and different immune cell populations in TME. Results Differentially expressed circadian rhythm genes were mainly enriched in biological processes related to cGMP-PKG signaling pathway, lipid and atherosclerosis, and JAK-STAT signaling pathway. Seven circadian rhythm genes: LGR4, CDK1, KLF10, ARNTL2, RORA, NPAS2, PTGDS were screened out, and a RiskScore model was established. According to the median RiskScore, samples were divided into a high-risk group and a low-risk group. Compared with patients in the low-risk group, patients in the high-risk group showed a poorer prognosis (P<0.001). Immunological characterization analysis showed that there were differences in the infiltration of multiple immune cells between the low-risk group and high-risk group. Most immune checkpoint genes had higher expression levels in the high-risk group than those in the low-risk group, and RiskScore was positively correlated with the expression of CD276, TNFSF4, PDCD1LG2, CD274, and TNFRSF9, and negatively correlated with the expression of CD40LG and TNFSF15. The scRNA-seq analysis showed that RORA and KLF10 were mainly expressed in natural killer cells. Conclusion The prognostic model based on seven feature circadian rhythm genes has certain predictive value for predicting survival of LUAD patients. Dysregulated expression of circadian genes may regulate the occurrence, progression as well as prognosis of LUAD through affecting TME, which provides a possible direction for finding potential strategies for treating LUAD from the perspective of mechanism by which circadian disorder affects immune cells.

ObjectiveTo investigate whether visceral fat area （VFA） is an independent risk factor for significant liver fibrosis in patients with nonalcoholic fatty liver disease （NAFLD） based on clinical data， and to establish an effective diagnostic model. MethodsA total of 222 NAFLD patients who attended Department of Hepatology， Guangdong Provincial Hospital of Traditional Chinese Medicine， from January 2021 to April 2025 were enrolled， and according to liver stiffness measurement （≥8 kPa or not）， they were divided into significant fibrosis group and non-significant fibrosis group. Propensity score matching （PSM） was performed at a ratio of 1∶1 to balance the baseline data between the two groups. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups； the chi-square test was used for comparison of categorical data between groups. A Spearman correlation analysis was used to determine the correlation of VFA and other indicators with significant liver fibrosis； univariate and multivariate logistic regression analyses were used to identify whether VFA was an independent risk factor for significant liver fibrosis in NAFLD patients， and the receiver operating characteristic （ROC） curve was plotted to assess the predictive performance of related indicators. ResultsA total of 45 patients with significant liver fibrosis and 177 patients without significant liver fibrosis were enrolled， and after PSM， 90 patients （45 pairs） were finally included in analysis. Compared with the non-significant fibrosis group， the significant fibrosis group had significantly higher levels of body mass index （BMI）， fasting blood glucose （FBG）， glycated hemoglobin （HbA1c）， uric acid （UA）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， gamma-glutamyl transpeptidase （GGT）， controlled attenuation parameter （CAP）， and VFA， as well as a significantly higher proportion of patients with visceral fat obesity or three or more metabolic risk factors （all P<0.05）. VFA， BMI， AST， and HbA1c were strongly correlated with significant liver fibrosis （all r>0.5， all P <0.05）， and ALT， GGT， UA， FBG， and CAP were significantly positively correlated with significant liver fibrosis （r=0.3　—　0.5， all P<0.05）. VFA （odds ratio ［OR］=1.040， 95% confidence interval ［CI］： 1.018　—　1.062， P<0.05）， FBG （OR=2.372， 95%CI： 1.199　—　4.691， P<0.05）， and AST （OR=1.032， 95%CI： 1.003　—　1.058， P<0.05） were independent risk factors for significant liver fibrosis in NAFLD patients. The new diagnostic model based on VFA， FBG， and AST （with an area under the ROC curve ［AUC］ of 0.907） had a significantly better performance than aspartate aminotransferase-to-platelet ratio index （AUC=0.834）， fibrosis-4 （AUC=0.660）， triglyceride-glucose index （AUC=0.656）， and NAFLD fibrosis score （AUC=0.768） in predicting significant liver fibrosis in NAFLD patients （all P<0.05）. ConclusionVFA is an independent risk factor for significant liver fibrosis in NAFLD patients， and the noninvasive diagnostic model based on VFA， FBG， and AST can effectively predict the onset of significant liver fibrosis in NAFLD patients.