Develop a bone mineral density T-score distribution nomograms based on osteoporosis risk factors for middle-aged and older adults.

PURPOSE: This study aimed to understand how age, health status, and lifestyle impact bone mineral density (BMD) in middle-aged and older adults, focusing on predicting osteoporosis risk. METHODS: This study included 2836 participants aged 50-88 from the Health Improvement Program of Bone (HOPE) conducted from 2021 to 2023. We used logistic regression to make a prediction tool. Then checked its accuracy and reliability using receiver operating characteristic (ROC) and calibration curves. RESULTS: Factors like age, body weight, prior fractures, and smoking were independently found to affect BMD T-score distribution in men. In women, age and body weight were identified as independent factors influencing BMD T-score distribution. A nomogram was created to visually illustrate these predictive relationships. CONCLUSIONS: The nomogram proved highly accurate in identifying men aged 50 and above and postmenopausal women based on their BMD T-score distribution, improving clinical decision-making and patient care in osteoporosis evaluation and treatment.

Ephs in cancer progression: complexity and context-dependent nature in signaling, angiogenesis and immunity.

Eph receptors constitute the largest family of receptor tyrosine kinases, comprising 14 distinct members classified into two subgroups: EphAs and EphBs.. Despite their essential functions in normal physiological processes, accumulating evidence suggests that the involvement of the Eph family in cancer is characterized by a dual and often contradictory nature. Research indicates that Eph/ephrin bidirectional signaling influences cell-cell communication, subsequently regulating cell migration, adhesion, differentiation and proliferation. The contradictory functionalities may arise from the diversity of Eph signaling pathways and the heterogeneity of different cancer microenvironment. In this review, we aim to discuss the dual role of the Eph receptors in tumor development, attempting to elucidate the paradoxical functionality through an exploration of Eph receptor signaling pathways, angiogenesis, immune responses, and more. Our objective is to provide a comprehensive understanding of the molecular mechanisms underlying tumor development. Additionally, we will explore the evolving landscape of utilizing Eph receptors as potential targets for tumor therapy and diagnostic tools.

Integrative Omics Analysis Reveals Metabolic Features of Ground-Glass Opacity-Associated Lung Cancer.

Background: Ground-glass opacity (GGO)-associated cancers are increasingly prevalent, exhibiting unique clinical and molecular features that suggest the need for a distinct treatment strategy. However, the metabolic characteristics and vulnerabilities of GGO-associated lung cancers remain unexplored. Methods: We conducted metabolomic and transcriptomic analyses on 40 pairs of GGO-associated lung cancer tissues and adjacent normal tissues. By integrating data from TCGA database and single-cell RNA sequencing, we aimed to identify aberrant metabolic pathways, establish a metabolite-associated gene signature, and pinpoint key metabolic genes. The physiological effect of key genes was detected in vitro and vivo assays. Results: We identified a 30-gene metabolite-associated signature and discovered aberrant metabolic pathways for GGO-associated lung cancer at both metabolic and transcriptional levels. Patients with this signature displayed specific prognostic and molecular features. Cox regression analysis, based on the Cancer Genome Atlas Program (TCGA) data, further narrowed down the metabolite-related gene signature, resulting in a 5-gene signature. Confirmed by single-cell RNA sequencing (GSE203360), the 5-gene signature was mainly expressed in cancer cells of GGO tissue. Real-time quantitative PCR (RT-qPCR) further validated the differential expression of these genes between GGO and adjacent normal tissue obtained from pulmonary surgery. Finally, our integrative analysis unveiled aberrant histidine metabolism at both the multi-omics and single-cell levels. Moreover, we identified MAOB as a key metabolic gene, demonstrating its ability to suppress cell proliferation, migration, and invasion in LUAD cell lines, both in vitro and in vivo. Conclusions: We identified a specific metabolite-associated gene signature and identified aberrant histidine metabolism in GGO-associated lung cancer from multiple perspectives. Notably, MAOB, a crucial component in histidine metabolism, demonstrated a significant inhibitory effect on the proliferation and metastasis of LUAD, indicating its potential significance in pathogenesis and therapeutic interventions.

EphB1 promotes the differentiation and maturation of dendritic cells in non-small cell lung cancer.

EphB1 is implicated in numerous physiological and pathological processes, including nervous system diseases, cardiovascular diseases and cancers. It binds to membrane-bound ligands and drives bidirectional signaling. EphB1, along with its ligand ehrinB, plays a pivotal role in activating immune cells. However, despite its presence in dendritic cells (DCs), EphB1's involvement in the differentiation and maturation of DCs in cancers remains inadequately understood. In this study, we found compromised differentiation and maturation of DCs in EphB1-/- mice bearing lung adenocarcinoma syngeneic tumors. Our in vitro assays revealed that EphB1 phosphorylation induced DC differentiation and maturation. Cox-2, a key enzyme involved in the production of proinflammatory molecules, is implicated in DC differentiation induced by phosphorylated EphB1. Additionally, the study has identified lead compounds that specifically target EphB1 phosphorylation sites. Collectively, this research on EphB1 phosphorylation has provided valuable insights into the regulation of immune cell functionality and holds the potential for the development of innovative therapeutic strategies for a range of diseases.

Economic evaluation of four treatment strategies for postmenopausal patients with osteoporosis and a recent fracture in mainland China: a cost-effectiveness analysis.

Postmenopausal patients with osteoporosis who have a recent fracture are at very high risk of fracture, and this study finds that stratified treatment based on fracture risk would be a cost-effective treatment option for this population. PURPOSE: To evaluate the cost-effectiveness of four anti-osteoporosis medications (denosumab, zoledronate, teriparatide, and alendronate) for postmenopausal osteoporotic women in mainland China, using a stratified treatment strategy recommended by the American Association of Clinical Endocrinologists and the American College of Endocrinology (AACE/ACE). METHODS: A microsimulation Markov model was used to compare the cost-effectiveness of the four treatments in postmenopausal osteoporotic patients of different ages (65, 70, 75, and 80 years), with a recent fracture from the Chinese healthcare perspective. The primary outcome was the incremental cost-effectiveness ratio (ICER), which represent the incremental cost per quality-adjusted life-year (QALY) obtained. One-way deterministic sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA) were performed to assess the robustness of model findings. RESULTS: Alendronate was dominated by denosumab-to-alendronate and zoledronate at all ages examined, indicating that the costs of the two drugs were lower, but QALYs was greater. However, teriparatide-to-alendronate yielded an ICER of $76,432.07/ QALY, compared with alendronate at age 65, which exceeded the pre-determined willingness-to-pay threshold of $37,653/ QALY. The results were similar at other ages. The DSA showed that the most sensitive parameters were drug efficacy for vertebral and wrist fractures, the relative risk of vertebral fractures, and the persistence of the drugs. The PSA showed that zoledronate had a 100% probability of being the most cost-effective treatment, with a willingness-to-pay threshold of $37,653/ QALY. CONCLUSION: Stratified treatment based on very high fracture risk is more cost-effective than conventional pills in mainland China. Among the stratified treatments, zoledronate is the optimal option.

Prediction of Fatty Liver Disease in a Chinese Population Using Machine-Learning Algorithms.

BACKGROUND: Fatty liver disease (FLD) is an important risk factor for liver cancer and cardiovascular disease and can lead to significant social and economic burden. However, there is currently no nationwide epidemiological survey for FLD in China, making early FLD screening crucial for the Chinese population. Unfortunately, liver biopsy and abdominal ultrasound, the preferred methods for FLD diagnosis, are not practical for primary medical institutions. Therefore, the aim of this study was to develop machine learning (ML) models for screening individuals at high risk of FLD, and to provide a new perspective on early FLD diagnosis. METHODS: This study included a total of 30,574 individuals between the ages of 18 and 70 who completed abdominal ultrasound and the related clinical examinations. Among them, 3474 individuals were diagnosed with FLD by abdominal ultrasound. We used 11 indicators to build eight classification models to predict FLD. The model prediction ability was evaluated by the area under the curve, sensitivity, specificity, positive predictive value, negative predictive value, and kappa value. Feature importance analysis was assessed by Shapley value or root mean square error loss after permutations. RESULTS: Among the eight ML models, the prediction accuracy of the extreme gradient boosting (XGBoost) model was highest at 89.77%. By feature importance analysis, we found that the body mass index, triglyceride, and alanine aminotransferase play important roles in FLD prediction. CONCLUSION: XGBoost improves the efficiency and cost of large-scale FLD screening.

Comparison of the predictive value of anthropometric indicators for the risk of benign prostatic hyperplasia in southern China.

This study aimed to compare the predictive value of six selected anthropometric indicators for benign prostatic hyperplasia (BPH). Males over 50 years of age who underwent health examinations at the Health Management Center of the Second Xiangya Hospital, Central South University (Changsha, China) from June to December 2020 were enrolled in this study. The characteristic data were collected, including basic anthropometric indices, lipid parameters, six anthropometric indicators, prostate-specific antigen, and total prostate volume. The odds ratios (ORs) with 95% confidence intervals (95% CIs) for all anthropometric parameters and BPH were calculated using binary logistic regression. To assess the diagnostic capability of each indicator for BPH and identify the appropriate cutoff values, receiver operating characteristic (ROC) curves and the related areas under the curves (AUCs) were utilized. All six indicators had diagnostic value for BPH (all P ≤ 0.001). The visceral adiposity index (VAI; AUC: 0.797, 95% CI: 0.759-0.834) had the highest AUC and therefore the highest diagnostic value. This was followed by the cardiometabolic index (CMI; AUC: 0.792, 95% CI: 0.753-0.831), lipid accumulation product (LAP; AUC: 0.766, 95% CI: 0.723-0.809), waist-to-hip ratio (WHR; AUC: 0.660, 95% CI: 0.609-0.712), waist-to-height ratio (WHtR; AUC: 0.639, 95% CI: 0.587-0.691), and body mass index (BMI; AUC: 0.592, 95% CI: 0.540-0.643). The sensitivity of CMI was the highest (92.1%), and WHtR had the highest specificity of 94.1%. CMI consistently showed the highest OR in the binary logistic regression analysis. BMI, WHtR, WHR, VAI, CMI, and LAP all influence the occurrence of BPH in middle-aged and older men (all P ≤ 0.001), and CMI is the best predictor of BPH.

Clinical value of lymphocyte count in autoimmune diabetic nephropathy. / æ·‹å·´ç»†èƒžè®¡æ•°åœ¨è‡ªèº«å ç–«æ€§ç³–å°¿ç— è‚¾ç— ä¸­çš„ä¸´åºŠä»·å€¼ï¼ˆè‹±æ–‡ï¼‰.

OBJECTIVES: In recent years, the prevalence of diabetic nephropathy (DN) has increased significantly. An increasing number of studies have shown that lymphocyte-associated inflammatory responses play a role in DN. This study aims to investigate the relationship between lymphocytes and DN in patients with autoimmune diabetes. METHODS: The clinical data of 226 patients with Type 1 diabetes (T1D) and 79 patients with latent autoimmune diabetes in adults (LADA) were retrospectively studied and stratified according to the urinary albumin to creatinine ratio (ACR). Risk factors associated with DN were analyzed using correlation analysis and logistic regression. RESULTS: In T1D and LADA patients, systolic blood pressure (SBP), uric acid duration, and diabetes duration in patients with normoalbuminuria were lower or shorter than those in patients with macroalbuminuria (P<0.05). The lymphocyte count of T1D patients was significantly higher than that in LADA patients (P<0.05), while the neutrophil to lymphocyte ratio (NLR) of T1D patients was significantly lower than that in LADA patients (P<0.05). The lymphocyte count in the T1D patients with normoalbuminuria was lower than that those with macroalbuminuria (P<0.05). The NLR was lower in the T1D patients with macroalbuminuria than those with microalbuminuria and normoproteinuria (all P<0.01). Based on logistic regression analysis, lymphocytes were independently associated with DN in T1D after adjusting for various known risk factors such as course of disease, age, gender, dyslipidemia, hypertension, and smoking status. Analysis of the receiver operating characteristic curve of subjects predicting lymphocytes in normoalbuminuria showed that the area under the curve was 0.601 (95% CI 0.510 to 0.693, P=0.039), and when the cutoff value of lymphocytes was 2.332, the sensitivity was 37.0%, and the specificity was 82.5%. CONCLUSIONS: Lymphocyte counts in autoimmune diabetic patients are closely associated with DN, suggesting that lymphocyte-mediated inflammation may be involved in the pathogenesis of DN in autoimmune diabetic patients. This study provides a possible perspective for using lymphocytes as a potential biomarker for the early identification of individuals at risk for DN and potential therapeutic targets for DN.

Development of a Nomogram for Predicting Very Low Bone Mineral Density (T-Scores <-3) in the Chinese Population.

PURPOSE: Fragility fractures, the most serious complication of osteoporosis, affect life quality and increase medical expenses and economic burden. Strategies to identify populations with very low bone mineral density (T-scores <-3), indicating very high fracture risk according to the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE), are necessary to achieve acceptable fracture risk levels. In this study, the characteristics of persons with T-scores <-3 were analyzed in the Chinese population to identify risk factors and develop a nomogram for very low bone mineral density (T-scores <-3) identification. MATERIALS AND METHODS: We conducted a cross-sectional study using the datasets of the Health Improvement Program of Bone (HOPE), with 602 men aged ≥50 years and 482 postmenopausal women. Bone mineral density (BMD) was measured using dual energy X-ray absorptiometry (DXA). Data on clinical risk factors, including age, sex, weight, height, previous fracture, parental hip fracture history, smoking, alcohol intake >3 units/day, glucocorticoid use, rheumatoid arthritis, and secondary osteoporosis were collected. A multivariate logistic regression to evaluate the relationship between the clinical risk factors and very low BMD (T-scores <-3) was conducted. Parameter estimates of the final model were then used to construct a nomogram. RESULTS: Sixty-three of 1084 participants (5.8%) had BMD T-score <-3. In multivariable regression analysis, age (odds ratio [OR] = 1.068, 95% confidence interval [CI]: 1.037-1.099) and weight (OR = 0.863, 95% CI: 0.830-0.897) were significant factors that were associated with very low BMD (T-scores <-3). These variables were the factors considered in developing the nomogram. The area under the receiver operating characteristic (ROC) curve for the model was 0.861. The cut-off value of the ROC curve was 0.080. CONCLUSION: The nomogram can effectively assist clinicians to identify persons with very low BMD (T-scores <-3) and very high fracture risk in the Chinese population.

[Large-scale observation of age-related hearing impairment in physical examination population].

Objective:To investigate the current situation of hearing and the changing trend of hearing loss in all age groups in Hunan Province, and to explore the incidence of age-related hearing impairment and the feasibility of early screening in aging people. Method:A total of 13 681 subjects were divided into different age groups of 31-40 years old, 41-50 years old, 51-60 years old, 61-70 years old, 71-80 years old, and >80 years old. The average value of speech frequency hearing threshold （0.5, 1.0 and 2.0 kHz frequency） was calculated as an average hearing threshold. 4.0 and 8.0 kHz were high frequency sounds, hearing threshold > 25 dB at 4.0 and 8.0 kHz is the high-frequency pure-tone hearing loss. Result:The proportion of hearing loss was the lowest in the 31-40 years old group （6.8%）, whereas the proportion of hearing loss was the highest in the >80-year-old group （91.6%）. The proportion and degree of hearing loss increased with the increase of age （P<0.05）; the proportion of people with normal speech frequency threshold but with the high-frequency pure-tone hearing loss also increased with the increase of age, the difference between the groups was statistically significant （P<0.05）; the proportion of the speech frequency hearing loss was significantly higher in >60 years old group than that of the 31-60 years old group, and the difference was statistically significant （P<0.05）. Conclusion:The proportion and degree of hearing loss in adult populations in Hunan Province significantly increased with age; hearing loss show up in the early age of the elderly; people with normal speech frequency hearing threshold should also routinely perform the high-frequency hearing test; speech frequency and high-frequency pure-tone hearing testing could be used in early detection of pre-sensual hearing loss, and its extent of routine hearing impairment screening will facilitate early intervention.

Use of antimicrobial peptides as a feed additive for juvenile goats.

Although antimicrobial peptides (AMPs) have been used as feed additives, only a few studies have examined their use in ruminants. In this study, we evaluated the use of AMPs(recombinant swine defensin and a fly antibacterial peptide were mixed by 1:1) as a medicated feed additive for juvenile goats. Dietary treatments included control groups (group I: 300 g concentrate; group III: 600 g concentrate), and AMP-supplemented groups (group II: 300 g concentrate + 3.0 g AMPs; group IV: 600 g concentrate + 3.0 g AMPs). AMP-treated groups exhibited an increase in bacterial genera, including Fibrobacter, Anaerovibrio, and Succiniclasticum, and the ciliate genus Ophryoscolex; as well a reduction in bacterial genera, such as Selenomonas, Succinivibrio, and Treponema, and the ciliate genera Polyplastron, Entodinium, and Isotricha. The changes in Fibrobacter, Anaerovibrio, Ophryoscolex, Polyplastron, Entodinium, and Isotricha were related to the concentrate. AMP treatment led to increased body weight, average daily weight gain, enzymatic activity (pectinase, xylanase, and lipase), especially in the normal concentrate group, and influence on ruminal fermentation function. In addition, goats treated with AMPs had higher rumen microorganism diversity indices than the control groups. Our results demonstrate that AMPs can be utilized as feed additives for juvenile goats.