[Incidence of comorbid ED with LUTS and its risk factors in patients with BPH].

OBJECTIVE: To investigate the incidence of comorbid ED with lower urinary tract symptoms (LUTS) and its risk factors in BPH patients. METHODS: Based on inclusion and exclusion criteria, we selected BPH patients visiting the outpatient department of the Second Xiangya Hospital of Central South University from January 2020 to January 2023. We collected the general and clinical data from the patients, including age, height, body weight, abdominal circumference, hip circumference, blood pressure, blood routine, liver function, kidney function, blood lipids and fasting blood glucose, obtained their IPSS, quality of life (QOL) scores, and IIEF-5 scores by questionnaire investigation, and performed data processing and analysis with the SPSS 22.0 software. RESULTS: The incidence rate of comorbid ED with LUTS in the BPH patients rose with the increase of age, 36.46% in the 45－49-year group, 43.72% in the 50－54-year group, 53.66% in the 55－59-year group, 69.23% in the 60－64-year group, and 78.74% in the 65－70-year group. The lipid accumulation product (LAP), visceral adiposity index (VAI), triglycerides and glucose (TyG), hepatic steatosis index (HSI), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C) were correlated positively with IPSS scores and negatively with IIEF-5 scores, while LDL-C and total cholesterol (TC) negatively with IPSS scores and positively with IIEF-5 scores. CONCLUSION: The incidence of comorbid ED with LUTS in BPH patients increases with age. The risk factors for this comorbidity include hypertension, dyslipidemia, diabetes, BMI, and lifestyle, and the risk of the condition can be effectively assessed by LAP, VAI, TYG, HSI, BMI, WHtR, WHR, TG and HDL-C.

Insights into the defensive roles of lncRNAs during Mycoplasma pneumoniae infection.

Mycoplasma pneumoniae causes respiratory tract infections, affecting both children and adults, with varying degrees of severity ranging from mild to life-threatening. In recent years, a new class of regulatory RNAs called long non-coding RNAs (lncRNAs) has been discovered to play crucial roles in regulating gene expression in the host. Research on lncRNAs has greatly expanded our understanding of cellular functions involving RNAs, and it has significantly increased the range of functions of lncRNAs. In lung cancer, transcripts associated with lncRNAs have been identified as regulators of airway and lung inflammation in a process involving protein complexes. An excessive immune response and antibacterial immunity are closely linked to the pathogenesis of M. pneumoniae. The relationship between lncRNAs and M. pneumoniae infection largely involves lncRNAs that participate in antibacterial immunity. This comprehensive review aimed to examine the dysregulation of lncRNAs during M. pneumoniae infection, highlighting the latest advancements in our understanding of the biological functions and molecular mechanisms of lncRNAs in the context of M. pneumoniae infection and indicating avenues for investigating lncRNAs-related therapeutic targets.

Salvia miltiorrhiza suppresses cardiomyocyte ferroptosis after myocardial infarction by activating Nrf2 signaling.

ETHNOPHARMACOLOGICAL RELEVANCE: Ferroptosis, a recently identified non-apoptotic form of cell death reliant on iron, is distinguished by an escalation in lipid reactive oxygen species (ROS) that are iron-dependent. This phenomenon has a strong correlation with irregularities in iron metabolism and lipid peroxidation. Salvia miltiorrhiza Bunge (DS), a medicinal herb frequently utilized in China, is highly esteemed for its therapeutic effectiveness in enhancing blood circulation and ameliorating blood stasis, particularly during the treatment of cardiovascular diseases (CVDs). Numerous pharmacological studies have identified that DS manifests antioxidative stress effects as well as inhibits lipid peroxidation. However, ambiguity persists regarding the potential of DS to impede ferroptosis in cardiomyocytes and subsequently improve myocardial damage post-myocardial infarction (MI). AIM OF THE STUDY: The present work focused on investigating whether DS could be used to prevent the ferroptosis of cardiomyocytes and improve post-MI myocardial damage. MATERIALS AND METHODS: In vivo experiments: Through ligation of the left anterior descending coronary artery, we constructed both a wild-type (WT) and NF-E2 p45-related factor 2 knockout (Nrf2-/-) mouse model of MI. Effects of DS and ferrostatin-1 (Fer-1) on post-MI cardiomyocyte ferroptosis were examined through detecting ferroptosis and myocardial damage-related indicators as well as Nrf2 signaling-associated protein levels. In vitro experiments: Erastin was used for stimulating H9C2 cardiomyocytes to construct an in vitro ferroptosis cardiomyocyte model. Effects of DS and Fer-1 on cardiomyocyte ferroptosis were determined based on ferroptosis-related indicators and Nrf2 signaling-associated protein levels. Additionally, inhibitor and activator of Nrf2 were used for confirming the impact of Nrf2 signaling on DS's effect on cardiomyocyte ferroptosis. RESULTS: In vivo: In comparison to the model group, DS suppressed ferroptosis in cardiomyocytes post-MI and ameliorated myocardial damage by inducing Nrf2 signaling-related proteins (Nrf2, xCT, GPX4), diminishing tissue ferrous iron and malondialdehyde (MDA) content. Additionally, it enhanced glutathione (GSH) levels and total superoxide dismutase (SOD) activity, effects that are aligned with those of Fer-1. Moreover, the effect of DS on alleviating cardiomyocyte ferroptosis after MI could be partly inhibited through Nrf2 knockdown. In vitro: Compared with the erastin group, DS inhibited cardiomyocyte ferroptosis by promoting the expression of Nrf2 signaling-related proteins, reducing ferrous iron, ROS, and MDA levels, but increasing GSH content and SOD activity, consistent with the effect of Fer-1. Additionally, Nrf2 inhibition increased erastin-mediated ferroptosis of cardiomyocytes through decreasing Nrf2 signaling-related protein expressions. Co-treatment with DS and Nrf2 activator failed to further enhance the anti-ferroptosis effect of DS. CONCLUSION: MI is accompanied by cardiomyocyte ferroptosis, whose underlying mechanism is probably associated with Nrf2 signaling inhibition. DS possibly suppresses ferroptosis of cardiomyocytes and improves myocardial damage after MI through activating Nrf2 signaling.

Association of gestational metabolic syndrome with the Chinese Healthy Eating Index in mid-pregnancy: a cross-sectional study.

BACKGROUND: This study aims to investigate the relationship between gestational metabolic syndrome (GMS) and the Chinese Healthy Eating Index (CHEI) in mid-pregnancy, and to identify potentially beneficial or high-risk dietary habits. We have developed a mid-pregnancy version of CHEI-2022, adapting the Chinese Healthy Eating Index to align with the food quantity recommendations outlined in the 2022 Dietary Guidelines for Chinese Residents for mid-pregnancy. METHODS: Using the inclusion and exclusion criteria, data from 2411 mid-pregnant individuals were collected through interviews. The Total CHEI score and its component scores were determined through analysis of responses from the food frequency questionnaire. GMS diagnosis involved conducting physical examinations and performing blood biochemical tests. A logistic regression model was employed to analyze the relationship between GMS or related indices and both the total CHEI score and its component scores. RESULTS: The study identified an overall GMS prevalence of 21.65% (522 out of 2411 participants). During mid-pregnancy, participants diagnosed with GMS exhibited higher BMI, FBG, 1hPBG, 2hPBG, TC, TG, HDL, SBP, as well as higher educational levels and daily activity, compared to those without GMS (P < 0.001). After adjusting for potential confounders, participants with higher total CHEI scores (≥ 80) were found to have lower odds of GMS or related indices (P < 0.05). Increasing dietary intake of potatoes, whole grains, beans, dark green vegetables, and fruits, as per the CHEI recommendations, was associated with reduced odds of GMS or related indices (P < 0.05). CONCLUSION: A high-quality diet, as indicated by a total CHEI score of 80 or higher, and increased consumption of specific dietary components, namely potatoes, beans, dark green vegetables, and fruits, were found to effectively reduce the odds of GMS or related indices during mid-pregnancy.

Value of Hcy combined with Framingham score for predicting macrovascular disease in elderly patients with type 2 diabetes.

To analyze the predictive value of homocysteine (Hcy) combined with the Framingham risk score for cardio- and cerebrovascular disease in elderly patients with type 2 diabetes mellitus (T2DM) to provide a reference for clinical treatment. We retrospectively reviewed the clinical data of 1036 elderly patients with T2DM admitted to our hospital between July 2017 and July 2022. The patients were divided into occurrence (n = 438) and control (n = 598) groups based on the incidence of cardio- or cerebrovascular disease. Univariate and multivariate logistic analyses were used to analyze the factors associated with cardio-cerebral small-vessel disease in the elderly patients with T2DM. The predictive value of Hcy combined with the Framingham score for cardio- and cerebrovascular diseases in elderly patients with T2DM was determined using receiver operating characteristic curves. Univariate analysis showed that the occurrence group had significantly higher Framingham score, systolic blood pressure (SBP), total cholesterol (TC), fasting blood glucose (FBG), 2-hour postprandial plasma glucose, Hcy, glycated hemoglobin, smoking history, and disease duration than the control group (all P < .05). Food preferences, sleep duration, physical exercise, high density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol levels were significantly lower in the occurrence group than in the control group (all P < .05). Multivariate logistic analysis showed that smoking history, duration of diabetes, Framingham score, SBP, TC, FBG, HDL-C, 2h postprandial plasma glucose, and Hcy levels were risk factors for cardio- and cerebrovascular disease in elderly patients with T2DM. The area under the curve for Hcy and Framingham scores was 0.741 (95% confidence interval [CI]: 0.635-1.871) and 0.717 (95% CI: 0.601-0.856), respectively. Hcy combined with the Framingham score demonstrated a significantly higher predictive value (0.852, 95% CI: 0.741-0.979). Long smoking history, long diabetes duration, high Framingham score, high SBP, high TC, high FBG, low HDL-C, and high Hcy levels are risk factors for cardio-cerebrovascular disease in elderly patients with T2DM. In addition, Hcy level combined with the Framingham score demonstrated superior predictive power for cardio- and cerebrovascular disease in elderly patients with T2DM.

Real-Time Recognition Method for Key Signals of Rock Fracture Acoustic Emissions Based on Deep Learning.

The characteristics of acoustic emission signals generated in the process of rock deformation and fission contain rich information on internal rock damage. The use of acoustic emissions monitoring technology can analyze and identify the precursor information of rock failure. At present, in the field of acoustic emissions monitoring and the early warning of rock fracture disasters, there is no real-time identification method for a disaster precursor characteristic signal. It is easy to lose information by analyzing the characteristic parameters of traditional acoustic emissions to find signals that serve as precursors to disasters, and analysis has mostly been based on post-analysis, which leads to poor real-time recognition of disaster precursor characteristics and low application levels in the engineering field. Based on this, this paper regards the acoustic emissions signal of rock fracture as a kind of speech signal generated by rock fracture uses this idea of speech recognition for reference alongside spectral analysis (STFT) and Mel frequency analysis to realize the feature extraction of acoustic emissions from rock fracture. In deep learning, based on the VGG16 convolutional neural network and AlexNet convolutional neural network, six intelligent real-time recognition models of rock fracture and key acoustic emission signals were constructed, and the network structure and loss function of traditional VGG16 were optimized. The experimental results show that these six deep-learning models can achieve the real-time intelligent recognition of key signals, and Mel, combined with the improved VGG16, achieved the best performance with 87.68% accuracy and 81.05% recall. Then, by comparing multiple groups of signal recognition models, Mel+VGG-FL proposed in this paper was verified as having a high recognition accuracy and certain recognition efficiency, performing the intelligent real-time recognition of key acoustic emission signals in the process of rock fracture more accurately, which can provide new ideas and methods for related research and the real-time intelligent recognition of rock fracture precursor characteristics.

Ferrostatin-1 suppresses cardiomyocyte ferroptosis after myocardial infarction by activating Nrf2 signaling.

OBJECTIVES: Ferroptosis, a new regulated cell death pathway, plays a crucial part in the development of cardiovascular disease. However, the precise underlying mechanism remains unclear. Therefore, this study aimed to elucidate this. METHODS: Herein, an erastin-induced H9C2 cell ferroptosis in vitro model and a myocardial infarction murine model, which was created by ligating the left anterior descending coronary artery, were established. Ferroptosis-related indicators, myocardial injury-related indicators, and Nrf2 signaling-related proteins expression were analyzed to explore the potential mechanism underlying cardiomyocyte ferroptosis-mediated cardiovascular disease development. RESULTS: We demonstrated that Nrf2 downregulation in myocardial tissue, accompanied by ferroptotic events and changes in xCT and GPX4 expressions, induced cardiomyocyte ferroptosis and myocardial injury after myocardial infarction. These events, including ferroptosis and changes in Nrf2, xCT, and GPX4 expressions, were improved by ferrostatin-1 in vivo and in vitro. Besides, Nrf2 deficiency or inhibition aggravated myocardial infarction-induced cardiomyocyte ferroptosis by decreasing xCT and GPX4 expressions in vivo and in vitro. Moreover, ferrostatin-1 directly targeted Nrf2, as evidenced by surface plasmon resonance analysis. CONCLUSIONS: These results indicated that myocardial infarction is accompanied by cardiomyocyte ferroptosis and that Nrf2 signaling plays a crucial part in regulating cardiomyocyte ferroptosis after myocardial infarction.

Transcriptome analysis of flower colour reveals the correlation between SNP and differential expression genes in Phalaenopsis.

BACKGROUND: Phalaenopsis is an important ornamental plant that has great economic value in the world flower market as one of the most popular flower resources. OBJECTIVE: To investigate the flower colour formation of Phalaenopsis at the transcription level, the genes involved in flower color formation were identified from RNA-seq in this study. METHODS: In this study, white and purple petals of Phalaenopsis were collected and analyzed to obtained (1) differential expression genes (DEGs) between white and purple flower color and (2) the association between single nucleotide polymorphisms (SNP) mutations and DEGs at the transcriptome level. RESULTS: The results indicated that a total of 1,175 DEGs were identified, and 718 and 457 of them were up- and down-regulated genes, respectively. Gene Ontology and pathway enrichment showed that the biosynthesis of the secondary metabolites pathway was key to color formation, and the expression of 12 crucial genes (C4H, CCoAOMT, F3'H, UA3'5'GT, PAL, 4CL, CCR, CAD, CALDH, bglx, SGTase, and E1.11.17) that are involved in the regulation of flower color in Phalaenopsis. CONCLUSION: This study reported the association between the SNP mutations and DEGs for color formation at RNA level, and provides a new insight to further investigate the gene expression and its relationship with genetic variants from RNA-seq data in other species.

Arginine-Glycine-Aspartic Acid-anchored Curcumin-based Nanotherapeutics Inhibit Pyroptosis-induced Cytokine Release Syndrome for In Vivo and In Vitro Sepsis Applications.

AIM: We aimed to design RGD-anchored liposomes encapsulating an antipyroptosis drug that could efficiently target macrophages and relieve the rate of cytokine release syndrome, providing a new strategy for sepsis treatment, especially sepsis-induced acute renal injury. BACKGROUND: Sepsis is a clinical syndrome of life-threatening organ dysfunction caused by host response disorders due to infection. Sepsis has a high incidence and remains one of the leading causes of death worldwide. OBJECTIVE: Macrophage-mediated pyroptosis plays an important role in the occurrence and development of cytokine release syndrome and organ injury caused by sepsis. Curcumin can inhibit inflammasome assembly and slow the progression of pyroptosis by scavenging intracellular reactive oxygen species, but it has poor water solubility and low bioavailability. The emergence of drug-delivery nanosystems has overcome this problem, but there is still a lack of research on how to accurately deliver antipyroptotic drugs to innate immune cells and subsequently hinder pyroptosis. METHODS: We constructed a curcumin-loaded RGD-modified liposome (RGD-lipo/Cur) and demonstrated that RGD-lipo/Cur could effectively target macrophages. RESULTS: In vitro, RGD-lipo/Cur reduced the upregulation of caspase-1, caspase-3, NLRP3, IL-1ß and GSDMD, inhibiting pyroptosis, reducing oxidative stress, and attenuating the proinflammatory cytokine cascade. CONCLUSION: RGD-lipo/Cur was considered to have great potential for sepsis treatment.

Novel INHAT repressor drives glioblastoma growth by promoting ribosomal DNA transcription in glioma stem cells.

BACKGROUND: Cancer cells including cancer stem cells exhibit a higher rate of ribosome biogenesis than normal cells to support rapid cell proliferation in tumors. However, the molecular mechanisms governing the preferential ribosome biogenesis in glioma stem cells (GSCs) remain unclear. In this work, we show that the novel INHAT repressor (NIR) promotes ribosomal DNA (rDNA) transcription to support GSC proliferation and glioblastoma (GBM) growth, suggesting that NIR is a potential therapeutic target for GBM. METHODS: Immunoblotting, immunohistochemical and immunofluorescent analysis were used to determine NIR expression in GSCs and human GBMs. Using shRNA-mediated knockdown, we assessed the role and functional significance of NIR in GSCs and GSC-derived orthotopic GBM xenografts. We further performed mass spectrometry analysis, chromatin immunoprecipitation, and other biochemical assays to define the molecular mechanisms by which NIR promotes GBM progression. RESULTS: Our results show that high expression of NIR predicts poor survival in GBM patients. NIR is enriched in the nucleoli of GSCs in human GBMs. Disrupting NIR markedly suppresses GSC proliferation and tumor growth by inhibiting rDNA transcription and pre-ribosomal RNA synthesis. In mechanistic studies, we find that NIR activates rDNA transcription to promote GSC proliferation by cooperating with Nucleolin (NCL) and Nucleophosmin 1 (NPM1), 2 important nucleolar transcription factors. CONCLUSIONS: Our study uncovers a critical role of NIR-mediated rDNA transcription in the malignant progression of GBM, indicating that targeting this axis may provide a novel therapeutic strategy for GBM.

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.

Differential diagnosis of autism spectrum disorder and global developmental delay based on machine learning and Children Neuropsychological and Behavioral Scale / 中国当代儿科杂志

OBJECTIVES@#To investigate the efficacy and required indicators of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) in the differential diagnosis of autism spectrum disorder (ASD) and global developmental delay (GDD).@*METHODS@#A total of 277 children with ASD and 415 children with GDD, aged 18-48 months, were enrolled as subjects. CNBS-R2016 was used to assess the developmental levels of six domains, i.e., gross motor, fine motor, adaptive ability, language, social behavior, and warning behavior, and a total of 13 indicators on intelligence age and developmental quotient (DQ) were obtained as the input features. Five commonly used machine learning classifiers were used for training to calculate the classification accuracy, sensitivity, and specificity of each classifier.@*RESULTS@#DQ of warning behavior was selected as the first feature in all five classifiers, and the use of this indicator alone had a classification accuracy of 78.90%. When the DQ of warning behavior was used in combination with the intelligence age of warning behavior, gross motor, and language, it had the highest classification accuracy of 86.71%.@*CONCLUSIONS@#Machine learning combined with CNBS-R2016 can effectively distinguish children with ASD from those with GDD. The DQ of warning behavior plays an important role in machine learning, and its combination with other features can improve classification accuracy, providing a basis for the efficient and accurate differential diagnosis of ASD and GDD in clinical practice.

Single-cell RNA sequencing reveals the transcriptomic landscape of kidneys in patients with ischemic acute kidney injury / 中华医学杂志(英文版)

BACKGROUND@#Ischemic acute kidney injury (AKI) is a common syndrome associated with considerable mortality and healthcare costs. Up to now, the underlying pathogenesis of ischemic AKI remains incompletely understood, and specific strategies for early diagnosis and treatment of ischemic AKI are still lacking. Here, this study aimed to define the transcriptomic landscape of AKI patients through single-cell RNA sequencing (scRNA-seq) analysis in kidneys.@*METHODS@#In this study, scRNA-seq technology was applied to kidneys from two ischemic AKI patients, and three human public scRNA-seq datasets were collected as controls. Differentially expressed genes (DEGs) and cell clusters of kidneys were determined. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, as well as the ligand-receptor interaction between cells, were performed. We also validated several DEGs expression in kidneys from human ischemic AKI and ischemia/reperfusion (I/R) injury induced AKI mice through immunohistochemistry staining.@*RESULTS@#15 distinct cell clusters were determined in kidney from subjects of ischemic AKI and control. The injured proximal tubules (PT) displayed a proapoptotic and proinflammatory phenotype. PT cells of ischemic AKI had up-regulation of novel pro-apoptotic genes including USP47 , RASSF4 , EBAG9 , IER3 , SASH1 , SEPTIN7 , and NUB1 , which have not been reported in ischemic AKI previously. Several hub genes were validated in kidneys from human AKI and renal I/R injury mice, respectively. Furthermore, PT highly expressed DEGs enriched in endoplasmic reticulum stress, autophagy, and retinoic acid-inducible gene I (RIG-I) signaling. DEGs overexpressed in other tubular cells were primarily enriched in nucleotide-binding and oligomerization domain (NOD)-like receptor signaling, estrogen signaling, interleukin (IL)-12 signaling, and IL-17 signaling. Overexpressed genes in kidney-resident immune cells including macrophages, natural killer T (NKT) cells, monocytes, and dendritic cells were associated with leukocyte activation, chemotaxis, cell adhesion, and complement activation. In addition, the ligand-receptor interactions analysis revealed prominent communications between macrophages and monocytes with other cells in the process of ischemic AKI.@*CONCLUSION@#Together, this study reveals distinct cell-specific transcriptomic atlas of kidney in ischemic AKI patients, altered signaling pathways, and potential cell-cell crosstalk in the development of AKI. These data reveal new insights into the pathogenesis and potential therapeutic strategies in ischemic AKI.

Current status of diagnosis and treatment of chronic lymphocytic leukemia in China: A national multicenter survey research / 中华血液学杂志

Objective: To understand the current status of diagnosis and treatment of chronic lymphocytic leukemia (CLL) /small lymphocytic lymphoma (SLL) among hematologists, oncologists, and lymphoma physicians from hospitals of different levels in China. Methods: This multicenter questionnaire survey was conducted from March 2021 to July 2021 and included 1,000 eligible physicians. A combination of face-to-face interviews and online questionnaire surveys was used. A standardized questionnaire regarding the composition of patients treated for CLL/SLL, disease diagnosis and prognosis evaluation, concomitant diseases, organ function evaluation, treatment selection, and Bruton tyrosine kinase (BTK) inhibitor was used. Results: ①The interviewed physicians stated that the proportion of male patients treated for CLL/SLL is higher than that of females, and the age is mainly concentrated in 61-70 years old. ②Most of the interviewed physicians conducted tests, such as bone marrow biopsies and immunohistochemistry, for patient diagnosis, in addition to the blood test. ③Only 13.7% of the interviewed physicians fully grasped the initial treatment indications recommended by the existing guidelines. ④In terms of cognition of high-risk prognostic factors, physicians' knowledge of unmutated immunoglobulin heavy-chain variable and 11q- is far inferior to that of TP53 mutation and complex karyotype, which are two high-risk prognostic factors, and only 17.1% of the interviewed physicians fully mastered CLL International Prognostic Index scoring system. ⑤Among the first-line treatment strategy, BTK inhibitors are used for different types of patients, and physicians have formed a certain understanding that BTK inhibitors should be preferentially used in patients with high-risk factors and elderly patients, but the actual use of BTK inhibitors in different types of patients is not high (31.6%-46.0%). ⑥BTK inhibitors at a reduced dose in actual clinical treatment were used by 69.0% of the physicians, and 66.8% of the physicians had interrupted the BTK inhibitor for >12 days in actual clinical treatment. The use of BTK inhibitors is reduced or interrupted mainly because of adverse reactions, such as atrial fibrillation, severe bone marrow suppression, hemorrhage, and pulmonary infection, as well as patients' payment capacity and effective disease progression control. ⑦Some differences were found in the perceptions and behaviors of hematologists and oncologists regarding the prognostic assessment of CLL/SLL, the choice of treatment options, the clinical use of BTK inhibitors, etc. Conclusion: At present, a gap remains between the diagnosis and treatment of CLL/SLL among Chinese physicians compared with the recommendations in the guidelines regarding the diagnostic criteria, treatment indications, prognosis assessment, accompanying disease assessment, treatment strategy selection, and rational BTK inhibitor use, especially the proportion of dose reduction or BTK inhibitor discontinuation due to high adverse events.

Comparison of the predictive value of anthropometric indicators for the risk of benign prostatic hyperplasia in southern China / 亚洲男科学杂志(英文版)

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.

Cardiac Structural and Functional Features in Patients With Type 2 Diabetes Mellitus and Heart Failure With Preserved Ejection Fraction:A Study Based on Propensity Score Matching / 中国医学科学院学报

Objective To investigate the cardiac structural and functional characteristics in the patients with heart failure with preserved ejection fraction (HFpEF) and type 2 diabetes mellitus (T2DM),and predict the factors influencing the characteristics. Methods A total of 783 HFpEF patients diagnosed in the Department of Geriatric Cardiology,the First Hospital of Lanzhou University from April 2009 to December 2020 were enrolled in this study.Echocardiography and tissue Doppler technique were employed to evaluate cardiac structure and function.According to the occurrence of T2DM,the patients were assigned into a HFpEF+T2DM group (n=332) and a HFpEF group (n=451).Propensity score matching (PSM)(in a 1∶1 ratio) was adopted to minimize confounding effect.According to urinary albumin excretion rate (UAER),the HFpEF+T2DM group was further divided into three subgroups with UAER<20 μg/min,of 20-200 μg/min,and>200 μg/min,respectively.The comorbidities,symptoms and signs,and cardiac structure and function were compared among the groups to clarify the features of diabetes related HFpEF.Multivariate linear regression was conducted to probe the relationship of systolic blood pressure,blood glucose,glycosylated hemoglobin,and UARE with cardiac structural and functional impairment. Results The HFpEF+T2DM group had higher prevalence of hypertension (P=0.001) and coronary heart disease (P=0.036),younger age (P=0.020),and larger body mass index (P=0.005) than the HFpEF group,with the median diabetic course of 10 (3,17) years.After PSM,the prevalence of hypertension and coronary heart disease,body mass index,and age had no significant differences between the two groups(all P>0.05).In addition,the HFpEF+T2DM group had higher interventricular septal thickness (P=0.015),left ventricular posterior wall thickness (P=0.040),and left ventricular mass (P=0.012) and lower early diastole velocity of mitral annular septum (P=0.030) and lateral wall (P=0.011) than the HFpEF group.Compared with the HFpEF group,the HFpEF+T2DM group showed increased ratio of early diastolic mitral filling velocity to early diastolic mitral annular velocity (E/e') (P=0.036).Glycosylated hemoglobin was correlated with left ventricular mass (P=0.011),and the natural logarithm of UAER with interventricular septal thickness (P=0.004),left ventricular posterior wall thickness (P=0.006),left ventricular mass (P<0.001),and E/e' ratio (P=0.049). Conclusion The patients with both T2DM and HFpEF have thicker left ventricular wall,larger left ventricular mass,more advanced left ventricular remodeling,severer impaired left ventricular diastolic function,and higher left ventricular filling pressure than the HFpEF patients without T2DM.Elevated blood glucose and diabetic microvascular diseases might play a role in the development of the detrimental structural and functional changes of the heart.

Expression of LRG-1 in mice with hypertensive renal damage and its significance / 中南大学学报(医学版)

OBJECTIVES@#Long-term elevated blood pressure may lead to kidney damage, yet the pathogenesis of hypertensive kidney damage is still unclear. This study aims to explore the role and significance of leucine-rich alpha-2-glycoprotein-1 (LRG-1) in hypertensive renal damage through detecting the levels of LRG-1 in the serum and kidney of mice with hypertensive renal damage and its relationship with related indexes.@*METHODS@#C57BL/6 mice were used in this study and randomly divided into a control group, an angiotensin II (Ang II) group, and an Ang II+irbesartan group. The control group was gavaged with physiological saline. The Ang II group was pumped subcutaneously at a rate of 1.5 mg/(kg·d) for 28 days to establish the hypertensive renal damage model in mice, and then gavaged with equivalent physiological saline. The Ang II+irbesartan group used the same method to establish the hypertensive renal damage model, and then was gavaged with irbesartan. Immunohistochemistry and Western blotting were used to detect the expression of LRG-1 and fibrosis-related indicators (collagen I and fibronectin) in renal tissues. ELISA was used to evaluate the level of serum LRG-1 and inflammatory cytokines in mice. The urinary protein-creatinine ratio and renal function were determined, and correlation analysis was conducted.@*RESULTS@#Compared with the control group, the levels of serum LRG-1, the expression of LRG-1 protein, collagen I, and fibronectin in kidney in the Ang II group were increased (all P<0.01). After treating with irbesartan, renal damage of hypertensive mice was alleviated, while the levels of LRG-1 in serum and kidney were decreased, and the expression of collagen I and fibronectin was down-regulated (all P<0.01). Correlation analysis showed that the level of serum LRG-1 was positively correlated with urinary protein-creatinine ratio, blood urea nitrogen, and blood creatinine level in hypertensive kidney damage mice. Serum level of LRG-1 was also positively correlated with serum inflammatory factors including TNF-α, IL-1β, and IL-6.@*CONCLUSIONS@#Hypertensive renal damage mice display elevated expression of LRG-1 in serum and kidney, and irbesartan can reduce the expression of LRG-1 while alleviating renal damage. The level of serum LRG-1 is positively correlated with the degree of hypertensive renal damage, suggesting that it may participate in the occurrence and development of hypertensive renal damage.

Mst1 silencing alleviates hypertensive myocardial injury associated with the augmentation of microvascular endothelial cell autophagy.

The activation of mammalian ste20­like kinase1 (Mst1) is a crucial event in cardiac disease development. The inhibition of Mst1 has been recently suggested as a potential therapeutic strategy for the treatment of diabetic cardiomyopathy. However, whether silencing Mst1 also protects against hypertensive (HP) myocardial injury, or the mechanisms through which this protection is conferred are not yet fully understood. The present study aimed to explore the role of Mst1 in HP myocardial injury using in vivo and in vitro hypertension (HP) models. Angiotensin II (Ang II) was used to establish HP mouse and cardiac microvascular endothelial cell (CMEC) models. CRISPR/adenovirus vector transfection was used to silence Mst1 in these models. Using echocardiography, hematoxylin and eosin staining, Masson's trichrome staining, the enzyme­linked immunosorbent assay detection of inflammatory factors, the enzyme immunoassay detection of oxidative stress markers, terminal deoxynucleotidyl transferase dUTP nick­end labeling staining, scanning electron microscopy, transmission electron microscopy, as well as immunofluorescence and western blot analysis of the autophagy markers, p62, microtubule­associated proteins 1A/1B light chain 3B and Beclin­1, it was found that Ang II induced HP myocardial injury with impaired cardiac function, increased the expression of inflammatory factors, and elevated oxidative stress in mice. In addition, it was found that Ang II reduced autophagy, enhanced apoptosis, and disrupted endothelial integrity and mitochondrial membrane potential in cultured CMECs. The silencing of Mst1 in both in vivo and in vitro HP models attenuated the HP myocardial injury. On the whole, these findings suggest that Mst1 is a key contributor to HP myocardial injury through the regulation of cardiomyocyte autophagy.

Heparin-binding protein-enhanced quick SOFA score improves mortality prediction in sepsis patients.

Purpose: The Quick Sequential Organ Failure Assessment (qSOFA) score proposed by Sepsis-3 as a sepsis screening tool has shown suboptimal accuracy. Heparin-binding protein (HBP) has been shown to identify early sepsis with high accuracy. Herein, we aim to investigate whether or not HBP improves the model performance of qSOFA. Methods: We conducted a multicenter prospective observational study of 794 adult patients who presented to the emergency department (ED) with presumed sepsis between 2018 and 2019. For each participant, serum HBP levels were measured and the hospital course was followed. The qSOFA score was used as the comparator. The data was split into a training dataset (n = 556) and a validation dataset (n = 238). The primary endpoint was 30-day all-cause mortality. Results: Compared with survivors, non-survivors had significantly higher serum HBP levels (median: 71.5 ng/mL vs 209.5 ng/mL, p < 0.001). Serum level of HBP weakly correlated with qSOFA class (r 2 = 0.240, p < 0.001). Compared with the qSOFA model alone, the addition of admission HBP level to the qSOFA model significantly improved 30-day mortality discrimination (AUC, 0.70 vs. 0.80; P < 0.001), net reclassification improvement [26% (CI, 17-35%); P < 0.001], and integrated discrimination improvement [12% (CI, 9-14%); P < 0.001]. Addition of C-reactive protein (CRP) level or neutrophil-to-lymphocyte ratio (NLR) to qSOFA did not improve its performance. A web-based mortality risk prediction calculator was created to facilitate clinical implementation. Conclusion: This study confirms the value of combining qSOFA and HBP in predicting sepsis mortality. The web calculator provides a user-friendly tool for clinical implementation. Further validation in different patient populations is needed before widespread application of this prediction model.

Corrigendum to "Ginsenoside Ro, an oleanolic saponin of Panax ginseng, exerts anti-inflammatory effect by direct inhibiting toll like receptor 4 signaling pathway" [J Ginseng Res 46 (2022) 156-166].

[This corrects the article DOI: 10.1016/j.jgr.2021.05.011.].