Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

OBJECTIVE: The aim of this study is to explore the clinical efficacy and safety of endocrinotherapy combined with Shenqi Pills on hormone-sensitive prostate cancer (HSPC). METHODS: Eighty patients who were diagnosed with HSPC and renal-yang deficiency at the First Affiliated Hospital of Hunan University of Traditional Chinese Medicine and the Hospital of Traditional Chinese Medicine of Mayang Miao Autonomous County from 1st April 2021 to 30th April 2024 were randomly divided into 2 groups. The patients in the control group were treated with androgen deprivation therapy (ADT). And the patients in treatment group were treated with Shenqi Pills orally on the basis of the control group. The baseline data of the two groups were analyzed. After 36 months of treatment, the differences between the two groups were compared in terms of overall survival (OS), prostate-specific antigen (PSA) level, PSA response rate, Functional Assessment Scale for Prostate Cancer Therapy (FACT-P), Chinese medicine evidence scores, testosterone level and safety. RESULTS: A total of 80 study subjects were included in this study, including 42 cases in the treatment group and 38 cases in the control group. There was no statistical difference in the baseline data between the two groups before treatment (P>0.05). At the end of the observation period, a statistically significant difference in OS was found in the treatment group compared to the control group in the subgroup of patients with a disease duration ranged of 0-6 months (P<0.05). There was no statistically significant difference in PSA levels in the treatment group at 3 months (P>0.05). And the differences in the proportion of PSA50 (98.1% vs 91.4%), PSA90 (92.9% vs 84.6%) and the proportion of decrease in PSA (56.7% vs 33.8%) in the treatment group were found compared to those in the control group after 6 months of tre atment. After 12 months of treatment, the scores of FACT-4 and renal-yang deficiency in the treatment group were (95.28±7.93) and (15.73±5.70) respectively, compared to the scores in the control group (［85.46±10.12］ and ［18.20±4.27］ (P<0.05). However, there was no significant difference in serum testosterone (［0.60±0.24］ nmol/L vs ［1.09±2.10］ nmol/L) between the two groups (P>0.05). After 24 months of treatment, there were significant differences in in the FACT-4 total score (［97.95±7.54］ vs ［80.33±8.58］), renal-yang deficiency syndrome score (［14.64±5.15］ vs ［24.94±8.75］) between the treatment group and the control group (P<0.05). However, there was no significant difference in serum testosterone ( ［0.73±1.01］ nmol/L vs ［0.59±0.25］ nmol/L) between the two groups (P> 0.05). Better therapeutic results were showed in the treatment group in terms of total FACT-P score, physical situation score, social and family situation score, emotional state score, functional state score, additional score and renal-yang deficiency symptom score (P<0.05). After treatment, there was no serious adverse reaction in the course of treatment, and no obvious abnormality was found in the liver and kidney function of the patients from two groups. CONCLUSION Endocrinotherapy combined with Shenqi Pills is safe and effective in HSPC and can reduce the risk of death in HSPC patients, and the earlier the intervention, the longer the overall survival of the patients. In addition, this treatment regimen can increase the PSA response rate, improve patients' quality of life, and reduce the renal-yang deficiency syndrome score without the risk of elevating serum testosterone levels.
Humans ; Male ; Drugs, Chinese Herbal/therapeutic use* ; Prostatic Neoplasms/drug therapy* ; Androgen Antagonists/therapeutic use* ; Prostate-Specific Antigen/blood* ; Aged ; Middle Aged ; Treatment Outcome ; Testosterone

OBJECTIVE: To investigate the effect of zedoarondiol on neovascularization of atherosclerotic (AS) plaque by exosomes experiment. METHODS: ApoE^-/- mice were fed with high-fat diet to establish AS model and treated with high- and low-dose (10, 5 mg/kg daily) of zedoarondiol, respectively. After 14 weeks, the expressions of anti-angiogenic protein thrombospondin 1 (THBS-1) and its receptor CD36 in plaques, as well as platelet activation rate and exosome-derived miR-let-7a were detected. Then, zedoarondiol was used to intervene in platelets in vitro, and miR-let-7a was detected in platelet-derived exosomes (Pexo). Finally, human umbilical vein endothelial cells (HUVECs) were transfected with miR-let-7a mimics and treated with Pexo to observe the effect of miR-let-7a in Pexo on tube formation. RESULTS: Animal experiments showed that after treating with zedoarondiol, the neovascularization density in plaques of AS mice was significantly reduced, THBS-1 and CD36 increased, the platelet activation rate was markedly reduced, and the miR-let-7a level in Pexo was reduced (P<0.01). In vitro experiments, the platelet activation rate and miR-let-7a levels in Pexo were significantly reduced after zedoarondiol's intervention. Cell experiments showed that after Pexo's intervention, the tube length increased, and the transfection of miR-let-7a minics further increased the tube length of cells, while reducing the expressions of THBS-1 and CD36. CONCLUSION Zedoarondiol has the effect of inhibiting neovascularization within plaque in AS mice, and its mechanism may be potentially related to inhibiting platelet activation and reducing the Pexo-derived miRNA-let-7a level.
Animals ; MicroRNAs/genetics* ; Exosomes/drug effects* ; Plaque, Atherosclerotic/genetics* ; Neovascularization, Pathologic/genetics* ; Human Umbilical Vein Endothelial Cells/metabolism* ; Humans ; Blood Platelets/drug effects* ; Apolipoproteins E/deficiency* ; Thrombospondin 1/metabolism* ; CD36 Antigens/metabolism* ; Platelet Activation/drug effects* ; Male ; Mice ; Mice, Inbred C57BL

Receptor-interacting protein kinase 1 (RIPK1) plays an essential role in regulating the necroptosis and apoptosis in cerebral ischemia-reperfusion (I/R) injury. However, the regulation of RIPK1 kinase activity after cerebral I/R injury remains largely unknown. In this study, we found the downregulation of protein arginine methyltransferase 1 (PRMT1) was induced by cerebral I/R injury, which negatively correlated with the activation of RIPK1. Mechanistically, we proved that PRMT1 directly interacted with RIPK1 and catalyzed its asymmetric dimethylarginine, which then blocked RIPK1 homodimerization and suppressed its kinase activity. Moreover, pharmacological inhibition or genetic ablation of PRMT1 aggravated I/R injury by promoting RIPK1-mediated necroptosis and apoptosis, while PRMT1 overexpression protected against I/R injury by suppressing RIPK1 activation. Our findings revealed the molecular regulation of RIPK1 activation and demonstrated PRMT1 would be a potential therapeutic target for the treatment of ischemic stroke.

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

The plant F-box protein more axillary growth 2 (MAX2) is a key factor in the signal transduction of strigolactones (SLs) and karrinkins (KARs). As the main component of the SKP1-CUL1-FBX (SCF) complex ubiquitin ligase E3, MAX2 is responsible for specifically recognizing the target proteins, suppressor of MAX2 1/SMAX1-like proteins (SMAX1/SMXLs), which would be degraded after ubiquitination. It can thereby regulate plant morphogenesis and stress responses. There exist homologous genes of MAX2 in the important grain and oil crop soybean (Glycine max). However, its role in plant defense responses has not been investigated yet. Here, GmMAX2b, a homologous gene of MAX2, was successfully cloned from stressed soybean. Bioinformatics analysis revealed that there were two MAX2 homologous genes, GmMAX2a and GmMAX2b, with a similarity of 96.2% in soybean. Their F-box regions were highly conserved. The sequence alignment and cluster analysis of plant MAX2 homologous proteins basically reflected the evolutionary relationship of plants and also suggested that soybean MAX2 might be a multifunctional protein. Expression analysis showed that plant pathogen infection and salicylic acid treatment induced the expression of GmMAX2b in soybean, which is consistent with that of MAX2 in Arabidopsis. Ectopic expression of GmMAX2b compensated for the susceptibility of Arabidopsis max2-2 mutant to pathogen, indicating that GmMAX2b positively regulated plant disease resistance. In addition, yeast two hybrid technology was used to explore the potential target proteins of GmMAX2b. The results showed that GmMAX2b interacted with SMXL6 and weakly interacted with SMXL2. In summary, GmMAX2b is a positive regulator in plant defense responses, and its expression is induced by pathogen infection and salicylic acid treatment. GmMAX2b might exert its effect through interaction with SMXL6 and SMXL2. This study expands the theoretical exploration of soybean disease resistant F-box and provides a scientific basis for future soybean disease resistant breeding.
Glycine max/metabolism* ; Disease Resistance/genetics* ; Plant Diseases/immunology* ; Plant Proteins/genetics* ; Cloning, Molecular ; Gene Expression Regulation, Plant ; F-Box Proteins/genetics* ; Arabidopsis/genetics* ; Phylogeny

Due to the difference between the system of weights and measures， and the dosage of clinical prescriptions of traditional Chinese medicine in various historical periods， the dosage and conversion standard of prescriptions in past dynasties are different. Therefore， when discounting the dosage of famous classical formulas， the principles of inheriting the essence， making the past serve the present， linking the past and the present， and forming a consensus should be followed， firstly， the dosage of the prescription was converted according to the weights and measures system of the past dynasties. If the converted dosage significantly exceeds the provisions of the 2020 edition of Chinese Pharmacopoeia， then on the premise of ensuring that the proportion of the original prescription drug dosage remains unchanged， the conversion shall be based on expert consensus and drug safety evaluation. For drugs measured in non-standard units， a conversion range is provided based on comprehensive literature analysis and physical measurements. For the conversion of service volume， the original text was used as the basis for the conversion with reference to the measurement standards of different eras. If the original dosage is not clear， the converted dosage will be determined based on the historical evolution of the formula， referring to relevant ancient books， and combining modern applications. Eventually， the converting standard for famous classical formulas was determined as follows：during the Han and Tang dynasties， one Liang（两） was equivalent to 13.8 g and one Sheng（升） was equivalent to 200 mL， in the Tang dynasty， one Fen（分） was equivalent to 3.45 g， during the Song， Jin and Yuan dynasties， one Qian（钱） was equivalent to 4.13 g and one Zhan（盏） was equivalent to 300 mL， during the Ming and Qing dynasties， one Qian（钱） was equivalent to 3.73 g， and one Bei（杯） and one Zhong（盅） were equivalent to 200 mL. For drugs recorded in non-standard units of measurement， it is necessary to conduct actual measurements to determine their conversion standards based on comprehensive analysis to determine their origin. If necessary， different records of the dosage of drugs with the same or similar efficacy and indications in medical books of similar ages can be used to assist in determining the conversion standards. The analysis of the principle of dosage conversion for Chinese medicine is helpful for the clinical application and development of famous classical formulas.

Objective To evaluate the characteristics of different antigen-specific T cell immune responses to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)after inoculation with 2 doses of SARS-CoV-2 inactivated vaccine for 12 months.Methods Fifteen healthy adults were enrolled in this study and blood samples collected at 12 months after receiving two doses of SARS-CoV-2 inactivated vaccine.The level and phenotypic characteristics of SARS-CoV-2 antigen-specific T lymphocytes were detected by activation-induced markers(AIM)based on polychromatic flow cytometry.Results After 12 months of inoculation with 2 doses of SARS-CoV-2 inactivated vaccine,more than 90%of adults had detectable Spike and Non-spike antigen-specific CD4+ T cells immune responses(Spike:14/15,P=0.0001;Non-spike:15/15,P<0.0001).80%of adults had detectable Spike and Non-spike antigen-specific CD8+ T cells immune responses(Spike:12/15,P=0.0463;Non-spike:12/15,P=0.0806).Antigen-specific CD4+ T cells induced by SARS-CoV-2 inactivated vaccination after 12 months were composed of predominantly central memory(CM)and effector memory 1(EM1)cells.On the other hand,in terms of helper subsets,antigen-specific CD4+ T cells mainly showed T helper 1/17(Th1/17)and T helper 2(Th2)phenotypes.Conclusions SARS-CoV-2 inactivated vaccination generates durable and extensive antigen-specific CD4+ T cell memory responses,which may be the key factor for the low proportion of severe coronavirus disease 2019(COVID-19)infection in China.

The dosage， dose and administration method of decoctions are important factors affecting the efficacy of prescriptions. By analyzing 35 decoction formulas from the Ming and Qing dynasties within the Catalogue of Ancient Classic Famous Formulas （First Batch）， it was found that the average dosage was equivalent to about 65 g， of which 71.4% （25/35） of the prescriptions had a dosage ≤60 g. And among them， the dosage of decoctions in the Ming dynasty was significantly smaller than that in the Qing dynasty. Considering the characteristics of formulas in Song dynasty， it is believed that decoctions in Ming and Qing dynasties were influenced by the popular use of decoctions during the Song， Jin， and Yuan dynasties. Some decoctions recorded a dosage of one dose instead of one day， which was more evident in the Ming dynasty. However， by the Qing dynasty， the usage of prescriptions with a dosage of one day gradually became more common. Therefore， in the practical research and application of classic famous formulas from the Ming and Qing dynasties， it is advised to pay attention to the difference between the dosage， one dose and the daily dosage. It is necessary to determine whether to double the dosage of the original formula based on the actual use， in order to ensure the clinical efficacy.

Objective To observe the value of nomogram model based on clinical and ultrasonic characteristics for diagnosing lymphoma.Methods Data of 176 patients with suspected lymphoma due to enlarged superficial lymph nodes were retrospective analyzed.The patients were divided into lymphoma group(n=90,invasive subgroup[n=40]and non-invasive subgroup[n=50])or non-lymphoma group(n=86)based on pathological results.Clinical and ultrasonic data were compared between groups and subgroups.Multivariate logistic regression was used to screen the independent risk factors of lymphoma,and then a nomogram was constructed.Receiver operating characteristic curves were drawn to evaluate the efficacy of conventional ultrasound,conventional contrast-enhanced ultrasound(C-CEUS),high-frame-rate contrast-enhanced ultrasound(H-CEUS)and nomogram for diagnosing lymphoma.Results Multivariate logistic regression analysis revealed that age＞59 years,cortical stripe/reticular hyperecho of lymph nodes and"centrifugal firework"enhancement pattern showed with H-CEUS were all independent risk factors of lymphoma(all P＜0.05).Taken 59 years as the best cut-off value of patients'age,the sensitivity,specificity,accuracy and the area under the curve(AUC)for diagnosing lymphoma was 67.78%,58.10%,63.06%and 0.630,respectively.The sensitivity,specificity,accuracy and AUC of cortical stripe/reticular hyperecho of lymph nodes for diagnosing lymphoma was 73.33%,58.10%,65.91%and 0.657,respectively,while of"centrifugal firework"pattern enhancement in H-CEUS was 77.78%,69.80%,73.86%and 0.738,respectively.AUC of conventional ultrasound,C-CEUS,H-CEUS and nomogram for diagnosing lymphoma was 0.657,0.540,0.738 and 0.844,respectively.Conclusion Nomogram model based on clinical and ultrasonic characteristics had good diagnostic efficacy for lymphoma,and"centrifugal firework"pattern enhancement in H-CEUS could be regarded as the specific characteristic of lymphoma.