From the perspective of "kidney-heart-meridians"， this paper explores the pathogenesis and treatment strategies for sick sinus syndrome （SSS）. The author proposes that the root cause lies in kidney essence deficiency and failure of source qi generation. The key pathogenic mechanisms include qi sinking with cold generation and constrained heart yang. The chronic progression is attributed to impaired transformation of body fluids and blood， leading to stagnation and obstruction of the meridians. Phlegm retention and blood stasis obstructing the heart meridians are considered major factors in disease aggravation. Accordingly， the core treatment principles are to nourish the kidneys and restore source qi， tonify the heart and regulate the meridians. Supplementing qi， lifting sinking， soothing constraint， and promoting yang are employed to halt disease progression， while warming and enriching body fluids and blood aim to harmonize and unblock the meridians to improve prognosis. Strategies such as resolving phlegm， relieving obstruction， activating blood， and dispersing nodules are applied to prevent deterioration. This provides a reference framework for the clinical management of SSS.

Yttrium-90 selective internal radiation therapy (⁹⁰Y-SIRT) is a treatment technique that delivers radioactive microspheres precisely to the arterial vascular bed of neoplasms, utilizing beta radiation to administer a high local dose of radiation to the neoplasm tissues. This technology has demonstrated significant efficacy in patients with unresectable pirmary liver cancers and liver metastases. This article systematically reviews the development history and clinical application status of ⁹⁰Y-SIRT in the treatment of liver cancer, and looks forward to future development directions.

Based on the "Qi-blood-meridians" system， it is proposed that recurrence after radiofrequency ablation （RFA） for arrhythmia originates from damage to the heart and injury to the meridians caused by thermal burns. Disorder of qi movement， blood obstruction and heat constraint are the prerequisites for recurrence， while internal consumption of deficient qi， yin damage and scarce blood are key factors in frequent episodes. Latent pathogen of both phlegm and stasis， along with condensation of pathogenic yin， is the main cause of disease progression. Accordingly， self-made Tong Xin Beverage （通心饮） with 18 herbs is used throughout the postoperative intervention process to nourish the heart， unblock the meridians， restore vessels in balance of yin and yang. Self-made Qingxin Dingji Decoction （清心定悸汤） can be used to promote qi movement， diffuse stagnation， relieve heat and activate blood circulation so as to facilitate early recovery. Self-made Peiben Yangxin Decoction （培本养心汤） can boost qi and nourish yin， harmonize the ying （营） level and nourish blood， thereby improving long-term prognosis. In addition， Shiwei Wendan Decoction combined （十味温胆汤） with Taoren Honghua Decoction （桃仁红花煎） resolves phlegm， dissipates masses， removes stasis， and softens hardness， which can be used to prevent disease aggravation. These approaches aim to provide ideas and references for clinical practice.

Objective: To investigate the objective characteristics of tongue manifestation in different stages of damp-heat syndrome in diabetic kidney disease (DKD). Methods: A cross-sectional study enrolled 134 patients with DKD G3-5 stages who met the diagnostic criteria for damp-heat syndrome in DKD. The patients were treated at Dongzhimen Hospital, Beijing University of Chinese Medicine, from May 2023 to January 2024. The patients were divided into three groups: DKD G3, DKD G4, and DKD G5 stage, with 53, 33, and 48 patients in each group, respectively. Clinical general data (gender, age, and body mass index) and damp-heat syndrome scores were collected from the patients. The YZAI-02 traditional Chinese medicine (TCM) AI Tongue Image Acquisition Device was used to capture tongue images from these patients. The accompanying AI Open Platform for TCM Tongue Diagnosis of the device was used to analyze and extract tongue manifestation features, including objective data on tongue color, tongue quality, coating color, and coating texture. Clinical data and objective tongue manifestation characteristics were compared among patients with DKD G3-5 based on their DKD damp-heat syndrome status. Results: No statistically significant difference in gender or body mass index was observed among the three patient groups. The DKD G3 stage group had the highest age (P<0.05). The DKD G3 stage group had a lower score for symptoms of poor appetite and anorexia(P<0.05) than the DKD G5 group. No statistically significant difference was observed in damp-heat syndrome scores among the three groups. Compared with the DKD G5 stage group, the DKD G3 stage group showed a decreased proportion of pale color at the tip and edges of the tongue (P<0.05). The DKD G4 stage group exhibited an increased proportion of crimson at the root of the tongue, a decreased proportion of thick white tongue coating at the root, a decreased proportion of pale color at the tip and edges of the tongue, an increased hue value (indicating color tone) of the tongue color in the middle, an increased brightness value (indicating color lightness) of the tongue coating color in the middle, and an increased thickness of the tongue coating (P<0.05). No statistically significant difference was observed in other tongue color proportions, color chroma values, body characteristics, coating color proportions, coating color chroma values, and coating texture characteristics among the three groups. Conclusion Tongue features differ in different stages of DKD damp-heat syndrome in multiple dimensions, enabling the inference that during the DKD G5 stage, the degree of qi and blood deficiency in the kidneys, heart, lungs, liver, gallbladder, spleen, and stomach is prominent. Dampness is more likely to accumulate in the lower jiao, particularly in the kidneys, whereas heat evil in the spleen and stomach is the most severe. These insights provide novel ideas for the clinical treatment of DKD.

Background Under the background of global warming, research on association between ambient temperature and risk of injury is needed. Objective To examine the effect of temperature on injury in Bao'an district, Shenzhen and identify the sensitive population, thereby providing a scientific basis for formulating prevention and control strategies and measures of injury. Methods The injury reports from the Injury Surveillance System and the meteorological data of Bao'an District between 2018 to 2022 were collected. The meteorological data were sourced from the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) land reanalysis data. Based on time-stratified case-crossover design, conditional logistic regression combined with distributed lag nonlinear model was used to evaluate the exposure-response association between ambient temperature and injury. The stratified analyses were further conducted by gender, age, and causes of injury. Results A total of 156205 injury cases were collected from the injury surveillance sentinel hospitals in Bao'an District of Shenzhen from 2018 to 2022, and the median of daily average temperature during the same period was 20.0 ℃. The exposure-response curve showed that the risk of injury was positively correlated with temperature. The linearized analysis revealed that each 1°C increase in temperature was associated with a 1.05% (95%CI: 0.68%, 1.42%) rise in injury risk (ER). Notably, the effect was greater in females (ER=1.31%, 95%CI: 0.67%, 1.94%) than males (ER=0.92%, 95%CI: 0.47%, 1.37%). Among age groups, adults ＞60 years faced the highest risk (ER=1.91%, 95%CI: −0.36%, 4.24%). The top three temperature-associated injury risks were sharp instrument injuries (ER=2.19%, 95%CI: 1.16%, 3.22%), animal injuries (ER=1.71%, 95%CI: 0.86%, 2.56%), and blunt injuries (ER=071%, 95%CI: −0.08%, 1.51%). The impact of temperature on unintentional injuries (ER=1.11%, 95%CI: 0.72%, 1.49%) was higher than that on intentional injuries (ER=0.43%, 95%CI: −0.85%, 1.72%). Severe injuries (ER=2.20%, 95%CI: −3.09%, 7.77%) were more affected by temperature than mild injuries (ER=1.00%, 95%CI: 0.58%, 1.43%) and moderate injuries (ER=1.15%, 95%CI: 0.42%, 1.89%). Conclusion The increase in ambient temperature associates with injury occurrence, and the impact of temperature exhibits obvious heterogeneity among different populations, indicating that targeted intervention measures should be taken for different populations and types of injuries.

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: To explore the relationship between nuclear factor-kappa B subunit 1 (NFKB1) and LIM-homeobox gene 2 (LHX2) polymorphisms and esophageal cancer susceptibility, so as to provide the reference for the prevention and treatment of esophageal cancer. Methods: A total of 100 patients with primary esophageal cancer diagnosed at the Affiliated Tumor Hospital of Xinjiang Medical University from 2019 to 2023 were selected as the case group, and 100 healthy individuals undergoing physical examination during the same period of time were selected as the control group. Demographic information, disease history and lifestyle data were collected through questionnaire surveys. The single nucleotide polymorphisms at the rs28362491 and rs4648068 loci of NFKB1 gene as well as rs10760310 and rs10121751 loci of LHX2 gene were detected using multiplex high-temperature ligase detection reaction technology. The relationship between these loci and esophageal cancer susceptibility were analyzed using a multivariable conditional logistic regression, linkage disequilibrium and haplotype analysis. The impact of the interaction between the above-mentioned loci and environmental factors on esophageal cancer susceptibility using the generalized multifactor dimensionality reduction (GMDR) method. Results: The case group comprised 73 males and 27 females, with a mean age of (64.02±8.90) years. The control group included 73 males and 27 females, with a mean age of (64.54±9.43) years. The genotype distributions of rs28362491, rs4648068, rs10760310 and rs10121751, loci in both groups conformed to Hardy-Weinberg equilibrium (all P>0.05). Multivariable conditional logistic regression analysis showed that rs10760310 and rs10121751 loci of LHX2 gene were associated with the esophageal cancer susceptibility (both P<0.05). The overdominant model of rs10760310 loci of LHX2 gene had the lowest Akaike information criterion value (OR=0.22, 95%CI: 0.10-0.47). GAA haplotypes at rs4648068, rs10760310 and rs10121751 loci were associated with a lower risk of esophageal cancer susceptibility (OR=0.26, 95%CI: 0.13-0.50). GMDR analysis revealed a statistically significant interaction between rs10760310 loci and smoking on esophageal cancer susceptibility (P<0.05, cross-validation consistency coefficient: 10/10). Conclusion The rs10760310 and rs10121751 loci polymorphisms of LHX2 gene may be associated with esophageal cancer susceptibility, and there is an interaction between rs10760310 loci and smoking on the esophageal cancer susceptibility.

As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb., 2020, and April, 2020 (Wuhan, China) participated in this observational study. All patients received standard supportive care protocols, with a subset of 81 also receiving TCM as an adjunct treatment. Clinical characteristics during the treatment period and the clinical outcome of each patient were closely monitored and analysed. Our findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group (16 of 81 vs 24 of 29; 0.3 vs 2.3 person/month). In the adjusted Cox proportional hazards models, TCM treatment was associated with improved survival odds (P < 0.001). Furthermore, the analysis also revealed that TCM treatment could partially mitigate inflammatory responses, as evidenced by the reduced levels of proinflammatory cytokines, and contribute to the recovery of multiple organic functions, thereby potentially increasing the survival rate of critically ill COVID-19 patients.
Humans ; COVID-19 ; Medicine, Chinese Traditional ; SARS-CoV-2 ; Critical Illness ; Treatment Outcome

Abstract: To investigate the in vitro release, in vivo pharmacokinetics, and the in vitro-in vivo correlation of progesterone suspension injection, self-made progesterone suspension injection was taken as an example. The in vitro release curves of three different particle sizes of progesterone suspension injections were measured using paddle method and dialysis bag method. The in vivo pharmacokinetic characteristics of self-made progesterone suspension injection was studied on SD rats. The plasma concentration of self-made progesterone preparation was detected after intramuscular injection, and correlated with the in vitro release profiles obtained by the dialysis bag method after processing by Wagner-Nelson method. The results showed that when the in vitro release of three different particle sizes of progesterone suspension injections was measured by the paddle method, more than 85% was rapidly released within 20 min, while 85% cumulative release was reached at 40 h, 84 h and 120 h by dialysis bag method, respectively. The release rate obtained by the dialysis bag method was basically consistent with the in vivo release trend, with a correlation coefficient of >0.95, indicating a strong in vivo and in vitro correlation. This study provides some reference for the establishment of the in vitro and in vivo correlation of long-acting suspension injection.

Oral diseases concern almost every individual and are a serious health risk to the popula-tion.The restorative treatment of tooth and jaw defects is an important means to achieve oral function and support the appearance of the contour.Based on the principle of"learning from the nature",Deng Xu-liang's group of Peking University School and Hospital of Stomatology has proposed a new concept of"microstructural biomimetic design and tissue adaptation of tooth/jaw materials"to address the worldwide problems of difficulty in treating dentine hypersensitivity,poor prognosis of restoration of tooth defects,and vertical bone augmentation of alveolar bone after tooth loss.The group has broken through the bottle-neck of multi-stage biomimetic technology from the design of microscopic features to the enhancement of macroscopic effects,and invented key technologies such as crystalline/amorphous multi-level assembly,ion-transportation blocking,and multi-physical properties of the micro-environment reconstruction,etc.The group also pioneered the cationic-hydrogel desensitizer,digital stump and core integrated restora-tions,and developed new crown and bridge restorative materials,gradient functionalisation guided tissue regeneration membrane,and electrically responsive alveolar bone augmentation restorative membranes,etc.These products have established new clinical strategies for tooth/jaw defect repair and achieved inno-vative results.In conclusion,the research results of our group have strongly supported the theoretical im-provement of stomatology,developed the technical system of oral hard tissue restoration,innovated the clinical treatment strategy,and led the progress of the stomatology industry.