ObjectiveTo evaluate the feasibility of various strength levels of deep learning image reconstruction （DLIR） algorithms for improving non-contrast abdominal CT image quality at ultra-low radiation doses， by comparing ultra-low-dose DLIR images with low-dose filtered back projection （FBP） images. MethodsA prospective collection of 85 patients undergoing non-contrast abdominal CT scans was performed， and a self-controlled study method was employed to conduct low-dose （LD） group and ultra-low-dose （ULD） group scans. The LD group used a noise index of 10 and employed FBP for image reconstruction （LD-FBP group）. The ULD group used a noise index of 30 and employed DLIR at different levels （low， medium， high）， resulting in three subgroups of reconstructed images： ULD-DLIR-L， ULD-DLIR-M， and ULD-DLIR-H. For each group， CT values， standard devia-tion （SD）， signal-to-noise ratio （SNR）， and contrast-to-noise ratio （CNR） were measured and calculated for the liver， spleen， kidneys， aorta， psoas major， and subcutaneous fat. Effective dose （ED） was also recorded. Two radiologists independently performed subjective evaluations of image quality using a 5-point scale. ResultsCompared with the LD-FBP group， the ULD-DLIR-L group showed significantly lower SNR and CNR values in the liver， spleen， kidneys， aorta， and psoas major （P<0.001）， while the ULD-DLIR-H group exhibited significantly higher values （P<0.001）. The difference of SNR and CNR values for the ULD-DLIR-M group showed no statistically significant difference. For subjective evaluation， the scores of the ULD-DLIR-L and ULD-DLIR-M groups were lower than those of the LD-FBP group， while there was no statistically significant difference in scores between the ULD-DLIR-H group and the LD-FBP group. The ED value of the ULD group was approximately 88% lower than that of the LD group. ConclusionCompared with the LD-FBP group， the ULD-DLIR-H group significantly reduces SD values while increasing SNR and CNR values， effectively improving the image quality of non-contrast abdominal CT scans.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

Lung cancer is the most common malignant tumor worldwide, ranking first in both incidence and mortality rates. According to the latest statistics from the International Agency for Research on Cancer (IARC), approximately 2.5 million new cases and around 1.8 million deaths from lung cancer occurred in 2022, placing a tremendous burden on global healthcare systems. The high mortality rate of lung cancer is closely linked to its subtle early symptoms, which often lead to diagnosis at advanced stages. This not only complicates treatment but also results in substantial economic losses. Current treatment options for lung cancer include surgery, radiotherapy, chemotherapy, targeted drug therapy, and immunotherapy. Among these, immunotherapy has emerged as the most groundbreaking advancement in recent years, owing to its unique antitumor mechanisms and impressive clinical benefits. Unlike traditional therapies such as radiotherapy and chemotherapy, immunotherapy activates or enhances the patient’s immune system to recognize and eliminate tumor cells. It offers advantages such as more durable therapeutic effects and relatively fewer toxic side effects. The main approaches to lung cancer immunotherapy include immune checkpoint inhibitors, tumor-specific antigen-targeted therapies, adoptive cell therapies, cancer vaccines, and oncolytic virus therapies. Among these, immune checkpoint inhibitors and tumor-specific antigen-targeted therapies have received approval from the U.S. Food and Drug Administration (FDA) for clinical use in lung cancer, significantly improving outcomes for patients with advanced non-small cell lung cancer. Although other immunotherapy strategies are still in clinical trials, they show great potential in improving treatment precision and efficacy. This article systematically reviews the latest research progress in lung cancer immunotherapy, including the development of novel immune checkpoint molecules, optimization of treatment strategies, identification of predictive biomarkers, and findings from recent clinical trials. It also discusses the current challenges in the field and outlines future directions, such as the development of next-generation immunotherapeutic agents, exploration of more effective combination regimens, and the establishment of precise efficacy prediction systems. The aim is to provide a valuable reference for the continued advancement of lung cancer immunotherapy.

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 characterize the epidemiology, antimicrobial susceptibility, and molecular mechanisms of carbapenem-resistant Enterobacterales (CRE) carrying multiple carbapenemase genes in China, and to provide evidence for infection control and antibiotic stewardship.Methods:From 2016 to 2023, 115 CRE isolates harboring at least two carbapenemase genes were collected from 41 hospitals in 18 provinces across China. Species identification, antimicrobial susceptibility testing, and whole-genome sequencing were performed. Multilocus sequence typing (MLST) and capsular typing were conducted using Kleborate, plasmid replicon types were identified with PlasmidFinder, and a core genome phylogenetic tree was constructed.Results:The majority of isolates belonged to Klebsiella spp. (80.0%, 92/115), followed by E. cloacae (8.7%, 10/115) and E. coli (6.1%, 7/115). The isolates were mainly from Hebei, Beijing, Shandong, and Hunan (60.9%, 70/115), and sputum was the predominant specimen (43.5%, 50/115). The most common genotype was bla KPC+bla NDM (73.0%, 84/115), primarily in Klebsiella spp. (79.8%, 67/84), followed by bla NDM+bla IMP (15.7%, 18/115). The prevalent plasmid replicon types were IncFII (77.5%, 86/111), IncFIB (68.5%, 76/111), IncR (51.4%, 57/111), and IncX3 (20.7%, 23/111). Notably, 88.6% (31/35) of ST11-KL64 K. pneumoniae strains co-harbored IncFII, IncFIB, and IncR plasmids simultaneously. Between 2016 and 2022, the dominant subtype among Klebsiella spp. isolates was bla KPC-2+bla NDM-1 (56.2%, 36/64). In 2023, the bla KPC-2+bla NDM-13 subtype (29.5%, 19/64) emerged and exhibited clonal transmission (single nucleotide polymorphism 2?74 bp) in Hebei, Beijing, and Jilin. Susceptibility testing showed widespread resistance to β-lactams (90.2%-100%). Aztreonam-avibactam, tigecycline, and colistin retained high activity, with susceptibility rates of 90.16%-98.36%. Conclusions:In China, the majority of clinical Enterobacteriaceae strains that harbor multiple carbapenemases are Klebsiella spp. co-producing KPC and NDM enzymes. Dissemination is driven by both clonal expansion of ST11-KL64 and horizontal transfer of IncFII, IncFIB, and IncR plasmids. The recent emergence and regional clonal spread of the bla KPC-2+bla NDM-13 genotype underscore the urgent need for strengthened surveillance and containment measures.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the safety of robotic single-site hysterectomy(RSSH)for benign diseases.Methods We retrospectively analyzed data of patients who underwent RSSH or traditional transumbilical laparoendoscopic single-site hysterectomy(LESSH)for benign indications from May 2024 to May 2025.The study was comprised of 24 patients in the RSSH group and 42 patients in the LESSH group.Perioperative indicators were compared between the two groups.Results All the surgeries were successfully completed in both groups without conversion or intraoperative/postoperative blood transfusion.The RSSH group had a longer operation time than the LESSH group[161.5(131.3,179.5)min vs.97.5(76.5,123.3)min,Z=-5.226,P＜0.001].However,there were no significant differences in intraoperative blood loss,pre-postoperative hemoglobin difference,postoperative pain score,maximum postoperative temperature,time to flatus,indwelling catheter duration,or postoperative hospital stay(P＞0.05).Conclusion RSSH for benign diseases has a safety profile comparable to traditional LESSH.

Objective:To analyze the clinical characteristics of anti-melanoma differentiation associated gene 5 (MDA5) antibody-positive juvenile dermatomyositis (JDM) patients.Methods:A retrospective case-control study was conducted. The positive group included 18 children with anti-MDA5 antibody-positive JDM who were admitted to the Department of Rheumatology and Immunology at Capital Center for Children′s Health with Capital Medical University between January 2016 and January 2023. Another 36 children with anti-MDA5 antibody-negative JDM hospitalized during the same period were enrolled as the negative group. Based on the extent of pulmonary involvement and pulmonary CT scores, the MDA5-positive group was further divided into severe pulmonary involvement and non-severe pulmonary involvement subgroups. Chi-square test and Kruskal-Wallis test were used to compare clinical features, laboratory test results between groups.Results:Among the 18 patients in the MDA5-positive group, 7 were male and 11 were female, with an age of onset of 5.0 (2.6, 9.4) years and disease duration of 6.0 (4.0, 9.3) months. The MDA5-negative group included 36 cases (14 male, 22 female), with an age of onset of 4.9 (2.0, 7.0) years and disease duration of 5.0 (1.8, 7.0) months. The MDA5-positive group exhibited significantly higher rates of arthritis, skin ulcers, and interstitial lung disease (ILD), along with elevated serum ferritin (SF) and erythrocyte sedimentation rate levels compared to the MDA5-negative group (9/18 vs. 11% (4/36), 6/18 vs. 3% (1/36), 16/18 vs. 33% (12/36), 327 (141, 518) vs. 131 (68, 257) μg/L, 17.5 (12.5, 26.8) vs. 11.0 (5.0, 13.0) mm/1 h, χ2=7.92, 7.41, 14.84, Z=2.50, 2.87, all P<0.05). Conversely, the MDA5-positive group had lower rates of muscle weakness and lower creatine kinase levels (5/18 vs. 75% (27/36), 58.5 (49.3, 97.5) vs. 225.0 (68.0, 695.5) U/L, χ2=11.08, Z=-2.94, both P<0.05). Severe pulmonary involvement 6 cases and non-severe pulmonary involvement subgroups 12 cases. Among the MDA5-positive patients, those in the severe pulmonary involvement subgroup had an older age at onset and higher rates of muscle weakness as well as hydroxybutyrate dehydrogenase (HBDH), lactate dehydrogenase (LDH), SF, and Krebs von den Lungen-6 (KL-6) compared to the non-severe subgroup (all P<0.05). In the MDA5-positive group, 17 patients improved after treatment with glucocorticoids combined with immunosuppressants, while One died due to rapidly progressive ILD. Conclusions:Anti-MDA5 antibody-positive JDM is characterized by typical skin rashes, a high incidence of arthritis and skin ulcers, relatively mild muscle involvement, but is prone to ILD. Among MDA5-positive patients, those with older age at onset, muscle involvement (manifested as muscle weakness and elevated muscle enzymes (LDH, HBDH)), or significantly elevated KL-6 and SF levels are more likely to develop severe pulmonary complications.

Objective:To investigate the clinical characteristics, imaging features, risk factors, and prognosis of childhood-onset Takayasu arteritis (TAK) with pulmonary artery involvement.Methods:A retrospective cohort study was conducted in 107 pediatric patients who were initially diagnosed with childhood-onset TAK at Department of Rheumatology and Immunology, Capital Center for Children′s Health, Capital Medical Universiy, from January 2010 to December 2024. Clinical data, including demographic information, imaging features, treatment regimens, and prognosis were collected. Patients were divided into with and without pulmonary artery involvement groups. Intergroup comparisons were performed. Multivariate logistic regression was used to identify risk factors for pulmonary artery involvement. Kaplan-Meier analysis with Log-Rank testing was used for survival analyze.Results:Among 107 children with TAK, 26 were male, 81 were female, with a diagnosis age of 88 (5, 137) months. Sixteen cases were in the pulmonary artery involvement group and 91 cases in the non-pulmonary artery involvement group. The pulmonary artery involvement group was predominantly female (14 cases), with a diagnosis age of 39 (4, 104) months. The pulmonary artery involvement group had higher incidence rates of fatigue,pulmonary hypertension, right heart failure,superior mesenteric artery involvement,as well as higher neutrophil counts, C-reactive protein (CRP) levels (all P<0.05). Hemoglobin was lower in the pulmonary artery involvement group ( P<0.05). Imaging findings revealed that all 16 children in the pulmonary artery involvement group showed signs of pulmonary arterial wall thickening. Other manifestations included dilation in 2 cases, stenosis in 2 cases, and occlusion in 1 case. Unilateral involvement (12 cases) was more common, and the right pulmonary artery (10 cases) was more frequently affected. Independent risk factors for pulmonary artery involvement in childhood-onset TAK patients included superior mesenteric artery involvement ( OR=5.58, 95% CI 1.41-22.10, P=0.014) and elevated CRP levels ( OR=1.02, 95% CI 1.00-1.03, P=0.027). During a follow-up of 3.9 (1.4,8.1) years, 2 patients with pulmonary artery involvement (all with pulmonary hypertension), among the survivors in the pulmonary artery involvement group, 2 cases still exhibited persistent pulmonary artery dilation, and one case had pulmonary artery occlusion; and 6 patients (6.6%) without pulmonary artery involvement died. Patients with pulmonary artery involvement had significantly lower survival rates compared to those without involvement ( P=0.024). Conclusions:Childhood-onset TAK with pulmonary artery involvement has an insidious clinical presentation, and can progress to pulmonary hypertension, pulmonary artery occlusion, and a significantly reduced survival rate. Patients with mesenteric artery involvement or elevated CRP have higher risks of pulmonary artery involvement, requiring close pulmonary vascular monitoring and early intervention to improve prognosis.