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 evaluate the feasibility of a novel outpatient infusion model for blinatumomab in two acute lymphoblastic leukemia (ALL) patients, aiming to address challenges of poor treatment tolerance, high healthcare costs, and compromised quality of life, thereby providing clinical insights for broader adoption of this approach. [Methods] Two post-allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients undergoing blinatumomab maintenance therapy were selected to evaluate the efficacy of the outpatient infusion model. Patient selection criteria, nursing protocols, standardized workflows, and advancements in infusion practices were systematically analyzed combined with a review of global developments in this field. [Results] Both patients completed outpatient blinatumomab infusion without severe adverse events, demonstrating preliminary feasibility and safety of this model. The novel approach enhanced treatment convenience, reduced hospitalization costs, and improved quality of life. [Conclusion] Despite the limited sample size, this pilot study highlights the potential of outpatient blinatumomab administration as a viable alternative to traditional inpatient regimens.

Myocardial fibrosis(MF)is the leading cause of car-diac insufficiency.Its complex pathogenesis and lack of effective treatment are key issues to be addressed in the cardiovascular field.Mitochondrial quality control system(MQC)is an impor-tant mechanism for eukaryotic cells to maintain the stability of mitochondrial form,quantity and quality.MQC disorders,which are characterized by low level of mitochondrial biogenesis,exces-sive mitochondrial oxidative stress,mitochondrial autophagy de-fect and mitochondrial dynamics disorder,play a crucial role in mediating the pathophysiological process of MF.Consequently,this article reviews the role of MQC in MF pathogenesis and the latest research,in order to better understand the molecular mech-anism of MF and provide reference for the development of more natural drugs in the future.

Objective To investigate the expression of arginase Ⅱ(ArgⅡ)in kidney tissue of rats with diabetic nephropathy(DN)and its significance in the development of DN.Methods A total of 10 male SD rats were randomly divided into the control group and the model group,with 5 rats in each group.An rat model of DN was developed by feeding with high-sugar and high-fat diet combined with intra-peritoneal injection of low-dose streptozotocin(45 mg/kg),and they were sacrificed after 11 weeks of continued feeding.The body weight,and biochemical indexes of blood and urine of rats were determined.The right kidney was weighed and histopathological examination was performed.The pathological changes of kidney tissues and protein expression of ArgⅡ and CD68+were observed,and the immunofluores-cence double staining was used to observe the distribution and expression of ArgⅡand a marker of renal macrophage activation CD68+;the protein expression of ArgⅡ,NF-κB,TNF-α and IL-6 in kidney tissues was determined by Western blot.Results Compared with the control group,the ratio of kidney weight to body weight,24-hour urine volume,24-hour urine protein,fasting blood glucose,urea nitrogen and insulin level in the model group were significantly increased(P<0.05).The renal histopathology showed that the mesangial cells of the renal glomerular were necrotic with vascular dilatation,and the renal tubular epithelial cells were steatosis and congestion.Compared with the control group,the protein expression of ArgⅡ,CD68+,NF-κB,TNF-α and IL-6 in the kidney tissues of the model group were significantly increased(P<0.05).Immunofluorescence double staining demonstrated the co-expression of ArgⅡ and CD68+in renal tissue,and the fluorescence intensities of both ArgⅡ and CD68+in the model group were significantly stronger than those in the control group(P<0.01).Conclusion The expression of ArgⅡ is increased in DN,which may be participated in the occurrence of inflammatory lesions in DN.

Objective To investigate the feasibility and accuracy of an ultrasound-based transfer learning artificial intelligence model in predicting the malignancy probability of partially cystic thyroid nodules(PCTN).Methods A retrospective analysis was conducted on 246 patients with PCTN who had definitive pathological results and were admitted to Weihai Municipal Hospital,Cheeloo College of Medicine,Shandong University from January 2021 to December 2023.Patients were randomly divided into training and test cohorts at a ratio of 7:3.Ultrasonic image features of PCTN were evaluated,and independent risk factors were identified using multivariate logistic regression analysis,with the area under the curve(AUC)subsequently calculated.Additionally,five different pre-trained models-Inception_v3,EfficientNet,VGG19,ResNet50,and DenseNet121-were selected for transfer learning after data preprocessing using the PyTorch framework in Python.The AUC values of these models were calculated and compared.Results Solid portion greater than 50%,eccentric acute angle,ill-defined margin,spiculated or microlobulated margin,rim calcification,and microcalcification exhibited statistically significant differences(P<0.05)in distinguishing between benign and malignant PCTN.The AUC value derived from these independent risk factors was 0.843.Furthermore,among the five transfer learning models evaluated,the ResNet50 model demonstrated the highest diagnostic efficiency,achieving an AUC value of 0.903 2.Conclusion The ultrasound-based transfer learning artificial intelligence model demonstrated superior performance compared to traditional ultrasound image evaluation methods,enabling accurate prediction of the nature of PCTN and thereby reducing unnecessary ultrasound-guided fine needle biopsies.

This study was aimed at providing basic data for the control and prevention of Yersinia enterocolitica(Ye)infections.Ye isolates from stool samples collected from patients with diarrhea in a Beijing district between January 2019 and June 2024 were studied.Basic patient information and stool samples were collected,and quantitative polymerase chain reaction(qPCR)was applied to enriched cultures.Further analyses included virulence gene detection,whole-genome sequencing,and drug resistance detection.The detection rate of Ye was 0.76%(11/1 439),according to culture methods,thus yielding 12 Ye strains from distinct patients:11 isolated during the study period and 1 from 2017.The 12 Ye positive patients were 6-41 years of age,and their clinical presentations predominantly featured watery stools(66.67%,8/12)and loose stools(33.33%,4/12).The frequencies of nausea,vomiting,and fever were 41.67%(5/12),41.67%(5/12),and 8.33%(1/12),respectively.The drug resistance rates of Ye to TET,AMP,and NAL were 50.00%(6/12),33.33%(4/12),and 25.00%(3/12),respectively.One Ye strain exhibited multidrug resistance to ETP,MEM,TET,CIP,NAL,and AMP.According to qPCR detection of five common virulence genes,two Ye strains were identified as ystA+/ystB-type(ystA+/ystB-/ail+/yadA+/virF+),whereas ten strains were identified as ystA-/ystB+type(ystA-/ystB+/ail-/yadA-/virF-).VFDB database analysis based on genome sequences indicated that 12 Ye strains carried an average of 11 key virulence genes associated with adhesion,invasion,protease activity,and flagellar movement,and predicted 106 virulence genes and 12 virulence gene profiles.Only the two ystA+/ystB-Ye strains contained elements related to the TTSS and ABC transporter function.Detection of ystA-/ystB+Ye in stool isolation and culture of diarrhea cases might potentially have been missed in some cases,thus highlighting the importance of fluorescence PCR screening of fecal growth solutions to enhance isolation efficiency.Moreover,our findings revealed the genetic diversity of Ye isolated from diarrhea cases,thereby indicating the presence of multiple types of virulence genes within this pathogen.

In order to investigate whether the effect of Yuxuebi Tablets on the peripheral and central inflammation resolution of mice with inflammatory pain is related to their regulation of G protein-coupled receptor 37(GPR37), an inflammatory pain model was established by injecting complete Freund's adjuvant(CFA) into the paws of mice, with a sham-operated group receiving a similar volume of normal saline. The mice were assigned randomly to the sham-operated group, model group, ibuprofen group(91 mg·kg~(-1)), and low-, medium-, and high-dose groups of Yuxuebi Tablets(60, 120, and 240 mg·kg~(-1)). The drug was administered orally from days 1 to 19 after modeling. Von Frey method and the hot plate test were used to detect mechanical pain thresholds and heat hyperalgesia. The levels of interleukin-10(IL-10) and transforming growth factor-beta(TGF-β) in the spinal cord were quantified using enzyme-linked immunosorbent assay(ELISA), and the mRNA and protein expression of GPR37 in the spinal cord was measured by real-time quantitative reverse transcription PCR(qRT-PCR) and Western blot. Additionally, immunofluorescence was used to detect the expression of macrosialin antigen(CD68), mannose receptor(MRC1 or CD206), and GPR37 in dorsal root ganglia, as well as the expression of calcium-binding adapter molecule 1(IBA1), CD206, and GPR37 in the dorsal horn of the spinal cord. The results showed that compared with those of the sham-operated group, the mechanical pain thresholds and hot withdrawal latency of the model group significantly declined, and the expression of CD68 in the dorsal root ganglia and the expression of IBA1 in the dorsal horn of the spinal cord significantly increased. The expression of CD206 and GPR37 significantly decreased in the dorsal root ganglion and dorsal horn of the spinal cord, and IL-10 and TGF-β levels in the spinal cord were significantly decreased. Compared with those of the model group, the mechanical pain thresholds and hot withdrawal latency of the high-dose group of Yuxuebi Tablets significantly increased, and the expression of CD68 in the dorsal root ganglion and IBA1 in the dorsal horn of the spinal cord significantly decreased. The expression of CD206 and GPR37 in the dorsal root ganglion and dorsal horn of the spinal cord significantly increased, as well as IL-10 and TGF-β levels in the spinal cord. These findings indicated that Yuxuebi Tablets may reduce macrophage(microglial) infiltration and foster M2 macrophage polarization by enhancing GPR37 expression in the dorsal root ganglia and dorsal horn of the spinal cord of CFA-induced mice, so as to improve IL-10 and TGF-β levels, promote resolution of both peripheral and central inflammation, and play analgesic effects.
Inflammation/genetics* ; Pain/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Mice ; Freund's Adjuvant/pharmacology* ; Ibuprofen ; Pain Threshold/drug effects* ; Hyperalgesia/genetics* ; Ganglia, Spinal ; Interleukin-10/genetics* ; Transforming Growth Factor beta/genetics* ; Reverse Transcriptase Polymerase Chain Reaction ; Tablets ; Receptors, G-Protein-Coupled

The chemical constituents were systematically separated from the roots of Berberis polyantha by various chromatographic methods, including silica gel column chromatography, HP20 column chromatography, polyamide column chromatography, reversed-phase C_(18) column chromatography, and preparative high-performance liquid chromatography. The structures of the compounds were identified by physicochemical properties and spectroscopic techniques(1D NMR, 2D NMR, UV, MS, and CD). Four phenylpropanoids were isolated from the methanol extract of the roots of B. polyantha, and they were identified as(2R)-1-(4-hydroxy-3,5-dimethoxyphenyl)-1-propanone-O-β-D-glucopyranoside(1), methyl 4-hydroxy-3,5-dimethoxybenzoate(2),(+)-syringaresinol(3), and syringaresinol-4-O-β-D-glucopyranoside(4). Compound 1 was a new compound, and other compounds were isolated from this plant for the first time. The anti-inflammatory activity of these compounds was evaluated based on the release of nitric oxide(NO) in the culture of lipopolysaccharide(LPS)-induced RAW264.7 macrophages. At a concentration of 10 μmol·L~(-1), all the four compounds inhibited the LPS-induced release of NO in RAW264.7 cells, demonstrating potential anti-inflammatory properties.
Plant Roots/chemistry* ; Animals ; Mice ; Berberis/chemistry* ; RAW 264.7 Cells ; Macrophages/immunology* ; Drugs, Chinese Herbal/isolation & purification* ; Nitric Oxide/metabolism* ; Molecular Structure ; Anti-Inflammatory Agents/isolation & purification*

OBJECTIVE: To explore the displacement and pressure distribution of American Chiropractic in a model of third lumbar syndrome based on finite element analysis. METHODS: On March 2021, CT and MRI images of a 23-year-old male patient with right third lumbar syndrome were selected. A 3D stl model was established using Mimics and CATIA, and the data was imported into Hypermesh, Abaqus & ANSYS. The elastic modulus and Poisson's ratio of the affected side material were adjusted to establish its finite element model. Based on the comparison of the operating positions and routines of the American Chiropractic and the lumbar spine oblique pull method, but with differences in the focus and direction of force, the experimental group simulated the American Chiropractic with the healthy side (left side) lying position of the model. The upper endplate of L₃ and the lower part below L₃ twisted accordingly with the body position, we applied a vertical forward thrust of 246 N to the plane formed by the L₄, L₅ spinous processes and L₄ upper articular processes;The control group simulates the oblique pull method of the lumbar spine, requiring the model to lie on the healthy side (left side), fix the upper endplate of L₄, and perform a horizontal rotation along the longitudinal axis of L₃ vertebral body. At this time, the contact force in the upward direction is also set to 246 N. Compare the displacement and stress differences between the L₁-L₅ intervertebral bodies, intervertebral discs, articular processes, and transverse process muscles in two intervention models. RESULTS: ① Under safe load conditions, a test force of 246 N was applied to the model, and the maximum vertebral displacement occurred on the right side of the L₃ vertebral body (1.197 mm) after manual intervention in the control group. The vertebral displacement between L₁-L₅ induced by manual intervention in the experimental group was smaller than that of the control group's manual intervention (P<0.05). ② The maximum vertebral body stress occurred on the right side of the L₃ vertebral body after manual intervention in the control group (98.425 MPa). The stress on each vertebral body formed by the experimental group's manual intervention was lower than that of the control group's manual intervention (P<0.05). ③The maximum intervertebral disc stress occurred on the right side of the L_2,3 intervertebral disc (6.282 MPa) after manual intervention in the control group. ④ The maximum joint process stress occurred on the right side of the L₄ upper joint process after manual intervention in the experimental group (1.587 MPa). The joint process stress on the left side below L₁ and the left side above and below L₂ induced by manual intervention in the experimental group was lower than that of the control group (P<0.05). ⑤The maximum stress on the intertransverse process muscle was observed at the right lateral L₃ process end (31.960 MPa) of L_3,4 in the control group after manual intervention. The stress on the L_2,3 and L_4,5 segments of the intertransverse process muscle induced by manual intervention in the experimental group was lower than that of the control group's manual intervention (P<0.05). CONCLUSION The mechanical feedback of the L₁-L₅ vertebral body, the lower left side of the articular process L₁, the upper and lower left side of the articular process L₂, and the L_2,3 and L_4,5 segments of the transverse process muscle in the model indicates that performing American Chiropractic for the treatment of third lumbar transverse process syndrome can accurately hit the target pain point and allow the patient's tissue to form a low stress and low tension state after manual operation, thereby reducing the possibility of tissue damage caused by hypertonia after intervertebral joint movement, making it relatively safe. The application of American Chiropractic will be a new supplement to the traditional treatment plan for third lumbar transverse process syndrome.
Humans ; Finite Element Analysis ; Male ; Lumbar Vertebrae/physiopathology* ; Biomechanical Phenomena ; Young Adult ; Manipulation, Chiropractic ; Adult ; Tomography, X-Ray Computed ; Magnetic Resonance Imaging

OBJECTIVE: Objective To investigate the relationship between cervical disc herniation and C₀-C₂ Cobb angle. METHODS: The clinical data of 301 patients with cervical disc herniation from 2020 to 2024 were retrospectively analyzed. The median value of C₀-C₂ Cobb angle measurements from 301 patients was used as the boundary, cervical disc herniation patients were divided into two groups, C₀-C₂ Cobb angle <28.50 group and 151 patients with C₀-C₂ Cobb angle≥28.50 group. Among them, 150 patients in C₀-C₂ Cobb angle <28.50 group included 53 males and 97 females, aged 23 to 76 (57.32±12.55) years, with a disease duration of 7 to 19 (13.81±5.32) months;the othor 151 patients with C₀-C₂ Cobb angle≥28.50 group including 61 males and 90 females, aged 25 to 74 (56.86±12.51) years, with a disease duration of 8 to 18 (14.13±5.56) months. The cervical lordosis angle (C₀-C₂ Cobb angle and C₂-C₇ Cobb angle), T₁ inclination slope (T₁S) and cervical sagittal axial distance (C₂-C₇ SVA) were measured on the lateral cervical radiographs. The correlation between C₀-C₂ Cobb angle and cervical disc herniation range, protrusion position, average protrusion size and other parameters was analyzed. RESULTS: When the C₀-C₂ Cobb angle<28.50°, the average protrusion size was (2.21±0.56) mm, the C₂-C₇ Cobb angle was (19.92±12.06)° and the C₂-C₇ SVA was (1.10±1.20) mm. When the C₀-C₂ Cobb angle≥28.50°, the average protrusion size was (2.38±0.60) mm, the C₂-C₇ Cobb angle was (12.01±13.09 )°, the C₂-C₇ SVA was (1.53±1.36) mm, and the difference was statistically significant (P<0.05). Between the two groups of patients with C₀-C₂ Cobb angle < 28.50° and C₀-C₂ Cobb angle≥28.50°, there were significant differences in the size of C_3,4, C_4,5, C_5,6, C_6,7, C₇, T₁ disc herniation in single segment (P<0.05 ). C₀-C₂ Cobb angle was correlated with age(r=-0.135, P<0.05 ), C₂-C₇ Cobb angle (r=-0.382, P<0.01 ), C₂-C₇ SVA (r=0.293, P<0.01), average protrusion size (r=0.139, P<0.05), and the size of C_3,4 (r=0.215, P<0.01 ), C_4,5 (r=0.176, P<0.01 ), C_5,6 (r=0.144, P<0.05 ), C_6,7 (r=0.158, P<0.05 ), C₇T₁ (r=0.535, P<0.05) disc herniation. CONCLUSION There is a positive correlation between C₀-C₂ Cobb angle and the size of cervical disc herniation. C₀-C₂ Cobb angle can reflect the degree of cervical disc herniation. Previous studies have shown that the biomechanical changes between C₀-C₂ Cobb angle, C₂-C₇ Cobb angle, C₂-C₇ SVA and cervical extensor muscle group may be risk factors for accelerating cervical disc herniation and this may be one of the mechanisms that C₀-C₂ Cobb angle is positively correlated with the size of cervical disc herniation.
Humans ; Male ; Female ; Middle Aged ; Intervertebral Disc Displacement/physiopathology* ; Adult ; Cervical Vertebrae/diagnostic imaging* ; Aged ; Retrospective Studies ; Young Adult