Diabetic cardiomyopathy （DCM） is one of the most common complications of diabetes mellitus and is a major threat to global health. As a key mechanism in the occurrence and progression of DCM， the inflammatory response persists throughout the entire course of the DCM. The Gaozhuo theory suggests that the basic pathogenesis of inflammatory injury in DCM is the Qi deficiency of spleen and kidney and Gaozhuo invasion， and divides the pathological process into three phases： Gaozhuo invasion， turbid heat damage to the channels， and turbid blood stasis and heat junction. Among them， the Qi deficiency of spleen and kidney and the endogenous formation of Gaozhuo represent the process of inflammatory factor formation induced by glucose metabolism disorders. Turbid heat damage to the channels refers to the process of myocardial inflammatory injury mediated by inflammatory factors， and turbid blood stasis and heat junction are the process of myocardial injury developing toward myocardial fibrosis and ventricular remodeling. As the disease continues to progress， it eventually develops into a depletion of the heart Yang， leading to the ultimate regression of heart failure. According to the theory of Gaozhuo， traditional Chinese medicine （TCM） should regulate inflammatory injury in DCM by strengthening the spleen and tonifying the kidney to address the root cause， and resolving dampness and lowering turbidity to treat the symptoms. If the turbidity has been stored for a long time and turns into heat， strengthening the spleen and tonifying the kidney， and clearing heat and resolving turbidity should be the therapy. If the turbidity， stasis， and heat are knotted in the heart and collaterals， strengthening the spleen and tonifying the kidney， and resolving stasis and lowering turbidity should be the therapy. TCM compounds and monomers can regulate the inflammatory response in DCM. TCM compounds can be divided into the categories for benefiting Qi to resolve turbidity， benefiting Qi and clearing heat to resolve turbidity， and benefiting Qi and activating blood to reduce turbidity. The compounds can inhibit upstream signals of inflammation and expression of inflammatory factors， improve the inflammatory damage to myocardium and blood vessels， myocardial fibrosis， and cardiac systole and diastole， and thus slow down the onset and progression of DCM.

Non-alcoholic fatty liver disease （NAFLD） is one of the most common complications of type 2 diabetes mellitus （T2DM）， and hepatic stellate cell （HSC） activation is the key link in the progression of NAFLD to liver fibrosis. According to the theory of "Gaozhuo"， spleen deficiency and Qi stagnation， along with Gaozhuo invasion， are the causes of NAFLD progression to liver fibrosis， which reveals the pathogenesis essence of HSC activation in traditional Chinese medicine （TCM）. Among them， spleen deficiency and Qi stagnation are the root causes of the endogenous formation of Gaozhuo. Spleen deficiency indicates the insulin sensitivity decrease and glucose metabolism disorders， and Qi stagnation means the dysregulation of hepatic glucose and lipid metabolism， which creates the preconditions for HSC activation. Gaozhuo invasion is the direct cause of HSC activation， including three stages： Internal retention of Gaozhuo， turbidity and stasis stagnation， and toxic stasis and consolidation. Internal retention of Gaozhuo refers to the abnormal metabolism and deposition of hepatic lipids， as well as the microcirculatory disorders. Turbidity and stasis stagnation is the process by which lipotoxicity stimulates the transformation of HSC into myofibroblast （MFB）， and toxic stasis and consolidation represent the secretion of a large amount of extracellular matrix （ECM） by MFB to promote the fibrosis. According to the theory of Gaozhuo and the activation process of HSC， syndromes for T2DM combined with NAFLD can be classified into spleen deficiency and Qi stagnation with internal retention of Gaozhuo， spleen Qi deficiency with turbidity and stasis stagnation， and spleen Qi deficiency with toxic stasis and consolidation. Clinically， the treatment principle is to strengthen the spleen and promote Qi， resolve turbidity， and eliminate blood stasis. Both TCM compounds and monomers can effectively inhibit the HSC activation. TCM compounds can be classified into categories for regulating spleen and harmonizing liver， resolving turbidity and removing stasis， and detoxifying and removing stasis. They mainly work by improving lipid metabolism， reducing lipid accumulation in the liver， alleviating inflammatory and oxidative stress responses， inhibiting the activation and proliferation of HSC， and reducing ECM deposition， thereby delaying the progression of liver fibrosis.

The accumulation of uremic toxins such as urea nitrogen, blood creatinine, and uric acid of patients with renal failure in vivo would lead to aggravated kidney damage. In this study, coated aldehyde oxy-starch (CAO) was used as an adsorbent to investigate its in vitro adsorption performance on renal failure indexes for urea, indoxyl sulfate (INS), monomethylamine (MMA), dimethylamine (DMA), uric acid (UA), and creatinine (Cr). The effects of variables such as pH, temperature, concentration, dosage, and time on the adsorption capacity of CAO were systematically investigated, employing analytical techniques of high-performance liquid chromatography (HPLC) and gas chromatography (GC). The results revealed that CAO exhibited a strong adsorption capacity for urea, INS, and MMA, alongside a moderate adsorption capacity for DMA, UA, and Cr. The adsorption kinetics and thermodynamic studies indicated that the adsorption of urea and UA by CAO were fitted in pseudo-first-order kinetics, and the adsorption isotherm aligned with the Freundlich adsorption model. The enthalpy change ΔH of urea in adsorption was in the range of 40 to 60 kJ·mol^-1, which demonstrated the presence of strong adsorption force due to the interactions of coordinating groups. The ΔH of UA was greater than 80 kJ·mol^-1, indicating the generation of chemical bonds during the adsorption. Both of them, Gibbs free energy ΔG was less than 0, within the range of -20 to 0 kJ·mol^-1, suggested that the adsorption of urea and UA by CAO occurred spontaneously as physical adsorption process. The adsorption entropy ΔS of urea and UA was > 0, which indicated an increase in entropy throughout the adsorption. The infrared spectroscopygram showed the formation of a chemical bond, specifically the imine bond, following the adsorption of urea by CAO, thereby indicating a chemical reaction during the adsorption. This study elucidates the adsorption mechanism of CAO on various indexes of renal failure, providing a scientific basis for its clinical usage.

Objective: To explore the impact of personalized early treatment appliances (ETA) on the relationship between dental and maxillofacial structures in patients with ClassⅡ malocclusion during the replacement phase, and to provide a basis for clinical treatment. Methods: This study was reviewed and approved by the Medical Ethics Committee, and informed consent was obtained from patients. From May 2023 to December 2023, 15 patients with Angle ClassⅡ malocclusion accompanied by mandibular retraction and anterior deep overjet during mixed dentition were enrolled in this study (8 males and 7 females; mean age 8.8 years). Each patient received a customized domestically manufactured ETA that was created based on dental arch dimensions, overjet severity, and occlusal relationships assessed from study models. Patients were instructed to wear the appliance for at least 2 hours during the day and throughout the night. The treatment duration was 6 months, at which time the changes in cephalometric data before treatment (T0) and after treatment (T1) were compared using Uceph software Results: The angle between sella, nasion and supramentale point B (SNB) of the patients increased significantly by (1.03 ± 1.74°) compared to before treatment (P = 0.039). The angle between subspinale point A and supramentale point B (ANB), the distance between point A and point B on the FH plane (wits value), the overjet, and the overbite decreased by (0.47 ± 0.61°), (2.48 ± 2.11) mm, (2.48 ± 3.42) mm, and (0.79 ± 1.40) mm, respectively, compared to before treatment, and the differences were statistically significant (P<0.05). The angle between sella, nasion and subspinale point A (SNA), the angle between the FH and MP planes (FMA), the angle between the long axis of the L1 and MP plane (IMPA), the angle between the MP plane and SN plane (MP-SN), the distance from S to Go divided by the distance from N to Me (S-Go/N-Me), and the distance of the FH plane perpendicular from G point to the Pog point (G Vert Pog) increased compared to before treatment, while the angle between the SGn and FH planes (Y-axis) and the angle between the long axis of the L1 and FH plane (FMIA) decreased compared to before treatment, but there was no statistical difference (P>0.05). Conclusion Personalized, customized ETA orthodontic appliances can effectively improve the sagittal and vertical relationships between the maxilla and mandible in patients with ClassⅡ malocclusion.

BACKGROUND:Primary osteoporosis has a high incidence,but the pathogenesis is not fully understood.Currently,there is a lack of effective early screening indicators and treatment programs. OBJECTIVE:To further explore the mechanism of primary osteoporosis through comprehensive bioinformatics analysis. METHODS:The primary osteoporosis data were obtained from the gene expression omnibus(GEO)database,and the differentially expressed genes were screened for Gene Ontology(GO)function and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.In addition,the differentially expressed genes were subjected to protein-protein interaction network to determine the core genes related to primary osteoporosis,and the least absolute shrinkage and selection operator algorithm was used to identify and verify the primary osteoporosis-related biomarkers.Immune cell correlation analysis,gene enrichment analysis and drug target network analysis were performed.Finally,the biomarkers were validated using qPCR assay. RESULTS AND CONCLUSION:A total of 126 differentially expressed genes and 5 biomarkers including prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,transforming growth factor B1,and retinoblastoma gene 1 were obtained in this study.GO analysis showed that differentially expressed genes were mainly concentrated in the cellular response to oxidative stress and the regulation of autophagy.KEGG analysis showed that autophagy and senescence pathways were mainly involved.Immunoassay of biomarkers showed that prostaglandins,retinoblastoma gene 1,and mitogen-activated protein kinase 3 were closely related to immune cells.Gene enrichment analysis showed that biomarkers were associated with immune-related pathways.Drug target network analysis showed that the five biomarkers were associated with primary osteoporosis drugs.The results of qPCR showed that the expression of prostaglandins,epidermal growth factor receptor,mitogen-activated protein kinase 3,and transforming growth factor B1 in the primary osteoporosis sample was significantly increased compared with the control sample(P<0.001),while the expression of retinoblastoma gene 1 in the primary osteoporosis sample was significantly decreased compared with the control sample(P<0.001).Overall,the study screened and validated five potential biomarkers of primary osteoporosis,providing a reference basis for further in-depth investigation of the pathogenesis,early screening and diagnosis,and targeted treatment of primary osteoporosis.

Aromatic immunity in traditional Chinese medicine(TCM) is the medical knowledge accumulated in the process of people's struggling with diseases. It plays an important role in plague prevention, disease treatment, health preservation, and rehabilitation, and has profound TCM basic theoretical support and abundant modern scientific evidence. With the in-depth promotion of the Healthy China initiative and the succession of health needs in the post-COVID-19 era, how to practice the health concept of aromatic immunity in TCM and develop its health service resources with high quality has become an important proposition to be discussed urgently. This paper summarizes the cognitive process, puts forward the basic concept, discusses the scientific connotation and clinical application value, and looks forward to the future development trend of aromatic immunity in TCM, aiming to provide guidance for the development of great health products and promote the application of aromatic immunity in TCM in serving people's health.
Medicine, Chinese Traditional/methods* ; Humans ; COVID-19/immunology* ; China ; Drugs, Chinese Herbal/therapeutic use* ; SARS-CoV-2

The efficacy mechanism of the alcoholic extract of Gnaphalium affine was investigated by observing its influence on oxidative stress and intestinal flora in rats modeled for chronic obstructive pulmonary disease(COPD). UPLC-MS was used to evaluate the quality of the alcoholic extract of G. affine, and 72 rats were randomly divided into six groups, with COPD models established in five groups by cigarette smoke combined with airway drip lipopolysaccharide, and the rats were given the positive drug of Danlong Oral Solution, as well as low-, medium-, and high-doses alcoholic extract of G. affine, respectively. After two weeks of continuous gastric gavage, the body weights and general morphology observations were performed; HE staining and Masson staining were used to verify the effects of the alcoholic extract of G. affine on alveolar inflammation and collagen deposition area in COPD rats; the oxidative stress indexes CAT and GSH in serum and SOD and MDA in lung tissue of the rats were measured, and the mRNA expression of HO-1, Nrf2, and NQO1 were determined by qRT-PCR. The protein expressions of HO-1, Nrf2, and NQO1 were determined by the Western blot method, and the mechanism by which the alcoholic extract of G. affine affected oxidative stress in COPD rats was explored. Finally, the influence of G. affine on the changes in intestinal flora caused by COPD was studied by 16S rRNA sequencing. The results showed that a total of 121 chemical components were identified by UPLC-MS, including 70 positive and 51 negative ion modes. In animal experiments, it was found that the alcoholic extracts of G. affine were able to reduce the percentage of collagen deposition, affect the oxidative stress indexes such as CAT, GSH, SOD, MDA, as well as the mRNA and protein expression of Nrf2, HO-1, and NQO1. The 16S rRNA sequencing results showed an increase in the level of Lactobacillales and a decrease in the level of Desulfovibrio and Desulfovibrionales, suggesting that the alcoholic extracts of G. affine could reverse the changes in intestinal flora caused by COPD. In conclusion, the alcoholic extracts of G. affine may exert anti-COPD effects by affecting the oxidative stress pathway and modulating the changes in intestinal flora.
Animals ; Oxidative Stress/drug effects* ; Pulmonary Disease, Chronic Obstructive/genetics* ; Rats ; Male ; Gastrointestinal Microbiome/drug effects* ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/administration & dosage* ; NF-E2-Related Factor 2/metabolism* ; Humans ; Lung/metabolism*

Osteoporotic fractures(OPF) refer to the fractures caused by minor violence in the state of osteoporosis, seriously threatening the life and health of elderly patients. Drug and surgical therapies have limitations such as single targets, diverse adverse reactions, and poor prognosis. Kidney-tonifying traditional Chinese medicine(TCM) has good potential in the treatment of OPF. TCM can promote the healing of OPF by promoting angiogenesis in the early stage of bone healing, promoting osteogenic differentiation of bone marrow mesenchymal stem cells in the stage of bone repair, maintaining the balance of osteogenic and osteoclastic system in the stage of bone remodeling, and regulating the oxidative stress responses throughout the process of OPF healing. TCM can alleviate the pathological state of osteoporosis and promote fracture healing in OPF patients via multiple pathways and targets, demonstrating the advantages and potential of biphasic regulation.
Humans ; Drugs, Chinese Herbal/therapeutic use* ; Osteoporotic Fractures/metabolism* ; Animals ; Fracture Healing/drug effects* ; Medicine, Chinese Traditional ; Kidney/metabolism* ; Osteogenesis/drug effects*

Osteoarthritis (OA), the most prevalent joint disease of late life, is closely linked to cellular senescence. Previously, we found that the senescence of fibroblast-like synoviocytes (FLS) played an essential role in the degradation of cartilage. In this work, single-cell sequencing data further demonstrated that cartilage acidic protein 1 (CRTAC1) is a critical secreted factor of senescent FLS, which suppresses mitophagy and induces mitochondrial dysfunction by regulating SIRT3 expression. In vivo, deletion of SIRT3 in chondrocytes accelerated cartilage degradation and aggravated the progression of OA. Oppositely, intra-articular injection of adeno-associated virus expressing SIRT3 effectively alleviated OA progression in mice. Mechanistically, we demonstrated that elevated CRTAC1 could bind with NRF2 in chondrocytes, which subsequently suppresses the transcription of SIRT3 in vitro. In addition, SIRT3 reduction could promote the acetylation of FOXO3a and result in mitochondrial dysfunction, which finally contributes to the degradation of chondrocytes. To conclude, this work revealed the critical role and underlying mechanism of senescent FLSs-derived CRTAC1 in OA progression, which provided a potential strategy for the OA therapy.

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.