Kidney-Yang deficiency syndrome is a common geriatric disease that underlies chronic conditions such as diabetic nephropathy, chronic kidney disease, and osteoporosis. As age progresses, the kidney-Yang deficiency syndrome showcases increasingly pronounced manifestations, emerging as a key factor in the comorbidities experienced by elderly patients and affecting their quality of life and overall health status. Traditional Chinese medicine(TCM) has been extensively utilized in the treatment of kidney-Yang deficiency syndrome, with Epimedii Folium, Cinnamomi Cortex, and Lycii Fructus widely used in clinical settings. Despite the complexity of the molecular mechanisms involved in treating kidney-Yang deficiency syndrome, the potential therapeutic value of TCM remains compelling. Delving into the mechanisms of TCM treatment of kidney-Yang deficiency syndrome by regulating the neuro-endocrine-immune system can provide a scientific basis for targeted treatments of this syndrome and lay a foundation for the modernization of TCM. The pathophysiology of kidney-Yang deficiency syndrome involves multiple systems, including the interaction of the neuro-endocrine-immune system, the decline in renal function, the intensification of oxidative stress responses, and energy metabolism disorders. Understanding these mechanisms and their interrelationships can help untangle the etiology of kidney-Yang deficiency syndrome, aiding clinicians in making more precise diagnoses and treatments. Furthermore, the research on the specific applications of TCM in research on these pathological mechanisms can enhance the international recognition and status of TCM, enabling it to exert a greater global influence.
Humans ; Yang Deficiency/physiopathology* ; Drugs, Chinese Herbal/therapeutic use* ; Medicine, Chinese Traditional ; Kidney Diseases/physiopathology* ; Neurosecretory Systems/physiopathology* ; Animals ; Kidney/physiopathology* ; Endocrine System/physiopathology* ; Immune System/physiopathology*

Dormant tumor cells constitute a population of cancer cells that reside in a non-proliferative or low-proliferative state, typically arrested in the G0/G1 phase and exhibiting minimal mitotic activity. These cells are commonly observed across multiple cancer types, including breast, lung, and ovarian cancers, and represent a central cellular component of minimal residual disease (MRD) following surgical resection of the primary tumor. Dormant cells are closely associated with long-term clinical latency and late-stage relapse. Due to their quiescent nature, dormant cells are intrinsically resistant to conventional therapies—such as chemotherapy and radiotherapy—that preferentially target rapidly dividing cells. In addition, they display enhanced anti-apoptotic capacity and immune evasion, rendering them particularly difficult to eradicate. More critically, in response to microenvironmental changes or activation of specific signaling pathways, dormant cells can re-enter the cell cycle and initiate metastatic outgrowth or tumor recurrence. This ability to escape dormancy underscores their clinical threat and positions their effective detection and elimination as a major challenge in contemporary cancer treatment. Hypoxia, a hallmark of the solid tumor microenvironment, has been widely recognized as a potent inducer of tumor cell dormancy. However, the molecular mechanisms by which tumor cells sense and respond to hypoxic stress—initiating the transition into dormancy—remain poorly defined. In particular, the lack of a systems-level understanding of the dynamic and multifactorial regulatory landscape has impeded the identification of actionable targets and constrained the development of effective therapeutic strategies. Accumulating evidence indicates that hypoxia-induced dormancy tumor cells are accompanied by a suite of adaptive phenotypes, including cell cycle arrest, global suppression of protein synthesis, metabolic reprogramming, autophagy activation, resistance to apoptosis, immune evasion, and therapy tolerance. These changes are orchestrated by multiple converging signaling pathways—such as PI3K-AKT-mTOR, Ras-Raf-MEK-ERK, and AMPK—that together constitute a highly dynamic and interconnected regulatory network. While individual pathways have been studied in depth, most investigations remain reductionist and fail to capture the temporal progression and network-level coordination underlying dormancy transitions. Systems biology offers a powerful framework to address this complexity. By integrating high-throughput multi-omics data—such as transcriptomics and proteomics—researchers can reconstruct global regulatory networks encompassing the key signaling axes involved in dormancy regulation. These networks facilitate the identification of core regulatory modules and elucidate functional interactions among key effectors. When combined with dynamic modeling approaches—such as ordinary differential equations—these frameworks enable the simulation of temporal behaviors of critical signaling nodes, including phosphorylated AMPK (p-AMPK), phosphorylated S6 (p-S6), and the p38/ERK activity ratio, providing insights into how their dynamic changes govern transitions between proliferation and dormancy. Beyond mapping trajectories from proliferation to dormancy and from shallow to deep dormancy, such dynamic regulatory models support topological analyses to identify central hubs and molecular switches. Key factors—such as NR2F1, mTORC1, ULK1, HIF-1α, and DYRK1A—have emerged as pivotal nodes within these networks and represent promising therapeutic targets. Constructing an integrative, systems-level regulatory framework—anchored in multi-pathway coordination, omics-layer integration, and dynamic modeling—is thus essential for decoding the architecture and progression of tumor dormancy. Such a framework not only advances mechanistic understanding but also lays the foundation for precision therapies targeting dormant tumor cells during the MRD phase, addressing a critical unmet need in cancer management.

OpenSim is an open source, free motion simulation and gait analysis software, which can be used to dynamically simulate and analyze the complex motion of the human body, and is widely used in human biomechanical research. Since OpenSim can analyze multi-dimensional motion data such as muscle strength, joint torque, and muscle synergistic activation during human movement, it can be used to study the biomechanical mechanism of musculoskeletal imbalance diseases and various treatment methods in TCM orthopedics, and has a broad application prospect in the field of TCM orthopedics. By the analysis of the basic characteristics, elements, analysis process, and application prospects of OpenSim, it is concluded that OpenSim musculoskeletal model has a large application space in the field of traditional Chinese medicine orthopedic, which is helpful to explain the pathogenesis and mechanism of diseases, and promote the precision diagnosis and treatment of orthopedics diseases;the application of OpenSim musculoskeletal model can solve the problem that the previous research paid attention to the bone malalignment and not enough attention to the tendon, and provide a new method for the research of orthopedic diseases. At present, there are still problems in the promotion and application of OpenSim, such as large equipment requirements and high operation threshold. Therefore, multidisciplinary cooperation, clinical research, and data sharing are the basic research strategies in this field.
Humans ; Biomechanical Phenomena ; Orthopedics ; Traumatology ; Software ; Medicine, Chinese Traditional ; Musculoskeletal System ; Models, Biological

Background and purpose:Internal mammary sentinel lymph node biopsy(IMSLNB)is a minimally invasive diagnostic technique for regional lymph nodes in breast cancer,which can provide accurate lymph staging and guide adjuvant treatment decision,but its clinical application has been controversial.The purpose of this study was to investigate the prognosis of IMSLNB in early breast cancer.Methods:In this study,a retrospective cohort of 7 949 patients with breast cancer from January 1,2016 to December 31,2021 was analyzed.After applying propensity score matching,the patients were divided into IMSLNB group and no-IMSLNB group,and the regional recurrence-free survival(RRFS),local recurrence-free survival(LRFS),distant metastasis-free survival(DMFS),disease-free survival(DFS)and overall survival(OS)of the two groups were compared.This study was approved by the Clinical Research Ethics Committee of the Affiliated Tumor Hospital of Shandong First Medical University(approval number:SDTHEC20130324).Results:A total of 990 patients were included in the final analysis(330 in the IMSLNB group and 660 in the no-IMSLNB group).IMSLN metastasis was found in 54 patients in the IMSLNB group,including 47 patients with axillary lymph node(ALN)metastasis and 7 patients with IMSLN metastasis only.The IMSLN transfer rate was 16.4%.The median follow-up of 41 months showed that the IMSLNB group demonstrated better 3-year DFS[98.4%vs 94.2%,hazard ratio(HR)=0.509;95%CI:0.312-0.828,P=0.007]and 5-year DFS(92.5%vs 87.3%,HR=0.214,95%CI:0.206-0.222,P=0.011)compared with no-IMSLNB group.However,no significant differences were observed in 3-year OS(99.1%vs 99.4%,HR=0.618,95%CI:0.231-1.655,P=0.338)or 5-year OS(98.5%vs 99.1%,HR=0.52,95%CI:0.51-0.53,P=0.392)between the two groups.The 3-year RRFS in the IMSLNB group was better compared with the no-IMSLNB group(99.09%vs 97.73%,HR=0.066;95%CI:0.061-0.071,P=0.048),while no significant differences were observed in 3-year LRFS(99.70%vs 98.19%,HR=0.209;95%CI:0.201-0.217,P=0.130)or DMFS(95.76%vs 96.06%,HR=0.865,95%CI:0.858-0.872,P=0.820)between the two groups.The exploratory subgroup analysis of DFS revealed that patients in the following subgroups could significantly benefit from IM-SLNB(P＜0.05):diagnosis age(≤50 years),premenopausal status,BMI(≤24),lymphovascular invasion(LVI,present),tumor location(lateral),molecular subtype[hormone receptor positive(HR+)/human epidermal growth factor receptor 2 negative(HER2-)],histological type(invasive ductal carcinoma),and axillary lymph node status(positive).Conclusion:IMSLNB can provide more accurate regional lymph node staging for early breast cancer,help optimize adjuvant radiotherapy strategies,and improve patients'DFS and RRFS.It can be promoted as a minimally invasive staging technique for regional lymph nodes.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective:To explore the influence of human induced pluripotent stem cell (iPSC) derived skin organoid-conditioned culture medium (SO-CM) on the function of human dermal fibroblasts (Fbs) induced by high glucose, with the aim of providing treatment ideas for diabetic wounds.Methods:This study was an experimental research. Human iPSCs were induced into skin organoids. Human iPSC-derived skin organoids and human dermal Fbs were seeded into skin organoid culture medium (SOM) and cultured for three days, respectively. Then the cell culture supernatants were collected as SO-CM and Fb-conditioned culture medium (Fb-CM), respectively. The content of tumor necrosis factor-α (TNF-α), interleukin-10 (IL-10), IL-18, C-C motif chemokine ligand 2 (CCL-2), platelet-derived growth factor (PDGF), vascular endothelial growth factor (VEGF), transforming growth factor-β (TGF-β), epidermal growth factor (EGF), and VEGF-β in SOM, Fb-CM, and SO-CM was detected by enzyme-linked immunosorbent assay. Human Fbs of passage 8 and 9 induced by high glucose were divided into SOM group, Fb-CM group, and SO-CM group according to the random number table method, and were cultured with SOM, Fb-CM, and SO-CM all containing glucose at final molarity of 35 mmol/L, respectively. After 24 hours of culture, the Ki67 positive ratio of cells was calculated after immunofluorescence staining, and the cell absorbance value was detected by using cell counting kit-8, representing cell proliferation activity. The cell scratch test was performed to calculate the cell migration rate at 13 hours after scratching. After 48 hours of culture, the expression of reactive oxygen species in cells was detected by fluorescent probe method, and the rate of β-galactosidase-positive staining of cells was detected by β-galactosidase staining kit, representing cellular senescence. The sample size was three.Results:There was no statistically significant difference in the content of TNF-α, PDGF, and TGF-β among the three culture media ( P>0.05). Compared with that in SOM, the content of IL-10 and EGF in Fb-CM and SO-CM was significantly decreased ( P<0.05), while the content of CCL-2 in FB-CM and VEGF in SO-CM was significantly increased ( P<0.05). After 24 hours of culture, the Ki67 positive ratio ((45.2±6.0)% and (57.4±4.0)%) and absorbance values (124±5 and 158±12) of cells in the Fb-CM group and the SO-CM group were significantly higher than those in the SOM group ((29.6±2.1)% and 100±6, P<0.05), and the Ki67 positive ratio and absorbance value of cells in the SO-CM group were significantly higher than those in the Fb-CM group ( P<0.05). At 13 hours after scratching, the cell migration rates in the Fb-CM group and the SO-CM group were significantly higher than that in the SOM group ( P<0.05). After 48 hours of culture, the level of reactive oxygen species in the SO-CM group was significantly higher than that in the SOM group and the Fb-CM group (with both P values <0.05). After 48 hours of culture, there was no statistically significant difference in the rate of β-galactosidase-positive staining of cells among the three groups ( P>0.05). Conclusions:The SO-CM has high content of VEGF and can significantly promote the proliferation, migration, and expression of reactive oxygen species in human dermal Fbs induced by high glucose, but has no significant effect on cell senescence.

A primary hallmark of pathological cardiac hypertrophy is excess protein synthesis due to enhanced translational activity. However, regulatory mechanisms at the translational level under cardiac stress remain poorly understood. Here we examined the translational regulations in a mouse cardiac hypertrophy model induced by transaortic constriction (TAC) and explored the conservative networks versus the translatome pattern in human dilated cardiomyopathy (DCM). The results showed that the heart weight to body weight ratio was significantly elevated, and the ejection fraction and fractional shortening significantly decreased 8 weeks after TAC. Puromycin incorporation assay showed that TAC significantly increased protein synthesis rate in the left ventricle. RNA-seq revealed 1,632 differentially expressed genes showing functional enrichment in pathways including extracellular matrix remodeling, metabolic processes, and signaling cascades associated with pathological cardiomyocyte growth. When combined with ribosome profiling analysis, we revealed that translation efficiency (TE) of 1,495 genes was enhanced, while the TE of 933 genes was inhibited following TAC. In DCM patients, 1,354 genes were upregulated versus 1,213 genes were downregulated at the translation level. Although the majority of the genes were not shared between mouse and human, we identified 93 genes, including Nos3, Kcnj8, Adcy4, Itpr1, Fasn, Scd1, etc., with highly conserved translational regulations. These genes were remarkably associated with myocardial function, signal transduction, and energy metabolism, particularly related to cGMP-PKG signaling and fatty acid metabolism. Motif analysis revealed enriched regulatory elements in the 5' untranslated regions (5'UTRs) of transcripts with differential TE, which exhibited strong cross-species sequence conservation. Our study revealed novel regulatory mechanisms at the translational level in cardiac hypertrophy and identified conserved translation-sensitive targets with potential applications to treat cardiac hypertrophy and heart failure in the clinic.
Animals ; Humans ; Cardiomegaly/physiopathology* ; Ribosomes/physiology* ; Protein Biosynthesis/physiology* ; Mice ; Cardiomyopathy, Dilated/genetics* ; Ribosome Profiling

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Background and purpose:Internal mammary sentinel lymph node biopsy(IMSLNB)is a minimally invasive diagnostic technique for regional lymph nodes in breast cancer,which can provide accurate lymph staging and guide adjuvant treatment decision,but its clinical application has been controversial.The purpose of this study was to investigate the prognosis of IMSLNB in early breast cancer.Methods:In this study,a retrospective cohort of 7 949 patients with breast cancer from January 1,2016 to December 31,2021 was analyzed.After applying propensity score matching,the patients were divided into IMSLNB group and no-IMSLNB group,and the regional recurrence-free survival(RRFS),local recurrence-free survival(LRFS),distant metastasis-free survival(DMFS),disease-free survival(DFS)and overall survival(OS)of the two groups were compared.This study was approved by the Clinical Research Ethics Committee of the Affiliated Tumor Hospital of Shandong First Medical University(approval number:SDTHEC20130324).Results:A total of 990 patients were included in the final analysis(330 in the IMSLNB group and 660 in the no-IMSLNB group).IMSLN metastasis was found in 54 patients in the IMSLNB group,including 47 patients with axillary lymph node(ALN)metastasis and 7 patients with IMSLN metastasis only.The IMSLN transfer rate was 16.4%.The median follow-up of 41 months showed that the IMSLNB group demonstrated better 3-year DFS[98.4%vs 94.2%,hazard ratio(HR)=0.509;95%CI:0.312-0.828,P=0.007]and 5-year DFS(92.5%vs 87.3%,HR=0.214,95%CI:0.206-0.222,P=0.011)compared with no-IMSLNB group.However,no significant differences were observed in 3-year OS(99.1%vs 99.4%,HR=0.618,95%CI:0.231-1.655,P=0.338)or 5-year OS(98.5%vs 99.1%,HR=0.52,95%CI:0.51-0.53,P=0.392)between the two groups.The 3-year RRFS in the IMSLNB group was better compared with the no-IMSLNB group(99.09%vs 97.73%,HR=0.066;95%CI:0.061-0.071,P=0.048),while no significant differences were observed in 3-year LRFS(99.70%vs 98.19%,HR=0.209;95%CI:0.201-0.217,P=0.130)or DMFS(95.76%vs 96.06%,HR=0.865,95%CI:0.858-0.872,P=0.820)between the two groups.The exploratory subgroup analysis of DFS revealed that patients in the following subgroups could significantly benefit from IM-SLNB(P＜0.05):diagnosis age(≤50 years),premenopausal status,BMI(≤24),lymphovascular invasion(LVI,present),tumor location(lateral),molecular subtype[hormone receptor positive(HR+)/human epidermal growth factor receptor 2 negative(HER2-)],histological type(invasive ductal carcinoma),and axillary lymph node status(positive).Conclusion:IMSLNB can provide more accurate regional lymph node staging for early breast cancer,help optimize adjuvant radiotherapy strategies,and improve patients'DFS and RRFS.It can be promoted as a minimally invasive staging technique for regional lymph nodes.