Angiogenesis， as a core mechanism for maintaining tissue perfusion and repairing ischemic injury， plays a crucial role in ischemic diseases such as coronary heart disease and peripheral arterial disease. Traditional Chinese medicine（TCM）， with its advantages of multi-target and synergistic regulation， provides a unique perspective for therapeutic angiogenesis. Based on this， this article intends to delve into the synergistic effects of key signaling pathways， including vascular endothelial growth factor（VEGF）/VEGF receptor（VEGFR）， Notch， phosphoinositide 3-kinase/ protein kinase B/mammalian target of rapamycin（PI3K/Akt/mTOR）， and angiopoietin/endothelial TEK tyrosine kinase（Ang/Tie2）， and elucidate the driving mechanisms of endothelial cell metabolic reprogramming and exosome-mediated intercellular communication within this process. Based on existing literature， it summarizes the microenvironment-dependent and bidirectional regulatory characteristics of natural active components of TCM（such as terpenes， tanshinones， and flavonoids） on angiogenesis. Furthermore， it systematically discusses how classical TCM formulas achieve blood vessel formation and functional maturation by protecting the neurovascular units， recruiting pericytes， and remodeling the microenvironment. Current evidence highlights the advantages of multi-target synergy and temporal regulation in TCM， but also reveals challenges such as high heterogeneity and a lack of functional evaluations and high-quality clinical trials. Future efforts should integrate multi-omics to decipher network mechanisms， optimize formula compatibility， and conduct multicenter studies to promote the development of innovative preparations. This review highlights the academic value of TCM in angiogenesis， provides an evidence base for treating ischemic diseases， and supports multidisciplinary integration and innovation.

ObjectiveThis study aims to explore the potential of different orders of magnitude single-nucleotide polymorphism (SNP) locus combinations for predicting distant kinship relationships. A high-density SNP locus set was constructed, and a comprehensive assessment of its inference capability was conducted. MethodsFirstly, we selected three commercial chip panels, CGA (Chinese genotyping array, Illumina), GSA (Global screening array, Illumina), Affy (23MF_V2 high-density SNP array, Affymetrix) and merged them after quality control, forming a high-density SNP locus panel(1 180 k). Secondly, we selected 161 samples and collected their peripheral blood samples by using whole-genome sequencing technology. Within this sample population, the levels of kinship relationships fully covered the range from level 1 to level 9, and the number of kinship pairs at each level was consistently maintained at over 50 pairs. From 161 samples data of whole-genome sequencing, the 1 180 k locus set was extracted, which is referred to as the high-density SNP locus set in the following text. The kinship inference was conducted using the identity-by-descent (IBD) algorithm with the selected optimal parameters. To comprehensively evaluate the performance of the high-density SNP locus set in kinship inference, we compared it with the three commercial chip panels, the intersection of these three chip loci, and the control sets constructed by randomly reducing the number of the high-density SNP locus set. Based on the changes in the IBD lengths, as well as the dynamic trends in prediction accuracy, we conducted a scientific assessment of the kinship inference capability of the high-density SNP locus set. ResultsAfter screening, a set of 1 184 334 autosomal SNPs was obtained. During the process of screening the optimal IBD length threshold, the result revealed that 0 cM, 1 cM, and 2 cM all demonstrated good applicability. However, to avoid the issue of a large amount of redundant information caused by setting a too low IBD length threshold, this study ultimately selected 2 cM as the optimal threshold. Compared with the average results of three chip panels, the high-density SNP locus set increased the total IBD length and the average IBD length across levels 1-9; the accuracy of the confidence interval for level 8 was 70.97%, which represented a 3.50% improvement; the average confidence interval accuracy for levels 1-8 was 91.39%, representing a 1.00% increase; and the false negative rates at levels 8 and 9 were reduced by 2.42% and 6.76%, respectively. The system efficacy of the high-density SNP locus set for kinship inference of first to eighth degree relationships reached 98.91%. Through random reduction of the high-density SNP locus set results, it is found that increasing the number of SNPs with the panel, the detection efficiency of IBD length showed a significant upward trend. At the same time, the overall trend in the accuracy of kinship relationship prediction as well as the confidence interval accuracy also indicated that both metrics steadily increased with the addition of more loci. ConclusionThe results show that the high-density SNPs panel significantly enhances the efficacy of distant kinship inference, accurately covering kinship degrees, with the average confidence interval accuracy for first to eighth degree relationships stably above 90%. The study finds that increasing the number of SNPs panel can improve the ability to predict distant kinship.

To explore the correlation between MTHFR C677T gene polymorphism and hypertension, hyperhomocysteinemia(Hcy), and hyperlipidemia in the Tibetan population of Tibet.

Panvascular diseases are systemic diseases with atherosclerosis as the pathological core， involving multiple vascular beds and target organs throughout the body. Due to their wide range and complexity， the traditional single-discipline prevention and treatment model struggles to meet the needs of systematic management， while clinical diagnosis often remains one-sided and insufficient， leading to delayed treatment. Literature reviews show that panvascular diseases involve a wide range of lesion sites， numerous influencing factors， and are prone to endangering life and health. It is urgent to construct a comprehensive and whole-course prevention and treatment management system， with vascular health as the goal and patients as the core. First， early screening and risk assessment should be conducted for high-risk groups. In terms of treatment decisions for patients， multi-disciplinary collaboration is needed to establish a scientific and standardized prevention and treatment path. Second， it is important to attach great importance to a people-centered approach， enhance patients' familiarity with the disease through cognitive intervention， and shift from passive treatment to active health care. Thirdly， it is needed to leverage the advantages of modern science and technology， promote the deep integration of artificial intelligence innovations and modern medicine， and help traditional diagnosis and treatment plans evolve towards precision， intelligence， and personalization. This will open up new paths for the modernization of the whole-course management of pan-vascular diseases. Fourth， efforts should be made to continue to carry forward and innovate the characteristics of traditional Chinese medicine， adhere to equal emphasis on modern and traditional medicine， promote complementary advantages and coordinated development of Chinese and Western medicine， and form a unique Chinese model for the whole-course management of panvascular diseases. Fifth， through the reintegration and redistribution of government， medical insurance， and medical resources， comprehensive talents in the broad vascular disciplines should be cultivated and an efficient hierarchical management model established， providing reference and guidance for the whole-course management of comprehensive diseases in the future.

Panvascular diseases represent systemic vascular disorders characterized by atherosclerosis as their core pathological feature. Their incidence rates continue to rise， posing significant challenges for clinical management. Based on Traditional Chinese Medicine （TCM） theory of ''positive deficiency phlegm stasis''， this study delved into the pivotal role of mitochondrial homeostasis dysregulation in the pathogenesis and progression of pan-vascular diseases， along with its intrinsic connection to TCM pathogenesis. Mitochondrial homeostasis dysregulation pervades the entire course of these diseases， with mitochondrial oxidative stress serving as the initiating factor. Excessive reactive oxygen species （ROS） trigger endothelial dysfunction， lipid accumulation， and inflammatory initiation. Additionally， the imbalance between mitochondrial autophagy and apoptosis constitutes a pivotal link in disease progression. Excessive or insufficient autophagy may lead to the accumulation of damaged mitochondria and excessive cellular apoptosis， thereby promoting plaque instability. Furthermore， mitochondrial metabolic reprogramming impairs energy supply and function in vascular wall cells， hindering subsequent vascular repair. These pathological processes constitute the microscopic manifestation of the core pathogenesis， which is characterized by ''the intermingle of phlegm and stasis and the deficiency of healthy Qi''. Specifically， the endogenous phlegm-turbidity drives mitochondrial oxidative stress injuries， the mutual entanglement of phlegm and stasis induces an imbalance between mitochondrial autophagy and apoptosis， while deficiency of healthy Qi propels mitochondrial energy metabolism disorders and reprogramming. In view of this， this study proposed to employ phlegm-resolving and turbidity-clearing methods to mitigate mitochondrial oxidative stress injuries， phlegm-resolving and blood-activating methods to regulate mitochondrial autophagy and apoptosis， and spleen-tonifying and kidney-nourishing methods to modulate mitochondrial metabolic reprogramming. This approach can prevent and treat panvascular diseases by multi-target regulation of mitochondrial homeostasis， providing a theoretical framework and therapeutic strategies for the prevention and treatment of panvascular diseases through integrated Chinese and Western medicine.

Objective To evaluate the efficacy and safety of intraoperative pleural irrigation with Nocardia rubra cell-wall skeleton (N-CWS) for reducing pleural effusion drainage after radical surgery for lung cancer. Methods A retrospective analysis was conducted on the clinical data of lung cancer patients who underwent lobectomy and mediastinal lymph node dissection at the First Affiliated Hospital of Xiamen University between December 2024 and May 2025. Patients were divided into a control group and an irrigation group based on the intraoperative use of N-CWS. Patients in the irrigation group received pleural irrigation with 800 μg of N-CWS diluted in 10 mL of normal saline. The following outcomes were compared between the two groups: pleural effusion drainage volume at 0-24 h, 24-48 h, and 48-72 h postoperatively, degree of air leak, chest tube duration, postoperative length of stay, and the incidence of adverse events (fever, chest pain, and nausea and vomiting). Results A total of 245 patients were included (97 males, 148 females) with a mean age of (61.28±6.26) years, with 205 in the control group and 40 in the irrigation group. Compared to the control group, the irrigation group showed significantly lower pleural effusion drainage volumes at 0-24 h, 24-48 h, and 48-72 h, as well as shorter chest tube duration and postoperative length of stay (all P<0.05). There was no statistical difference in the degree of postoperative air leak (P=0.661). No significant differences were observed between the two groups regarding the highest body temperature within 72 h post-surgery (P=0.130), fever grade (P=0.196), severity of chest pain (P=0.105), or the incidence of nausea and vomiting (P=0.376). Conclusion Intraoperative pleural irrigation with N-CWS in patients undergoing lobectomy and mediastinal lymph node dissection for lung cancer can significantly reduce postoperative pleural effusion drainage volume, shorten chest tube duration and length of hospital stay. The procedure is safe and feasible.

Based on the theory that Shaoyang （少阳） and Shaoyin （少阴） function as the principal pivots， and integrating the laws of qi-fire transformation， yin-yang alternation， and the waxing and waning of healthy qi and pathogenic factors， as well as the action characteristics of immune checkpoint inhibitors （ICIs）， this study systematically expounds the dynamic evolution laws of the Shaoyang and Shaoyin pivots and constructs a stage- and phase-based differentiation and treatment framework for gastric cancer immunotherapy. In the neoadjuvant treatment stage， the core pathogenesis is the dysfunction of the Shaoyang pivot and the disorder of qi and fire transformation， often accompanied by stagnation of cold-deficiency in the middle jiao （焦）. In the postoperative adjuvant treatment stage， the dominant factors are the depletion of Shaoyin fire and the damage of yin fluid， accompanied by the lingering of residual pathogen in the Shaoyang level and the obstruction of collaterals by phlegm and stasis. In the advanced stage， the critical conditions are the exhaustion of the Shaoyin pivot， the blockage of orifices by turbid toxins， and the separation of yin and yang， leading to the rampant of pathogenic toxins and the emergence of various complicated syndromes. The treatment should be guided by the principle of regulating the double pivot. In the neoadjuvant treatment stage， it is recommended to activate the Shaoyang pivot and warm and promote the qi movement in the middle jiao. In the postoperative adjuvant treatment stage， clearing the residual pathogenic factors from the pivot and nourishing the Shaoyin. In the advanced stage， rescuing the Shaoyin pivot and opening the orifices to transform turbidity. Furthermore， stage-based treatment should serve as the foundation for dynamically assessing the patient's immune status and phase-specific changes in immunity， thereby promoting immune activation while preventing and managing immune overactivation and drug resistance.

OBJECTIVE To observe the effects of endogenous metabolite mesaconate combined with Sodium lactate Ringer’s injection （LR） on prolonging the golden treatment time window and its resuscitation efficacy in rats with hemorrhagic shock under high-altitude conditions. METHODS Rats were divided into the shock group， LR group， and 5， 20， 50 mg/kg mesaconate+LR groups， with 20 rats in each group， to investigate the effect of additional use of mesaconate on the golden treatment time window. After establishing a model of uncontrolled hemorrhagic shock under high-altitude conditions in all groups by housing in a hypobaric hypoxia chamber combined with splenic artery transection， rats in the shock group received no resuscitation， while rats in the LR group and mesaconate+LR groups underwent low-pressure resuscitation with LR or mesaconate combined with LR. Blood pressure control， fluid infusion volume， blood loss rate and survival status were observed in each group. Rats were further divided into the normal group， shock group and mesaconate （50 mg/kg）+LR group， with 10 or 20 rats in each group， to evaluate the resuscitation effects after extending the golden treatment time window by additionally using mesaconate. Except for the normal group， the other groups underwent the same procedure to establish an uncontrolled hemorrhagic shock model under high-altitude conditions. Rats in the shock group received no resuscitation. In the mesaconate+LR group， after 3 h of low-pressure resuscitation， bleeding control was performed by ligation of the spleen artery， and the infusion volume and blood loss rate were recorded； subsequently， the rats received LR resuscitation with twice the volume of blood loss. Then， blood gas indicators of the mesaconate+LR group were measured at different time points. Survival rates， indicators related to sublingual microcirculatory perfusion， liver and kidney blood flow， indicators related to the function of vital organs， and lung and brain water content were observed in all groups. RESULTS LR infusion alone could effectively maintain mean arterial pressure （MAP） within 50-60 mmHg for approximately 1 h. The administration of mesaconate combined with LR during hypotensive resuscitation could maintain MAP within 50-60 mmHg for over 3 h， with significantly reduced fluid infusion volume and blood loss rate in 50 mg/kg mesaconate+LR group， compared to the LR group （ P ＜0.05）. In the LR group， rats maintained low pressure for up to 1 hour with a survival rate of 52.94%， and no rats survived beyond 2 h. In the 5， 20 and 50 mg/kg mesaconate+LR groups， rats maintained low pressure for up to 1 h with a survival rate exceeding 80%； in the 20 and 50 mg/kg mesaconate+LR groups， rats maintained low pressure for up to 3 h with a survival rate exceeding 70%. After complete resuscitation with mesaconate combined with LR， the 72 h survival rate of rats was 43.75%， and significant improvements in blood gas parameters were observed compared to the end of the shock phase （ P ＜0.05）. Compared to the shock group， the mesaconate+LR group showed significant recovery in sublingual microcirculatory indicators， and liver/kidney blood flow after complete resuscitation （ P ＜0.05）， with significant reductions in heart， liver and kidney function-related indicators and lung water content （ P ＜0.05）. CONCLUSIONS Mesaconate combined with LR significantly extends the golden treatment time window for hemorrhagic shock in rats under high-altitude conditions， improves blood gas parameters， sublingual microcirculatory perfusion， and liver/kidney blood flow， mitigates vital organ impairment and pulmonary edema， and increases the survival rate of shocked rats.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.