ObjectiveTo investigate the status of overlapping hepatitis B virus （HBV） infection in patients with chronic hepatitis C virus （HCV） infection and the serological characteristics of such patients. MethodsA total of 8 637 patients with HCV infection who were hospitalized from January 1， 2010 to December 31， 2020 and had complete data of HBV serological markers were enrolled， and the composition ratio of patients with overlapping HBV serological markers was analyzed among the patients with HCV infection. The patients were divided into groups based on age and year of birth， and serological characteristics were analyzed， and the distribution of HBV-related serological characteristics were analyzed across different HCV genotypes. ResultsThe patients with HCV/HBV overlapping infection accounted for 5.85%， and the patients with previous HBV infection accounted for 48.10%； the patients with protective immunity against HBV accounted for 14.67%， while the patients with a lack of protective immunity against HBV accounted for 31.39%. The patients were divided into groups based on age： in the 0 — 17 years group， the patients with protective immunity against HBV accounted for 61.41% （304 patients）； the 18 — 44 years group was mainly composed of patients with previous HBV infection （698 patients， 37.31%）， the 45 — 59 years group was predominantly composed of patients with previous HBV infection （1 945 patients， 50.38%）， and the ≥60 years group was also predominantly composed of patients with previous HBV infection （1 486 patients， 61.66%）. The patients were divided into groups based on the year of birth： in the pre-1992 group， the patients with previous HBV infection accounted for 51.63% （4 112 patients）； in the 1992 — 2005 group， the patients with protective immunity against HBV accounted for 54.72% （168 patients）； in the post-2005 group， the patients with protective immunity against HBV accounted for 64.38% （235 patients）. In this study， 6 301 patients underwent HCV genotype testing： the patients with genotype 1b accounted for the highest proportion of 51.71% （3 258 patients）， followed by those with genotype 2a （1 769 patients， 28.07%）， genotype 3b （63 patients， 1.00%）， genotype 3a （10 patients， 0.16%）， genotype 4 （21 patients， 0.33%）， and genotype 6a （5 patients， 0.08%）. ConclusionWith the implementation of hepatitis B planned vaccination program in China， there has been a significant reduction in the proportion of patients with previous HBV infection among the patients with HCV/HBV overlapping infection， but there is still a relatively high proportion of patients with a lack of protective immunity against HBV.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

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.

ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

ObjectiveTo explore the training path of rehabilitation therapy professionals in local colleges and universities under the background of New Medicine. MethodsTaking Jining Medical University as an example, combining the interdisciplinary integration, intelligent driving and people-oriented New Medicine attributes of rehabilitation therapy, this study focused on the current practical problems in rehabilitation education, accurately aligned with the requirements of new medicine construction, reshaped the curriculum system with new concepts, empowered practical innovation with new technologies, and cultivated humanistic literacy with new connotations. By deeply integrating digital construction with educational practice, it carried out the construction and practice of the New Medicine talent training model in rehabilitation therapy, helping students form a stereoscopic knowledge structure, possess the ability to apply intelligent rehabilitation technology and solve complex rehabilitation problems, and become high-quality rehabilitation therapy talents with both morality and ability. ResultsThe overall construction of the rehabilitation therapy major established a model of Dual fusion foundation, Three element empowerment and Three dimensional soul casting, including reform and innovation in curriculum system, practical mode and moral education mechanism. It has formed a health oriented "vertical and horizontal integration-discipline fusion" dual-fusion stereoscopic curriculum system, an intelligent led "theory and practice-science and education-industry and education" three element integration practical mode, and a confucian medical culture "curriculum-practice-evaluation" three-dimensional integrated moral education mechanism. Through practical testing, this model achieved significant results and was widely recognized, including a significant improvement in the quality of talent cultivation, prominent achievements in resource construction, and prominent achievements in health services, providing strong support for the construction of regional rehabilitation medical systems. ConclusionThe reform of the rehabilitation treatment talent training model at Jining Medical University under the background of New Medicine provides a replicable and promotable practical paradigm for the training of rehabilitation talents in similar universities through reshaping the curriculum system, strengthening practical innovation, and cultivating humanistic literacy.

Objective: To explore the correlation between traditional Chinese medicine (TCM) constitution and depressive symptom among school aged children and adolescents, so as to provide evidences for informing constitution based regulation and prevention of depressive symptom. Methods: From June to December 2024, a total of 4 729 students aged 6-14 were recruited by cluster random sampling from 10 primary schools in Baoding (Hebei Province), Heze and Liaocheng (Shandong Province). General information, TCM constitution and depressive symptom were collected. Restricted cubic spline (RCS) models were used to analyze related factors and threshold effects of depressive symptom. Binary Logistic regression was applied to examine the association between depressive symptom and TCM constitution, with subgroup analyses conducted. Results: The detection rate of depressive symptom among the included children and adolescents was 25.82%. RCS analyses indicated non linear associations between depressive symptom and age (inflection point at 10 years old), bedtime (inflection point at 22:00), and wake up time (inflection point at 6:30 ) (all P non linearity <0.01). Linear associations were observed with body mass index (BMI) and sleep duration (all P non linearity > 0.05 ). After adjusting for covariates such as age, BMI and sleep status, binary Logistic regression analyses showed that Yin deficient constitution ( OR =1.26, 95% CI =1.09-1.45) and Phlegm-dampness constitution ( OR =1.42, 95% CI =1.11-1.82) were significantly associated with depressive symptom among children and adolescents (all P <0.05). Conclusions Depressive symptom among school aged children and adolescents is primarily associated with Yin deficiency and Phlegm dampness constitutions in TCM constitution. Active attention should be paid to susceptible TCM constitution among children and adolescents. Targeted health guidance and interventions should be implemented to improve TCM constitution health status for preventing the occurrence of depressive symptom.

Objective: To understand the current situation and influencing factors of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing, so as to provide a scientific basis for formulating a comprehensive strategy for the co prevention of multiple diseases among middle school students. Methods: From September to December 2024, 12 327 middle school students were selected from 6 districts and counties in Chongqing by the combination of stratified cluster sampling and convenience sampling method. The current status of depressive and anxiety symptoms was investigated by using the Center for Epidemiological Survey-Depression Scale (CES-D) and the Generalized Anxiety Disorder-7 (GAD-7). The Chi-squared test was used to compare the differences between groups with comorbidity of depressive and anxiety symptoms, multivariate Logistic regression analysis was used to analyze its related factors, and a nomogram prediction model was drawn. Results: The detection rates of depressive symptoms, anxiety symptoms and comorbidity among middle school students in Chongqing were 26.34%, 34.55% and 21.16%, respectively. Among them, the detection rates of the three types of symptoms in girls (29.80%, 40.99%, 25.15%) were all higher than those in boys (23.22%, 28.73%, 17.55%) ( χ 2=68.61, 204.23, 106.51, all P <0.01). Statistical significance was observed in the distribution of depressive and anxious symptoms among middle school students across different gender, academic stage, school district, family type, physical activity levels, parental discipline, smoking, alcohol consumption, sleep deprivation, excessive screen time, Internet addiction, and bullying ( χ 2=14.49-991.46, all P <0.01). Multivariate Logistic regression analysis showed that compared with junior high school students, ordinary high school students had a higher risk of comorbidity ( OR=2.71, 95% CI = 2.41-3.05); girls ( OR=2.17, 95%CI =1.95-2.40), non-core family ( OR=1.20, 95%CI =1.08-1.32), and good neighborhood ( OR=1.16, 95%CI =1.02-1.30), campus bullying ( OR=4.88, 95%CI =4.32-5.50), Internet addiction ( OR=4.77, 95%CI = 3.41 -6.68), parental beating and scolding ( OR=3.18, 95%CI =2.72-3.71), alcohol consumption ( OR=2.10, 95%CI =1.86- 2.37 ), and insufficient sleep ( OR=1.73, 95%CI =1.54-1.95) had higher risks with comorbidity of depression and anxiety symptoms (all P <0.05). A nomogram prediction model was constructed based on significant variables shows that C-index=0.75 (AUC= 0.75 , 95% CI=0.74-0.76, P <0.05), and the model had good predictive performance. Conclusions The current situation of comorbidity of depressive and anxiety symptoms among middle school students in Chongqing is not optimistic. The nomograms can be used to effectively predict the risk of comorbidity of depressive and anxiety symptoms in middle school students.

OBJECTIVE: To observe the effects of moxibustion at "Xinshu" (BL15) and "Feishu" (BL13) on myocardial transferrin receptor 1 (TfR1), ferroptosis suppressor protein 1 (FSP1), atrial natriuretic peptide (ANP), and typeⅠcollagen myocardial collagen fibers (CollagenⅠ) in rats with chronic heart failure (CHF), and to explore the mechanism of moxibustion for ameliorating myocardial fibrosis and improving cardiac function in CHF. METHODS: Fifty SD rats were randomly divided into a normal group (n=10) and a modeling group (n=40). The CHF model was established in the modeling group by ligating the left anterior descending coronary artery. After successful modeling, the rats were randomly divided into a model group (n=9), a moxibustion group (n=8), a rapamycin (RAPA) group (n=9), and a moxibustion+RAPA group (n=9). In the moxibustion group, moxibustion was delivered at bilateral "Feishu"(BL13) and "Xinshu" (BL15), 15 min at each point in each intervention, once daily, for 4 consecutive weeks. In the RAPA group, RAPA solution was administered intraperitoneally at a dose of 1 mg/kg, once daily for 4 consecutive weeks. In the moxibustion+RAPA group, RAPA solution was administered intraperitoneally after moxibustion. Ejection fraction (EF) and left ventricular fractional shortening (FS) were measured after modeling and intervention. After intervention, morphology of cardiac muscle was observed using HE staining and Masson's trichrome staining. Total iron content in myocardial tissue was detected using a colorimetric method. Western blot and qPCR were adopted to detect the protein and mRNA expression of TfR1, FSP1, ANP, and CollagenⅠ in myocardial tissue. RESULTS: Compared with the normal group, the EF and FS values decreased (P<0.01); necrosis, edema, degeneration, and arrangement disorder were presented in cardiomyocytes; inflammatory cells were obviously infiltrated, the structure of myocardial fibers was disarranged, the collagen fibers were obviously deposited and fibrosis increased (P<0.01); the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue were elevated (P<0.01), while the protein and mRNA expression of FSP1 were reduced (P<0.01) in the model group. Compared with the model group, the moxibustion group showed that EF and FS increased (P<0.01); myocardial cell morphology was improved, and myocardial fibrosis was alleviated (P<0.01); the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue decreased (P<0.01), while the protein and mRNA expression of FSP1 increased (P<0.01, P<0.05). Compared with the model group, the myocardial fibrosis was increased (P<0.05); the total iron content and the protein and mRNA expression of TfR1, ANP, CollagenⅠ in myocardial tissue were increased (P<0.01), while protein and mRNA expression of FSP1 decreased (P<0.01) in the RAPA group. When compared with the RAPA group and the moxibustion + RAPA group, EF and FS were elevated (P<0.01, P<0.05); myocardial cells were improved in morphology, the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue decreased (P<0.01), while protein and mRNA expression of FSP1 increased (P<0.01) in the moxibustion group. In comparison with the moxibustion + RAPA group, the RAPA group showed the decrease in EF and FS (P<0.01), the worsened myocardial fibrosis (P<0.01), the increase in the total iron content and the protein and mRNA expression of TfR1, ANP, and CollagenⅠ in myocardial tissue (P<0.01), and the decrease in the protein and mRNA expression of FSP1 (P<0.01). CONCLUSION Moxibustion at "Feishu" (BL13) and "Xinshu" (BL15) can slow down the process of myocardial fibrosis and improve cardiac function in CHF rats. The mechanism of moxibustion may be related to inhibiting ferroptosis through regulating autophagy.
Animals ; Rats ; Heart Failure/physiopathology* ; Moxibustion ; Rats, Sprague-Dawley ; Male ; Receptors, Transferrin/genetics* ; Myocardium/metabolism* ; Acupuncture Points ; Humans ; Chronic Disease/therapy* ; Antigens, CD/metabolism*