Objective:To investigate the use of quantitative flow ratio(QFR) for selecting suitable anastomosis targets of radial artery in coronary artery bypass grafting.Methods:From January 2019 to June 2023, clinical data of patients undergoing coronary artery bypass grafting with using radial artery obtained from Beijing Anzhen Hospital were retrospectively collected. A total of 186 patients were included in this study, including 175 males and 11 females. The average age was(54.26±7.91) years, ranging from 34 to 70 years. They were divided into study group(n=46) and control group(n=140) according to whether QFR was examined before operation. The distal radial artery in the study group was anastomosed to a non-LAD artery with the lowest QFR value, while in the control group was randomly anastomosed to the most important non-LAD artery with the anatomic stenosis greater than 75%. All patients were followed up. The endpoint event was major adverse cardiovascular events(MACE) and radial grafts stenosis/occlusion. The preoperative baseline data, perioperative indexes and follow-up were analyzed and compared.Results:There was no significant difference in preoperative baseline data between the two groups. The pulse index(PI) in the study group was significantly lower than that in the control group(1.88±0.45 vs. 2.11±0.61, P<0.05). There were no serious perioperative complications in both groups. All patients survived and were discharged from hospital. The average follow-up time was 30 months. There were no significant differences in cardiogenic death, stroke, recurrent myocardial infarction, and revascularization between the two groups. The rate of recurrent angina in the study group was significantly lower than that in the control group(8.7% vs. 22.1%, P<0.05). The complete patency rate of radial graft in the study group was significantly higher than that in the control group(96.4% vs. 86.0%, P<0.05), the occlusion rate was significantly lower than that in the control group(0 vs. 9.4%, P<0.05), and the stenosis rate had no significant difference between two groups. Conclusion:QFR can clarify the functional changes of coronary blood flow, select suitable anastomosis target for radial graft, reduce the occurrence of competing flow, and then improve the patency rate and clinical prognosis.

Objective:To investigate the use of quantitative flow ratio(QFR) for selecting suitable anastomosis targets of radial artery in coronary artery bypass grafting.Methods:From January 2019 to June 2023, clinical data of patients undergoing coronary artery bypass grafting with using radial artery obtained from Beijing Anzhen Hospital were retrospectively collected. A total of 186 patients were included in this study, including 175 males and 11 females. The average age was(54.26±7.91) years, ranging from 34 to 70 years. They were divided into study group(n=46) and control group(n=140) according to whether QFR was examined before operation. The distal radial artery in the study group was anastomosed to a non-LAD artery with the lowest QFR value, while in the control group was randomly anastomosed to the most important non-LAD artery with the anatomic stenosis greater than 75%. All patients were followed up. The endpoint event was major adverse cardiovascular events(MACE) and radial grafts stenosis/occlusion. The preoperative baseline data, perioperative indexes and follow-up were analyzed and compared.Results:There was no significant difference in preoperative baseline data between the two groups. The pulse index(PI) in the study group was significantly lower than that in the control group(1.88±0.45 vs. 2.11±0.61, P<0.05). There were no serious perioperative complications in both groups. All patients survived and were discharged from hospital. The average follow-up time was 30 months. There were no significant differences in cardiogenic death, stroke, recurrent myocardial infarction, and revascularization between the two groups. The rate of recurrent angina in the study group was significantly lower than that in the control group(8.7% vs. 22.1%, P<0.05). The complete patency rate of radial graft in the study group was significantly higher than that in the control group(96.4% vs. 86.0%, P<0.05), the occlusion rate was significantly lower than that in the control group(0 vs. 9.4%, P<0.05), and the stenosis rate had no significant difference between two groups. Conclusion:QFR can clarify the functional changes of coronary blood flow, select suitable anastomosis target for radial graft, reduce the occurrence of competing flow, and then improve the patency rate and clinical prognosis.

Objective:To explore the biological behavior of small tumor (≤1.0 cm) breast cancer with axillary lymph node metastasis as the first symptom, and to provide a powerful reference for clinical accurate treatment.Methods:The clinical, pathological and follow-up data of 60 breast cancer patients with small tumor and axillary lymph node metastasis as the first symptom admitted to the Second Affiliated Hospital of Harbin Medical University and the Third Affiliated Hospital of Harbin Medical University from 2017 to 2019 were analyzed retrospectively (study group). Meanwhile, non-small tumor with negative lymph node (control group A), non-small tumor with positive lymph node (control group B) and small tumor with negative lymph node (control group C) were included as control groups. Selected estrogen receptor(ER), progesterone receptor(PR), human epidermal growth factor receptor-2(Her-2) and Ki67 to compare and analyze the difference between primary lesions and axillary lymph node metastasis, and made a comprehensive analysis with the follow-up data.Results:There were no statistically significant differences in the four indexes in primary lymph nodes and metastatic lymph nodes between the study group and the control group ( P>0.05). The expression of HER-2 in control group B, study group, control group C, control group A showed a decreasing trend. In the study group, there were 19 cases with >3 axillary lymph node metastasis, the positive rate of HER-2 was 11/19, and 37 cases with 3 lymph node metastasis, the positive rate of HER-2 was 21.6%(8/37), the difference was statistically significant ( P<0.05), but there was no significant difference in the expression of ER, PR and Ki67 ( P>0.05). In control group B, there was no significant difference between the groups with >3 axillary lymph node metastasis and 3 groups ( P>0.05). Combined with the follow-up data, in the study group with >3 lymph node metastasis, there were 4 cases with distant metastasis and Ki67 expression rate was 4/4, while there were 13 cases with no distant metastasis and Ki67 expression rate was 5/13, the difference was statistically significant ( P<0.05). Conclusions:The expressions of ER, PR, Her-2 and Ki67 in primary breast cancer including small tumor and axillary lymph node metastasis are consistent. In most cases, the overall condition can be evaluated by biological indicators of primary disease, but some patients do have inconsistencies, which should arouse the attention of clinicians for comprehensive condition evaluation. Her-2 positive expression seems to be related to axillary lymph node metastasis as a whole, especially in small tumor breast cancer with T≤1.0 cm. For patients with axillary lymph node metastasis and invasive ductal carcinoma with primary lesion ≤1.0 cm, the high expression of Ki67 seems to indicate that distant metastasis is more likely to occur in the longer term.

As one of the three major nutrients, dietary lipids provide energy and nutrition for human. The quantity and quality of dietary lipids affect the composition of gut microbiota, which consequently may affect the host metabolic health. Development of disease animal models is an important approach to study the relationship between gut microbiota and human metabolic health. In this review, we discussed the types of dietary lipids, and summarized how dietary lipids affect the composition of gut microbiota and regulate the metabolic health of animal models. The clarification of potential underlying mechanisms will shed lights on future research in other live systems including human.
Animals ; Dietary Fats ; Gastrointestinal Microbiome ; Humans