Objective:To investigate the effect of nourishing yin and tonifying yang method on inflammatory response and bone metabolism in patients with T2DM complicated with osteoporosis (OP).Methods:A randomized controlled trial. From January 2022 to December 2023,80 patients with T2DM and OP in our hospital were selected as the observation objects, and they were divided into two groups by random number table method, with 40 cases in each group.On the basis of conventional treatment, the control group chewed vitamin D calcium chewable tablets, and the observation group added nourishing yin and tonifying yang Chinese medicine.Both groups were treated for 6 months. TCM syndrome scores were performed before and after treatment ;the levels of fasting blood glucose (FPG), 2 hPG and HbA1c were detected by intelligent blood glucose monitor;the levels of serum neutrophils and lymphocytes were detected by automatic blood analyzer, and the neutrophil/lymphocyte ratio (NLR) was calculated;the levels of serum IL-1β and TNF-α were detected by automatic chemiluminescence analyzer, the levels of type I procollagen amino terminal propeptide (PINP), type I collagen carboxy terminal peptide β special sequence (β-CTX) and 25-hydroxy vitamin D3 [25-(OH)D3] were detected by ELISA;Bone mineral density (BMD) was detected by bone mineral density detector. The adverse reactions during treatment were observed and recorded, and the clinical efficacy was evaluated.Results:The total effective rate was 92.5 %(37/40) in the observation group and 75.0 % (30/40) in the control group,the difference between the two groups was statistically significant ( &chi;2=4.50, P=0.034).After treatment, the scores of soreness and weakness of waist and knees, soreness and pain of waist and back, clear and long urine, pale tongue and white coating in the observation group were lower than those in the control group ( t=3.11, 3.75, 3.51, 3.74, P<0.01);the levels of serum FPG, 2 hPG and HbA1c in the observation group were lower than those in the control group ( t=3.11,3.20,3.39, P<0.01).The levels of serum NLR (2.63 ± 0.68 vs. 3.24 ± 0.79, t=3.70), IL-1β [(81.65 ± 8.30) ng/L vs. (89.03 ± 8.98) ng/L, t=3.82] and TNF-α [(35.14 ± 5.11) μg/L vs. (39.96 ± 5.38) μg/L, t=4.11] in the observation group were lower than those in the control group ( P<0.01). After treatment, the levels of PINP [(29.83 ± 3.92) ng/L vs. (34.02 ± 4.03) ng/L, t=4.71] and β-CTX [(21.30 ± 3.95 ) ng/L vs. (25.32 ± 4.18) ng/L, t=4.42] in the observation group were lower than those in the control group ( P<0.01), the levels of 25-(OH)D3 [(42.86 ± 5.12) μg/L vs. (38.08 ± 4.55) μg/L, t=4.41] and BMD [(0.90 ± 0.18) g/cm 3vs. (0.78 ± 0.16) g/cm 3, t=3.15] were higher than those in the control group ( P<0.01).During the treatment, the incidence of adverse reactions was 12.5% (5/40) in the observation group and 10.0 % (4/40) in the control group,there was no significant difference between the two groups ( &chi;2=0.13, P=0.723). Conclusion:The method of nourishing yin and tonifying yang can effectively improve the TCM syndromes of T2DM patients with OP, reduce the levels of blood glucose and inflammatory factors, improve bone metabolism, improve clinical efficacy and have good treatment safety.

Objective To compare the safety and efficacy of minimally invasive coronary artery bypass grafting (MICS CABG) and traditional CABG in patients with coronary heart disease (CHD) and diabetes mellitus (DM). Methods From 2019 to 2021, the patients who received CABG by the same medical group in the Minimally Invasive Cardiac Surgery Center of Beijing Anzhen Hospital were retrospectively enrolled. According to the surgery methods, the patients were divided into two groups: a MICS CABG group and a conventional group. The perioperative and postoperative follow-up data of patients were collected. The main observation results included all cause death events, myocardial infarction, cerebrovascular, revascularization, and adverse wound healing. Results According to the inclusion and exclusion criteria, 140 patients were enrolled, including 66 patients in the MICS CABG group [56 males and 10 females, aged (61.83±8.94) years], and 74 patients in the conventional group [55 males and 19 females, aged (58.61±8.26) years]. Compared with the conventional group, patients in the MICS CABG group had longer median surgical time (4.50 h vs. 4.00 h, P=0.005), less intraoperative bleeding (600.00 mL vs. 700.00 mL, P=0.020), and a lower rate of secondary debridement and suturing of surgical wounds (4.5% vs. 16.2%, P=0.023). The median follow-up time was 2.54 years. There was no statistically significant difference in the cumulative incidence of major adverse cardiac and cerebrovascular events (7.6% vs. 5.4%), all-cause mortality (0.0% vs. 0.0%), myocardial infarction (3.0% vs. 2.7%), cerebrovascular events (4.5% vs. 2.7%), or revascularization (0.0% vs. 0.0%) between the two groups of patients during the postoperative follow-up (P>0.05). Conclusion MICS CABG can achieve the same revascularization effect as traditional CABG in patients with CHD and DM. MICS CABG can effectively reduce adverse clinical outcomes or complications such as adverse chest wound healing and slow postoperative recovery of body function in patients with DM.

BACKGROUND:The use of 3D-printed patient-specific instruments in opening wedge high tibial osteotomy has advantages such as shorter operative time,fewer fluoroscopic exposures,and higher correction accuracy.However,previous studies have reported issues such as significant damage to surrounding soft tissues and improper fixation of the plates. OBJECTIVE:To investigate the clinical efficacy of using 3D-printed patient-specific instruments combined with customized locking plate in opening wedge high tibial osteotomy for the treatment of knee osteoarthritis. METHODS:A total of 20 patients diagnosed with knee osteoarthritis were divided into the 3D group(n=10)and the conventional group(n=10)according to surgical methods.The 3D group underwent opening wedge high tibial osteotomy using 3D-printed patient-specific instruments combined with customized locking plate,while the conventional group underwent opening wedge high tibial osteotomy using conventional methods.The operative time,fluoroscopic exposures,incision length,pre-and postoperative hip-knee-ankle angle,medial proximal tibial angle,posterior tibial slope,the difference between the planned and actual correction angle,preoperative and 1,3,6 months postoperative knee range of motion and Lysholm score,and incidence of complications were analyzed and compared between the two groups. RESULTS AND CONCLUSION:(1)The operative time and fluoroscopic exposures were significantly shorter in the 3D group compared to the conventional group,with a statistically significant difference(P<0.001).(2)Both groups showed a significant improvement in postoperative hip-knee-ankle angle and medial proximal tibial angle compared to preoperative values,with a statistically significant difference(P<0.001),while there was no significant change in posterior tibial slope.In the 3D group,the postoperative hip-knee-ankle angle,medial proximal tibial angle,and posterior tibial slope differed from their respective preoperative planned values by(-0.22±0.72)°,(-0.20±0.73)°,and(0.23±0.37)°,but the differences were not statistically significant.The difference between the planned and actual correction angle of 3D group was significantly smaller than that of conventional group(P<0.05).(3)Both groups showed a gradual increase in knee range of motion and Lysholm scores after surgery(P<0.001).Compared to the conventional group,the 3D group had superior knee range of motion at 1 and 3 months postoperatively,as well as a higher Lysholm score at 1 month postoperatively,with statistically significant differences(P<0.05).There were no statistically significant differences in Lysholm score at 3 months and knee range of motion and Lysholm score at 6 months between the two groups(P>0.05).(4)Complications occurred in neither groups.(5)The above results indicate that both 3D-printed patient-specific instruments combined with customized locking plate and conventional methods have good clinical efficacy.However,the former has a shorter operative time,fewer fluoroscopic exposures,and faster postoperative recovery of knee joint function.Additionally,3D-printed patient-specific instruments can achieve preoperative planning accurately.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Ischemic stroke(IS) is a complex pathological process involving multiple cellular and molecular mechanisms and it is characterized by high mortality, high disability, and high recurrence. In recent years, the incidence of IS in China has been increasing year by year, and it has a trend of occurring in increasingly young individuals. Herb pairs are the smallest unit of traditional Chinese medicine(TCM) compatibility and an important part of TCM compounding, and the research on them is of great significance in guiding the clinical medication. Pharmacological studies have confirmed that certain herb pairs can exert anti-ischemic effects through various pathways such as reducing inflammation, alleviating oxidative stress, protecting the nervous system, and promoting neovascularization. By reviewing the relevant articles in the past decade, this paper probes into the combination rules, modern experimental studies, and combination ratios of the commonly used herb pairs from the etiology and pathogenesis of IS and summarizes 18 commonly used and deeply studied herb pairs, with a view to providing reference for the application, research, and development of clinical medicines.
Humans ; Drugs, Chinese Herbal/chemistry* ; Animals ; Ischemic Stroke/metabolism* ; Medicine, Chinese Traditional

This study selected 6 529 plant-based Chinese materia medica(PCMM) from Chinese Materia Medica as research subjects and applied a random permutation test to explore the overall correlation characteristics between nature and flavor, as well as the correlation characteristics after distinguishing different medicinal parts and harvest seasons. The results showed that the overall correlation characteristics between nature and flavor in PCMM were significantly associated in the following pairs: cold and bitter, cool and bitter, cool and astringent, cool and light, neutral and sweet, neutral and astringent, neutral and light, neutral and sour, hot and pungent, and warm and pungent. When analyzing the data by distinguishing medicinal parts and/or harvest seasons, new correlation patterns emerged, characterized by the disappearance of some significant correlations and the emergence of new ones. When analyzing by medicinal parts alone, significant correlations were found in the following cases: cold and light in leaves, cold and salty in barks, cool and sweet in fruits and seeds, neutral and pungent in whole herbs, neutral and salty in stems, and warm and salty in flowers. However, no significant correlations were found between cool and bitter in stems and other types of herbs, cool and astringent in fruits, seeds, flowers, and other types of herbs, cool and light in leaves, fruits, seeds, barks, flowers and other types of herbs, neutral and sweet in barks, neutral and astringent in whole herbs and stems, neutral and light in leaves, fruits, seeds, and flowers, neutral and sour in whole herbs, stems, barks, flowers, and other types of herbs, and hot and pungent in whole herbs, stems, flowers, and other types of herbs. When analyzing by harvest season alone, significant correlations were found in the following cases: cold and salty, and cool and sour in herbs harvested in winter, and neutral and salty in herbs harvested year-round. However, no significant correlation was found between cool and light in herbs harvested in winter. When considering both medicinal parts and harvest seasons, compared to the independent influence of medicinal parts, 14 new significant correlations emerged(e.g., the correlation between cool and bitter in stems harvested in spring), while 53 previously significant correlations disappeared(e.g., the correlation between cool and bitter in barks harvested in summer). Compared to the independent influence of harvest seasons, 11 new significant correlations appeared(e.g., the correlation between cold and light in barks harvested in autumn), while 50 previously significant correlations disappeared(e.g., the correlation between hot and pungent in leaves harvested in winter). This study is the first to reveal the influence of medicinal parts and harvest seasons on the correlation between nature and flavor in PCMM, which highlights that these two factors can interact and jointly affect nature-flavor correlations. Further research is needed to explore the underlying mechanisms. This study provides a deeper understanding of the inherent scientific connotations of herbal properties and offers a theoretical foundation for the cultivation and harvesting of PCMM.
Seasons ; Plants, Medicinal/growth & development* ; Drugs, Chinese Herbal/chemistry* ; Taste

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Cancer is a serious global health problem and a major cause of human death. Conventional cancer treatments often run the risk of impairing vital organ functions. Anticancer peptides (ACPs) are considered to be one of the most promising therapeutic agents against common human cancers due to their small sizes, high specificity, and low toxicity. Since ACP recognition is highly limited to the laboratory, expensive, and time-consuming, we proposed pLM4ACP, a model for predicting ACPs based on machine learning and protein language models. In this model, the protein language model ProtT5 was used to extract the features of ACPs, and the extracted features were input into the support vector machine (SVM) classification algorithm for optimization and performance evaluation. The model showcased significantly higher accuracy than other methods, with the overall accuracy of 0.763, F1-score of 0.767, Matthews correlation coefficient of 0.527, and area under the curve of 0.827 on the independent test set. This study constructs an efficient anticancer peptide prediction model based on protein language models, further advancing the application of artificial intelligence in the biomedical field and promoting the development of precision medicine and computational biology.
Machine Learning ; Antineoplastic Agents/chemistry* ; Humans ; Peptides/chemistry* ; Support Vector Machine ; Algorithms ; Computational Biology/methods* ; Neoplasms/drug therapy*