Objective To compare the efficacy of trastuzumab plus pertuzumab(HP)combined with either nab-paclitaxel plus carboplatin or docetaxel plus carboplatin as neoadjuvant therapy for HER2-positive breast cancer in real-world clinical practice.Methods Clinical data of HER2-positive breast cancer patients who received neoadjuvant therapy with either HP combined with nab-paclitaxel plus carboplatin or HP combined with docetaxel plus carboplatin and subsequently underwent surgery were retrospectively collected from 11 tertiary grade-A hospitals in Hebei Province from June 2019 to December 2021.The total pathological complete response(tpCR)rates of the two groups were compared.Results A total of 76 patients were included in the study,with 47 in the nab-paclitaxel group and 29 in the docetaxel group.The tpCR rate was significantly higher in the nab-paclitaxel group than that in the docetaxel group(72.3%vs.48.3%,χ2=4.463,P=0.035).Subgroup analysis indicated that patients older than 40 years,with cN2-3,cTNM stage Ⅲ,hormone receptor-positive status,and Ki67>30%had significantly higher tpCR rates in the nab-paclitaxel group than those in the docetaxel group(P<0.05).Conclusion In real-world clinical practice,the efficacy of HP combined with nab-paclitaxel plus carboplatin as neoadjuvant therapy for HER2-positive breast cancer is superior to that of HP combined with docetaxel plus carboplatin.

Presynaptic dopaminergic PET imaging is a useful method for the diagnosis of parkinsonism. Based on the expert consensus on operation and clinical application of dopamine transporter brain PET imaging technology published in 2020, this paper further recommends the relevant elements of result interpretation of presynaptic dopaminergic PET imaging.

Medication-related osteonecrosis of the jaw (MRONJ) is primarily associated with administering antiresorptive or antiangiogenic drugs. Despite significant research on MRONJ, its pathogenesis and effective treatments are still not fully understood. Animal models can be used to simulate the pathophysiological features of MRONJ, serving as standardized in vivo experimental platforms to explore the pathogenesis and therapies of MRONJ. Rodent models exhibit excellent effectiveness and high reproducibility in mimicking human MRONJ, but classical methods cannot achieve a complete replica of the pathogenesis of MRONJ. Modified rodent models have been reported with improvements for better mimicking of MRONJ onset in clinic. This review summarizes representative classical and modified rodent models of MRONJ created through various combinations of systemic drug induction and local stimulation and discusses their effectiveness and efficiency. Currently, there is a lack of a unified assessment system for MRONJ models, which hinders a standard definition of MRONJ-like lesions in rodents. Therefore, this review comprehensively summarizes assessment systems based on published peer-review articles, including new approaches in gross observation, histological assessments, radiographic assessments, and serological assessments. This review can serve as a reference for model establishment and evaluation in future preclinical studies on MRONJ.
Animals ; Bisphosphonate-Associated Osteonecrosis of the Jaw/drug therapy* ; Bone Density Conservation Agents/adverse effects* ; Diphosphonates/therapeutic use* ; Humans ; Reproducibility of Results ; Rodentia

Background: We hypothesized that specific amino acids or acylcarnitines would have benefits for the differential diagnosis of diabetes. Thus, a targeted metabolomics for amino acids and acylcarnitines in patients with diabetes and its complications was carried out. Methods: A cohort of 54 normal individuals and 156 patients with type 2 diabetes mellitus and/or diabetic complications enrolled from the First Affiliated Hospital of Jinzhou Medical University was studied. The subjects were divided into five main groups: normal individuals, impaired fasting glucose, overt diabetes, diabetic microvascular complications, and diabetic peripheral vascular disease. The technique of tandem mass spectrometry was applied to obtain the plasma metabolite profiles. Metabolomics multivariate statistics were applied for the metabolic data analysis and the differential metabolites determination. Results: A total of 10 cross-comparisons within diabetes and its complications were designed to explore the differential metabolites. The results demonstrated that eight comparisons existed and yielded significant metabolic differences. A total number of 24 differential metabolites were determined from six selected comparisons, including up-regulated amino acids, down-regulated medium-chain and long-chain acylcarnitines. Altered differential metabolites provided six panels of biomarkers, which were helpful in distinguishing diabetic patients. Conclusion Our results demonstrated that the biomarker panels consisted of specific amino acids and acylcarnitines which could reflect the metabolic variations among the different stages of diabetes and might be useful for the differential diagnosis of prediabetes, overt diabetes and diabetic complications.

Background: We hypothesized that specific amino acids or acylcarnitines would have benefits for the differential diagnosis of diabetes. Thus, a targeted metabolomics for amino acids and acylcarnitines in patients with diabetes and its complications was carried out. Methods: A cohort of 54 normal individuals and 156 patients with type 2 diabetes mellitus and/or diabetic complications enrolled from the First Affiliated Hospital of Jinzhou Medical University was studied. The subjects were divided into five main groups: normal individuals, impaired fasting glucose, overt diabetes, diabetic microvascular complications, and diabetic peripheral vascular disease. The technique of tandem mass spectrometry was applied to obtain the plasma metabolite profiles. Metabolomics multivariate statistics were applied for the metabolic data analysis and the differential metabolites determination. Results: A total of 10 cross-comparisons within diabetes and its complications were designed to explore the differential metabolites. The results demonstrated that eight comparisons existed and yielded significant metabolic differences. A total number of 24 differential metabolites were determined from six selected comparisons, including up-regulated amino acids, down-regulated medium-chain and long-chain acylcarnitines. Altered differential metabolites provided six panels of biomarkers, which were helpful in distinguishing diabetic patients. Conclusion Our results demonstrated that the biomarker panels consisted of specific amino acids and acylcarnitines which could reflect the metabolic variations among the different stages of diabetes and might be useful for the differential diagnosis of prediabetes, overt diabetes and diabetic complications.

The robotic bronchoscopy system is a new technology for lung lesion location, biopsy and interventional therapy. Its safety and effectiveness have been clinically proven. Based on many advanced technologies carried by the robotic bronchoscopy system, it is more intelligent, convenient and stable when clinicians perform bronchoscopy operations. It has higher accuracy and diagnostic rates, and less complications than bronchoscopy with the assistance of magnetic navigation and ordinary bronchoscopy. This article gave a review of the progress of robotic bronchoscopy systems, and a prospect of the combination with artificial intelligence.

ObjectiveTo investigate the feasibility of apical sodium-dependent bile salt transporter (ASBT) and asialoglycoprotein receptor (ASGPR) in the design of oral liver-targeting preparations for the treatment of hepatic alveolar echinococcosis (HAE) by measuring the expression of ASBT and ASGPR. MethodsA total of 18 male Sprague-Dawley rats were selected, among which 10 were used to establish a model of HAE (HAE group) and 8 were used as controls (normal group). Immunofluorescence assay, Western blotting, and quantitative real-time PCR were used to measure the expression distribution, protein expression level, and mRNA expression level of ASBT in the ileal tissue of HAE model rats and normal rats; the same methods were used to measure the expression level of ASGPR in the non-diseased liver tissue and the marginal zone of liver tissue lesion of HAE model rats and the liver tissue of normal rats. The t-test was used for comparison of normally distributed continuous data between two groups; a one-way analysis of variance was used for comparison between three groups, and the least significant difference t-test was used for comparison between two groups. ResultsThe results of immunofluorescence assay, Western blotting, and quantitative real-time PCR showed that compared with the normal group, the HAE group had significantly upregulated expression of ASBT in the ileal tissue (t=5309, 4.110, and 28.060, all P＜0.05) and a significantly higher expression level of ASGPR (the closer to the lesion, the higher the expression) (F=110666, 128.201, and 143.879, all P＜0.001). ConclusionASBT and ASGPR can be used as potential mediated receptors for oral liver-targeting preparations for HAE, which provides a theoretical basis for the design of oral liver-targeting preparations for the treatment of HAE.

Objective: To explore the association between the exposure to major air pollutants in pre-pregnancy and early pregnancy (peri-conceptional period) and gestational diabetes mellitus (GDM). Methods: From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check-ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM_2.5, PM₁₀, SO₂, CO and NO₂) during different periods of pre-pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results: The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high-concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre-pregnancy (χ²=61.28, P_trend<0.001) with the OR (95%CI) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre-pregnancy period, in every 10 μg/m³ increase of PM_2.5 and PM₁₀, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively; for each increase of 1 μg/m³ and 0.10 mg/m³ of SO₂ and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m³ increase in the average concentration of SO₂ in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM_2.5, PM₁₀, SO₂ and CO exposure during the pre-pregnancy and SO₂ exposure in first trimester were positively correlated with the risk of GDM.

Objective To explore the relationship between different statuses of vitamin D and parathyroid hormone (PTH) during pregnancy with glucose metabolism and the risk of gestational diabetes mellitus (GDM). Methods A total of 4138 pregnant women who had antenatal care in 3 hospitals of Hefei from March 2015 to December 2017 were recruited during 21-24 weeks. Baseline questionnaires were performed and serum 25-hydroxyvitamin D [25(OH) D] and PTH levels were measured in fasting venous blood. Glucose tolerance tests were performed during 24 to 28 weeks. Multivariate linear regression model and multivariate logistic regression model were applied to analyze the differences of glucose metabolism index and GDM risk among pregnant women at different statusesof25(OH)DandPTH.Results Theaveragelevelof25(OH)Dinthesecondtrimesterwas(39.8±16.6) nmol/L, with the median PTH 10.7 (6.9, 16.7) ng/L and the detection rate of GDM 20.4％. Covariance analysis showed no statistically significant association of vitamin D and PTH levels with glucose metabolism indexes. Pregnant women with high PTH and vitamin D deficiency had higher 1h postprandial plasma glucose ( 1hPG) , the area under the glucose curve ( AUCglu ) levels, and GDM risk compared with pregnant women with middle/lower PTH and vitamin D deficiency ( control group, all P<0.05) , and higher PTH accompanied with vitamin D non-deficiency ( Group 2, all P<0.05) . However, significant changes in glucose metabolism indicators and GDM risk were not observed in low-level PTH-pregnant women with vitamin D deficiency ( group 1) and group 2 pregnant women compared with control group. Conclusion There is an interaction between vitamin D/PTH levels and glucose metabolism during pregnancy. Vitamin D deficiency with elevated PTH level is associated with abnormal glucose metabolism.

To explore the association between the exposure to major air pollutants in pre?pregnancy and early pregnancy (peri?conceptional period) and gestational diabetes mellitus (GDM). Methods From March 2015 to April 2018, 4 817 pregnancies were recruited at three prenatal check?ups hospital in Hefei (Hefei First People′s Hospital, Hefei. Maternal and Child Care Hospital and the First Affiliated Hospital of Anhui Medical University), China. Questionnaire was used to collect the demographic data, the health status and lifestyle of pregnant women. GDM was diagnosed according to the Chinese Guidelines for the Prevention and Treatment of Type 2 Diabetes (2017 Edition). Logistic regression was used to investigate the association of exposure to major air pollutants (PM2.5, PM10, SO2, CO and NO2) during different periods of pre?pregnancy (12 weeks before pregnancy) and first trimester (12 weeks after last menstruation) and duration of exposure to high levels of pollutants with GDM. Results The mean±SD of the age of subjects was (29.14±4.19) years old and the prevalence of GDM was 21.4% (n=1 030). The results of multivariate logistic regression analysis showed that after adjusting for confounding factors, the risk of GDM increased gradually with the prolonged exposure time of high?concentration pollutants compared with pregnant women who were not exposed to high pollution during the pre?pregnancy (χ2=61.28, Ptrend<0.001) with the OR (95% CI ) values for exposure time of 1, 2, and 3 months about 1.42 (1.10-1.84), 1.73 (1.29-2.33), and 2.51 (1.75-3.59), respectively. In the pre?pregnancy period, in every 10 μg/m3 increase of PM2.5 and PM10, the OR (95%CI) values of GDM were 1.14 (1.08-1.20) and 1.13 (1.08-1.19), respectively;for each increase of 1 μg/m3 and 0.10 mg/m3 of SO2 and CO, the OR (95% CI) values of GDM were 1.03 (1.01-1.05) and 1.07 (1.01-1.13), respectively. For every 1 μg/m3 increase in the average concentration of SO2 in the first trimester, the OR (95%CI) value of GDM was 1.02 (1.01-1.05). Conclusion PM2.5, PM10, SO2 and CO exposure during the pre?pregnancy and SO2 exposure in first trimester were positively correlated with the risk of GDM.