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    Journal of Internal Medicine Concepts & Practice    2021, 16 (03): 220-224.   DOI: 10.16138/j.1673-6087.2021.03.018
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    Value of serum N-terminal pro-brain natriuretic peptide levels in primary screening peritoneal dialysis patients with volume overload
    LI Hua, HUANG Xiaomin, ZHANG Chunyan, DU Lu, REN Hong, XU Tian
    Journal of Internal Medicine Concepts & Practice    2023, 18 (03): 157-164.   DOI: 10.16138/j.1673-6087.2023.03.005
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    Objective To explore the relationship between serum N-terminal pro-brain natriuretic peptide (NT-proBNP) level and hydration status and cardiac function indexes in the patients receiving peritoneal dialysis(PD) treatment,and to further analyze the factors affecting the level of NT-proBNP. Methods A total of 111 patients with PD who were followed up in the PD Center of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine from May 2019 to January 2022 were enrolled and the data was analyzed retrospectively. According to the results of multi-frequency bioelectrical impedance body composition monitor (BCM), relative hydration status (DHS), the ratio obtained through dividing extracellular water (ECW) by overhydration (OH), the patients were divided into normal volume group (OH/ECW≤15%) and overhydration group (OH/ECW>15%). The relationship between serum NT-proBNP level and hydration status in two groups was compared, and the related factors affecting the level of NT-proBNP were further analyzed and discussed. Using BCM result as the“gold standard”, the receiver operator characteristic curve(ROC curve) determined the optimal threshold of NT-proBNP as the capacity was overloaded. The patients were divided into two groups according to NT-proBNP and their clinical data were compared. Results The indexes including systolic blood pressure, urine volume, urea clearance index (Kt/V), creatinine clearance rate(CCr), dialysate to plasma ratio for urea at 4 hours(4hD/PCr), types of antihypertensive drugs, type of diuretic, hemoglobin, serum albumin, log2(NT-proBNP), interventricular septal thickness (IVST), left ventricular posterior wall thickness(LVPWT), left atrial diameter(LAD), OH, TBW, ECW, OH/TBW, ECW/TBW and ECW/ICW were detected in volume overload group and normal volume group, and showed statistically significant (all P<0.05). log2(NT-proBNP) level was correlated with systolic blood pressure, dialysis duration, ultrafiltration volume, dialysis dose, antihypertensive drug group, IVST, LVPWT, LAD, left ventricular end-systolic dimension (LVESD), left ventricular end-diastolic dimension (LVEDD), OH, OH/ECW were positively correlated (all P<0.05). It was negatively correlated with urine volume, Kt/V, CCr, normalized protein catabolic rate (nPCR), hemoglobin, serum albumin and LVEF (all P<0.05). NT-proBNP 4 896 ng/L could be used as the critical value of initial screening capacity overload and was applied to divide the patients into two groups, and the systolic blood pressure, urine volume, ultrafiltration volume, Kt/V, CCr, IVST, LVPWT, OH/ECW indicators showed significant differences (all P<0.05) in two groups. Conclusions The level of NT-proBNP in PD patients is generally increased, and it indicates volume overload as its value is greater than 4 896 ng/L, which can be used as a simple monitoring index for the preliminary judgment of volume overload in PD patients.

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    Journal of Internal Medicine Concepts & Practice    2022, 17 (04): 344-348.   DOI: 10.16138/j.1673-6087.2022.04.015
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    Advances in human respiratory microbiome and detection techniques
    WU Wenjuan, TIAN Wenjie
    Journal of Internal Medicine Concepts & Practice    2024, 19 (01): 37-42.   DOI: 10.16138/j.1673-6087.2024.01.07
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    Human respiratory microbiome has great diversity and heterogeneity in healthy and diseased states, rapid and accurate microbial detection is the key to distinguish respiratory tract infection from non-infection. In recent years, new detection technologies represented by metagenomic technology have developed rapidly in the field of pathogen diagnosis, which improves the detection rate of pathogenic microorganisms, and also makes great breakthroughs in analyzing human host reaction and predicting drug resistance. This article reviews the research progress and achievements of molecular technology in the respiratory microbiome, inspiring readers to think about the development and clinical transformation of new technologies in the future, aiming to explore therapeutic strategies for respiratory diseases based on the respiratory microbiome.

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    COVID-19 vaccine induced thyroid disease: challenges and strategies
    YUAN Li, XIANG Pingping, CHEN Guofang, et al
    Journal of Internal Medicine Concepts & Practice    2023, 18 (02): 121-123.   DOI: 10.16138/j.1673-6087.2023.02.012
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    Research progress of miRNA-206 on lung diseases
    ZHANG Lulu, WU Qiannan, HUO Rujie, et al
    Journal of Internal Medicine Concepts & Practice    2022, 17 (05): 413-417.   DOI: 10.16138/j.1673-6087.2022.05.014
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    Novel coronavirus infection: a new challenge for the management of thyroid disease
    XIANG Pingping, LIU Chao
    Journal of Internal Medicine Concepts & Practice    2022, 17 (06): 486-490.   DOI: 10.16138/j.1673-6087.2022.06.013
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    Journal of Internal Medicine Concepts & Practice    2021, 16 (01): 53-59.   DOI: 10.16138/j.1673-6087.2021.01.012
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    Journal of Internal Medicine Concepts & Practice    2021, 16 (06): 438-441.   DOI: 10.16138/j.1673-6087.2021.06.015
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    Research progress on pathogenesis of diabetic nephropathy
    BI Liming, WANG Zhaohui
    Journal of Internal Medicine Concepts & Practice    2023, 18 (03): 201-205.   DOI: 10.16138/j.1673-6087.2023.03.014
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    Journal of Internal Medicine Concepts & Practice    2022, 17 (03): 258-261.   DOI: 10.16138/j.1673-6087.2022.03.017
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    Journal of Internal Medicine Concepts & Practice    2022, 17 (03): 267-272.   DOI: 10.16138/j.1673-6087.2022.03.019
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    Journal of Internal Medicine Concepts & Practice    2022, 17 (01): 15-23.   DOI: 10.16138/j.1673-6087.2022.01.004
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    Advances in study of PCSK9 inhibitors in treatment of non-alcoholic fatty liver disease
    SHEN Yun, XU Yijiao, WEI Xiao, ZHANG Ruixiang, LIU Chao
    Journal of Internal Medicine Concepts & Practice    2024, 19 (02): 136-139.   DOI: 10.16138/j.1673-6087.2024.02.09
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    Non-alcoholic fatty liver disease (NAFLD) is the chronic liver disease with the highest incidence rate, and its main cause is due to disorders of lipid metabolism and damage to the liver caused by ectopic fat deposition. Proprotein convertase bacillus subtilis/ kexin type 9 (PCSK9), as a lipid-regulating protease in vivo, plays a key role in abnormal lipid metabolism. Dyslipidemia levels can be significantly improved by inhibiting PCSK9 binding to receptors circulating in vivo. Therefore, PCSK9 inhibitors may improve the condition of NAFLD patients and achieve therapeutic effects.

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    Journal of Internal Medicine Concepts & Practice    2021, 16 (05): 361-365.   DOI: 10.16138/j.1673-6087.2021.05.015
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    Journal of Internal Medicine Concepts & Practice    2022, 17 (03): 202-207.   DOI: 10.16138/j.1673-6087.2022.03.006
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    Study on the relationship between vitamin D deficiency and Hashimoto’s thyroiditis
    FU Jiawen, LI Xiaohua, ZHANG Hongli, XU Yanhong, ZHU Yi
    Journal of Internal Medicine Concepts & Practice    2021, 16 (01): 27-31.   DOI: 10.16138/j.1673-6087.2021.01.007
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    Objective To evaluate the relationship between Hashimoto’s thyroiditis (HT) and 25-hydroxy vitamin D. Methods A total of 334 HT patients were enrolled from the endocrine department of our hospital from January 2017 to December 2019, and 300 non-HT patients were selected as the control. There was no significant difference in gender and age composition between the two groups(P>0.05). The indexes of liver function, renal function, blood glucose, blood lipid, electrolyte level, thyroid function, thyroid antibody and vitamin D level of the two groups were collected and analyzed. Results Compared with the control group, there was no significant difference in vitamin D level and vitamin D deficiency rate between the HT group and the control group (P>0.05), while the thyroid stimulating hormone (TSH) level and the incidence of subclinical hypothyroidism in the HT group was significantly higher than that in the control group(P<0.05). The vitamin D level of female HT patients was lower and the cases of subclinical hypothyroidism were more(P<0.05). The HT patients with vitamin D deficiency were more likely to show subclinical hypothyroidism than the HT patients with normal vitamin D. Serum free triiodothyronine(FT3) was a protective factor for 25-hydroxy vitamin D[odds ratio(OR)=0.958, P=0.002], serum TSH(OR=1.080, P=0.002) and female(OR=1.167, P=0.001) were risk factors for 25-hydroxy vitamin D. Conclusions The vitamin D deficiency is prevalent in the population, especially in female. Vitamin D deficiency can lead to higher TSH level and increase the incidence of subclinical hypothyroidism in HT patients.

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    Geometric deep learning and computational medicine research prospects of “preventing disease” in pre diabete
    RUAN Ming, HOU Tianzhichao, WANG Haiyan, et al
    Journal of Internal Medicine Concepts & Practice    2022, 17 (06): 475-481.   DOI: 10.16138/j.1673-6087.2022.06.011
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    Journal of Internal Medicine Concepts & Practice    2021, 16 (05): 289-293.   DOI: 10.16138/j.1673-6087.2021.05.001
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    Bioinformatics analysis and identification of cuproptosis characteristic genes for acute pancreatitis by machine learning
    WANG Zhuoxin, HUANG Xinyang, JIN Yixun, WANG Lifu
    Journal of Internal Medicine Concepts & Practice    2024, 19 (04): 224-230.   DOI: 10.16138/j.1673-6087.2024.04.02
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    Objective To discover the characteristic genes of cuproptosis in acute pancreatitis (AP). Methods The expression of cuproptosis-related genes (CRG) in the GSE1943 dataset was extracted and performed differential analysis and immune cell correlation analysis. The different subtypes were classified according to the expression of CRG, and metabolic pathway enrichment was performed using gene set variation analysis. Four machine learning algorithms, including generalized linear models, random forest, support vector machine and extreme gradient boosting were used to screen disease characteristic genes. Results A total of 13 CRG were differentially expressed in AP (P<0.05), and CRG were not only correlated to each other in different degrees, but also had correlation with multiple immune cells (P<0.05). There were four immune-related pathways among the two subtypes obtained by cluster analysis, in which the T-cell receptor signaling pathway was noteworthy. Further analysis revealed significant difference between the two subtypes of multiple T cells (P<0.05). Each machine learning algorithm screened out five characteristic genes, and dihydrolipoamide dehydrogenase (DLD) was obtained as the next target of research. Conclusions CRG-based machine learning and bioinformatics analyses could be used to explore CRG in AP to discover potential biomarkers.

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