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  1. Article: Smoking, alcohol consumption, and frailty: A Mendelian randomization study.

    Lv, Jiannan / Wu, Lianghua / Sun, Sheng / Yu, Huifang / Shen, Zekai / Xu, Jun / Zhu, Jiahao / Chen, Dingwan / Jiang, Minmin

    Frontiers in genetics

    2023  Volume 14, Page(s) 1092410

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-02-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1092410
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: CagA-positive

    Du, Qiuying / Zeng, Houyang / Pang, Xianwu / Cao, Jianyu / Xie, Bo / Long, Chunyi / Liang, Liudan / Deng, Fenglian / Huang, Meijin / Li, Li / Huang, Fengyan / Liu, Xinli / Hu, Yanling / Lv, Jiannan

    Frontiers in microbiology

    2024  Volume 15, Page(s) 1351784

    Abstract: Helicobacter ... ...

    Abstract Helicobacter pylori
    Language English
    Publishing date 2024-01-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587354-4
    ISSN 1664-302X
    ISSN 1664-302X
    DOI 10.3389/fmicb.2024.1351784
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: IFI27 is a potential therapeutic target for HIV infection.

    Huang, Huijuan / Lv, Jiannan / Huang, Yonglun / Mo, Zhiyi / Xu, Haisheng / Huang, Yiyang / Yang, Linghui / Wu, Zhengqiu / Li, Hongmian / Qin, Yaqin

    Annals of medicine

    2022  Volume 54, Issue 1, Page(s) 314–325

    Abstract: Background: Therapeutic studies against human immunodeficiency virus type 1 (HIV-1) infection have become one of the important works in global public health.: Methods: Differential expression analysis was performed between HIV-positive (HIV+) and HIV- ...

    Abstract Background: Therapeutic studies against human immunodeficiency virus type 1 (HIV-1) infection have become one of the important works in global public health.
    Methods: Differential expression analysis was performed between HIV-positive (HIV+) and HIV-negative (HIV-) patients for GPL6947 and GPL10558 of GSE29429. Coexpression analysis of common genes with the same direction of differential expression identified modules. Module genes were subjected to enrichment analysis, Short Time-series Expression Miner (STEM) analysis, and PPI network analysis. The top 100 most connected genes in the PPI network were screened to construct the LASSO model, and AUC values were calculated to identify the key genes. Methylation modification of key genes were identified by the chAMP package. Differences in immune cell infiltration between HIV + and HIV- patients, as well as between antiretroviral therapy (ART) and HIV + patients, were calculated using ssGSEA.
    Results: We obtained 3610 common genes, clustered into nine coexpression modules. Module genes were significantly enriched in interferon signalling, helper T-cell immunity, and HIF-1-signalling pathways. We screened out module genes with gradual changes in expression with increasing time from HIV enrolment using STEM software. We identified 12 significant genes through LASSO regression analysis, especially proteasome 20S subunit beta 8 (PSMB8) and interferon alpha inducible protein 27 (IFI27). The expression of PSMB8 and IFI27 were then detected by quantitative real-time PCR. Interestingly, IFI27 was also a persistently dysregulated gene identified by STEM. In addition, 10 of the key genes were identified to be modified by methylation. The significantly infiltrated immune cells in HIV + patients were restored after ART, and IFI27 was significantly associated with immune cells.
    Conclusion: The above results provided potential target genes for early diagnosis and treatment of HIV + patients. IFI27 may be associated with the progression of HIV infection and may be a powerful target for immunotherapy.
    MeSH term(s) HIV Infections/drug therapy ; HIV Infections/genetics ; Humans ; Membrane Proteins/genetics ; Membrane Proteins/therapeutic use
    Chemical Substances IFI27 protein, human ; Membrane Proteins
    Language English
    Publishing date 2022-01-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1004226-x
    ISSN 1365-2060 ; 1651-2219 ; 0785-3890 ; 1743-1387
    ISSN (online) 1365-2060 ; 1651-2219
    ISSN 0785-3890 ; 1743-1387
    DOI 10.1080/07853890.2021.1995624
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Oxidative Catalytic Cracking and Reforming of Coal Pyrolysis Volatiles over NiO

    Wang, Dechao / Jin, Lijun / Wei, Baoyong / Lv, Jiannan / Li, Yang / Hu, Haoquan

    Energy & fuels. 2020 May 14, v. 34, no. 6

    2020  

    Abstract: Catalytic cracking of Pingshuo (PS) coal pyrolysis volatiles was investigated over NiO on a two-stage fixed bed reactor. The effect of the NiO loading amount and catalytic upgrading temperature on the products distribution was investigated, and the role ... ...

    Abstract Catalytic cracking of Pingshuo (PS) coal pyrolysis volatiles was investigated over NiO on a two-stage fixed bed reactor. The effect of the NiO loading amount and catalytic upgrading temperature on the products distribution was investigated, and the role of NiO during the catalytic upgrading was discussed through several characterizations. It is shown that the partial reduced NiO to Ni during catalytic cracking results in oxidative catalytic cracking and reforming of coal pyrolysis volatiles. The tar yield decreases from 14.2 wt % without using NiO to 3.6 wt % with 9.0 g NiO loading at a cracking temperature of 550 °C, corresponding to the tar conversion being 74.6 wt %. With the increase of the cracking temperature, the tar yield decreases first and then increases, and the lowest tar yield is 5.2 wt % at 550 °C over 6 g NiO loading. After catalytic cracking of coal pyrolysis volatiles, the used NiO is fully reduced to Ni, and the catalytic performance of used NiO was evaluated three times. The results indicate that the NiO-2nd (used NiO) shows high tar reforming performance in terms of the decrease of tar (10.7 wt %) and water yield (4.8 wt %), and H₂ yield increases significantly to 104 mL/g coaldₐf at 550 °C compared to those without using NiO. However, the catalytic performance of used NiO decreases gradually with increase of cycle times; the tar and water yield increase to 13.3 and 7.4 wt %, respectively, and H₂ yield decreases to 31 mL/g coaldₐf over NiO-4th. The gradual decrease of catalytic performance of used NiO is due to the deposition of carbon and formation of Ni₂S₃.
    Keywords carbon ; catalytic activity ; coal ; energy ; nickel oxide ; pyrolysis ; temperature ; water yield ; yields
    Language English
    Dates of publication 2020-0514
    Size p. 6928-6937.
    Publishing place American Chemical Society
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1483539-3
    ISSN 1520-5029 ; 0887-0624
    ISSN (online) 1520-5029
    ISSN 0887-0624
    DOI 10.1021/acs.energyfuels.0c00771
    Database NAL-Catalogue (AGRICOLA)

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  5. Article ; Online: Prediction of the risk of cytopenia in hospitalized HIV/AIDS patients using machine learning methods based on electronic medical records.

    Huang, Liling / Xie, Bo / Zhang, Kai / Xu, Yuanlong / Su, Lingsong / Lv, Yu / Lu, Yangjie / Qin, Jianqiu / Pang, Xianwu / Qiu, Hong / Li, Lanxiang / Wei, Xihua / Huang, Kui / Meng, Zhihao / Hu, Yanling / Lv, Jiannan

    Frontiers in public health

    2023  Volume 11, Page(s) 1184831

    Abstract: Background: Cytopenia is a frequent complication among HIV-infected patients who require hospitalization. It can have a negative impact on the treatment outcomes for these patients. However, by leveraging machine learning techniques and electronic ... ...

    Abstract Background: Cytopenia is a frequent complication among HIV-infected patients who require hospitalization. It can have a negative impact on the treatment outcomes for these patients. However, by leveraging machine learning techniques and electronic medical records, a predictive model can be developed to evaluate the risk of cytopenia during hospitalization in HIV patients. Such a model is crucial for designing a more individualized and evidence-based treatment strategy for HIV patients.
    Method: The present study was conducted on HIV patients who were admitted to Guangxi Chest Hospital between June 2016 and October 2021. We extracted a total of 66 clinical features from the electronic medical records and employed them to train five machine learning prediction models (artificial neural network [ANN], adaptive boosting [AdaBoost], k-nearest neighbour [KNN] and support vector machine [SVM], decision tree [DT]). The models were tested using 20% of the data. The performance of the models was evaluated using indicators such as the area under the receiver operating characteristic curve (AUC). The best predictive models were interpreted using the shapley additive explanation (SHAP).
    Result: The ANN models have better predictive power. According to the SHAP interpretation of the ANN model, hypoproteinemia and cancer were the most important predictive features of cytopenia in HIV hospitalized patients. Meanwhile, the lower hemoglobin-to-RDW ratio (HGB/RDW), low-density lipoprotein cholesterol (LDL-C) levels, CD4
    Conclusion: The present study constructed a risk prediction model for cytopenia in HIV patients during hospitalization with machine learning and electronic medical record information. The prediction model is important for the rational management of HIV hospitalized patients and the personalized treatment plan setting.
    MeSH term(s) Humans ; Electronic Health Records ; HIV Infections/complications ; China/epidemiology ; Neural Networks, Computer ; Machine Learning
    Language English
    Publishing date 2023-07-28
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1184831
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Inhibition of ASC enhances the protective role of salvianolic acid A in traumatic brain injury via inhibition of inflammation and recovery of mitochondrial function.

    Wang, Jing / Xu, Chao / Zhang, Kunhu / Shi, Jianjun / Liu, Zhenyang / Wang, Xinxing / Guo, Min / Lv, Jiannan / Ding, Xinmin

    Folia neuropathologica

    2021  Volume 59, Issue 1, Page(s) 50–66

    Abstract: More than 50 million people are affected by traumatic brain injury (TBI) each year around the world, and nearly half of the population worldwide will have one or more TBI(s) in their lifetime. And in 2017, more than 1.39 billion people in China suffered ... ...

    Abstract More than 50 million people are affected by traumatic brain injury (TBI) each year around the world, and nearly half of the population worldwide will have one or more TBI(s) in their lifetime. And in 2017, more than 1.39 billion people in China suffered from TBI, representing nearly 18% of the world population; these were mainly caused by road traffic incidents. Salvianolic acid A is a compound obtained from Salvia miltiorrhiza Bunge, which is one of the active components of many traditional Chinese medicines for the treatment of cardiovascular and cerebrovascular disease, with the effect of inhibition of inflammatory response. ASC is a critical factor in the activation of inflammation response process via promoting the maturation of caspase-1, and activation of NLPR3 under bacterial infection promotes the necrosis of cells in an ASC-dependent manner. However, few studies focus on the effect of ASC in a TBI model. In this study, we found that inhibition of ASC reduced the expression of inflammatory cytokines, and the concentration of calcium and ROS, while it increased the expression of mitochondrial function-related proteins. We further noticed that these effects were regulated by DLK2/MLK3/JNK signalling pathway and might contribute to the treatment of TBI.
    MeSH term(s) Abietanes/pharmacology ; Animals ; Brain Injuries, Traumatic/drug therapy ; Brain Injuries, Traumatic/pathology ; CARD Signaling Adaptor Proteins/antagonists & inhibitors ; CARD Signaling Adaptor Proteins/genetics ; CARD Signaling Adaptor Proteins/metabolism ; Caffeic Acids/pharmacology ; Caffeic Acids/therapeutic use ; Calcium/metabolism ; Cell Line ; Cell Proliferation ; Cytokines/drug effects ; Cytokines/metabolism ; HEK293 Cells ; Humans ; Inflammation/metabolism ; Inflammation/prevention & control ; Lactates/pharmacology ; Lactates/therapeutic use ; Male ; Medicine, Chinese Traditional ; Mice ; Mice, Inbred C57BL ; Mitochondria/drug effects ; Mitochondria/metabolism ; Mitochondria/physiology ; Neuroprotective Agents/pharmacology ; Neuroprotective Agents/therapeutic use ; Reactive Oxygen Species/metabolism ; Signal Transduction/genetics
    Chemical Substances Abietanes ; CARD Signaling Adaptor Proteins ; Caffeic Acids ; Cytokines ; Lactates ; Neuroprotective Agents ; PYCARD protein, human ; Pycard protein, mouse ; Reactive Oxygen Species ; tanshinone (03UUH3J385) ; salvianolic acid A (51622542XO) ; Calcium (SY7Q814VUP)
    Language English
    Publishing date 2021-05-06
    Publishing country Poland
    Document type Journal Article
    ZDB-ID 1310363-5
    ISSN 1509-572X ; 0028-3894 ; 1641-4640
    ISSN (online) 1509-572X
    ISSN 0028-3894 ; 1641-4640
    DOI 10.5114/fn.2021.105131
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning.

    Liu, Zengjing / Meng, Zhihao / Wei, Di / Qin, Yuan / Lv, Yu / Xie, Luman / Qiu, Hong / Xie, Bo / Li, Lanxiang / Wei, Xihua / Zhang, Die / Liang, Boying / Li, Wen / Qin, Shanfang / Yan, Tengyue / Meng, Qiuxia / Wei, Huilin / Jiang, Guiyang / Su, Lingsong /
    Jiang, Nili / Zhang, Kai / Lv, Jiannan / Hu, Yanling

    BMC medical informatics and decision making

    2024  Volume 24, Issue 1, Page(s) 110

    Abstract: Objective: This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs).: Methods: Sixty-one ...

    Abstract Objective: This study aimed to construct a coronary heart disease (CHD) risk-prediction model in people living with human immunodeficiency virus (PLHIV) with the help of machine learning (ML) per electronic medical records (EMRs).
    Methods: Sixty-one medical characteristics (including demography information, laboratory measurements, and complicating disease) readily available from EMRs were retained for clinical analysis. These characteristics further aided the development of prediction models by using seven ML algorithms [light gradient-boosting machine (LightGBM), support vector machine (SVM), eXtreme gradient boosting (XGBoost), adaptive boosting (AdaBoost), decision tree, multilayer perceptron (MLP), and logistic regression]. The performance of this model was assessed using the area under the receiver operating characteristic curve (AUC). Shapley additive explanation (SHAP) was further applied to interpret the findings of the best-performing model.
    Results: The LightGBM model exhibited the highest AUC (0.849; 95% CI, 0.814-0.883). Additionally, the SHAP plot per the LightGBM depicted that age, heart failure, hypertension, glucose, serum creatinine, indirect bilirubin, serum uric acid, and amylase can help identify PLHIV who were at a high or low risk of developing CHD.
    Conclusion: This study developed a CHD risk prediction model for PLHIV utilizing ML techniques and EMR data. The LightGBM model exhibited improved comprehensive performance and thus had higher reliability in assessing the risk predictors of CHD. Hence, it can potentially facilitate the development of clinical management techniques for PLHIV care in the era of EMRs.
    MeSH term(s) Humans ; HIV Infections ; Machine Learning ; Coronary Disease ; Middle Aged ; Male ; Female ; Risk Assessment/methods ; Adult ; Electronic Health Records ; Aged
    Language English
    Publishing date 2024-04-25
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-024-02511-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Epidemiology of extrapulmonary tuberculosis in central Guangxi from 2016 to 2021.

    Li, Lanxiang / Lv, Yu / Su, Lingsong / Liu, Qianyu / Lan, Ke / Wei, Di / Wu, Qingguo / Hu, Yanling / Lv, Jiannan / Pang, Xianwu / Xie, Bo / Liu, Zengjing / Wei, Xihua / Liu, Aimei / Leng, Jing / Wei, Yongzhong

    European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology

    2022  

    Abstract: The burden of extrapulmonary tuberculosis (EPTB) has gradually increased in recent years, but not enough epidemiological data is available from central Guangxi. To better understand the epidemiology of EPTB in central Guangxi and identify risk factors ... ...

    Abstract The burden of extrapulmonary tuberculosis (EPTB) has gradually increased in recent years, but not enough epidemiological data is available from central Guangxi. To better understand the epidemiology of EPTB in central Guangxi and identify risk factors associated with them, we retrospectively investigated the epidemiology of tuberculosis (TB), especially EPTB, among patients admitted to the Chest Hospital of Guangxi Zhuang Autonomous Region between 2016 and 2021. We excluded those infected with both pulmonary tuberculosis (PTB) and EPTB, reported the proportion and incidence of PTB or EPTB, and compared the demographic characteristics and risk factors of EPTB and PTB cases using univariate and multivariate logistic regression models. Among 30,893 TB patients, 67.25% (20,774) had PTB and 32.75% (10,119) had EPTB. Among EPTB, pleural, skeletal, lymphatic, pericardial, meningeal, genitourinary, intestinal, and peritoneal TB accounted for 49.44%, 27.20%, 8.55%, 4.39%, 3.36%, 1.48%, 0.87%, and 0.79%, respectively. Patients who were younger (age < 25), from rural areas, Zhuang and other ethnic groups, and diagnosed with anemia and HIV infection were more likely to develop EPTB. However, patients with diabetes and COPD were less likely to have EPTB. From 2016 to 2021, the proportion of PTB cases decreased from 69.73 to 64.07%. The percentage of EPTB cases increased from 30.27 to 35.93%, with the largest increase in skeletal TB from 21.48 to 34.13%. The epidemiology and risk factors of EPTB in central Guangxi are different from those of PTB. The incidence of EPTB is increasing and further studies are needed to determine the reasons for it.
    Language English
    Publishing date 2022-11-29
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 603155-9
    ISSN 1435-4373 ; 0934-9723 ; 0722-2211
    ISSN (online) 1435-4373
    ISSN 0934-9723 ; 0722-2211
    DOI 10.1007/s10096-022-04524-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Anemia and opportunistic infections in hospitalized people living with HIV: a retrospective study.

    Xie, Bo / Huang, Wei / Hu, Yanling / Dou, Yanyun / Xie, Luman / Zhang, Yong / Qin, Shanfang / Lan, Ke / Pang, Xianwu / Qiu, Hong / Li, Lanxiang / Wei, Xihua / Liu, Zengjing / Meng, Zhihao / Lv, Jiannan

    BMC infectious diseases

    2022  Volume 22, Issue 1, Page(s) 912

    Abstract: Background: There is a high prevalence of anemia among people living with HIV in Guangxi, China. Therefore, we investigated anemia and opportunistic infections in hospitalized people living with HIV and explored the risk factors related to anemia in ... ...

    Abstract Background: There is a high prevalence of anemia among people living with HIV in Guangxi, China. Therefore, we investigated anemia and opportunistic infections in hospitalized people living with HIV and explored the risk factors related to anemia in people living with HIV to actively prevent anemia in people living with HIV.
    Methods: We retrospectively studied people living with HIV admitted to Guangxi Chest Hospital from June 2016 to October 2021. Detailed information on the sociodemographic and clinical features of the participants was collected. The X
    Results: Among 5645 patients with HIV, 1525 (27.02%) had anemia. The overall prevalence of mild, moderate, and severe anemia was 4.66%, 14.08%, and 8.27%, respectively. The factors significantly related to increased risk of anemia were CD4 count < 50 cells/µl (aOR = 2.221, 95% CI = [1.775, 2.779]), CD4 count 50-199 cells/µl (aOR = 1.659, 95% CI = [1.327, 2. 073]), female (aOR = 1.644, 95% CI = [1.436, 1.881]) co-infected with HCV (aOR = 1.465, 95% CI = [1.071, 2.002]), PM (aOR = 2.356, 95% CI = [1.950, 2.849]), or TB (aOR = 1.198, 95% CI = [1.053, 1.365]).
    Conclusions: Within Guangxi of China, 27.02% of hospitalized people living with HIV presented with anemia. Most patients with anemia were in the mild to moderate stage. The low CD4 count, female gender, and concomitant infection with Penicillium marneffei, Hepatitis C virus, or Tuberculosis were independent correlates of anemia. Thus, these findings would be helpful to clinicians in preventing and intervening in anemia in people living with HIV.
    Language English
    Publishing date 2022-12-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041550-3
    ISSN 1471-2334 ; 1471-2334
    ISSN (online) 1471-2334
    ISSN 1471-2334
    DOI 10.1186/s12879-022-07910-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Screening and Identification of Human Endogenous Retrovirus-K mRNAs for Breast Cancer Through Integrative Analysis of Multiple Datasets.

    Wei, Yongzhong / Wei, Huilin / Wei, Yinfeng / Tan, Aihua / Chen, Xiuyong / Liao, Xiuquan / Xie, Bo / Wei, Xihua / Li, Lanxiang / Liu, Zengjing / Dai, Shengkang / Khan, Adil / Pang, Xianwu / Hassan, Nada M A / Xiong, Kai / Zhang, Kai / Leng, Jing / Lv, Jiannan / Hu, Yanling

    Frontiers in oncology

    2022  Volume 12, Page(s) 820883

    Abstract: Objective: Human endogenous retroviruses (HERVs) make up 8% of the human genome. HERVs are biologically active elements related to multiple diseases. HERV-K, a subfamily of HERVs, has been associated with certain types of cancer and suggested as an ... ...

    Abstract Objective: Human endogenous retroviruses (HERVs) make up 8% of the human genome. HERVs are biologically active elements related to multiple diseases. HERV-K, a subfamily of HERVs, has been associated with certain types of cancer and suggested as an immunologic target in some tumors. The expression levels of HERV-K in breast cancer (BCa) have been studied as biomarkers and immunologic therapeutic targets. However, HERV-K has multiple copies in the human genome, and few studies determined the transcriptional profile of HERV-K copies across the human genome for BCa.
    Methods: Ninety-one HERV-K indexes with entire proviral sequences were used as the reference database. Nine raw sequencing datasets with 243 BCa and 137 control samples were mapped to this database by Salmon software. The differential proviral expression across several groups was analyzed by DESeq2 software.
    Results: First, the clustering of each dataset demonstrated that these 91 HERV-K proviruses could well cluster the BCa and control samples when the normal controls were normal cells or healthy donor tissues. Second, several common HERV-K proviruses that are closely related with BCa risk were significantly differentially expressed (
    Conclusion: The expression profiling of these 91 HERV-K proviruses can be used as biomarkers to distinguish individuals with BCa and healthy controls. Some proviruses, especially 17p13.1, were strongly associated with BCa risk. The results suggest that HERV-K expression profiles may be appropriate biomarkers and targets for BCa.
    Language English
    Publishing date 2022-02-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.820883
    Database MEDical Literature Analysis and Retrieval System OnLINE

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