全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Diagnostic Value of HDL-C for CD4+ T Lymphocyte Levels in ART-Na?ve HIV Patients: A Retrospective Study

DOI: 10.4236/wja.2025.153005, PP. 91-102

Keywords: HIV Patients, High Density Lipoprotein, CD4+T Lymphocytes, Biomarker, Diagnostic Value

Full-Text   Cite this paper   Add to My Lib

Abstract:

Objective and Method: Objective and Methods: To analyze the correlation between serum high-density lipoprotein (HDL-c) levels and CD4+ T lymphocyte counts in HIV patients who have not yet initiated antiretroviral therapy (ART). A retrospective study design was used to collect relevant data from newly diagnosed patients. Patients were divided into two groups based on their CD4+ T cell counts: Group A (CD4+ T cells < 200 cells/μL) and Group B (CD4+ T cells ≥ 200 cells/μL). To analyze the predictive value of HDL-C levels in diagnosing CD4+ T lymphocyte levels using SPSS software. Results: In the two groups of comparisons, significant differences were observed in age, CD8+ T lymphocyte count, CD4/CD8 ratio, serum uric acid level, HDL, and BLVL (lg) (BLVL). Binary logistic regression analysis after multiple iterations showed that high-density lipoprotein C and CD8+ T lymphocyte levels were positively correlated with CD4+ T lymphocyte levels, while lg (BLVL) was negatively correlated with CD4+ T lymphocyte levels. The ROC diagnostic curve results showed that when the high-density lipoprotein value was 1.015 mmol/L (AUC curve area ratio 0.596), the CD8+ T lymphocyte count was 747.5/μL (AUC curve area ratio 0.800), and the CD4/CD8 ratio was 0.283 (AUC curve area ratio 0.829). The ROC diagnostic curve results indicated that among these four factors, the CD4/CD8 ratio had the greatest diagnostic value, and the diagnostic value of high-density lipoprotein C was not inferior to that of the CD4/CD8 ratio and CD8+ T lymphocyte count. Conclusion: In the ROC diagnostic curve effect model, the diagnostic predictive value of HDL-c for CD4+ T lymphocytes was only higher than the baseline viral load level but inferior to the CD4/CD8 ratio and CD8+ T lymphocyte count levels. Current research indicates that high-density lipoprotein has limited diagnostic value as an independent predictor.

References

[1]  World Health Organization (2025) HIV and AIDS-2024.
https://www.who.int/zh/news-room/fact-sheets/detail/hiv-aids
[2]  Chinese Center for Disease Control and Prevention (2024) Overview of National Notifiable Infectious Diseases in 2023.
https://www.chinacdc.cn/jksj/jksj01/202410/t20241010_301346.html
[3]  Guangdong Provincial Health Commission (2024) Overview of Epidemic Situation of Statutory Infectious Diseases in Guangdong Province.
https://wsjkw.gd.gov.cn/zwgk/
[4]  Acquired Immunodeficiency Syndrome Professional Group, Society of Infectious Diseases, Chinese Medical Association; Chinese Center for Disease Control and Prevention (2024) Chinese Guidelines for the Diagnosis and Treatment of Human Immunodeficiency Virus Infection/Acquired Immunodeficiency Syndrome (2024 Edition). Chinese Medical Journal, 137, 2654-2680.
https://doi.org/10.1097/cm9.0000000000003383
[5]  (2024) Notification of the General Office of the National Health Commission of the People’s Republic of China on Printing and Issuing the Guidelines for Obesity Diagnosis and Treatment (2024 Edition).
https://www.gov.cn/zhengce/zhengceku/202410/P020241020715873679737.pdf
[6]  General Administration of Sport of the Central People’s Government of the People’s Republic of China. (2024). National Physical Fitness Monitoring Bulletin.
https://www.sport.gov.cn/n315/n329/c24335066/content.html
[7]  Treatment of Clinical Guidelines Writing Group (2022) Clinical Guidelines for Prevention and Treatment of Type 2 Diabetes Mellitus in the Elderly in China (2022 Edition). Chinese Journal of Internal Medicine, 61, 12-50.
[8]  China Lipid Management Guidelines Revision Joint Expert Committee (2023) Chinese Guidelines for Lipid Management. Chinese Journal of Cardiovascular Diseases, 51, 221-255.
[9]  Girma, D., Dejene, H., Geleta, L.A., Malka, E.S., Tesema, M., Awol, M., et al. (2023) Metabolic Syndrome among People Living with HIV in Ethiopia: A Systematic Review and Meta-Analysis. Diabetology & Metabolic Syndrome, 15, Article No. 61.
https://doi.org/10.1186/s13098-023-01034-9
[10]  Asgedom, Y.S., Kebede, T.M., Gebrekidan, A.Y., Koyira, M.M., Azeze, G.A., Lombebo, A.A., et al. (2024) Prevalence of Metabolic Syndrome among People Living with Human Immunodeficiency Virus in Sub-Saharan Africa: A Systematic Review and Meta-Analysis. Scientific Reports, 14, Article No. 11709.
https://doi.org/10.1038/s41598-024-62497-y
[11]  Ma, J., Wang, G., Zhu, X., Li, L., Wang, L., Hao, L., et al. (2023) Combining CD4 Count, CD8 Count and CD4/CD8 Ratio to Predict Risk of Mortality among HIV-Positive Adults after Therapy: A Group-Based Multi-Trajectory Analysis. Frontiers in Immunology, 14, Article ID: 1269650.
https://doi.org/10.3389/fimmu.2023.1269650
[12]  Rana, P., Chauhan, S. and Chaudhary, K. (2023) Understanding the Role of CD8-Cell Response in HIV Control through Dynamical Analysis. Results in Control and Optimization, 12, Article 100240.
https://doi.org/10.1016/j.rico.2023.100240
[13]  Collins, D.R., Hitschfel, J., Urbach, J.M., Mylvaganam, G.H., Ly, N.L., Arshad, U., et al. (2023) Cytolytic CD8 + T Cells Infiltrate Germinal Centers to Limit Ongoing HIV Replication in Spontaneous Controller Lymph Nodes. Science Immunology, 8, eade5872.
https://doi.org/10.1126/sciimmunol.ade5872
[14]  Rica, R., Waldherr, M., Miyakoda, E., Kutschat, A.P., Schülein, M., Zhang, J., et al. (2025) HDAC1 Controls the Generation and Maintenance of Effector-Like CD8+ T Cells during Chronic Viral Infection. Journal of Experimental Medicine, 222, e20240829.
https://doi.org/10.1084/jem.20240829
[15]  Salvaña, E.M.T., Dungca, N.T., Arevalo, G., Li, K., Francisco, C., Penalosa, C., et al. (2022) HIV‐1 Subtype Shift in the Philippines Is Associated with High Transmitted Drug Resistance, High Viral Loads, and Fast Immunologic Decline. International Journal of Infectious Diseases, 122, 936-943.
https://doi.org/10.1016/j.ijid.2022.06.048
[16]  Liu, P., You, Y., Liao, L., Feng, Y., Shao, Y., Xing, H., et al. (2022) Impact of Low-Level Viremia with Drug Resistance on CD4 Cell Counts among People Living with HIV on Antiretroviral Treatment in China. BMC Infectious Diseases, 22, Article No. 426.
https://doi.org/10.1186/s12879-022-07417-z
[17]  Wymant, C., Bezemer, D., Blanquart, F., Ferretti, L., Gall, A., Hall, M., et al. (2022) A Highly Virulent Variant of HIV-1 Circulating in the Netherlands. Science, 375, 540-545.
https://doi.org/10.1126/science.abk1688
[18]  Di Yacovo, S., Saumoy, M., Sánchez-Quesada, J.L., Navarro, A., Sviridov, D., Javaloyas, M., et al. (2020) Lipids, Biomarkers, and Subclinical Atherosclerosis in Treatment-Naive HIV Patients Starting or Not Starting Antiretroviral Therapy: Comparison with a Healthy Control Group in a 2-Year Prospective Study. PLOS ONE, 15, e0237739.
https://doi.org/10.1371/journal.pone.0237739
[19]  Piconi, S., Bottanelli, M., Marchetti, G., Gori, A., Castagna, A., Squillce, N., et al. (2023) Is HDL-C Plasma Concentration a Possible Marker of HIV Replication? A Retrospective Cross-Sectional Analysis in Untreated HIV-Infected Individuals Accessing HIV Care in Italy. Microbiology and Immunology, 7, 188-197.
[20]  Parmar, A., Saha, T.K., Somani, B.L. and Misra, P. (2021) A Follow-Up Study to Evaluate Lipids as Cost-Effective Markers in HIV-Infected Patients on Antiretroviral Therapy. Medical Journal of Dr. D.Y. Patil Vidyapeeth, 14, 162-165.
https://doi.org/10.4103/mjdrdypu.mjdrdypu_60_20
[21]  Aikpitanyi-Iduitua, G.A., Idemudia, N.L., Aikpitanyi-Iduitua, R.O., Omoregie, R., et al. (2023) Correlation of Selected Inflammatory Markers with Cardiovascular Dis-eases Markers among HIV Patients in Benin City, Nigeria. New Zealand Journal of Medical Laboratory Science, 77, 33-37.
[22]  Mu, W., Sharma, M., Heymans, R., Ritou, E., Rezek, V., Hamid, P., et al. (2020) Apolipoprotein A-I Mimetics Attenuate Macrophage Activation in Chronic Treated HIV. AIDS, 35, 543-553.
https://doi.org/10.1097/qad.0000000000002785
[23]  Martin, I., Dubois, M.-C., Saermark, T. and Ruysschaert, J.-M. (1992) Apolipoprotein A-1 Interacts with the N-Terminal Fusogenic Domains of SIV (Simian Immunodeficiency Virus) GP32 and HIV (Human Immunodeficiency Virus) GP41: Implications in Viral Entry. Biochemical and Biophysical Research Communications, 186, 95-101.
https://doi.org/10.1016/s0006-291x(05)80780-6
[24]  Li, X., Sun, L., He, Y., Zhao, F., Luo, Y., Liu, C., et al. (2025) HDL-C as a Novel Predictor of Immune Reconstitution in People Living with HIV: Insights from a Baseline-to-Dynamic Change Cohort Study in China, 2005-2022. Frontiers in Immunology, 16, Article ID: 1520615.
https://doi.org/10.3389/fimmu.2025.1520615
[25]  Cretenet, G., Clerc, I., Matias, M., Loisel, S., Craveiro, M., Oburoglu, L., et al. (2016) Cell Surface Glut1 Levels Distinguish Human CD4 and CD8 T Lymphocyte Subsets with Distinct Effector Functions. Scientific Reports, 6, Article No. 24129.
https://doi.org/10.1038/srep24129

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133