Evidence map›Paper›PMID 40464174›Full record

ArticleCurrent molecular medicine2025

Oxidized HDL as a Novel Predictive Biomarker in Conjunction with Selected Inflammatory Variables in Severe Dengue Fever Patients from Lahore, Pakistan.

Muhammad Sarwar, Noor Kamil, Rizwan Ashraf, Raahim Ali, Rehan Majeed, Saba Arif, Hassaan B Sohail, Zara Khan, Maira Rehan

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Article in Current molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Muhammad SarwarDepartment of Biotechnology, The University of Lahore, Institute of Molecular Biology and Biotechnology, Lahore, Pakistan.
Noor KamilDepartment of Basic Medical Sciences, Faculty of Pharmacy, Salim Habib University, Karachi, Pakistan.
Rizwan AshrafDepartment of Pharmacology, NUST School of Health Sciences, National University of Science & Technology (NUST), Islamabad, Pakistan.
Raahim AliDepartment of Pharmaceutics, Baqai Medical University, Baqai Institute of Pharmaceutical Sciences, Karachi, Pakistan.
Rehan MajeedDepartment of Biochemistry, Rawal Institute of Health Sciences, Islamabad, Pakistan.
Saba ArifDepartment of Biotechnology, The University of Lahore, Institute of Molecular Biology and Biotechnology, Lahore, Pakistan.
Hassaan B SohailDepartment of Biotechnology, The University of Lahore, Institute of Molecular Biology and Biotechnology, Lahore, Pakistan.
Zara KhanDepartment of Biochemistry, Rawal Institute of Health Sciences, Islamabad, Pakistan.
Maira RehanDepartment of Biochemistry, Rawal Institute of Health Sciences, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever is a deadly disease and represents one of the biggest threats to global health, with persisting uncertainty surrounding its prognosis and treatment standards. The onset of severe dengue fever, characterized by intense inflammation and the production of pro-inflammatory molecules, is currently the only well-established association with disease severity. Therefore, identifying and assessing both new and established biomarkers that can accurately predict the outcome of severe dengue fever is essential.

methodsIn this study, 100 age-matched healthy controls and 100 hospitalized dengue patients positive for NS1 and IgM, with a mean age of 45 years (range: 22- 65), were examined. Potential biomarkers were analyzed using a Coulter counter, spectroscopy, and ELISA to determine their prognostic value in assessing dengue fever severity.

resultsTriglycerides and very-low-density lipoproteins (VLDL) were significantly higher in severe dengue fever patients compared to controls (p<0.001). Conversely, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and cholesterol levels were significantly lower in patients compared to controls (p<0.001). Albumin levels were 40.9% lower, lactate dehydrogenase (LDH) was 422.1% higher, and C-reactive protein (CRP) levels were 435.6% higher in severe dengue fever patients compared to controls. Unlike HDL, oxidized HDL (oxHDL) levels were 160.4% higher in patients with severe dengue fever compared to controls. Still, the absolute levels of oxHDL did not exceed total HDL levels, as confirmed by corrected data.

conclusionOxidized HDL, combined with other lipoproteins, may provide an ideal panel of prognostic indicators that could guide the treatment of severe dengue fever and serve as reliable biomarkers for predicting disease outcomes.

Indexed as

BiomarkersDengueInflammationLipoproteins, HDLSevere DengueAdultAgedCase-Control StudiesC-Reactive ProteinFemaleHumansMaleMiddle AgedPakistanPrognosisSeverity of Illness IndexBiomarkersC-Reactive ProteinLipoproteins, HDLAlbumindengue virus.inflammatory markerslipid profileOx HDL

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PMID40464174

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