Correlation between IL-1beta and IL-18 Levels with Dengue Virus Infection Severity Article Swipe

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Alper Sarı , Aryati Aryati , Theresia Indah Budhy , Anwar Ma’ruf , Dominicus Husada , Retno Palupi , I Gusti Agung Ayu Eka Putri Sunari , Yulia Nadar Indrasari ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.24293/ijcpml.v31i3.2682

Activated monocytes/macrophages and T lymphocytes that generate a cytokine storm are thought to play a critical role in the development of dengue. Cytokine storms, characterized by the excessive production of proinflammatory cytokines, can result in cellular dysfunction and organ failure, often contributing to the severity of dengue in affected patients. Interleukin-18 (IL-18), like IL-1beta, is a proinflammatory cytokine released during inflammation triggered by inflammasome activation. Increased IL-1beta and IL-18 during dengue virus infection (DVI) are known to worsen the host's vascular permeability, increasing hemostasis disorders and potentially, all of which are important elements in the pathophysiology of dengue fever. This study investigates the association between IL-1beta levels, IL-18 levels, age, dengue virus serotype, and the severity of dengue virus infection, aiming to understand how these factors interact and influence disease outcomes. This study is an observational cross-sectional design from 59 DVI patients in Dr. Soetomo General Hospital, Surabaya with positive dengue PCR results. Both IL-1beta and IL-18 levels reveal no significant relationship with the patient's age, infection status, and dengue virus serotype. A weak negative significant relationship between IL-1beta levels and the severity of DVI, indicating an inverse relationship between IL-1beta levels and the severity. Further studies are required to investigate the function of these cytokines in severe dengue.

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Medicine Dengue fever Dengue virus Immunology Correlation Virology Geometry Mathematics

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Type: article
Language: en
Landing Page: https://doi.org/10.24293/ijcpml.v31i3.2682
PDF: https://indonesianjournalofclinicalpathology.org/index.php/patologi/article/download/2682/1649
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DOI: https://doi.org/10.24293/ijcpml.v31i3.2682

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Title: Correlation between IL-1beta and IL-18 Levels with Dengue Virus Infection Severity

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Language: en

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Publication year: 2025

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Publication date: 2025-06-15

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Authors: Alper Sarı, Aryati Aryati, Theresia Indah Budhy, Anwar Ma’ruf, Dominicus Husada, Retno Palupi, I Gusti Agung Ayu Eka Putri Sunari, Yulia Nadar Indrasari

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Landing page: https://doi.org/10.24293/ijcpml.v31i3.2682

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Concepts: Medicine, Dengue fever, Dengue virus, Immunology, Correlation, Virology, Geometry, Mathematics

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abstract_inverted_index.with	148, 162
abstract_inverted_index.(DVI)	73
abstract_inverted_index.IL-18	68, 107, 156
abstract_inverted_index.known	75
abstract_inverted_index.often	40
abstract_inverted_index.organ	38
abstract_inverted_index.storm	9
abstract_inverted_index.study	100, 132
abstract_inverted_index.these	124, 204
abstract_inverted_index.virus	71, 111, 118, 170
abstract_inverted_index.which	89
abstract_inverted_index.aiming	120
abstract_inverted_index.dengue	46, 70, 97, 110, 117, 150, 169
abstract_inverted_index.design	137
abstract_inverted_index.during	59, 69
abstract_inverted_index.fever.	98
abstract_inverted_index.host's	79
abstract_inverted_index.levels	157, 179, 191
abstract_inverted_index.result	33
abstract_inverted_index.reveal	158
abstract_inverted_index.severe	207
abstract_inverted_index.worsen	77
abstract_inverted_index.Further	195
abstract_inverted_index.General	145
abstract_inverted_index.Soetomo	144
abstract_inverted_index.between	104, 177, 189
abstract_inverted_index.dengue.	21, 208
abstract_inverted_index.disease	129
abstract_inverted_index.factors	125
abstract_inverted_index.inverse	187
abstract_inverted_index.levels,	106, 108
abstract_inverted_index.status,	167
abstract_inverted_index.storms,	23
abstract_inverted_index.studies	196
abstract_inverted_index.thought	11
abstract_inverted_index.(IL-18),	51
abstract_inverted_index.Cytokine	22
abstract_inverted_index.IL-1beta	66, 105, 154, 178, 190
abstract_inverted_index.Surabaya	147
abstract_inverted_index.affected	48
abstract_inverted_index.cellular	35
abstract_inverted_index.critical	15
abstract_inverted_index.cytokine	8, 57
abstract_inverted_index.elements	92
abstract_inverted_index.failure,	39
abstract_inverted_index.function	202
abstract_inverted_index.generate	6
abstract_inverted_index.interact	126
abstract_inverted_index.negative	174
abstract_inverted_index.patients	141
abstract_inverted_index.positive	149
abstract_inverted_index.released	58
abstract_inverted_index.required	198
abstract_inverted_index.results.	152
abstract_inverted_index.severity	44, 115, 182
abstract_inverted_index.vascular	80
abstract_inverted_index.Activated	0
abstract_inverted_index.Hospital,	146
abstract_inverted_index.IL-1beta,	53
abstract_inverted_index.Increased	65
abstract_inverted_index.cytokines	205
abstract_inverted_index.disorders	84
abstract_inverted_index.excessive	27
abstract_inverted_index.important	91
abstract_inverted_index.infection	72, 166
abstract_inverted_index.influence	128
abstract_inverted_index.outcomes.	130
abstract_inverted_index.patient's	164
abstract_inverted_index.patients.	49
abstract_inverted_index.serotype,	112
abstract_inverted_index.serotype.	171
abstract_inverted_index.severity.	194
abstract_inverted_index.triggered	61
abstract_inverted_index.cytokines,	31
abstract_inverted_index.hemostasis	83
abstract_inverted_index.increasing	82
abstract_inverted_index.indicating	185
abstract_inverted_index.infection,	119
abstract_inverted_index.production	28
abstract_inverted_index.understand	122
abstract_inverted_index.activation.	64
abstract_inverted_index.association	103
abstract_inverted_index.development	19
abstract_inverted_index.dysfunction	36
abstract_inverted_index.investigate	200
abstract_inverted_index.lymphocytes	4
abstract_inverted_index.significant	160, 175
abstract_inverted_index.contributing	41
abstract_inverted_index.inflammasome	63
abstract_inverted_index.inflammation	60
abstract_inverted_index.investigates	101
abstract_inverted_index.potentially,	86
abstract_inverted_index.relationship	161, 176, 188
abstract_inverted_index.characterized	24
abstract_inverted_index.observational	135
abstract_inverted_index.permeability,	81
abstract_inverted_index.Interleukin-18	50
abstract_inverted_index.cross-sectional	136
abstract_inverted_index.pathophysiology	95
abstract_inverted_index.proinflammatory	30, 56
abstract_inverted_index.monocytes/macrophages	1
cited_by_percentile_year
countries_distinct_count	1
institutions_distinct_count	8
citation_normalized_percentile.value	0.3050489
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True