Association between Ava II Polymorphism in LDL Receptor Gene and Hyperlipidemic Ischemic Stroke Patients Article Swipe
Johnson Oshiobugie Momoh
,
V Daisy
,
Onyinye Anulika Udebuan
,
Joseph Okebe Alagi
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.9734/ajrb/2024/v14i5314
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.9734/ajrb/2024/v14i5314
Increased plasma level of low density lipoprotein-cholesterol (LDL-C) is a risk factor for atherosclerosis development and severity. The low-density lipoprotein receptor (LDL-R) is one of the control mechanisms that the liver uses for cholesterol homeostasis. Gene variations in the LDL-R have been reported to cause hypercholesterolemia and consequently lead to cardiovascular diseases (CVD). The study investigates the association between polymorphism of the LDL-R gene and plasma lipid parameters levels in patients with ischemic stroke. 115 controls and 95 ischemic stroke patients matched for sex and age were enrolled in the study. Lipid profiles were measured using biochemical standards methods and lipoprotein ratios were calculated. Ava II (rs5925) genotypes were performed by PCR-RFLP combined with 2% gel electrophoresis. The frequencies of A-A-, A-A+ and A+A+ genotypes for LDL-R gene polymorphism were 73.04%, 23.48% and 3.48% for the control, 18.95%, 72.63% and 8.42% for the ischemic stroke subjects (P<0.0001) respectively. The frequencies of A- and A+ alleles were 84.78% and 15.22% for the control and 55.26% and 44.74% for the stroke subjects (P<0.0001) respectively. The study shows that the mutant allele of the LDL-R gene was associated with dyslipidemia for both subjects. The subjects with A-A- genotype had significant (P=0.0001-0.0063) lower plasma levels of TC, TG, LDL-C, VLDL-C, Non-HDL-C, TC/HDL-C, TG/HDL-C, LDL-C/HDL-C, AIP and AC than the subjects with A-A+ and A+A+ genotypes for both subjects. The effect of LDL-R gene Ava Ⅱ polymorphism on plasma lipid levels is associated with higher lipid parameters for both subjects.
Related Topics
Concepts
Ischemic stroke
Polymorphism (computer science)
Medicine
Internal medicine
LDL receptor
Gene polymorphism
Hyperlipidemia
Gene
Endocrinology
Genetics
Genotype
Biology
Cholesterol
Lipoprotein
Ischemia
Diabetes mellitus
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.9734/ajrb/2024/v14i5314
- OA Status
- diamond
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402055214
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4402055214Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.9734/ajrb/2024/v14i5314Digital Object Identifier
- Title
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Association between Ava II Polymorphism in LDL Receptor Gene and Hyperlipidemic Ischemic Stroke PatientsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-08-30Full publication date if available
- Authors
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Johnson Oshiobugie Momoh, V Daisy, Onyinye Anulika Udebuan, Joseph Okebe AlagiList of authors in order
- Landing page
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https://doi.org/10.9734/ajrb/2024/v14i5314Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.9734/ajrb/2024/v14i5314Direct OA link when available
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Ischemic stroke, Polymorphism (computer science), Medicine, Internal medicine, LDL receptor, Gene polymorphism, Hyperlipidemia, Gene, Endocrinology, Genetics, Genotype, Biology, Cholesterol, Lipoprotein, Ischemia, Diabetes mellitusTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2886443748, https://openalex.org/W1996241166, https://openalex.org/W2210187380, https://openalex.org/W2044700161, https://openalex.org/W2115245514, https://openalex.org/W4390616564, https://openalex.org/W2168885003, https://openalex.org/W1972661406, https://openalex.org/W2084744450, https://openalex.org/W2085285805, https://openalex.org/W2136332184, https://openalex.org/W3082992200, https://openalex.org/W2596015238, https://openalex.org/W2802365595, https://openalex.org/W2391330923, https://openalex.org/W2069450970, https://openalex.org/W4312452213, https://openalex.org/W2323483773, https://openalex.org/W3203522966, https://openalex.org/W2793196316, https://openalex.org/W2082887267 |
| referenced_works_count | 21 |
| abstract_inverted_index.a | 9 |
| abstract_inverted_index.2% | 114 |
| abstract_inverted_index.95 | 77 |
| abstract_inverted_index.A+ | 153 |
| abstract_inverted_index.A- | 151 |
| abstract_inverted_index.AC | 212 |
| abstract_inverted_index.II | 105 |
| abstract_inverted_index.by | 110 |
| abstract_inverted_index.in | 37, 69, 88 |
| abstract_inverted_index.is | 8, 22, 236 |
| abstract_inverted_index.of | 3, 24, 60, 119, 150, 179, 201, 226 |
| abstract_inverted_index.on | 232 |
| abstract_inverted_index.to | 43, 49 |
| abstract_inverted_index.115 | 74 |
| abstract_inverted_index.AIP | 210 |
| abstract_inverted_index.Ava | 104, 229 |
| abstract_inverted_index.TC, | 202 |
| abstract_inverted_index.TG, | 203 |
| abstract_inverted_index.The | 17, 53, 117, 148, 172, 190, 224 |
| abstract_inverted_index.age | 85 |
| abstract_inverted_index.and | 15, 46, 64, 76, 84, 99, 122, 132, 139, 152, 157, 162, 164, 211, 218 |
| abstract_inverted_index.for | 12, 32, 82, 125, 134, 141, 159, 166, 187, 221, 242 |
| abstract_inverted_index.gel | 115 |
| abstract_inverted_index.had | 195 |
| abstract_inverted_index.low | 4 |
| abstract_inverted_index.one | 23 |
| abstract_inverted_index.sex | 83 |
| abstract_inverted_index.the | 25, 29, 38, 56, 61, 89, 135, 142, 160, 167, 176, 180, 214 |
| abstract_inverted_index.was | 183 |
| abstract_inverted_index.Ⅱ | 230 |
| abstract_inverted_index.A+A+ | 123, 219 |
| abstract_inverted_index.A-A+ | 121, 217 |
| abstract_inverted_index.A-A- | 193 |
| abstract_inverted_index.Gene | 35 |
| abstract_inverted_index.been | 41 |
| abstract_inverted_index.both | 188, 222, 243 |
| abstract_inverted_index.gene | 63, 127, 182, 228 |
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| abstract_inverted_index.lead | 48 |
| abstract_inverted_index.risk | 10 |
| abstract_inverted_index.than | 213 |
| abstract_inverted_index.that | 28, 175 |
| abstract_inverted_index.uses | 31 |
| abstract_inverted_index.were | 86, 93, 102, 108, 129, 155 |
| abstract_inverted_index.with | 71, 113, 185, 192, 216, 238 |
| abstract_inverted_index.3.48% | 133 |
| abstract_inverted_index.8.42% | 140 |
| abstract_inverted_index.A-A-, | 120 |
| abstract_inverted_index.LDL-R | 39, 62, 126, 181, 227 |
| abstract_inverted_index.Lipid | 91 |
| abstract_inverted_index.cause | 44 |
| abstract_inverted_index.level | 2 |
| abstract_inverted_index.lipid | 66, 234, 240 |
| abstract_inverted_index.liver | 30 |
| abstract_inverted_index.lower | 198 |
| abstract_inverted_index.shows | 174 |
| abstract_inverted_index.study | 54, 173 |
| abstract_inverted_index.using | 95 |
| abstract_inverted_index.(CVD). | 52 |
| abstract_inverted_index.15.22% | 158 |
| abstract_inverted_index.23.48% | 131 |
| abstract_inverted_index.44.74% | 165 |
| abstract_inverted_index.55.26% | 163 |
| abstract_inverted_index.72.63% | 138 |
| abstract_inverted_index.84.78% | 156 |
| abstract_inverted_index.LDL-C, | 204 |
| abstract_inverted_index.allele | 178 |
| abstract_inverted_index.effect | 225 |
| abstract_inverted_index.factor | 11 |
| abstract_inverted_index.higher | 239 |
| abstract_inverted_index.levels | 68, 200, 235 |
| abstract_inverted_index.mutant | 177 |
| abstract_inverted_index.plasma | 1, 65, 199, 233 |
| abstract_inverted_index.ratios | 101 |
| abstract_inverted_index.stroke | 79, 144, 168 |
| abstract_inverted_index.study. | 90 |
| abstract_inverted_index.(LDL-C) | 7 |
| abstract_inverted_index.(LDL-R) | 21 |
| abstract_inverted_index.18.95%, | 137 |
| abstract_inverted_index.73.04%, | 130 |
| abstract_inverted_index.VLDL-C, | 205 |
| abstract_inverted_index.alleles | 154 |
| abstract_inverted_index.between | 58 |
| abstract_inverted_index.control | 26, 161 |
| abstract_inverted_index.density | 5 |
| abstract_inverted_index.matched | 81 |
| abstract_inverted_index.methods | 98 |
| abstract_inverted_index.stroke. | 73 |
| abstract_inverted_index.(rs5925) | 106 |
| abstract_inverted_index.PCR-RFLP | 111 |
| abstract_inverted_index.combined | 112 |
| abstract_inverted_index.control, | 136 |
| abstract_inverted_index.controls | 75 |
| abstract_inverted_index.diseases | 51 |
| abstract_inverted_index.enrolled | 87 |
| abstract_inverted_index.genotype | 194 |
| abstract_inverted_index.ischemic | 72, 78, 143 |
| abstract_inverted_index.measured | 94 |
| abstract_inverted_index.patients | 70, 80 |
| abstract_inverted_index.profiles | 92 |
| abstract_inverted_index.receptor | 20 |
| abstract_inverted_index.reported | 42 |
| abstract_inverted_index.subjects | 145, 169, 191, 215 |
| abstract_inverted_index.Increased | 0 |
| abstract_inverted_index.TC/HDL-C, | 207 |
| abstract_inverted_index.TG/HDL-C, | 208 |
| abstract_inverted_index.genotypes | 107, 124, 220 |
| abstract_inverted_index.performed | 109 |
| abstract_inverted_index.severity. | 16 |
| abstract_inverted_index.standards | 97 |
| abstract_inverted_index.subjects. | 189, 223, 244 |
| abstract_inverted_index.Non-HDL-C, | 206 |
| abstract_inverted_index.associated | 184, 237 |
| abstract_inverted_index.mechanisms | 27 |
| abstract_inverted_index.parameters | 67, 241 |
| abstract_inverted_index.variations | 36 |
| abstract_inverted_index.association | 57 |
| abstract_inverted_index.biochemical | 96 |
| abstract_inverted_index.calculated. | 103 |
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| abstract_inverted_index.development | 14 |
| abstract_inverted_index.frequencies | 118, 149 |
| abstract_inverted_index.lipoprotein | 19, 100 |
| abstract_inverted_index.low-density | 18 |
| abstract_inverted_index.significant | 196 |
| abstract_inverted_index.LDL-C/HDL-C, | 209 |
| abstract_inverted_index.consequently | 47 |
| abstract_inverted_index.dyslipidemia | 186 |
| abstract_inverted_index.homeostasis. | 34 |
| abstract_inverted_index.investigates | 55 |
| abstract_inverted_index.polymorphism | 59, 128, 231 |
| abstract_inverted_index.(P<0.0001) | 146, 170 |
| abstract_inverted_index.respectively. | 147, 171 |
| abstract_inverted_index.cardiovascular | 50 |
| abstract_inverted_index.atherosclerosis | 13 |
| abstract_inverted_index.electrophoresis. | 116 |
| abstract_inverted_index.(P=0.0001-0.0063) | 197 |
| abstract_inverted_index.hypercholesterolemia | 45 |
| abstract_inverted_index.lipoprotein-cholesterol | 6 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
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| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.24820345 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |