{ "ok": true, "doi": "10.46243/jst.2023.v8.i08.pp1-17", "events": [ { "seq": 1, "kind": "register", "at": "2026-09-29 22:00:32", "by": "Administrator (admin)", "by_kind": "user", "note": "registered at Crossref; record read from api.crossref.org", "changes": [ { "path": "abstract.lang", "from": null, "to": "en" }, { "path": "abstract.value", "from": null, "to": "Introduction: Lipotoxicity is a result of hyperlipidemia. Lipid and cholesterol buildup in the arteries causes atherosclerosis, which damages key organs including the heart and kidneys and causes cardiovascular disorders.Methods: Fasting blood samples were collected and tested using an automated biochemistry analyzer for dyslipidemia screening. Five participant groups—those with hypertension, diabetes, kidney disease, or liver disease—as well as a control group of people without these conditions—were used to collect the data. There were 101 patients in the study, with at least 20 volunteers in each group ranging in age from 18 to 70. The data were statistically compared using the independent two-sample t-test.Results: Hypertension and diabetes associated participants had an increased mean of low-density lipoprotein, very low-density lipoprotein, total cholesterol, and triglycerides levels than control (p<0.05). These were likewise higher in kidney disease patients compared to the control group (p<0.05). High-density lipoprotein levels did not change significantly in these groups. In liver disease patients mean triglycerides and very low-density lipoprotein levels were found significantly higher when compared to the control group (p<0.05). Mean high density lipoprotein levels in individuals with liver disease reveal a significant drop when compared to the control group, with a 90% confidence level.Conclusion: A link between hyperlipidemia and patients with hypertension, diabetes, liver disease, and renal disease was observed. Diabetes and high blood pressure were present in the majority of patients with renal and hepatic dysfunction." }, { "path": "agents.0.name.family", "from": null, "to": "Priyadarshini Roy" }, { "path": "agents.0.name.given", "from": null, "to": "" }, { "path": "agents.0.role", "from": null, "to": "author" }, { "path": "agents.0.sequence", "from": null, "to": "first" }, { "path": "agents.1.name.family", "from": null, "to": "Lakshmi Nair" }, { "path": "agents.1.name.given", "from": null, "to": "" }, { "path": "agents.1.role", "from": null, "to": "author" }, { "path": "agents.1.sequence", "from": null, "to": "additional" }, { "path": "agents.2.name.org", "from": null, "to": "Longman Publishers" }, { "path": "agents.2.role", "from": null, "to": "publisher" }, { "path": "characters.0", "from": null, "to": "Language" }, { "path": "container.identifiers.0.medium", "from": null, "to": "electronic" }, { "path": "container.identifiers.0.type", "from": null, "to": "ISSN" }, { "path": "container.identifiers.0.value", "from": null, "to": "2456-5660" }, { "path": "container.issue", "from": null, "to": "08" }, { "path": "container.pages.first", "from": null, "to": "01" }, { "path": "container.pages.last", "from": null, "to": "17" }, { "path": "container.titles.0.type", "from": null, "to": "PrincipalTitle" }, { "path": "container.titles.0.value", "from": null, "to": "Journal of Science & Technology" }, { "path": "container.type", "from": null, "to": "Journal" }, { "path": "container.volume", "from": null, "to": "08" }, { "path": "dates.date_type", "from": null, "to": "PublicationDate" }, { "path": "dates.online", "from": null, "to": "2023-08-21" }, { "path": "dates.published", "from": null, "to": "2023-08-21" }, { "path": "doi", "from": null, "to": "10.46243/jst.2023.v8.i08.pp1-17" }, { "path": "format", "from": null, "to": "smartscholars-doi-metadata/1.0" }, { "path": "identifiers.0.type", "from": null, "to": "DOI" }, { "path": "identifiers.0.value", "from": null, "to": "10.46243/jst.2023.v8.i08.pp1-17" }, { "path": "language", "from": null, "to": "en" }, { "path": "license.applies_to", "from": null, "to": "vor" }, { "path": "license.start", "from": null, "to": "2023-08-21" }, { "path": "license.url", "from": null, "to": "https://creativecommons.org/licenses/by/4.0/" }, { "path": "links.0.primary", "from": null, "to": true }, { "path": "links.0.return_type", "from": null, "to": "text/html" }, { "path": "links.0.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/view/774" }, { "path": "links.1.purpose", "from": null, "to": "text-mining" }, { "path": "links.1.return_type", "from": null, "to": "application/pdf" }, { "path": "links.1.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/download/774/701" }, { "path": "links.2.purpose", "from": null, "to": "text-mining" }, { "path": "links.2.return_type", "from": null, "to": "application/xml" }, { "path": "links.2.url", "from": null, "to": "https://www.jst.org.in/index.php/pub/article/download/774/1721" }, { "path": "links.3.purpose", "from": null, "to": "similarity-checking" }, { "path": "links.3.url", "from": null, "to": "https://jst.org.in/index.php/pub/article/view/774/701" }, { "path": "modes.0", "from": null, "to": "Visual" }, { "path": "record.issue_number", "from": null, "to": 1 }, { "path": "record.registered", "from": null, "to": "2026-08-27" }, { "path": "record.registrant", "from": null, "to": "Longman Publishers" }, { "path": "record.source", "from": null, "to": "crossref-api" }, { "path": "record.source_agency", "from": null, "to": "Crossref (member 25296)" }, { "path": "record.updated", "from": null, "to": "2026-09-20" }, { "path": "references.0.doi", "from": null, "to": "10.1097/mnh.0b013e32833aa4ac" }, { "path": "references.0.key", "from": null, "to": "ref1" }, { "path": "references.0.unstructured", "from": null, "to": "Bobulescu IA. 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Lancet. 2013;382(9889):339-52. doi: 10.1016/ S0140-6736(13)60595-4, PMID 23727170" }, { "path": "referent", "from": null, "to": "Creation" }, { "path": "structural_type", "from": null, "to": "Digital" }, { "path": "titles.0.lang", "from": null, "to": "en" }, { "path": "titles.0.type", "from": null, "to": "PrincipalTitle" }, { "path": "titles.0.value", "from": null, "to": "Estimation of blood lipid profile to study dyslipidemia in patients with hypertension, diabetes, liver and kidney disease" }, { "path": "type", "from": null, "to": "JournalArticle" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2023.v8.i08.pp1-17", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Estimation of blood lipid profile to study dyslipidemia in patients with hypertension, diabetes, liver and kidney disease", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2023.v8.i08.pp1-17" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "Priyadarshini Roy" }, "sequence": "first" }, { "role": "author", "name": { "given": "", "family": "Lakshmi Nair" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2023-08-21", "date_type": "PublicationDate", "online": "2023-08-21" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "08", "issue": "08", "pages": { "first": "01", "last": "17" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/774", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/774/701", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/774/1721", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/index.php/pub/article/view/774/701", "purpose": "similarity-checking" } ], "abstract": { "value": "Introduction: Lipotoxicity is a result of hyperlipidemia. Lipid and cholesterol buildup in the arteries causes atherosclerosis, which damages key organs including the heart and kidneys and causes cardiovascular disorders.Methods: Fasting blood samples were collected and tested using an automated biochemistry analyzer for dyslipidemia screening. Five participant groups—those with hypertension, diabetes, kidney disease, or liver disease—as well as a control group of people without these conditions—were used to collect the data. There were 101 patients in the study, with at least 20 volunteers in each group ranging in age from 18 to 70. The data were statistically compared using the independent two-sample t-test.Results: Hypertension and diabetes associated participants had an increased mean of low-density lipoprotein, very low-density lipoprotein, total cholesterol, and triglycerides levels than control (p<0.05). These were likewise higher in kidney disease patients compared to the control group (p<0.05). High-density lipoprotein levels did not change significantly in these groups. In liver disease patients mean triglycerides and very low-density lipoprotein levels were found significantly higher when compared to the control group (p<0.05). Mean high density lipoprotein levels in individuals with liver disease reveal a significant drop when compared to the control group, with a 90% confidence level.Conclusion: A link between hyperlipidemia and patients with hypertension, diabetes, liver disease, and renal disease was observed. Diabetes and high blood pressure were present in the majority of patients with renal and hepatic dysfunction.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-08-21", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1097/mnh.0b013e32833aa4ac", "unstructured": "Bobulescu IA. Renal lipid metabolism and lipotoxicity. Curr Opin Nephrol Hypertens. 2010 Jul;19(4):393-402. doi: 10.1097/ MNH.0b013e32833aa4ac, PMID 20489613" }, { "key": "ref2", "doi": "10.1007/s11886-011-0220-3", "unstructured": "Talayero BG, Sacks FM. The role of triglycerides in atherosclerosis. Curr Cardiol Rep. 2011 Dec;13(6):544-52. doi: 10.1007/s11886-011- 0220-3, PMID 21968696" }, { "key": "ref3", "doi": "10.1186/s12933-018-0762-4", "unstructured": "Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122. doi: 10.1186/s12933-018-0762- 4, PMID 30170598" }, { "key": "ref4", "doi": "10.7555/jbr.27.20120077", "unstructured": "Jiang ZG, Robson SC, Yao Z. Lipoprotein metabolism in non-alcoholic fatty liver disease. 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Semin Nephrol. 2009 Nov;29(6):610-" }, { "key": "ref8", "doi": "10.1016/j.semnephrol.2009.07.006", "unstructured": "doi: 10.1016/j.semnephrol.2009.07.006, PMID 20006793" }, { "key": "ref9", "doi": "10.1016/j.cdtm.2020.03.002", "unstructured": "Tao M, Wang HP, Sun J, Tian J. Progress of research on dyslipidemia accompanied by nephrotic syndrome. Chronic Dis Transl Med. 2020 Sep;6(3):182-7. doi: 10.1016/j. cdtm.2020.03.002, PMID 32885154" }, { "key": "ref10", "doi": "10.1016/s0140-6736(13)60595-4", "unstructured": "Gansevoort RT, Correa-Rotter R, Hemmelgarn BR, Jafar TH, Heerspink HJ, Mann JF, et al. chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382(9889):339-52. doi: 10.1016/ S0140-6736(13)60595-4, PMID 23727170" }, { "key": "ref11", "doi": "10.1016/j.jhep.2011.12.030", "unstructured": "Cervoni JP, Thévenot T, Weil D, Muel E, Barbot O, Sheppard F, et al. C-reactive protein predicts short-term mortality in patients with cirrhosis. J Hepatol. 2012;56(6):1299-304. doi: 10.1016/j. jhep.2011.12.030, PMID 22314431" }, { "key": "ref12", "doi": "10.3389/fpubh.2022.895499", "unstructured": "Chen S, Cheng W. Relationship between lipid profiles and hypertension: A cross-sectional study of 62,957 Chinese adult males. Front Public Health. 2022; 10:895499. doi: 10.3389/ fpubh.2022.895499, PMID 35664125" }, { "key": "ref13", "doi": "10.1161/01.cir.83.4.1305", "unstructured": "Bønaa KH, Thelle DS. Association between blood pressure and serum lipids in a population. The Tromsø study. Circulation. 1991;83(4, Apr):1305-14. doi: 10.1161/01.CIR.83.4.1305, PMID 2013148" }, { "key": "ref14", "doi": "10.1161/jaha.115.003053", "unstructured": "Otsuka T, Takada H, Nishiyama Y, Kodani E, Saiki Y, Kato K et al. Dyslipidemia and the risk of developing hypertension in a working-age male population. 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Biochemical markers and lipid profile in nonalcoholic fatty liver disease patients in the Persian Guilan cohort study (PGCS), Iran. J Fam Med Prim Care. 2019 Mar;8(3):923-8. doi: 10.4103/jfmpc. PMID 31041226" }, { "key": "ref40", "doi": "10.36106/ijsr/9739450", "unstructured": "Kumari R, Kumar PS, Jana D. Dyslipidaemia in non-alcoholic fatty liver disease. IJSR. 2021:24-" }, { "key": "ref41", "doi": "10.36106/ijsr/9739450", "unstructured": "doi: 10.36106/ijsr/9739450" }, { "key": "ref42", "doi": "10.15171/jcvtr.2017.14", "unstructured": "Cuenza LR, Razon TLJ, Dayrit JC. Correlation between severity of ultrasonographic nonalcoholic fatty liver disease and cardiometabolic risk among Filipino wellness patients. J Cardiovasc Thorac Res. 2017;9(2):85-9. doi: 10.15171/ jcvtr.2017.14, PMID 28740627. Priyadarshini Roy, Lakshmi Nair: Estimation of blood lipid profile to study dyslipidemia in patients with hypertension, diabetes, liver and kidney disease" }, { "key": "ref43", "doi": "10.5455/medarh.2014.68.22-26", "unstructured": "Novakovic T, Mekic M, Smilic L, Smilic T, Inić-Kostic B, Jovicevic L et al. Anthropometric and biochemical characteristics of patients with nonalcoholic fatty liver diagnosed by non-invasive diagnostic methods. Med Arch. 2014 Feb;68(1):22-" }, { "key": "ref44", "doi": "10.5455/medarh.2014.68.22-26", "unstructured": "doi: 10.5455/medarh.2014.68.22-26, PMID 24783906" } ], "record": { "registrant": "Longman Publishers", "registered": "2026-08-27", "updated": "2026-09-20", "issue_number": 1, "source": "crossref-api", "source_agency": "Crossref (member 25296)" } }, "url_after": "https://www.jst.org.in/index.php/pub/article/view/774", "sha256_before": null, "sha256_after": "882399b7905775d69a701680a74774ff93742fce0eb9d174918697bacdf59be4" }, { "seq": 2, "kind": "update", "at": "2026-09-29 23:59:51", "by": "Administrator (admin)", "by_kind": "user", "note": "record re-read from api.crossref.org", "changes": [ { "path": "container.titles.0.value", "from": "Journal of Science & Technology", "to": "Journal of Science & Technology" } ], "record_after": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2023.v8.i08.pp1-17", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Estimation of blood lipid profile to study dyslipidemia in patients with hypertension, diabetes, liver and kidney disease", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2023.v8.i08.pp1-17" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "Priyadarshini Roy" }, "sequence": "first" }, { "role": "author", "name": { "given": "", "family": "Lakshmi Nair" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2023-08-21", "date_type": "PublicationDate", "online": "2023-08-21" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "volume": "08", "issue": "08", "pages": { "first": "01", "last": "17" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/774", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/774/701", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/774/1721", "purpose": "text-mining", "return_type": "application/xml" }, { "url": "https://jst.org.in/index.php/pub/article/view/774/701", "purpose": "similarity-checking" } ], "abstract": { "value": "Introduction: Lipotoxicity is a result of hyperlipidemia. Lipid and cholesterol buildup in the arteries causes atherosclerosis, which damages key organs including the heart and kidneys and causes cardiovascular disorders.Methods: Fasting blood samples were collected and tested using an automated biochemistry analyzer for dyslipidemia screening. Five participant groups—those with hypertension, diabetes, kidney disease, or liver disease—as well as a control group of people without these conditions—were used to collect the data. There were 101 patients in the study, with at least 20 volunteers in each group ranging in age from 18 to 70. The data were statistically compared using the independent two-sample t-test.Results: Hypertension and diabetes associated participants had an increased mean of low-density lipoprotein, very low-density lipoprotein, total cholesterol, and triglycerides levels than control (p<0.05). These were likewise higher in kidney disease patients compared to the control group (p<0.05). High-density lipoprotein levels did not change significantly in these groups. In liver disease patients mean triglycerides and very low-density lipoprotein levels were found significantly higher when compared to the control group (p<0.05). Mean high density lipoprotein levels in individuals with liver disease reveal a significant drop when compared to the control group, with a 90% confidence level.Conclusion: A link between hyperlipidemia and patients with hypertension, diabetes, liver disease, and renal disease was observed. Diabetes and high blood pressure were present in the majority of patients with renal and hepatic dysfunction.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0/", "start": "2023-08-21", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.1097/mnh.0b013e32833aa4ac", "unstructured": "Bobulescu IA. Renal lipid metabolism and lipotoxicity. Curr Opin Nephrol Hypertens. 2010 Jul;19(4):393-402. doi: 10.1097/ MNH.0b013e32833aa4ac, PMID 20489613" }, { "key": "ref2", "doi": "10.1007/s11886-011-0220-3", "unstructured": "Talayero BG, Sacks FM. The role of triglycerides in atherosclerosis. Curr Cardiol Rep. 2011 Dec;13(6):544-52. doi: 10.1007/s11886-011- 0220-3, PMID 21968696" }, { "key": "ref3", "doi": "10.1186/s12933-018-0762-4", "unstructured": "Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122. doi: 10.1186/s12933-018-0762- 4, PMID 30170598" }, { "key": "ref4", "doi": "10.7555/jbr.27.20120077", "unstructured": "Jiang ZG, Robson SC, Yao Z. Lipoprotein metabolism in non-alcoholic fatty liver disease. J Biomed Res. 2013 Jan;27(1):1-13. doi: 10.7555/ JBR.27.20120077, PMID 23554788" }, { "key": "ref5", "doi": "10.1186/s12902-022-00980-1", "unstructured": "Pouwels S, Sakran N, Graham Y, Leal A, Pintar T, Yang W et al. Non-alcoholic fatty liver disease (NAFLD): a review of pathophysiology, clinical management and effects of weight loss. BMC Endocr Disord. 2022;22(1):63. doi: 10.1186/ s12902-022-00980-1, PMID 35287643" }, { "key": "ref6", "doi": "10.1002/cld.1017", "unstructured": "Przybyszewski EM, Targher G, Roden M, Corey KE. Nonalcoholic fatty liver disease and cardiovascular disease. Clin Liver Dis. 2021;17(1):19-22. doi: 10.1002/cld.1017, PMID 33552481" }, { "key": "ref7", "doi": "10.1016/j.semnephrol.2009.07.006", "unstructured": "Choudhury D, Tuncel M, Levi M. Disorders of lipid metabolism and chronic kidney disease in the elderly. 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