Significant role of some miRNAs as biomarkers for the degree of obesity
Background Obesity is one of the most serious problems over the world. MicroRNAs have developed as main mediators of metabolic processes, playing significant roles in physiological processes. Thus, the present study aimed to evaluate the expressions of (miR-15a, miR-Let7, miR-344, and miR-365) and i...
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| Veröffentlicht in: | Journal of Genetic Engineering and Biotechnology 2023-12, Vol.21 (1), p.109, Article 109 |
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| creator | Gouda, Weaam Ahmed, Amr E. Mageed, Lamiaa Hassan, Amgad K. Afify, Mie Hamimy, W. I. Ragab, Halla M. Maksoud, Nabila Abd El Allayeh, Abdou K. Abdelmaksoud, Mohamed D. E. |
| description | Background
Obesity is one of the most serious problems over the world. MicroRNAs have developed as main mediators of metabolic processes, playing significant roles in physiological processes. Thus, the present study aimed to evaluate the expressions of (miR-15a, miR-Let7, miR-344, and miR-365) and its relationship with the different classes in obese patients.
Methods
A total of 125 individuals were enrolled in the study and classified into four groups: healthy non-obese controls (
n
= 50), obese class I (
n
= 24), obese class II (
n
= 17), and obese class III (
n
= 34) concerning body mass index (BMI |
| doi_str_mv | 10.1186/s43141-023-00559-w |
| format | Article |
| fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10628096</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A771879206</galeid><sourcerecordid>A771879206</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-f20cfbe1e09df262ebae029c350ec4b1a30622bcf155d78e2c3507e5e01be26f3</originalsourceid><addsrcrecordid>eNp9kVFLHDEUhYNYdLH-gT4F-jz2JplMJk-yiG4L0kKr0LeQydyM0Z2JTWYV_32zrlQEafIQuPecj0MOIZ8YnDDWNl9yLVjNKuCiApBSV497ZMFBQyU1h32yYE2rKibV70NynPMtlCPrlkl2QA6F0gKkFguy-hWGKfjg7DTTFNdIo6c5jkjH8PP7MlObaRfiaNMdpkx9THS-QdrjkPBZGzvMYX76SD54u854_PIekeuL86uzr9Xlj9W3s-Vl5WoFc-U5ON8hQ9C95w3HziJw7YQEdHXHrICG8855JmWvWuTbjUKJwDrkjRdH5HTHvd90I_YOpznZtblPoUR8MtEG83YzhRszxAfDCrgF3RTC5xdCin82mGdzGzdpKqENb9umboTU-lU12DWaMPlYaG4M2ZmlUqxV5ZO3rJN3VOX2OAYXJ_ShzN8Y-M7gUsw5of-XnIHZ9mp2vZrSq3nu1TwWk9iZchFPA6bXxP9x_QU2cKOo</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2886463599</pqid></control><display><type>article</type><title>Significant role of some miRNAs as biomarkers for the degree of obesity</title><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Gouda, Weaam ; Ahmed, Amr E. ; Mageed, Lamiaa ; Hassan, Amgad K. ; Afify, Mie ; Hamimy, W. I. ; Ragab, Halla M. ; Maksoud, Nabila Abd El ; Allayeh, Abdou K. ; Abdelmaksoud, Mohamed D. E.</creator><creatorcontrib>Gouda, Weaam ; Ahmed, Amr E. ; Mageed, Lamiaa ; Hassan, Amgad K. ; Afify, Mie ; Hamimy, W. I. ; Ragab, Halla M. ; Maksoud, Nabila Abd El ; Allayeh, Abdou K. ; Abdelmaksoud, Mohamed D. E.</creatorcontrib><description>Background
Obesity is one of the most serious problems over the world. MicroRNAs have developed as main mediators of metabolic processes, playing significant roles in physiological processes. Thus, the present study aimed to evaluate the expressions of (miR-15a, miR-Let7, miR-344, and miR-365) and its relationship with the different classes in obese patients.
Methods
A total of 125 individuals were enrolled in the study and classified into four groups: healthy non-obese controls (
n
= 50), obese class I (
n
= 24), obese class II (
n
= 17), and obese class III (
n
= 34) concerning body mass index (BMI < 30 kg/m
2
, BMI 30–34.9 kg/m
2
, BMI 35–39.9 kg/m
2
and BMI ≥ 40 kg/m
2
, respectively). BMI and the biochemical measurements (fasting glucose, total cholesterol, triglycerides, HDL and LDL, urea, creatinine, AST, and ALT) were determined. The expressions of (miR-15a, miR-Let7, miR-344, and miR-365) were detected through quantitative real-time PCR (RT-qPCR).
Results
There was a significant difference between different obese classes and controls (
P
< 0.05) concerning (BMI, TC, TG, HDL, and LDL). In contrast, fasting glucose, kidney, and liver functions had no significant difference. Our data revealed that the expression of miR-15a and miR-365 were significantly associated with different obese classes. But the circulating miR-Let7 and miR-344 were not significantly related to obesity in different classes.
Conclusion
Our study indicated that miR-15a and miR-365 might consider as biomarkers for the obesity development into different obese classes. Thus, the relationship between regulatory microRNAs and disease has been the object of intense investigation.</description><identifier>ISSN: 1687-157X</identifier><identifier>EISSN: 2090-5920</identifier><identifier>DOI: 10.1186/s43141-023-00559-w</identifier><identifier>PMID: 37930593</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adipocytes ; Analysis and chemistry ; Apoptosis ; Bioinformatics ; Biological markers ; Biomarkers ; Biomedical Engineering and Bioengineering ; Biotechnology ; Blood ; Body fat ; Body mass index ; Body size ; Cell cycle ; Cholesterol ; Creatinine ; Dextrose ; Engineering ; Ethylenediaminetetraacetic acid ; Fasting ; Genetic Engineering ; Genetics and Genomics ; Glucose ; High density lipoprotein ; Liver ; Low density lipoprotein ; Low density lipoproteins ; Metabolism ; MicroRNA ; MicroRNAs ; miRNA ; Musculoskeletal system ; Obesity ; Physiological aspects ; Proteomics ; Statistical analysis ; Triglycerides ; Urea ; Variance analysis</subject><ispartof>Journal of Genetic Engineering and Biotechnology, 2023-12, Vol.21 (1), p.109, Article 109</ispartof><rights>The Author(s) 2023</rights><rights>COPYRIGHT 2023 Springer</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c470t-f20cfbe1e09df262ebae029c350ec4b1a30622bcf155d78e2c3507e5e01be26f3</cites><orcidid>0000-0002-5571-142X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628096/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628096/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Gouda, Weaam</creatorcontrib><creatorcontrib>Ahmed, Amr E.</creatorcontrib><creatorcontrib>Mageed, Lamiaa</creatorcontrib><creatorcontrib>Hassan, Amgad K.</creatorcontrib><creatorcontrib>Afify, Mie</creatorcontrib><creatorcontrib>Hamimy, W. I.</creatorcontrib><creatorcontrib>Ragab, Halla M.</creatorcontrib><creatorcontrib>Maksoud, Nabila Abd El</creatorcontrib><creatorcontrib>Allayeh, Abdou K.</creatorcontrib><creatorcontrib>Abdelmaksoud, Mohamed D. E.</creatorcontrib><title>Significant role of some miRNAs as biomarkers for the degree of obesity</title><title>Journal of Genetic Engineering and Biotechnology</title><addtitle>J Genet Eng Biotechnol</addtitle><description>Background
Obesity is one of the most serious problems over the world. MicroRNAs have developed as main mediators of metabolic processes, playing significant roles in physiological processes. Thus, the present study aimed to evaluate the expressions of (miR-15a, miR-Let7, miR-344, and miR-365) and its relationship with the different classes in obese patients.
Methods
A total of 125 individuals were enrolled in the study and classified into four groups: healthy non-obese controls (
n
= 50), obese class I (
n
= 24), obese class II (
n
= 17), and obese class III (
n
= 34) concerning body mass index (BMI < 30 kg/m
2
, BMI 30–34.9 kg/m
2
, BMI 35–39.9 kg/m
2
and BMI ≥ 40 kg/m
2
, respectively). BMI and the biochemical measurements (fasting glucose, total cholesterol, triglycerides, HDL and LDL, urea, creatinine, AST, and ALT) were determined. The expressions of (miR-15a, miR-Let7, miR-344, and miR-365) were detected through quantitative real-time PCR (RT-qPCR).
Results
There was a significant difference between different obese classes and controls (
P
< 0.05) concerning (BMI, TC, TG, HDL, and LDL). In contrast, fasting glucose, kidney, and liver functions had no significant difference. Our data revealed that the expression of miR-15a and miR-365 were significantly associated with different obese classes. But the circulating miR-Let7 and miR-344 were not significantly related to obesity in different classes.
Conclusion
Our study indicated that miR-15a and miR-365 might consider as biomarkers for the obesity development into different obese classes. Thus, the relationship between regulatory microRNAs and disease has been the object of intense investigation.</description><subject>Adipocytes</subject><subject>Analysis and chemistry</subject><subject>Apoptosis</subject><subject>Bioinformatics</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Biotechnology</subject><subject>Blood</subject><subject>Body fat</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cell cycle</subject><subject>Cholesterol</subject><subject>Creatinine</subject><subject>Dextrose</subject><subject>Engineering</subject><subject>Ethylenediaminetetraacetic acid</subject><subject>Fasting</subject><subject>Genetic Engineering</subject><subject>Genetics and Genomics</subject><subject>Glucose</subject><subject>High density lipoprotein</subject><subject>Liver</subject><subject>Low density lipoprotein</subject><subject>Low density lipoproteins</subject><subject>Metabolism</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>miRNA</subject><subject>Musculoskeletal system</subject><subject>Obesity</subject><subject>Physiological aspects</subject><subject>Proteomics</subject><subject>Statistical analysis</subject><subject>Triglycerides</subject><subject>Urea</subject><subject>Variance analysis</subject><issn>1687-157X</issn><issn>2090-5920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kVFLHDEUhYNYdLH-gT4F-jz2JplMJk-yiG4L0kKr0LeQydyM0Z2JTWYV_32zrlQEafIQuPecj0MOIZ8YnDDWNl9yLVjNKuCiApBSV497ZMFBQyU1h32yYE2rKibV70NynPMtlCPrlkl2QA6F0gKkFguy-hWGKfjg7DTTFNdIo6c5jkjH8PP7MlObaRfiaNMdpkx9THS-QdrjkPBZGzvMYX76SD54u854_PIekeuL86uzr9Xlj9W3s-Vl5WoFc-U5ON8hQ9C95w3HziJw7YQEdHXHrICG8855JmWvWuTbjUKJwDrkjRdH5HTHvd90I_YOpznZtblPoUR8MtEG83YzhRszxAfDCrgF3RTC5xdCin82mGdzGzdpKqENb9umboTU-lU12DWaMPlYaG4M2ZmlUqxV5ZO3rJN3VOX2OAYXJ_ShzN8Y-M7gUsw5of-XnIHZ9mp2vZrSq3nu1TwWk9iZchFPA6bXxP9x_QU2cKOo</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Gouda, Weaam</creator><creator>Ahmed, Amr E.</creator><creator>Mageed, Lamiaa</creator><creator>Hassan, Amgad K.</creator><creator>Afify, Mie</creator><creator>Hamimy, W. I.</creator><creator>Ragab, Halla M.</creator><creator>Maksoud, Nabila Abd El</creator><creator>Allayeh, Abdou K.</creator><creator>Abdelmaksoud, Mohamed D. E.</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>LK8</scope><scope>M7P</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5571-142X</orcidid></search><sort><creationdate>20231201</creationdate><title>Significant role of some miRNAs as biomarkers for the degree of obesity</title><author>Gouda, Weaam ; Ahmed, Amr E. ; Mageed, Lamiaa ; Hassan, Amgad K. ; Afify, Mie ; Hamimy, W. I. ; Ragab, Halla M. ; Maksoud, Nabila Abd El ; Allayeh, Abdou K. ; Abdelmaksoud, Mohamed D. E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-f20cfbe1e09df262ebae029c350ec4b1a30622bcf155d78e2c3507e5e01be26f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adipocytes</topic><topic>Analysis and chemistry</topic><topic>Apoptosis</topic><topic>Bioinformatics</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Biotechnology</topic><topic>Blood</topic><topic>Body fat</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cell cycle</topic><topic>Cholesterol</topic><topic>Creatinine</topic><topic>Dextrose</topic><topic>Engineering</topic><topic>Ethylenediaminetetraacetic acid</topic><topic>Fasting</topic><topic>Genetic Engineering</topic><topic>Genetics and Genomics</topic><topic>Glucose</topic><topic>High density lipoprotein</topic><topic>Liver</topic><topic>Low density lipoprotein</topic><topic>Low density lipoproteins</topic><topic>Metabolism</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>miRNA</topic><topic>Musculoskeletal system</topic><topic>Obesity</topic><topic>Physiological aspects</topic><topic>Proteomics</topic><topic>Statistical analysis</topic><topic>Triglycerides</topic><topic>Urea</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gouda, Weaam</creatorcontrib><creatorcontrib>Ahmed, Amr E.</creatorcontrib><creatorcontrib>Mageed, Lamiaa</creatorcontrib><creatorcontrib>Hassan, Amgad K.</creatorcontrib><creatorcontrib>Afify, Mie</creatorcontrib><creatorcontrib>Hamimy, W. I.</creatorcontrib><creatorcontrib>Ragab, Halla M.</creatorcontrib><creatorcontrib>Maksoud, Nabila Abd El</creatorcontrib><creatorcontrib>Allayeh, Abdou K.</creatorcontrib><creatorcontrib>Abdelmaksoud, Mohamed D. E.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of Genetic Engineering and Biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gouda, Weaam</au><au>Ahmed, Amr E.</au><au>Mageed, Lamiaa</au><au>Hassan, Amgad K.</au><au>Afify, Mie</au><au>Hamimy, W. I.</au><au>Ragab, Halla M.</au><au>Maksoud, Nabila Abd El</au><au>Allayeh, Abdou K.</au><au>Abdelmaksoud, Mohamed D. E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Significant role of some miRNAs as biomarkers for the degree of obesity</atitle><jtitle>Journal of Genetic Engineering and Biotechnology</jtitle><stitle>J Genet Eng Biotechnol</stitle><date>2023-12-01</date><risdate>2023</risdate><volume>21</volume><issue>1</issue><spage>109</spage><pages>109-</pages><artnum>109</artnum><issn>1687-157X</issn><eissn>2090-5920</eissn><abstract>Background
Obesity is one of the most serious problems over the world. MicroRNAs have developed as main mediators of metabolic processes, playing significant roles in physiological processes. Thus, the present study aimed to evaluate the expressions of (miR-15a, miR-Let7, miR-344, and miR-365) and its relationship with the different classes in obese patients.
Methods
A total of 125 individuals were enrolled in the study and classified into four groups: healthy non-obese controls (
n
= 50), obese class I (
n
= 24), obese class II (
n
= 17), and obese class III (
n
= 34) concerning body mass index (BMI < 30 kg/m
2
, BMI 30–34.9 kg/m
2
, BMI 35–39.9 kg/m
2
and BMI ≥ 40 kg/m
2
, respectively). BMI and the biochemical measurements (fasting glucose, total cholesterol, triglycerides, HDL and LDL, urea, creatinine, AST, and ALT) were determined. The expressions of (miR-15a, miR-Let7, miR-344, and miR-365) were detected through quantitative real-time PCR (RT-qPCR).
Results
There was a significant difference between different obese classes and controls (
P
< 0.05) concerning (BMI, TC, TG, HDL, and LDL). In contrast, fasting glucose, kidney, and liver functions had no significant difference. Our data revealed that the expression of miR-15a and miR-365 were significantly associated with different obese classes. But the circulating miR-Let7 and miR-344 were not significantly related to obesity in different classes.
Conclusion
Our study indicated that miR-15a and miR-365 might consider as biomarkers for the obesity development into different obese classes. Thus, the relationship between regulatory microRNAs and disease has been the object of intense investigation.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>37930593</pmid><doi>10.1186/s43141-023-00559-w</doi><orcidid>https://orcid.org/0000-0002-5571-142X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1687-157X |
| ispartof | Journal of Genetic Engineering and Biotechnology, 2023-12, Vol.21 (1), p.109, Article 109 |
| issn | 1687-157X 2090-5920 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10628096 |
| source | DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Adipocytes Analysis and chemistry Apoptosis Bioinformatics Biological markers Biomarkers Biomedical Engineering and Bioengineering Biotechnology Blood Body fat Body mass index Body size Cell cycle Cholesterol Creatinine Dextrose Engineering Ethylenediaminetetraacetic acid Fasting Genetic Engineering Genetics and Genomics Glucose High density lipoprotein Liver Low density lipoprotein Low density lipoproteins Metabolism MicroRNA MicroRNAs miRNA Musculoskeletal system Obesity Physiological aspects Proteomics Statistical analysis Triglycerides Urea Variance analysis |
| title | Significant role of some miRNAs as biomarkers for the degree of obesity |
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