{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T01:56:44Z","timestamp":1785463004876,"version":"3.56.0"},"reference-count":28,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:00:00Z","timestamp":1772928000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T00:00:00Z","timestamp":1772928000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["American J of Med Genetics Pt A"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Down syndrome (DS) is the most common chromosomal abnormality associated with intellectual disabilities. Many metabolic issues begin in childhood, and children without DS are reported to have a high prevalence of metabolic syndrome (MS) according to various studies. However, our understanding of the risk of MS in children with DS is limited. A cross\u2010sectional study assessed the prevalence of MS in DS children aged 10\u201318 during 2022\u20132024. Demographic details and anthropometric measurements were recorded for all participants. Fasting blood samples were collected for blood glucose, insulin, and lipid profile analysis. The modified NCEP\u2010ATP III criteria were used to classify the MS. We also evaluated insulin resistance (IR) using HOMA\u2010IR and body adiposity patterns with a DEXA scan in DS children aged 6\u201318. Seventy\u2010six children aged 10\u201318 and 38 aged 6\u20139 were enrolled. The prevalence of MS was 18% in our cohort. Dyslipidemia (high triglycerides and low HDL) was observed in 21% and 15.8% of children aged 6\u20139 and 10\u201318, respectively. IR was observed in 27.6% and 7.8% of children aged 10\u201318 and 6\u20139, respectively. IR was positively correlated with BMI, whereas no correlation was observed with MS or dyslipidemia. Total body fat mass was positively correlated with MS. Our study observed a higher prevalence (18.0%) of MS than age\u2010matched general population studies (pooled prevalence: 5.0%). Additionally, we observed a high prevalence of dyslipidemia and IR from 6\u2009years of age. The results indicate the need to review the management guidelines and consider incorporating metabolic workups.<\/jats:p>","DOI":"10.1002\/ajmg.a.70110","type":"journal-article","created":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T16:57:22Z","timestamp":1772989042000},"page":"1573-1581","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["High Metabolic Syndrome Prevalence in Down Syndrome Children: Need for New Guidelines"],"prefix":"10.1002","volume":"200","author":[{"given":"Selvamanojkumar","family":"Sundaravel","sequence":"first","affiliation":[{"name":"Division of Genetics, Department of Pediatrics All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neerja","family":"Gupta","sequence":"additional","affiliation":[{"name":"Division of Genetics, Department of Pediatrics All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vandana","family":"Jain","sequence":"additional","affiliation":[{"name":"Division of Pediatric Endocrinology, Department of Pediatrics All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rajni","family":"Sharma","sequence":"additional","affiliation":[{"name":"Division of Pediatric Endocrinology, Department of Pediatrics All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Manisha","family":"Jana","sequence":"additional","affiliation":[{"name":"Department of Radiodiagnosis All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lakshmy","family":"Ramakrishnan","sequence":"additional","affiliation":[{"name":"Department of Cardiac Biochemistry All India Institute of Medical Sciences  New Delhi India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3315-9782","authenticated-orcid":false,"given":"Madhulika","family":"Kabra","sequence":"additional","affiliation":[{"name":"Division of Genetics, Department of Pediatrics All India Institute of Medical Sciences  New Delhi 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