{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T21:37:01Z","timestamp":1784842621961,"version":"3.55.0"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Pediatr."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Specific learning disorder (SLD) is frequently characterized by weaknesses in working memory and processing speed; however, its biological correlates remain unclear. In this study, we investigate whether inexpensive, blood count\u2013derived inflammation composites and micronutrients are related to cognitive variation in SLD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this cross-sectional study, participants in the SLD group underwent Wechsler Intelligence Scale for Children\u2013Fourth Edition assessment to characterize their cognitive profile, yielding a Full-Scale IQ (FSIQ) and four index scores: Verbal Comprehension, Perceptual Reasoning, Working Memory, and Processing Speed. Fasting blood samples were obtained from all participants for routine hematology\/biochemistry, vitamin B12 and folate, C-reactive protein (CRP), and the composite indices, the systemic immune-inflammation index (SII), the systemic inflammation response index (SIRI), and the pan-immune-inflammation value (PIV).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      We enrolled 52 children\/adolescents with SLD and 56 age-matched healthy controls (HC). The groups were similar in terms of age and sex. Compared with the HC group, the SLD group had a lower vitamin B12 (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.008) and a higher PIV (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.025), whereas CRP, SII, SIRI, and folate levels did not differ significantly. Within the SLD group, higher cell-based inflammatory indices correlated with poorer cognitive performance, most consistently for the PIV in relation to processing speed and working memory, while vitamin B12 correlated positively with FSIQ, working memory, and processing speed. In the adjusted analyses of the full case\u2013control sample, a higher PIV was independently associated with an increased likelihood of SLD, whereas a higher vitamin B12 level was independently associated with a decreased likelihood of SLD. SII and SIRI exhibited positive trend-level associations, whereas folate showed no association with group membership.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In this case\u2013control study, SLD was associated with lower vitamin B12 levels and higher PIV values than healthy controls. Within the SLD group, higher inflammatory composite indices and lower vitamin B12 levels were associated with poorer cognitive performance, particularly in processing speed and working memory. These findings should be interpreted as associations within a case\u2013control framework and warrant further longitudinal and mechanistic studies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fped.2026.1757441","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:49:22Z","timestamp":1776059362000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Cognitive profile and inflammatory markers in children and adolescents with specific learning disorder: a cross-sectional study"],"prefix":"10.3389","volume":"14","author":[{"given":"Umut","family":"Balatac\u0131","sequence":"first","affiliation":[{"name":"Private Practitioner, Child and Adolescent Psychiatry","place":["\u0130stanbul, T\u00fcrkiye"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bari","family":"Ay","sequence":"additional","affiliation":[{"name":"Private Practitioner, Clinic of Child and 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