{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T01:17:18Z","timestamp":1793236638767,"version":"4.5.0"},"reference-count":29,"publisher":"Consilium Medicum","issue":"8","license":[{"start":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T00:00:00Z","timestamp":1756339200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Terapevticheskii arkhiv"],"abstract":"<jats:p>Aim. To evaluate the possibility of using serum markers of atrophy (pepsinogens \u2013 PG I and II) to form high-risk groups for gastric cancer (Operative Link for Gastritis Assessment \u2013 OLGA stage III\u2013IV) depending on the etiology of gastritis.\r\nMaterials and methods. A total of 237 (56 men and 181 women) patients were examined. All patients underwent a 13C-urea breath test, a blood test for GastroPanel (PG I, PG II, gastrin-17, antibodies to Helicobacter pylori immunoglobulin G), a blood test for antibodies to gastric parietal cells. All patients underwent esophagogastroduodenoscopy with a biopsy of the gastric mucosa from 5 standard points according to the Sydney system and a histomorphological study according to the OLGA system, as well as a biopsy to detect H. pylori infection using the polymerase chain reaction. The patients were divided into 3 groups depending on the etiology of gastritis: Group 1 included 55 patients with chronic gastritis, autoimmune gastritis and associated with H. pylori gastritis (AIG+HP+); Group 2 \u2013 47 patients with AIG and negative tests for H. pylori infection (AIG+HP-); Group 3 \u2013 135 patients with chronic gastritis associated with H. pylori and negative markers of AIG (AIG-HP+).\r\nResults. The analysis showed that in patients with AIG (group 2), the most reliable serological markers of atrophy predicted severe atrophy (OLGA stage III\u2013IV): when the ratio PG I\/PG II was \u2264 3, it was detected in 70.21% of cases, and when PG I decreased to \u2264 30 \u03bcg\/L, it was found in 68.08%. In group 1, stages III\u2013IV according to OLGA were diagnosed in 20% of cases with PG I\/PG II indicators \u2264 3; and in 18.18% with a decrease in PG I \u2264 30 \u03bcg\/L. When analyzing the diagnostic accuracy of GastroPanel biomarkers in identifying severe atrophy (OLGA stages III\u2013IV) in the total sample of patients (all 3 groups), it was possible to achieve cut-off indicators as close as possible to the reference values while maintaining a relatively high sensitivity and specificity \u2013 75.81% and 81.50% for PG I \u2264 30 \u03bcg\/L and 85.48% and 64.50% for PG I\/PG II \u2264 3, respectively. The optimal cut-off in the study population for the PG I indicator was  22.5 \u03bcg\/L (sensitivity \u2013 72.58%, specificity \u2013 88.00%), and for the PG I\/PG II ratio \u2264 2 (sensitivity \u2013 80.65%, specificity \u2013 78.50%).\r\nConclusion. Serum pepsinogens can be used in the Moscow population as a non-invasive marker of gastric mucosa atrophy for the formation of high-risk patient groups for gastric cancer requiring endoscopic examination.<\/jats:p>","DOI":"10.26442\/00403660.2025.08.203343","type":"journal-article","created":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T11:28:44Z","timestamp":1756380524000},"page":"651-659","source":"Crossref","is-referenced-by-count":4,"title":["Serological markers as predictors of the severity of gastric mucosal atrophy in autoimmune and &lt;i&gt;Helicobacter \u0440ylori&lt;\/i&gt;-associated gastritis"],"prefix":"10.26442","volume":"97","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0175-4328","authenticated-orcid":false,"given":"Margarita V.","family":"Chebotareva","sequence":"additional","affiliation":[{"name":"Loginov Moscow Clinical Scientific Center"},{"name":"Research Institute of Healthcare Organization and Medical Management"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1477-888X","authenticated-orcid":false,"given":"Karine A.","family":"Nikolskaya","sequence":"additional","affiliation":[{"name":"Loginov Moscow Clinical Scientific Center"},{"name":"Research Institute of Healthcare Organization and Medical Management"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4007-7112","authenticated-orcid":false,"given":"Dmitry N.","family":"Andreev","sequence":"additional","affiliation":[{"name":"Russian University of Medicine"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8515-6658","authenticated-orcid":false,"given":"Alexey S.","family":"Dorofeev","sequence":"additional","affiliation":[{"name":"Loginov Moscow Clinical Scientific 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