Simultaneous determination of plasma indoles by HPLC with fluorescence detection: Application in polycystic ovary syndrome patients with/without depression

Microbiota-derived indoles were closely associated with psychological disorders like depression. We aimed to develop an HPLC method with fluorescence detection (FLD) for simultaneous determination of plasma indoles, including indoxyl sulfate (3-INDS), indole-3-acetic acid (IAA), indole-3-propionate (IPA), indole (IND) and 3-methylindole (3-MI). Diethyl ether and ethyl acetate were selected as the mixed extractant for the sample preparation. The separation was carried out on a Shim-Pack VP-ODS column (150 × 4.6 mm, 4.6 µm) with the mobile phase composed of 10 mmol/L sodium dihydrogen phosphate/methanol (40:60, v/v). The excitation and emission wavelengths were set at 280 and 355 nm, respectively. The linearities in plasma were obtained in the range of 1.56–400.0 μmol/L for 3-INDS, 0.312–10.0 μmol/L for IAA, 0.125–6.00 μmol/L for IPA, 6.25–400.0 nmol/L for IND, and 1.56–400.0 nmol/L for 3-MI, respectively. The coefficients of variation (CVs) for each analyte of the intra-day and inter-day precisions were within 4.0 and 5.2%, respectively. The recoveries were in the range of 90.1–109.3%. This sensitive and accurate method was applied to analyze plasma indoles for the diagnostic of depression in the patients with polycystic ovary syndrome (PCOS). </p

Additional file 1 of Tofacitinib in the treatment of primary Sjögren’s syndrome-associated interstitial lung disease: study protocol for a prospective, randomized, controlled and open-label trial

Additional file 1

sj-docx-1-taj-10.1177_20406223231181490 – Supplemental material for Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram

Supplemental material, sj-docx-1-taj-10.1177_20406223231181490 for Predicting cardiovascular risk in a Chinese primary Sjögren’s syndrome population: development and assessment of a predictive nomogram by Jincheng Pu, Jiamin Song, Shengnan Pan, Shuqi Zhuang, Ronglin Gao, Yuanyuan Liang, Zhenzhen Wu, Yanqing Wang, Youwei Zhang, Lufei Yang, Fang Han, Huihong Wu, Jianping Tang and Xuan Wang in Therapeutic Advances in Chronic Disease</p