CORRECTION article

Front. Aging Neurosci., 19 November 2024

Sec. Neurocognitive Aging and Behavior

Volume 16 - 2024 | https://doi.org/10.3389/fnagi.2024.1519363

Corrigendum: Association of trimethylamine oxide and its precursors with cognitive impairment: a systematic review and meta-analysis

  • 1. Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China

  • 2. Chengdu University of Traditional Chinese Medicine, Chengdu, China

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In the published article, there were errors in Figures 1, 2 and Tables 1, 2 as published. The order of the images in Figures 1 and 2 is reversed (the titles are correct, but the sequence of the images is incorrect). The first row of authors and references in Table 1, “Zhong (Zhong et al., 2021),” is incorrect. The correct citation should be “Zhu (Zhu et al., 2019)”. In Table 2, the references in the subgroup analysis for the group under 65, specifically “(Zhu et al., 2019; de Oliveira Otto et al., 2022; Wang et al., 2023)” are incorrect. They should be: “Zhong et al., 2021; Buawangpong et al., 2022; Xu et al., 2022.” The corrected Figures 1, 2 and Tables 1, 2 appear below.

Figure 1

Figure 1

Meta-analysis flow chart.

Figure 2

Figure 2

Odds ratio and 95% confidence interval of plasma trimethylamine oxide (TMAO) levels for cognitive impairment.

Table 1

References Year Country Study design Age*, y Males, % Population Exposure Measurement method of exposure Source of exposure Diagnosis of CI Participants, n Study period Hypertension, n (%) Diabetes, n (%) Drinking, n (%) Coronary heart disease, n (%) Adjusted confounders
Zhu (Zhu et al., 2019) 2019 China Cohort 67.1 ± 11.0 54.3 Stroke TMAO HPLC-MS/MS Blood MMSE 256 Jan 2017–Dec 2017 148 (57.8) 71 (27.7) 92 (35.9) 28 (10.9) Age, education level, hypertension, diabetes, recurrent stroke, initial NIHSS score, white matter lesions, low density lipoprotein, Hs-CRP, and homocysteine leve;
Liu (Liu et al., 2021) 2021 China Cross sectional N/A 49.01 No disease restrictions Choline Questionnaire Dietary WLS, AF, DSST 2393 2011–2012, 2013–2014 1,502 (62.8) 559 (23.4) 1,666 (69.6) N/A Age, gender, BMI, alcohol consumption, and hypertension;
Zhong (Zhong et al., 2021) 2021 China Cohort 60 ± 10.5 70.19 Stroke TMAO, Choline, Betaine UPLC-MS/MS Blood MMSE, MoCA 617 Aug 2009–May 2013 475 (77.0) 104 (16.9) N/A 66 (10.7) Time from onset to randomization, admission NIHSS score, systolic BP, fasting plasma glucose, estimated glomerular filtration rate, medical history, use of antihypertensive and lipid-lowering medications, ischemic stroke subtype, and randomized treatment.
Nida (Buawangpong et al., 2022) 2022 Thailand Cross sectional 64 ± 8.4 45.49 cardiovascular high risk TMAO LC-MS/MS blood MoCA 233 Apr 2011–Mar 2014 195 (83.7) 156 (67.0) N/A N/A Age, gender, health care service scheme, history of smoking, metabolic syndrome, and history of the established CV event.
Marcia (de Oliveira Otto et al., 2022) 2022 U.S. Cohort 71.6 ± 4.8 35 No disease restrictions TMAO, Choline, Betaine LC-MS/MS Blood 3MSE, IQCODE, TICS 3,178 1989–1990, 1992–1993 N/A N/A N/A N/A Red meat intake, fish, total energy consumption, eGFR, prevalent CHD, atrial fibrillation and heart failure.
Xu (Xu et al., 2022) 2022 China Cross sectional 64 (57.8–69) 51.78 T2DM TMAO HPLC-MS/MS Blood MoCA 253 Jan 2018–Dec 2020 75 (29.6) 253 (100) 62 (24.5) N/A N/A
Wang (Wang et al., 2023) 2023 China Cohort 77.40 ± 7.88 51.6 TIA TMAO LC-MS/MS Blood MMSE, MoCA, IQCODE 310 Jan 2020–July 2021 180 (58.1) 86 (27.7) N/A 26 (8.4) Age, sex, years of education, baseline NIHSS, intracranial atherosclerosis stenosis, Fazekas score, cortical microinfarcts and focal cerebral hypoperfusion.
Torres (Flores-Torres et al., 2022) 2022 U.S. Cohort N/A N/A No disease restrictions Choline Questionnaire Dietary N/A 77,501 2012–2014, 2008–2012 N/A N/A N/A N/A N/A
Shih (Shih et al., 2024) 2024 Taiwan, China Case- cohort N/A N/A No disease restrictions Choline Questionnaire Dietary MMSE 154 2019–2024 N/A N/A N/A N/A N/A

Basic characteristics.

CI, cognitive impairment; T2DM, type 2 diabetes mellitus; TIA, transient ischemic attack; TMAO, Trimethylamine oxide; HPLC-MS/MS, High performance liquid chromatography-tandem mass spectrometry; UPLC-MS/MS, Ultra Performance Liquid Chromatography-tandem mass spectrometry; LC-MS/MS, Liquid chromatography-tandem mass spectrometry; MMSE, Mini-Mental State Examination; WLS, the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) Word Learning subset; AF, the Animal Fluency test; DSST, the Digit Symbol Substitution Test; MoCA, Montreal Cognitive Assessment; IQCODE, Informant Questionnaire on Cognitive Decline in the Elderly; N/A, Not Applicable; TICS, the Telephone Interview for Cognitive Status.

Table 2

Subgroups Studies, n (references) OR 95%CI P between group I2, % P heterogeneity
All 6 (Zhu et al., 2019; Zhong et al., 2021; Buawangpong et al., 2022;de Oliveira Otto et al., 2022; Xu et al., 2022; Wang et al., 2023) 1.39 1.09–1.77 60 0.02
Population
Stroke 2 (Zhu et al., 2019; Zhong et al., 2021) 1.31 0.70–2.45 0.78 77 0.01
Others 4 (Buawangpong et al., 2022;de Oliveira Otto et al., 2022; Xu et al., 2022; Wang et al., 2023) 1.44 1.19–1.73 26 0.26
Design
Cohort study 4 (Zhu et al., 2019; Zhong et al., 2021;de Oliveira Otto et al., 2022; Wang et al., 2023) 1.37 0.94–1.99 0.68 67 0.02
Cross sectional study 2 (Buawangpong et al., 2022; Xu et al., 2022) 1.53 1.05–2.23 31 0.23
Olds
>65 3 (Zhu et al., 2019;de Oliveira Otto et al., 2022; Wang et al., 2023) 1.9 1.04–3.48 0.20 71 0.03
< 65 3 (Zhong et al., 2021; Buawangpong et al., 2022; Xu et al., 2022) 1.23 0.91–1.66 60 0.06
Males (%)
>50 4 (Zhu et al., 2019; Zhong et al., 2021; Xu et al., 2022; Wang et al., 2023) 1.4 1.01–1.94 0.83 69 0.01
< 50 2 (Buawangpong et al., 2022; de Oliveira Otto et al., 2022) 1.51 0.82–2.75 52 0.15
Diagnose
MMSE 2 (Zhu et al., 2019; Zhong et al., 2021) 1.68 0.49–5.79 0.89 87 < 0.01
MoCA 3 (Zhong et al., 2021; Buawangpong et al., 2022; Xu et al., 2022) 1.34 0.95–1.87 54 0.11
Others 2 (de Oliveira Otto et al., 2022; Wang et al., 2023) 1.52 0.88–2.64 61 0.11
Participants, n
< 250 4 (Zhong et al., 2021; Buawangpong et al., 2022; Xu et al., 2022; Wang et al., 2023) 1.88 0.71–4.94 0.50 81 0.02
>250 2 (Zhu et al., 2019; de Oliveira Otto et al., 2022) 1.32 0.99–1.76 58 0.05

Subgroup analysis.

OR, odds ratio; 95% CI, corresponding 95% confidence intervals; MMSE, Mini-Mental State Examination; MoCA, Montreal Cognitive Assessment.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

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Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Summary

Keywords

trimethylamine oxide, TMAO, circulating concentration, cognitive impairment, meta-analysis

Citation

Long C, Li Z, Feng H, Jiang Y, Pu Y, Tao J and Yue R (2024) Corrigendum: Association of trimethylamine oxide and its precursors with cognitive impairment: a systematic review and meta-analysis. Front. Aging Neurosci. 16:1519363. doi: 10.3389/fnagi.2024.1519363

Received

29 October 2024

Accepted

30 October 2024

Published

19 November 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

16 - 2024

Updates

Copyright

*Correspondence: Rensong Yue

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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