<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2024.1408424</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Association between dietary protein intake and risk of chronic kidney disease: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Cheng</surname> <given-names>Yu</given-names></name><xref rid="fn0003" ref-type="author-notes">
<sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1547624/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zheng</surname> <given-names>Guanghao</given-names></name><xref rid="fn0003" ref-type="author-notes">
<sup>&#x2020;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Song</surname> <given-names>Zhen</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname> <given-names>Gan</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Rao</surname> <given-names>Xuepeng</given-names></name>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zeng</surname> <given-names>Tao</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1927793/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff><institution>The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University</institution>, <addr-line>Nanchang</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Piergiorgio Messa, University of Milan, Italy</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Jeanette Mary Andrade, University of Florida, United States</p>
<p>Gerd Fax&#x00E9;n Irving, Karolinska Institutet (KI), Sweden</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Tao Zeng, <email>taozeng40709@sina.com</email></corresp>
<fn fn-type="equal" id="fn0003">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>11</volume>
<elocation-id>1408424</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Cheng, Zheng, Song, Zhang, Rao and Zeng.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Cheng, Zheng, Song, Zhang, Rao and Zeng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Objective</title>
<p>There is suggestive data indicating a correlation among dietary protein intake and the progression of chronic kidney disease (CKD). Nonetheless, the exact associations between dietary protein intake and the incidence of CKD have remained uncertain. We performed the first meta-analysis to explore the correlation among total protein, plant protein, animal protein intake and CKD risk.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>The study conformed the PRISMA statement guidelines. We comprehensively searched PubMed, Web of Science, and Embase until to December 2023. The retrieved studies underwent rigorous evaluation for eligibility, and relevant data were meticulously extracted. The Newcastle-Ottawa Scale (NOS) tool was applied to evaluate the risk of bias. Subsequently, relevant data were extracted and pooled to evaluate the relations among dietary protein intake and CKD incidence.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Totally, 6,191 articles were identified, six studies were eligible. A total of 148,051 participants with 8,746 CKD cases were included. All studies had a low overall risk of bias. Higher total, plant and animal protein intake were all correlated with decreased CKD incidence, pooled risk ratios (RRs) and 95% confidence intervals (CIs) were as follows: (RR&#x2009;=&#x2009;0.82, 95% CI&#x2009;=&#x2009;0.71&#x2013;0.94, <italic>p</italic>&#x2009;=&#x2009;0.005; I<sup>2</sup>&#x2009;=&#x2009;38%, <italic>p</italic>&#x2009;=&#x2009;0.17); (RR&#x2009;=&#x2009;0.77, 95% CI&#x2009;=&#x2009;0.61&#x2013;0.97, <italic>p</italic>&#x2009;=&#x2009;0.03; I<sup>2</sup>&#x2009;=&#x2009;77%, <italic>p</italic>&#x2009;=&#x2009;0.001); (RR&#x2009;=&#x2009;0.86, 95% CI&#x2009;=&#x2009;0.76&#x2013;0.97, <italic>p</italic>&#x2009;=&#x2009;0.02; I<sup>2</sup>&#x2009;=&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.59), respectively. For fish and seafood within animal protein: RR&#x2009;=&#x2009;0.84, 95% CI&#x2009;=&#x2009;0.74&#x2013;0.94. Subgroup analysis showed that geographical region, sample size, follow-up time, not assessing protein by food frequency questionnaire, using %energy as the measurement index, not adjusting for several covariates may be the sources of heterogeneity for plant protein. A significant non-linear relation among plant protein and incident CKD was observed by dose&#x2013;response analysis.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>The data showed a lower CKD risk significantly associated higher-level dietary total, plant or animal protein (especially for fish and seafood) intake. Further prospective studies demonstrating the correlations of precise sources, intake and duration of dietary protein and incident CKD are warranted.</p>
</sec>
</abstract>
<kwd-group>
<kwd>total protein</kwd>
<kwd>plant protein</kwd>
<kwd>animal protein</kwd>
<kwd>chronic kidney disease</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="9"/>
<word-count count="5658"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Chronic kidney disease (CKD) causes an elevated occurrence of many conditions involving multiple organs and systems and premature mortality. Furthermore, a considerable number of those with CKD could progress to renal failure, necessitating hemodialysis (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Given that CKD is a chronically progressive and nonreversible condition, primary prevention becomes imperative, even without kidney damage.</p>
<p>Previous studies showed that dietary interventional measures could be effective in slowing the progression of the disease and reducing associated complications (<xref ref-type="bibr" rid="ref3">3</xref>). About 90% of protein metabolic waste are excreted by the kidneys. Consequently, a higher protein intake may result in glomerular hyperfiltration and damage the kidney (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Hence, although the clinical evidence of benefit was limited, some guidelines recommend dietary interventional measures. The 2012 Kidney Disease: Improving Global Outcomes (KDIGO) guideline suggested maintaining a protein intake of 0.8&#x2009;g protein/kg (weight)/d for those with diabetes and CKD not treated with dialysis (<xref ref-type="bibr" rid="ref6">6</xref>). Additionally, for CKD patients not on dialysis and without diabetes, in adults with CKD 3&#x2013;5 who are metabolically stable, the National Kidney Foundation&#x2019;s Kidney Disease Outcomes Quality Initiative (KDOQI) recommended under close clinical supervision, protein restriction with or without keto acid analogs, to reduce risk for end-stage kidney disease (ESKD) and improve quality of life (<xref ref-type="bibr" rid="ref7">7</xref>). Nevertheless, these guidelines did not provide recommendations of specific sources, as well as the advices of dietary protein intake for the general population.</p>
<p>Previous researchers have focused on the relationship among dietary protein intake and kidney function in population without CKD. A meta-analysis indicated that high-level protein diets were correlated with growing estimated glomerular filtration rate (eGFR) among individuals without CKD (<xref ref-type="bibr" rid="ref8">8</xref>). However, studies that explored the association between dietary protein intake as well as specific sources and incident CKD were scarce. Two studies reported a beneficial correlation between high-level total protein intake and incident CKD (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref10">10</xref>), while three studies showed no significant relation of that (<xref ref-type="bibr" rid="ref11 ref12 ref13">11&#x2013;13</xref>). Of those, four studies indicated a beneficial correlation between high-level plant protein intake and incident CKD (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>), while one study showed no significant correlation (<xref ref-type="bibr" rid="ref9">9</xref>). In addition, three studies suggested no correlation among high-level animal protein intake and incident CKD (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>), while one study showed beneficial correlation (<xref ref-type="bibr" rid="ref9">9</xref>). Therefore, the relation between dietary protein intake as well as specific sources and the incidence of CKD remains uncertain.</p>
<p>With this background, we performed the first systematic review and meta-analysis to determine the exact correlations of dietary protein intake and CKD incidence.</p>
</sec>
<sec sec-type="materials|methods" id="sec6">
<title>Materials and methods</title>
<sec id="sec7">
<title>Data sources, literature search, and study selection</title>
<p>The study conformed the PRISMA statement guidelines (<xref ref-type="bibr" rid="ref15">15</xref>). The researchers performed a detailed retrieval of potential eligible studies from PubMed/Medline, Web of Science, and Embase from the inception of these databases up until December 25, 2023, using the following search terms: (protein [Title]) AND [(chronic kidney disease [Title/Abstract]) OR (CKD [Title/Abstract])]. We focused on studies written in the English language that involved human research. Furthermore, the authors manually searched the reference lists of eligible articles.</p>
<p>Two reviewers (YC, TZ) examined the titles and abstracts of potentially relevant articles. If there was disagreement, a consensus was achieved by discussing the issue and seeking input from a third reviewer (GH Z). The included articles met the following criteria: (1) explored the relationship among dietary protein intake and incident CKD, (2) was a prospective or case&#x2013;control study, (3) reported outcome indicators such as hazard ratios (HR), odds ratios (OR), relative risks (RR) and 95% confidence interval (CI), or provided sufficient data to calculate them, (4) performed the age-adjustment. Exclusion criteria: (1) explored the relationship among dietary protein intake and CKD progression rather than incident CKD, (2) retrospective studies, (3) did not report outcome indicators, (4) did not adjust age.</p>
</sec>
<sec id="sec8">
<title>Data extraction and risk of bias assessment</title>
<p>The detailed data of first author, year of publication, country, study name and design, sample description (sample size, age, sex), follow-up time, risk estimates (95% CI), and adjustment variables were extracted and the risk of bias was evaluated independently for the enrolled articles by two reviewers (YC and TZ). In cases where there was disagreement, decision was made by a third reviewer (GH Z).</p>
<p>The Newcastle-Ottawa Scale (NOS) for cohort and case&#x2013;control studies was used to assessed the risk of bias of the included studies (<xref ref-type="bibr" rid="ref16">16</xref>). The scale consists of eight questions that cover three aspects: (1) Selection (up to four stars); (2) Comparability (up to two stars); and (3) Exposure (for case&#x2013;control studies, up to three stars) or Outcome (for cohort studies, up to three stars). An overall risk of bias was categorized as: Low (7&#x2013;9 stars), Medium (4&#x2013;6 stars), or High (&#x003C;4 stars).</p>
</sec>
<sec id="sec9">
<title>Statistical analysis</title>
<p>The HRs and ORs were considered as the RRs. The standard errors (se) was calculated as (log(upper bound 95% CI of RR) &#x2013; log(RR)) /1.96. The log(RR)s were weighted by w<sub>i</sub>, calculated as 1/(se<sup>2</sup>&#x2009;+&#x2009;t<sup>2</sup>), where t<sup>2</sup> represented the restricted maximum likelihood estimate of the overall variance (<xref ref-type="bibr" rid="ref17">17</xref>). We referred to the Cochrane Handbook for Systematic Reviews of Interventions (<xref ref-type="bibr" rid="ref18">18</xref>) as a guide to perform the meta-analysis. In all analyses, we selected the risk estimate that was adjusted to its maximum extent. To evaluate heterogeneity, we used Q- and I<sup>2</sup>-statistics (<xref ref-type="bibr" rid="ref17">17</xref>). However, publication bias analysis was not conducted due to insufficient studies available (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Subgroup analyses were performed by stratifying geographic region (Asian and Western), sample size (&#x003C;7,000 and&#x2009;&#x2265;&#x2009;7,000), age (average or median: &#x003C;55 and&#x2009;&#x2265;&#x2009;55), follow up years (&#x003C;10 and&#x2009;&#x2265;&#x2009;10), whether to assess protein intake by food frequency questionnaire (FFQ), and whether to adjust for race, carbohydrate intake, low-density lipoprotein cholesterol (LDL), triglycerides (TG), systolic blood pressure (SBP), fasting blood sugar (FBS). Sensitivity analyses were carried out by systematically excluding individual studies to assess the impact of each study on the overall results. This evaluation aimed to determine the robustness of the findings when any single study was omitted. Additionally, a dose&#x2013;response analysis was conducted for plant protein. However, due to lack of data, we cannot perform a similar dose&#x2013;response analysis for animal protein.</p>
<p>RevMan software version 5.4 and R software version 4.3.2 were used. A <italic>p</italic> value less than 0.05 was statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec10">
<title>Results</title>
<sec id="sec11">
<title>Study selection</title>
<p>Totally, 6,191 publications were identified, 6,189 records from databases and two records from reference lists (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Titles and abstracts of 3,950 studies were assessed by removing duplicate studies. Full-text of nine studies were evaluated. Two studies were cross-sectional and one study only included diabetes population. Finally, six studies were enrolled (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12 ref13 ref14">9&#x2013;14</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flow diagram of the literature search strategy for the meta-analysis.</p>
</caption>
<graphic xlink:href="fnut-11-1408424-g001.tif"/>
</fig>
</sec>
<sec id="sec12">
<title>Study characteristics</title>
<p>All studies were based on prospective cohort design. Four studies derived from Asian countries and two studies derived from the US and UK. Totally, 148,051 participants and 8,746 CKD cases were included. Four studies adopted FFQ to evaluate dietary protein intake, one study used 24-h recall questionnaire and another study used brief-type self-administered diet history questionnaire (BDHQ). Five studies reported risk estimates of HR and one study reported OR. Five studies investigated the correlation among total protein or plant protein intake and CKD risk, and four studies explored animal protein intake. The detailed data was presented in <xref ref-type="table" rid="tab1">Table 1</xref>. A low overall risk of bias were observed in these six studies (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">First author (year)</th>
<th align="left" valign="top">Country</th>
<th align="left" valign="top">Study design</th>
<th align="left" valign="top">Population</th>
<th align="left" valign="top">Follow up</th>
<th align="left" valign="top">Protein intake (assessment, outcome for high vs. low)</th>
<th align="left" valign="top">Adjustment variables</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Alvirdizadeh (2020)</td>
<td align="left" valign="top">Iran</td>
<td align="left" valign="top">TLGS study, PC</td>
<td align="left" valign="top">Size: 1630<break/>Age: 42.8&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">6.1&#x2009;years</td>
<td align="left" valign="top">FFQ, OR (95% CI)<break/>Total protein: 0.59 (0.32&#x2013;1.08)<break/>Plant protein: 0.28 (0.14&#x2013;0.53)<break/>Animal protein: 0.91 (0.57&#x2013;1.44)</td>
<td align="left" valign="top">Age, sex, BMI, smoking, TEI, PA, total fiber intake and energy percent from fat, diabetes, hypertension, FBS and SBP</td>
</tr>
<tr>
<td align="left" valign="top">Haring (2018)</td>
<td align="left" valign="top">USA</td>
<td align="left" valign="top">ARIC study, PC</td>
<td align="left" valign="top">Size: 11952<break/>Age: 53.8&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">23&#x2009;years</td>
<td align="left" valign="top">FFQ, HR (95% CI)<break/>Total protein: 0.89 (0.76&#x2013;1.05)<break/>Plant protein: 0.76 (0.64&#x2013;0.91)<break/>Animal protein: 0.91 (0.78&#x2013;1.06)</td>
<td align="left" valign="top">Age, race, sex, BMI, education, alcohol, smoking, TEI, TCI, HDL, LDL, TG, TCHO, LLDs, SBP, AHDs, PA, leisure-time PA, and WHR</td>
</tr>
<tr>
<td align="left" valign="top">Heo (2023)</td>
<td align="left" valign="top">England</td>
<td align="left" valign="top">UK Biobank, PC</td>
<td align="left" valign="top">Size: 117809<break/>Age: 55.3&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">9.9&#x2009;years</td>
<td align="left" valign="top">24-h recall questionnaire<break/>HR (95% CI)<break/>Plant protein: 0.82 (0.73&#x2013;0.93)</td>
<td align="left" valign="top">Age, race, sex, BMI, socioeconomic status, alcohol, smoking, PA, TEI, fat, protein, carbohydrate, and sodium, hypertension, diabetes, CVD, chronic pulmonary disease, and liver disease, RAAS blockers, diuretics, statins, eGFR, UACR, LDL, TG, and hs-CRP</td>
</tr>
<tr>
<td align="left" valign="top">Kubo (2023)</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">CIRCS, PC</td>
<td align="left" valign="top">Size: 3277<break/>Age: 58.8&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">8.1&#x2009;years</td>
<td align="left" valign="top">BDHQ, HR (95% CI)<break/>Total protein: 0.72 (0.52&#x2013;0.99)<break/>Plant protein: 1.24 (0.89&#x2013;1.75)<break/>Animal protein: 0.77 (0.56&#x2013;1.08)</td>
<td align="left" valign="top">Age, sex, community, BMI, smoking, alcohol, DBP, AHDs, diabetes, TCHO, LLDs, TEI, eGFR</td>
</tr>
<tr>
<td align="left" valign="top">Kwon (2022)</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">KoGES, PC</td>
<td align="left" valign="top">Size: 7339<break/>Age: 51.8&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">13.7&#x2009;years</td>
<td align="left" valign="top">FFQ, HR (95% CI)<break/>Total protein: 0.63 (0.44&#x2013;0.89)<break/>Plant protein: 0.72 (0.54&#x2013;0.95)<break/>Animal protein: 0.74 (0.55&#x2013;1.00)</td>
<td align="left" valign="top">Age, sex, obesity, PA, smoking, alcohol, protein intake per total energy intake, and phosphorus intake, SBP, FBS, LDL, and CRP</td>
</tr>
<tr>
<td align="left" valign="top">Teymoori (2022)</td>
<td align="left" valign="top">Iran</td>
<td align="left" valign="top">TLGS study, PC</td>
<td align="left" valign="top">Size: 6044<break/>Age: 37.9&#x2009;years<break/>Sex: male, female</td>
<td align="left" valign="top">7.7&#x2009;years</td>
<td align="left" valign="top">FFQ, HR (95% CI)<break/>Total protein: 0.91 (0.78&#x2013;1.05)</td>
<td align="left" valign="top">Age, sex, BMI, smoking, PA, education, TEI, baseline GFR, SBP, FBS, TC and sodium</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>PC, prospective cohort; FFQ, food frequency questionnaire; BDHQ, brief-type self-administered diet history questionnaire; OR, odds ratio; HR, hazard ratio; CI, confidence interval; BMI, body mass index; TEI, total energy intake; PA, physical activity; FBS, fasting blood sugar; SBP, systolic pressure; TCI, total carbohydrate intake; HDL, high-density lipoprotein; LDL, low-density lipoprotein; TG, triglycerides; TCHO, total cholesterol; LLDs, lipid-lowering drugs; AHDs, anti-hypertension drugs; WHR, waist-to-hip ratio; CVD, cardiovascular disease; RAAS, renin-angiotensin-aldosterone system; eGFR, estimated glomerular filtration rate; UACR, urinary albumin-creatinine ratio; hs-CRP, high-sensitivity C-reactive protein.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Risk of bias assessment of included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Study</th>
<th align="center" valign="middle">Selection (up to 4 stars)</th>
<th align="center" valign="middle">Comparability (up to 2 stars)</th>
<th align="center" valign="middle">Outcome (up to 3 stars)</th>
<th align="center" valign="middle">Overall bias</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Alvirdizadeh 2020</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
<tr>
<td align="left" valign="top">Haring 2018</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
<tr>
<td align="left" valign="top">Heo 2023</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
<tr>
<td align="left" valign="top">Kubo 2023</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
<tr>
<td align="left" valign="top">Kwon 2022</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
<tr>
<td align="left" valign="top">Teymoori 2022</td>
<td align="center" valign="top">&#x002A;&#x002A;&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">&#x002A;&#x002A;</td>
<td align="center" valign="top">Low</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Overall risk of bias: Low (7&#x2013;9 stars); Medium (4&#x2013;6 stars); High (&#x003C;4 stars).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<title>Dietary protein intake and CKD risk</title>
<p>The inverse associations between higher level of protein intake and risk of CKD were all observed in dietary total protein (RR&#x2009;=&#x2009;0.82, 95% CI&#x2009;=&#x2009;0.71&#x2013;0.94, <xref ref-type="fig" rid="fig2">Figure 2</xref>) (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12 ref13">9&#x2013;13</xref>), plant protein (RR&#x2009;=&#x2009;0.77, 95% CI&#x2009;=&#x2009;0.61&#x2013;0.97, <xref ref-type="fig" rid="fig3">Figure 3</xref>) (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12">9&#x2013;12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>) and animal protein intake (RR&#x2009;=&#x2009;0.86, 95% CI&#x2009;=&#x2009;0.76&#x2013;0.97, <xref ref-type="fig" rid="fig4">Figure 4</xref>) (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12">9&#x2013;12</xref>), with a random-effect model. For animal protein, the pooled data of fish and seafood was (RR&#x2009;=&#x2009;0.84, 95% CI&#x2009;=&#x2009;0.74&#x2013;0.94) (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). There was low heterogeneity among the studies for total protein (I<sup>2</sup> =&#x2009;38%, P-heterogeneity&#x2009;=&#x2009;0.17) and animal protein (I<sup>2</sup> =&#x2009;0%, P-heterogeneity&#x2009;=&#x2009;0.59), while plant protein had a significantly high heterogeneity (I<sup>2</sup> =&#x2009;77%, P-heterogeneity&#x2009;=&#x2009;0.001).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Total protein and risk of CKD.</p>
</caption>
<graphic xlink:href="fnut-11-1408424-g002.tif"/>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Plant protein and risk of CKD.</p>
</caption>
<graphic xlink:href="fnut-11-1408424-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Animal protein and risk of CKD.</p>
</caption>
<graphic xlink:href="fnut-11-1408424-g004.tif"/>
</fig>
</sec>
<sec id="sec14">
<title>Subgroup analysis</title>
<p>Due to a significantly high heterogeneity of plant protein, we performed the subgroup analysis to explore the sources of heterogeneity. The results showed that the correlations among plant protein intake and CKD incidence were statistically significant without significant heterogeneity among studies that derived from Western countries (RR&#x2009;=&#x2009;0.80, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.89; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.51), had a sample size &#x2265;7,000 (RR&#x2009;=&#x2009;0.79, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.87; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.63), had a follow-up time&#x2009;&#x2265;&#x2009;10&#x2009;years (RR&#x2009;=&#x2009;0.75, 95% CI&#x2009;=&#x2009;0.65&#x2013;0.87; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.73), adjusted for race (RR&#x2009;=&#x2009;0.80, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.89; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.51), adjusted for carbohydrate (RR&#x2009;=&#x2009;0.80, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.89; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.51), adjusted for LDL cholesterol (RR&#x2009;=&#x2009;0.79, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.87; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.63) and adjusted for TG (RR&#x2009;=&#x2009;0.80, 95% CI&#x2009;=&#x2009;0.72&#x2013;0.89; I<sup>2</sup> =&#x2009;0%, <italic>p</italic>&#x2009;=&#x2009;0.51), which indicated that these factors may be the sources of high heterogeneity for plant protein (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Subgroup analysis of plant protein intake.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroups</th>
<th align="center" valign="top">Number of studies</th>
<th align="center" valign="top">RR [95% CI]</th>
<th align="center" valign="top">
<italic>I</italic>
<sup>2</sup>
</th>
<th align="center" valign="top"><italic>p</italic>-value for <italic>I</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">5</td>
<td align="center" valign="top">0.77 [0.61&#x2013;0.97]</td>
<td align="center" valign="top">77%</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Geographic region</td>
</tr>
<tr>
<td align="left" valign="top">Western countries</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.80 [0.72&#x2013;0.89]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.51</td>
</tr>
<tr>
<td align="left" valign="top">Asian countries</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.67 [0.34&#x2013;1.29]</td>
<td align="center" valign="top">88%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Sample size</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;7,000</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.60 [0.14&#x2013;2.63]</td>
<td align="center" valign="top">94%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;7,000</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.79 [0.72&#x2013;0.87]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.63</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Age</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;55</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.61 [0.42&#x2013;0.89]</td>
<td align="center" valign="top">77%</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;55</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.98 [0.65&#x2013;1.47]</td>
<td align="center" valign="top">81%</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Follow up time</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;10&#x2009;years</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.72 [0.42&#x2013;1.24]</td>
<td align="center" valign="top">88%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;10&#x2009;years</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.75 [0.65&#x2013;0.87]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.73</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Assessed by FFQ</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.61 [0.42&#x2013;0.89]</td>
<td align="center" valign="top">77%</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.98 [0.65&#x2013;1.47]</td>
<td align="center" valign="top">81%</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for race</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.80 [0.72&#x2013;0.89]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.51</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.67 [0.34&#x2013;1.29]</td>
<td align="center" valign="top">88%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for carbohydrate</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.80 [0.72&#x2013;0.89]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.51</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.67 [0.34&#x2013;1.29]</td>
<td align="center" valign="top">88%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for LDL</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.79 [0.72&#x2013;0.87]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.63</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.60 [0.14&#x2013;2.63]</td>
<td align="center" valign="top">94%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for TG</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.80 [0.72&#x2013;0.89]</td>
<td align="center" valign="top">0%</td>
<td align="center" valign="top">0.51</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.67 [0.34&#x2013;1.29]</td>
<td align="center" valign="top">88%</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for SBP</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.61 [0.42&#x2013;0.89]</td>
<td align="center" valign="top">77%</td>
<td align="center" valign="top">0.01</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.98 [0.65&#x2013;1.47]</td>
<td align="center" valign="top">81%</td>
<td align="center" valign="top">0.02</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Adjusted for FBS</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2</td>
<td align="center" valign="top">0.47 [0.18&#x2013;1.19]</td>
<td align="center" valign="top">86%</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">0.87 [0.71&#x2013;1.06]</td>
<td align="center" valign="top">69%</td>
<td align="center" valign="top">0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>RR, risk ratio; CI, confidence interval; FFQ, food frequency questionnaire; LDL, low-density lipoprotein cholesterol; TG, triglycerides; SBP, systolic blood pressure; FBS, fasting blood sugar.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Sensitivity analysis</title>
<p>Sensitivity analysis showed that the results were stable for total and animal protein by deleting a single study at a time. However, for plant protein, CKD incidence became non-statistically significant by omitting Haring et al.&#x2019;s (<xref ref-type="bibr" rid="ref12">12</xref>), Heo et al.&#x2019;s (<xref ref-type="bibr" rid="ref14">14</xref>) or Kwon et al.&#x2019;s (<xref ref-type="bibr" rid="ref10">10</xref>) study. However, the weights of these three studies were the highest of all, which indicated the importance to the pooled results. In addition, I<sup>2</sup> of the heterogeneity decreased from 77% (<italic>p</italic>&#x2009;=&#x2009;0.001) to 59% (<italic>p</italic>&#x2009;=&#x2009;0.06) by removing Alvirdizadeh et al.&#x2019;s study with a risk estimates of OR.</p>
</sec>
<sec id="sec16">
<title>Dose&#x2013;response meta-analysis</title>
<p>Due to the lack of enough data for total protein and animal protein, we only conducted the dose&#x2013;response meta-analysis for plant protein (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). The dose response meta-analysis revealed a non-linear relation between plant protein intake and CKD incidence (<italic>p</italic> &#x003C;&#x2009;0.001). The intake of 15&#x2009;g/d, 30&#x2009;g/d, and 45&#x2009;g/d for plant protein were associated with reductions in CKD risk of 28% (RR&#x2009;=&#x2009;0.72, 95% CI&#x2009;=&#x2009;0.50&#x2013;1.02), 43% (RR&#x2009;=&#x2009;0.57, 95% CI&#x2009;=&#x2009;0.39&#x2013;0.84), and 45% (RR&#x2009;=&#x2009;0.55, 95% CI&#x2009;=&#x2009;0.36&#x2013;0.84), respectively (<xref ref-type="fig" rid="fig5">Figure 5</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Dose response analysis quantifying the association between plant protein intake and CKD. Analysis includes all studies reporting on three or more physical activity categories.</p>
</caption>
<graphic xlink:href="fnut-11-1408424-g005.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>Our data showed that a higher-level intake of total, plant and animal protein can lower a risk of CKD by 18, 23 and 14%, respectively. Specifically, a high-level of fish and seafood with animal protein can lower a 16% risk of CKD. A significant non-linear correlation was found among plant protein intake and incident CKD by dose&#x2013;response analysis. All studies were prospective cohort studies with a low overall risk of bias.</p>
<p>Current studies&#x2019; conclusions remain controversial in terms of the correlation between total protein intake and CKD risk. Other than these studies included in this meta-analysis, a cross-sectional study reported that there was no significant association between total protein intake and incident CKD, involving 5,316 participants aged 27&#x2009;years or older without diabetes (<xref ref-type="bibr" rid="ref20">20</xref>). In another cross-sectional study conducted in Japan, high-level total protein intake associated with reduced CKD risk was found in women but not in men, and a beneficial relationship was observed between total protein intake and eGFR in both men and women (<xref ref-type="bibr" rid="ref21">21</xref>). However, due to the cross-sectional nature, these two studies cannot be pooled in the present meta-analysis. Moreover, a randomized clinical trial revealed that increased total protein intake from 91.4 to 107.8&#x2009;g/day can increase the level of eGFR and the volume of kidney among healthy overweight or obese men and women (<xref ref-type="bibr" rid="ref22">22</xref>). Indeed, evidence suggested that the beneficial effect of total protein intake in persons without kidney insufficiency could be attributed to protein-induced hyperfiltration, wherein the kidneys adapt to an increased BUN and Scr (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<p>Studies have focused on the preventive effect of various dietary patterns on chronic conditions. &#x201C;Healthy foods&#x201D; like vegetables and fruits are typically recommended, whereas there have been concerns raised regarding red and processed meat (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>). An ARIC Study involving 11,952 adults with an eGFR of &#x2265;60&#x2009;mL/min/1.73&#x2009;m<sup>2</sup> found that higher consumption of red meat and processed meat can significantly increase the incidence of CKD G3. Conversely, foods rich in vegetable protein can significantly reduce the occurrence of CKD (<xref ref-type="bibr" rid="ref12">12</xref>). Another study conducted in Iran, which included 4,881 participants, found that substituting red or processed meat with foods rich in vegetable protein correlated with a reduced incidence of CKD (<xref ref-type="bibr" rid="ref27">27</xref>). Further studies also demonstrated that higher plant protein intake was associated with a lower risk of subsequent CKD (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Similarly, a study involving 7,339 middle-aged and older Korean adults also confirmed that (<xref ref-type="bibr" rid="ref10">10</xref>). Notably, a recent prospective study with a 9.9-median year follow-up of a large sample size of 117,809 participants from UK biobank revealed that greater dietary plant protein intake was associated with a lower risk of incident CKD (<xref ref-type="bibr" rid="ref14">14</xref>). However, we found only one study reported no significant correlation between vegetable protein intake and CKD incidence (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>There is compelling evidence supporting the benefit for plant proteins in promoting kidney health. More pronounced inflammation will be induced by a high-level animal protein intake rather than vegetable protein intake. For instance, the inflammatory macrophage responding and a series of cytokines releasing were observed in a colitis mice model fed with a diet rich in animal proteins rather than plant proteins (<xref ref-type="bibr" rid="ref28">28</xref>). Moreover, consuming animal proteins significantly burdens the kidneys (<xref ref-type="bibr" rid="ref29">29</xref>). Diets high in vegetables and low in animal protein exhibit higher proportions of glutamic acid, cystine, proline, phenylalanine, and serine compared to diets low in vegetables and high in animal protein (<xref ref-type="bibr" rid="ref30">30</xref>). These differences in amino acid content likely led to distinct nitrogen loads and acidogenicity levels (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). It&#x2019;s worth noting that plant-based foods are also notably rich in dietary fiber, which plays a crucial role in altering gut microbiota composition, lowering circulating cholesterol levels, mitigating inflammation (<xref ref-type="bibr" rid="ref33 ref34 ref35 ref36">33&#x2013;36</xref>), and reducing the occurrence of CKD (<xref ref-type="bibr" rid="ref37">37</xref>). Taken together, the mounting evidence substantiated a clear association among a high-level vegetable protein and diminished incident CKD.</p>
<p>Interestingly, our meta-analysis also suggested a beneficial correlation among a high-level animal protein intake and incident CKD. Caution must be exercised when interpreting this finding. Previous studies revealed that high-level of red meat and processed meat intake significantly increased the incidence of CKD (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). In the contrary, fish and seafood were reported an inverse correlation with CKD incidence (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref27">27</xref>). Two studies included in animal protein analysis derived from Japan and Korea in which fish and seafood were main consumption of animal protein (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>), this may explain the inverse relation among high animal protein intake and lower risk of CKD in this meta-analysis. Mechanistically, the protective effect of fish and seafood may be attributed to an anti-inflammatory effect of long-chain n-3 polyunsaturated fatty acids from seafood (<xref ref-type="bibr" rid="ref41">41</xref>). However, after removal of these two studies, the beneficial effect of high-level animal protein intake was not statistically significant.</p>
<p>We found no significant heterogeneity among studies within total protein and animal protein intake, but these studies focused on plant protein presented a significant high heterogeneity. Subgroup analysis showed that the heterogeneity was non-statistically significant among studies that derived from Western countries, had a sample size &#x2265;7,000, had a follow-up time&#x2009;&#x2265;&#x2009;10&#x2009;years, adjusted for race, adjusted for carbohydrate, adjusted for LDL cholesterol and adjusted for TG, which suggested the potential sources of heterogeneity. Sensitivity analysis showed that Alvirdizadeh et al.&#x2019;s study (<xref ref-type="bibr" rid="ref11">11</xref>) may be part of the sources of heterogeneity in plant protein. This study reported a risk estimate of OR, while others reported HRs that considered time factor.</p>
<p>Our meta-analysis has several strengths. One is that it was the first meta-analysis paying attention to the effect of high-level protein intake on CKD incidence. In addition, subgroup analysis can identify potential sources of heterogeneity. Importantly, the included studies were all prospective cohort studies with a low overall risk of bias, which provided a methodologic rigor to allow these results to be interpreted with high confidence.</p>
<p>However, there are some limitations to our meta-analysis. Firstly, the number studies on this topic was still small. Secondly, a significant high heterogeneity was observed in studies within plant protein intake. Thirdly, the definitions of CKD were inconsistent. Four studies adopted eGFR&#x003C;60&#x2009;mL/min/1.73&#x2009;m<sup>2</sup> as the diagnostic criteria (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>, <xref ref-type="bibr" rid="ref13">13</xref>), while one study used records (<xref ref-type="bibr" rid="ref14">14</xref>) and another study considered CKD stage 3 as the outcome (<xref ref-type="bibr" rid="ref12">12</xref>). Lastly, the measurement indexes of protein intake were not standardized. Two studies used %energy of protein intake as the indicator (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref13">13</xref>), while four studies used absolute intake as the indicator (<xref ref-type="bibr" rid="ref10 ref11 ref12">10&#x2013;12</xref>, <xref ref-type="bibr" rid="ref14">14</xref>). In addition, the criteria of categories were also inconsistent, although a dose&#x2013;response meta-analysis was performed to determine the relation of the detailed intake and CKD risk, the data was still limited. These factors may cause bias to the results. Future studies should standardize the criteria of CKD diagnosis, measurement indicator and categorizing protein intake. Additionally, studies should also focus on the precise sources, detailed intake and duration of dietary protein relevant for potential decreased risk of CKD. In addition, studies should be focused more on subgroup population as well as the population with different disease such as obesity, hypertension and diabetes.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>This study showed that a high-level intake of dietary total protein, plant protein and animal protein intake (especially for fish and seafood) can significantly reduce 18, 23 and 14% CKD risk. Future studies should focus on the specific sources, detailed intake and duration of dietary protein relevant for potential decreased risk of CKD.</p>
</sec>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec20">
<title>Author contributions</title>
<p>YC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GuZ: Data curation, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. ZS: Formal analysis, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. GaZ: Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XR: Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. TZ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec23">
<title>Publisher&#x2019;s note</title>
<p>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.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname> <given-names>Y</given-names></name> <name><surname>Bowe</surname> <given-names>B</given-names></name> <name><surname>Mokdad</surname> <given-names>AH</given-names></name> <name><surname>Xian</surname> <given-names>H</given-names></name> <name><surname>Yan</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Analysis of the global burden of disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016</article-title>. <source>Kidney Int</source>. (<year>2018</year>) <volume>94</volume>:<fpage>567</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.kint.2018.04.011</pub-id>, PMID: <pub-id pub-id-type="pmid">30078514</pub-id></citation>
</ref>
<ref id="ref2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Go</surname> <given-names>AS</given-names></name> <name><surname>Chertow</surname> <given-names>GM</given-names></name> <name><surname>Fan</surname> <given-names>D</given-names></name> <name><surname>McCulloch</surname> <given-names>CE</given-names></name> <name><surname>Hsu</surname> <given-names>CY</given-names></name></person-group>. <article-title>Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization</article-title>. <source>N Engl J Med</source>. (<year>2004</year>) <volume>351</volume>:<fpage>1296</fpage>&#x2013;<lpage>305</lpage>. doi: <pub-id pub-id-type="doi">10.1056/NEJMoa041031</pub-id></citation>
</ref>
<ref id="ref3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Campbell</surname> <given-names>KL</given-names></name> <name><surname>Ash</surname> <given-names>S</given-names></name> <name><surname>Bauer</surname> <given-names>JD</given-names></name></person-group>. <article-title>The impact of nutrition intervention on quality of life in pre-dialysis chronic kidney disease patients</article-title>. <source>Clin Nutr</source>. (<year>2008</year>) <volume>27</volume>:<fpage>537</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.clnu.2008.05.002</pub-id></citation>
</ref>
<ref id="ref4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jhee</surname> <given-names>JH</given-names></name> <name><surname>Kee</surname> <given-names>YK</given-names></name> <name><surname>Park</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>H</given-names></name> <name><surname>Park</surname> <given-names>JT</given-names></name> <name><surname>Han</surname> <given-names>SH</given-names></name> <etal/></person-group>. <article-title>High-protein diet with renal hyperfiltration is associated with rapid decline rate of renal function: a community-based prospective cohort study</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2020</year>) <volume>35</volume>:<fpage>98</fpage>&#x2013;<lpage>106</lpage>. doi: <pub-id pub-id-type="doi">10.1093/ndt/gfz115</pub-id></citation>
</ref>
<ref id="ref5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>S&#x00E4;llstr&#x00F6;m</surname> <given-names>J</given-names></name> <name><surname>Carlstr&#x00F6;m</surname> <given-names>M</given-names></name> <name><surname>Olerud</surname> <given-names>J</given-names></name> <name><surname>Fredholm</surname> <given-names>BB</given-names></name> <name><surname>Kouzmine</surname> <given-names>M</given-names></name> <name><surname>Sandler</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>High-protein-induced glomerular hyperfiltration is independent of the tubuloglomerular feedback mechanism and nitric oxide synthases</article-title>. <source>Am J Physiol Regul Integr Comp Physiol</source>. (<year>2010</year>) <volume>299</volume>:<fpage>R1263</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajpregu.00649.2009</pub-id></citation>
</ref>
<ref id="ref6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><collab id="coll1">Kidney Disease: Improving Global Outcomes (KDIGO) Diabetes Work Group</collab></person-group>. <article-title>KDIGO 2022 clinical practice guideline for diabetes Management in Chronic Kidney Disease</article-title>. <source>Kidney Int</source>. (<year>2022</year>) <volume>102</volume>:<fpage>S1</fpage>&#x2013;<lpage>S127</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.kint.2022.06.008</pub-id></citation>
</ref>
<ref id="ref7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ikizler</surname> <given-names>TA</given-names></name> <name><surname>Burrowes</surname> <given-names>JD</given-names></name> <name><surname>Byham-Gray</surname> <given-names>LD</given-names></name> <name><surname>Campbell</surname> <given-names>KL</given-names></name> <name><surname>Carrero</surname> <given-names>JJ</given-names></name> <name><surname>Chan</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>KDOQI clinical practice guideline for nutrition in CKD: 2020 update</article-title>. <source>Am J Kidney Dis</source>. (<year>2020</year>) <volume>76</volume>:<fpage>S1</fpage>&#x2013;<lpage>S107</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.ajkd.2020.05.006</pub-id></citation>
</ref>
<ref id="ref8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schwingshackl</surname> <given-names>L</given-names></name> <name><surname>Hoffmann</surname> <given-names>G</given-names></name></person-group>. <article-title>Comparison of high vs. normal/low protein diets on renal function in subjects without chronic kidney disease: a systematic review and meta-analysis</article-title>. <source>PLoS One</source>. (<year>2014</year>) <volume>9</volume>:<fpage>e97656</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0097656</pub-id>, PMID: <pub-id pub-id-type="pmid">24852037</pub-id></citation>
</ref>
<ref id="ref9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kubo</surname> <given-names>S</given-names></name> <name><surname>Imano</surname> <given-names>H</given-names></name> <name><surname>Muraki</surname> <given-names>I</given-names></name> <name><surname>Kitamura</surname> <given-names>A</given-names></name> <name><surname>Noda</surname> <given-names>H</given-names></name> <name><surname>Cui</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Total protein intake and subsequent risk of chronic kidney disease: the circulatory risk in communities study</article-title>. <source>Environ Health Prev Med</source>. (<year>2023</year>) <volume>28</volume>:<fpage>32</fpage>. doi: <pub-id pub-id-type="doi">10.1265/ehpm.22-00247</pub-id>, PMID: <pub-id pub-id-type="pmid">37211392</pub-id></citation>
</ref>
<ref id="ref10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwon</surname> <given-names>YJ</given-names></name> <name><surname>Park</surname> <given-names>K</given-names></name> <name><surname>Lee</surname> <given-names>JH</given-names></name></person-group>. <article-title>Low-protein diet is inversely related to the incidence of chronic kidney disease in middle-aged and older adults: results from a community-based prospective cohort study</article-title>. <source>Eur J Nutr</source>. (<year>2022</year>) <volume>61</volume>:<fpage>3795</fpage>&#x2013;<lpage>807</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00394-022-02981-1</pub-id>, PMID: <pub-id pub-id-type="pmid">35947164</pub-id></citation>
</ref>
<ref id="ref11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alvirdizadeh</surname> <given-names>S</given-names></name> <name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Eghtesadi</surname> <given-names>S</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>A prospective study on total protein, plant protein and animal protein in relation to the risk of incident chronic kidney disease</article-title>. <source>BMC Nephrol</source>. (<year>2020</year>) <volume>21</volume>:<fpage>489</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12882-020-02079-y</pub-id>, PMID: <pub-id pub-id-type="pmid">33203389</pub-id></citation>
</ref>
<ref id="ref12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Haring</surname> <given-names>B</given-names></name> <name><surname>Selvin</surname> <given-names>E</given-names></name> <name><surname>Liang</surname> <given-names>M</given-names></name> <name><surname>Coresh</surname> <given-names>J</given-names></name> <name><surname>Grams</surname> <given-names>ME</given-names></name> <name><surname>Petruski-Ivleva</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Dietary protein sources and risk for incident chronic kidney disease: results from the atherosclerosis risk in communities (ARIC) study</article-title>. <source>J Ren Nutr</source>. (<year>2017</year>) <volume>27</volume>:<fpage>233</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.jrn.2016.11.004</pub-id>, PMID: <pub-id pub-id-type="pmid">28065493</pub-id></citation>
</ref>
<ref id="ref13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Teymoori</surname> <given-names>F</given-names></name> <name><surname>Farhadnejad</surname> <given-names>H</given-names></name> <name><surname>Jahromi</surname> <given-names>MK</given-names></name> <name><surname>Vafa</surname> <given-names>M</given-names></name> <name><surname>Ahmadirad</surname> <given-names>H</given-names></name> <name><surname>Mirmiran</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Dietary protein score and carbohydrate quality index with the risk of chronic kidney disease: findings from a prospective cohort study</article-title>. <source>Front Nutr</source>. (<year>2022</year>) <volume>9</volume>:<fpage>1003545</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnut.2022.1003545</pub-id>, PMID: <pub-id pub-id-type="pmid">36532536</pub-id></citation>
</ref>
<ref id="ref14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heo</surname> <given-names>GY</given-names></name> <name><surname>Koh</surname> <given-names>HB</given-names></name> <name><surname>Kim</surname> <given-names>HJ</given-names></name> <name><surname>Kim</surname> <given-names>KW</given-names></name> <name><surname>Jung</surname> <given-names>CY</given-names></name> <name><surname>Kim</surname> <given-names>HW</given-names></name> <etal/></person-group>. <article-title>Association of Plant Protein Intake with Risk of incident CKD: a UK biobank study</article-title>. <source>Am J Kidney Dis</source>. (<year>2023</year>) <volume>82</volume>:<fpage>687</fpage>&#x2013;<lpage>697.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.ajkd.2023.05.007</pub-id></citation>
</ref>
<ref id="ref15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moher</surname> <given-names>D</given-names></name> <name><surname>Liberati</surname> <given-names>A</given-names></name> <name><surname>Tetzlaff</surname> <given-names>J</given-names></name> <name><surname>Altman</surname> <given-names>DG</given-names></name><collab id="coll2">PRISMA Group</collab></person-group>. <article-title>Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement</article-title>. <source>Ann Intern Med</source>. (<year>2009</year>) <volume>151</volume>:<fpage>264</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.7326/0003-4819-151-4-200908180-00135</pub-id></citation>
</ref>
<ref id="ref16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stang</surname> <given-names>A</given-names></name>
</person-group>. <article-title>Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses</article-title>. <source>Eur J Epidemiol</source>. (<year>2010</year>) <volume>25</volume>:<fpage>603</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10654-010-9491-z</pub-id>, PMID: <pub-id pub-id-type="pmid">20652370</pub-id></citation>
</ref>
<ref id="ref17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Higgins</surname> <given-names>JP</given-names></name> <name><surname>Thompson</surname> <given-names>SG</given-names></name></person-group>. <article-title>Quantifying heterogeneity in a meta-analysis</article-title>. <source>Stat Med</source>. (<year>2002</year>) <volume>21</volume>:<fpage>1539</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.1002/sim.1186</pub-id>, PMID: <pub-id pub-id-type="pmid">12111919</pub-id></citation>
</ref>
<ref id="ref18">
<label>18.</label>
<citation citation-type="other"><person-group person-group-type="editor"><name><surname>Higgins</surname> <given-names>JPT</given-names></name> <name><surname>Chandler</surname> <given-names>JTJ</given-names></name> <name><surname>Cumpston</surname> <given-names>M</given-names></name> <name><surname>Li</surname> <given-names>T</given-names></name> <name><surname>Page</surname> <given-names>MJ</given-names></name> <name><surname>Welch</surname> <given-names>VA</given-names></name></person-group> (editors). Cochrane handbook for systematic reviews of interventions version 6.0 (updated July 2019). Cochrane; (<year>2019</year>). Available at: <ext-link xlink:href="http://www.training.cochrane.org/handbook" ext-link-type="uri">www.training.cochrane.org/handbook</ext-link></citation>
</ref>
<ref id="ref19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Egger</surname> <given-names>M</given-names></name> <name><surname>Davey Smith</surname> <given-names>G</given-names></name> <name><surname>Schneider</surname> <given-names>M</given-names></name> <name><surname>Minder</surname> <given-names>C</given-names></name></person-group>. <article-title>Bias in meta-analysis detected by a simple, graphical test</article-title>. <source>BMJ</source>. (<year>1997</year>) <volume>315</volume>:<fpage>629</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.315.7109.629</pub-id></citation>
</ref>
<ref id="ref20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Asghari</surname> <given-names>G</given-names></name> <name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Hosseini</surname> <given-names>FS</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>Associations of dietary macronutrients with glomerular filtration rate and kidney dysfunction: Tehran lipid and glucose study</article-title>. <source>J Nephrol</source>. (<year>2015</year>) <volume>28</volume>:<fpage>173</fpage>&#x2013;<lpage>80</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40620-014-0095-7</pub-id></citation>
</ref>
<ref id="ref21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Higashiyama</surname> <given-names>A</given-names></name> <name><surname>Watanabe</surname> <given-names>M</given-names></name> <name><surname>Kokubo</surname> <given-names>Y</given-names></name> <name><surname>Ono</surname> <given-names>Y</given-names></name> <name><surname>Okayama</surname> <given-names>A</given-names></name> <name><surname>Okamura</surname> <given-names>T</given-names></name></person-group>. <article-title>NIPPON DATA80/90 research group. Relationships between protein intake and renal function in a Japanese general population: NIPPON DATA90</article-title>. <source>J Epidemiol</source>. (<year>2010</year>) <volume>20</volume>:<fpage>S537</fpage>&#x2013;<lpage>43</lpage>. doi: <pub-id pub-id-type="doi">10.2188/jea.je20090222</pub-id></citation>
</ref>
<ref id="ref22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Skov</surname> <given-names>AR</given-names></name> <name><surname>Toubro</surname> <given-names>S</given-names></name> <name><surname>B&#x00FC;low</surname> <given-names>J</given-names></name> <name><surname>Krabbe</surname> <given-names>K</given-names></name> <name><surname>Parving</surname> <given-names>HH</given-names></name> <name><surname>Astrup</surname> <given-names>A</given-names></name></person-group>. <article-title>Changes in renal function during weight loss induced by high vs low-protein low-fat diets in overweight subjects</article-title>. <source>Int J Obes Relat Metab Disord</source>. (<year>1999</year>) <volume>23</volume>:<fpage>1170</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1038/sj.ijo.0801048</pub-id>, PMID: <pub-id pub-id-type="pmid">10578207</pub-id></citation>
</ref>
<ref id="ref23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Friedman</surname> <given-names>AN</given-names></name>
</person-group>. <article-title>High-protein diets: potential effects on the kidney in renal health and disease</article-title>. <source>Am J Kidney Dis</source>. (<year>2004</year>) <volume>44</volume>:<fpage>950</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.ajkd.2004.08.020</pub-id></citation>
</ref>
<ref id="ref24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhong</surname> <given-names>VW</given-names></name> <name><surname>Van Horn</surname> <given-names>L</given-names></name> <name><surname>Greenland</surname> <given-names>P</given-names></name> <name><surname>Carnethon</surname> <given-names>MR</given-names></name> <name><surname>Ning</surname> <given-names>H</given-names></name> <name><surname>Wilkins</surname> <given-names>JT</given-names></name> <etal/></person-group>. <article-title>Associations of processed meat, unprocessed red meat, poultry, or fish intake with incident cardiovascular disease and all-cause mortality</article-title>. <source>JAMA Intern Med</source>. (<year>2020</year>) <volume>180</volume>:<fpage>503</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1001/jamainternmed.2019.6969</pub-id>, PMID: <pub-id pub-id-type="pmid">32011623</pub-id></citation>
</ref>
<ref id="ref25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Al-Shaar</surname> <given-names>L</given-names></name> <name><surname>Satija</surname> <given-names>A</given-names></name> <name><surname>Wang</surname> <given-names>DD</given-names></name> <name><surname>Rimm</surname> <given-names>EB</given-names></name> <name><surname>Smith-Warner</surname> <given-names>SA</given-names></name> <name><surname>Stampfer</surname> <given-names>MJ</given-names></name> <etal/></person-group>. <article-title>Red meat intake and risk of coronary heart disease among US men: prospective cohort study</article-title>. <source>BMJ</source>. (<year>2020</year>) <volume>371</volume>:<fpage>m4141</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmj.m4141</pub-id></citation>
</ref>
<ref id="ref26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lajous</surname> <given-names>M</given-names></name> <name><surname>Bijon</surname> <given-names>A</given-names></name> <name><surname>Fagherazzi</surname> <given-names>G</given-names></name> <name><surname>Rossignol</surname> <given-names>E</given-names></name> <name><surname>Boutron-Ruault</surname> <given-names>MC</given-names></name> <name><surname>Clavel-Chapelon</surname> <given-names>F</given-names></name></person-group>. <article-title>Processed and unprocessed red meat consumption and hypertension in women</article-title>. <source>Am J Clin Nutr</source>. (<year>2014</year>) <volume>100</volume>:<fpage>948</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.3945/ajcn.113.080598</pub-id>, PMID: <pub-id pub-id-type="pmid">25080454</pub-id></citation>
</ref>
<ref id="ref27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Aghayan</surname> <given-names>M</given-names></name> <name><surname>Mahdavi</surname> <given-names>M</given-names></name> <name><surname>Asghari</surname> <given-names>G</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>A prospective study of dietary meat intake and risk of incident chronic kidney disease</article-title>. <source>J Ren Nutr</source>. (<year>2020</year>) <volume>30</volume>:<fpage>111</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.jrn.2019.06.008</pub-id>, PMID: <pub-id pub-id-type="pmid">31422013</pub-id></citation>
</ref>
<ref id="ref28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kostovcikova</surname> <given-names>K</given-names></name> <name><surname>Coufal</surname> <given-names>S</given-names></name> <name><surname>Galanova</surname> <given-names>N</given-names></name> <name><surname>Fajstova</surname> <given-names>A</given-names></name> <name><surname>Hudcovic</surname> <given-names>T</given-names></name> <name><surname>Kostovcik</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Diet rich in animal protein promotes pro-inflammatory macrophage response and exacerbates colitis in mice</article-title>. <source>Front Immunol</source>. (<year>2019</year>) <volume>10</volume>:<fpage>919</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fimmu.2019.00919</pub-id>, PMID: <pub-id pub-id-type="pmid">31105710</pub-id></citation>
</ref>
<ref id="ref29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kontessis</surname> <given-names>P</given-names></name> <name><surname>Jones</surname> <given-names>S</given-names></name> <name><surname>Dodds</surname> <given-names>R</given-names></name> <name><surname>Trevisan</surname> <given-names>R</given-names></name> <name><surname>Nosadini</surname> <given-names>R</given-names></name> <name><surname>Fioretto</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Renal, metabolic and hormonal responses to ingestion of animal and vegetable proteins</article-title>. <source>Kidney Int</source>. (<year>1990</year>) <volume>38</volume>:<fpage>136</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ki.1990.178</pub-id>, PMID: <pub-id pub-id-type="pmid">2166857</pub-id></citation>
</ref>
<ref id="ref30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>YF</given-names></name> <name><surname>Yancy</surname> <given-names>WS</given-names> <suffix>Jr</suffix></name> <name><surname>Yu</surname> <given-names>D</given-names></name> <name><surname>Champagne</surname> <given-names>C</given-names></name> <name><surname>Appel</surname> <given-names>LJ</given-names></name> <name><surname>Lin</surname> <given-names>PH</given-names></name></person-group>. <article-title>The relationship between dietary protein intake and blood pressure: results from the PREMIER study</article-title>. <source>J Hum Hypertens</source>. (<year>2008</year>) <volume>22</volume>:<fpage>745</fpage>&#x2013;<lpage>54</lpage>. doi: <pub-id pub-id-type="doi">10.1038/jhh.2008.64</pub-id></citation>
</ref>
<ref id="ref31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Watanabe</surname> <given-names>MT</given-names></name> <name><surname>Barretti</surname> <given-names>P</given-names></name> <name><surname>Caramori</surname> <given-names>JCT</given-names></name></person-group>. <article-title>Dietary intervention in Phosphatemia control-nutritional traffic light labeling</article-title>. <source>J Ren Nutr</source>. (<year>2018</year>) <volume>28</volume>:<fpage>e45</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.jrn.2018.04.005</pub-id></citation>
</ref>
<ref id="ref32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rodrigues Neto Ang&#x00E9;loco</surname> <given-names>L</given-names></name> <name><surname>Arces de Souza</surname> <given-names>GC</given-names></name> <name><surname>Almeida Rom&#x00E3;o</surname> <given-names>E</given-names></name> <name><surname>Garcia</surname> <given-names>CP</given-names></name></person-group>. <article-title>Alkaline diet and metabolic acidosis: practical approaches to the nutritional Management of Chronic Kidney Disease</article-title>. <source>J Ren Nutr</source>. (<year>2018</year>) <volume>28</volume>:<fpage>215</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.jrn.2017.10.006</pub-id>, PMID: <pub-id pub-id-type="pmid">29221627</pub-id></citation>
</ref>
<ref id="ref33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakajima</surname> <given-names>A</given-names></name> <name><surname>Sasaki</surname> <given-names>T</given-names></name> <name><surname>Itoh</surname> <given-names>K</given-names></name> <name><surname>Kitahara</surname> <given-names>T</given-names></name> <name><surname>Takema</surname> <given-names>Y</given-names></name> <name><surname>Hiramatsu</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>A soluble fiber diet increases <italic>Bacteroides fragilis</italic> group abundance and immunoglobulin a production in the gut</article-title>. <source>Appl Environ Microbiol</source>. (<year>2020</year>) <volume>86</volume>:<fpage>e00405</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1128/AEM.00405-20</pub-id></citation>
</ref>
<ref id="ref34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rezende</surname> <given-names>ESV</given-names></name> <name><surname>Lima</surname> <given-names>GC</given-names></name> <name><surname>Naves</surname> <given-names>MMV</given-names></name></person-group>. <article-title>Dietary fibers as beneficial microbiota modulators: a proposed classification by prebiotic categories</article-title>. <source>Nutrition</source>. (<year>2021</year>) <volume>89</volume>:<fpage>111217</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nut.2021.111217</pub-id>, PMID: <pub-id pub-id-type="pmid">33838493</pub-id></citation>
</ref>
<ref id="ref35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vaziri</surname> <given-names>ND</given-names></name> <name><surname>Wong</surname> <given-names>J</given-names></name> <name><surname>Pahl</surname> <given-names>M</given-names></name> <name><surname>Piceno</surname> <given-names>YM</given-names></name> <name><surname>Yuan</surname> <given-names>J</given-names></name> <name><surname>DeSantis</surname> <given-names>TZ</given-names></name> <etal/></person-group>. <article-title>Chronic kidney disease alters intestinal microbial flora</article-title>. <source>Kidney Int</source>. (<year>2013</year>) <volume>83</volume>:<fpage>308</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ki.2012.345</pub-id></citation>
</ref>
<ref id="ref36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>H</given-names></name> <name><surname>Nam</surname> <given-names>BY</given-names></name> <name><surname>Park</surname> <given-names>J</given-names></name> <name><surname>Song</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>WK</given-names></name> <name><surname>Lee</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title><italic>Lactobacillus acidophilus</italic> KBL409 reduces kidney fibrosis via immune modulatory effects in mice with chronic kidney disease</article-title>. <source>Mol Nutr Food Res</source>. (<year>2022</year>) <volume>66</volume>:<fpage>e2101105</fpage>. doi: <pub-id pub-id-type="doi">10.1002/mnfr.202101105</pub-id>, PMID: <pub-id pub-id-type="pmid">36059191</pub-id></citation>
</ref>
<ref id="ref37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mirmiran</surname> <given-names>P</given-names></name> <name><surname>Yuzbashian</surname> <given-names>E</given-names></name> <name><surname>Asghari</surname> <given-names>G</given-names></name> <name><surname>Sarverzadeh</surname> <given-names>S</given-names></name> <name><surname>Azizi</surname> <given-names>F</given-names></name></person-group>. <article-title>Dietary fibre intake in relation to the risk of incident chronic kidney disease</article-title>. <source>Br J Nutr</source>. (<year>2018</year>) <volume>119</volume>:<fpage>479</fpage>&#x2013;<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0007114517003671</pub-id></citation>
</ref>
<ref id="ref38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Du</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>H</given-names></name> <name><surname>Crews</surname> <given-names>DC</given-names></name> <name><surname>White</surname> <given-names>K</given-names></name> <name><surname>Rebholz</surname> <given-names>CM</given-names></name></person-group>. <article-title>Association between ultraprocessed food consumption and risk of incident CKD: a prospective cohort study</article-title>. <source>Am J Kidney Dis</source>. (<year>2022</year>) <volume>80</volume>:<fpage>589</fpage>&#x2013;<lpage>598.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1053/j.ajkd.2022.03.016</pub-id>, PMID: <pub-id pub-id-type="pmid">35679994</pub-id></citation>
</ref>
<ref id="ref39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>KW</given-names></name> <name><surname>Shin</surname> <given-names>D</given-names></name></person-group>. <article-title>Trends in intake and sources of dietary protein in Korean adults, 1998-2018</article-title>. <source>Br J Nutr</source>. (<year>2022</year>) <volume>128</volume>:<fpage>1595</fpage>&#x2013;<lpage>606</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0007114521004438</pub-id>, PMID: <pub-id pub-id-type="pmid">34763739</pub-id></citation>
</ref>
<ref id="ref40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yamori</surname> <given-names>Y</given-names></name> <name><surname>Sagara</surname> <given-names>M</given-names></name> <name><surname>Arai</surname> <given-names>Y</given-names></name> <name><surname>Kobayashi</surname> <given-names>H</given-names></name> <name><surname>Kishimoto</surname> <given-names>K</given-names></name> <name><surname>Matsuno</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Soy and fish as features of the Japanese diet and cardiovascular disease risks</article-title>. <source>PLoS One</source>. (<year>2017</year>) <volume>12</volume>:<fpage>e0176039</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0176039</pub-id>, PMID: <pub-id pub-id-type="pmid">28430815</pub-id></citation>
</ref>
<ref id="ref41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gopinath</surname> <given-names>B</given-names></name> <name><surname>Harris</surname> <given-names>DC</given-names></name> <name><surname>Flood</surname> <given-names>VM</given-names></name> <name><surname>Burlutsky</surname> <given-names>G</given-names></name> <name><surname>Mitchell</surname> <given-names>P</given-names></name></person-group>. <article-title>Consumption of long-chain n-3 PUFA, &#x03B1;-linolenic acid and fish is associated with the prevalence of chronic kidney disease</article-title>. <source>Br J Nutr</source>. (<year>2011</year>) <volume>105</volume>:<fpage>1361</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0007114510005040</pub-id></citation>
</ref>
</ref-list>
</back>
</article>