Literature DB >> 33725961

Digestive system symptoms and function in children with COVID-19: A meta-analysis.

Jiajia Wang1, Xiaofeng Yuan2.   

Abstract

ABSTRACT: The prevalence of children exhibiting coronavirus disease 2019 (COVID-19) with digestive system involvement remains unknown. Therefore, we aimed to quantify the impact of COVID-19 on the digestive system of children.In this meta-analysis, we searched PubMed, Embase, and Web of Science from January 1, 2020, to June 31, 2020. We also searched for COVID-19 publications in specific journals for more comprehensive results. We included studies that reported the epidemiological and clinical characteristics of COVID-19, and we excluded duplicate publications, reviews, animal studies, case reports, publications without the full text, studies with incomplete information, and studies from which data extraction was impossible.We conducted a meta-analysis of the incidence of gastrointestinal symptoms and changes in liver function involving 19 studies. The pooled prevalence of diarrhea was 10% (95% CI: 7-14; I2  = 84%), that of nausea or vomiting was 7% (95% CI: 5-11; I2  = 77%), and that of abdominal pain was 4% (95% CI: 2-9; I2  = 79%). In addition, the pooled incidence of increased alanine aminotransferase was 8% (95% CI: 5-15; I2  = 46%), and the pooled incidence of increased AST was 15% (95% CI: 9-26; I2  = 66%). The pooled rate of recovery was 97% (95% CI: 94-100; I2  = 86%), and the pooled rate of death, which was 1% (95% CI: 1-4; I2  = 48%), was much smaller than the recovery rate.Our research shows that digestive system symptoms and function in children with COVID-19 are not uncommon. More attention should be paid to this unique group of patients.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Year:  2021        PMID: 33725961      PMCID: PMC7982203          DOI: 10.1097/MD.0000000000024897

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


Introduction

In December 2019, a cluster of an unidentified form of acute respiratory pneumonia cases, named coronavirus disease 2019 (COVID-19) by the World Health Organization, brought great challenges to global public health.[ By June 19, 2020, more than 8,385,440 confirmed cases, including 450,686 deaths, had been reported from more than 150 countries or regions globally. SARS-CoV-2 is considered to be the causal agent of this viral pneumonia. Patients generally have typical acute respiratory disease manifestations, and even fatal respiratory failure can occur.[ Studies have shown that the entry of SARS-CoV-2 into human cells requires the ACE2 receptor, and ACE2 is widely distributed in various tissues throughout the body. Other studies combined with the latest autopsy reports have confirmed that COVID-19 is not only a respiratory disease but also may affect other human systems. The digestive system, gastrointestinal tract, and liver all abundantly express ACE2,[ and fecal-oral transmission has been confirmed to be possible. Studies have shown that children with COVID-19 generally have mild symptoms, and their prognosis is relatively good.[ However, reports have increasingly shown that potential comorbidities and coinfections in infants and young children in particular have a critical presentation, with infants below 6 months having a significantly increased risk of critical disease severity.[ Moreover, the period of SARS-CoV-2 positivity in children's stool is significantly increased compared with that in adults within their families.[ According to reports, COVID-19 patients’ gastrointestinal symptoms mainly include anorexia, nausea, vomiting, abdominal pain, and diarrhea. Additionally, abnormal liver enzyme indicators and liver damage are observed, which is consistent with the expression and distribution of ACE2 in the digestive tract.[ The latest reports show that gastrointestinal symptoms of COVID-19 in children are not uncommon. Gastrointestinal symptoms have significance in the early diagnosis of children and the guidance of treatment.[ Therefore, it is necessary to clarify the common gastrointestinal symptoms and the characteristics of liver function in pediatric patients with COVID-19 to provide clinical guidance for their treatment. We thus conducted a systematic review and meta-analysis of studies that have reported gastrointestinal symptoms, liver injury, and prognosis in children with COVID-19.

Methods

Literature inclusion and exclusion criteria

The inclusion criteria were as follows: retrospective study; definite diagnosis of COVID-19; and language limited to Chinese and English. The exclusion criteria were the following: duplicate publication; review, animal experiments and case reports; and studies without full text, studies with incomplete information, and studies from which data extraction was impossible.

Search strategy

In this systematic review and meta-analysis, we searched the PubMed, Embase, and Web of Science databases from January 1, 2020 to June 17, 2020. In addition, we also searched for COVID-19 publications in the WHO publication database, “The Lancet” COVID-19 Resource Center, “New England Medical Journal,” “Journal of the American Medical Association,” “Medical Journal,” “Gastrointestinal Diseases,” “American Journal of Gastroenterology,” and the US Centers for Disease Control and Prevention for more comprehensive results. The search terms were “SARS-CoV-2 infection,” “2019 novel coronavirus infection,” “2019-nCoV infection,” “coronavirus disease 2019,” “child,” “children,” and “pediatric.”

Literature screening and data extraction

The literature search, screening, and information extraction were all independently completed by 2 researchers. When there were doubts or disagreements, the decision was made after discussion or consultation with a third party. The data extraction included the author; year; study area; research type; number of cases; and prevalence of clinical gastrointestinal symptoms, such as vomiting, nausea, diarrhea, and abdominal pain. According to the liver injury defined in the article, we extracted 2 serological indicators: alanine aminotransferase (ALT) and aspartate aminotransferase (AST). COVID-19 was diagnosed on the basis of the study criteria, with reference to WHO guidance.

Literature quality assessment

Two researchers independently conducted literature quality evaluations using the National Institutes of Health (NIH) Quality Assessment Tool for Case Series Studies.[ When the opinions were inconsistent, it was decided through discussion or consultation with the third person. The meta-analysis was performed based on the related items of the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement (PRISMA statement).

Data synthesis and statistical analysis

The present meta-analysis was performed with the metaprop command of the meta package in R (version 4.0.1) for pooling single-armed rates. Stata (version 15.1) with the command metareg was used for meta-regression. If the heterogeneity test revealed P≥.1 and I2≤50%, this indicated that the study had homogeneity, and the fixed effect model was used for combined analysis. If P < .1 and I2 > 50%, this indicated that the study had heterogeneity, and a sensitivity analysis, meta-regression, and subgroup analysis were used to find the source of heterogeneity. If the heterogeneity was still large, we used the random-effects model, or we set aside the results and used a descriptive analysis. When the number of documents included in a single outcome index was more than 10, the publication bias of each outcome was analyzed using a funnel plot and Egger test.

Results

Results of the literature search

In total, 2232 articles were obtained by searching PubMed, Embase, and Web of Science. After excluding duplicate studies, 920 articles remained. By further browsing the abstracts of the articles, we narrowed the results to 367 articles. Finally, the full texts were read to obtain 19 articles that could be used for the meta-analysis (Fig. 1).
Figure 1

Flow diagram for selection of studies.

Flow diagram for selection of studies.

Baseline characteristics and quality assessment of the included studies

Baseline characteristics

Overall, 19 retrospective studies were included in this meta-analysis. The sample size ranged from 8 to 1353, and 3907 patients were included in the present meta-analysis. Patients in 12 studies were from China, patients in 5 studies were from the United States, and patients in 2 studies were from Italy. All patients were children. The baseline characteristics of the included studies are shown in Table 1.[
Table 1

Baseline characteristics of the included studies.

AuthorYearResearch typeStudy areaNumber of patientsGender (M/F)AgeAge < 5 yr, n (%)
Sun[9]2020RetrospectiveChina86/28.0 (0.17–15.0)5 (40.0%)
Cai[10]2020RetrospectiveChina104/66.2 (0.3–10.9)3 (30.0%)
Garazzino[11]2020RetrospectiveItaly16894/742.3 (0.3–9.6)104 (61.9%)
Qiu[7]2020RetrospectiveChina3623/138.3 (1.0–16.0)10 (28.0%)
Su[5]2020RetrospectiveChina93/93.5 (0.92–9.8)5 (55.6%)
Xia[12]2020RetrospectiveChina2013/72.1 (1d-14.6)14 (70.0%)
Xu[13]2020RetrospectiveChina106/46.0 (0.17–15.0)4 (40.0%)
Lu[14]2020RetrospectiveChina171104/676.7 (1d-15.0)71 (41.5%)
Wang[15]2020RetrospectiveChina3115/167.1 (0.5–17.0)< 50%
Bai[16]2020RetrospectiveChina2514/1111.0 (6.3–14.5)< 50%
Catherine[17]2020RetrospectiveUSA5732/2510.7 (0.1–20.2)< 50%
Du[18]2020RetrospectiveChina182120/626.0 (0.0–15.0)88 (58.4%)
Lin[19]2020RetrospectiveUSA1295716/4797.35 ± 5.99< 50%
Zhang[20]2020RetrospectiveChina4629/178.0 (4.0–14.0)16 (35.0%)
Mannheim[21]2020RetrospectiveUSA6428/3611.0 (7.0–16.0)15 (23.0%)
Parri[6]2020RetrospectiveItaly13073/576.0 (0.0–11.0)41 (31.5%)
Ranabothu[22]2020RetrospectiveUSA1353694/659/439 (32.4%)
Shekerdemian[23]2020RetrospectiveUSA4825/2313.0 (4.2–16.6)14 (30.0%)
Xiong[24]2020RetrospectiveChina244150/941.2 (0.3–7.8)109 (44.7%)
Baseline characteristics of the included studies.

Quality assessment of the included studies

The quality assessment of these included studies is shown in Table 2.
Table 2

Quality assessment of the included studies.

QuestionOverall Rating
Author123456789Reviewer 1Reviewer 2
SunYesYesYesCDNAYesCDYesYesFairFair
CaiYesYesNRCDNAYesCDNAYesFairFair
GarazzinoYesYesNRCDNAYesCDYesYesFairFair
QiuYesYesNRCDNAYesCDYesYesFairFair
SuYesYesNRCDNAYesCDNAYesFairFair
XiaYesYesYesCDNAYesCDYesYesFairFair
XuYesYesYesCDNAYesCDYesYesFairFair
LuYesYesNRCDNAYesCDYesYesFairFair
WangYesYesNRCDNAYesCDYesYesFairFair
BaiYesYesYesCDNAYesCDYesYesFairFair
CatherineYesYesNRCDNAYesCDYesYesFairFair
DuYesYesNRCDNAYesCDYesYesFairFair
LinYesYesNRCDNAYesCDYesYesFairFair
ZhangYesYesNRCDNAYesCDYesYesFairFair
MannheimYesYesNRCDNAYesCDYesYesFairFair
ParriYesYesNRCDNAYesCDYesYesFairFair
RanabothuYesYesYesCDNAYesCDYesYesFairFair
ShekerdemianYesYesYesCDNAYesCDYesYesFairFair
XiongYesYesNRCDNAYesCDYesYesFairFair

CD = cannot determine, NA = not applicable, NIH = National Institutes of Health, NR = not reported.

The NIH Quality Assessment Tool for Case Series Studies poses 9 questions:

1 = Was the study question or objective clearly stated?,

2 = Was the study population clearly and fully described, including a case definition?,

3 = Were the cases consecutive?,

4 = Were the subjects comparable?,

5 = Was the intervention clearly described?,

6 = Were the outcome measures clearly defined, valid, reliable, and implemented consistently across all study participants?,

7 = Was the length of follow-up adequate?,

8 = Were the statistical methods well-described?,

9 = Were the results well-described?

Quality assessment of the included studies. CD = cannot determine, NA = not applicable, NIH = National Institutes of Health, NR = not reported. The NIH Quality Assessment Tool for Case Series Studies poses 9 questions: 1 = Was the study question or objective clearly stated?, 2 = Was the study population clearly and fully described, including a case definition?, 3 = Were the cases consecutive?, 4 = Were the subjects comparable?, 5 = Was the intervention clearly described?, 6 = Were the outcome measures clearly defined, valid, reliable, and implemented consistently across all study participants?, 7 = Was the length of follow-up adequate?, 8 = Were the statistical methods well-described?, 9 = Were the results well-described?

Results of the meta-analysis

Prevalence of gastrointestinal symptoms

All 19 studies reporting gastrointestinal symptoms in patients with COVID-19 at diagnosis were combined. Sixteen studies, including 3210 patients, reported the prevalence of diarrhea. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 84%, P < .01). The pooled prevalence of diarrhea was 10% (95% CI: 7–14) (Fig. 2).
Figure 2

Pooled estimate of the prevalence of gastrointestinal symptoms in children with COVID-19.

Pooled estimate of the prevalence of gastrointestinal symptoms in children with COVID-19. Twelve studies, including 2466 patients, reported the prevalence of nausea or vomiting. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 77%, P < .01). The pooled prevalence of nausea or vomiting was 7% (95% CI: 5–11) (Fig. 2). Four studies, including 1843 patients, reported the prevalence of abdominal pain. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 79%, P < .01). The pooled prevalence of nausea or vomiting was 4% (95% CI: 2–9) (Fig. 2).

Incidence of abnormal liver function

There were 8 studies on abnormal liver function. Eight studies, including 405 patients, reported the incidence of increased ALT. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 46%, P = .07 < 0.1). The pooled incidence of increased ALT was 8% (95% CI: 5–15) (Fig. 3).
Figure 3

Pooled estimate of the incidence of liver injury in children with COVID-19.

Pooled estimate of the incidence of liver injury in children with COVID-19. Seven studies, including 385 patients, reported the incidence of increased AST. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 66%, P < .01). The pooled incidence of increased AST was 15% (95% CI: 9–26) (Fig. 3).

Prognosis of pediatric patients

Five studies, including 400 patients, reported the recovery rate. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 86%, P < .01). The pooled recovery rate was 97% (95% CI: 94–100) (Fig. 4).
Figure 4

Pooled estimate of the prognosis of pediatric patients with COVID-19.

Pooled estimate of the prognosis of pediatric patients with COVID-19. Six studies, including 1753 patients, reported the death rate. Meta-analysis was performed through a random-effects model due to significant heterogeneity (I = 48%, P = .09 < 0.1). The pooled death rate was 1% (95% CI: 1–4) (Fig. 4).

Subgroup analysis

To further understand the differences in gastrointestinal complications and liver function of children in different regions and at different ages, we conducted a subgroup analysis. First, we analyzed the differences between more than 50% of the samples in the group over 5 years old (50%≥5 years) and 50% of the samples in the group under 5 years old (50%<5 years). We found a higher proportion of patients in the “50%≥5 years” group presenting with diarrhea than in the “50%<5 years” group (11% [95% CI: 6–19] vs 8% [95% CI: 5–13]; P < .01). However, the opposite result was also found for nausea or vomiting (7% [95% CI: 4–11] vs 9% [95% CI: 7–12]; P < .01). In the investigation of liver function, the incidence of increased AST was higher in the “50%≥5 years” group than in pediatric patients with COVID-19 in the “50% < 5 years” group (18% [95% CI: 9–36] vs 9% [95% CI: 5–15]; P = .02), and the incidences of increased ALT (7%[95% CI: 4–11] vs 12%[95% CI: 4–38]; P = .08) and the rate of death (1%[95% CI: 0–10] vs 1%[95% CI: 1–4]; P = .05) were similar in the “ 0%≥5 years” group and the “50%<5 years” group (Table 3).
Table 3

Subgroup analysis of GI, liver function, and prognosis in children with COVID-19.

95% CI
FactorsSubgroupStudy (n)Rate (%)LCIUCII2P
GI symptoms
DiarrheaAge=50%≥5 yr111161987<.01
Age=50%<5 yr5851375
China101171870<.01
Europe and America6851491
Nausea or vomitingAge=50%≥5 yr8741178<.01
Age=50%<5 yr4971218
China786100<.01
Europe and America5741589
Liver function
ALTAge=50%≥5 yr574110.08
Age=50%<5 yr31243877
China71052053.05
Europe and America16312/
ASTAge=50%≥5 yr51893670.02
Age=50%<5 yr295150
China61793262.02
Europe and America18515/
Prognosis
RecoveryAge=50%≥5 yr2662510082<.01
Age=50%<5 yr3806110091
China3826110083<.01
Europe and America2825410094
DeathAge=50%≥5 yr2101043.05
Age=50%<5 yr411461
China31050.05
Europe and America310675
Subgroup analysis of GI, liver function, and prognosis in children with COVID-19. Additionally, we also studied the differences between Chinese children and European or American children. For GI symptoms, we found that the prevalence of diarrhea (11%[95% CI: 7–18] vs 8%[95% CI: 5–14]; P<.01) and nausea (or vomiting) (8%[95% CI: 6–10] vs 7%[95% CI: 4–16]; P < .01) was higher in China than in Europe and America. However, in the analysis of serological indicators of liver injury, we only found a higher proportion of patients with increased AST in China than in Europe and America (17%[95% CI: 9–32] vs 8%[95% CI: 5–15]; P = .02), while the proportion of patients with increased ALT was similar in the 2 groups (10%[95% CI: 5–20] vs 6%[95% CI: 3–12]; P = .05). Moreover, we analyzed the prognosis of different age groups. Treatment measures for different age groups were mainly symptomatic and respiratory support, and there is no significant difference. Therefore, the prognosis, including recovery (82%[95% CI: 61–100] vs 82%[95% CI: 54–100]; P < .01) and death (1%[95% CI: 0–5] vs 1%[95% CI: 0–6]; P = .05), of pediatric patients was also similar in the 2 groups (Table 3).

Sensitivity analysis

Sensitivity analysis eliminates each included study one by one and performs a summary analysis on the remaining studies to assess whether a single included study has an excessive impact on the results of the entire meta-analysis. The results showed that none of the studies had an excessive impact on the results of the meta-analysis (see Figure S1–7, Supplemental Content, which illustrates that none of the studies had an excessive impact on the results of the meta-analysis), indicating that the results of the remaining studies were stable and reliable.

Publication bias

The 2 funnel plots drawn in the study were basically symmetrical, and Egger test (P = .055; P = .366) based on the 2 funnel plots showed that there was no obvious publication bias in these studies (Fig. 5).
Figure 5

Funnel plot for publication bias for prevalence of diarrhea (A) and nausea or vomiting (B).

Funnel plot for publication bias for prevalence of diarrhea (A) and nausea or vomiting (B).

Discussion

Many studies have confirmed that the digestive system of patients with COVID-19 is significantly affected.[ Our main focus was to analyze gastrointestinal symptoms and liver function changes in children with COVID-19. With the gradual deepening of research, it has become clear that COVID-19 can invade a variety of tissues in the human body, causing dysfunction of multiple organ systems and eventually even inducing fatal respiratory failure. ACE2 is an important target by which COVID-19 invades cells, and ACE2 is abundantly expressed in the gastrointestinal tract and liver; consequently, gastrointestinal involvement and liver injury in patients with COVID-19 are common. According to Ren Mao et al's meta-analysis, 4% (95% CI: 2–5; I2 = 74%) of patients experience significant gastrointestinal symptoms, and 3% (95% CI: 2–4; I2 = 57%) of patients exhibit liver damage. As the severity of the disease increases, digestive symptoms and liver damage become more pronounced.[ It has been reported in the literature that, during the COVID-19 pandemic, some patients initially showed abdominal symptoms without fever or respiratory manifestations.[ A multicenter study reported that there were 204 critically ill COVID-19 patients in 3 hospitals when the disease initially broke out in China. Among them, 103 (50%) patients had digestive symptoms as the main symptom, and 6 (3%) patients showed only digestive symptoms and no changes in respiratory symptoms.[ There are also reports showing that approximately 10% of patients have gastrointestinal symptoms without changes in respiratory function; thus, it is recommended that gastrointestinal symptoms be included earlier in the COVID-19 diagnostic standard.[ In this article, we summarized 19 articles on children with COVID-19, and we conducted a meta-analysis of the incidence of gastrointestinal symptoms and changes in liver function involving 3907 patients, thereby providing a comprehensive view of digestive system performance in children with COVID-19. The gastrointestinal symptoms of children with clinical digestive tract involvement generally involve vomiting or nausea, diarrhea, or abdominal pain.[ Liver injury mainly includes increased ALT, AST, and total bilirubin levels.[ According to our results, the incidences of vomiting or nausea, diarrhea, and abdominal pain were 7% (95% CI: 5–11; I2 = 77%), 10% (95% CI: 7–14; I2 = 84%), and 4% (95% CI: 2–9; I2 = 79%), respectively, and the incidences of increased ALT and AST levels were 8% (95% CI: 5–15; I2 = 46%) and 15% (95% CI: 9–26; I2 = 79%), respectively. These symptoms indicate that COVID-19 invades the gastrointestinal and liver tissues, causing gastrointestinal dysfunction and liver parenchymal cell damage. Although many studies suggest that the gastrointestinal symptoms in children with COVID-19 are mild or moderate, the period required for SARS-CoV-2 results to become negative in pediatric patients does not seem to be affected by the severity of the disease. Considering that the delayed removal of viral RNA in the feces of patients yields a potential risk of transmission, especially in rehabilitation patients, it is particularly important to pay attention to the diagnosis of COVID-19 in children and to standards for viral RNA negativity in asymptomatic patients.[ It is worth noting that the gastrointestinal tract showed parenchymal organ changes during the pathological examination of adult cadavers. On the other hand, there have been reports of pediatric deaths, especially in infants and young children who are coinfected or have underlying congenital diseases.[ However, whether children will show changes after gastrointestinal tract involvement needs to be explored via additional research. Most literature reports have shown that children infected with SARS-CoV-2 generally have mild symptoms or are not easily noticeable. Importantly, most of their infections come from intrafamily transmission because the existence of potentially asymptomatic or mild infections promotes further community transmission.[ Through a subgroup analysis of gastrointestinal involvement in children, we summarized the differences in age and regional factors in children's gastrointestinal involvement. We found that, compared with children younger than 5 years of age, children who were older than 5 years were more likely to show diarrhea symptoms (11% [95% CI: 6–19] versus 8% [95% CI: 5–13]]; P < .01). However, the opposite result was found for nausea or vomiting (7% 95% CI [95% CI: 4–11] vs 9% [95% CI: 7–12]; P < .01). In the investigation of liver function, the results showed that the incidence of increased AST was higher in the “50%≥5 years” group than in pediatric patients with COVID-19 in the “50%<5 years” group (18% [95% CI: 9–36] vs 9% [95% CI: 5–15]; P = .02). In the analysis of prognosis, no differences were found in age, country, or region. Additionally, we also studied the differences between Chinese and European children. We found that the gastrointestinal involvement of Chinese children is more serious than that of children in Europe and the United States. There may be many reasons for this phenomenon. First, the sequence and ease of SARS-CoV-2 transmission in different countries have shown significant differences, and there are differences in the abundance of ACE2 gene expression in different races.[ Second, there are different treatment interventions in different countries or regions.[ However, in general, all children with COVID-19 have a good prognosis, and they more often are asymptomatic or exhibit mild symptoms. Because many studies have reported that children with COVID-19 possibly have a longer period of viral positivity, we cannot ignore the potential risk of disease transmission from children with COVID-19. This meta-analysis also has several limitations. First, evaluation of the methodological quality indicated that the quality of the evaluated research literature was relatively low. Second, due to insufficient data reported in the original publication, we were unable to assess the impact of other factors (such as sex and comorbidities) on the diagnosis of gastrointestinal symptoms and changes in liver function. Third, the severity of COVID-19 varied across studies, which may explain the heterogeneity of this meta-analysis. The heterogeneity of gastrointestinal symptoms was high, while the heterogeneity of liver function was moderate. Finally, due to the disease characteristics of COVID-19, the sample size in most of the studies included in this meta-analysis was not large, which may have also led to some bias in the results.

Conclusion

In conclusion, our review found that digestive system symptoms and liver damage in children are not uncommon but are often overlooked. Emerging studies have reported that gastrointestinal involvement in children includes vomiting or nausea, diarrhea, abdominal pain, and abnormalities of liver cell-related enzymes (ALT, AST), which are similar to the symptoms of gastrointestinal involvement in adults. However, we also found that different ages, countries, and regions are associated with differences in pediatric digestive tract involvement and liver injury. Therefore, more clinical and experimental research is still needed to further reveal the role of digestive system involvement in COVID-19 progression and its underlying mechanisms.

Author contributions

JW wrote the manuscript, XY conceived the manuscript. All authors have read and approved the final manuscript. Conceptualization: Jiajia Wang. Writing – original draft: Jiajia Wang. Writing – review & editing: Xiaofeng Yuan.
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