Literature DB >> 26528820

Etiology of Childhood Infectious Diarrhea in a Developed Region of China: Compared to Childhood Diarrhea in a Developing Region and Adult Diarrhea in a Developed Region.

Xin Wang1, Jing Wang2, Hao Sun2, Shengli Xia3, Ran Duan4, Junrong Liang4, Yuchun Xiao4, Haiyan Qiu4, Guangliang Shan5, Huaiqi Jing4.   

Abstract

In China, great differences in economy, social characteristics and hygiene exist between developing and developed regions. A comparative study of infectious diarrhea between two regions was needed. Three groups of diarrheal patients were collected: children ≤5 year-olds from Beijing (developed region) and Henan Province (developing region), and adults over 18 year-olds from Beijing. A questionnaire was used to survey and feces samples were examined for 16 enteropathogens. We enrolled 1422 children and 1047 adults from developed region and 755 children from developing region. Virus positive rates were 32.98% for children and 23.67% for adults in developed region. The most prevalent pathogen for children was rotavirus whereas for adults was norovirus. Bacterial isolation rates were 13.92% for children from developed region, while 29.14% for children from the developing regions. For the greatest difference, Shigella accounted for 50.79% and was the dominant pathogen in the developing region, whereas in the developed region it was only 1.45%. There was no significant relationship between the local levels of development with diarrheogenic Escherichia coli (DEC) categories. But it was seen the notable differences between the population with different age: enteropathogenic E.coli (EPEC) and enteroaggregative E.coli (EAggEC) were the primary classes of DEC in children from both regions, whereas it was enterotoxigenic E.coli (ETEC) in adults. The symptoms of Shigella and Salmonella infection, such as bloody stools, white blood cells (WBC) and red blood cells (RBC) positivity and fever were similar in children, which may lead to the misidentification. Yersinia enterocolitica and shiga toxin-producing E.coli (STEC) infections were firstly reported in Beijing. There was a large difference in etiology of bacterial diarrhea between children in developing and developed regions of China.

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Year:  2015        PMID: 26528820      PMCID: PMC4631449          DOI: 10.1371/journal.pone.0142136

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Infectious diarrhea is a major concern for public health worldwide [1] and is caused by water and food contaminated with pathogenic bacteria, viruses, or parasites [2]. Diarrheal disease is the primary cause of morbidity and mortality among children in developing countries [1, 3]. The etiology of infectious diarrhea has obvious divergence among regions with different economic and hygiene development [4]. The common bacteria causing diarrhea in developed countries are Salmonella, Campylobacter, shiga toxin-producing E.coli (STEC), enteropathogenic E.coli (EPEC), and enteroaggregative E.coli (EAggEC) in the United States [5], Greece [6], Denmark [7], France [8], and the United Kingdom [3]. Shigella and enterotoxigenic E.coli (ETEC) are frequently found among developing countries, as sub-Saharan Africans, south Asians [1, 9, 10], south Americans [11], Pacific Islanders [12, 13]. The etiology of viral diarrhea is similar between developed and developing countries [4, 8, 12]. Etiology surveys of infectious diarrhea in China are limited [14-16], especially for bacteria etiology and also for detecting virus and bacteria simultaneously. Considering etiology differences of infectious diarrhea between children in developed and developing regions of China was unclear, we studied children with diarrhea who were no more than 5 years old from a community children hospital in Beijing for three years consecutively; and recruited diarrheal adults over 18 years old from a general hospital in Beijing and diarrheal children in a village clinic in Henan Province as a control.

Materials and Methods

Population Design and Investigation

All the cases enrolled and performed as the same protocol. The diarrhea was defined as three or more loose stools within the previous 24hrs according to the Global Enteric Multicenter Study (GEMS) [1]. Beijing City and Henan province, the typical developed and developing regions of China, were selected to do the study. The diarrhea outpatients of no more than 5 years old at a community pediatric hospital were recruited from 1 October 2011 to 30 September 2014 in city center of Beijing, representative of a developed region. To make a pathogen spectrum comparison, adult patients over 18 years old were collected from the enteric clinic of a general hospital in Beijing during 2013 to 2014 in Beijing; and childhood patients of the same age range were collected from a village clinic from January 2010 to December 2014 in the poor countryside in Sui County of Henan Province, representative of a developing region. A questionnaire to each case was used to survey demographics (name, gender, birthday, address, contact information) and clinical features (the date of onset, the date of visiting doctor, diarrhea frequency, body temperature, vomiting, fecal property and results of stool routine inspection). The routine examination of the stools was performed to detect the presence of white blood cells (WBC) and red blood cells (RBC) in the stool samples. For the limitations of village clinic, stool routine inspection didn’t be examined in Sui county of Henan.

Detection of Pathogens

Samples

Fresh stool were collected when the cases visited the doctor and enrolled to this study, these were analysed to detect five viruses (rotavirus, norovirus, sapovirus, astrovirus, and adenovirus) and 11 bacteria (Salmonella, Shigella, diarrheogenic Escherichia coli [DEC], Vibrio cholera, Vibrio parahaemolyticus, Yersinia enterocolitica, Yersinia pseudotuberculosis, Campylobacter jejuni, Campylobacter coli, Aeromonas hydrophila, and Plesimonas shigelloides) in the pathogen laboratories of centre for disease control and prevention. The same detection procedure was performed at each site. Samples from Beijing childhood cases were examined for all bacteria and viruses. Sample of Beijing adults were tested for 11 bacteria in the year of 2013 and for all bacteria and viruses both in the year of 2014. Sample from Sui County of Henan were tested for 11 bacteria. Previous studies have shown that there are no significant differences between viral diarrhea in children from developed and developing regions [4, 8, 12], which was supported by an unpublished Chinese national survey either. Virus detection was conducted in the developed region but not in the Henan countryside due to lack of suitable laboratory facilities.

Viruses Detection

Samples for the virus detection were placed in the commercial virus sampling tube and storing and transferred to the pathogen laboratory at the temperature lower than -20°C. Viral DNA or RNA was extracted from sample (QIAGEN, USA) and the first strand cDNAs were synthesized from the extract viral RNAs. The multiplex PCR was performed to detect rotavirus, norovirus, sapovirus, astrovirus, and adenovirus. Further, PCR was performed for subtyping rotavirus (groups A, B, and C) and norovirus (GI and GII). The detection of virus within the samples was performed as previously described [17, 18] (The PCR primers for each virus were showed in S1 Table).

Bacteria isolation

Enough samples for the bacterial tests were collected and placed in Carry-Blair medium and transferred to the laboratory at 4°C within 24 hours to allow the isolation and identification of the bacteria described above. To isolate Salmonella [19], the samples were placed into selenite brilliant green (SBG) sulfa enrichment broth (BD, USA) and incubated at 37°C for 16h. The inoculate was then placed onto the Salmonella-Shigella (SS) agar or CHROMagar Salmonella Medium (CHROMagar, France) at 37°C overnight, selected the suspicious colonies to perform ortho-nitrophenyl-beta-D- galactopyranoside (ONPG) test, and finally confirmed strains by Api20E (bioMérieux, France). To isolate Shigella, sample were streaked onto the Salmonella-Shigella (SS) agar, MacConkey (MAC) agar or xylose lysine desoxycholate (XLD) agar, incubated at 37°C for 16-24h and chose the suspicious colonies to test biochemical reactions by Kligler iron agar (KIA) and motility indole urea semisolid medium (MIU). Identified Shigella strain and the serotype by antisera of Shigella. To isolate diarrheogenic Escherichia coli (DEC), the samples were inoculated onto MAC agar, incubated at 37°C for 16-24h and selected the suspicious colonies to perform biochemical reactions by KIA, MIU and Indole/Methyl red/Voges—Proskauer/Citrate (IMViC) test to identify suspicious presumptive E.coli strains. The detection of the virulence genes of suspicious presumptive E.coli strains was performed by multiplex PCR, as described previously in [20] (The PCR primers were showed in S2 Table) to identify EPEC, EAggEC, ETEC, enteroinvasive E. coli (EIEC) and STEC. To isolate V.cholera, V.parahaemolyticus, A.hydrophila, and P.shigelloides, the samples were cultured by alkaline peptone water (AWP) at 37°C for 6-8h and inoculated on thiosulfate citrate bile salts sucrose (TCBS) agar (BD, USA), MAC agar and blood plate. The presumptive colonies were examined for oxidase activity and positive isolates were identified by the Api20E/NE test Api20E/NE (bioMérieux, France). To isolate Y.enterocolitica and Y.pseudotuberculosis [21], enrichment was performed by using peptone sorbitol bile broth(Fluka, USA) at 4°C for 10–20 days, and then the strains were inoculated onto Yersinia selective agar (cefsulodin-Irgasan-novobiocin [CIN] agar) (BD, USA) and incubated at 25°C for 24h. Colonies were selected by KIA and MIU and identified by Api20E (bioMérieux, France). To isolate C.jejuni and C.coli, the samples were inoculated Skirrow selective medium (BD, USA)which added blood and incubated at 42°C in microaerophilic environment for 2-3days and the suspicious strains were identified following the oxidase, catalytic and hippurate hydrolysis tests.

Data Analysis

Statistical analysis was performed using Stata software, version 12.0. Isolation rates from adults and children were compared using the Chi-square method, and adjusted for confounders and season. In the comparison of the urban and rural children, age group and season were adjusted.

Ethics

This study was approved by the ethics review committee [Institutional Review Board (IRB)] of National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. Signed informed consent was obtained from all study participants. For all the patients under 18 years-old, a written consent form was signed by a parent or legal guardian.

Results

Characteristics of Cases

Demography of Subjects

During the period from 1 October 2011 to 30 September 2014, a total of 1422 outpatients aged 5 years or under were enrolled from the developed region. In the adult group from the developed region, 1047 adult cases were collected from March 2013 to October 2014, excluding November to February because the enteric clinic is closed during this period according to Chinese regulation. In the group from the developing region, 755 children cases were enrolled from January 2010 to December 2014. Childhood diarrhea throughout the year demonstrated the peak season for episodes to be in the summer and autumn in both of the developed and developing regions. In the adult population from developed region the episodes of diarrhea were found in the spring and autumn but the highest levels were detected in the summer (Table 1).
Table 1

Demographic and clinical symptoms of cases.

CharacteristicsNo. of enrolled cases (proportion %)
Children in developed regionChildren in developing regionAdults in developed region
GenderMale841(59.14)504(66.75)503(48.04)
Female581(40.86)251(33.25)544(51.96)
Age(years)0-589(41.42)220(29.14)18-117(11.17)
1-494(34.74)312(41.32)25-409(39.06)
2-151(10.62)136(18.01)35-140(13.37)
3-95(6.68)48(6.36)45-131(12.51)
4-53(3.73)27(3.58)55-115(10.98)
5-40(2.81)12(1.59)65-135(12.89)
SeasonSpring(Mar-May)254(17.86)87(11.52)290(27.70)
Summer(Jun-Aug)571(40.15)297(39.34)491(46.89)
Autumn(Sep-Nov)420(29.54)321(42.52)266(25.41)
Winter(Dec-Feb)177(12.45)50(6.62)-
Clinical SymptomsDiarrhea frequency (times/day Mean±SD)4.35±1.726.15±2.155.69±2.23
Fever(>37.2℃)130(9.14)195(25.83)13(1.24)
Temperature(℃)38.46±0.6238.33±0.6838.55±0.54
Vomit156(10.97)193(25.56)279(26.65)
Fecal propertyWatery883(58.58)156(20.66)633(60.46)
Mucus29(2.04)136(18.01)26(2.48)
Bloody13(0.91)356(47.15)5(0.48)
Loose497(34.95)107(14.17)383(36.58)
Stool Routine a WBC-929(65.33)-492(46.99)
WBC+488(34.42)-555(53.01)
RBC-1326(93.25)-265(25.31)
RBC+91(6.40)-782(74.69)

a: 1417 childhood cases were examined the stool routine inspection in developed region.

a: 1417 childhood cases were examined the stool routine inspection in developed region.

Clinical Features

Symptoms of diarrhea frequency, excrement character, fever, vomiting, and test results for WBC and RBC are shown in Table 1. Children no more than 5 years old in the developed regions had lower average diarrhea frequency (per day) than those in the developing regions. Watery stools predominated in the developed regions (children 58.58%, adults 60.46%), whereas bloody stools were found in the developing region (47.15%). Clinical symptoms were the most severe in children from the developing region, followed by adults and children from the developed region.

Pathogen Spectrums from Diarrheal Children between Developed and Developing Regions

A total of 469 cases were viral positive and 198 cases isolated strains, which was belonged to 11 tested bacteria, from 1422 childhood cases of developed region. The time trend of cases enrolled, bacteria positive and virus positive were showed in Fig 1. And bacteria were isolated 220 cases from the developing region (Table 2). Onset season and age group were significantly associated with isolation rates in both regions, so they were adjusted in order to compare the isolation rates. Total bacteria, Shigella and A.hydrophila isolation rates showed significant differences between developed and developing regions (Table 2). Multivariable regression analysis including covariates gender, age group, onset season, and regions showed that the Shigella isolation rate in developing regions was 88.59 times higher compared to that in the developed region (OR = 88.59; 95% confidence interval [CI]:[27.97,-280.56]; P = 0.000) and A.hydrophila was 5.55 times higher(OR = 5.55, 95%CI:[2.38–12.96]; P = 0.000).
Fig 1

Monthly number of enrolled, virus positive and bacteria isolated cases of children in the developed region.

Table 2

Comparison of the positive rate of childhood cases in the developed region with adult cases in the developed region and childhood cases in the developing region.

PathogenChildren in Developed region (n = 1422)Adults in Developed region a (n1 = 1047; n2 = 507)Children in Developing region (n = 755) P value of comparison between the childhood and adult cases in the developed regions P value of comparison between the childhood cases in the developed and developing regions
No. of positivepositive rate(%)No. of positivepositive rate(%)No. of isolatespositive rate(%) P P (Adjust by season) P P (Adjust by age) P (Adjust by season)
Bacteria19813.9218617.7722029.140.0090.0000.0000.0000.000
Salmonella 614.29353.34405.300.2290.3690.2870.3570.297
Shigella 30.21151.4312816.950.0000.0010.0000.0000.000
DEC1289.0011110.60547.150.1840.8240.1380.0440.111
EAggEC503.52181.72222.910.0070.0000.4550.1610.320
EPEC644.50222.10273.580.0010.0000.3050.2910.367
ETEC50.35656.2120.260.0000.0000.7340.7410.749
EIEC50.3550.4810.130.6260.6650.3530.2900.294
STEC50.3510.1020.260.2010.1450.7340.6060.700
Vibrio b 10.07252.3900.000.0000.0000.4660.5410.471
Yersinia c 70.4900.0020.260.0230.0140.4310.2300.539
Campylobacter d 00.0000.0010.13--0.1700.1020.166
Aeromonas hydrophila 70.4970.67273.580.5640.6510.0000.0000.000
Plesimonas shigelloides 00.0030.2900.000.0430.062---
Virus46932.9812023.67--0.0000.010
Rotavirus[ e ] 17912.59214.14--0.0000.001
Norovirus1399.775711.24--0.3140.248
Sapovirus644.50203.74--0.6260.755
Astrovirus483.38254.93--0.1060.039
Adenovirus936.5440.79--0.0000.000

a: n1: Total number of cases detecting bacteria; n2:Number of cases detecting virus and bacteria both.

b: Vibrio cholera and Vibrio parahaemolyticus.

c: Yersinia enterocolitica and Yersinia pseudotuberculosis.

d: Campylobacter jejuni and Campylobacter coli.

e: All of the positive cases were Rotavirus Group A.

a: n1: Total number of cases detecting bacteria; n2:Number of cases detecting virus and bacteria both. b: Vibrio cholera and Vibrio parahaemolyticus. c: Yersinia enterocolitica and Yersinia pseudotuberculosis. d: Campylobacter jejuni and Campylobacter coli. e: All of the positive cases were Rotavirus Group A. For the pathogen spectrum in sub-developed region children and developed region children, Shigella accounted for 50.79% and was the dominant pathogen in the developing region, whereas in the developed region it was only 1.45%. The DEC proportion in the developing region was one-third that of the developed region and Salmonella was half. A.hydrophila accounts for 10.71% in the developing region—three times that in the developed region (Fig 2A1 and 2A2).
Fig 2

Pathogen Spectrum of cases in the developed and developing region (%: proportion).

A1. Bacteria spectrum of childhood cases in the developed region; A2: Bacteria spectrum of childhood cases in the developing region; A3: Bacteria spectrum of adult cases in the developed region; B1. Pathogens (one case was detected bacteria and virus both) spectrum of childhood cases in the developed region; B2: Pathogens (one case was detected bacteria and virus both) spectrum of adult cases in the developed region. C1. Virus spectrum of childhood cases in the developed region; C2: Virus spectrum of adult cases in the developed region.

Pathogen Spectrum of cases in the developed and developing region (%: proportion).

A1. Bacteria spectrum of childhood cases in the developed region; A2: Bacteria spectrum of childhood cases in the developing region; A3: Bacteria spectrum of adult cases in the developed region; B1. Pathogens (one case was detected bacteria and virus both) spectrum of childhood cases in the developed region; B2: Pathogens (one case was detected bacteria and virus both) spectrum of adult cases in the developed region. C1. Virus spectrum of childhood cases in the developed region; C2: Virus spectrum of adult cases in the developed region. Shigella sonnei comprised 24.22% of the 128 Shigella strains isolated in the developing region, with the remainder being S. flexneri, 64.95% of which were serotype F2a. In the developed region, the only subtype of Shigella was S. sonnei. The proportion of five classes (EPEC, EAggEC, ETEC, EIEC and STEC) of DEC between the two regions showed no statistical significance (Fig 3).
Fig 3

The proportion of five classes of DEC and serum groups of Shigella.

A. The proportion of five classes of DEC; B: The proportion of serum groups of Shigella; C: The proportion of type of S.Flexneri.

The proportion of five classes of DEC and serum groups of Shigella.

A. The proportion of five classes of DEC; B: The proportion of serum groups of Shigella; C: The proportion of type of S.Flexneri. Some of the cases were mixed infection that more than one pathogen had been detected positive from one sample simultaneously. For childhood cases in developed region, 38 cases were isolated bacteria and detected virus positive, 7 cases were isolated two or three bacteria and 45 cases were detected two or three virus positive. For childhood cases in developing region, 30 cases were isolated two or three bacteria. No cases had been detected 4 or more pathogens positive in both of two regions. The more details of pathogen list about mix infection were showed in Table 3.
Table 3

Pathogens of Mixed Infection in Diarrhea Cases.

Children in Developed regionAdult in Developed regionChildren in Developing region
Bacteric+Virus 38 14 -
DEC+ Rotavirus42
DEC+ Norovirus95
DEC+ Sapovirus21
DEC+Astrovirus1
DEC+ Adenovirus9
Salmonella+ Rotavirus41
Salmonella+Norovirus3
Salmonella+Astrovirus2
Vibrio+ Rotavirus1
DEC+A.hydrophila+Rotavirus1
DEC+Rotavirus+Norovirus2
DEC+Norovirus+ Sapovirus+1
DEC+ Norovirus+ Sapovirus1
DEC+ Norovirus+ Astrovirus1
Salmonella+Norovirus+ Sapovirus1
Vibrio+ Rotavirus+ Norovirus1
Bacteria 7 10 30
DEC+ Salmonella 512
DEC+ Shigella 27
DEC+ Vibrio 2
DEC+Y.enterocolitica 11
DEC+A.hydrophila 2
Salmonella+Shigella 4
Salmonella+A.hydrophila 6
Shigella+Vibrio 1
Shigella+A.hydrophila 8
Vibrio+A.hydrophila 1
Vibrio+P. shigelloides 1
DEC+ Salmonella+Shigella 1
DEC+ Salmonella+A.hydrophila 11
Virus 45 4 -
Rotavirus+ Norovirus71
Rotavirus +Sapovirus82
Rotavirus+Astrovirus31
Rotavirus+ Adenovirus6
Norovirus+Sapovirus5
Norovirus +Astrovirus3
Norovirus+ Adenovirus3
Sapovirus+ Adenovirus5
Sapovirus +Astrovirus2
Rotavirus+Astrovirus+ Adenovirus2
Rotavirus+ Norovirus+ Sapovirus1

Pathogen Spectrums between Children and Adults in Developed Regions

A total of 186 samples isolated one or more strains of 11 bacteria from 1047 adult cases. In 2014, 507 adult samples were also tested for five viruses, 120 of which were positive. Considering seasonal differences, the isolation rate was adjusted, showing that Shigella, EAggEC, EPEC, ETEC, Vibrio, Yersinia, rotavirus, sapovirus, astrovirus, and adenovirus were significantly different between the two populations of children and adults (Table 2). Multivariable regression analysis including covariates gender, onset season, and population showed that the isolation rate of adenovirus in children was 9.37 times higher than in adults (OR = 9.37; 95% CI:[3.41–25.72];P = 0.000), whereas Vibrio in adults was 33.86 times higher than in children (OR = 33.86; 95% CI: [4.56–251.12]; P = 0.001). For the total spectrum contain virus and bacteria both (Fig 2B1 and 2B2), DEC (26.97%) and norovirus (23.65%) were the predominant adult diarrhea pathogens, followed by astrovirus, Salmonella, rotavirus, sapovirus, and Vibrio, which was distinctly different from children. For the virus spectrum (Fig 2C1 and 2C2), rotavirus (34.23%) were primary in children while norovirus (44.88%) for adults. Adenovirus showed the most discrepancy between two populations. For bacteria spectrum (Fig 2A1 and 2A3), DEC (56.63%) and Salmonella (17.86%) were primary in the adult bacterial spectrum, which was slightly lower than for children. However, the Vibrio rate in adults was more than 10 times higher than in children and Shigella was five times higher. Among 15 strains of Shigella isolated from adults, 12 were S. sonnei and three were S. flexneri. The distribution of five DEC in the two populations was sharply different. EPEC and EAggEC dominated infant and children diarrhea, and were seldom isolated from adults. ETEC was predominant in adults, whereas EPEC and EAggEC were rare (Fig 3). About mixed infection of the adult cases in developed region, 14 cases were isolated bacteria and detected virus positive, 10 cases were isolated two bacteria and 4 cases were detected two or three virus positive (Table 3). There were no cases had been isolated 3 or more bacteria and none had been detected 4 or more virus positive neither.

Pathogens and Clinical Symptoms of Infant and Childhood Diarrhea

Among the clinical symptoms in virus-positive cases, watery stool, fever, and vomiting were the primary characteristics and were especially typical in Rotavirus. Mucous or bloody stools and abnormal stools (WBC+ or RBC+) were routine features of bacterial diarrhea. Salmonella cases and Shigella cases shared similar symptoms. In addition, Y.enterocolitica and EPEC cases showed obviously abnormal stool routines (S3 Table).

Discussion

The occurrence of bacterial diarrhea is closely related to the local economic development level [22-24]. Due to differences between social, economic and environmental factors characteristics, pathogen spectrums of infectious diarrhea vary. As the diversity of economic development level, people habits and customs, hygiene level between urban and countryside of China shows tremendous contrasts, which is distinct from European and American countries. The comparative study of infectious diarrhea pathogen spectrums between regions of different developmental levels was still relatively unknown in China before our study. However, we performed pathogen detection, including five viruses and 11 species of bacteria, on each sample from 3224 patients among three groups of people using the same method. This comparative study of the pathogen spectrum of infant infective diarrhea between a developed and developing region in China, between adults and infants in developed regions, is the first study of its kind. The primary difference in infant diarrhea pathogen spectrums between developed and developing regions in bacteriology was the detection rate of Shigella that was approximately 89 times, as the result of this study, higher compared to those in the developed region. The infant diarrhea spectrum of bacteria in developing regions in China was similar to those in Africa and South Asia [1, 7, 9, 10] and was correlated with the poverty and inadequate sanitation in Sui County in Henan. In the central urban region of Beijing, the levels of economic development and environmental conditions are similar to some developed countries which correlated with the spectrum of bacteria isolated, wherein DEC, Salmonella, and Yersinia were predominant and we rarely found Shigella [3, 5]. Furthermore, it was the first report that Yersinia enterocolitica infections were presence in Beijing. We speculate that the different pathogen spectrums between children and adults in Beijing were caused by the more complex environment to which the adults were exposed. The activity space of infants and young children in the city is comparatively clean and limited, so the pathogen species frequency is relatively low (Fig 2). The adult activity range is larger and they are more likely to come into contact with many kinds of contaminated foods as potential sources of infections. Moreover, there are a large number of rural migrant workers from poorer provinces living in Beijing and they live with poorer health conditions and environments. These cases were a portion of the clinical cases so the pathogenic spectrums of adults are more complicated than those of infants and young children in the city. In this study, isolated the suspicious strains first and then detected the virulence gene [20] from the DEC to identify and classify the strain. The data indicate three groups of people were found with a higher DEC detection rate. Continuous surveillance confirmed that DEC was the common cause of diarrhea in different groups of people in China. This project completes and corrects the deficiency of long-term DEC detection in China. This study identified species difference between the adults and children: ETEC was predominant in adults, whereas EPEC and EAggEC were the primary species in children. And no significant relationship between the local levels of development with DEC categories was found (Fig 3). Since the outbreak of EHEC O157: H7 that occurred in Xuzhou of Jiangsu Province, in 2000[25], it is generally considered that STEC caused severe symptoms in China. And STEC had not been reported in diarrhea patients in Beijing until our findings. Some of infants and young children infected with STEC in Beijing were verified firstly presented in this study, which with milder symptoms rather than severe symptoms and death. At present, only rotavirus and norovirus can be confirmed by etiological diagnosis in some large hospitals in China; many other diarrheal pathogens are diagnosed by clinical symptoms. Shigella, for example, is often diagnosed according to stool characteristics with pus, blood, or mucous test results such as being WBC and RBC positivity and symptoms like tenesmus. Through our correlative analysis of diarrhea pathogens and clinical symptoms, this study suggests that such a diagnosis method makes it hard to differentiate between Shigella, Salmonella, and Yersinia infections. From 2004 to 2013, the notifiable infectious disease reports of China, which acquired from the Data-Center of China Public Health Science (http://www.phsciencedata.cn/Share/en/index.jsp), suggested that morbidity from Shigella in Beijing was ranked in first place for ten years, except in 2013 (occupying second), which was 300%–600% higher than the national average (Fig 4). This differs from the data represented in this study, which showed that the detection rate for Shigella in infants and young children in the developing region was far higher than that in the developed region. We conclude that clinical diagnosis without etiologic diagnosis gives rise to the deviation in reports.
Fig 4

The morbidity of Shigella (symptoms diagnosed) reported by clinicians.

Conclusion

We investigated childhood diarrhea in the developed region of China for three years consecutively and compared to diarrheal adults in the developed region and children in the developing region. It is the first time to assess the etiological diversity of childhood infectious diarrhea between two regions in China. The study showed a large difference in the etiology of bacterial diarrhea between children in developing and developed regions and the most obvious diversity was Shigella. There was no significant relationship between the local levels of development with DEC categories, but the age it was. EPEC and EAggEC were the primary classes of DEC in children from both regions, whereas it was ETEC in adults. Shigella and Salmonella induced similar symptoms in children, which may lead to the misidentification of notifiable diseases. Y.enterocolitica and STEC infections were discovered for the first time in Beijing.

The sequences of the Specific Primers Used in RT-PCR to Detect Rotavirus, Adenovirus, Astrovirus, Norovirus, and Sapovirus.

(DOCX) Click here for additional data file.

The sequences of the Specific Primers Used in PCR to classify EPEC, ETEC, EAggEC, EIEC and STEC.

(DOCX) Click here for additional data file.

The association of clinical symptoms with pathogen detection positive.

(DOCX) Click here for additional data file.
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Journal:  Emerg Med J       Date:  2003-07       Impact factor: 2.740

6.  Clinical study of acute childhood diarrhoea caused by bacterial enteropathogens.

Authors:  Vyas Kumar Rathaur; Monika Pathania; Aparna Jayara; Neeraj Yadav
Journal:  J Clin Diagn Res       Date:  2014-05-15

7.  Burden and aetiology of diarrhoeal disease in infants and young children in developing countries (the Global Enteric Multicenter Study, GEMS): a prospective, case-control study.

Authors:  Karen L Kotloff; James P Nataro; William C Blackwelder; Dilruba Nasrin; Tamer H Farag; Sandra Panchalingam; Yukun Wu; Samba O Sow; Dipika Sur; Robert F Breiman; Abu Sg Faruque; Anita Km Zaidi; Debasish Saha; Pedro L Alonso; Boubou Tamboura; Doh Sanogo; Uma Onwuchekwa; Byomkesh Manna; Thandavarayan Ramamurthy; Suman Kanungo; John B Ochieng; Richard Omore; Joseph O Oundo; Anowar Hossain; Sumon K Das; Shahnawaz Ahmed; Shahida Qureshi; Farheen Quadri; Richard A Adegbola; Martin Antonio; M Jahangir Hossain; Adebayo Akinsola; Inacio Mandomando; Tacilta Nhampossa; Sozinho Acácio; Kousick Biswas; Ciara E O'Reilly; Eric D Mintz; Lynette Y Berkeley; Khitam Muhsen; Halvor Sommerfelt; Roy M Robins-Browne; Myron M Levine
Journal:  Lancet       Date:  2013-05-14       Impact factor: 79.321

8.  Enteropathogens detected in a daycare center, Southeastern Brazil: bacteria, virus, and parasite research.

Authors:  Edna Donizetti Rossi Castro; Marcela Cristina Braga Yassaka Germini; Joana D'Arc Pereira Mascarenhas; Yvone Benchimol Gabbay; Ian Carlos Gomes de Lima; Patrícia dos Santos Lobo; Valéria Daltibari Fraga; Luciana Moran Conceição; Ricardo Luiz Dantas Machado; Andréa Regina Baptista Rossit
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2015 Jan-Feb       Impact factor: 1.846

9.  Bacterial and viral etiology of childhood diarrhea in Ouagadougou, Burkina Faso.

Authors:  Isidore Juste O Bonkoungou; Kaisa Haukka; Monica Österblad; Antti J Hakanen; Alfred S Traoré; Nicolas Barro; Anja Siitonen
Journal:  BMC Pediatr       Date:  2013-03-19       Impact factor: 2.125

10.  Community-acquired diarrhea among children and adults in urban settings in Senegal: clinical, epidemiological and microbiological aspects.

Authors:  Bissoume Sambe-Ba; Emmanuelle Espié; Mamadou Elimane Faye; Lassina Gadi Timbiné; Mbacké Sembene; Amy Gassama-Sow
Journal:  BMC Infect Dis       Date:  2013-12-09       Impact factor: 3.090

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  19 in total

1.  Specialized Proresolving Mediators Rescue Infant Mice from Lethal Citrobacter rodentium Infection and Promote Immunity against Reinfection.

Authors:  Luis Alonso Diaz; Norman H Altman; Wasif N Khan; Charles N Serhan; Becky Adkins
Journal:  Infect Immun       Date:  2017-09-20       Impact factor: 3.441

2.  Prevalence of Enteropathogens in Outpatients with Acute Diarrhea from Urban and Rural Areas, Southeast China, 2010-2014.

Authors:  Chong Chen; Li-Ping Wang; Jian-Xing Yu; Xiao Chen; Ruo-Nan Wang; Xian-Zhi Yang; Shu-Fa Zheng; Fei Yu; Zi-Ke Zhang; Si-Jia Liu; Zhong-Jie Li; Yu Chen
Journal:  Am J Trop Med Hyg       Date:  2019-08       Impact factor: 2.345

3.  Intestinal Parasitic Infections Among Pediatric Patients in a Metropolitan City of Bangladesh With Emphasis on Cryptosporidiosis.

Authors:  Nusrat Jahan Nipa; Nasima Aktar; Hasina M Hira; Farhana Akter; Dilshad Jahan; Salequl Islam; Ayukafangha Etando; Adnan Abdullah; Kona Chowdhury; Rahnuma Ahmad; Ahsanul Haq; Mainul Haque
Journal:  Cureus       Date:  2022-07-16

4.  Molecular and Phylogenetic Characterization of Non-O157 Shiga Toxin-Producing Escherichia coli Strains in China.

Authors:  Xiangning Bai; Bin Hu; Yanmei Xu; Hui Sun; Ailan Zhao; Pengbin Ba; Shanshan Fu; Ruyue Fan; Yujuan Jin; Hong Wang; Qiusheng Guo; Xuebin Xu; Shan Lu; Yanwen Xiong
Journal:  Front Cell Infect Microbiol       Date:  2016-11-02       Impact factor: 5.293

5.  Prevalence and Molecular Characterization of Campylobacter spp. Isolated from Patients with Diarrhea in Shunyi, Beijing.

Authors:  Ying Li; Shuang Zhang; Mu He; Yanchun Zhang; Yanyan Fu; Hao Liang; Hongbo Jing; Yindong Li; Hongmei Ma; Maojun Zhang
Journal:  Front Microbiol       Date:  2018-01-26       Impact factor: 5.640

6.  Prevalence of Yersinia enterocolitica Bioserotype 3/O:3 among Children with Diarrhea, China, 2010-2015.

Authors:  Ran Duan; Junrong Liang; Jing Zhang; Yuhuang Chen; Jing Wang; Jing Tong; Bangcheng Guo; Wanfu Hu; Mingliu Wang; Jiayong Zhao; Chang Liu; Huijing Hao; Xin Wang; Huaiqi Jing
Journal:  Emerg Infect Dis       Date:  2017-09       Impact factor: 6.883

7.  Community-acquired Escherichia coli Enteritis in Korean Children: The Clinical Application of a Stool Polymerase Chain Reaction Assay.

Authors:  Youie Kim; Hyo Jin Kim; Sooyeon Lim; Kil Seong Bae; Seung Beom Han; Dae Chul Jeong; Jin Han Kang; Gook Jae Shin; Gun Dong Lee; Yeon Joon Park
Journal:  Infect Chemother       Date:  2017-12

8.  Shiga Toxin-Producing Escherichia coli in Plateau Pika (Ochotona curzoniae) on the Qinghai-Tibetan Plateau, China.

Authors:  Xiangning Bai; Wang Zhang; Xinyuan Tang; Youquan Xin; Yanmei Xu; Hui Sun; Xuelian Luo; Ji Pu; Jianguo Xu; Yanwen Xiong; Shan Lu
Journal:  Front Microbiol       Date:  2016-03-22       Impact factor: 5.640

9.  Characteristics of bacterial pathogens associated with acute diarrhea in children under 5 years of age: a hospital-based cross-sectional study.

Authors:  Lei Tian; Xuhui Zhu; Zhongju Chen; Weiyong Liu; Song Li; Weiting Yu; Wenqian Zhang; Xu Xiang; Ziyong Sun
Journal:  BMC Infect Dis       Date:  2016-06-07       Impact factor: 3.090

10.  Viral and Bacterial Etiology of Acute Diarrhea among Children under 5 Years of Age in Wuhan, China.

Authors:  Xu-Hui Zhu; Lei Tian; Zhong-Ju Cheng; Wei-Yong Liu; Song Li; Wei-Ting Yu; Wen-Qian Zhang; Xu Xiang; Zi-Yong Sun
Journal:  Chin Med J (Engl)       Date:  2016-08-20       Impact factor: 2.628

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