Distribution of Capsular Types of Campylobacter jejuni Isolates from Symptomatic and Asymptomatic Children in Peru

Jesús D Rojas1,2, Nathanael D Reynolds1, Brian L Pike3

  • 1Bacteriology Department, Naval Medical Research Unit-6 (NAMRU-6), Lima, Peru.

Insights

Capsular polysaccharide (CPS) type distribution in Peru differs from other regions, with HS4 complex being most prevalent. Understanding these variations is crucial for developing effective Campylobacter jejuni vaccines.

Area of Science:

  • Microbiology
  • Vaccinology
  • Epidemiology

Background:

  • Campylobacter jejuni is a primary cause of bacterial diarrhea globally.
  • A capsular polysaccharide (CPS) conjugate vaccine is in development, necessitating knowledge of circulating CPS types.
  • Global distribution data for Campylobacter jejuni CPS types is limited.

Purpose of the Study:

  • To investigate the distribution of Campylobacter jejuni CPS types in Peru.
  • To compare Peruvian CPS type distribution with other endemic regions.
  • To inform the valency determination for a Campylobacter jejuni CPS conjugate vaccine.

Main Methods:

  • Utilized a multiplex polymerase chain reaction (PCR) assay.
  • Detected CPS encoding genes for all 35 known CPS types.
  • Analyzed isolates from two prospective community-based studies in Peru involving children under 59 months.

Main Results:

  • The HS4 complex was the most prevalent CPS type, followed by HS3 complex and HS15.
  • No statistically significant differences in symptomatology were associated with CPS type.
  • Repeated infections with different CPS types suggest potential for homologous protective immunity.

Conclusions:

  • Campylobacter jejuni CPS type distribution in Peru shows some differences compared to other low-middle income countries.
  • Further research in endemic areas is needed to refine understanding of CPS type distribution.
  • This data is vital for guiding the development of Campylobacter jejuni vaccines.

Related Concept Videos

Data: Types and Distribution01:19

Data: Types and Distribution

In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
1.5K
Drug Distribution: Volume of Distribution01:25

Drug Distribution: Volume of Distribution

The volume of distribution refers to the theoretical volume necessary to contain the entire amount of an administered drug at the same concentration observed in the blood plasma. The body's intracellular fluid compartment, which makes up two-thirds of the total body water, is contrasted with the extracellular fluid compartment—comprising plasma and interstitial fluid—that accounts for one-third. The volume of distribution can vary depending on the characteristics of the drug.
7.3K
F Distribution01:19

F Distribution

The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
9.0K