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Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...

Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

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Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

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Psoriasis and Microbiota: A Systematic Review.

Farida Benhadou¹, Dillon Mintoff², Benjamin Schnebert³

¹Dermatology Department, Erasme Hospital, Université Libre de Bruxelles, Route de Lennik 808, Anderlecht, 1070 Brussels, Belgium. farida.benhadou@erasme.ulb.ac.be.

Diseases (Basel, Switzerland)

|June 6, 2018

Summary

The skin microbiota differs in psoriasis patients, influencing disease development and treatment effectiveness. Further research is needed to confirm the direct link and explore microbiota modulation for better psoriasis management.

Keywords:

microbiota prebiotics probiotics psoriasis

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Area of Science:

Dermatology
Microbiology
Immunology

Background:

The skin microbiota plays a significant role in chronic inflammatory diseases and impacts therapeutic efficacy.
Psoriasis, a chronic inflammatory skin condition, exhibits a distinct skin microbiota compared to healthy skin.

Purpose of the Study:

To review and discuss the role of skin and gut microbiota in the pathogenesis of psoriasis.
To redefine the understanding of microbiota's contribution to psoriasis development.

Main Methods:

Extensive literature review of studies on skin and gut microbiota in relation to psoriasis.
Analysis of existing research to synthesize current knowledge.

Main Results:

The skin microbiota composition is altered in individuals with psoriasis.
The gut microbiota is also implicated in the pathophysiology of psoriasis.
A direct causal link between skin microbiota and psoriasis pathogenesis requires further establishment.

Conclusions:

While the direct link is not fully established, the skin microbiota is implicated in psoriasis.
Modulating the microbiota may improve psoriasis outcomes and enhance treatment efficacy.
Targeting the microbiota could potentially reduce side effects of psoriasis therapies.