Related Experiment Video
Updated: Jan 20, 2026

09:49
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
Published on: September 25, 2021
4.8K
Do Changes in Oral Microbiota Correlate With Plasma Nitrite Response? A Systematic Review
Khrystyna Zhurakivska1, Giuseppe Troiano1, Vito Carlo Alberto Caponio1
1Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Frontiers in Physiology
|August 29, 2019
Summary
Antibacterial mouthwash use may reduce plasma nitrite levels, impacting nitric oxide (NO) regulation. Further research is needed to confirm the link between oral bacteria, NO, and overall health.
Area of Science:
- Microbiology
- Physiology
- Nutrition
Background:
- Nitric Oxide (NO) is vital for immune defense, blood flow, and mitochondrial function.
- Dietary nitrate (NO3-) and endogenous L-arginine are sources of NO.
- Oral and intestinal bacteria metabolize nitrate to nitric oxide (NO).
Conclusions:
- Oral bacteria play a role in salivary nitrate metabolism, but their effect on plasma NO species is unclear.
- Current evidence on oral microbiota's influence on plasma NO is ambiguous.
- Larger studies are required to confirm the impact of oral microbiota on nitrate/nitrite/NO levels and associated biological processes.
Related Concept Videos
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Review and Preview
8.3K
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...
Percentiles are a type of fractile that partition data into...
8.3K
Review and Preview
10.9K
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...
10.9K
Correlation and Causation
42.0K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.0K
Random and Systematic Errors
14.4K
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...
14.4K
Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K

