scholarly journals Alteration in Gene Pair Correlations in Tryptophan Metabolism as a Hallmark in Cancer Diagnosis

2020 ◽  
Vol 13 ◽  
pp. 117864692097701
Author(s):  
Meena Kishore Sakharkar ◽  
Sarinder Kaur Dhillon ◽  
Karthic Rajamanickam ◽  
Benjamin Heng ◽  
Nady Braidy ◽  
...  
Keyword(s):  
Metabolic Pathway ◽  
Gene Pair ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Aldehyde Oxidase ◽  
Tryptophan Metabolism ◽  
Cancer Development ◽  
Strongly Correlated ◽  
Pair Correlations ◽  
Pairwise Correlation

Tryptophan metabolism plays essential roles in both immunomodulation and cancer development. Indoleamine 2,3-dioxygenase, a rate-limiting enzyme in the metabolic pathway, is overexpressed in different types of cancer. To get a better understanding of the involvement of tryptophan metabolism in cancer development, we evaluated the expression and pairwise correlation of 62 genes in the metabolic pathway across 12 types of cancer. Only gene AOX1, encoding aldehyde oxidase 1, was ubiquitously downregulated, Furthermore, we observed that the 62 genes were widely and strongly correlated in normal controls, however, the gene pair correlations were significantly lost in tumor patients for all 12 types of cancer. This implicated that gene pair correlation coefficients of the tryptophan metabolic pathway could be applied as a prognostic and/or diagnostic biomarker for cancer.

scholarly journals Gene Pair Correlation Coefficients in Sphingolipid Metabolic Pathway as a Potential Prognostic Biomarker for Breast Cancer

Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1747 ◽  
Author(s):  
Meena Kishore Sakharkar ◽  
Sarinder Kaur Dhillon ◽  
Saravana Babu Chidambaram ◽  
Musthafa Mohamed Essa ◽  
Jian Yang
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Metabolic Pathway ◽  
Gene Pair ◽  
Pair Correlation ◽  
Correlation Coefficients ◽  
Bioactive Molecules ◽  
Healthy Controls ◽  
Breast Cancer Patients ◽  
Gene Expressions

Complex diseases such as cancer are usually governed by dynamic and simultaneous modifications of multiple genes. Since sphingolipids are potent bioactive molecules and regulate many important pathophysiological processes such as carcinogenesis, we studied the gene pair correlations of 36 genes (31 genes in the sphingolipid metabolic pathway and 5 genes encoding the sphingosine-1-phosphate receptors) between breast cancer patients and healthy controls. It is remarkable to observe that the gene expressions were widely and strongly correlated in healthy controls but in general lost in breast cancer patients. This study suggests that gene pair correlation coefficients could be applied as a systematic and novel method for the diagnosis and prognosis of breast cancer.

scholarly journals The Relationship Between Vertical Loadrates and Tibial Acceleration Across Footstrike Patterns

2018 ◽  
Vol 3 (3) ◽  
pp. 2473011418S0020 ◽  
Author(s):  
Irene Davis ◽  
Todd Hayano ◽  
Adam Tenforde
Keyword(s):  
Impact Loading ◽  
Ground Reaction Force ◽  
Reaction Force ◽  
Force Plate ◽  
Correlation Coefficients ◽  
Strongly Correlated ◽  
Vertical Ground Reaction Force ◽  
Vertical Ground ◽  
Tibial Acceleration ◽  
The Relationship

Category: Other Introduction/Purpose: While the etiology of injuries is multifactorial, impact loading, as measured by the loadrate of the vertical ground reaction force has been implicated. These loadrates are typically measured with a force plate. However, this limits the measure of impacts to laboratory environments. Tibial acceleration, another measure of running impacts, is considered a surrogate for loadrate. It can be measured using new wearable technology that can be used in a runner’s natural environment. However, the correlation between tibial acceleration measured from mobile devices and vertical ground reaction force loadrates, measured from forceplates, is unknown. The purpose of this study was to determine the correlation between vertical and resultant loadrates to vertical and resultant tibial acceleration across different footstrike patterns (FSP) in runners. Methods: The study involved a sample of convenience made up of 169 runners (74 F, 95 M; age: 38.66±13.08 yrs) presenting at a running injury clinic. This included 25 habitual forefoot strike (FFS), 17 midfoot strike (MFS) and 127 rearfoot strike (RFS) runners. Participants ran on an instrumented treadmill (average speed 2.52±0.25 m/s), with a tri-axial accelerometer attached at the left distal medial tibia. Only subjects running with pain <3/10 on a VAS scale during the treadmill run were included to reduce the confounding effect of pain. Vertical average, vertical instantaneous and resultant instantaneous loadrates (VALR, VILR and RILR) and peak vertical and resultant tibial accelerations (VTA, RTA) were averaged for 8 consecutive left steps. Correlation coefficients (r) were calculated between tibial accelerations and loadrates. Results: All tibial accelerations were significantly correlated across all loadrates, with the exception of RTA with VILR for FFS (Table 1) which was nearly significant (p=0.068). Correlations ranged from 0.37-0.82. VTA was strongly correlated with all loadrates (r = 0.66). RTA was also strongly correlated with both loadrates for RFS and MFS, but only moderately correlated with loadrates for FFS (r = 0.47). Correlations were similar across the different loadrates (VALR, VILR, RILR). Conclusion: The stronger correlation between vertical tibial acceleration and all loadrates (VALR, VILR, RILR) suggests that it may be the best surrogate for loadrates when studying impact loading in runners.

scholarly journals Interrelationship of linear dimensions as growth corollary of pama croaker Otolithoides pama in the Bay of Bengal

2021 ◽  
Vol 32 (2) ◽  
pp. 287-292
Author(s):  
ZOARDER FARUQUE AHMED ◽  
MST. KANIZ FATEMA ◽  
UMME HABIBA AZ ZOHORA ◽  
MANSURA AKTER JOBA ◽  
FERDOUS AHAMED
Keyword(s):  
Bay Of Bengal ◽  
Correlation Coefficients ◽  
Future Research ◽  
Strongly Correlated ◽  
Regression Analyses ◽  
Allometric Growth ◽  
Linear Dimensions ◽  
Length Relationship ◽  
Gender Categories ◽  
Very High

Growth pattern of pama croaker Otolithoides pama population in the Bay of Bengal was determinedas the corollary of relationships between standard length (SL) and total length (TL), the two most prevalentlyused linear dimensions of fin fish species. Monthly pama croaker samples were collected from the industrialfisheries in the Bay of Bengal. The length-length relationship was constructed algebraically in the form ofy=a+bx. Relationships between SL and TL for male, female and unsexed populations were separatelyestablished. Sex ratio between male and female did not deviate from the parity (?2 test; p>0.05). The SL andTL ranges of male were 7.2-22 cm and 9.5-28 cm respectively, and the SL and TL ranges of female were6.8-20 cm and 8.4-25.7 cm respectively. Intercept and slope varied monthly in all length-length relationshipsregardless of gender categories. The generalized SL-TL relationships of male, female and unsexedpopulations were TL=1.214SL+0.761(R=0.989), TL=1.212SL-0.770(R=0.990) and TL=1.203SL+0.904(R=0.987) respectively. The correlation coefficients of both monthly and generalized regression analyses ofall sex types were very high (R?0.852) which explained that the relationships between the two lengthdimensions were strongly correlated. The growth corollary appeared both as isometric and allometric formonthly populations. Allometric growth was apparent in July, August and September in all gender types,while isometric growth was deduced in other months. This study would be useful for future research in orderto make comparisons with the relevant aspects of O. pama population between years and locations in the Bayof Bengal.

scholarly journals TrpNet: Understanding Tryptophan Metabolism across Gut Microbiome

Metabolites ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 10
Author(s):  
Yao Lu ◽  
Jasmine Chong ◽  
Shiqian Shen ◽  
Joey-Bahige Chammas ◽  
Lorraine Chalifour ◽  
...  
Keyword(s):  
Metabolic Pathway ◽  
Gut Microbiome ◽  
Bacterial Species ◽  
Tryptophan Metabolism ◽  
Indole Derivatives ◽  
Human Gut ◽  
Animal Development ◽  
Tryptophan Metabolites ◽  
Bayesian Logistic Regression ◽  
Human And Mouse

Crosstalk between the gut microbiome and the host plays an important role in animal development and health. Small compounds are key mediators in this host–gut microbiome dialogue. For instance, tryptophan metabolites, generated by biotransformation of tryptophan through complex host–microbiome co-metabolism can trigger immune, metabolic, and neuronal effects at local and distant sites. However, the origin of tryptophan metabolites and the underlying tryptophan metabolic pathway(s) are not well characterized in the current literature. A large number of the microbial contributors of tryptophan metabolism remain unknown, and there is a growing interest in predicting tryptophan metabolites for a given microbiome. Here, we introduce TrpNet, a comprehensive database and analytics platform dedicated to tryptophan metabolism within the context of host (human and mouse) and gut microbiome interactions. TrpNet contains data on tryptophan metabolism involving 130 reactions, 108 metabolites and 91 enzymes across 1246 human gut bacterial species and 88 mouse gut bacterial species. Users can browse, search, and highlight the tryptophan metabolic pathway, as well as predict tryptophan metabolites on the basis of a given taxonomy profile using a Bayesian logistic regression model. We validated our approach using two gut microbiome metabolomics studies and demonstrated that TrpNet was able to better predict alterations in in indole derivatives compared to other established methods.

Correlation Funktions of a System with Different Temperatures of the Particle Components

1964 ◽  
Vol 19 (13) ◽  
pp. 1447-1451 ◽  
Author(s):  
G. Ecker ◽  
W. Kröll
Keyword(s):  
Correlation Function ◽  
Electron Correlation ◽  
Pair Correlation ◽  
Bbgky Hierarchy ◽  
Ion Pair ◽  
Pair Correlations ◽  
The Poisson Equation ◽  
Average Potential ◽  
Different Temperatures ◽  
Dressed Particles

We consider a plasma consisting of particle components with different temperatures. The components are uniformly distributed in the configuration space and MAXWELLIAN in the velocity space. Pair correlations are assumed to be small and higher order correlations negligible. It is shown from the BBGKY-hierarchy that the influence of the electrons on the ion kinetics can be taken into account by treating the ions as dressed particles. The hierarchy for these dressed particles provides the ion-ion correlation function. The electron-ion pair correlation is calculated from the POISSON equation using the ion-ion correlation and relating the electron-ion pair distribution to the average potential. By the same procedure we derive the electron-electron correlation making use of the electron-ion correlation. The results are compared with those of other authors.

Interproduct Household Loyalty to Brands

1969 ◽  
Vol 6 (4) ◽  
pp. 434-435 ◽  
Author(s):  
Yoram Wind ◽  
Ronald E. Frank
Keyword(s):  
Correlation Coefficients ◽  
Purchasing Behavior ◽  
Buying Behavior ◽  
Pairwise Correlation ◽  
Household Characteristics ◽  
Grocery Products

This article reports pairwise correlation coefficients between 38 grocery products based on two different measures of household brand purchasing behavior. The modest magnitude of these coefficients implies that situation-specific as opposed to general household characteristics are the best candidates for predicting brand buying behavior within products.

scholarly journals Using woody genera for phytogeographic regionalization at a medium scale: a case study of Italy

Botany ◽  
2016 ◽  
Vol 94 (7) ◽  
pp. 533-542 ◽  
Author(s):  
Giovanna Abbate ◽  
Elisabetta Scassellati ◽  
Sandro Bonacquisti ◽  
Mauro Iberite ◽  
Marta Latini ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Strongly Correlated ◽  
Floristic Diversity ◽  
Sampling Strategies ◽  
Coarse Scale ◽  
Taxonomic Level ◽  
A Minor ◽  
Endemic Flora ◽  
East West

We present a phytogeographic regionalization based on native woody flora, identifying the most useful taxonomic level, geographic variables, and orographic pattern, selecting Italy as a case study. We generated seven distance matrices among the 20 administrative regions, and using Pearson’s correlation coefficients and PCA, we verified whether distances between regions were invariant across the different sampling strategies. Once this invariance was established, we focused on genera representation. We defined two orographic indices and performed Kruskal–Wish multidimensional scaling and K-means clustering to assess Italy’s phytogeographic regionalization. A major north–south and a minor east–west gradient described the relationships between regions. Floristic diversity was strongly correlated with the region’s orography, with hills being the most important orographic feature that increased plant diversity; the effect of the orographic patterns was independent from the geographic clines observed. Despite the coarse scale, our phytogeographic regionalization comprising six clusters (variables = 133 woody genera) was consistent with previous ones based on the endemic flora (variables = 1371 units) or on bioclimatic approaches. In particular, the phytogeographic uniqueness of Northern and peninsular Italy, and of Sardinia Island, was confirmed. The next step will be to test our method at a finer scale.

Subshell-pair correlation coefficients of atoms in momentum space

2005 ◽  
Vol 115 (4) ◽  
pp. 287-290 ◽  
Author(s):  
Hisashi Matsuyama ◽  
Toshikatsu Koga ◽  
Yoshihisa Kawata
Keyword(s):  
Momentum Space ◽  
Pair Correlation ◽  
Correlation Coefficients

Genetic and Environmental Causes of Variation in the Difference Between Biological Age Based on DNA Methylation and Chronological Age for Middle-Aged Women

2015 ◽  
Vol 18 (6) ◽  
pp. 720-726 ◽  
Author(s):  
Shuai Li ◽  
Ee Ming Wong ◽  
JiHoon E. Joo ◽  
Chol-Hee Jung ◽  
Jessica Chung ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Genetic Factors ◽  
Pair Correlation ◽  
Weighted Average ◽  
Biological Age ◽  
Sibling Pair ◽  
Chronological Age ◽  
Familial Correlation ◽  
Middle Aged ◽  
Pair Correlations

The disease- and mortality-related difference between biological age based on DNA methylation and chronological age (Δage) has been found to have approximately 40% heritability by assuming that the familial correlation is only explained by additive genetic factors. We calculated two different Δage measures for 132 middle-aged female twin pairs (66 monozygotic and 66 dizygotic twin pairs) and their 215 sisters using DNA methylation data measured by the Infinium HumanMethylation450 BeadChip arrays. For each Δage measure, and their combined measure, we estimated the familial correlation for MZ, DZ and sibling pairs using the multivariate normal model for pedigree analysis. We also pooled our estimates with those from a former study to estimate weighted average correlations. For both Δage measures, there was familial correlation that varied across different types of relatives. No evidence of a difference was found between the MZ and DZ pair correlations, or between the DZ and sibling pair correlations. The only difference was between the MZ and sibling pair correlations (p < .01), and there was marginal evidence that the MZ pair correlation was greater than twice the sibling pair correlation (p < .08). For weighted average correlation, there was evidence that the MZ pair correlation was greater than the DZ pair correlation (p < .03), and marginally greater than twice the sibling pair correlation (p < .08). The varied familial correlation of Δage is not explained by additive genetic factors alone, implying the existence of shared non-genetic factors explaining variation in Δage for middle-aged women.

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