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Effects of diet composition and fasting on glucose turnover in lean and polygenic obese mice.

Effects of high beef tallow (BT), high corn oil (CO) or low-fat (LF) diets upon the outcome of genetic obesity were investigated. Diets were instituted ad libitum at the time of weaning. When mice were six months of age, blood samples were taken 1, 5, 15, 30, and 60 minutes after intravenous injection of glucose-U-14C. Within dietary treatments, obese and lean mice showed similar plasma glucose-U-14C disappearance patterns. Plasma glucose disappearance always tended to be faster in ad libitum-fed mice relative to 24-hour fasted mice. Body glucose pool sizes tended to be larger in fed obese BT and LF mice compared to their lean counterparts. This pattern was not seen in non-fasted CO mice. Fasting caused a decrease in body glucose pool sizes in all mice. In contrast to CO and LF mice, lean BT mice appeared to conserve glucose during fasting the same as the obese line. Since the glucose disappearance curves can be described by a two-exponential decay function, at least a two-component or two-pool system must be involved in plasma glucose turnover. Calculated rate constants were used to express interchanges of carbon molecules between the glucose and glycogen pool and the net movement of glucose carbon to a carbon pool representing "irreversible end products". The data indicate that differences in glucose metabolism, in part, explain the possibility that dietary energy source can overcome the genetic tendency to leanness.

Animals↗

Genetic analysis of water maze discrimination learning for Mus musculus: polygenes and albinism.

Recombinant inbred strains, their progenitor strains and reciprocal F1 hybrids were given thirty spatial discrimination learning trials in the water maze. The pattern of RI strains in relation to the reciprocal F1 hybrids and the progenitor strains, and differences among strains, suggested that different sets of genes affect the various components of water maze discrimination learning. There was no evidence that the albino gene influenced either inferior or superior performance. Pigmented strains performed as well as, or better than, some albino strains, and albino strain BALB/cBy differed significantly from albino strains CXBG and CXBI. The two reciprocal F1 hybrids differed from blocks 2 and 3 of discrimination trials when swimming time was used a dependent variable. Thus, it appears that performance of the F1 hybrids was influenced by paternal effects, maternal effects, or paternal maternal interactions.

Albinism↗

Polygenic expression of somatostatin in lamprey.

Previous studies have led to the identification of three biosynthetically related molecular forms of somatostatin (somatostatin-14, -34 and -37) from the pancreas of the sea lamprey (Petromyzon marinus). We have now isolated from the brain of the same species a second form of somatostatin-14 that is identical to mammalian somatostatin-14 and differs from lamprey pancreatic somatostatin-14 by the substitution Ser12 to Thr. Larger forms of somatostatin were not identified in lamprey brain in this study. These data suggest that the two molecular forms of lamprey somatostatin-14 are the products of different genes that are expressed in a tissue-specific manner.

Amino Acid Sequence↗

No correlation between tumor markers and prognosis under polygenic control systems.

Tumor markers in serum should not be correlated with the prognosis of patients with malignant tumors, although the markers indicate the presence of tumors, since marker levels and prognosis are controlled independently by poly-genes. Furthermore, prognostic factors, including incidence of pulmonary metastasis, tumor growth rate, tumor drug sensitivity and host response, vary among patients. In general, tumor markers may be used to demonstrate response of tumor to treatments only when expression of the markers does not change in a time-dependent manner.

Biomarkers, Tumor↗

Polygenic control of susceptibility to murine systemic lupus erythematosus.

Susceptibility to glomerulonephritis (GN) and anti-dsDNA autoantibody production was analyzed in crosses with a newly developed systemic lupus erythematosus-susceptible inbred strain, NZM/Aeg2410. The mode of inheritance and the number and location of systemic lupus erythematosus-associated susceptibility loci were analyzed by interval mapping in a backcross with C57BL/6. Three chromosomal intervals containing strong recessive GN susceptibility alleles were identified on chromosomes 1, 4, and 7, each containing several potentially interesting candidate genes. Heterozygosity at H-2 was also found to correlate strongly with GN susceptibility, consistent with previous findings in the NZB/NZW parental strain model. Logistic regression analysis indicated that each of these susceptibility alleles independently accounted for a component of GN susceptibility, and that susceptibility was inherited as a threshold genetic liability in this model system.

Animals↗

Gene expression microarray studies in polygenic psychiatric disorders: applications and data analysis.

Gene expression microarrays have become a mainstream technology that can provide valuable insight into psychiatric disorders. Gene expression studies in post mortem brain samples of schizophrenia and bipolar disorder have the potential to yield novel clues about the pathophysiology of these complex trait disorders. In the present review, a short introduction of the genetic and molecular background of schizophrenia and bipolar disorder is followed by a discussion of the basic concept and limits of gene expression microarray technology, and the complexities surrounding the analysis of thousands of gene transcripts. Although this review is intended for use in most platforms, it has a particular focus on the commercially available Affymetrix system. Various computer programs and their principal features are discussed, and it is shown how these programs can be applied to reveal a biological context of microarray findings. I will demonstrate how the programs can help to judge the results rather than focus on their statistical principles. The strength of gene array experiments is their emphasis on broad, biological themes, rather than on specific genes, and proper biostatistical approaches are important to ensure reproducibility of the findings. All results should be verified by independent means. This review is intended to help brain researchers who want to apply gene expression microarray technology to conceptualize research strategies and sample analysis.

Biomedical Research↗

Multilocus analyses of estrogen-related genes reveal involvement of the ESR1 gene in male infertility and the polygenic nature of the pathology.

OBJECTIVE: To examine whether polymorphisms within the ESR1, FSHR, ESR2, CYP19A1, and NRIP1 genes are susceptibility factors for human male idiopathic infertility and to test the joint effects of these genes on male reproductive function. DESIGN: Genetic association study of male infertility with polymorphisms, using both single-gene and multilocus approaches. SETTING: Private and public fertility units and a private center for biomedical research. PATIENT(S): One hundred four Spanish men with azoospermia or severe oligozoospermia and 95 unselected race-matched healthy controls from the same geographic region. INTERVENTION(S): Peripheral blood extraction, DNA purification, and ESR1 g.938T>C, FSHR Ser680Asn, ESR2 *39A>G, CYP19A1 *19C>T, and NRIP1 Gly75Gly polymorphism analyses. MAIN OUTCOME MEASURE(S): Single-gene statistical analyses and multilocus statistical analyses with Sumstat, Permutation and Model-free analysis, and Estimating Haplotypes software. RESULT(S): We observed an excess of homozygous infertile men for the ESR1 g.938T>C marker. Multilocus analyses detected genetic interaction between the five candidate gene markers that are influential over male infertility. In addition, we detected a five-loci protector genetic pattern with a frequency of 9.4% in controls but absent in infertile men. CONCLUSION(S): Our results support a relevant role for the estrogenic pathway, notably the ESR1 gene, in human male reproductive function and advocate a complex trait model for male infertility.

Alleles↗

Polygenic expression of somatostatin in orange-spotted grouper (Epinephelus coioides): molecular cloning and distribution of the mRNAs encoding three somatostatin precursors.

In the present study, three preprosomatostatin (PSS) cDNAs were characterized from hypothalamus of orange-spotted grouper Epinephelus coioides. The first cDNA encodes a 123-amino acid protein (PSSI) that contains the SS14 sequence at its C-terminal extremity and that is identical to that of PSSI of human and other vertebrates. The second cDNA encodes a 127-amino acid protein (PSSII) that contains the SS28 sequence with [Tyr7, Gly10]-SS14 at its C-terminus. The third cDNA encodes a 110-amino acid protein (PSSIII) that contains the somatostatin variant [Pro2]-SS14 at its C-terminal extremity. All these three PSS mRNAs were expressed in brain and pituitary with different mRNA levels. In peripheral tissues, PSSII was more widely distributed than PSSI and PSSIII. High mRNA levels of PSS were found in stomach, intestine and ovary. PSS mRNAs were detected throughout embryogeny and early larval development. Its levels increased with the embryonic development and maintained a higher level during larva developing. The mRNA distribution suggests that the three grouper PSS products play important physiological functions in adult fish as well as in cell growth and organ differentiation in embryo and larva development.

Animals↗

Polygenic enrichment analysis in multi-omics levels identifies cell/tissue specific associations with schizophrenia based on single-cell RNA sequencing data.

OBJECTIVE: Understanding the specific cellular origin and tissue heterogeneity in schizophrenia is critically important for exploring the disease etiology. This study aims to investigate these aspects by performing multiple analyses based on omics data. METHOD: We performed single-cell disease relevance score (scDRS) algorithm to link brain single-cell RNA sequencing (scRNA-seq) with schizophrenia risk across multi-omics scales at single-cell resolution. This approach identified cell types with overexpression of schizophrenia-related genes implicated by multi-omics panels (ATAC-seq, RNA-seq, TWAS, and GWAS). Schizophrenia-related genes from these multi-omics panels were extracted and combined with scRNA-seq data to calculate scDRS. Subsequently, the cell-type vs. disease association and tissue heterogeneity were assessed using scDRS for each omics panel. RESULTS: We identified two novel cell subpopulations in the brain that differentially express SCUBE3 (59 cells, 7.0 %) and FN1 (21 cells, 2.5 %). At the individual cell level, schizophrenia-associated cell subpopulations included microglial cell associated with ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.009) and deep layer neuron suggestively associated with GWAS panel (Passociation = 0.033, Pheterogeneity = 0.017). At the brain tissue level, microglial cell was significantly associated with cortical plate in ATAC-seq panel (Passociation = 0.002, Pheterogeneity = 0.011). Gene level analysis identified several genes associated with schizophrenia across multi-omics panels. CONCLUSIONS: Our study outlines the signature of cell subpopulations, brain regions, and disease risk genes in schizophrenia at single-cell resolution across multi-omics scales. These findings provide a reference for future precision medicine approaches targeting specific cell types and brain regions in schizophrenia.

Schizophrenia↗

Polygenic influence on plasma homocysteine: association of two prevalent mutations, the 844ins68 of cystathionine beta-synthase and A(2756)G of methionine synthase, with lowered plasma homocysteine levels.

A moderately elevated plasma total homocysteine (tHcy), whether measured during fasting or post-methionine load (PML), is increasingly being recognized as a risk factor for coronary artery diseases (CAD). However, etiologies for moderately elevated plasma tHcy, particularly with regard to the role of genetic influence on plasma tHcy levels, are still not well understood. In the current investigation, we studied 1025 individuals with respect to the effect of the 68-bp insertion (844ins68 variant) of the cystathionine beta-synthase (CBS) gene, the A(2756)G transition of the B(12)-dependent methionine synthase (MS) gene and the C(677)T transition of the methylenetetrahydrofolate reductase (MTHFR) gene on fasting and 4 h PML tHcy. Of these individuals, 153 (14.9%) were heterozygous for the 68-bp insertion, 329 (32.1%) were heterozygous for the G(2756) allele and 122 (11.9%) were homozygous for the C(677)T transition. Individuals heterozygous for the insertion had significantly lower PML increase in tHcy concentrations, while individuals homozygous for the A(2756)G transition had significantly lower fasting tHcy levels. A 2-way ANOVA showed that there was no interaction between the 844ins68 and the A(2756)G transition for either fasting tHcy or PML increase in tHcy, confirming the fact that the effect of these two genotypes on plasma tHcy levels are additive. The effects are opposite but additive with the C(677)50% of all individuals in this study carried polymorphic traits, which predisposed them to either higher or lower plasma tHcy concentrations, thus providing new evidence of the importance of genetic influences as determinants of tHcy levels.

5-Methyltetrahydrofolate-Homocysteine S-Methyltran↗