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PubMed2000

The relationship between apolipoprotein AI-containing lipoprotein fractions and environmental factors: the prospective epidemiological study of myocardial infarction (PRIME study).

Apolipoprotein (apo) AI is distributed within high-density lipoproteins (HDL) between different types of particles, one containing both apoAI and apoAII (LpAI:AII), the other containing no apoAII (LpAI). We investigated the associations between LpAI and LpAI:AII with several factors such as body mass index (BMI), waist to hip ratio (WHR), alcohol intake, cigarette consumption and physical activity, in three French and one Northern Irish male populations included in a prospective study (PRIME study). LpAI and LpAI:AII were associated with variations in all environmental factors, except LpAI:AII, which was not associated with WHR. These relationships were unchanged after adjustment for other environmental factors, but slightly modified after adjustment for triglyceride levels. LpAI decreased when BMI, WHR and cigarette smoking increased, and increased with alcohol consumption and physical activity. LpAI:AII had a similar variation except for the absence of LpAI:AII modification associated with WHR variation. The associations between LpAI and BMI, alcohol consumption and cigarette smoking were largely dependent on HDL-cholesterol as indicated by the lack of any significance when the adjustment for HDL-cholesterol was made. Conversely, after adjustment for HDL-cholesterol, the significant association between LpAI:AII and BMI disappeared, while the associations between LpAI:AII and alcohol consumption, cigarette smoking and physical activity remained significant. These results suggest that the mechanisms of LpAI and LpAI:AII modulations differ according to each environmental factor, some dependent on the lipid content of lipoproteins and others not, but LpAI and LpAI:AII levels seem independent of triglyceride concentration.

Alcohol Drinking↗

PubMed2002

Effect of age and genetic group on characteristics of the scrotum, testes and testicular vascular cones, and on sperm production and semen quality in AI bulls in Brazil.

The objectives were to determine the effects of age and genetic group on characteristics of the scrotum, testes and testicular vascular cones (TVC), and on sperm production and semen quality in 107 Bos indicus, B. taurus and cross-bred bulls at three artificial insemination (AI) centers in Brazil. In addition, predictors of sperm production and semen quality were identified. In general, scrotal circumference (SC), scrotal shape score, scrotal neck perimeter, and testicular size (length, width and volume) increased (P < 0.05) with age. Although there were no significant differences among genetic groups for SC or testicular size, B. indicus bulls had the least pendulous scrotal shape, the shortest scrotal neck length, and the greatest scrotal neck perimeter (P < 0.05). Fat covering the TVC was thinner (P < 0.05) in bulls < or = 36 months of age and in B. taurus bulls than in older bulls and B. indicus bulls, respectively. Age and genetic group did not affect testicular ultrasonic echotexture. B. indicus bulls tended (P < 0.1) to have the lowest average scrotal surface temperature (SST). In general, ejaculate volume, total number of spermatozoa and number of viable spermatozoa increased (P < 0.05) with age. However, there was no significant effect of age on sperm concentration, motility, major and total defects. The proportion of spermatozoa with minor defects was highest (P < 0.05) in bulls 37-60 months of age. B. indicus bulls had higher (P < 0.01) sperm concentration, total number of spermatozoa and number of viable spermatozoa than B. taurus bulls, with intermediate values for cross-bred bulls. Increased sperm production was associated with increased testicular volume, SC, TVC fat cover, and SST top-to-bottom gradient. Decreased semen quality was associated with increased SC and bottom SST, and decreased scrotal shape, scrotal neck perimeter and vascular cone diameter. In summary, age and genetic group affected the characteristics of the scrotum, testes, and TVC, sperm production and semen quality. In addition, characteristics of the scrotum, testes and TVC were associated with sperm production and semen quality in bulls and could be assessed for breeding soundness evaluation.

Aging↗

PubMed2003

A progesterone-based timed AI protocol more effectively prevents premature estrus and incomplete luteal regression than an Ovsynch protocol in lactating Holstein cows.

The objective of this study was to evaluate pregnancy rates in lactating Holstein cows treated with an Ovsynch protocol (GnRH-PGF(2alpha)-GnRH) or a progesterone-based timed AI (TAI) protocol, and to determine the factors that may influence pregnancy rate following protocol treatment. In experiment 1, lactating Holstein cows were randomly assigned to three treatments: (1) an injection of GnRH (Day 0), an injection of PGF(2alpha) on Day 7, a second injection of GnRH on Day 9, and TAI 16h after the second GnRH injection (GPG group, n = 34); (2) insertion of a CIDR intravaginal progesterone (1.9g) device combined with a capsule containing 10mg estradiol benzoate (Day 0), an injection of PGF(2alpha) and removal of the device on Day 7, an injection of GnRH on Day 9, and TAI 16h after the GnRH injection (CPG group, n = 34); (3) an injection of PGF(2alpha) after confirming the presence of CL by ultrasonographical observation and artificial insemination at estrus (AIE) (P group, n = 75). The pregnancy rate after TAI following the CPG protocol (41.2%) was higher (P<0.05) than that after TAI following the GPG protocol (20.6%) and that after AIE (20.0%). In experiment 2, lactating Holstein cows were randomly assigned to two treatments: a GPG group (n = 31) and a CPG group (n = 31). The GPG and CPG protocols were identical to those used in experiment 1. The proportion of cows with premature estrus prior to injection of PGF(2alpha) and with incomplete luteal regression tended (P = 0.056) to be or were greater (P<0.05) in the GPG group (4/31, 8/31) than in the CPG group (0/31, 2/31), respectively. Average diameters of dominant follicles (1.5+/-0.1mm versus 1.4+/-0.1mm) on Day 7 and preovulatory follicles (1.8+/-0.1mm versus 1.6+/-0.1mm) on Day 9, and the proportion of cows with synchronized ovulation by 40h after the second GnRH injection were not different (81.5% versus 87.1%, P>0.05) between groups, respectively. We conclude that the pregnancy rate after TAI following the CPG protocol was higher than that after TAI following the GPG protocol, probably due to a decreased incidence of premature estrus and incomplete luteal regression.

Administration, Intravaginal↗

PubMedDate not supplied

Decreased high-density lipoprotein cholesterol and serum apolipoprotein AI concentrations are highly correlated with the severity of Alzheimer's disease.

Serum apolipoprotein (apo) AI concentration was studied in 98 Alzheimer's disease (AD) patients (77.56+/-8.83 years) and 59 healthy, elderly controls (75.37+/-5.27 years). ApoAI levels were significantly lower (p<10(-7)) in AD patients. An apoAI cutoff value of 1.50 g/L, could distinguish between the two groups with a sensitivity of 71% and a specificity of 69%. ApoAI levels were highly correlated with mini-mental state (MMSE) scores of patients (p<0.0001). These relationships remained significant after adjustment for multiple testing. Our findings raise the question of the potential implication of apoAI in the etiopathology of AD and bring serum apoAI concentration to the fore as an important biochemical marker.

Aged↗

PubMedDate not supplied

On the use and usefulness of fuzzy sets in medical AI.

Since its inception fuzzy set theory has been regarded as a formalism suitable to deal with the imprecision intrinsic to many medical problems. Based on a literature survey on the first 30 years, we investigate the impact fuzzy set theory has had on the work in medical AI and point out what it is most appreciated for.

Artificial Intelligence↗

PubMed2003

Complement-receptor-3 and scavenger-receptor-AI/II mediated myelin phagocytosis in microglia and macrophages.

Microglia and macrophages express the alpha(M)/beta(2) integrin complement-receptor-3 (CR3/MAC-1; CD11b/CD18) and scavenger-receptor-AI/II (SRAI/II). Both can mediate myelin phagocytosis. We document that CR3/MAC-1 mediated myelin phagocytosis in microglia is modulated by complement and anti-CR3/MAC-1 mAbs. Complement augmented phagocytosis twofold. Anti-alpha(M) mAbs M1/70 and 5C6 inhibited and anti-beta(2) mAb M18/2 augmented myelin phagocytosis in the presence and absence of active complement. Active complement modulated phagocytosis inhibition by M1/70 and 5C6 and phagocytosis augmentation by M18/2. CR3/MAC-1 mediated myelin phagocytosis may thus be, at least partially, independent of but modulated by complement. Anti-beta(2) mAb Game-46 did not affect phagocytosis. However, combining M18/2 with Game-46 resulted in phagocytosis augmentation that was larger in magnitude than that induced by M18/2 alone. Thus, phagocytosis augmentation induced by one anti-beta(2) mAb was potentiated by another anti-beta(2) mAb. Combining M1/70 or 5C6 with M18/2 inhibited M18/2-induced augmentation. Overall, mAbs-induced phagocytosis modulation ranged three- to sevenfold from inhibition to augmentation. Anti-CR3/MAC-1 mAbs may reveal a mechanism by which native extracellular molecules bind to and modulate CR3/MAC-1 mediated myelin phagocytosis in microglia and macrophages. We further document SRAI/II mediated myelin phagocytosis in microglia and CR3/MAC-1 contributing to myelin phagocytosis two- to threefold more than SRAI/II when the two receptors function together.

Animals↗

PubMed2001

Stably transfected ABCA1 antisense cell line has decreased ABCA1 mRNA and cAMP-induced cholesterol efflux to apolipoprotein AI and HDL.

Using a sensitive real time fluorescent PCR assay, ABCA1 mRNA levels were induced by approximately 50-70-fold following 8Br-cAMP treatment of the RAW264 murine macrophage cell line, concomitant with the induction of cholesterol efflux to apoAI and HDL. A stably transfected ABCA1 antisense cDNA cell line was created, which led to approximately 50-70% reductions in ABCA1 mRNA levels in basal and 8Br-cAMP-treated cells, and diminished to the same extent the 8Br-cAMP-mediated efflux of cholesterol to apolipoprotein AI and HDL. These data demonstrate that ABCA1 is necessary for the cAMP-induced lipid efflux to both apoAI and HDL.

ATP Binding Cassette Transporter 1↗

PubMed2002

Genetic and environmental determinants of plasma high density lipoprotein cholesterol and apolipoprotein AI concentrations in healthy middle-aged men.

The effects of common variants of cholesteryl ester transfer protein (CETP) (TaqIB), hepatic lipase (HL) (-514C>T), lipoprotein lipase (LPL) (S447X) and lecithin cholesterol acyl transferase (LCAT) (S208T) on the determination of high density lipoprotein cholesterol (HDL-C) and apolipoprotein AI (apoAI) levels were examined in 2773 healthy middle-aged men participating in the second Northwick Park Heart Study. The extent of gene:gene, gene:smoking and gene:alcohol interactions were determined. For HDL-C levels, only CETP genotype was associated with significant effects (p&0.0001), with the B2 allele being associated with higher levels in both smokers and non-smokers. This interaction was significant at the lowest tertile of TG, suggesting that TG levels were rate limiting. As previously reported, CETP, LPL and HL genotypes were all associated with significant effects on apoAI levels (all p&0.01), with carriers of the rare alleles having higher levels and with no evidence of heterogeneity of effects in smokers and non-smokers. LCAT genotype was not associated with significant effects on either trait. There was no significant interaction between any of the genotypes and alcohol consumption on either HDL-C or apoAI levels. All genotypic effects were additive for HDL-C and apoAI. Environmental and TG levels explained more than 20% and 5.5% of the variance in HDL-C and apoAI, respectively. The novel aspect of this finding is that genetic variation at these loci explained in total only 2.5% of the variance in HDL-C and 1.89% of the variance in apoAI levels. Thus despite the key roles played by these enzymes in HDL metabolism, variation at these loci, at least as detected by these common genotypes, contributes minimally to the variance in HDL-C and apoAI levels in healthy men, highlighting the polygenic and multifactorial control of HDL-C.

Alcohol Drinking↗

PubMed1992

Automated rate nephelometric determination of apolipoproteins AI and B in human serum by consecutive addition of antibodies.

A precise, rapid, automated, rate nephelometric immunoassay for apolipoprotein AI (APA) and apolipoprotein B (APB) is described. Both analytes are determined by a "one-pot" procedure which uses consecutive addition of the corresponding antibodies. Poly(oxyethylene) type nonionic surfactants are used to selectively inhibit the APB reaction after the maximum reaction rate has been reached and to enhance the APA immunoreactivity. The assay range for APA is 0.3-3.8 g/L and for APB 0.2-3.0 g/L. The new assay was compared to commercial rate nephelometric methodology. Both methods were shown to be mutually unbiased for APA and APB determinations in human serum.

Antibodies↗

PubMed1989

Activation of immobilized, biotinylated choleragen AI protein by a 19-kilodalton guanine nucleotide-binding protein.

Cholera toxin catalyzes the ADP-ribosylation that results in activation of the stimulatory guanine nucleotide-binding protein of the adenylyl cyclase system, known as Gs. The toxin also ADP-ribosylates other proteins and simple guanidino compounds and auto-ADP-ribosylates its AI protein (CTA1). All of the ADP-ribosyltransferase activities of CTAI are enhanced by 19-21-kDa guanine nucleotide-binding proteins known as ADP-ribosylation factors, or ARFs. CTAI contains a single cysteine located near the carboxy terminus. CTAI was immobilized through this cysteine by reaction with iodoacetyl-N-biotinyl-hexylenediamine and binding of the resulting biotinylated protein to avidin-agarose. Immobilized CTAI catalyzed the ARF-stimulated ADP-ribosylation of agmatine. The reaction was enhanced by detergents and phospholipid, but the fold stimulation by purified sARF-II from bovine brain was considerably less than that observed with free CTA. ADP-ribosylation of Gsa by immobilized CTAI, which was somewhat enhanced by sARF-II, was much less than predicted on the basis of the NAD:agmatine ADP-ribosyltransferase activity. Immobilized CTAI catalyzed its own auto-ADP-ribosylation as well as the ADP-ribosylation of the immobilized avidin and CTA2, with relatively little stimulation by sARF-II. ADP-ribosylation of CTA2 by free CTAI is minimal. These observations are consistent with the conclusion that the cysteine near the carboxy terminus of the toxin is not critical for ADP-ribosyltransferase activity or for its regulation by sARF-II. Biotinylation and immobilization of the toxin through this cysteine may, however, limit accessibility to Gsa or SARF-II, or perhaps otherwise reduce interaction with these proteins whether as substrates or activator.

Biotin↗

PubMed2006

Inhibition of apolipoprotein AI gene expression by tumor necrosis factor alpha: roles for MEK/ERK and JNK signaling.

Plasma high-density lipoprotein and apolipoprotein AI (apoAI) levels are suppressed by tumor necrosis factor alpha. To determine the molecular mechanisms responsible for the effect of TNF alpha on the apoAI promoter activity, HepG2 cells were exposed to both genetic and pharmacological modulators of TNF alpha-mediated signaling in the presence or absence of TNF alpha. Exogenous ERK1 and ERK2 expression suppressed basal apoAI promoter activity; however, only ERK2 enhanced the ability of TNF alpha to suppress apoAI promoter activity. Exogenous expression of all three MEK isoforms (MEK1, MEK2A, and MEK2E) suppressed basal apoAI promoter activity and further aggravated TNF alpha-related apoAI promoter activity inhibition. Treatment with SB202190 (p38 MAP kinase inhibitor) alone significantly increased apoAI promoter activity; however, in the presence of TNF alpha, apoAI promoter activity was suppressed to an extent similar to that in cells not treated with SB202190. ApoAI promoter activity increased in cells treated with the specific JNK inhibitor SP600125, but unlike SB202190 treatment, the level of TNF alpha-related apoAI promoter inhibition was reduced by 50%. Similarly, the level of TNF alpha-related apoAI promoter inhibition was reduced in cells transfected with JNK1 siRNA. Finally, treatment of cells with the NF-kappaB inhibitors BAY and SN-50 or overexpression of NF-kappaB subunits p50 and p65 had no effect on the ability of TNF alpha to repress apoAI promoter activity. These results suggest that TNF alpha suppresses apoAI promoter activity through both the MEK/ERK and JNK pathways but is not mediated by either p38 MAP kinase activity or NF-kappaB activation.

Anthracenes↗

PubMedDate not supplied

Atomic-level-based AI topological descriptors for structure-property correlations.

Multiple linear regression (MLR) analysis is used to construct the structure-boiling point models for 71 sulfur-containing organic compounds in terms of the Xu index and atomic level AI indices. The potential of these descriptors is further verified by three high quality QSPR models obtained for two subsets of compounds and a combined set of all compounds. For these subsets, containing respectively 45 sulfides and 26 thiols, the best three-parameter models are obtained, and the best four-variable model is obtained for the whole data set of 71 compounds. The correlation coefficients r are larger than 0.997 in all three final models. The standard errors s are 3.14, 2.48, and 3.48 degrees C for the sulfide subset, the thiol subset, and the whole data set, respectively. Furthermore, the results indicate that the boiling points are dominated by the molecular size, but some atomic types in a molecule are important due to interactions between atomic groups of the molecules. Both the molecular size and atomic types related to different fundamental interactions provide the separate contributions to boiling points. Finally, the three final models are further validated to be statistically significant and reliable by the leave-one-out cross-validation method.

Journal Article↗

PubMedDate not supplied

Atom-type-based AI topological descriptors: application in structure-boiling point correlations of oxo organic compounds.

Structure-boiling point relationships are studied for a series of oxo organic compounds by means of multiple linear regression (MLR) analysis. Excellent MLR models based on the recently introduced Xu index and the atom-type-based AI indices are obtained for the two subsets containing respectively 77 ethers and 107 carbonyl compounds and a combined set of 184 oxo compounds. The best models are tested using the leave-one-out cross-validation and an external test set, respectively. The MLR model produces a correlation coefficient of r = 0.9977 and a standard error of s = 3.99 degrees C for the training set of 184 compounds, and r(cv) = 0.9974 and s(cv) = 4.16 degrees C for the cross-validation set, and r(pred) = 0.9949 and s(pred) = 4.38 degrees C for the prediction set of 21 compounds. For the two subsets containing respectively 77 ethers and 107 carbonyl compounds, the quality of the models is further improved. The standard errors are reduced to 3.30 and 3.02 degrees C, respectively. Furthermore, the results obtained from this study indicate that the boiling points of the studied oxo compound dominantly depend on molecular size and also depend on individual atom types, especially oxygen heteroatoms in molecules due to strong polar interactions between molecules. These excellent structure-boiling point models not only provide profound insights into the role of structural features in a molecule but also illustrate the usefulness of these indices in QSPR/QSAR modeling of complex compounds.

Journal Article↗

PubMed2003

New atom-type-based AI topological indices: application to QSPR studies of aldehydes and ketones.

Multiple linear regression (MLR) analysis based on a combined use of the modified Xu index and the atom-type based AI indices is performed to construct quantitative structure-property models on several data sets of organic compounds including aliphatic aldehydes and/or ketones. For each of the physical properties (the normal boiling points, molar refractions, gas heat capacities at 25 degrees C, water solubility at 25 degrees C, and n-octanol/water partition coefficient at 25 degrees C), high quality QSPR models are obtained, particularly the decrease in the standard error is within the range of 23.6-75.9% relative to the linear models with the modified Xu index alone. For individual subsets containing only aldehydes or ketones, in the majority of cases the quality of the model can be further improved. The significant improvement verifies the efficiency of the present approach and also indicates the usefulness of these indices for application to a wide range of physical properties. The results indicate that the physical properties studied are dominated by molecular size but atom types have smaller influences, especially the oxygen atom seems to be most important due to intermolecular polar interactions. The final models are validated to be statistically reliable using the leave-one-out cross-validation and/or an external test set.

Aldehydes↗

PubMed1984

Physiological plasticity of single neurons in auditory cortex of the cat during acquisition of the pupillary conditioned response: I. Primary field (AI).

The effects of conditioning on the discharges of single neurons in primary auditory cortex (AI) were determined during acquisition of the pupillary conditioned response in chronically prepared cats. Acoustic stimuli (1-s white noise or tone) were presented with electrodermal stimulation unpaired during a sensitization control phase followed by pairing during a subsequent conditioning phase. Stimulus constancy at the periphery was ensured by the use of neuromuscular blockade. Discharge plasticity developed rapidly for both evoked and background activity, the former attaining criterion faster than the latter. The pupillary dilation conditioned response was acquired at the same rate as were changes in evoked activity (i.e., 10-15 trials) and faster than background activity (i.e., 20-25 trials). Increases in background activity were correlated with increasing level of tonic arousal, as indexed by pretrial size of the pupil.

Animals↗

PubMed1991

Inhibition of early atherogenesis in transgenic mice by human apolipoprotein AI.

Epidemiological surveys have identified a strong inverse relationship between the amount in the plasma of high density lipoproteins (HDL), apolipoprotein AI (ApoA-I), the major protein component of HDL, and the risk for atherosclerosis in humans. It is not known if this relationship arises from a direct antiatherogenic effect of these plasma components or if it is the result of other factors also associated with increases in ApoA-I and HDL levels. Because some strains of mice are susceptible to diet-induced formation of preatherosclerotic fatty streak lesions, and because of available techniques for the genetic manipulation of this organism, the murine system offers a unique setting in which to investigate the process of early atherogenesis. To test the hypothesis that induction of a high plasma concentration of ApoA-I and HDL would inhibit this process, we studied the effects of atherogenic diets on transgenic mice expressing high amounts of human ApoA-I. We report that transgenic mice with high plasma ApoA-I and HDL levels were significantly protected from the development of fatty streak lesions.

Animals↗

PubMed2026

AI-genomics synergy for drug repurposing in breast cancer: an interpretability-driven framework.

Breast cancer's genomic heterogeneity complicates drug discovery, making repurposing an attractive but challenging strategy. Advances in artificial intelligence now enable integration of multi-omics data to reveal drug-gene-disease relationships and generate subtype-specific repurposing hypotheses. In this Review, we examine AI-driven computational approaches from signature-based to multi-modal frameworks and propose an integrated interpretability-driven framework linking mechanistic validation with clinical translation toward more transparent and actionable precision oncology.

Journal Article↗

PubMed2025

AI-driven multi-omics modeling of myalgic encephalomyelitis/chronic fatigue syndrome.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic illness with a multifactorial etiology and heterogeneous symptomatology, posing major challenges for diagnosis and treatment. Here we present BioMapAI, a supervised deep neural network trained on a 4-year, longitudinal, multi-omics dataset from 249 participants, which integrates gut metagenomics, plasma metabolomics, immune cell profiling, blood laboratory data and detailed clinical symptoms. By simultaneously modeling these diverse data types to predict clinical severity, BioMapAI identifies disease- and symptom-specific biomarkers and classifies ME/CFS in both held-out and independent external cohorts. Using an explainable AI approach, we construct a unique connectivity map spanning the microbiome, immune system and plasma metabolome in health and ME/CFS adjusted for age, gender and additional clinical factors. This map uncovers altered associations between microbial metabolism (for example, short-chain fatty acids, branched-chain amino acids, tryptophan, benzoate), plasma lipids and bile acids, and heightened inflammatory responses in mucosal and inflammatory T cell subsets (MAIT, γδT) secreting IFN-γ and GzA. Overall, BioMapAI provides unprecedented systems-level insights into ME/CFS, refining existing hypotheses and hypothesizing unique mechanisms-specifically, how multi-omics dynamics are associated to the disease's heterogeneous symptoms.

Humans↗