PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “AI”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 595 records · Page 33Linked to original sources

Chymase in exocytosed rat mast cell granules effectively proteolyzes apolipoprotein AI-containing lipoproteins, so reducing the cholesterol efflux-inducing ability of serum and aortic intimal fluid.

Degranulated mast cells are present in human fatty streaks. Chymase in granules released from degranulated rat serosal mast cells, i.e., in granule remnants, proteolyzes human high density lipoprotein3 (HDL3), and so reduces its ability to induce cholesterol efflux from macrophage foam cells in vitro. In this study we found that remnant chymase, by proteolyzing human serum and human aortic intimal fluid, prevents these two physiologic fluids from effectively inducing cholesterol efflux from cultured macrophage foam cells. Inhibition was strongest when remnants were added to apolipoprotein AI (apoAI)-containing lipoproteins; the remnants had no effect on the weaker efflux produced by apoAI-deficient serum. Western blot analysis showed that granule remnants degrade apoAI in serum and in internal fluid. When released from remnants, chymase lost its ability to proteolyze HDL3 in the presence of serum. Thus, remnant chymase (but not isolated chymase) was able to resist the natural protease inhibitors present in serum and in intimal fluid. The results imply participation of exocytosed mast cell granules in foam cell formation in atherogenesis.

Animals↗

Hereditary hepatic and systemic amyloidosis caused by a new deletion/insertion mutation in the apolipoprotein AI gene.

We report a Spanish family with autosomal-dominant non-neuropathic hereditary amyloidosis with a unique hepatic presentation and death from liver failure, usually by the sixth decade. The disease is caused by a previously unreported deletion/insertion mutation in exon 4 of the apolipoprotein AI (apoAI) gene encoding loss of residues 60-71 of normal mature apoAI and insertion at that position of two new residues, ValThr. Affected individuals are heterozygous for this mutation and have both normal apoAI and variant molecules bearing one extra positive charge, as predicted from the DNA sequence. The amyloid fibrils are composed exclusively of NH2-terminal fragments of the variant, ending mainly at positions corresponding to residues 83 and 92 in the mature wild-type sequence. Amyloid fibrils derived from the other three known amyloidogenic apoAI variants are also composed of similar NH2-terminal fragments. All known amyloidogenic apoAI variants carry one extra positive charge in this region, suggesting that it may be responsible for their enhanced amyloidogenicity. In addition to causing a new phenotype, this is the first deletion mutation to be described in association with hereditary amyloidosis and it significantly extends the value of the apoAI model for investigation of molecular mechanisms of amyloid fibrillogenesis.

Adult↗

Intestinal transcription and synthesis of apolipoprotein AI is regulated by five natural polymorphisms upstream of the apolipoprotein CIII gene.

To understand the factors contributing to the synthesis of human apolipoprotein AI (apoAI), relative apoAI synthesis was measured from endoscopic biopsy samples obtained from 18 healthy volunteers. The relative amount of apoAI synthesis was directly correlated with steady state intestinal apoAI mRNA levels and a 10-fold within-group variability was observed. Analysis of genomic DNA from the subjects revealed five polymorphic sites which defined two haplotypes in the intestinal enhancer region of the apoAI gene located upstream of the apolipoprotein CIII gene transcriptional start site (+ 1): (-641 C to A, -630 G to A, -625 T to deletion, -482 C to T, and -455 T to C). The population frequencies of the wild-type and mutant alleles were 0.53 and 0.44, respectively. Mean steady state apoAI mRNA levels and mean relative apoAI synthesis were 49 and 37% lower, respectively, in homozygotes for the mutant allele and 28 and 41% lower, respectively, in heterozygotes than in homozygotes for the wild-type allele (P < 0.05 for both). Site-directed mutants of apoAI gene promoter/reporter constructs containing the above mutations were transfected into Caco-2 cells and showed a 46% decrease in transcriptional activity compared with the wild type (P < 0.001); however, no significant differences were observed in HepG2 cells. Electrophoretic mobility shift assays showed that the mutated sequences from -655 to -610 bound Caco-2 cell nuclear protein(s) while the wild type did not. These results indicate that intestinal apoAI gene transcription and protein synthesis are genetically determined and are reduced in the presence of common mutations which induced binding of nuclear protein(s), possibly a transcriptional repressor.

Adult↗

Should genetic groups be fitted in BLUP evaluation? Practical answer for the French AI beef sire evaluation.

Some analytical and simulated criteria were used to determine whether a priori genetic differences among groups, which are not accounted for by the relationship matrix, ought to be fitted in models for genetic evaluation, depending on the data structure and the accuracy of the evaluation. These criteria were the mean square error of some extreme contrasts between animals, the true genetic superiority of animals selected across groups, i.e. the selection response, and the magnitude of selection bias (difference between true and predicted selection responses). The different statistical models studied considered either fixed or random genetic groups (based on six different years of birth) versus ignoring the genetic group effects in a sire model. Including fixed genetic groups led to an overestimation of selection response under BLUP selection across groups despite the unbiasedness of the estimation, i.e. despite the correct estimation of differences between genetic groups. This overestimation was extremely important in numerical applications which considered two kinds of within-station progeny test designs for French purebred beef cattle AI sire evaluation across years: the reference sire design and the repeater sire design. When assuming a priori genetic differences due to the existence of a genetic trend of around 20% of genetic standard deviation for a trait with h2=0.4, in a repeater sire design, the overestimation of the genetic superiority of bulls selected across groups varied from about 10% for an across-year selection rate p=1/6 and an accurate selection index (100 progeny records per sire) to 75% for p=1/2 and a less accurate selection index (20 progeny records per sire). This overestimation decreased when the genetic trend, the heritability of the trait, the accuracy of the evaluation or the connectedness of the design increased. Whatever the data design, a model of genetic evaluation without groups was preferred to a model with genetic groups when the genetic trend was in the range of likely values in cattle breeding programs (0 to 20% of genetic standard deviation). In such a case, including random groups was pointless and including fixed groups led to a large overestimation of selection response, smaller true selection response across groups and larger variance of estimation of the differences between groups. Although the genetic trend was correctly predicted by a model fitting fixed genetic groups, important errors in predicting individual breeding values led to incorrect ranking of animals across groups and, consequently, led to lower selection response.

Animals↗

Character process model for semen volume in AI rams: evaluation of correlation structures for long and short-term environmental effects.

The objective of this study was to build a character process model taking into account serial correlations for the analysis of repeated measurements of semen volume in AI rams. For each ram, measurements were repeated within and across years. Therefore, we considered a model including three environmental effects: the long-term environmental effect, which is a random year(*)subject effect, the short-term environmental effect, which is a random within year subject(*)collection effect, and the classical measurement error. We used a four-step approach to build the model. The first step explored graphically the serial correlations. The second step compared four models with different correlation structures for the short-term environmental effect. We selected fixed effects in the third step. In the fourth step, we compared four correlation structures for the long-term environmental effect. The model, which fitted best the data, used a spatial power correlation structure for the short-term environmental effect and a first order autoregressive process for the long-term environmental effect. The heritability estimate was 0.27 (0.04), the within year repeatability decreased from 0.56 to 0.44 and the repeatability across years decreased from 0.43 to 0.37.

Animals↗

Genetic study of common variants at the Apo E, Apo AI, Apo CIII, Apo B, lipoprotein lipase (LPL) and hepatic lipase (LIPC) genes and coronary artery disease (CAD): variation in LIPC gene associates with clinical outcomes in patients with established CAD.

BACKGROUND: Current evidence demonstrates that positive family history and several alterations in lipid metabolism are all important risk factors for coronary artery disease (CAD). All lipid abnormalities themselves have genetic determinants. Thus, objective of this study was to determine whether 6 genetic variants potentially related to altered lipid metabolism were associated with CAD and with lipid abnormalities in an Italian population. These genetic variables were: apolipoprotein E (Apo E), Apo AI, Apo CIII, Apo B, lipoprotein lipase (LPL) and the hepatic lipase (LIPC) genes. Furthermore, an 8 years prospective analysis of clinical cardiovascular events was related to the various genetic markers. METHODS: 102 subjects with established coronary artery disease and 104 unrelated normal subjects were studied. CAD Patients were followed up for 8 years, and clinical CAD outcomes (a second coronary angioplasty (PTCA), myocardial infarction, coronary artery by-pass graft (CABG), cardiovascular deaths), available from 60 subjects, were related to the genetic variants by multiple regression analysis. Results. Of the six lipid loci studied (for a total of 11 polymorphisms) only the apolipoprotein E, Apo B and LIPC polymorphisms distinguished between case and controls. However, multivariate analysis accounting for clinical and metabolic predictors of CAD showed that only the ApoB Xba1 and ApoE4 polymorphism associated with CAD in this Italian population. When lipid parameters were related to genotypes, the ApoE, ApoB, and LIPC gene polymorphisms were associated to various markers of dyslipidaemia in the CAD patients, confirming previous reports. When the occurrence of a second cardiovascular event was related to genotypes, an independent role was observed for the LIPC gene T202T variant. CONCLUSIONS: variation in LIPC (hepatic lipase) gene associates with clinical outcomes in Italian patients with established CAD. Further studies on the LIPC gene in CAD patients are warranted, in particular looking at the possible influences on clinical outcomes.

Apolipoprotein A-I↗

The application of AI-driven and engineered intratumoral microbes in cancer therapy.

BACKGROUND: Although investigations of the intratumoral microbiota date back thousands of years, breakthrough transformations have only recently been achieved through high-throughput sequencing and multiomic technologies. These advances have revealed diverse and tumor type-specific microbial communities that drive carcinogenesis via immunomodulation, metabolic reprogramming, and genomic instability. Current cornerstones of cancer therapies-including chemotherapy, radiotherapy, immunotherapy, and targeted therapy-are limited by systemic toxicity, localized tissue damage, drug resistance, and low patient response rates. These constraints underscore the urgent need for more effective and precise therapeutic strategies. MAIN BODY: This review comprehensively integrates artificial intelligence (AI) technologies into the characterization of the intratumoral microbiota, facilitating the development of novel computational pipelines for mapping microbe-host crosstalk. We systematically summarize recent advances in engineered microbial therapeutics, including bacteria designed for targeted antitumor activity and engineered microorganisms that enable the localized delivery of therapeutic agents. Furthermore, this review critically evaluates the safety profiles of microbiota-based interventions and discusses key challenges in clinical translation. CONCLUSIONS: By combining cutting-edge computational technologies, biological research, and clinical insights, this review aims to bridge the gap between microbiome science and oncological practice, pioneering innovative strategies for microbiota-guided diagnostics and personalized cancer therapy.

Humans↗

Cloning and expression of a novel Trichoderma viride laminarinase AI gene (lamAI).

The gene lamAI, which encodes a novel laminarinase AI of Trichoderma viride U-1, was cloned using RT-PCR in conjunction with the rapid amplification of cDNA ends (RACE) technique. The open reading frame consisted of 2,277 bp encoding a protein of 759 amino acid residues, including a 32-residue signal prepropeptide. The protein showed 91% sequence similarity to the putative Trichoderma virens beta-1,3-glucanase BGN1, but no significant similarity to fungal beta-1,6-glucanases or beta-1,3-glucanases from other organisms. On 40 h incubation with a solo carbon source, northern analysis revealed that the gene was induced by 0.5% laminaran from Eisenia bicyclis but was not by the same concentration of glucose. The lamAI cDNA was functionally expressed in the methylotrophic yeast Pichia pastoris, resulting in a recombinant enzyme with as high activity against laminaran as native LAMAI. Based on these data, the probable existence of endo-beta-1,3:1,6-glucan hydrolases as a subclass of endo-beta-1,3-glucanases in some mycoparasitic fungi is suggested.

Amino Acid Sequence↗

Colocalization of apolipoprotein AI in various kinds of systemic amyloidosis.

Apolipoprotein AI (apoAI), a major component of high-density lipoproteins, is one of the major amyloid fibril proteins and a minor constituent of the senile plaques observed in Alzheimer's disease. We examined colocalization of apoAI in various kinds of systemic amyloidosis in this study. Forty-three of 48 formalin-fixed paraffin-embedded heart specimens with various forms of systemic amyloidosis reacted immunohistochemically with anti-human apoAI antibody. ApoAI was also detected in water-extracted amyloid material by immunoblotting. In addition, we observed colocalization of apoAI and murine amyloid A (AA) amyloidosis in human apoAI transgenic mice. This is the first report of colocalization of apoAI with amyloid deposits in various forms of human systemic amyloidosis and murine AA amyloidosis in human apoAI transgenic mice. ApoAI may not always be a major component of amyloid fibrils, even when it is present in systemic amyloid deposits.

Amyloidosis↗

AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment.

Plant viruses pose a significant threat to global agriculture and require efficient tools for their timely detection. We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. The pipeline uses Biopython to automatically retrieve different genomic sequences from the NCBI database to increase the robustness of the subsequent primer design. The design_primers_with_tuning module uses a random forest classifier that optimizes parameters and provides flexibility for different experimental conditions. Quality control measures, including the evaluation of poly-X content and melting temperature, increase primer reliability. Unique to AutoPVPrimer is the visualize_primer_dimer module, which supports the visual evaluation of primer dimers-a feature missing in other tools. Primer specificity is validated via primer BLAST, which contributes to the overall efficiency of the pipeline. AutoPVPrimer has been successfully applied to the tomato mosaic virus, proving its adaptability and efficiency. The modular design allows customization by the user and extends the applicability to different plant viruses and experimental scenarios. The pipeline represents a significant advance in primer design and provides researchers with an effective tool to accelerate molecular biology experiments. Future developments aim to extend compatibility and incorporate user feedback to consolidate AutoPVPrimer as an innovative contribution to the bioinformatics toolbox and a promising resource for the advancement of plant virology research.

DNA Primers↗

Gold-labeled nanoparticle-based immunoresonance scattering spectral assay for trace apolipoprotein AI and apolipoprotein B.

BACKGROUND: Apolipoprotein AI (ApoAI) and ApoB are risk indicators of cardiovascular disease. We describe the use of immunoresonance scattering to measure the ApoAI and ApoB in serum. METHODS: We used a trisodium citrate method to prepare 9.0-nm gold nanoparticles labeled with goat anti-human ApoAI and ApoB antibodies. The immune reaction between gold-labeled antibodies and antigens took place in Na2HPO4-NaH2PO4 buffer solution (pH 6.4 for ApoAI and pH 6.0 for ApoB) in the presence of 75 g/L polyethylene glycol (PEG). We used a transmission electron microscope to observe the shape of the gold nanoparticles. Results were compared with those obtained by immunoturbidimetric methods. Twenty-five human serum samples were assayed by the immunoresonance scattering assay preset with the data indicated and by an immunoturbidimetric assay. RESULTS: The presence of PEG greatly enhanced the intensity of resonance-scattering peaks at 560 nm. The intensity (DeltaI) was proportional to concentration at 0.00833-0.3333 mg/L ApoAI and 0.00197-0.1972 mg/L ApoB. The detection limits were 2.04 and 0.96 microg/L for ApoAI and ApoB, respectively. The results for human serum samples were in agreement with those obtained with an immunoturbidimetric method. Linear regression analysis revealed a correlation coefficient, slope, and intercept of 0.915, 0.966, and 68.53 mg/L, respectively, for ApoAI and 0.919, 0.996, and 15.46 mg/L for ApoB. CONCLUSION: This method showed high sensitivity and good selectivity for quantitative determination of ApoAI and ApoB in human serum, with satisfactory results.

Apolipoprotein A-I↗

Hemoglobin Ai levels in hyperthyroidism.

Hemoglobin AI (HbAI) was studied in 21 cases of hyperthyroidism (H) and 33 control subjects (C). The correlation equations between fasting blood glucose (FBG, mg/dl, x) and HbAI (%, y) in the H and C groups were: y=0.07x+1.26 (r=0.5, p less than 0.05) and y=0.048x+2.23 (r=0.94, p less than p.001), respectively. Five cases in the H group showed a higher level of HbAI far outside the confidence of 5% level of significance calculated from correlation equation for the C group. The correlation equation for the sum of blood glucose (sigma BG, mg/dl, x) during GTT and HbAI (%, y) in the H group was y=0.003x+5.3 (r=0.64, p less than 0.01); in the C group y=0.005x+3.1 (r=0.88, p less than 0.001). sigma BG and HbAI showed a close correlation in both groups. According to the results of the GTT, the subjects, either C or H group, were divided into three sub-groups: normal (n), borderline (b) and diabetic (d). The correlation equation between triiodothyronine (T3, ng/dl, x) and HbAI (%, y) in the H group was calculated as y=0.003x+6.49 (r=0.58, p less than 0.05). T3 in the n subgroup was 331 +/- 90 ng/dl, in the b subgroup 362+/-166 ng/dl and in the d subgroup 621+/-227 ng/dl, and there was a statistical difference between the b and d groups.

Adult↗

The binding of haptoglobin to apolipoprotein AI: influence of hemoglobin and concanavalin A.

Haptoglobin (Hp) can be purified by affinity chromatography using hemoglobin (Hb)-linked Sepharose. Elution with 8 M urea is generally performed, resulting in heavy contamination of the Hp preparation by apolipoprotein AI (ApoAI), and partial loss of Hb binding activity. Hp, separated from ApoAI, was recovered by elution with glycine-HCl at pH 3. Complexes of the isolated protein with Hb or ApoAI were detected by enzyme-linked immunosorbent assay (ELISA). Competition between the two ligands in their interaction with Hp was observed. Concanavalin A (ConA), which binds the Hp carbohydrate chains, did not influence Hp binding to ApoAI. These results suggest that changes in the plasma levels of ApoAI or Hb affect the Hp role in regulating the reverse transport of cholesterol or preventing Hb-dependent oxidative damage.

Apolipoprotein A-I↗

Uncommon allele in apo AI-CIII-AIV gene cluster in a family with congenital generalized lipodystrophy.

Congenital generalized lipodystrophy is a rare inherited disease. One of its features is a disturbance in lipid metabolism characterized by hypercholesterolemia and hypertriglyceridemia. A brother and a sister with congenital generalized lipodystrophy, an 8-year old male and a 12-year old female were studied. The mother and a 6-year old brother were healthy. The genetic analysis of Sstl RFLP of the apo AI-CIII-AIV gene cluster showed the presence of the rare Sstl allele (S2) in the patients but not in the healthy mother and brother. As this uncommon allele has been reported to be related to high plasma triglyceride levels, this association could be relevant in explaining in part the hypertriglyceridemia observed in these patients.

Alleles↗

How AI Is Speeding Up the Diagnostic Odyssey for Rare Diseases.

The road to diagnosis can be long and sometimes unending for rare diseases, requiring training and resources that many clinics do not have. In this News and Perspectives article, JMIR Correspondent Simon Spichak reports on how AI initiatives at a children's hospital in the United States and one in Canada are helping bridge that gap and could fundamentally reshape the diagnostic experience for children and families living with rare diseases.

Rare Diseases↗

Plasma apolipoproteins AI, AII, B, CI, and E are glucosylated in hyperglycemic diabetic subjects.

Nonenzymatic posttranslational glucosylation of the free amine of lysine residues can occur in hyperglycemic diabetic subjects. Using monoclonal antibodies that specifically bind the reduced conjugate of glucose covalently bound to the epsilon amine of lysine, glucitollysine, plasma lipoprotein glucosylation was demonstrated by radioimmunoassays in all subjects tested. Lipoproteins isolated from the plasma of diabetic subjects in poor metabolic control contained up to 33-fold increases in glucitollysine residues/mg of isolated lipoprotein protein, and on an absolute basis contained between 36 and 383 nmol of glucitollysine in their total lipoprotein fraction compared with normals, who had a mean of 2.9 +/- 0.06 nmol. The majority of the glucosylated protein in the d less than 1.125 g/ml fraction was present in the triglyceride-rich lipoproteins of hyperglycemic subjects, whereas the majority of the glucosylated protein in the d less than 1.125 g/ml fraction of euglycemic subjects was present in the high-density lipoproteins (HDL). A number of immunochemical approaches were used to demonstrate that, in diabetic plasma, apo AI, apo AII, apo B, apo CI, apo E, and albumin were glucosylated. Detailed studies of the apoproteins of a d less than or equal to 1.019 g/ml lipoprotein fraction and of an HDL fraction isolated from a hyperglycemic diabetic subject indicated that glucitollysine-specific antibodies can be used to preparatively isolate proteins containing glucosylated amino acid residues so that the extent of glucosylation in specific proteins can be measured. The results indicate that some of the lysine residues of the apoproteins can be modified in hyperglycemic diabetic subjects by the covalent attachment of glucose. The possible significance of these observations is discussed.

Apolipoprotein A-I↗

Somatotropin and prolactin profile characteristics in proven AI dairy sires.

Blood samples were collected at 20-min intervals for 8 h from 16 Holstein sires, each of which had U.S. Department of Agriculture (USDA) and Northeast AI Sire Comparison (NEAISC) progeny test evaluation data available. Plasma somatotropin (ST) and prolactin (PRL) concentrations were measured, and resulting endocrine profiles were analyzed by PULSAR, a microcomputer-based hormone peak-detection program. The number of ST peaks during the sampling period was negatively related to USDA Predicted Transmitting Ability (PTA) for fat yield, milk, and fat product value (PTA+), and for milk, fat, and protein product value (PRO+), and ST peak length was negatively related to PTA for protein percentage (PTA %P). Interpeak interval for ST was positively related to NEAISC percentage of Protein Deviation (%P). Prolactin peak length was correlated positively with both USDA PTA %P and NEAISC %P, and peak frequency was correlated positively with NEAISC %P. Interpeak interval for PRL was related positively to NEAISC Milk and Fat Deviations. Area under PRL profile was negatively related (P less than .05) to USDA PTA+ and PRO+, and NEAISC Fat Deviation and Dollars. The results indicated that endocrine traits in mature dairy sires are correlated with genetic merit for economically important production traits and suggested that such profile characteristics may be useful in selecting young sires for progeny testing programs.

Animals↗

Transcriptional regulation of the apolipoprotein AI gene.

Since the original description of the gene encoding apolipoprotein AI (apoAI) considerable progress has been made in identifying the regulatory regions and corresponding transcription factors that regulate its transcription in liver and intestinal cells. Nuclear receptors (in particular HNF-4) have emerged as the dominant (although by no means the exclusive) transcriptional activators that drive high levels of apoAI gene expression. In this review, some of the mechanisms (including interactions with recently described coactivators, as well as synergism with additional transcription factors bound to proximal and distal enhancers) that may underlie this process are discussed. Furthermore, apoAI gene expression has long been known to be subject to a variety of developmental, hormonal, dietary and pharmacological stimuli. The review thus also describes selected examples of these phenomena with the aim of highlighting how the operative transcriptional mechanisms are likely to be continually modified while maintaining the appropriate output.

Animals↗