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Apolipoprotein AIMarburg: studies on two kindreds with a mutant of human apolipoprotein AI.

Three probands heterozygous for a mutant of apolipoprotein AI (apo AIMarburg, Utermann et al. 1982a) were detected by screening of 2282 unrelated individuals resulting an a frequency estimate of about 1/750 in the German population. All three probands with apo AIMarburg had hypertriglyceridemia (triglyceride above 250 mg/dl) and subnormal HDL-cholesterol (below 30 mg/dl), but no other lipoprotein abnormalities. The kindreds of two probands with AIMarburg were studied. The family data are consistent with an autosomal codominant inheritance of the trait. A total of 16 heterozygous blood relatives with the mutant AIMarburg were detected in these kindreds. Analysis of the plasma lipid and lipoprotein levels in relation to the apo AI phenotype was complicated by the high prevalence of diabetes mellitus and thyroid disease in one kindred and of hyperlipidemia in both kindreds. No consistent relationship between plasma lipid and lipoprotein levels, and the mutant apo AI could be demonstrated. Instead the mutant apo AI and the dyslipoproteinemia seem to co-exist independently in these kindreds. Three sibs with the homozygous apo E-2/2 phenotype were detected in one kindred, and all three sibs had subnormal LDL-cholesterol and beta-VLDL, e.g., the lipoprotein abnormality characterizing primary dysbetalipoproteinemia. Genetic apo E phenotypes and the apo AI mutant segregated independently, indicating that the structural gene loci for apo E and apo AI are not closely linked.

Adult↗

Studies of the lipid binding characteristics of the apolipoproteins from human high density lipoprotein. II. Calorimetry of the binding of apo AI and apo AII with phospholipids.

The interactions of lysophosphatidylcholine and synthetic 1,2-dimyristoyl-sn-glycerophosphocholine (DMPC) liposomes with the isolated HDL-apolipoproteins, apo AI and apo AII, has been studied by microcalorimetry. Complex formation is a highly exothermal process characterized by a maximal enthalpy of about --200 kcal/mol of apoprotein when added to DMPC at 28 degrees C in 0.05 M sodium carbonate/bicarbonate buffer, pH 9.6. For the apo AI apoprotein, the binding consists of two processes, one endothermal occurring at low phospholipid/protein ratios and one exothermal predominant at higher phospholipid levels. The endothermal process has been attributed to a lipid-induced disaggregation of the apo AI while the exothermal process is similar to the binding of apo AII or apo HDL to phospholipids. The binding of a constant AI and apo AII, demonstrates the existence of a maximal association at a 1 : 1 molar ratio of the apolipoproteins. The sequential binding of DMPC to apo AI and apo AII suggests the existence of cooperativity between the two apoproteins in phospholipid binding as apo AII promotes the incorporation of apo AI into a protein-phospholipid complex.

Apoproteins↗

Glycosylated hemoglobin (Hb AI) as an indicator of therapy effects in different clinical types of diabetes.

The levels of glycosylated hemoglobin (Hb AI), intermittent glycemia and glycosuria over 24 hr, Mw index, fasting serum cholesterol and triglycerides, and 24-hr proteinuria were determined in 20 healthy subjects and 88 diabetics representing different clinical types of diabetes mellitus. In each of the subjects all the tests were carried out on a single day. The other investigations included endogenous creatinine clearance, ECG and ophthalmoscopic examination of the eye-fundus. The mean Hb AI levels in the "A" control group (up to 40 yr of age) and in the "B" control group (41-60 yr) were mean +/- SD = 6.8 +/- 0.65% and mean +/- SD = 6.49 +/- 0.99% of the total hemoglobin concentration, respectively. A significant increase in Hb AI concentration was found in all the diabetic patients. The increase, independent of the subject's age, clinical type of diabetes and the therapy employed, was related to the degree of hyperglycemia. In Type I diabetes there was no positive correlation between Hb AI concentration on the one hand and fasting glycemia, the 24-hr profile of glycemia, glycosuria and Mw index on the other. The latter indices of diabetes mellitus control seem thus to differ in value and significance. In Type II diabetes, both newly-diagnosed and of long duration, treated with the sulfonylurea derivatives, a marked correlation was found between Hb AI level and fasting glycemia, the mean value of 8 glycemia determinations over 24-hr, Mw index and 24-hr glycosuria. In Type II diabetes treated with insulin a correlation was established between Hb AI and other findings, except fasting glycemia.(ABSTRACT TRUNCATED AT 250 WORDS)

Adolescent↗

Expression of apolipoprotein AI mRNA in peripheral white blood cells of patients with alcoholic liver disease.

Because (i) changes in plasma and liver mRNA of apolipoprotein (apo) AI have been observed in patients with alcoholic liver disease, (ii) apo AI mRNA can be induced in non-hepatic tissues, and (iii) apolipoproteins expression is influenced by plasma colloid osmotic pressure (P(CO)) and viscosity (eta), we analyzed the Apo AI mRNA expression in the peripheral white blood cells (PWBC), P(CO), and eta in control volunteers (C), patients with liver cirrhosis (LC), and cirrhotic patients with superimposed alcoholic hepatitis (LC+AH). We found that apo AI mRNA is expressed in the PWBC in 20% of C and it is induced 1.5 fold in 66.6% of LC and 1.95 fold in 85% of LC+AH. A significant decrease of P(CO) in LC and LC + AH (14.8 +/- 2.4 and 16.2 +/- 2.4 mm Hg, respectively) compared to C (27.9 +/- 2 mm Hg) was observed. By contrast, eta was mildly increased from 1.7389 +/- 0.07 in C to 1.8022 +/- 0.154 in LC and 1.9030 +/- 0.177 in LC+AH. No significant correlation was found between P(CO) and eta with apo AI mRNA but with lipid profile. In conclusion, apo AI mRNA expression in PWBC is associated to liver disease severity and could be an indirect indicator of alcoholic liver damage.

Adult↗

Different VLDL apo B, and HDL apo AI and apo AII metabolism in two heterozygous carriers of unrelated mutations in the lipoprotein lipase gene.

BACKGROUND: Lipoprotein lipase (LPL) deficiency has been suggested as a cause of low HDL-cholesterol (HDL-C) plasma levels, by a mechanism that involves an enhanced catabolism of HDL apolipoprotein (apo) AI. To verify the role of 2 different LPL gene mutations on HDL metabolism, we studied the in vivo turnover of the apo AI and apo AII in heterozygous carriers of LPL deficiency. METHODS: Apo AI and AII kinetics were studied by a 10-h primed constant infusion of 5,5,5-2H3-leucine approach in 2 carriers, 1 man (patient 1) and 1 woman (patient 2), and 5 control subjects. The rates of HDL apolipoproteins production (PR) and catabolism (FCR) were estimated using a one-compartment model-based analysis. RESULTS: Both carriers had low HDL-C plasma levels and only patient 1 was hypertriglyceridemic. VLDL apo B was 4-times slower in patient 1 as compared to patient 2. The FCRs of apo AI in both carriers was within the range of the controls (0.200, 0.221 and 0.211+/-0.051 day(-1), respectively). Apo AII FCR in patient 1 was about 20% lower than the mean of the control group whereas being normal in patient 2. Apo AI PR in patient 1 (9.20 mg kg(-1) day(-1)) was below the lowest value in controls (range, 10.52-13.24 mg kg(-1) day(-1)) whereas in patient 2 it was normal. Apo AII PR in both patients was similar to controls. CONCLUSION: The heterozygous carriers of 2 different mutations in the LPL gene had different VLDL apo B FCR, and from normal to slightly low HDL apolipoprotein FCR and PR. These results disagree with the putative enhanced apo AI FCR in LPL deficient patients and suggest the need to reconsider the effects of LPL activity on HDL metabolism.

Adult↗

Challenges and future directions in AI-driven biomaterials for microbiome-associated oral infectious diseases: A systematic review.

Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, periodontitis, peri-implantitis, and endodontic infection). Traditional therapies and biomaterials are limited by poor biofilm penetration, drug resistance induction, single functionality, and inadequate adaptation to dynamic oral microenvironmental changes (e.g., pH fluctuations, salivary rinsing, masticatory stimulation). Artificial intelligence (AI) has transformed the field by integrating materials science, microbiology, and stomatology data. Via machine learning, deep learning, and multi-physics simulation, AI optimizes biomaterial physicochemical properties, decodes microenvironmental signals, constructs precise sensing-response loops, and supports the full chain of material design, performance prediction, and action simulation, advancing treatment from empirical intervention to precision regulation. This systematic review retrieved literature from PubMed, Embase, and Web of Science (January 2016-January 2026) using keywords across three dimensions: AI, biomaterials, and oral microbiome. Following inclusion/exclusion criteria, 99 articles were included. It elaborates on five core mechanisms of AI-driven oral biomaterials (precise oral microbiome analysis, targeted material design/optimization, performance prediction/simulation, targeted delivery/intervention, effect evaluation/dynamic regulation), analyzes their applications in microbiome-targeted biomaterial research and development (R&D) and clinical practice for the four major oral infectious diseases, addresses technical bottlenecks (insufficient targeting specificity and precision of biomaterials, poor stability and durability in complex oral microenvironments, inadequate biofilm disruption capacity, and clinical translation obstacles), and proposes future directions (multimodal design to enhance targeting specificity, structural and component optimization to improve stability/durability, development of multi-mechanism synergistic biofilm disruption strategies, strengthening translational research for clinical application, and deep integration of AI in the full chain of biomaterial R&D). This work provides comprehensive theoretical and practical support for the R&D, optimization, and clinical translation of AI-driven microbiome-targeted oral biomaterials.

Humans↗

Comparison of helical, maximum intensity projection (MIP), and averaged intensity (AI) 4D CT imaging for stereotactic body radiation therapy (SBRT) planning in lung cancer.

BACKGROUND AND PURPOSE: To compare helical, MIP and AI 4D CT imaging, for the purpose of determining the best CT-based volume definition method for encompassing the mobile gross tumor volume (mGTV) within the planning target volume (PTV) for stereotactic body radiation therapy (SBRT) in stage I lung cancer. MATERIALS AND METHODS: Twenty patients with medically inoperable peripheral stage I lung cancer were planned for SBRT. Free-breathing helical and 4D image datasets were obtained for each patient. Two composite images, the MIP and AI, were automatically generated from the 4D image datasets. The mGTV contours were delineated for the MIP, AI and helical image datasets for each patient. The volume for each was calculated and compared using analysis of variance and the Wilcoxon rank test. A spatial analysis for comparing center of mass (COM) (i.e. isocenter) coordinates for each imaging method was also performed using multivariate analysis of variance. RESULTS: The MIP-defined mGTVs were significantly larger than both the helical- (p=0.001) and AI-defined mGTVs (p=0.012). A comparison of COM coordinates demonstrated no significant spatial difference in the x-, y-, and z-coordinates for each tumor as determined by helical, MIP, or AI imaging methods. CONCLUSIONS: In order to incorporate the extent of tumor motion from breathing during SBRT, MIP is superior to either helical or AI images for defining the mGTV. The spatial isocenter coordinates for each tumor were not altered significantly by the imaging methods.

Humans↗

Albumin inhibits apolipoprotein AI and AII production in human hepatoblastoma cell line (Hep G2): additive effects of oleate-albumin complex.

Although the role of multiple humoral agents (such as plasma albumin, glucose, hormones etc.) are implicated in lipoprotein metabolism, the mechanism of action of these agents on various steps of the synthesis and secretion of lipoproteins and apolipoproteins (protein moieties of lipoproteins) are not completely understood. Specifically, the hepatocellular mechanisms of the effect of albumin and fatty acids on apolipoprotein (apo) AI and AII [major proteins of high density lipoproteins (HDL)] synthesis and secretion are not known. Using human hepatoblastoma cells (Hep G2) as an in vitro model system, this study examined the effect of albumin and fatty acids on the synthesis, secretion, and the steady-state mRNA expression of apo AI and AII. The data indicated that the incubation of Hep G2 cells with albumin, dose-dependently, inhibited apo AI and AII accumulation (secretion) in the media, de novo synthesis, and the steady-state mRNA expression. Albumin did not alter total protein synthesis; thus the effect of albumin appeared to be specific for the synthesis and secretion of apo AI and apo AII. Free fatty acids (FFA) are transported by albumin and diseases characterized by enhanced FFA mobilization (e.g. diabetes mellitus) are associated with low HDL levels. Studies were therefore performed to examine the effect of albumin-bound-oleic acid on apo AI and apo AII production. The results showed that the albumin-oleate complex further increased the inhibitory effects of albumin on apo AI and apo AII production. These data suggest how HDL metabolism may be affected at the hepatocellular level by alterations in plasma albumin concentrations and/or fatty acid mobilization in clinical situations characterized by altered HDL levels.

Albumins↗

Effects of different reproduction techniques: AI MOET or IVP, on health and welfare of bovine offspring.

Since the introduction of in vitro production (IVP) of bovine and sheep pre-implantation embryos, increased birth weights and other deviations of IVP calves and lambs compared with AI or MOET offspring have been reported. Study 1 of the present paper, a comparison between AI, MOET and IVP (co-culture/serum) calves with respect to calf and calving characteristics in large-scale field conditions, confirms these reports. In addition, it is shown that MOET calves tend towards higher birth weights and have significantly longer gestations and more difficult calvings than AI calves. It is presently unknown if the effect of IVP is also observed later in life. In this paper, data on reproduction characteristics of bovine IVP co-culture/serum offspring are presented. Semen production--and non return data of one year old IVP bulls and superovulation-, AI- and OPU/IVP results of one year old IVP heifers are compared with those of one year old AI and MOET animals producing semen or embryos in the same time period. So far, there are no indications that the use of IVP is reflected in deviate reproduction characteristics of bovine IVP offspring. It has been suggested that use of co-culture cells and serum during in vitro culture of bovine (and sheep) embryos may partially explain the increased birth weights and other deviations of bovine and sheep IVP offspring. Deletion of these factors in semi-defined culture media, e.g. Synthetic Oviductal Fluid (SOF), could result in more normal offspring. Study 2 investigates this hypothesis in both field conditions (Study 2a, comparing AI, IVP co-culture/serum and IVP SOF calves) and in semi-standardized conditions (Study 2b, comparing MOET, IVP co-culture/serum and IVP SOF calves at one herd). In Study 2a, although IVP SOF calves showed (non-significant) shorter gestations, easier calvings and lower percentages of perinatal mortality and congenital malformations than IVP co-culture calves, birth weights were not decreased. In Study 2b however, the difference between IVP co-culture and IVP SOF calves in birth weight and ease of calving was significant (P < 0.05), IVP SOF calves resembling MOET calves more. IVP calves differed significantly from MOET calves with respect to several physiological parameters, such as blood oxygen saturation level, heart beat frequency and some measures of the heart. In addition, in Study 2b, recipients receiving an IVP SOF embryo showed a more regular return to estrus than those receiving an IVP co-culture embryo. From Study 2 it can be concluded that using a semi-defined medium for in vitro culture (SOF) may improve characteristics of IVP calves born.

Animals↗

Regional variations of noise-induced changes in operating range in cat AI.

Regional differences in spectral integration of neurons in cat primary auditory cortex (AI) suggest that regions differ in effects of background noise on operating characteristics of neurons. Therefore, tone-response threshold, best level (peak-rate intensity), dynamic range, and sharpness of tuning in quiet and in continuous broadband noise were mapped for single neurons along the isofrequency domain of AI. Neurons did not show an excitatory response to the noise. Noise invariably increased the tone-response threshold and best levels. Consequently, the dynamic ranges and receptive fields shifted to higher intensity levels without changes of average sharpness of tuning. These shifts were linearly related to noise level and showed little inter-neuronal variability for neurons in the central, mostly sharply tuned part of AI. In more dorsal and ventral parts of AI, neurons were more variable in tone-response threshold, dynamic range and best level, and no systematic relationship between increase in noise level, threshold increase and best-level increase was observed. We conclude that linear shifts in the operating range of neurons in central AI in the presence of continuous noise backgrounds do not affect other response properties and may relate to the unaltered analysis and representation of spectral components of sounds. In contrast, neurons in dorsal and ventral AI change response properties in a non-predictable way in the presence of noise in accordance with the more complex receptive field properties in those areas.

Acoustic Stimulation↗

A stochastic model of Escherichia coli AI-2 quorum signal circuit reveals alternative synthesis pathways.

Quorum sensing (QS) is an important determinant of bacterial phenotype. Many cell functions are regulated by intricate and multimodal QS signal transduction processes. The LuxS/AI-2 QS system is highly conserved among Eubacteria and AI-2 is reported as a 'universal' signal molecule. To understand the hierarchical organization of AI-2 circuitry, a comprehensive approach incorporating stochastic simulations was developed. We investigated the synthesis, uptake, and regulation of AI-2, developed testable hypotheses, and made several discoveries: (1) the mRNA transcript and protein levels of AI-2 synthases, Pfs and LuxS, do not contribute to the dramatically increased level of AI-2 found when cells are grown in the presence of glucose; (2) a concomitant increase in metabolic flux through this synthesis pathway in the presence of glucose only partially accounts for this difference. We predict that 'high-flux' alternative pathways or additional biological steps are involved in AI-2 synthesis; and (3) experimental results validate this hypothesis. This work demonstrates the utility of linking cell physiology with systems-based stochastic models that can be assembled de novo with partial knowledge of biochemical pathways.

Bacterial Physiological Phenomena↗

AI proteomics: from protein identification to virtual cells.

Artificial intelligence (AI) is transforming scientific research, including proteomics. In this Perspective, we highlight key mass spectrometry (MS)-based proteomics areas where AI is driving innovation, ranging from protein identification to building AI virtual cells. These include improving peptide and protein identification and quantification; characterizing protein-protein interactions and protein complexes; advancing spatial and perturbation proteomics; integrating multi-omics data; and, ultimately, enabling AI virtual cells. Finally, we call for global collaboration among data producers, data consumers and other stakeholders to establish an AI-friendly ecosystem for MS-based proteomics, laying the foundation for transformative advancements in proteomics driven by AI.

Proteomics↗

Oxidation of high-density lipoprotein HDL3 leads to exposure of apo-AI and apo-AII epitopes and to formation of aldehyde protein adducts, and influences binding of oxidized low-density lipoprotein to type I and type III collagen in vitro1.

The changes in the immunological properties of apolipoprotein AI (apo-AI) and AII (apo-AII) during the oxidation of the high-density lipoprotein HDL3 and its influence on the binding of heavily oxidized low-density lipoprotein (LDL) to type I and III collagen were investigated. Oxidation of HDL3 or Eu3+-labelled HDL3 was performed with CuSO4, varying the time of oxidation. Oxidation of HDL3 resulted in an increase in lipid hydroperoxides and enhanced the negative charge of this lipoprotein. Immunological studies with a solid-phase sandwich immunoassay revealed a strong increase in binding of Eu3+-labelled HDL3 to polyclonal antibodies against apo-AI and apo-AII within the first 4 h of oxidation. Neo-epitopes were also formed by interaction of the apolipoproteins with degradation products from the lipid peroxidation of polyunsaturated fatty acids, as evidenced by an immunoreaction of oxidized Eu3+-labelled HDL3 with antibodies to 4-hydroxynonenal (4-HNE)- and malondialdehyde (MDA)-protein adducts. Western blot analysis of oxidized HDL3 samples showed, as well as apo-AI and apo-AII bands, larger aggregated apolipoproteins, occurring after 0.5-2.5 h of oxidation. These aggregates were recognized by antibodies to apo-AI and apo-AII as well as by antibodies to 4-HNE- and MDA-protein adducts. Furthermore the original apo-AI monomers and apo-AII dimers decreased during the oxidation. The ability of native and oxidized HDL3 to prevent the binding of Eu3+-labelled 24 h-oxidized LDL to collagen on microtitration plates was estimated. Interestingly, 2 h-oxidized HDL3 competed most with the binding of 24 h-oxidized LDL on collagen type I and type III, followed by native HDL3. However, 24 h-oxidized HDL3 was a weaker competitor. Thus oxidative modification of HDL3 strongly alters the immunological properties of this lipoprotein and its binding affinity for collagen.

Aldehydes↗

The effect of the treatment of hypothyroidism and hyperthyroidism on plasma lipids and apolipoproteins AI, AII and E.

OBJECTIVE: Although lipid abnormalities are well described in hypothyroidism, effects on apolipoproteins are less well understood. The aim of this study was to examine the effects of thyroid dysfunction on plasma lipids and apolipoproteins. DESIGN: A prospective study of lipids and apolipoproteins before and after treatment of hypothyroidism and hyperthyroidism. PATIENTS: Eighteen patients with hypothyroidism and 5 patients with hyperthyroidism were included. MEASUREMENTS: Plasma cholesterol, triglycerides, HDL cholesterol, apo AI, apo AII, and apo E were measured before and after treatment of the thyroid abnormality. RESULTS: Total and HDL cholesterol, apo AI and apo E decreased with treatment of hypothyroidism, while triglycerides and apo AII levels were unchanged. The total/HDL cholesterol and LDL/HDL cholesterol ratios also decreased with treatment of hypothyroidism. In contrast, treatment of hyperthyroidism was associated with an increase in total and HDL cholesterol, and apo AI. Triglycerides, apo AII and Apo E were unchanged by treatment of hyperthyroidism. The total/HDL cholesterol and the LDL/HDL cholesterol ratios increased with treatment of hyperthyroidism. CONCLUSIONS: Hypothyroidism and hyperthyroidism have opposite effects on plasma lipids and apolipoproteins. In hypothyroidism, total and HDL cholesterol, total/HDL cholesterol ratio, apo AI and apo E are elevated. The increase in apo AI without a concomitant increase in apo AII suggests selective elevation of HDL2. In contrast, hyperthyroidism is associated with decreased total and HDL cholesterol, total/HDL cholesterol ratio, and apo AI levels. These effects are reversible with treatment of the underlying thyroid disorder.

Adult↗

Induction of bile acid synthesis by cholesterol and cholestyramine feeding is unimpaired in mice deficient in apolipoprotein AI.

High density lipoprotein (HDL) cholesterol is believed to be preferentially utilized for bile acid synthesis and biliary secretion. In mice, the deletion of apolipoprotein AI (apo AI), the major apolipoprotein in HDL, results in very low plasma HDL-cholesterol levels. This article describes bile acid metabolism in apo AI-deficient (Apo AI(-/-)) mice and their C57BL/6 (Apo AI(+/+)) controls fed either a basal rodent diet alone or containing cholesterol or cholestyramine. Basal plasma HDL-cholesterol levels in the (-/-) mice (<10 mg/dL) were less than 20% of those in their (+/+) controls, but there were no phenotypic differences in either the relative cholesterol content of gallbladder bile, bile acid pool size and composition, fecal bile acid excretion or the activity of, or mRNA level for, cholesterol 7alpha-hydroxylase. However, compared with their (+/+) controls, the (-/-) mice absorbed more cholesterol (33 vs. 24%) and manifested lower rates of hepatic sterol synthesis (534 vs. 1,019 nmol/h per g). Cholesterol feeding increased hepatic cholesterol levels in the (+/+) animals from 2.7 to 4.4 mg/g and in the (-/-) mice from 2.6 to 8.1 mg/g. Bile acid synthesis increased 70% in both genotypes. Cholestyramine feeding stimulated bile acid synthesis 3.7 fold in both (-/-) and (+/+) mice. We conclude that the virtual loss of HDL-cholesterol from the circulation in apo AI deficiency has no impact on the ability of the hepatocyte to adapt its rate of bile acid synthesis in concert with the amount of cholesterol and bile acid returning to the liver from the small intestine.

Animals↗

Utilization of recombinant adenovirus and dominant negative mutants to characterize hepatocyte nuclear factor 4-regulated apolipoprotein AI and CIII expression.

Using recombinant adenoviral vectors and a dominant negative mutant of HNF-4, we have examined the contribution of hepatocyte nuclear factor 4 (HNF-4) to endogenous apolipoprotein AI and CIII mRNA expression. Overexpression of HNF-4 leads to a 7.4-fold increase in apolipoprotein CIII expression, while infection with the dominant negative mutant of HNF-4 reduces the level of apolipoprotein CIII mRNA by 80%, demonstrating that endogenous HNF-4 is necessary for apolipoprotein CIII expression. Experiments using the hepatoma cell lines, HepG2 and Hep3B, indicate that HNF-4 is also involved in the regulation of apolipoprotein AI expression in these lines. However, the effect of HNF-4 on apolipoprotein AI expression is much more dramatic in cell lines derived from intestinal epithelium. Infection of the intestinal-derived cell line IEC-6 with the HNF-4 adenovirus resulted in a greater than 20-fold increase in the level of apolipoprotein AI mRNA. These results indicate that HNF-4 does regulate apolipoprotein AI and CIII mRNA expression and suggest that HNF-4 is critical for intestinal apolipoprotein AI expression.

Adenoviridae↗

Apolipoprotein AI and CIII gene polymorphisms and their association with lipid levels in Italian, Greek and Anglo-Irish populations of Australia.

PRIMARY OBJECTIVE: The apolipoprotein (apo) AI-CIII-AIV gene cluster on chromosome 11 has been identified as a candidate region for hyperlipidaemia and in particular for hypertriglyceridaemia. Our aim was to detect associations between the apo AI and CIII polymorphisms and the plasma lipids, total cholesterol, triglycerides, high density lipoprotein (HDL) and low density lipoprotein (LDL) cholesterol in normal, healthy, adults from three ethnic groups of Australia--Italian, Greek and Anglo-Irish, separately by gender. METHODS AND PROCEDURES: The SstI restriction fragment length polymorphisms (RFLP) in the 3' untranslated region of the apo CIII gene and the MspI RFLP in the third intron of the apo AI gene were scored and the lipid concentrations were ascertained using standard methodologies. t-tests were used to compare lipid levels between sexes and between populations, and multivariate ANOVA was used to detect if the two RFLPs had an effect on any of the lipid concentrations. MAIN OUTCOMES AND RESULTS: The two RFLPs exhibit strong linkage disequilibrium in all three populations (p < 0.001). There were some significant differences in allele frequencies among the populations: the minor S2 allele was more frequent in Italians (0.12) than Greeks (0.03) (p = 0.003), and the minor M2 allele was more common in Greeks (0.14) than Anglo-Irish (0.05) (p = 0.026). We found no significant association between either of the RFLPs and any of the lipid concentrations in either sex of all three populations. However, Kruskal-Wallis tests detected associations of borderline significance between apo AI MspI genotypes and triglycerides (p = 0.04) and between apo AI MspI genotypes and cholesterol levels (p = 0.03) in Anglo-Irish females. CONCLUSIONS: Because only two statistically significant associations were detected among a number of comparisons, our data suggest that the apo AI and CIII polymorphisms play only a very limited role in mediating variation in lipid concentrations in these three ethnic groups.

Adult↗

Enhanced fracture detection on radiographs with AI assistance for clinicians: a systematic review and meta-analysis.

BACKGROUND: Emergency radiographic interpretation for fractures is prone to missed or misdiagnoses. Artificial intelligence (AI) is expected to become a powerful tool to assist clinicians in fracture detection. PURPOSE: A systematic review and meta-analysis was performed to assess whether AI improves clinicians' ability to detect fractures on radiographs. MATERIALS AND METHODS: A literature search was conducted in PubMed, Web of Science, and Cochrane Library for studies published between January 1, 2010, and October 10, 2025. A meta-analysis of diagnostic accuracy studies was performed using a Summary Receiver Operating Characteristic (SROC) curve. The quality of included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Subgroup analysis and meta-regression were conducted to explore potential sources of heterogeneity. RESULTS: A total of 26 studies were included . The pooled sensitivity of clinicians increased from 77% (95% CI: 72-81) to 87% (95% CI: 83-90) with AI assistance, while the pooled specificity improved from 88% (95% CI: 85-90) to 92% (95% CI: 89-94). The corresponding AUC values were 0.90 (95% CI: 0.87-0.92) before and 0.95 (95% CI: 0.93-0.97) after AI assistance. Eight studies were rated as high risk of bias. Subgroup analysis and meta-regression identified potential sources of heterogeneity, including fracture location, AI model type, high risk of bias, and reference standards. CONCLUSION: AI assistance significantly improves clinicians' diagnostic performance in detecting fractures on radiographs for extremity and trunk fractures.

Humans↗