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Hybrid Flash Multicasting Article in Flex Developers Journal

An article about Hybrid Flash Multicasting that features MediaPlatform's CTO, Greg Pulier, recently appeared in the Flex Developer's Journal.  Click here to link to the article

Here is the opening paragraph:

Hybrid Flash multicasting is the second and decisive wave of innovation that will enable enterprises to stream video without overtaxing their network infrastructures. It eliminates the usual tradeoffs between video consumption and network investment, regardless of increased video traffic in budget-constrained corporate networks. Hybrid Flash multicasting also solves the cost and complexity challenges of IP multicasting. By combining a new form of multicasting, known as application multicasting, which leverages a peer-assisted model of video sharing with an IP multicast network, a video stream can reach virtually everyone on the network using existing bandwidth and infrastructure. Hybrid multicasting finally unlocks the full potential for video within the enterprise by combining IP and application multicasting to deliver streaming media using the most efficient algorithms within a dynamic self-optimizing topology.




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Left Already Losing It As Trump Announces Starting Lineup (Video)

The following article, Left Already Losing It As Trump Announces Starting Lineup (Video), was first published on Conservative Firing Line.

Trump learned some hard lessons from his first kick at the can. This time, he’s not making the same mistakes. Personnel IS policy. Last time around DJT was hamstrung right out of the gate when the Alabama Senator he tapped to be his AG was stuck in purgatory under bogus Russia allegations. The Deep State …

Continue reading Left Already Losing It As Trump Announces Starting Lineup (Video) ...





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Mark Milley Fears He Will Face a Court-Martial When Trump Enters White House

Retired Gen. Mark Milley is afraid of retribution. The former chairman of the Joint Chiefs of Staff and a four-star Army general made no bones about his feelings about former […]

The post Mark Milley Fears He Will Face a Court-Martial When Trump Enters White House appeared first on The Western Journal.




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In conversation with Martin Griffiths: How can a divided world address conflict?

In conversation with Martin Griffiths: How can a divided world address conflict? 1 October 2024 — 10:00AM TO 11:00AM Anonymous (not verified) Chatham House and Online

The former United Nations Under-Secretary-General describes how a weakening multilateralism system and dysfunctional political diplomacy can be revitalized by a humanitarian approach.

The international community is failing to stop conflict. Despite efforts by international organisations and state actors to resolve or prevent it from breaking out, wars around the world have left millions of people suffering. Unstable governments and global insecurity are contributing to an age of poly-crisis, compounded by growing inequity and impunity.

How can a divided world work better to prevent and resolve conflict and reduce the suffering of the civilians affected?

Martin Griffiths has spent decades working within the United Nations system and other institutions on conflict resolution and humanitarian action, most recently as Under-Secretary General for Humanitarian Affairs and the Emergency Relief Coordinator. He worked on peace deals in Indonesia, Spain, Thailand, Myanmar, Darfur, Syria and Yemen and responded to emergencies in Ethiopia, Haiti, Afghanistan, Syria, Ukraine, Sudan, Turkiye  and Gaza and elsewhere. In this discussion, he casts his expertise over the biggest challenges in the world today and assess the prospects for international cooperation on conflict resolution in the future.

Key questions to be discussed include:

  • How can a lasting peace be secured in the conflict between Israel and Palestine ?
  • Is the world too fragmented to prevent or resolve conflicts around the world?
  • What role can the United Nations play in today’s geopolitical environment?
  • How can the West and Global South better engage to limit conflict ?

Individual membership provides you with the complete Chatham House experience, connecting you with a unique global policy community. Find out more about membership.




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Professor Sir Laurence Martin (1928-2022)

Professor Sir Laurence Martin (1928-2022) News release NCapeling 3 May 2022

Professor Sir Laurence Martin, director of Chatham House from 1991-96, has died aged 93.

Professor Sir Laurence Martin, director of Chatham House from 1991-96.

Professor Sir Laurence Martin was one of the UK’s leading experts on international security with a particular interest in nuclear strategy.

Before joining Chatham House, he was Professor of War Studies at King’s College, London and Vice Chancellor of Newcastle University. He was also appointed Deputy Lieutenant of Tyne and Wear as well as holding several distinguished professorships.

His most well-known work was Two-Edged Sword: Armed Forces in the Modern World which was also the subject of the BBC’s Reith Lectures he gave in 1981.

Sir Laurence led Chatham House as the world was entering the post-Cold War era, a time when international relations were in a state of flux which, as he wrote in International Affairs, provided grounds for optimism that ‘the objective conditions exist to eliminate violent and mutually harmful conflict at least between the major powers’.

Professor Martin worked hard to ensure the financial sustainability of the institute following the loss of core funding from the UK government in the 1980s. By modernizing its approach to fundraising, he was able to invest in a much-needed refurbishment of the House, as well as the institute’s first foray onto the internet.

This enabled Chatham House to communicate with new audiences beyond its members, event attendees, and readers of printed reports, The World Today magazine, and International Affairs journal. He paid particular attention to the need for the institute to communicate its ideas to those making policy as well as wider audiences.

In addition to strengthening the institute’s research, he was keen to continue engaging its members in discussions to develop a well- informed understanding of international affairs.

On the 75th anniversary of Chatham House in 1995, he wrote that its role was ’providing the evidence and, above all, encouraging the habit of mind, to facilitate prudent, if possible optimistic, but never utopian judgements about world affairs’. Today’s staff would agree this role remains at the heart of delivering the institute’s mission.

Selected works




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Undercurrents: Episode 10 - Artificial Intelligence in International Affairs, and Women Drivers in Saudi Arabia




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The Kremlin Letters: Wartime Exchanges of the Big Three




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Martin Wight Memorial Lecture: The Future of Think-Tanks




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Are ‘Digital Parties’ the Future of Democracy in Europe?




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Direct Democracy: Participation Without Populism?




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Artificial Intelligence and the Public: Prospects, Perceptions and Implications




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Undercurrents: Summer Special - Allison Gardner on Artificial Intelligence




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Genetic evidence for partial redundancy between the arginine methyltransferases CARM1 and PRMT6 [Signal Transduction]

CARM1 is a protein arginine methyltransferase (PRMT) that acts as a coactivator in a number of transcriptional programs. CARM1 orchestrates this coactivator activity in part by depositing the H3R17me2a histone mark in the vicinity of gene promoters that it regulates. However, the gross levels of H3R17me2a in CARM1 KO mice did not significantly decrease, indicating that other PRMT(s) may compensate for this loss. We thus performed a screen of type I PRMTs, which revealed that PRMT6 can also deposit the H3R17me2a mark in vitro. CARM1 knockout mice are perinatally lethal and display a reduced fetal size, whereas PRMT6 null mice are viable, which permits the generation of double knockouts. Embryos that are null for both CARM1 and PRMT6 are noticeably smaller than CARM1 null embryos, providing in vivo evidence of redundancy. Mouse embryonic fibroblasts (MEFs) from the double knockout embryos display an absence of the H3R17me2a mark during mitosis and increased signs of DNA damage. Moreover, using the combination of CARM1 and PRMT6 inhibitors suppresses the cell proliferation of WT MEFs, suggesting a synergistic effect between CARM1 and PRMT6 inhibitions. These studies provide direct evidence that PRMT6 also deposits the H3R17me2a mark and acts redundantly with CARM1.





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Artificial Intelligence Apps Risk Entrenching India’s Socio-economic Inequities

Artificial Intelligence Apps Risk Entrenching India’s Socio-economic Inequities Expert comment sysadmin 14 March 2018

Artificial intelligence applications will not be a panacea for addressing India’s grand challenges. Data bias and unequal access to technology gains will entrench existing socio-economic fissures.

Participants at an AI event in Bangalore. Photo: Getty Images.

Artificial intelligence (AI) is high on the Indian government’s agenda. Some days ago, Prime Minister Narendra Modi inaugurated the Wadhwani Institute for Artificial Intelligence, reportedly India’s first research institute focused on AI solutions for social good. In the same week, Niti Aayog CEO Amitabh Kant argued that AI could potentially add $957 billion to the economy and outlined ways in which AI could be a ‘game changer’.

During his budget speech, Finance Minister Arun Jaitley announced that Niti Aayog would spearhead a national programme on AI; with the near doubling of the Digital India budget, the IT ministry also announced the setting up of four committees for AI-related research. An industrial policy for AI is also in the pipeline, expected to provide incentives to businesses for creating a globally competitive Indian AI industry.

Narratives on the emerging digital economy often suffer from technological determinism — assuming that the march of technological transformation has an inner logic, independent of social choice and capable of automatically delivering positive social change. However, technological trajectories can and must be steered by social choice and aligned with societal objectives. Modi’s address hit all the right notes, as he argued that the ‘road ahead for AI depends on and will be driven by human intentions’. Emphasising the need to direct AI technologies towards solutions for the poor, he called upon students and teachers to identify ‘the grand challenges facing India’ – to ‘Make AI in India and for India’.

To do so, will undoubtedly require substantial investments in R&D, digital infrastructure and education and re-skilling. But, two other critical issues must be simultaneously addressed: data bias and access to technology gains.

While computers have been mimicking human intelligence for some decades now, a massive increase in computational power and the quantity of available data are enabling a process of ‘machine learning.’ Instead of coding software with specific instructions to accomplish a set task, machine learning involves training an algorithm on large quantities of data to enable it to self-learn; refining and improving its results through multiple iterations of the same task. The quality of data sets used to train machines is thus a critical concern in building AI applications.

Much recent research shows that applications based on machine learning reflect existing social biases and prejudice. Such bias can occur if the data set the algorithm is trained on is unrepresentative of the reality it seeks to represent. If for example, a system is trained on photos of people that are predominantly white, it will have a harder time recognizing non-white people. This is what led a recent Google application to tag black people as gorillas.

Alternatively, bias can also occur if the data set itself reflects existing discriminatory or exclusionary practices. A recent study by ProPublica found for example that software that was being used to assess the risk of recidivism in criminals in the United States was twice as likely to mistakenly flag black defendants as being at higher risk of committing future crimes.

The impact of such data bias can be seriously damaging in India, particularly at a time of growing social fragmentation. It can contribute to the entrenchment of social bias and discriminatory practices, while rendering both invisible and pervasive the processes through which discrimination occurs. Women are 34 per cent less likely to own a mobile phone than men – manifested in only 14 per cent of women in rural India owning a mobile phone, while only 30 per cent of India’s internet users are women.

Women’s participation in the labour force, currently at around 27 per cent, is also declining, and is one of the lowest in South Asia. Data sets used for machine learning are thus likely to have a marked gender bias. The same observations are likely to hold true for other marginalized groups as well.

Accorded to a 2014 report, Muslims, Dalits and tribals make up 53 per cent of all prisoners in India; National Crime Records Bureau data from 2016 shows in some states, the percentage of Muslims in the incarcerated population was almost three times the percentage of Muslims in the overall population. If AI applications for law and order are built on this data, it is not unlikely that it will be prejudiced against these groups.

(It is worth pointing out that the recently set-up national AI task force is comprised of mostly Hindu men – only two women are on the task force, and no Muslims or Christians. A recent article in the New York Times talked about AI’s ‘white guy problem’; will India suffer from a ‘Hindu male bias’?)

Yet, improving the quality, or diversity, of data sets may not be able to solve the problem. The processes of machine learning and reasoning involve a quagmire of mathematical functions, variables and permutations, the logic of which are not readily traceable or predictable. The dazzle of AI-enabled efficiency gains must not blind us to the fact that while AI systems are being integrated into key socio-economic systems, their accuracy and logic of reasoning have not been fully understood or studied.

The other big challenge stems from the distribution of AI-led technology gains. Even if estimates of AI contribution to GDP are correct, the adoption of these technologies is likely to be in niches within the organized sector. These industries are likely to be capital- rather than labour-intensive, and thus unlikely to contribute to large-scale job creation.

At the same time, AI applications can most readily replace low- to medium-skilled jobs within the organized sector. This is already being witnessed in the outsourcing sector – where basic call and chat tasks are now automated. Re-skilling will be important, but it is unlikely that those who lose their jobs will also be those who are being re-skilled – the long arch of technological change and societal adaptation is longer than that of people’s lives. The contractualization of work, already on the rise, is likely to further increase as large industries prefer to have a flexible workforce to adapt to technological change. A shift from formal employment to contractual work can imply a loss of access to formal social protection mechanisms, increasing the precariousness of work for workers.

The adoption of AI technologies is also unlikely in the short- to medium-term in the unorganized sector, which engages more than 80 per cent of India’s labor force. The cost of developing and deploying AI applications, particularly in relation to the cost of labour, will inhibit adoption. Moreover, most enterprises within the unorganized sector still have limited access to basic, older technologies – two-thirds of the workforce are employed in enterprises without electricity. Eco-system upgrades will be important but incremental. Given the high costs of developing AI-based applications, most start-ups are unlikely to be working towards creating bottom-of-the-pyramid solutions.

Access to AI-led technology gains is thus likely to be heavily differentiated – a few high-growth industries can be expected, but these will not necessarily result in the welfare of labour. Studies show that labour share of national income, especially routine labour, has been declining steadily across developing countries.

We should be clear that new technological applications themselves are not going to transform or disrupt this trend – rather, without adequate policy steering, these trends will be exacerbated.

Policy debates about AI applications in India need to take these two issues seriously. AI applications will not be a panacea for addressing ‘India’s grand challenges’. Data bias and unequal access to technology gains will entrench existing socio-economic fissures, even making them technologically binding.

In addition to developing AI applications and creating a skilled workforce, the government needs to prioritize research that examines the complex social, ethical and governance challenges associated with the spread of AI-driven technologies. Blind technological optimism might entrench rather than alleviate the grand Indian challenge of inequity and growth.

This article was originally published in the Indian Express.




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Smashing Particles up Against Mathematics

Dr. Abiy Tasissa of Tufts University, discusses the mathematics he and colleagues used to study particle collider data, including optimal transport and optimization. Collider physics often result in distributions referred to as jets. Dr. Tasissa and his team used "Earth Mover's Distance" and other mathematical tools to study the shape of jets. "It is interesting for me to see how mathematics can be applied to study these fundamental problems answering fundamental equations in physics, not only at the level of formulating new ideas, which is, in this particular case, a notion of distance, but also how the importance of designing fast optimization algorithms to be able to actually compute these distances," says Dr. Tasissa.




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Deformation of Artinian Algebras and Jordan Type

Anthony Iarrobino, Pedro Macias Marques, Maria Evelina Rossi and Jean Vallès, editors. American Mathematical Society, 2024, CONM, volume 805, approx. 252 pp. ISBN: 978-1-4704-7356-3 (print), 978-1-4704-7665-6 (online).

This volume contains the proceedings of the AMS-EMS-SMF Special Session on Deformations of Artinian Algebras and Jordan Type, held July 18–22,...




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Tekno - The Irish Collection - Ref. 258 - Scania Articulated Truck - Glynns, Galway - Miniature Diecast Metal Scale Model Heavy Goods Vehicle

firehouse.ie posted a photo:




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Tekno - The Irish Collection - Ref. 258 - Scania Articulated Truck - Glynns, Galway - Miniature Diecast Metal Scale Model Heavy Goods Vehicle

firehouse.ie posted a photo:






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The C-terminal region of the plasmid partitioning protein TubY is a tetramer that can bind membranes and DNA [Protein Structure and Folding]

Bacterial low-copy-number plasmids require partition (par) systems to ensure their stable inheritance by daughter cells. In general, these systems consist of three components: a centromeric DNA sequence, a centromere-binding protein and a nucleotide hydrolase that polymerizes and functions as a motor. Type III systems, however, segregate plasmids using three proteins: the FtsZ/tubulin-like GTPase TubZ, the centromere-binding protein TubR and the MerR-like transcriptional regulator TubY. Although the TubZ filament is sufficient to transport the TubR-centromere complex in vitro, TubY is still necessary for the stable maintenance of the plasmid. TubY contains an N-terminal DNA-binding helix-turn-helix motif and a C-terminal coiled-coil followed by a cluster of lysine residues. This study determined the crystal structure of the C-terminal domain of TubY from the Bacillus cereus pXO1-like plasmid and showed that it forms a tetrameric parallel four-helix bundle that differs from the typical MerR family proteins with a dimeric anti-parallel coiled-coil. Biochemical analyses revealed that the C-terminal tail with the conserved lysine cluster helps TubY to stably associate with the TubR-centromere complex as well as to nonspecifically bind DNA. Furthermore, this C-terminal tail forms an amphipathic helix in the presence of lipids but must oligomerize to localize the protein to the membrane in vivo. Taken together, these data suggest that TubY is a component of the nucleoprotein complex within the partitioning machinery, and that lipid membranes act as mediators of type III systems.




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Rage Against the Algorithm: the Risks of Overestimating Military Artificial Intelligence

27 August 2020

Yasmin Afina

Research Assistant, International Security Programme
Increasing dependency on artificial intelligence (AI) for military technologies is inevitable and efforts to develop these technologies to use in the battlefield is proceeding apace, however, developers and end-users must ensure the reliability of these technologies, writes Yasmin Afina.

GettyImages-112897149.jpg

F-16 SimuSphere HD flight simulator at Link Simulation in Arlington, Texas, US. Photo: Getty Images.

AI holds the potential to replace humans for tactical tasks in military operations beyond current applications such as navigation assistance. For example, in the US, the Defense Advanced Research Projects Agency (DARPA) recently held the final round of its AlphaDogfight Trials where an algorithm controlling a simulated F-16 fighter was pitted against an Air Force pilot in virtual aerial combat. The algorithm won by 5-0. So what does this mean for the future of military operations?

The agency’s deputy director remarked that these tools are now ‘ready for weapons systems designers to be in the toolbox’. At first glance, the dogfight shows that an AI-enabled air combat would provide tremendous military advantage including the lack of survival instincts inherent to humans, the ability to consistently operate with high acceleration stress beyond the limitations of the human body and high targeting precision.

The outcome of these trials, however, does not mean that this technology is ready for deployment in the battlefield. In fact, an array of considerations must be taken into account prior to their deployment and use – namely the ability to adapt in real-life combat situations, physical limitations and legal compliance.

Testing environment versus real-life applications

First, as with all technologies, the performance of an algorithm in its testing environment is bound to differ from real-life applications such as in the case of cluster munitions. For instance, Google Health developed an algorithm to help with diabetic retinopathy screening. While the algorithm’s accuracy rate in the lab was over 90 per cent, it did not perform well out of the lab because the algorithm was used to high-quality scans in its training, it rejected more than a fifth of the real-life scans which were deemed as being below the quality threshold required. As a result, the process ended up being as time-consuming and costly – if not more so – than traditional screening.

Similarly, virtual environments akin to the AlphaDogfight Trials do not reflect the extent of risks, hazards and unpredictability of real-life combat. In the dogfight exercise, for example, the algorithm had full situational awareness and was repeatedly trained to the rules, parameters and limitations of its operating environment. But, in a real-life dynamic and battlefield, the list of variables is long and will inevitably fluctuate: visibility may be poor, extreme weather could affect operations and the performance of aircraft and the behaviour and actions of adversaries will be unpredictable.

Every single eventuality would need to be programmed in line with the commander’s intent in an ever-changing situation or it would drastically affect the performance of algorithms including in target identification and firing precision.

Hardware limitations

Another consideration relates to the limitations of the hardware that AI systems depend on. Algorithms depend on hardware to operate equipment such as sensors and computer systems – each of which are constrained by physical limitations. These can be targeted by an adversary, for example, through electronic interference to disrupt the functioning of the computer systems which the algorithms are operating from.

Hardware may also be affected involuntarily. For instance, a ‘pilotless’ aircraft controlled by an algorithm can indeed undergo higher accelerations, and thus, higher g-force than the human body can endure. However, the aircraft in itself is also subject to physical limitations such as acceleration limits beyond which parts of the aircraft, such as its sensors, may be severely damaged which in turn affects the algorithm’s performance and, ultimately, mission success. It is critical that these physical limitations are factored into the equation when deploying these machines especially when they so heavily rely on sensors.

Legal compliance

Another major, and perhaps the greatest, consideration relates to the ability to rely on machines for legal compliance. The DARPA dogfight exclusively focused on the algorithm’s ability to successfully control the aircraft and counter the adversary, however, nothing indicates its ability to ensure that strikes remain within the boundaries of the law.

In an armed conflict, the deployment and use of such systems in the battlefield are not exempt from international humanitarian law (IHL) and most notably its customary principles of distinction, proportionality and precautions in attack. It would need to be able to differentiate between civilians, combatants and military objectives, calculate whether its attacks will be proportionate against the set military objective and live collateral damage estimates and take the necessary precautions to ensure the attacks remain within the boundaries of the law – including the ability to abort if necessary. This would also require the machine to have the ability to stay within the rules of engagement for that particular operation.

It is therefore critical to incorporate IHL considerations from the conception and throughout the development and testing phases of algorithms to ensure the machines are sufficiently reliable for legal compliance purposes.

It is also important that developers address the 'black box' issue whereby the algorithm’s calculations are so complex that it is impossible for humans to understand how it came to its results. It is not only necessary to address the algorithm’s opacity to improve the algorithm’s performance over time, it is also key for accountability and investigation purposes in cases of incidents and suspected violations of applicable laws.

Reliability, testing and experimentation

Algorithms are becoming increasingly powerful and there is no doubt that they will confer tremendous advantages to the military. Over-hype, however, must be avoided at the expense of the machine’s reliability on the technical front as well as for legal compliance purposes.

The testing and experimentation phases are key during which developers will have the ability to fine-tune the algorithms. Developers must, therefore, be held accountable for ensuring the reliability of machines by incorporating considerations pertaining to performance and accuracy, hardware limitations as well as legal compliance. This could help prevent incidents in real life that result from overestimating of the capabilities of AI in military operations. 




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MIRD Pamphlet No. 31: MIRDcell V4--Artificial Intelligence Tools to Formulate Optimized Radiopharmaceutical Cocktails for Therapy

Visual Abstract




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WITHDRAWN: Structural and mechanistic studies of hydroperoxide conversions catalyzed by a CYP74 clan epoxy alcohol synthase from amphioxus (Branchiostoma floridae) [Research Articles]

This manuscript has been withdrawn by the Author.




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Dietary sphinganine is selectively assimilated by members of the mammalian gut microbiome [Research Articles]

Functions of the gut microbiome have a growing number of implications for host metabolic health, with diet being one of the most significant influences on microbiome composition. Compelling links between diet and the gut microbiome suggest key roles for various macronutrients, including lipids, yet how individual classes of dietary lipids interact with the microbiome remains largely unknown. Sphingolipids are bioactive components of most foods and are also produced by prominent gut microbes. This makes sphingolipids intriguing candidates for shaping diet–microbiome interactions. Here, we used a click chemistry–based approach to track the incorporation of bioorthogonal dietary omega-alkynyl sphinganine (sphinganine alkyne [SAA]) into the murine gut microbial community (Bioorthogonal labeling). We identified microbial and SAA-specific metabolic products through fluorescence-based sorting of SAA-containing microbes (Sort), 16S rRNA gene sequencing to identify the sphingolipid-interacting microbes (Seq), and comparative metabolomics to identify products of SAA assimilation by the microbiome (Spec). Together, this approach, termed Bioorthogonal labeling-Sort-Seq-Spec (BOSSS), revealed that SAA assimilation is nearly exclusively performed by gut Bacteroides, indicating that sphingolipid-producing bacteria play a major role in processing dietary sphinganine. Comparative metabolomics of cecal microbiota from SAA-treated mice revealed conversion of SAA to a suite of dihydroceramides, consistent with metabolic activities of Bacteroides and Bifidobacterium. Additionally, other sphingolipid-interacting microbes were identified with a focus on an uncharacterized ability of Bacteroides and Bifidobacterium to metabolize dietary sphingolipids. We conclude that BOSSS provides a platform to study the flux of virtually any alkyne-labeled metabolite in diet–microbiome interactions.




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Hepatic Deletion of Mboat7 (Lpiat1) Causes Activation of SREBP-1c and Fatty Liver [Research Articles]

Genetic variants that increase the risk of fatty liver disease (FLD) and cirrhosis have recently been identified in the proximity of membrane bound O-acyltransferase domain-containing 7 (MBOAT7).  To elucidate the link between these variants and FLD we characterized Mboat7 liver-specific knock-out mice (Mboat7-LSKO).  Chow-fed Mboat7-LSKO mice developed fatty livers and associated liver injury.  Lipidomic analysis of liver using mass spectrometry revealed a pronounced reduction in 20-carbon polyunsaturated fatty acid content in phosphatidylinositols (PIs), but not in other phospholipids. The change in fatty acid composition of PIs in these mice was associated with a marked increase in de novo lipogenesis due to activation of SREBP-1c, a transcription factor that coordinates the activation of genes encoding enzymes in the fatty acid biosynthesis pathway. Hepatic removal of both SREBP cleavage activating protein (Scap) and Mboat7 normalized hepatic triglycerides relative to Scap only hepatic knock-out showing increased SREBP-1c processing is required for Mboat7 induced steatosis.  This study reveals a clear relationship between PI fatty acid composition and regulation of hepatic fat synthesis and delineates the mechanism by which mutations in MBOAT7 cause hepatic steatosis.




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High-density lipoprotein-associated miRNA is increased following Roux-en-Y gastric bypass surgery for severe obesity [Research Articles]

Roux-en-Y gastric bypass (RYGB) is one of the most commonly performed weight-loss procedures, but how severe obesity and RYGB affects circulating HDL-associated microRNAs (miRNAs) remains unclear. Here, we aim to investigate how HDL-associated miRNAs are regulated in severe obesity and how weight loss after RYGB surgery affects HDL-miRNAs. Plasma HDL were isolated from patients with severe obesity (n=53) before, 6 and 12 months after RYGB by immunoprecipitation using goat anti-human apoA-I microbeads. HDL were also isolated from 18 healthy participants. miRNAs were extracted from isolated HDL and levels of miR-24, miR-126, miR-222 and miR-223 were determined by TaqMan miRNA assays. We found that HDL-associated miR-126, miR-222 and miR-223 levels, but not miR-24 levels, were significantly higher in patients with severe obesity when compared with healthy controls. There were significant increases in HDL-associated miR-24, miR-222 and miR-223 at 12 months after RYGB. Additionally, cholesterol efflux capacity and paraoxonase (PON1) activity were increased and intracellular adhesion molecule-1 (ICAM-1) levels decreased. The increases in HDL-associated miR-24 and miR-223 were positively correlated with increase in cholesterol efflux capacity (r=0.326, P=0.027 and r=0.349, P=0.017 respectively). An inverse correlation was observed between HDL-associated miR-223 and ICAM-1 at baseline. Together, these findings show that HDL-associated miRNAs are differentially regulated in healthy versus patients with severe obesity and are altered after RYGB. These findings provide insights into how miRNAs are regulated in obesity before and after weight reduction, and may lead to the development of novel treatment strategies for obesity and related metabolic disorders.




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Adiponectin forms a complex with atherogenic LDL and inhibits its downstream effects [Research Articles]

Adiponectin, an adipocyte-derived protein, has anti-atherogenic and anti-diabetic effects, but how it confers the anti-atherogenic effects is not well understood. To study the anti-atherogenic mechanisms of adiponectin, we examined whether it interacts with atherogenic low-density lipoprotein (LDL) to attenuate LDL’s atherogenicity. L5, the most electronegative subfraction of LDL, induces atherogenic responses similarly to copper-oxidized LDL (oxLDL). Unlike native LDL endocytosed via the LDL receptor, L5 and oxLDL are internalized by cells via the lectin-like oxidized LDL receptor-1 (LOX-1). Using enzyme-linked immunosorbent assays (ELISAs), we showed that adiponectin preferentially bound oxLDL but not native LDL. In Chinese hamster ovary (CHO) cells transfected with LOX-1 or LDL receptor, adiponectin selectively inhibited the uptake of oxLDL but not of native LDL, respectively. Furthermore, adiponectin suppressed the internalization of oxLDL in human coronary artery endothelial cells (HCAECs) and THP-1–derived macrophages. Western blot analysis of human plasma showed that adiponectin was abundant in L5 but not in L1, the least electronegative subfraction of LDL. Sandwich ELISAs with anti-adiponectin and anti–apolipoprotein B antibodies confirmed the binding of adiponectin to L5 and oxLDL. In LOX-1–expressing CHO cells, adiponectin inhibited cellular responses to oxLDL and L5, including nuclear factor-B activation and ERK phosphorylation. In HCAECs, adiponectin inhibited oxLDL-induced endothelin-1 secretion and ERK phosphorylation. Conversely, oxLDL suppressed the adiponectin-induced activation of adenosine monophosphate–activated protein kinase in COS-7 cells expressing adiponectin receptor AdipoR1. Our findings suggest that adiponectin binds and inactivates atherogenic LDL, providing novel insight into the anti-atherogenic mechanisms of adiponectin.




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Structure dynamics of ApoA-I amyloidogenic variants in small HDL increase their ability to mediate cholesterol efflux [Research Articles]

Apolipoprotein A-I (ApoA-I) of high-density lipoprotein (HDL) is essential for the transportation of cholesterol between peripheral tissues and the liver. However, specific mutations in Apolipoprotein A-I (ApoA-I) of high-density lipoprotein (HDL) are responsible for a late-onset systemic amyloidosis, the pathological accumulation of protein fibrils in tissues and organs. Carriers of these mutations do not exhibit increased cardiovascular disease risk despite displaying reduced levels of ApoA-I/ HDL-cholesterol. To explain this paradox, we show that the HDL particle profile of patients carrying either L75P or L174S ApoA-I amyloidogenic variants a higher relative abundance of the 8.4 nm vs 9.6 nm particles, and that serum from patients, as well as reconstituted 8.4 and 9.6 nm HDL particles (rHDL), possess increased capacity to catalyze cholesterol efflux from macrophages. Synchrotron radiation circular dichroism and hydrogen-deuterium exchange revealed that the variants in 8.4 nm rHDL have altered secondary structure composition and display a more flexible binding to lipids compared to their native counterpart. The reduced HDL-cholesterol levels of patients carrying ApoA-I amyloidogenic variants are thus balanced by higher proportion of small, dense HDL particles and better cholesterol efflux due to altered, region-specific protein structure dynamics.




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Insights on the kinetics and dynamics of the furin-cleaved form of PCSK9 [Research Articles]

Proprotein convertase subtilisin/kexin type 9 (PCSK9) regulates cholesterol metabolism by inducing the degradation of hepatic low-density lipoprotein receptor (LDLR). Plasma PCSK9 has two main molecular forms: a 62-kDa mature form (PCSK9_62) and a 55-kDa, furin-cleaved form (PCSK9_55). PCSK9_55 is considered less active than PCSK9_62 in degrading LDLR. We aimed to identify the site of PCSK9_55 formation (intra- vs. extracellular) and to further characterize the LDLR-degradative function of PCSK9_55 relative to PCSK9_62. Co-expressing PCSK9_62 with furin in cell culture induced formation of PCSK9_55, most of which was found in the extracellular space. Under the same conditions we found that: i) adding a cell-permeable furin inhibitor preferentially decreased the formation of PCSK9_55 extracellularly; ii) using pulse-chase, we observed the formation of PCSK9_55 exclusively extracellularly in a time-dependent manner. A recombinant form of PCSK9_55 was efficiently produced but displayed impaired secretion that resulted in its intracellular trapping. However, the non-secreted PCSK9_55 was able to induce degradation of LDLR, though with 50% lower efficiency compared with PCSK9_62. Collectively, our data show that PCSK9_55 is generated in the extracellular space, and that intracellular PCSK9_55 is not secreted but retains the ability to degrade the LDLR through an intracellular pathway.




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Generation and validation of a conditional knockout mouse model for the study of the Smith-Lemli-Opitz Syndrome [Research Articles]

Smith-Lemli-Opitz Syndrome (SLOS) is a developmental disorder (OMIM #270400) caused by autosomal recessive mutations in the Dhcr7 gene, which encodes the enzyme 3β-hydroxysterol-7 reductase. SLOS patients present clinically with dysmorphology and neurological, behavioral and cognitive defects, with characteristically elevated levels of 7-dehydrocholesterol (7-DHC) in all bodily tissues and fluids. Previous mouse models of SLOS have been hampered by postnatal lethality when Dhcr7 is knocked out globally, while a hypomorphic mouse model showed improvement in the biochemical phenotype with ageing, and did not manifest most other characteristic features of SLOS. We report the generation of a conditional knockout of Dhcr7 (Dhcr7flx/flx), validated by generating a mouse with a liver-specific deletion (Dhcr7L-KO). Phenotypic characterization of liver-specific knockout mice revealed no significant changes in viability, fertility, growth curves, liver architecture, hepatic triglyceride secretion, or parameters of systemic glucose homeostasis. Furthermore, qPCR and RNA-Seq analyses of livers revealed no perturbations in pathways responsible for cholesterol synthesis, either in male or female Dhcr7L-KO mice, suggesting hepatic disruption of post-squalene cholesterol synthesis leads to minimal impact on sterol metabolism in the liver. This validated conditional Dhcr7 knockout model may now allow us to systematically explore the pathophysiology of SLOS, by allowing for temporal, cell and tissue-specific loss of DHCR7.




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rHDL modelling and the anchoring mechanism of LCAT activation [Research Articles]

Lecithin:cholesterol-acyl-transferase (LCAT) plays a major role in cholesterol metabolism as it is the only extracellular enzyme able to esterify cholesterol. LCAT activity is required for lipoprotein remodelling and, most specifically, for the growth and maturation of HDLs. In fact, genetic alterations affecting LCAT func- tionality may cause a severe reduction in plasma levels of HDL-cholesterol with important clinical consequences. Although several hypotheses were formulated, the exact molecular recognition mechanism between LCAT and HDLs is still unknown. We employed a combination of structural bioinformatics procedures to deepen the insights into the HDL-LCAT interplay that promotes LCAT activation and cholesterol esterification. We have generated a data-driven model of reconstituted HDL (rHDL) and studied the dynamics of an assembled rHDL::LCAT supramolecular complex, pinpointing the conformational changes originating from the interaction between LCAT and apolipoprotein A-I (apoA-I) that are necessary for LCAT activation. Specifically, we propose a mechanism in which the anchoring of LCAT lid to apoA-I helices allows the formation of a hydrophobic hood that expands LCAT active site and shields it from the solvent, allowing the enzyme to process large hydrophobic substrates.




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Human CETP lacks lipopolysaccharide transfer activity, but worsens inflammation and sepsis outcomes in mice [Research Articles]

Bacterial lipopolysaccharides (LPSs or endotoxins) can bind most proteins of the lipid transfer/LPS-binding protein (LT/LBP) family in host organisms. The LPS-bound LT/LBP proteins then trigger either an LPS-induced proinflammatory cascade or LPS binding to lipoproteins that are involved in endotoxin inactivation and detoxification. Cholesteryl ester transfer protein (CETP) is an LT/LBP member, but its impact on LPS metabolism and sepsis outcome is unclear. Here, we performed fluorescent LPS transfer assays to assess the ability of CETP to bind and transfer LPS. The effects of intravenous (iv) infusion of purified LPS or polymicrobial infection (cecal ligation and puncture [CLP]) were compared in transgenic mice expressing human CETP and wild-type mice naturally having no CETP activity. CETP displayed no LPS transfer activity in vitro, but it tended to reduce biliary excretion of LPS in vivo. The CETP expression in mice was associated with significantly lower basal plasma lipid levels and with higher mortality rates in both models of endotoxemia and sepsis. Furthermore, CETPTg plasma modified cytokine production of macrophages in vitro. In conclusion, despite having no direct LPS binding and transfer property, human CETP worsens sepsis outcomes in mice by altering the protective effects of plasma lipoproteins against endotoxemia, inflammation, and infection.




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Mutation in the distal NPxY motif of LRP1 alleviates dietary cholesterol-induced dyslipidemia and tissue inflammation [Research Articles]

The LDL receptor-related protein-1 (LRP1) is highly expressed in numerous cell types, and its impairment is associated with obesity, diabetes, and fatty liver disease. However, the mechanisms linking LRP1 to metabolic disease are not completely understood. Here, we compared the metabolic phenotype of C57BL/6J wild type and LRP1 knock-in mice carrying an inactivating mutation in the distal NPxY motif after feeding a low fat (LF) diet or high fat diets with (HFHC) or without (HF) cholesterol supplementation. In response to HF feeding, both groups developed hyperglycemia, hyperinsulinemia, and hyperlipidemia, as well as increased adiposity with adipose tissue inflammation and liver steatosis. However, when animals were fed the HF diet supplemented with cholesterol, the LRP1 NPxY mutation prevents hypercholesterolemia, reduces adipose tissue and brain inflammation, and limits liver progression to steatohepatitis. Nevertheless, insulin signaling is impaired in LRP1 NPxY mutant hepatocytes and this mutation does not protect against HFHC-induced insulin resistance. The selective metabolic improvement observed in HFHC-fed LRP1 NPxY mutant mice is due to an apparent increase of hepatic LDL receptor levels, leading to an elevated rate of plasma lipoprotein clearance and lowering of plasma and hepatic cholesterol levels. The unique metabolic phenotypes displayed by LRP1 NPxY mutant mice in response to HF or HFHC diet feeding indicate an LRP1-cholesterol axis in modulating tissue inflammation. The LRP1 NPxY mutant mouse phenotype differs from phenotypes observed in mice with tissue-specific LRP1 inactivation, thus highlighting the importance of an integrative approach to evaluate how global LRP1 dysfunction contributes to metabolic disease development.




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Distinct patterns of apolipoprotein C-I, C-II and C-III isoforms are associated with markers of Alzheimers disease [Research Articles]

Apolipoproteins C-I, C-II and C-III interact with ApoE to regulate lipoprotein metabolism and contribute to Alzheimer’s disease pathophysiology. In plasma, apoC-I and C-II exist as truncated isoforms, while apoC-III exhibits multiple glycoforms. This study aimed to 1. delineate apoC-I, C-II and C-III isoform profiles in CSF and plasma in a cohort of non-demented older individuals (n = 61), and 2. examine the effect of APOE4 on these isoforms and their correlation with CSF Aβ42, a surrogate of brain amyloid accumulation. The isoforms of the apoCs were immunoaffinity enriched and measured with MALDI-TOF mass spectrometry, revealing a significantly higher percentage of truncated apoC-I and apoC-II in CSF compared to matched plasma, with positive correlation between CSF and plasma. A greater percentage of monosialylated and disialylated apoC-III isoforms was detected in CSF, accompanied by a lower percentage of the two non-sialylated apoC-III isoforms, with significant linear correlations between CSF and plasma. Furthermore, a greater percentage of truncated apoC-I in CSF, and apoC-II in plasma and CSF, was observed in individuals carrying at least one apoE E4 allele. Increased apoC-I and apoC-II truncations were  associated with lower CSF Aβ42. Finally, monosialylated apoC-III was lower, and disialylated apoC-III greater in the CSF of E4 carriers. Together, these results reveal distinct patterns of the apoCs isoforms in CSF, implying CSF-specific apoCs processing. These patterns were accentuated in APOE E4 allele carriers, suggesting an association between APOE4 genotype and Alzheimer’s disease pathology with apoCs processing and function in the brain.




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Deletion of lysophosphatidylcholine acyltransferase3 in myeloid cells worsens hepatic steatosis after a high fat diet [Research Articles]

Recent studies have highlighted an important role for lysophosphatidylcholine acyltransferase 3 (LPCAT3) in controlling the PUFA composition of cell membranes in the liver and intestine. In these organs, LPCAT3 critically supports cell membrane-associated processes such as lipid absorption or lipoprotein secretion. However, the role of LPCAT3 in macrophages remains controversial. Here, we investigated LPCAT3’s role in macrophages both in vitro and in vivo in mice with atherosclerosis and obesity. To accomplish this, we used the LysMCre strategy to develop a mouse model with conditional Lpcat3 deficiency in myeloid cells (Lpcat3KOMac). We observed that partial Lpcat3 deficiency (approx. 75% reduction) in macrophages alters the PUFA composition of all phospholipid (PL) subclasses, including phosphatidylinositols and phosphatidylserines. A reduced incorporation of C20 PUFAs (mainly arachidonic acid [AA]) into PLs was associated with a redistribution of these FAs toward other cellular lipids such as cholesteryl esters. Lpcat3 deficiency had no obvious impact on macrophage inflammatory response or endoplasmic reticulum (ER) stress; however, Lpcat3KOMac macrophages exhibited a reduction in cholesterol efflux in vitro. In vivo, myeloid Lpcat3 deficiency did not affect atherosclerosis development in LDL receptor deficient mouse (Ldlr-/-) mice. Lpcat3KOMac mice on a high-fat diet displayed a mild increase in hepatic steatosis associated with alterations in several liver metabolic pathways and in liver eicosanoid composition. We conclude that alterations in AA metabolism along with myeloid Lpcat3 deficiency may secondarily affect AA homeostasis in the whole liver, leading to metabolic disorders and triglyceride accumulation.




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Perilipin 5 S155 phosphorylation by PKA is required for the control of hepatic lipid metabolism and glycemic control [Research Articles]

Perilipin (PLIN) 5 is a lipid droplet-associated protein that coordinates intracellular lipolysis in highly oxidative tissues and is thought to regulate lipid metabolism in response to phosphorylation by protein kinase A (PKA). We sought to identify PKA phosphorylation sites in PLIN5 and assess their functional relevance in cultured cells and the livers of mice. We detected phosphorylation on S155, S161 and S163 of recombinant PLIN5 by PKA in vitro and identified S155 as a functionally important site for lipid metabolism. Expression of phosphorylation-defective PLIN5 S155A in Plin5 null cells resulted in decreased rates of lipolysis and triglyceride-derived fatty acid oxidation compared with cells expressing wildtype PLIN5. These differences in lipid metabolism were not associated with differences in the cellular distribution of PLIN5. Rather, FLIM-FRET analysis of protein-protein interactions showed that PLIN5 S155 phosphorylation regulates PLIN5 interaction with adipose triglyceride lipase (ATGL) at the lipid droplet, but not with the co-activator of ATGL, α-β hydrolase domain-containing 5 (ABHD5). Re-expression of PLIN5 S155A in the liver of Plin5 liver-specific null mice reduced lipolysis when compared to mice with wildtype PLIN5 re-expression, but was not associated with other changes in hepatic lipid metabolism, such as fatty acid oxidation, de novo lipogenesis and triglyceride secretion. Furthermore, glycemic control was impaired in mice with expression of PLIN5 S155A compared with mice expressing PLIN5. Together, these studies demonstrate that PLIN5 S155 is required for PKA-mediated lipolysis and builds on the body of evidence demonstrating a critical role for PLIN5 in coordinating lipid and glucose metabolism




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Lipid signature of advanced human carotid atherosclerosis assessed by mass spectrometry imaging [Research Articles]

Carotid atherosclerosis is a risk factor for ischemic stroke, one of the main causes of mortality and disability worldwide. The disease is characterized by plaques, heterogeneous deposits of lipids and necrotic debris in the vascular wall, which grow gradually and may remain asymptomatic for decades. However, at some point a plaque can evolve to a high-risk plaque phenotype, which may trigger a cerebrovascular event. Lipids play a key role in the development and progression of atherosclerosis, but the nature of their involvement is not fully understood. Using matrix-assisted laser desorption/ionization mass spectrometry imaging, we visualized the distribution of approximately 200 different lipid signals, originating of > 90 uniquely assigned species, in 106 tissue sections of 12 human carotid atherosclerotic plaques. We performed unsupervised classification of the mass spectrometry dataset, as well as a histology-directed multivariate analysis. These data allowed us to extract the spatial lipid patterns associated with morphological plaque features in advanced plaques from a symptomatic population, revealing spatial lipid patterns in atherosclerosis and their relation to histological tissue type. The abundances of sphingomyelin and oxidized cholesteryl ester species were elevated specifically in necrotic intima areas, while diacylglycerols and triacylglycerols were spatially correlated to areas containing the coagulation protein fibrin. These results demonstrate a clear co-localization between plaque features and specific lipid classes, as well as individual lipid species in high-risk atherosclerotic plaques.




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Gene Networks and Pathways for Plasma Lipid Traits via Multi-tissue Multi-omics Systems Analysis [Research Articles]

Genome-wide association studies (GWAS) have implicated ~380 genetic loci for plasma lipid regulation. However, these loci only explain 17-27% of the trait variance and a comprehensive understanding of the molecular mechanisms has not been achieved. In this study, we utilized an integrative genomics approach leveraging diverse genomic data from human populations to investigate whether genetic variants associated with various plasma lipid traits, namely total cholesterol (TC), high and low density lipoprotein cholesterol (HDL and LDL), and triglycerides (TG), from GWAS were concentrated on specific parts of tissue-specific gene regulatory networks. In addition to the expected lipid metabolism pathways, gene subnetworks involved in ‘interferon signaling’, ‘autoimmune/immune activation’, ‘visual transduction’, and ‘protein catabolism’ were significantly associated with all lipid traits. Additionally, we detected trait-specific subnetworks, including cadherin-associated subnetworks for LDL, glutathione metabolism for HDL, valine, leucine and isoleucine biosynthesis for TC, and insulin signaling and complement pathways for TG. Finally, utilizing gene-gene relations revealed by tissue-specific gene regulatory networks, we detected both known (e.g. APOH, APOA4, and ABCA1) and novel (e.g. F2 in adipose tissue) key regulator genes in these lipid-associated subnetworks. Knockdown of the F2 gene (Coagulation Factor II, Thrombin) in 3T3-L1 and C3H10T1/2 adipocytes reduced gene expression of Abcb11, Apoa5, Apof, Fabp1, Lipc, and Cd36, reduced intracellular adipocyte lipid content, and increased extracellular lipid content, supporting a link between adipose thrombin and lipid regulation. Our results shed light on the complex mechanisms underlying lipid metabolism and highlight potential novel targets for lipid regulation and lipid-associated diseases.




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Human glucocerebrosidase mediates formation of xylosyl-cholesterol by {beta}-xylosidase and transxylosidase reactions. [Research Articles]

Deficiency of glucocerebrosidase (GBA), a lysosomal β-glucosidase, causes Gaucher disease. The enzyme hydrolyzes β-glucosidic substrates and transglucosylates cholesterol to cholesterol-β-glucoside. Here we show that recombinant human GBA also cleaves β-xylosides and transxylosylates cholesterol. The xylosyl-cholesterol formed acts as acceptor for subsequent formation of di-xylosyl-cholesterol. Common mutant forms of GBA from patients with Gaucher disease with reduced β-glucosidase activity were similarly impaired in β-xylosidase, transglucosidase and transxylosidase activities, except for a slightly reduced xylosidase/glucosidase activity ratio of N370S GBA and a slightly reduced transglucosylation/glucosidase activity ratio of D409H GBA. XylChol was found to be reduced in spleen from Gaucher disease patients. The origin of newly identified XylChol in mouse and human tissues was investigated. Cultured human cells exposed to exogenous β-xylosides generated XylChol in a manner dependent on active lysosomal GBA but not the cytosol-facing β-glucosidase GBA2. We later sought an endogenous β-xyloside acting as donor in transxylosylation reactions, identifying xylosylated ceramide (XylCer) in cells and tissues that serve as donor in the formation of XylChol. UDP-glucosylceramide synthase (GCS) was unable to synthesize XylChol but could catalyse formation of XylCer. Thus, food-derived β-D-xyloside and XylCer are potential donors for the GBA-mediated formation of XylChol in cells. The enzyme GCS produces XylCer at a low rate. Our findings point to further catalytic versatility of GBA and prompt a systematic exploration of the distribution and role of xylosylated lipids.




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Palmitoylation of acetylated tubulin and association with ceramide-rich platforms is critical for ciliogenesis [Research Articles]

Microtubules are polymers composed of αβ-tubulin subunits that provide structure to cells and play a crucial role in in the development and function of neuronal processes and cilia, microtubule-driven extensions of the plasma membrane that have sensory (primary cilia) or motor (motile cilia) functions. To stabilize microtubules in neuronal processes and cilia, α tubulin is modified by the posttranslational addition of an acetyl group, or acetylation. We discovered that acetylated tubulin in microtubules interacts with the membrane sphingolipid, ceramide. However, the molecular mechanism and function of this interaction are not understood. Here, we show that in human iPS cell-derived neurons, ceramide stabilizes microtubules, which indicates a similar function in cilia. Using proximity ligation assays, we detected complex formation of ceramide with acetylated tubulin in C. reinhardtii flagella and cilia of human embryonic kidney (HEK293T) cells, primary cultured mouse astrocytes, and ependymal cells. Using incorporation of palmitic azide and click chemistry-mediated addition of fluorophores, we show that a portion of acetylated tubulin is S-palmitoylated. S-palmitoylated acetylated tubulin is colocalized with ceramide-rich platforms (CRPs) in the ciliary membrane, and it is coimmunoprecipitated with Arl13b, a GTPase that mediates transport of proteins into cilia. Inhibition of S-palmitoylation with 2-bromo palmitic acid or inhibition of ceramide biosynthesis with fumonisin B1 reduces formation of the Arl13b-acetylated tubulin complex and its transport into cilia, concurrent with impairment of ciliogenesis. Together, these data show, for the first time, that CRPs mediate membrane anchoring and interaction of S-palmitoylated proteins that are critical for cilium formation, stabilization, and function. 




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Angiopoietin-like protein 3 governs LDL-cholesterol levels through endothelial lipase-dependent VLDL clearance [Research Articles]

Angiopoietin-like protein (ANGPTL)3 regulates plasma lipids by inhibiting LPL and endothelial lipase (EL). ANGPTL3 inactivation lowers LDL-C independently of the classical LDLR-mediated pathway and represents a promising therapeutic approach for individuals with homozygous familial hypercholesterolemia due to LDLR mutations. Yet, how ANGPTL3 regulates LDL-C levels is unknown. Here, we demonstrate in hyperlipidemic humans and mice that ANGPTL3 controls VLDL catabolism upstream of LDL. Using kinetic, lipidomic, and biophysical studies, we show that ANGPTL3 inhibition reduces VLDL-lipid content and size, generating remnant particles that are efficiently removed from the circulation. This suggests that ANGPTL3 inhibition lowers LDL-C by limiting LDL particle production. Mechanistically, we discovered that EL is a key mediator of ANGPTL3’s novel pathway. Our experiments revealed that, although dispensable in the presence of LDLR, EL-mediated processing of VLDL becomes critical for LDLR-independent particle clearance. In the absence of EL and LDLR, ANGPTL3 inhibition perturbed VLDL catabolism, promoted accumulation of atypical remnants, and failed to reduce LDL-C. Taken together, we uncover ANGPTL3 at the helm of a novel EL-dependent pathway that lowers LDL-C in the absence of LDLR.




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Generation and characterization of LPA-KIV9, a murine monoclonal antibody binding a single site on apolipoprotein (a) [Research Articles]

Lipoprotein (a) [Lp(a)] is a risk factor for CVD and a target of therapy, but Lp(a) measurements are not globally standardized. Commercially available assays generally use polyclonal antibodies that detect multiple sites within the kringle (K)IV2 repeat region of Lp(a) and may lead to inaccurate assessments of plasma levels. With increasing awareness of Lp(a) as a cardiovascular risk factor and the active clinical development of new potential therapeutic approaches, the broad availability of reagents capable of providing isoform independence of Lp(a) measurements is paramount. To address this issue, we generated a murine monoclonal antibody that binds to only one site on apo(a). A BALB/C mouse was immunized with a truncated version of apo(a) that contained eight total KIV repeats, including only one copy of KIV2. We generated hybridomas, screened them, and successfully produced a KIV2-independent monoclonal antibody, named LPA-KIV9. Using a variety of truncated apo(a) constructs to map its binding site, we found that LPA-KIV9 binds to KIV9 without binding to plasminogen. Fine peptide mapping revealed that LPA-KIV9 bound to the sequence 4076LETPTVV4082 on KIV9. In conclusion, the generation of monoclonal antibody LPA-KIV9 may be a useful reagent in basic research studies and in the clinical application of Lp(a) measurements.




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Prognostic utility of triglyceride-rich lipoprotein-related markers in patients with coronary artery disease [Research Articles]

TG-rich lipoprotein (TRL)-related biomarkers, including TRL-cholesterol (TRL-C), remnant-like lipoprotein particle-cholesterol (RLP-C), and apoC-III have been associated with atherosclerosis. However, their prognostic values have not been fully determined, especially in patients with previous CAD. This study aimed to examine the associations of TRL-C, RLP-C, and apoC-III with incident cardiovascular events (CVEs) in the setting of secondary prevention of CAD. Plasma TRL-C, RLP-C, and total apoC-III were directly measured. A total of 4,355 participants with angiographically confirmed CAD were followed up for the occurrence of CVEs. During a median follow-up period of 5.1 years (interquartile range: 3.9–6.4 years), 543 (12.5%) events occurred. Patients with incident CVEs had significantly higher levels of TRL-C, RLP-C, and apoC-III than those without events. Multivariable Cox analysis indicated that a log unit increase in TRL-C, RLP-C, and apoC-III increased the risk of CVEs by 49% (95% CI: 1.16–1.93), 21% (95% CI: 1.09–1.35), and 40% (95% CI: 1.11–1.77), respectively. High TRL-C, RLP-C, and apoC-III were also independent predictors of CVEs in individuals with LDL-C levels ≤1.8 mmol/l (n = 1,068). The addition of RLP-C level to a prediction model resulted in a significant increase in discrimination, and all three TRL biomarkers improved risk reclassification. Thus, TRL-C, RLP-C, and apoC-III levels were independently associated with incident CVEs in Chinese CAD patients undergoing statin therapy.




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The structural basis for monoclonal antibody 5D2 binding to the tryptophan-rich loop of lipoprotein lipase [Research Articles]

For three decades, the LPL–specific monoclonal antibody 5D2 has been used to investigate LPL structure/function and intravascular lipolysis. 5D2 has been used to measure LPL levels, block the triglyceride hydrolase activity of LPL, and prevent the propensity of concentrated LPL preparations to form homodimers. Two early studies on the location of the 5D2 epitope reached conflicting conclusions, but the more convincing report suggested that 5D2 binds to a tryptophan (Trp)-rich loop in the carboxyl terminus of LPL. The same loop had been implicated in lipoprotein binding. Using surface plasmon resonance, we showed that 5D2 binds with high affinity to a synthetic LPL peptide containing the Trp-rich loop of human (but not mouse) LPL. We also showed, by both fluorescence and UV resonance Raman spectroscopy, that the Trp-rich loop binds lipids. Finally, we used X-ray crystallography to solve the structure of the Trp-rich peptide bound to a 5D2 Fab fragment. The Trp-rich peptide contains a short α-helix, with two Trps projecting into the antigen recognition site. A proline substitution in the α-helix, found in mouse LPL, is expected to interfere with several hydrogen bonds, explaining why 5D2 cannot bind to mouse LPL.




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Different rates of flux through the biosynthetic pathway for long-chain versus very-long-chain sphingolipids [Research Articles]

The backbone of all sphingolipids (SLs) is a sphingoid long-chain base (LCB) to which a fatty acid is N-acylated. Considerable variability exists in the chain length and degree of saturation of both of these hydrophobic chains, and recent work has implicated ceramides with different LCBs and N-acyl chains in distinct biological processes; moreover, they may play different roles in disease states and possibly even act as prognostic markers. We now demonstrate that the half-life, or turnover rate, of ceramides containing diverse N-acyl chains is different. By means of a pulse-labeling protocol using stable-isotope, deuterated free fatty acids, and following their incorporation into ceramide and downstream SLs, we show that very-long-chain (VLC) ceramides containing C24:0 or C24:1 fatty acids turn over much more rapidly than long-chain (LC) ceramides containing C16:0 or C18:0 fatty acids due to the more rapid metabolism of the former into VLC sphingomyelin and VLC hexosylceramide. In contrast, d16:1 and d18:1 ceramides show similar rates of turnover, indicating that the length of the sphingoid LCB does not influence the flux of ceramides through the biosynthetic pathway. Together, these data demonstrate that the N-acyl chain length of SLs may not only affect membrane biophysical properties but also influence the rate of metabolism of SLs so as to regulate their levels and perhaps their biological functions.




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Depletion of adipocyte sphingosine kinase 1 leads to cell hypertrophy, impaired lipolysis, and nonalcoholic fatty liver disease [Research Articles]

Sphingolipids have become established participants in the pathogenesis of obesity and its associated maladies. Sphingosine kinase 1 (SPHK1), which generates S1P, has been shown to increase in liver and adipose of obese humans and mice and to regulate inflammation in hepatocytes and adipose tissue, insulin resistance, and systemic inflammation in mouse models of obesity. Previous studies by us and others have demonstrated that global sphingosine kinase 1 KO mice are protected from diet-induced obesity, insulin resistance, systemic inflammation, and NAFLD, suggesting that SPHK1 may mediate pathological outcomes of obesity. As adipose tissue dysfunction has gained recognition as a central instigator of obesity-induced metabolic disease, we hypothesized that SPHK1 intrinsic to adipocytes may contribute to HFD-induced metabolic pathology. To test this, we depleted Sphk1 from adipocytes in mice (SK1fatKO) and placed them on a HFD. In contrast to our initial hypothesis, SK1fatKO mice displayed greater weight gain on HFD and exacerbated impairment in glucose clearance. Pro-inflammatory cytokines and neutrophil content of adipose tissue were similar, as were levels of circulating leptin and adiponectin. However, SPHK1-null adipocytes were hypertrophied and had lower basal lipolytic activity. Interestingly, hepatocyte triacylglycerol accumulation and expression of pro-inflammatory cytokines and collagen 1a1 were exacerbated in SK1fatKO mice on a HFD, implicating a specific role for adipocyte SPHK1 in adipocyte function and inter-organ cross-talk that maintains overall metabolic homeostasis in obesity. Thus, SPHK1 serves a previously unidentified essential homeostatic role in adipocytes that protects from obesity-associated pathology. These findings may have implications for pharmacological targeting of the SPHK1/S1P signaling axis.




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Serum lipoprotein (a) associates with a higher risk of reduced renal function: a prospective investigation [Research Articles]

Lipoprotein (a) [Lp(a)] is a well-known risk factor for cardiovascular disease, but analysis on Lp(a) and renal dysfunction is scarce. We aimed to investigate prospectively the association of serum Lp(a) with the risk of reduced renal function, and further investigated whether diabetic or hypertensive status modified such association. Six thousand two hundred and fifty-seven Chinese adults aged ≤40 years and free of reduced renal function at baseline were included in the study. Reduced renal function was defined as estimated glomerular filtration rate <60 ml/min/1.73 m2. During a mean follow-up of 4.4 years, 158 participants developed reduced renal function. Each one-unit increase in log10-Lp(a) (milligrams per deciliter) was associated with a 1.99-fold (95% CI 1.15–3.43) increased risk of incident reduced renal function; the multivariable-adjusted odds ratio (OR) for the highest tertile of Lp(a) was 1.61 (95% CI 1.03–2.52) compared with the lowest tertile (P for trend = 0.03). The stratified analysis showed the association of serum Lp(a) and incident reduced renal function was more prominent in participants with prevalent diabetes [OR 4.04, 95% CI (1.42–11.54)] or hypertension [OR 2.18, 95% CI (1.22–3.89)]. A stronger association was observed in the group with diabetes and high Lp(a) (>25 mg/dl), indicating a combined effect of diabetes and high Lp(a) on the reduced renal function risk. An elevated Lp(a) level was independently associated with risk of incident reduced renal function, especially in diabetic or hypertensive patients.