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Lower CMR-measured venous flow linked to Fontan outcomes at moderate altitude

21 October 2026 at 22:55

Cardiovascular magnetic resonance measurements identified a hemodynamic pattern associated with death or heart-transplant referral or listing in people with Fontan circulation, according to a retrospective study of 182 patients followed at a moderate-altitude center. Patients who later experienced the composite outcome had a lower superior vena cava flow index than those who did not. In time-to-event analysis, each 0.1-liter-per-minute-per-square-meter increase in the indexed flow was associated with a 30% lower hazard of the outcome.

The association remained in an exploratory model that also included ventricular ejection fraction, but the researchers said the estimate requires prospective, multicenter validation before clinical application. The cohort comprised people who had undergone Fontan palliation between 1999 and 2021 at a tertiary institution approximately 5,118 feet above sea level. Fontan circulation passively directs systemic venous blood into the pulmonary arteries without the support of a sub-pulmonary ventricle.

Eligible participants had a clinically indicated CMR examination at least five years after Fontan completion, a threshold selected to match the center’s routine surveillance practice. For patients with multiple examinations, investigators used the last CMR obtained before an outcome or censoring. Most participants, 173 of 182, or 95%, had an extracardiac conduit Fontan circulation, and 76, or 42%, underwent a Damus–Kaye–Stansel anastomosis.

At CMR, the median body surface area was 1.43 square meters, with an interquartile range of 1.16 to 1.69 square meters. The median age at Fontan completion was 3.2 years, and the median interval between surgery and imaging was 10.9 years. Median follow-up after CMR was 4.7 years, while participants’ median home elevation was 5,221 feet above sea level.

Hypoplastic left heart syndrome was the most common underlying diagnosis, accounting for 35% of the cohort, followed by tricuspid atresia at 30%. The systemic ventricle was left-dominant in 53% and right-dominant in 47%. Magnetic resonance examinations were performed on 1.5- or 3.0-tesla scanners, with cine imaging used to assess ventricular function and phase-contrast sequences used to measure blood flow.

The primary endpoint combined death with referral or listing for heart transplantation. Fourteen patients, or 7.7% of the cohort, met that endpoint during follow-up: two died and 12 were referred or listed for transplantation. Among patients who experienced the outcome, the median time from CMR to the first qualifying event was 1.2 years, with an interquartile range of 0.5 to 2.5 years.

The median superior vena cava flow index was 0.54 liters per minute per square meter among patients with the primary outcome, compared with 0.82 liters per minute per square meter among those without it; the difference was statistically significant, with a p-value of 0.011. The superior vena cava-to-ascending-aorta flow ratio was also lower in the event group, with medians of 0.22 and 0.30, respectively. Several other CMR flow measures did not differ significantly between patients with and without the primary outcome.

These included flow indices in the ascending aorta, right pulmonary artery, left pulmonary artery and inferior vena cava, as well as calculated systemic-to-pulmonary collateral flow. Receiver operating characteristic analysis indicated that superior vena cava flow index discriminated between patients who met the endpoint and those who did not with an area under the curve of 0.74 and a 95% confidence interval of 0.56 to 0.92. A data-derived threshold of 0.66 liters per minute per square meter, selected using the Youden index, yielded 70% sensitivity and 75% specificity.

Kaplan–Meier curves showed significantly poorer event-free survival among patients below that threshold. Because the threshold and discrimination measures came from the same cohort, they are exploratory rather than externally validated clinical cutoffs. Univariable Cox proportional hazards regression found a hazard ratio of 0.70 for each 0.1-liter-per-minute-per-square-meter increase in superior vena cava flow index, with a 95% confidence interval of 0.50 to 0.92 and a p-value of 0.008.

Right-dominant ventricular morphology was also associated with a higher hazard than left-ventricular dominance, with a hazard ratio of 3.21, a 95% confidence interval of 1.00 to 10.29 and a p-value of 0.049. The investigators constructed a two-variable Cox model containing superior vena cava flow index and ejection fraction. Each one-percentage-point increase in ejection fraction was associated with an adjusted hazard ratio of 0.92, with a 95% confidence interval of 0.86 to 0.97.

Because only 14 primary events occurred, the multivariable analysis was deliberately restricted and was intended to test whether the flow association persisted beyond ventricular function rather than develop a full prediction model. Internal bootstrap analysis using 2,500 resamples produced a median hazard ratio of 0.71 for superior vena cava flow index and 0.92 for ejection fraction, close to the original adjusted estimates. Collinearity between the two variables was negligible, with a Spearman absolute correlation below 0.1, an R-squared value of 0.008 and a variance inflation factor of 1.01.

Tests did not indicate violation of the proportional-hazards assumption. Ventricular measures also differed according to morphology: in the right-dominant subgroup, patients with events had larger indexed ventricular volumes and lower ejection fraction than those without events, whereas comparable differences were not statistically significant in the smaller left-dominant event subgroup. The study does not establish why lower superior vena cava flow was associated with poorer outcomes.

One proposed explanation is that chronic hypobaric exposure at moderate altitude promotes pulmonary vasoconstriction and raises pulmonary vascular resistance, potentially restricting passive flow through the Fontan pathway. However, pulmonary vascular resistance was not directly measured, and the cohort included no sea-level comparator, so the study cannot determine whether altitude caused the observed hemodynamic pattern. Other possible contributors include anatomical differences in the superior vena cava, systemic venovenous collateral vessels that divert blood around the pulmonary vascular bed, and differences in preload or single-ventricle filling.

The findings therefore associate reduced indexed flow with an unfavorable hemodynamic state rather than demonstrate a specific underlying mechanism. Important limitations constrain the results. The retrospective, single-center design creates the possibility of selection bias, and clinically performed CMR examinations were not acquired at standardized surveillance intervals.

Selecting the last scan before an outcome or censoring may introduce reverse-causation bias because patients approaching clinical deterioration could have been imaged nearer the event. Clinically relevant potential confounders—including functional class, cardiopulmonary exercise capacity, resting oxygen saturation, natriuretic peptide levels, catheterization-derived Fontan pressure and pulmonary vascular resistance, pulmonary vasodilator therapy, arrhythmia burden and the severity of liver disease—were unavailable or not incorporated. The small number of events also leaves the multivariable estimates vulnerable to overfitting despite the deliberately parsimonious model and bootstrap resampling.

Furthermore, the predominance of fenestrated extracardiac conduit Fontan circulation limits generalizability to other surgical configurations. The results position superior vena cava flow index as a candidate prognostic marker that may complement ventricular size and ejection fraction in longitudinal assessment of Fontan circulation, but they do not establish a clinical measurement rule or treatment strategy. Prospective, multicenter studies comparing cohorts across elevations would be needed to test the temporal relationship, determine whether altitude modifies the association, and establish external validity.

The authors also identified four-dimensional flow CMR as a possible tool for characterizing three-dimensional flow patterns and energy loss within the Fontan pathway. Further work could compare imaging signatures with exercise physiology, biomarkers of end-organ dysfunction and pulmonary vascular imaging. Until those studies are completed, the association between reduced superior vena cava flow and adverse outcomes should be regarded as an exploratory finding that requires independent validation.

Subject of Research: Association between CMR-derived blood flow and adverse outcomes in people with Fontan circulation

Article Title: Cardiovascular magnetic resonance–derived hemodynamics predict adverse outcomes after Fontan palliation

Article References: Platnick, C., Frank, B., Romanowicz, J., Gonzalez De Alba, C., Chase, M., Umer, A., Chaudhuri, N. R., Awori, J., Chauhan, D., Mascio, C. E., Udassi, J. P., & Hedjazi Moghari, M. (2026). Cardiovascular magnetic resonance–derived hemodynamics predict adverse outcomes after Fontan palliation. Frontiers in Cardiovascular Medicine, 13, Article 1937933. https://doi.org/10.3389/fcvm.2026.1937933

Image Credits: AI Generated

DOI: 10.3389/fcvm.2026.1937933

Keywords: Fontan circulation, cardiovascular magnetic resonance, superior vena cava flow, heart transplantation, congenital heart disease, risk stratification, ventricular function, moderate altitude, flow quantification, retrospective cohort, Cardiovascular, magnetic

A gene variant triples the risk of getting Alzheimer's disease — fat buildup in brain cells may be to blame, study finds

19 October 2026 at 20:35

A gene variant called APOE4 dramatically increases the risk of late-onset Alzheimer's disease, the most common form of dementia. Now, emerging research is revealing APOE4's true role in the condition, and a new study pinpoints a possible way to treat it.

Historically, scientists studying Alzheimer's disease have focused on two proteins that accumulate in patients' brains: amyloid-beta and tau. However, there's a "third thing that people didn't pay attention to, until recently," said study co-author Li-Huei Tsai, a neuroscientist at MIT. That third thing is the accumulation of droplets of fat, or lipids, in the brain, she told Live Science.

The APOE gene makes proteins responsible for transporting fat around cells throughout the body and brain. A version of the gene called APOE4, which increases the risk of late-onset Alzheimer's three- to 12-fold, makes proteins that are less efficient at this function, Tsai said. But how APOE4 affects different brain cells was not clearly understood.

Tsai's team has been working to close that gap for about a decade.

"APOE4 can influence many different cell types," she emphasized. "It's not just one cell type."

Zeroing in on the clues

In past laboratory research, Tsai's team found that APOE4 causes a buildup of cholesterol in astrocytes, star-shaped brain cells that support the function of neurons. Genetic analyses suggested that the gene variant may mess with how these cells process fat.

Another study zoomed in on oligodendrocytes, cells that help insulate neurons' outgoing wires with a fatty material called myelin. This material helps neurons send messages more efficiently. APOE4 caused the oligodendrocytes to accumulate cholesterol. So, in lab mice, the team used a drug to help the cells get rid of that extra cholesterol, and it improved the cells' ability to make myelin and the mice's performance on cognitive tests.

In their latest research, published Thursday (Oct. 15) in the journal Cell Stem Cell, Tsai's team dug into the question of why APOE4 causes fat to accumulate in the first place.

They used stem cells to grow APOE4-carrying oligodendrocytes and then turned specific genes on or off, to see if they increased or decreased the formation of fat droplets. This screening pointed to a major group of genes involved in cell-to-cell communication, called the Wnt signaling pathway. This included a key gene called DKK1, which acts as a brake on this signaling system.

Disabling DKK1 — essentially lifting the brake — reduced the concentration of fat droplets in the cells, the team found.

In brain tissue samples from organ donors with APOE4, the team also found signs of low Wnt signaling. This finding "establishes a very strong link" between the signaling pathway and formation of fat droplets, said Rosie Jackson, a cell biologist at the University of Dundee who was not involved in this study.

A close up on an axon with myelin shown in orange

Myelin (orange) is a fatty material that coats the outgoing wires of many neurons, helping the cells send signals more efficiently. (Image credit: koto_feja via Getty Images)

APOE4's effects across the brain

The researchers then investigated exactly how Wnt signaling was disrupted in oligodendrocytes.

APOE4 seemed to decrease the cells' supply of a protein that helps relay Wnt signals. That helpful protein was being broken down by an enzyme whose levels had been boosted by the APOE4. In mice, the team used a drug to block that extra enzyme, and the treatment ultimately restored normal Wnt signaling, reduced fat buildup, and helped the cells make myelin properly.

This could change how scientists think about treating Alzheimer's disease, Jackson said. It "opens up a new wave of potential therapeutics" that could target the accumulated fats, rather than going after only amyloid-beta and tau, she said.

"I think that this is becoming a really common idea in the field — that we're going to need multiple medications that target slightly different elements," she told Live Science. "And targeting lipids will be a really important part of that."

That said, the findings have not been confirmed in humans yet.

"It's very encouraging that facilitating lipid clearance and lipid movement is a potential therapeutic avenue," said study co-author Joel Blanchard, a neuroscientist at the Icahn School of Medicine at Mount Sinai. The question is how we can do that in a safe and effective manner in humans, he said.

Blanchard has led other research that underscores APOE4's effects beyond fats and myelin. The gene variant may affect cells that support blood vessels in the brain by driving scarring and contributing to amyloid-beta buildup. It may also mess with the "trash collectors" inside astrocytes, again leading to a buildup of harmful proteins.

While cells with other versions of the APOE gene can put a lot of energy toward breaking down the proteins, APOE4-carrying cells put all their energy toward fat storage, Blanchard said.

But more research is needed to understand how to fix the problem, he said. Hopefully, targeting fat storage "could rescue not just one thing but multiple things that go wrong in the course of Alzheimer's disease," he told Live Science.

This article is for informational purposes only and is not meant to offer medical advice.

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