Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva made the striking discovery. Photo by Jeff Fitlow

Rice University and MD Anderson researchers have just discovered a potential one-two punch that could, they hope, knock out an insidious disease.

A recent study in the journal Leukemia centers on potential new drugs that, with the help of other medications, can thwart leukemia cells.

Specifically, Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva screened some 45,000 small-molecule compounds to find a few that targeted mitochondria, according to Rice press materials.

In this innovative new study, the team selected eight of the most promising compounds, identified between five and 30 closely related analogs for each, and conducted tens of thousands of tests to systematically determine how toxic each analog was to leukemia cells. This was measured both when administered individually or in combination with existing chemotherapy drugs like doxorubicin, notes a release.

Previously, Kirienko’s lab had shown the eight compounds targeted energy-producing machinery inside cells called mitochondria. Mitochondria, which work nonstop in every living cell, wear out with use. The chosen eight compounds induce mitophagy, which can be described as how cells decommission and recycle deficient and used-up.

Notably, during times of extreme stress, cells can temporarily forgo mitophagy for an emergency energy boost. Previous research has shown leukemia cells have far more damaged mitochondria than healthy cells and are also more sensitive to mitochondrial damage than healthy cells.

Thus, Kirienko and Konopleva reasoned that mitophagy-inducing drugs might weaken leukemia cells and make them more susceptible to chemotherapy. Synergy — using two or more drugs in treatment — is key.

“The point of synergy is that there are concentrations, or dosages, where a single drug doesn't kill,” Kirienko said. “There is no death of healthy cells or cancer cells. But administering those same concentrations in combination can kill a considerable amount of cancer cells and still not affect healthy cells.”

The team tested the toxicity of its mitophagy-inducing compounds and combinations against acute myeloid leukemia (AML) cells, the most commonly diagnosed form of the disease. They then tested the six most effective AML-killing compounds against other forms of leukemia, finding that five were also effective at killing acute lymphoblastic leukemia (ALL) cells and chronic myelogenous leukemia (CML) cells.

Studies found all the mitophagy-inducing drugs caused far less harm to healthy cells.

Finally, the researchers tested one of the most effective mitochondria-targeting compounds, PS127E, using a cutting-edge technique called a patient-derived xenograft (PDX) model. Also referred to as a “mouse clinical trial,” mice are implanted with cancer cells from a leukemia patient. As the cells grow, the mouse is exposed to a drug or combination of drugs as a closer-than-cells test of the treatment’s effect.

Importantly, PDX tests on one compound, PS127E, showed it was effective at killing AML cells in mice, Rice notes, signaling promising news.

“Although this is very promising, we’re still some distance from having a new treatment we can use in the clinic,” Kirienko added. “We still have a lot to discover. For example, we need to better understand how the drugs work in cells. We need to refine the dose we think would be best, and perhaps most importantly, we need to test on a wide variety of AML cancers. AML has a lot of variations, and we need to know which patients are most likely to benefit from this treatment and which are not. Only after we’ve done that work, which may take a few years, would we be able to start testing in humans.”

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This article originally ran on CultureMap.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”