Chandrakasan, Suresh develop diagnostic for early-stage Malarial infection

August 17, 2013

Sungjae Ha (left) and Anantha Chandrakasan demonstrate the chip in the Nanomechanics Laboratory.  Photo: Patricia Sampson/EECSDetecting early-stage malarial infection of blood cells is a diagnostic that has recently come closer to reality through the work of MIT's Anantha Chandrakasan, EECS Department Head, and Subra Suresh, former MIT Dean of Engineering, now president of Carnegie Mellon University. The work which has been published Aug. 8 in the journal Lab on a Chip, is potentially applicable to detecting other infections and diseases. [Photo: Prof. Chandrakasan, right and Sungjae Ha, EECS graduate student in the Chandrakasan Lab, show the malaria detecting chip. Photo : Patricia Sampson/MIT EECS] 

Read more in the August 15, 2013 MIT News Office article by Elizabeth Dougherty (for the Microsystems Technology Labories, MTL) titled "Detecting early-stage malarial infection. New prototype device recognizes electrical properties of infected cells as signatures of disease," also posted below.

Researchers at MIT have found a way to detect early-stage malarial infection of blood cells by measuring changes in the infected cells’ electrical properties.

The scientists, from the laboratories of MIT’s Anantha Chandrakasan and Subra Suresh — who is now president of Carnegie Mellon University — have built an experimental microfluidic device that takes a drop of blood and streams it across an electrode that measures a signal differentiating infected cells from uninfected cells. The work, published Aug. 8 in the journal Lab on a Chip, is a first step toward a field-ready, low-cost, portable malaria-detection device.

“Ultimately the goal would be to create a postage stamp-sized device with integrated electronics that can detect if a person has malaria and at what stage,” says Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering and a principal investigator at MIT’s Microsystems Technology Laboratories (MTL), who specializes in developing low-power electronic devices. Similar diagnostics may be applicable to other infections and diseases. 

Sorting out the signals

When the malaria parasite Plasmodium falciparum infects a red blood cell, the cell becomes more magnetic and more rigid, properties that can be detected in a rapid-diagnostic device. But these changes are hard to detect before the parasite matures beyond the ring stage — its earliest stage, and the only stage found in circulating blood. At later stages of infection, the infected red blood cells adhere to small capillaries, blocking circulation and causing various symptoms, and even death in severe cases.

So the researchers decided to look into using electrical impedance as a diagnostic signal. Several types of infection, including malaria, alter a cell’s impedance, a measure of electrical resistance across the cell membrane. Studies had already measured electrical changes in later-stage infected cells, but it wasn’t clear that cells that had reached only the ring stage of infection would exhibit electrical changes.

To find out, first authors Sungjae Ha, a graduate student in the Chandrakasan lab, and Sarah Du, a postdoc in the Suresh lab (also known as the Nanomechanics Laboratory), built a microfluidic device capable of measuring the magnitude and phase of the electrical impedance of individual cells. The device is essentially a cell-counting device, similar in approach to other low-cost, portable devices being developed to diagnose illnesses such as HIV.

The challenge, however, involved optimizing the electronics to allow very accurate measurements of impedance for each cell as it passes by. The researchers had to minimize interfering electric signals from the substrate the blood flows over and prevent the cells from sticking to one another.

In tests of cells of four cell types — uninfected cells and infected cells at the ring, trophozoite and schizont stages — the device detected small differences in measures of magnitude and seemingly random differences in phase, but not quite enough to definitively differentiate among stages.

However, by mathematically combining the measures into an index called delta, the differences between uninfected cells and all three stages became clear. “It’s much more significant,” says corresponding author Ming Dao, a principal research scientist in the Nanomechanics Laboratory. “It’s a more holistic approach. By using all of the information we can measure, we can detect the differentiating signals much more clearly.”

“What’s really cool about this device is that it can actually differentiate between uninfected red blood cells and circulating ring infected red blood cells even though the parasite is still very small at this stage and the host cells have hardly been modified,” says Matthias Marti, an assistant professor of immunology and infectious diseases at the Harvard School of Public Health, who did not participate in the study.

[Researchers from the Nanomechanics Laboratory (the Suresh Lab) from left to right: Research scientist Monica Diez Silva, postdoc Sarah Du and principal research scientist Ming Dao, all of MIT's Department of Materials Science and Engineering. Photo: Patricia Sampson/MIT EECS]Solving real-world problems

Malaria is a curable disease, but diagnosis remains a challenge. This ability to discern the circulating parasite’s stage from a drop of blood opens the possibility of building a device that could be used to rapidly diagnose malarial infection in places where laboratories and skilled medical personnel are scarce.

Traditionally, technicians detect malarial infection visually, by observing blood smears through a microscope. More recently, the World Health Organization has supported the use of rapid diagnostic tests that detect an antigen to the parasite in the blood. These tests provide results in about 15 minutes and do not require skilled technicians, so sick people can be diagnosed and treated on the spot.

But neither of these approaches is very sensitive, Marti says. “For a new device to be meaningful in the field, it would have to be more sensitive than these traditional approaches, as well as cheap and quick.”

The collaborative MIT team of experts in microfluidics, circuit design, materials science and microbiology has designed their new cell-differentiating technology so that it can be packaged as a low-cost device, but more work needs to be done. “We are using our combined expertise to push the technology toward real-world applications,” Dao says. [Photo: Researchers from the Nanomechanics Laboratory (the Suresh Lab in MIT's Department of Materials Science and Engineering) from left to right: Research scientist Monica Diez Silva, postdoc Sarah Du and principal research scientist Ming Dao. Photo: Patricia Sampson/MIT EECS]

Since this new detection method can, for the first time, differentiate among the three major stages of Plasmodium falciparum’s asexual development, Marti sees another potential application: The device may also be able to distinguish cells infected with the parasite at its transmission stage, the stage in which mosquitos can pick it up from humans and transmit it to other humans. “If we could use the device to detect malaria infection and the potential for transmission at the same time, that would make it even more interesting,” Marti says.

The next steps for further development involve integrating this new technology into a small, low-cost package. “Our hope is that such technologies as those described in this work will ultimately help meet the need for a new generation of portable, disposable and inexpensive diagnostics for a variety of human diseases,” Suresh says.

The team is also interested in using the device to investigate the electrical properties of other types of diseased cells to see if electrical impedance changes could be used for diagnostics. 

This work was carried out with the assistance of the Fulbright Science and Technology Award. Device fabrications were carried out at MTL. The work was supported by Singapore’s National Research Foundation through the Singapore-MIT Alliance for Research and Technology (SMART) and by SMART, MIT’s Center for Integrated Circuits and Systems and the National Institutes of Health.