Monthly Archives: July 2022

Last week, the University of Houston announced that its researchers have made significant improvements to a next-generation cancer therapy that kills tumour cells while leaving healthy tissues intact. The treatment uses genetically engineered or naturally occurring microbes oncolytic viruses that replicate in cancer cells and overwhelm them. The therapy also strengthens the cancer patients immune system against the tumour. However, this also means that, at times, the oncolytic viruses come up against the bodys natural defence system. At the University of Houstons Centre for Nuclear Receptors and Cell Signaling, researchers used gene editing to cancel out such an immune response, enabling the anti-cancer microbes to work with all their might. Along with the breakthrough, last month, in anti-rectal cancer treatment, advances in the use of oncolytic viruses offer hope that cancerous tumours can be eliminated without the use of surgery or debilitating chemotherapy.

Cancer has been a scourge of humankind for centuries. Advances in molecular cell biology and genetics since the second half of the 20th century have made the disease far less intractable. Early tumour detection with non-invasive imaging such as CT, MRI and PET scans has helped in discriminating between aggressive and non-malignant tumours. There is a vaccine for cervical cancer. Scientists have taken important steps to unravel the complex linkages between individual immune systems and cancerous cells. Research has also underlined connections between the disease, local environments, cultural practices, and individual habits. Such facets of the disease could have been difficult to model or quantify about two decades ago. But advances in computational methods and the ability to generate and share big data have made it easier to arrive at a more granular understanding of the disease.

Cancer accounted for nearly 10 million deaths in 2020 before the world was overtaken by the Covid pandemic, nearly one in six deaths was cancer-related. That two-thirds of all cancer deaths occur in low-and middle-income countries indicates the limited reach of this state-of-the-art research. For a large section of those who can access treatment, the high costs of modern-day healthcare often mean a devastating financial burden. Even in the US, a report of a Kaiser Family Foundation-NPR survey released last week has revealed that two-thirds of adults with health care debt who have had cancer themselves or in their family have cut spending on food, clothing, or other household basics. The Covid pandemic has re-ignited debates on making healthcare equitable and reforming practices including patent systems that lock out a large number of people from accessing healthcare. Cancer treatment should be an essential part of such conversations. Its time the groundbreaking work in research labs reaches people who suffer from the disease.

Express InvestigationThe Uber Files | The Indian Express is part of a global consortium analysing thousands of emails and documnets from Uber

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Cancer has been a scourge for centuries, advances in science have made the disease far less intractable - The Indian Express

image:Bujaruelo mountain pass view more

Credit: Will Hawkes

Scientists have identified more than 1,500 genetic differences between migratory and non-migratory hoverflies.

A team led by the University of Exeter captured migrating insects as they flew through a mountain pass, and sequenced active genes to identify which determine migratory behaviour.

This genetic information was then compared to that of non-migrating summer hoverflies.

"We identified 1,543 genes whose activity levels were different in the migrants," said lead author Toby Doyle, of the Centre for Ecology and Conservation on Exeter's Penryn Campus in Cornwall.

"What really struck us though was the remarkable range of roles these genes play.

"Migration is energetically very demanding, so finding genes for metabolism was no surprise but we also identified genes with roles in muscle structure and function, hormonal regulation of physiology, immunity, stress resistance, flight and feeding behaviour, sensory perception and for increasing longevity."

Each autumn, billions of migratory hoverflies leave northern Europe and make a long-distance journey south.

Their journey takes them through the Pyrenees where they become concentrated through high mountain passes.

"It is an amazing spectacle to witness, an endless stream of hundreds of thousands of individuals through a 30-metre pass," said Dr Karl Wotton.

When the researchers started ordering these genes by function, they discovered suites of genes were being activated in concert: insulin signalling for longevity, pathways for immunity, and those leading to octopamine production, the insect equivalent of the fight or flight hormone adrenaline, for long-distance flight.

"These pathways have been integrated into migratory hoverflies and modified by evolution to allow for long-distance movement, Dr Wotton said.

The work provides a powerful genomic resource and theoretical framework to direct future studies into the evolution of migration.

Dr Wotton added: It is an exciting time to be studying the genetics of migration.

"Our research has already indicated several genes that have previously been associated with migration in butterflies, suggesting the existence of a shared migratory gene package that controls migration across multiple animals.

The paper, published in the journal Molecular Ecology, is entitled: Genome-wide transcriptomic changes reveal the genetic pathways involved in insect migration.

Molecular Ecology

Data/statistical analysis

Animals

Genome-wide transcriptomic changes reveal the genetic pathways involved in insect migration

8-Jul-2022

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

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Scientists discover key genes behind insect migrations - EurekAlert

Neuroimaging is a discipline that deals with the in vivo depiction of the structure, function and pharmacology of the central nervous system (CNS), particularly our brain, in a noninvasive manner.1, 2 The past two decades have witnessed remarkable strides in the development of new anatomical and functional imaging techniques that can shed light on many critical aspects of human brain function with respect to cognition, learning and memory. In addition to studying how the brain works and how various activities impact the brain, neuroimaging has become a powerful tool for diagnosing diseases and evaluating brain health. In this article, we will cover the basics and applications of various traditional, as well as emerging neuroimaging techniques, considering their strengths and limitations, and discuss the prospects, challenges, risks and ethics concerned with this rapidly expanding field.

Neuroimaging is a specialization of imaging science that uses various cutting-edge technologies to produce images of the brain or other parts of the CNS in a noninvasive manner. Specifically, neuroimaging can provide a range of directly or indirectly derived visual representation as well as quantitative analysis of the anatomy, blood flow, blood volume, electrical activity, metabolism, oxygen consumption, receptor sites and many other physiological functions within the CNS. Neuroimaging, often described as brain scanning, can be divided into two broad categories, namely, structural and functional neuroimaging. While structural neuroimaging is used to visualize and quantify brain structure using techniques like voxel-based morphometry,3 functional neuroimaging is used to measure brain functions (e.g., neural activity) indirectly, often using functional magnetic resonance imaging (fMRI), positron emission tomography (PET) or functional ultrasound (fUS).

Neuroimaging uses a plethora of imaging technique to study how the brain functions, and shed light on the mechanisms underlying cognition, information processing or changes of the brain in the pathological state. Neuroradiology, on the other hand, is a medical specialism using brain imaging in the clinical setting. It primarily focuses on the identification of brain lesions, such as vascular malformations, strokes, tumors and inflammatory diseases. Compared to neuroimaging, neuroradiology is more qualitative, relying on subjective impressions and extensive clinical training, though basic quantitative techniques may be used in certain instances. Functional brain imaging techniques, such as fMRI, are common in neuroimaging but seldom used in neuroradiology. Although neuroimaging was previously considered to be the domain of radiologists with a specific interest in the nervous system, this rapidly evolving field is now populated with contributors from diverse backgrounds including neuroscience, molecular biology, genetics, neurology, neurosurgery, psychology, psychiatry, physics, chemistry, radiology and nuclear medicine.

Understanding the human mind has been one of the primary intents of philosophers throughout the ages. Questions about how our mind represents and manipulates knowledge, and how the brain realizes these mental representations and process, have attracted psychologists, computer scientists, philosophers, sociologists and like-minded researchers into a new discipline, called cognitive science. In this context, the emergence of advanced, functional neuroimaging techniques has expanded our ability to study the neural basis of cognitive processes.

Although the past two decades have witnessed phenomenal enthusiasm in human brain mapping, the foundation stone of neuroimaging was laid in the early 1900s. In 1880, the Italian physicist Angelo Mosso invented a noninvasive technique that was able to measure the redistribution of blood during emotional and intellectual activity.4 This method, known as human circulation balance, is thought to be the first-ever neuroimaging technique.5

In 1918, the American neurosurgeon, Walter Dandy, introduced the ventriculography technique that was used to obtain images of the ventricular system within the brain by injecting filtered air directly into one or both lateral ventricles of the brain.6 This procedure was not painful, but it carried significant risks to the patient under investigation, leading to hemorrhage, infection and dangerous changes in intracranial pressure. Nevertheless, the surgical information provided by this method was extremely precise and accurate. Dandy also found that in many of the ventriculograms, air passing out of the ventricular channels could be detected in the cerebrospinal fluid compartments around the base of the brain and over its surface. This observation led him to conclude that air had followed the same, normal pathways through which the cerebrospinal fluid circulates. Subsequently, he withdrew cerebrospinal fluid from the subarachnoid space, replacing it with equivalent amounts of air. Because air is more permeable to X-rays than bones, this strategy enabled better visualization on an X-ray. This technique, named pneumoencephalography,7 extended the scope for precise intracranial diagnosis, though it posed the same risks to patients as observed earlier in the case of ventriculography, and was generally unpleasant and painful.

In 1927, Egas Moniz, a Portuguese neurologist, who was also the Nobel Prize recipient in Physiology or Medicine 1949, introduced cerebral angiography, a technique that was used to visualize both normal and abnormal blood vessels in and around the brain with great accuracy and precision.8 In its early days, cerebral angiography posed immediate and long-term risks, many of which stemmed from the deleterious effects of intravenously injected positive contrast substances. However, with technological advancement over decades and the development of new, safer contrast agents, this imaging modality has been substantially refined. Subsequently, cerebral angiography remains the mainstay of a neurosurgeons diagnostic imaging and therapeutic armory in the neuro-interventional management of a range of brain diseases and disorders.

In the latter half of the twentieth century, the advent of the computerized axial tomography (CAT or CT scanning) paved the way to safer, painless and more detailed anatomical brain imaging. Three names that are associated with the development of this technique include Dr. Willian Oldendorf, Godfrey Newbold Hounsfield and Allan McLeod Cormack.9, 10

Soon after the invention of CAT, the development of radioligands led to the foundation of nuclear imaging modalities, namely, single-photon emission computed tomography (SPECT) and PET. Radioligands are either single photon or positron emitters, which can be tailor-made to either remain within the blood stream or enter the brain and bind to their target receptors.

In 1973, Edward J. Hoffman, and Michael Phelps developed the first human PET scanner.11 Previously, techniques like xenon inhalation were the mainstay of cerebral blood flow mapping.12 The development of oxygen-15 labeled water (15O-H20) facilitated the measurement of regional blood flow within the brain using PET.13 Functional imaging took a leap forward with the development of 2-[18F] fluoro-2-deoxy-d-glucose (18F-FDG), a positron-emitting sugar derivative that accumulates in the brain according to local metabolic activity.14 This radioligand allowed investigators to measure regional cerebral glucose consumption using FDG-PET, and was used to detect metabolically active brain lesions, neural injury or synaptic disfunction. Unlike oxygen-15, which has a short half-life of 2.25 minutes, the 110-minute half-life ofFDG allowed PET scans by machines remote from the cyclotron producing the isotope.

Almost concomitantly, magnetic resonance imaging (MRI) was developed. The names associated with early developments of this technique include J. A. Jackson(1968), Raymond Damadian (1972) and Paul Lauterbur (1973).15, 16 Initially, the application of MRI was limited to structural imaging, although technical refinements during the 1980s gradually expanded its scope to diagnostic imaging of brain pathology.

Since the 1990s, fMRI has become the cornerstone of neuroimaging research due to its lack of radiation hazards, low invasiveness and relatively wide availability.17 fMRI measures brain activity by detecting associated changes in cerebral blood flow (CBF), cerebral blood volume (CBV) and cerebral metabolic rate of oxygen consumption (CMRO2).18

Over time, physicists have developed magnetic resonance spectroscopy (MRS), for measuring certain key metabolites within the living brain such as N-acetyl aspartate and lactate.19 Similarly, diffusion tensor imaging (DTI),20 another MRI-based technique, uses anisotropic diffusion21 to map white matter tracts within the living brain.

More recently, the combination of fMRI with PET, CT and SPECT has paved the way to multimodal neuroimaging, which combines data derived from the different imaging modalities to obtain more detailed information about brain dynamics.22

Modern neuroimaging uses an array of technologies to illuminate our brain, lets consider some of these in more detail.

CT refers to a noninvasive, diagnostic imaging procedure that uses special X-ray measurements to produce horizontal, or axial, images of the brain as well as other parts of the body.23 During a brain CT, the X-ray beam moves around the body in a circle to capture various 2D images of an individuals brain from multiple angles (Figure 1). The X-ray information is then sent to a computer, which process the data using reconstruction algorithms to generate tomographic (cross-sectional) images of the brain (Figure 2).

Brain CT scans may be performed with or without contrast agents a class of substances capable of enhancing the visibility of tissues, structures or pathology. The most common contrast agents used in CT imaging are barium- and iodine-based.

A CT of the brain is typically used to evaluate the brain for tumors and other lesions, injuries, intracranial bleeding, hydrocephalus, stroke, vascular dementia, infection, inflammation and many other conditions. CT scans can also offer image-based guidance for brain surgery or biopsies of brain tissue.

Figure 2: CT angiography of vascular malformation in a patient with intraventricular hemorrhage. Credit: Shazia Mirza and Sankalp Gokhale, reproduced under the Creative Commons Attribution 4.0 International license.

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In SPECT imaging, a gamma-emitting radiotracer (such as technetium-99m, iodine-123 or iodine-131) is artificially introduced into a biologically relevant molecule (typically a ligand, peptide or antibody) and administered intravenously into an animal or patient.24 Following injection into the bloodstream, the bio-distribution and uptake of the radiotracer in different organs and tissues is quantified over time to obtain information about a physiological, cellular or molecular process of interest. During SPECT imaging, one or more gamma cameras rotate around the patient, which enables radiation to be captured from different angles and produces multiple 2D images. Thereafter, a computer is used to apply a tomographic reconstructionalgorithm to these multiple projections, generating a 3D image.

As far as neuroimaging is concerned, SPECT is primarily used for the quantification of changes in CBF and neurotransmitter systems. Brain SPECT can be used to evaluate and manage a wide range of clinical conditions including head injuries, malignant brain tumors, cerebrovascular disorders, Parkinsons disease, dementia and epilepsy25, 26 (Figure 3). Typically, functional brain SPECT imaging is accomplished using Technitium (99mTc) exametazime, a gamma-emitting radiotracer whose uptake by brain tissues is proportional to CBF. Because CBF is tightly coupled to local metabolism and energy consumption, a 99mTc-exametazime tracer can be used to evaluate brain metabolism regionally.

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PET is an extremely powerful nuclear medicine imaging modality that uses radiotracers to visualize and quantify changes in metabolic processes.27 In PET, biochemically active molecules are labeled with short-lived positron-emitting radiotracers and injected into patients. As positrons encounter electrons within the tissues, they are annihilated resulting in a pair of 511 keV photons. These photons are measured by the detectors of the PET scanner, and eventually reconstructed to produce an image map of the organ or tissue under investigation. The amount of radiotracer accumulated in the region of interest is directly proportional to the signal intensity of that area and is indicative of the level of organ or tissue function. The choice of tracers in PET imaging depends on the intended target and applications.

In neuroimaging, 18F-FDG PET can be used for:

Several other PET tracers beyond 18F-FDG have shown promise for elucidating the pharmacology, neurochemistry and pathology of the living human brain. For instance,15O-H2O PET allows quantification of regional CBF, whereas [18F] fluorothymidine(FLT) serves as an in vivo marker of cell proliferation.31 More recently, development of new amyloid imaging tracers, such as Pittsburgh compound B, [18F] Florbetapir and [18F] Florbetaben has enabled the in vivo detection and quantification of brain A plaque burden- a hallmark of AD.32

Figure 4: T1-weighted gadolinium-enhanced MRI (left) and18F-FDG PET (right) of a 79-year-old man with right frontal glioblastoma. Credit: Verger A and Langen KJ. Adapted from 33, reproduced under the Creative Commons Attribution 4.0 International license.

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MRI refers to a noninvasive, radiation-free and safe imaging modality that relies on the magnetization property of atomic nuclei.16 Water molecules form a major portion of all living bodies, each having two hydrogen nuclei or protons. When a patient is sent inside the powerful magnet of an MRI scanner, these protons start to align themselves with the direction of the magnetic field. This alignment is next perturbed by pulsing a radiofrequency (RF) current through the patient. After the RF field is turned off, the nuclei return to their resting alignment through various relaxation process, and while doing so, they emit RF energy. The energy released in the process is detected by the MRI sensors. Relaxation involves two different mechanism i) T1 relaxation, also known as longitudinal or spin-lattice relaxation and ii) T2 relaxation, also known as transverse or spin-spin relaxation. The time constant, T1 is a measure of the time taken by the excited protons to return to equilibrium and realign with the external magnetic field. T2 is a measure of the time taken for the spinning protons to lose phase coherence among the nuclei spinning perpendicular to the main field (Figure 5).

Depending on their cellular and molecular characteristics, different tissues have different T1 and T2 relaxation times, which forms the basis of image contrast (signal-to-noise ratio). During image acquisition, the receiver coils are placed around the body part under examination to enhance the detection of the emitted signal. The intensity of the received signal is plotted on a grey scale to produce cross-sectional images. MRI contrast agents have become an indispensable component of contemporary MRI studies. They work by altering the T1 and T2 relaxation rates of various tissues, leading to increased signal intensity on T1-weignted images or decreased signal intensity on T2-weighted images or both. Common T1 agents for MRI include gadolinium (Gd3+)-based paramagnetic complexes, whereas T2 agents include superparamagnetic iron oxide nanoparticles (SPION).

MRI is widely used by physicians to assess a variety of conditions such as internal hemorrhage, swelling, brain developmental disorders, tumors, infections, inflammation, damage resulting from an injury or stroke, vascular abnormalities and causes of seizures and headaches.

Figure 5: Diagram depicting the physics of MRI: how hydrogen protons behave in a magnetic field. (A) All living bodies are made up of water molecules, constituting two hydrogen atoms and one oxygen atom. Each hydrogen nucleus contains one positive charge i.e., a proton spinning around on its axis behaving like a tiny magnet. (B) When a person goes inside the MRI scanner, the randomly oriented protons inside the water molecules of their body align themselves with the direction of the main static magnetic field, B0. Some of these protons will align up or parallel whereas others will align down or antiparallel, while still rotating around their axis like a spinning top. (C) When an RF wave/pulse with the same frequency as the protons precessional frequency is turned on, the protons aligned upwards flip away from the B0 field while absorbing the RF energy.

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In recent years, fMRI has become the cornerstone of neuroimaging research. This technique, primarily based on the blood oxygenation level dependent (BOLD) contrast, is sensitive to the localized hemodynamic changes associated with increased neuronal activity (Figure 6).18, 34 fMRI is extensively used for the noninvasive mapping of brain activity evoked from sensory, motor, cognitive and emotional tasks in healthy individuals. Currently, this technique has proven its value clinically in neurosurgical planning and in strengthening our understanding of neurobehavioral disorders including AD, epilepsy, brain tumors, stroke, traumatic brain injury and multiple sclerosis.

Figure 6:Illustration of how BOLD fMRI signals are generated. (A) BOLD-fMRI employs hemoglobin (Hb) as an endogenous contrast agent and relies on the magnetic susceptibility differences between oxy-and deoxyhemoglobin (dHb) to generate functional contrast. When neuronal activity increases in a certain brain area, it consumes more oxygen and glucose. The metabolic demand for oxygen triggers a local increase in blood flow. Active regions of the brain receive more oxygenated blood than less active regions. dHb is paramagnetic whereas Hb is diamagnetic. This difference in magnetic susceptibility leads to small differences in the MRI signal intensity, which in turn, depends on the degree of oxygenation and is known as BOLD signal. Since blood oxygenation differs according to the levels of neural activity, these differences can be used to measure brain activity. (B) A representative fMRI image with orange areas showing increased brain activity compared to other (control) areas of the brain. Credit: Washington irving, reproduced as a public domain image.

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Diffuse optical imaging (DOI) and diffuse optical tomography (DOT) are noninvasive techniques that can produce the spectral image of an object located several centimeters underneath the biological tissue by utilizing light in the near infrared (NIR) spectral region.35, 36 To enable visualization using DOI or DOT, the object must be translucent or at least semi-translucent. The illumination and detection are handled by employing an array of light sources and detectors respectively around the object under investigation (Figure 7). By observing spatiotemporal variations in the light absorption and scattering properties of the tissue, regional variations in oxy- and deoxy-hemoglobin concentration can be imaged. Model-based reconstruction algorithms can be applied on the acquired data to obtain spatial maps of tissue properties such as total hemoglobin concentration, blood oxygen saturation and scattering. Functional NIR spectroscopy (NIRS) using DOT can be effectively used to measure the hemodynamic changes following neuronal activation, which, in turn, can provide valuable information on the neurophysiology of human brain.

Figure 7:Images showing how DOI and DOT imaging work.(A) A representative image showing optical fibers on the boundary of the frontal cortex in a real space. As the photon trajectory follows a banana path (represented by arrows), measurements at 10-20 mm distance from the source can deliver information from the extracerebral layers. Measurements at 30-40 mm from the source can afford information from intracerebral layers too. Here, the source-detector pairs are separated by 1 cm in both frontal and sagittal views. The matrix comprises a total of 64 optical fibers, offering 2048 optical channels due to colocalization. (B) Optical fiberscalp coupling is ensured by using a rigid structure that holds the tip of the optical fibers in place. Credit: Hernandez-Martin E, Luis Gonzalez-Mora J. Adapted from 37, reproduced under the Creative Commons Attribution 4.0 International license.

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Event-related optical signal (EROS) is an emerging, relatively inexpensive and noninvasive neuroimagingtechnique that uses infrared lightthrough optical fibersto determine changes in optical properties of active areas in the cerebral cortex.38 While DOI or NIRS measure optical absorption of hemoglobin, and are thus dependent on CBF, EROS takes advantage of the scattering properties of the neurons themselves, providing a much more direct measure of cellular activity.

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Magnetoencephalography (MEG) is a noninvasive, radiation-free and safe imaging modality that detects, records and analyzesthe magnetic fields generated by electric currents in the brain resulting from synchronous neuronal activation (Figure 8).39 The magnetic field measurements range from femto- to pico-tesla. The information obtained from MEG assessments have wide applications, including finding the source of epilepsy, sensory mapping, identification of brain signatures associated with autism and helping researchers determine the function of various parts of the brain.

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This neuroimaging modality employs high-frequency sound waves to acquire images of the brain and its inner fluid chambers (ventricles). It is primarily used in babies because theirfontanellei.e., the soft spot on their skull, offers an "acoustic window". This test is used to diagnose and follow-up problems of premature and sick neonates (Figure 9).40

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fUS is an ultrasound-based noninvasive imaging modality that detects changes in neural activities or metabolism by measuring blood flow or hemodynamic changes.42 The method can be considered an extension of Doppler imaging, an ultrasound (US)-based imaging technique that bounces high frequency sound waves off circulating red blood cells to estimate the blood flow through blood vessels. Conventional US has low sensitivity, which restricts its potential for microangiography or functional imaging. The fUS method employs a new sequence for power Doppler imaging that is sensitive enough to detect subtle variations of CBF or CBV in extremely small vessels.

In preclinical research, fUS has become an appealing technology for the interrogation of neuronal circuits through functional connectivity analysis. Additionally, it can be used to map the brains response to external stimuli, study the effects of pharmacological interventions on the brain and visualize neurovascular structures in detail. Clinically, fUS has shown promise for detecting brain disorders in human neonates and in pre-operative surgical planning (Figure 10).

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Quantum optically-pumped magnetometers (OPMs) can measure very weak magnetic fields of femto-tesla sensitivity without employing cryogenic cooling. Each of the array sensors can be flexibly placed within millimeters of the patients scalp, which reduces the source-to-sensor distance while maximizing the signal strength.44 OPM-MEG shows great potential for functional brain mapping and detecting the exact source of epileptic seizures.

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Electroencephalography (EEG) is an advanced neuroimaging technique that records the electrical signals of the brain by using small electrodes placed along the scalp of the subject.45 More specifically, the electrodes detect the tiny voltage fluctuations resulting from neuronal activity, showing up in EEG recording as wavy lines (Figure 11). While EEG is usually noninvasive, electrocorticography or intracranial EEG involves invasive electrodes and records electrical potentials associated with brain activity directly from the cerebral cortex. EEG is commonly used for the diagnosis of epilepsy, sleep disorders, brain tumor, stroke and encephalitis, and to determine the depth of anesthesia, coma and brain death.

Figure 11: Diagram showing how an electroencephalogram may be recorded. Electrical activity is measured on the scalp using electrodes fixed on an EEG cap (left). For each electrode, the signals are amplified and mapped (right) and can be used in successive steps for any desired processing.

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The advent of CT, MRI, PET and other cutting-edge techniques have revolutionized the field of neuroimaging. Although most of these techniques eliminate the risk of invasive procedures, other potential risks need to be considered before ordering neuroimaging. For instance, advanced neuroimaging using CT and PET may pose a risk of significant radiation exposure. The use of contrast in CT may be deleterious to patients with pre-existing renal failure. Although MR is free from radiation hazards, it is associated with risks pertinent to the static magnetic field, magnetic field gradients and contrast media. Finally, ethical problems caused by brain research have fostered the emergence of neuroethics, a new discipline studying the ethical, legal and societal implications of neuroscience.47 Recent advances in our ability to understand the brain and modulate brain function can impact an individuals sense of privacy, autonomy, identity and psychiatric concepts of mental health and illness. Consequently, the potential benefits of applying neuroimaging and neurotechnologies to mentally ill as well as healthy persons need to be carefully weighed against their potential damage.

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Neuroimaging Techniques and What a Brain Image Can Tell Us - Technology Networks

Genetic analysis found no greater risk of miscarriage, stillbirth, or premature birth for women who drink coffee.

According to genetic tests conducted by academics at the University of Queensland, drinking a daily latte or long black does not raise the risk of pregnancy

A daily latte or long black does not raise the risk of pregnancy, according to a study from the University of Queensland.

Genetic analysis of coffee drinking behavior by Drs. Gunn-Helen Moen, Daniel Hwang, and Caroline Brito Nunes from the University of Queenslands Institute for Molecular Bioscience revealed that limited coffee consumption during pregnancy did not increase the risk of miscarriage, stillbirth, or premature birth.

Their findings have been published in the International Journal of Epidemiology.

Current World Health Organisation guidelines say pregnant women should drink less than 300mg of caffeine or two to three cups per day, Dr. Moen said.

But thats based on observational studies where its difficult to separate coffee drinking from other risk factors like smoking, alcohol, or poor diet. We wanted to find out if coffee alone really does increase the risk of adverse pregnancy outcomes, and the research shows this isnt the case.

Dr. Hwang said coffee-drinking behavior is partly due to genetics, with a specific set of genetic variants affecting how much coffee we drink.

We showed that these genetic variants not only affect coffee consumption in the general population but also in pregnant women, he said.

IMB researchers have used genetics to show that a daily coffee causes no increased risk to pregnancy. Credit: University of Queensland

The researchers used a method called Mendelian Randomisation which used eight genetic variants that predicted pregnant womens coffee-drinking behavior, and examined whether these variants were also associated with birth outcomes.

Because we cant ask women to drink prescribed amounts of coffee during their pregnancy, we used genetic analyses to mimic a randomized control trial, Dr. Hwang said.

The genetic analysis found there was no greater risk of miscarriage, stillbirth, or premature birth for women who drank coffee.

When it comes to diet during pregnancy women are often advised to cut things out, but this study shows they can still enjoy coffee without worrying about increasing the risk of these pregnancy outcomes, Dr. Hwang said.

The researchers emphasize the study only looked at certain adverse pregnancy outcomes, and it is possible caffeine consumption could affect other important aspects of fetal development.

For that reason, we dont recommend a high intake during pregnancy, but a low or moderate consumption of coffee, Dr. Moen said.

This research used genetic data from the Coffee and Caffeine Genetics Consortium, the UK BioBank, the Avon Longitudinal Study of Parents and Children, and 23andMe.

The study was funded by the Australian NHMRC and the Norwegian Research Council.

Reference: Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth, miscarriage, gestational age and pre-term birth by Caroline Brito Nunes, Peiyuan Huang, Geng Wang, Mischa Lundberg, Shannon DUrso, Robyn E Wootton, Maria Carolina Borges, Deborah A Lawlor, Nicole M Warrington, David M Evans, Liang-Dar Hwang and Gunn-Helen Moen, 9 June 2022, International Journal of Epidemiology.DOI: 10.1093/ije/dyac121

Read more:
New Research Finally Proves That Coffee Is Safe During Pregnancy - SciTechDaily