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The American Heart Association (AHA) published a study by the AHA acknowledging that a vegan diet works better than the AHA – recommended diet for heart disease prevention.

Here are the study results: Vegan Diet Reduces Inflammation More than AHA-Recommended Diet

Researchers randomized 100 participants with coronary artery disease to either a vegan diet (no meat, poultry, eggs, dairy, or fish) or an AHA-recommended diet (fewer servings of non-fish animal protein, more servings of fish, and only low- or no-fat dairy) for eight weeks.

The primary endpoint marker for inflammation, high-sensitivity C-reactive protein, improved significantly more in the vegan group, compared with the AHA group.

The authors conclude a vegan diet should be considered to help avoid adverse outcomes among heart disease patients.

 

Shah B, Newman JD, Woolf K, et al. Anti-inflammatory effects of a vegan diet versus the American Heart Association–recommended diet in coronary artery disease trial. J Am Heart Assoc. 2018;7:e011367.gr

 

Red and Processed Meat Cause Breast Cancer

According to a systematic review published in the International Journal of Cancer, red and processed meat products increase the risk for breast cancer.

Looking at 18 studies, researchers evaluated the relationship between breast cancer rates and the intake of red and processed meat. Results showed increased risks for breast cancer with increased consumption of red meat by 6% and by 9% for processed meat.

Researchers attribute the increased risk to high amounts of saturated fat, cholesterol and heme iron found in these products.

Farvid MS, Stern MC, Norat T, et al. Consumption of red and processed meat and breast cancer incidence: a systematic review and meta-analysis of prospective studies. Int J Cancer. Published online September 5, 2018.

 

 

Researchers reviewed 41 studies on diet and depression occurrence and found that inflammatory diets that include high amounts of processed meats and trans fats increased the incidence rates for clinical depression.

Results showed antioxidants from vegetables, nuts, and fruits help regulate emotions among other protective effects.

Researchers suspect the healthful diet of vegetables, nuts and fruits reduces inflammation, oxidative stress and insulin resistance; all of which are linked to depression.

Lassale C, Batty GD, Baghdadli A, et al. Healthy dietary indices and risk of depressive outcomes: a systematic review and meta-analysis of observational studies. Mol Psychiatry. Published online September 26, 2018.

 

 

Researchers in Brazil (D’Or Institute for Research & Education), in conjunction with scientists at L’Oréal, successfully differentiated human induced pluripotent stem cells (hiPSC) into peripheral sensory neurons—or the neurons that innervate our arms, legs, fingers, and toes—in the presence of skin cells. The cells were responsive to pain-causing irritants, such as capsaicin, resiniferatoxin, anandamide, bradykinin, potassium solution, and hydrogen peroxide.

This study co-cultured hiPSC cells with skin cells to provide insight into how sensory neurons play a role in skin renewal and the detection of painful stimuli. The implications of their findings are useful in studying chronic pain, predicting causes of neuroinflammation, and potentially individualized disease modeling.

The researchers of this study expressed that this technique can be applied to patient-derived hiPSCs to aid in the development of personalized in vitro disease models.

Animals used to mimic pain in humans do not depict human neural physiology, and cannot capture the progression of a disease that may vary from person to person.

 

Guimaraes MZP, De Vecchi R, Vitoria G, et al. Generation of iPSC-derived human peripheral sensory neurons releasing substance P elicited by TRPV1 agonists. Front Mol Neurosci. 2018;11:277. doi: 10.3389/fnmol.2018.00277

Researchers discovered how to incorporate oligodendrocytes, an essential brain cell type, into the growth of human “miniature brains-in-a-dish” derived from stem cells. These new brain organoids can model human brain structures more accurately because the oligodendrocytes allow for the formation of myelin—the insulating coating that protect nerves—and are critical for faster relay of nerve signals.

The researchers used the organoids to test drugs that enhance myelin production and showed that the testing platform is an effective tool for predicting the safety and efficacy of such drugs. In addition, they generated organoids from patients with a rare fatal myelin genetic disorder called Pelizaeus-Merzbacher disease that recapitulate features of the disease and can be used to test potential therapies.

The incorporation of oligodendrocytes allows human brain diseases to be modeled more accurately in a dish for research, especially for diseases that involve problems with myelination, such as multiple sclerosis.

 

Madhavan M, Nevin ZS, Shick HE, et. al. Induction of myelinating oligodendrocytes in human cortical spheroids. Nature Methods. 2018. doi: 10.1038/s41592-018-0081-4

According to a review published in Cochrane Database of Systematic Reviews, researchers reviewed 79 studies that compared consumption of eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), and alpha-linolenic acid (ALA) with cardiovascular health. Long-chain fatty acids from fish oil supplements did not protect against all-cause mortality and did not reduce the risk for cardiovascular events.

Results showed increased consumption of ALAs from plant-foods provided a protective effect against coronary heart disease, arrhythmia, and other cardiovascular events. The authors note that previous recommendations for fish oil supplementation derived from biased research.

 

Abdelhamid AS, Brown TJ, Brainard JS, et al. Omega 3 fatty acids for the primary and secondary prevention of cardiovascular disease. Cochrane Database Syst Rev. Published online July 18, 2018.

Researchers developed a new artificial intelligence (AI) tool known as a deep learning convolutional neural network (CNN), and found it is able to diagnose skin cancer (specifically melanoma) more accurately than a group of 58 international dermatologists with varying levels of expertise. The tool was created using Google’s AI technology and was trained using 100,000 skin images.

The CNN improved the doctors’ accuracy of diagnosis for skin cancers from a sensitivity of 86.6 to 95 percent (i.e., the doctors missed fewer true cancerous moles) and from a specificity of 71.3 to 82.5 percent (i.e., the doctors misdiagnosed fewer noncancerous moles as cancerous).

Therefore, the tool can prevent fewer cancer patients from being misdiagnosed as normal early on in their disease progression, as well as, prevent patients without cancer from undergoing unnecessary diagnostic procedures and treatments.

 

Haenssle HA, Fink C, Schneiderbauer R, et al. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Ann Oncol. 2018.https://doi.org/10.1093/annonc/mdy166.

 

New Computational Tool Provides 3-D Views of Molecular Processes Affecting Human Metabolism

Researchers  created a novel virtual resource called Recon3D to provide biologists with 3-D perspectives of spatially linked genes, proteins, and metabolites for analyzing molecular processes affecting human metabolism.

Recon3D is currently available online through two databases: BiGG Models and the Virtual Metabolic Human database.

The tool can offer insights into the mechanisms of action for disease-related mutations and reveal how genes, proteins, and metabolic reactions respond to drugs. It has been used to analyze human sequencing data to map mutation hotspots in 3D as well as to show that drugs with different molecular structures can exert similar metabolic responses.

This first resource of its kind provides the most comprehensive human metabolic map to date, and accounts for 17 percent of the known functional genes in the human genome.

It will help break research ground on the molecular mechanisms of human metabolism and offer a new human-based approach towards understanding diseases affected by metabolism.

Reference Link: https://www.nature.com/articles/nbt.407

 

 

 

Adopting human-focused research framework may help produce results more relevant to human physiology and overcome translational barriers in diabetes research.

Using animal models for researching type 2 diabetes mellitus (T2DM) impedes scientific breakthroughs about the disease origins and treatment options.

Researchers recently proposed a human-centered research framework to study the biology of sugar metabolism in humans from molecules to population studies by utilizing novel human-based research technologies such as organ-on-chips and computer simulations.

This human-relevant framework, which incorporates in human cells and tissues and computer modeling technologies, holds great promise to advance the current prevention, diagnosis, and treatment of T2DM in humans.

 

Ali Z, Chandrasekera PC, Pippin JP. Animal research for type 2 diabetes mellitus: limited translation to clinical benefit and the path forward. Altern Lab Anim. Mar 2018. Retrieved from http://www.atla.org.uk/animal-research-for-type-2-diabetes-mellitus-its-…