6 citations,
June 2012 in “PloS one” A new mRNA variant of the SCF gene in sheep skin produces a shorter, different protein.
Reviewers criticized the study for its assumptions, social media data collection issues, and lack of comparison to existing methods.
Reviewers criticized the study for assuming drugs with similar side-effects work the same way and questioned the validity of its findings due to potential biases and data quality issues.
32 citations,
August 2016 in “Science Signaling” Alopecia areata patients show unique protein activity patterns, suggesting imbalanced signaling pathways.
1 citations,
November 2022 in “Pharmaceutical research” The simulation showed that hypobaric pressure improves drug delivery through the skin, but stretching alone doesn't fully explain the increase.
8 citations,
August 2020 in “PLOS Computational Biology” A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
September 2023 in “Nature Communications” Rare genetic variants in five specific genes are linked to male-pattern hair loss but only account for a small part of the risk.
301 citations,
February 2019 in “Nature Communications” The research found that different types of fibroblasts are involved in wound healing and that some blood cells can turn into fat cells during this process.
March 2024 in “Dermatology and therapy (Internet)” Genetic factors could lead to personalized treatments for hair loss.
11 citations,
April 2019 in “Journal of Biological Research” The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
15 citations,
December 2021 in “Pharmaceutics” The study found key factors in the cause of hidradenitis suppurativa, its link to other diseases, and identified existing drugs that could potentially treat it.
14 citations,
October 2016 in “Psychoneuroendocrinology” Finasteride affects brain processes related to neurotransmission and metabolism, potentially helping with neuropsychiatric conditions.
3 citations,
July 2017 in “Journal of Molecular Graphics & Modelling” The study found that baicalin has different stable shapes in gas and water, with two shapes better for interacting with positive charges in water.
June 2020 in “Journal of Investigative Dermatology” More research with diverse participants is needed to determine the effectiveness of photobiomodulation devices for hair loss treatment.
1 citations,
November 2008 in “Acta crystallographica” Scientists successfully created and analyzed the structure of a part of the human androgen receptor with specific modulators and a peptide to understand how it binds differently in various tissues.
39 citations,
December 2018 in “Methods in molecular biology” The document concludes that computational methods using networks and various data can improve the process of finding new uses for existing drugs.
43 citations,
December 2020 in “PLOS Genetics” New method finds genetic links between Type 2 Diabetes and Prostate Cancer not seen before.
20 citations,
November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
24 citations,
June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
2 citations,
January 2023 in “BMC plant biology” Scientists found new genetic areas that affect how rice root hairs grow and develop.
3 citations,
June 2017 in “Methods” Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
December 2023 in “Research Square (Research Square)” 12-Methoxy carnosic acid from rosemary might be a good natural treatment for hair loss.
June 2012 in “Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature” Six new risk spots for early hair loss were found, which also link to Parkinson's disease and lower fertility. Two genes, FOXA2 and HDAC4, could be new treatment targets. Hair loss might also be connected to heart disease, metabolic syndrome, and prostate cancer.
July 2020 in “The journal of investigative dermatology/Journal of investigative dermatology” Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
109 citations,
January 2011 in “Frontiers in Systems Neuroscience” Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
1 citations,
December 2016 Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.
January 2017 in “Brazilian Journal of Pharmaceutical Sciences” Arteannuin might work against cancer and Alzheimer's by targeting neprilysin.