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This study found that the protein C4BPA may link insulin resistance and acne vulgaris by influencing lipid metabolism and inflammatory pathways, suggesting it as a potential mediator in the pathogenesis of both conditions.

This study used Mendelian randomization analysis to find a significant causal relationship between high fasting insulin levels and androgenetic alopecia, while identifying potential core genes and metabolic pathways that could mediate this link.

In this study, analyzing over 400 million tweets revealed a broader and milder spectrum of COVID-19 symptoms than clinical research, and illustrated symptom evolution and co-occurrence throughout the pandemic.

This study found that Wan strain Angora rabbits with high wool production exhibited higher hair follicle density and identified long noncoding RNAs that may regulate this trait.

This study found that finasteride alone is highly effective in preventing Candida albicans urinary biofilms and shows synergistic activity with fluconazole in vitro, suggesting potential for further clinical investigation.

The researchers reported that keratin 33A is a structural protein specific to goat cashmere hair, with increased winter expression in high-cashmere-producing breeds.

In this study, researchers analyzed spaceflight data from various sources and found that skin issues during spaceflight are linked to DNA damage, mitochondrial dysregulation, and gene alterations, while also highlighting the skin's adaptability post-flight.

In this case-control study, researchers did not find genome-wide significant genetic variants for trichotillomania, but cases had higher polygenic risk for psychiatric disorders and certain neuropsychiatric-associated copy number variants.

This pilot study found that hair metabolome analysis may help differentiate pregnancy complications from healthy pregnancies by revealing significant metabolite differences between trimesters.

This review found that among emerging technologies for skin anti-aging, stem cell therapies using recipient chimerism might be more beneficial than CRISPR-Cas9 and other current innovations, though further studies on safety and efficacy are needed.

This study identified numerous drugs with potential to trigger vitiligo, cautioning that these pharmacovigilance findings need further validation and that patients on these medications should be monitored for vitiligo development.

This study identified several anticancer drugs, including vinblastine and bortezomib, that significantly increase the risk of developing chemotherapy-induced peripheral neuropathy, with variations in time-to-onset among different drug categories.

This study found that both genetic and epigenetic factors significantly influence age-related facial skin aging, with lifestyle and environmental factors also playing a substantial role.

This review reports that empirical evidence suggests an overlap between Long Covid, chronic fatigue syndrome, and fibromyalgia, highlighting the need for standardized definitions and rigorous methodologies in related research.

In this study, researchers examined the methylation patterns in the skin tissues of Alpine Merino sheep with varying wool fiber diameters, finding that specific methylated RNAs linked to the Wnt, Notch, and TGF-ẞ signaling pathways may influence fiber diameter and potentially improve wool quality.

This study explores how Astragaloside A from traditional Chinese medicine may combat lung adenocarcinoma by regulating key signaling molecules like STAT3 and AKT, using techniques such as network pharmacology and molecular docking to understand its mechanisms in cellular models.

This study found that publications on skin changes and treatments in pregnant women increased from 2013 to 2022, although their citation rates moderately decreased over the same period.

In this phase 2b/3 trial, ritlecitinib showed effectiveness in treating alopecia areata patients with varying hair loss profiles, significantly improving patient-reported outcomes for hair regrowth and satisfaction compared to placebo, regardless of the hair loss type and extent at baseline.

This study presents a computational approach, CATNIP, which repurposes drugs using only their biological and chemical information, predicting new uses like adrenergic uptake inhibitors for Parkinson's and vandetanib for Type 2 Diabetes.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

In this study, researchers observed that dietary vitamin D intake and light exposure play a crucial role in vitamin D metabolism in mice, suggesting similar importance for human health in maintaining optimal vitamin D levels.

This study identified female sex and specific radiological findings as risk factors for chronic post-COVID syndrome, while long-term use of angiotensin-2 receptor blockers was linked to fewer chronic symptoms.

This study found that ensemble machine learning models effectively predict hair fall by combining the strengths of individual algorithms, leading to higher accuracy, precision, and recall in identifying hair and non-hair fall instances compared to single algorithms.

In this study, researchers analyzed adverse event reports from the FAERS database to identify safety concerns associated with ipilimumab in elderly patients, noting common issues like gastrointestinal events and new signals such as orchitis and alopecia areata, with timing influenced by body weight.

This study suggests that estimating autism likelihood as early as one month after birth may enable more precise early intervention for children with developmental support needs, potentially improving diagnosis, workflows, and reducing service wait times.

This study examined data from the FDA Adverse Event Reporting System and found that finasteride use is linked with both known and previously unlisted adverse events, such as erectile dysfunction and post-5α reductase inhibitor syndrome, with variations observed by age and sex.

This study identified four genes related to alopecia areata: GIMAP6 and ALOX15 as risk factors, and GALNT6 and HEG1 as protective factors, noting significant validation differences in GALNT6 and HEG1.

This review identifies significant variability in insurance coverage for gender-affirming surgeries in the US, affecting equitable access to care for transgender individuals and suggesting a need for health policy reforms.

This study identified disproportionate reporting of several serious unknown or less documented adverse events associated with biologics for severe asthma, suggesting the need for further safety assessments.

In this study, researchers found that chemotherapy-induced alopecia counseling and resource access are insufficient and influenced by socioeconomic factors such as employment, income, and education, underscoring the need for standardized education and improved resource availability to address disparities.