Results 111 to 120 of about 623 (213)

Gymnema sylvestre: Bioactive constituents, health benefits, and emerging applications in nutraceuticals and functional foods

open access: yesJSFA reports, EarlyView.
Abstract Gymnema sylvestre (Retz.) R.Br. ex‐Schult., commonly known as “gurmar” or “sugar destroyer,” belongs to the Apocynaceae family and is traditionally used in Ayurveda for diabetes management. This review synthesizes ethnomedicinal evidence with contemporary pharmacological studies, to evaluate the therapeutic properties and mechanistic actions ...
Faiza Saeed   +5 more
wiley   +1 more source

Proteomics‐Based Identification of the Pyroptosis‐Related Biomarker PCSK9 and Its Association With the Pathogenesis of Rheumatoid Arthritis

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Rheumatoid arthritis (RA) is a common autoimmune disease, and early diagnosis is critical for effective treatment. This study aims to identify potential biomarkers related to pyroptosis through serum proteomics analysis, offering new insights for the early diagnosis of RA.
Lei Wang   +10 more
wiley   +1 more source

Association Between Preoperative Dyslipidemia and the Prognosis of Patients With Endometrial Cancer: A Retrospective Cohort Study

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Endometrial cancer (EC) is closely related to metabolic disorders. We aimed to investigate whether preoperative dyslipidemia independently affects the prognosis of patients with EC. One hundred and ninety‐four women diagnosed with EC by pathology and who had undergone standardized surgical treatment at the Affiliated Hospital of Jining Medical
Song Li   +5 more
wiley   +1 more source

Chronic, Environmentally Relevant PM2.5 Exposure Exacerbates Metabolic Dysfunction‐Associated Steatotic Liver Disease and Early‐Stage Renal Dysfunction in a Rodent Model

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT While epidemiological studies link fine particulate matter (PM2.5) exposure to metabolic dysfunction‐associated steatotic liver disease (MASLD) and renal dysfunction, a translational gap exists, as most animal models utilize acute, high‐dose exposures that poorly reflect chronic, moderate‐level human scenarios.
Yi‐Siao Chen   +11 more
wiley   +1 more source

Clinical Progression in Alpha‐Synuclein Positive LRRK2‐PD and Sporadic Parkinson's Disease: A Longitudinal Analysis

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background LRRK2‐Parkinson's disease (LRRK2‐PD) is biologically heterogeneous with approximately 30% lacking aggregated alpha synuclein (αSyn) in cerebrospinal fluid by seed amplification assay (SAA). Prior work has suggested slower progression in LRRK2‐PD compared to sporadic PD (sPD).
Lucy A. Morse   +224 more
wiley   +1 more source

Mapping Causal Biology: Mendelian Randomization in the Era of Big Data

open access: yesMed Research, EarlyView.
Mendelian randomization (MR) leverages genetic variants to mitigate confounding biases in causal inference. This review systematically maps MR's methodological evolution, highlights its expanding applications in epidemiology and drug target validation, and outlines future directions for overcoming current biases through dynamic, multi‐omics, and cross ...
Xuanlu Shen   +10 more
wiley   +1 more source

Co‐ and Multi‐Pathologies in Parkinson's Disease: An International Parkinson and Movement Disorder Society Scientific Issues Committee Review

open access: yesMovement Disorders, EarlyView.
Abstract Parkinson's disease (PD) has been historically defined as a disease of striatal dopamine deficiency secondary to degeneration of dopaminergic neurons in the substantia nigra pars compacta, related to the presence of Lewy bodies and Lewy neurites.
Michele Matarazzo   +10 more
wiley   +1 more source

Serum elemental profile‐based machine learning models for Alzheimer's disease identification and cognitive score prediction

open access: yesNeuroprotection, EarlyView.
Serum elemental profiling combined with machine learning supports exploratory Alzheimer's disease (AD) identification and cognitive score prediction. In this retrospective cross‐sectional study, 874 participants from the BANC‐PUMC, including cognitively normal controls and patients with AD, were analyzed.
Haotian Liu   +6 more
wiley   +1 more source

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