
The 16th Acromegaly Consensus Conference in September 2024 updated recommendations on diagnosis and treatment of acromegaly comorbidities. Since the 2020 acromegaly comorbidity management guideline was published, new evidence has emerged on novel and known comorbidities and new treatment approaches. Forty-three experts in the management of acromegaly reviewed the current literature and assessed changes in clinical practice standards and management. Current outcome goals were considered and updated, with a focus on the impact of current and emerging treatments of these comorbidities. Participants assessed factors that determine pharmacological choices, as well as use of specific agents in the management of the most relevant acromegaly comorbidities. We present consensus recommendations highlighting optimization of evidence-based acromegaly comorbidities management.
Severe obesity (body mass index ≥ 40 kg/m2 or ≥ 35 kg/m2 with obesity-related comorbidities) is increasingly prevalent and independently associated with elevated perioperative morbidity and inferior oncologic outcomes in patients with colorectal cancer (CRC). Despite these risks, intentional preoperative weight optimization is not routinely incorporated into CRC management, owing to concerns regarding treatment delay, absence of guideline endorsement, and limited supporting evidence. A literature review was conducted using PubMed and Embase to evaluate the impact of severe obesity on morbidity, mortality, and oncologic outcomes in CRC. Peer-reviewed English-language studies involving adult human subjects were included, while conference abstracts, non-English publications, and studies unrelated to obesity and CRC were excluded. In the absence of published reports describing synchronized weight loss and CRC management in patients with severe obesity, three novel retrospective case examples were included to demonstrate feasibility during neoadjuvant treatment, with institutional review board approval obtained for all cases. Severe obesity complicates CRC staging due to limitations in cross-sectional imaging and anatomic delineation. Furthermore, severe and particularly visceral obesity is associated with increased rates of anastomotic leak, surgical site infection, and conversion to open surgery. Current CRC guidelines do not incorporate structured weight-loss strategies into standard treatment algorithms. Metabolic bariatric procedures, such as sleeve gastrectomy, achieve rapid and clinically meaningful weight reduction, often resulting in improved operative exposure and technical conditions for subsequent resection. Pharmacologic therapies, while more broadly accessible and less invasive, typically yield more modest reductions in visceral adiposity. Task force members report early experience across three distinct cases of locally advanced CRC in patients with severe obesity, demonstrating successful preoperative visceral fat reduction through multidisciplinary coordination incorporating metabolic bariatric surgery or pharmacologic therapy during neoadjuvant windows, followed by definitive oncologic resection. Severe obesity adversely influences CRC staging, operative complexity, and perioperative outcomes. Intentional metabolic optimization—through bariatric surgery or pharmacologic therapy—may represent a viable adjunct within multidisciplinary, patient-centered CRC care pathways. However, the absence of prospective short- and long-term outcome data underscores the need for systematic investigation to define optimal timing, safety parameters, and oncologic efficacy of weight-loss interventions in this high-risk population.
This review examines the unique cardiovascular disease patterns in older women, focusing on sex and age-specific pathophysiology, diagnostic challenges, and disparities in management. We aim to clarify how aging and hormonal transitions influence disease presentation and outcomes among women, and to identify gaps in cardiovascular care. Emerging data demonstrate that older women are disproportionately affected by HFpEF, coronary microvascular dysfunction, atrial fibrillation, and valvular heart disease. These conditions are influenced by vascular stiffness, myocardial remodeling, and systemic inflammation and often present with atypical symptoms leading to diagnosis delays. Contemporary studies highlight persistent gaps in timely diagnosis, referral for advanced therapies, and representation in clinical trials. Increasing attention is being directed toward frailty, multimorbidity, and patient-centered care models in this population. Recognizing age and sex-specific characteristics, increasing representation of older women in clinical trials, improving equitable access to diagnostic and therapeutic resources, and aligning treatment decisions with patient priorities are critical to narrowing existing gaps and improving long-term outcomes for older women with cardiovascular disease.
The Systems Biology Graphical Notation (SBGN) is an international community effort that aims to standardise the visualisation of pathways and networks for readers with diverse scientific backgrounds as well as to support an efficient and accurate exchange of biological knowledge between disparate research communities, industry, and other players in systems biology. SBGN comprises the three languages Entity Relationship, Activity Flow, and Process Description (PD) to cover biological and biochemical systems at distinct levels of detail. PD is closest to metabolic and regulatory pathways found in biological literature and textbooks. Its well-defined semantics offer a superior precision in expressing biological knowledge. PD represents mechanistic and temporal dependencies of biological interactions and transformations as a graph. Its different types of nodes include entity pools (e.g. metabolites, proteins, genes and complexes) and processes (e.g. reactions, associations and influences). The edges describe relationships between the nodes (e.g. consumption, production, stimulation and inhibition). This document details Level 1 Version 2.0 of the PD specification, including several improvements, in particular: 1) the addition of the equivalence operator, subunit, and annotation glyphs, 2) modification to the usage of submaps, and 3) updates to clarify the use of various glyphs (i.e. multimer, empty set, and state variable).
With the advent of new effective treatments for obesity, the field is rapidly changing creating an urgent need for evidence to guide best patient management. To help prioritise and plan for future trials, a meeting of experts was convened with the aim of reviewing the current literature to identify and prioritise current knowledge gaps; identify relevant research questions, and discuss appropriate trial methodologies that could be utilised to address the identified gaps in a timely and pragmatic manner. Participants included research-active academic surgeons and physicians, and industry representatives from various pharmaceutical and device companies. This report summarizes the key outcomes from this meeting. Treatment options for obesity are rapidly evolving. To provide best personalised care for patients, more evidence is required to understand how to best utilise currently available treatments as well as combine treatments. Trials focused on improving the treatment of obesity may need to be pragmatic and more agile than the traditional RCT to enable real time impact on patient care.