Background: Currently, bariatric surgery is the most effective treatment for severe obesity and its metabolic complications; however, 15–35% of the patients that undergo bariatric surgery do not reach their goal for weight loss. The aim of this study was to determine the proportion of patients that didn’t reach the goal of an excess weight loss of 50% or more during the first 12 months and determine the factors associated to this failure. Methods: We obtained the demographic, anthropometric and biochemical information from 130 patients with severe obesity who underwent bariatric surgery in our institution between 2012 and 2017. We used self-reports of physical activity, caloric intake and diet composition. An unsuccessful weight loss was considered when the patient lost < 50% or more of the excess weight 12 months after surgery. We compared the characteristics between the successful and unsuccessful groups in order to find the factors associated with success. Results: We included 130 patients (mean age 48 ± 9 years, 81.5% were women). One year after surgery, 26 (20%) had loss < 50% EBW. Unsuccessful surgery was associated with an older age, previous history of hypertension, abdominal surgery or depression/anxiety, also the number of comorbidities and unemployment affected the results. These patients loss enough weight to improve some of their comorbidities, but they are more prone to regain weight 2 years after surgery. Conclusions: A fifth of the patients undergoing bariatric surgery may not lose enough weight to be considered successful by current standards. Some patients may benefit from the surgery in the short term, but they are more likely to regain weight after 2 years. The factors influencing this result are still controversial but may be population-specific. Early detection of the patients that are more likely to fail is imperative to establish additional therapeutic strategies, without denying them the opportunity of surgery or waiting for weight re-gain to occur.

Background: Estrogen plays a crucial role in adipose tissue homeostasis, influencing fat distribution, lipid metabolism, and insulin sensitivity. Through estrogen receptor (ER) activation, particularly ERα, estradiol (E2) regulates adipogenesis, inhibits adipocyte hypertrophy, and promotes insulin signaling. It enhances lipid oxidation, reduces lipogenesis, and suppresses pro-inflammatory cytokine production, thereby maintaining metabolic health. Primary ovarian insufficiency (POI), characterized by estrogen deficiency before the age of 40, disrupts this regulatory network, leading to adverse metabolic effects. Objetives: This review examines the effects of estrogen on adipose tissue, lipid metabolism, and carbohydrate metabolism, with a particular focus on clinical evidence in women with POI. Methods: A narrative review of the metabolic alterations associated with POI, emphasizing the molecular, biochemical, and metabolic mechanisms underlying estrogen deficiency, with a special focus on adipose tissue. Results: Women with POI exhibit increased visceral fat accumulation, reduced lean mass, and alterations in adipokine secretion, resembling the metabolic phenotype of postmenopausal women. The decline in estrogen levels contributes to central adiposity, impaired lipid metabolism, and insulin resistance, exacerbating the risk of type 2 diabetes (T2D) and cardiovascular disease (CVD). The loss of estrogenic regulation leads to enhanced lipolysis in visceral fat, raising free fatty acid flux to the liver, promoting hepatic steatosis, and worsening insulin resistance. Studies indicate that POI patients have significantly higher total cholesterol, low-density lipoprotein (LDL) cholesterol, and triglycerides compared to age-matched controls, reinforcing their heightened CVD risk. Reduced sex hormone-binding globulin (SHBG) levels increase free androgen availability, aggravating central fat deposition. These metabolic disturbances can potentially accelerate atherosclerosis and vascular aging, increasing morbidity and mortality in POI patients. Conclusions: Understanding the role of estrogen in adipose tissue and its disruption in POI highlights the importance of early intervention. Although the available evidence is limited and largely extrapolated from menopause studies, strategies such as hormone replacement therapy, lifestyle modifications, and lipid profile optimization are essential to mitigate metabolic consequences and improve long-term health outcomes in women with POI.

Background: Pituitary adenomas (PA) are the second most common tumor in the central nervous system and have low counts of mutated genes. Splicing occurs in 95% of the coding RNA. There is scarce information about the spliceosome and mRNA-isoforms in PA, and therefore we carried out proteomic and transcriptomic analysis to identify spliceosome components and mRNA isoforms in PA. Methods: Proteomic profile analysis was carried out by nano-HPLC and mass spectrometry with a quadrupole time-of-flight mass spectrometer. The mRNA isoforms and transcriptomic profiles were carried out by microarray technology. With proteins and mRNA information we carried out Gene Ontology and exon level analysis to identify splicing-related events. Results: Approximately 2000 proteins were identified in pituitary tumors. Spliceosome proteins such as SRSF1, U2AF1 and RBM42 among others were found in PA. These results were validated at mRNA level, which showed up-regulation of spliceosome genes in PA. Spliceosome-related genes segregate and categorize PA tumor subtypes. The PA showed alterations in CDK18 and THY1 mRNA isoforms which could be tumor specific. Conclusions: Spliceosome components are significant constituents of the PA molecular machinery and could be used as molecular markers and therapeutic targets. Splicing-related genes and mRNA-isoforms profiles characterize tumor subtypes.

Background: Mexico has one of the highest prevalence rates of obesity worldwide. New pharmacological strategies that focus on people with class III obesity are required. Metformin and dapagliflozin are two drugs approved for the treatment of diabetes. Beyond its effects on glucose, metformin has been suggested by some studies to result in weight loss. Therapy with dapagliflozin is associated with a mild but sustained weight loss in patients with diabetes. The primary outcome of the study is to determine if the combined treatment with dapagliflozin and metformin is more effective than monotherapy with metformin for weight loss in patients with class III obesity and prediabetes or diabetes who are awaiting bariatric surgery (including those patients who do have surgery). We also aimed to assess the effect of this combined treatment on waist circumference, triglycerides, blood pressure, and inflammatory cytokines. Methods: This randomized phase IV clinical trial will include patients with diabetes or prediabetes who are between the ages of 18 and 60 years and exhibit grade III obesity (defined as body mass index ≥ 40 kg/m²). Patients using insulin will be excluded. Subjects will be randomized to one of two groups as follows: 1) metformin tablets 850 mg PO bid or 2) metformin tablets 850 mg PO bid plus dapagliflozin tablets 10 mg PO qd. The sample size required is 108 patients, which allows for a 20% dropout rate: 54 patients in the metformin group and 54 in the metformin/dapagliflozin group. All participants will receive personalized nutritional advice during the study. A run-in period of one month will be used to assess tolerance and adherence to treatment regimens. Anthropometric and biochemical variables will be recorded at baseline and at 1, 3, 6, and 12 months. A serum sample to determine glucagon, ghrelin, adiponectin, resistin, interleukin 6, and interleukin 10 will be collected at baseline and before surgery, or at 12 months (whatever happens first). Adherence to treatment and adverse and secondary events will be recorded throughout the study. An intention-to-treat analysis will be used. Discussion: Forty-six percent of the patients in our Obesity Clinic have been diagnosed with prediabetes (32%) or diabetes (14%). The use of dapagliflozin in this population could improve weight loss and other cardiovascular factors. This effect could be translated into less time before undergoing bariatric surgery and better control of associated comorbidities. Trial registration: Clinicaltrials.gov, ID: NCT03968224. Retrospectively registered on May 29, 2019.

Context: Genetic tests are part of the routine clinical approach to syndromic and nonsyndromic phenotypes of neuroendocrine neoplasms (NENs). Current data on phenotype–genotype associations in NENs, however, do not accurately represent all populations. Objective: To describe the frequency, inventory, and clinical associations of germline defects associated with multiple types of NENs in a Mexican cohort. Methods: Blood DNA from Mexican adults with NENs was analyzed with a 53-gene next-generation sequencing panel developed ad hoc (n = 90) or Sanger sequencing (n = 2). Single nucleotide variants, indels, and structural variants were identified, classified, and subjected to orthogonal confirmation. When possible, tumor samples and blood DNA from additional family members were tested using Sanger sequencing. Results: Ninety-two probands (70.7% women, 51.5% sporadic) were included; 16 carried pathogenic or likely pathogenic (P/LP) variants and were significantly younger at disease onset than the rest (29.6 ± 10.7 vs 40 [21.5-51.5] years, P = .0384). Likely driving variants were identified in three-quarters of Von Hippel Lindau syndrome cases, one-third of multiple endocrine neoplasia (MEN) type 1, one-quarter of early-onset acromegaly/gigantism, and individual cases of Cushing's disease, MEN2A, and medullary thyroid carcinoma. One patient with clinical MEN1 associated with an SDHA variant and 1 with a pituitary tumor and neurofibromatosis type 1 were also identified. Probands with familial disease were more likely to carry P/LP variants than sporadic cases (26.7 vs 8.5%, P = .0282). Conclusion: P/LP variants were identified in 17.4% of individuals with NENs. Our research provides a view of the landscape of NEN drivers in a population not previously characterized.