Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

EARLY WEIGHT LOSS OUTCOMES AND GLUCOSE METABOLISM PARAMETERS AFTER BANDED VERSUS NON-BANDED ONE ANASTOMOSIS GASTRIC BYPASS: A PROSPECTIVE RANDOMIZED TRIAL

ABSTRACT BACKGROUND: The influence of the placement of a band on the outcomes of one anastomosis gastric bypass (OAGB) has not been appropriately studied yet. OBJECTIVE: To compare early weight loss and glucose metabolism parameters following banded versus non-banded OAGB. METHODS: A prospective randomized study, which evaluated 20 morbidly obese individuals who underwent banded and non-banded OAGB and were followed-up for three months. Weight loss (percentage of excess weight loss - %EWL and percentage of body mass index loss - %BMIL) and glucose metabolism outcomes (glucose, insulin and homeostasis model assessment - HOMA) were compared. RESULTS: The banded group presented a significantly higher %EWL at one month (29.6±5.5% vs 17.2±3.4%; P<0.0001) and two months post-surgery (46±7% vs 34.2±9%; P=0.004544), as well as a significantly higher %BMIL at one month (9.7±1.1% vs 5.8±0.8%; P<0.0001), two months (15±1.4% vs 11.5±2.1; P=0.000248), and three months (18.8±1.8% vs 15.7±3.2%; P=0.016637). At three months, banded OAGB led to significant decreases of insulin (14.4±4.3 vs 7.6±1.9; P=0.00044) and HOMA (3.1±1.1 vs 1.5±0.4; P=0.00044), whereas non-banded OAGB also led to significant decreases of insulin (14.8±7.6 vs 7.8±3.1; P=0.006) and HOMA (3.2±1.9 vs 1.6±0.8; P=0.0041). The percent variation of HOMA did not significantly differ between banded and non-banded OAGB (P=0.62414); overall, the percent variation of HOMA was not correlated with %EWL (P=0.96988) or %BMIL (P=0.82299). CONCLUSION: Banded OAGB led to a higher early weight loss than the standard technique. Banded and non-banded OAGB led to improvements in insulin resistance regardless of weight loss

Solitary pancreatic metastasis from breast cancer: case report and review of literature

ABSTRACT CONTEXT: Pancreatic metastases from primary malignant tumors at other sites are rare, constituting about 2% of the neoplasms that affect the pancreas. Pancreatic metastasis from breast cancer is extremely rare and difficult to diagnose, because its clinical and radiological presentation is similar to that of a primary pancreatic tumor. CASE REPORT: A 64-year-old female developed a lesion in the pancreatic tail 24 months after neoadjuvant therapy, surgery and adjuvant radiation therapy for right-side breast cancer (ductal carcinoma). She underwent distal pancreatectomy with splenectomy and left adrenalectomy, and presented an uneventful outcome. The immunohistochemical analysis on the surgical specimen suggested that the lesion originated from the breast. CONCLUSION: In cases of pancreatic lesions detected in patients with a previous history of breast neoplasm, the possibility of pancreatic metastasis should be carefully considered

Bariatric surgery as a treatment for pseudotumor cerebri: case study and narrative review of the literature

<div><p>ABSTRACT CONTEXT: Pseudotumor cerebri occurs when there is an increase in intracranial pressure without an underlying cause, usually leading to loss of vision. It is most commonly observed in obese women of child-bearing age. CASE REPORT: A 46-year-old woman presented at our service with idiopathic intracranial hypertension that had been diagnosed two years earlier, which had led to chronic refractory headache and an estimated 30% loss of visual acuity, associated with bilateral papilledema. She presented partial improvement of the headache with acetazolamide, but the visual loss persisted. Her intracranial pressure was 34 cmH2O. She presented a body mass index of 39.5 kg/m2, also associated with high blood pressure. Computed tomography of the cranium with endovenous contrast did not show any abnormalities. She underwent Roux-en-Y gastric bypass with uneventful postoperative evolution. One month following surgery, she presented a 24% excess weight loss. An ophthalmological examination revealed absence of visual loss and remission of the papilledema. There were no new episodes of headache following the surgery. There was also complete resolution of high blood pressure. The intracranial pressure decreased to 24 cmH2O, six months after the surgery. CONCLUSION: Although the condition is usually associated with obesity, there are few reports of bariatric surgery among individuals with pseudotumor cerebri. In cases studied previously, there was high prevalence of resolution or improvement of the disease following bariatric surgery. There is no consensus regarding which technique is preferable. Thus, further research is necessary in order to establish a specific algorithm.</p></div