A Simplified Screening Model to Predict the Risk of Gestational Diabetes Mellitus in Caucasian and Latin American Pregnant Women.

The pathophysiology of gestational diabetes mellitus (GDM) comprises clinical and genetic factors. In fact, GDM is associated with several single nucleotide polymorphisms (SNPs). This study aimed to build a prediction model of GDM combining clinical and genetic risk factors. A total of 1588 pregnant women from the San Carlos Cohort participated in the present study, including 1069 (67.3%) Caucasian (CAU) and 519 (32.7%) Latin American (LAT) individuals, and 255 (16.1%) had GDM. The incidence of GDM was similar in both groups (16.1% CAU and 16.0% LAT). Genotyping was performed via IPLEX Mass ARRAY PCR, selecting 110 SNPs based on literature references. SNPs showing the strongest likelihood of developing GDM were rs10830963, rs7651090, and rs1371614 in CAU and rs1387153 and rs9368222 in LAT. Clinical variables, including age, pre-pregnancy body mass index, and fasting plasma glucose (FPG) at 12 gestational weeks, predicted the risk of GDM (AUC 0.648, 95% CI 0.601-0.695 in CAU; AUC 0.688, 95% CI 0.628-9.748 in LAT), and adding SNPs modestly improved prediction (AUC 0.722, 95%CI 0.680-0.764 in CAU; AUC 0.769, 95% CI 0.711-0.826 in LAT). In conclusion, adding genetic variants enhanced the prediction model of GDM risk in CAU and LAT pregnant women.

Gut microbiota profiles in feces and paired tumor and non-tumor tissues from Colorectal Cancer patients. Relationship to the Body Mass Index.

Colorectal Cancer (CRC) and Obesity constitute two of the most common malignancies in the western world, and previously have been associated with intestinal microbial composition alterations. Our main aim in this study is to provide molecular data on intestinal microbiota patterns in subjects with CRC, as well as to establish possible associations with their Body Mass Index (BMI). A total of 113 samples from 45 subjects were collected and submitted to metagenomics analysis for gut microbiota. This study was performed by 16S ribosomal RNA bacterial gene amplification and sequencing using the Ion Torrent™ technology. The same dominant phyla were observed in feces and colorectal tissues, although a greater proportion of Fusobacteriota was found in tumor samples. Moreover, at the genus level, LEfSe analysis allowed us to detect a significant increase in Fusobacterium and Streptococcus in colorectal tissues with respect to fecal samples, with a significant preponderance of Fusobacterium in tumor tissues. Also, our data revealed relevant associations between gut microbiota composition and tumor location. When comparing bacterial profiles between right and left colon cancers, those from the left-sided colon showed a significant preponderance, among others, of the order Staphylococcales. Moreover, phyla Firmicutes and Spirochaetota were more abundant in the group of right-sided CRCs and phylum Proteobacteria was increased in rectal cancers. In relation to BMI of patients, we detected significant differences in beta diversity between the normal weight and the obese groups of cases. Microbiota from obese patients was significantly enriched, among others, in Bacteroidales. Therefore, our results are useful in the molecular characterization of CRC in obese and non-obese patients, with a clear impact on the establishment of diagnostic and prognosis of CRC.

A snapshot of COVID-19 infection in patients with solid tumors.

Coronavirus disease 2019 (COVID-19) pandemic is affecting a high percentage of the population at an unprecedented rate. Cancer patients comprise a subgroup especially vulnerable to this infection. Herein, we present a prospective analysis of epidemiological, clinical, radiological and laboratory data of consecutive adult cancer patients seen in the Clínico San Carlos University Hospital (Madrid, Spain), and admitted to hospital and tested for COVID-19 between 21 February 2020 and 8 May 2020 due to clinical suspicion of infection. Data from 73 patients with confirmed COVID-19 and active solid tumors or diagnosed within the previous 5 years were analyzed. The most frequent malignancy was lung cancer (19%) and 54 patients (74%) were on active cancer treatment. Most common findings on presentation included cough (55%), fever (52%) and dyspnea (45%), and 32 (44%) patients showed oxygen saturation levels below 95%. Radiologically, 54 (73%) patients presented an abnormal pattern, the most frequent being infiltrates (64%). 18 (24.7%) patients died in hospital and 55 (75.3%) were discharged with clinical resolution of the event. Multivariable logistic regression adjusted for age and tumor stage showed higher odds of in-hospital death associated with a history of cardiovascular disease, hospitalization in the previous 30 days, and several features on admission including dyspnea, higher qSOFA score, higher C-reactive protein levels and an abnormal neutrophil count. We present prospective, real-world evidence that can help articulate cancer care protocols for patients infected with SARS-CoV-2, with special focus on features on admission that can stratify patients with a higher risk of death from COVID-19.