Traditional Cardiovascular Risk Factors Associated with Diagonal Earlobe Crease (Frank Sign) in Mexican Adults: Aging, Obesity, Arterial Hypertension, and Being Male Are the Most Important.

Introduction: Cardiovascular risk factors such as obesity, type 2 diabetes, hypertension, smoking, and dyslipidemia enfold heart disease morbimortality. Diagonal earlobe crease has been proposed as a prognostic marker of extension and severity of illness in patients with acute coronary syndrome. But its usefulness remains unclear in patients with or without coronary disease. Methods: A case-control study was carried out on a total of 805 patients with and without cardiovascular risk factors or acute coronary syndrome. Univariate and multivariate binary logistic regression analyses were used to determine the probability of having diagonal earlobe crease with the presence of cardiovascular risk factors and acute coronary syndrome. Data were summarized as odds ratio with 95% confidence intervals and P values. Results: An unadjusted (univariate) analysis showed that being male, being older than 55 years, obesity, type 2 diabetes mellitus, arterial hypertension, smoking, and dyslipidemia, as well as having acute coronary syndrome, were associated with the presence of diagonal earlobe crease. The multivariate analysis showed that men (OR 1.6, 95% IC 1.1-2.4, P=0.007), being over 55 years old (OR 4.8, 95% IC 3.2-7.2, P < 0.001), being obese (OR 2.1, 95% IC 1.4-3.1, P < 0.001), having arterial hypertension (1.5, 95% IC 1.1-2.3, P=0.025), or suffering from acute coronary syndrome (OR 5.3, 95% IC 2.5-11.1, P < 0.001), were independent factors associated with diagonal earlobe crease. The rest of cardiovascular risk factors were not relevant in the multivariate model. Conclusions: In Mexican adults, having an acute coronary syndrome is not the only factor associated with diagonal earlobe crease but also being a man, older than 55 years, having high blood pressure and obesity. Diagonal earlobe crease may simply be caused by changes in the skin and connective tissues of the ears because of the aging process, obesity, and/or being male. These factors, by themselves, enfold cardiovascular risk due to well-known pathophysiological causes.

Vitamin D3 (Calcitriol) Monotherapy Decreases Tumor Growth, Increases Survival, and Correlates with Low Neutrophil-to-Lymphocyte Ratio in a Murine HPV-16-Related Cancer Model.

Vitamin D3 or calcitriol (VitD3) has been shown to have anticancer and anti-inflammatory activity in in vitro models and clinical studies. However, its effect on HPV-16-related cancer has been sparsely explored. In this study, we aimed to determine whether monotherapy or combination therapy with cisplatin (CP) reduces tumor growth and affects survival and systemic inflammation. Treatments were administered to C57BL/6 mice with HPV-16-related tumors (TC-1 cells) as follows: (1) placebo (100 µL vehicle, olive oil, orally administered daily); (2) VitD3 (3.75 µg/kg calcitriol orally administered daily); (3) CP (5 mg/kg intraperitoneally, every 7 days); and (4) VitD3+CP. Tumor growth was monitored for 25 days, survival for 60 days, and the neutrophil-to-lymphocyte ratio (NLR) was evaluated on days 1 (baseline), 7, and 14. VitD3+CP showed greater success in reducing tumor volume compared to CP monotherapy (p = 0.041), while no differences were observed between CP and VitD3 monotherapy (p = 0.671). Furthermore, VitD3+CP prolonged survival compared to CP (p = 0.036) and VitD3 (p = 0.007). Additionally, at day 14 the VitD3 and VitD3+CP groups showed significantly lower NLR values than the CP group (p < 0.05, for both comparisons). Vitamin D3 could be a promising adjuvant in the treatment of cervical cancer or solid tumors and deserves further investigation.

Gene variants rs5182, rs2074192, and rs4343 in the renin-angiotensin-aldosterone system are associated with symptom severity, higher odds of hospitalization, and death in COVID-19.

OBJECTIVES: To analyze the gene variants of the renin-angiotensin-aldosterone system and determine their association with the severity and outcome of COVID-19. METHODS: A total of 104 patients were included in the study: 34 asymptomatic patients with COVID-19 as controls and 70 symptomatic patients as cases. The genetic variants ACE rs4343, ACE2 rs2074192, AGTR1 rs5182, and AGT rs4762 were identified using TaqMan genotyping tests. RESULTS: Patients with the T/T genotype of AGTR1 rs5182 have a higher probability of developing symptomatic COVID-19 (odds ratio [OR] 12.25, 95% confidence interval [CI] 1.34-111.9, P ≤0.001) and a higher risk of hospitalization because of disease (OR 14.00, 95% CI 1.53-128.49, P = 0.012). The haplotype CTG (AGTR1 rs5182, ACE2 rs2074192, ACE rs4343) decreased the odds of death related to COVID-19 in the study population (OR 0.03, 95% CI 0.0-0.06, P = 0.026). CONCLUSIONS: The T/T genotype of the AGTR1 rs5182 variant increased the probability of symptomatic COVID-19 and hospitalization, whereas the haplotype CTG (consisting of AGTR1 rs5182, ACE2 rs2074192, and ACE rs4343) decreased the odds of death related to COVID-19 by 97% in the hospitalized patients with COVID-19. These results support the participation of renin-angiotensin-aldosterone system gene variants as modifiers of the severity of symptoms associated with SARS-CoV-2 infection and the outcome of COVID-19.

Nine-Month Trend of IgG Antibody Persistence and Associated Symptoms Post-SARS-CoV-2 Infection.

Between 2 and 8.5% of patients who recover from COVID-19 do not develop antibodies, and the durability of IgG antibodies is under scrutiny. Therefore, the presence and persistence of IgM and IgG antibodies were evaluated in a group of patients diagnosed with SARS-CoV-2 from May to August 2020. Out of 2199 suspected COVID-19 cases, 1264 were confirmed for SARS-CoV-2 by rRT-PCR; 328 consented to participate in the study, with 220 participants followed for 9 months, including 124 men (56%) and 96 women (44%). The primary symptoms were headache, dry cough, and fever. IgG antibodies developed in 95% of patients within 4 weeks post-diagnosis, and a second evaluation at 9 months showed that 72.7% still had detectable IgG antibodies. The presence of IgM in one individual (0.45%) suggested the possibility of reinfection.

Time­dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID­19: Study of a hospital cohort with very high mortality.

Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO2/FiO2 arterial oxygen pressure/fraction of inspired oxygen (Kirby index), the Critical Illness Risk Score (COVID-GRAM), the National Early Warning Score 2 (NEWS-2), the quick Sequential Organ Failure Assessment score (qSOFA), the Fibrosis-4 index (FIB-4) and the Viral Pneumonia Mortality Score (MuLBSTA were evaluated using time-dependent ROC curves. Clinical data were collected at admission and at 2, 4, 6 and 8 days into hospitalization. The study calculated the area under the curve (AUC), sensitivity, specificity, and predictive values for each index at these time points. Mortality was 43.9%. Throughout all time points, NEWS-2 demonstrated the highest predictive power for mortality, as indicated by its AUC values. PSI and COVID-GRAM followed, with predictive power increasing as hospitalization duration progressed. Additionally, NEWS-2 exhibited the highest sensitivity (>96% in all periods) but showed low specificity, which increased from 22.9% at admission to 58.1% by day 8. PSI displayed good predictive capacity from admission to day 6 and excellent predictive power at day 8 and its sensitivity remained >80% throughout all periods, with moderate specificity (70.6-77.3%). COVID-GRAM demonstrated good predictive capacity across all periods, with high sensitivity (84.2-87.3%) but low-to-moderate specificity (61.5-67.6%). The qSOFA index initially had poor predictive power upon admission but improved after 4 days. FIB-4 had a statistically significant predictive capacity in all periods (P=0.001), but with limited clinical value (AUC, 0.639-0.698), and with low sensitivity and specificity. MuLBSTA and IKIRBY exhibited low predictive power at admission and no power after 6 days. In conclusion, in COVID-19 patients with high mortality rates, NEWS-2 and PSI consistently exhibited predictive power for death during hospital stay, with PSI demonstrating the best balance between sensitivity and specificity.

Gene Variants of the OAS/RNase L Pathway and Their Association with Severity of Symptoms and Outcome of SARS-CoV-2 Infection.

INTRODUCTION: The interferon pathway plays a critical role in triggering the immune response to SARS-CoV-2, and these gene variants may be involved in the severity of COVID-19. This study aimed to analyze the frequency of three gene variants of OAS and RNASEL with the occurrence of COVID-19 symptoms and disease outcome. METHODS: This cross-sectional study included 104 patients with SARS-CoV-2 infection, of which 34 were asymptomatic COVID-19, and 70 were symptomatic cases. The variants rs486907 (RNASEL), rs10774671 (OAS1), rs1293767 (OAS2), and rs2285932 (OAS3) were screened and discriminated using a predesigned 5'-nuclease assay with TaqMan probes. RESULTS: Patients with the allele C of the OAS2 gene rs1293767 (OR = 0.36, 95% CI: 0.15-0.83, p = 0.014) and allele T of the OAS3 gene rs2285932 (OR = 0.39, 95% CI: 0.2-0.023, p = 0.023) have lower susceptibility to developing symptomatic COVID-19. The genotype frequencies (G/G, G/C, and C/C) of rs1293767 for that comparison were 64.7%, 29.4%, and 5.9% in the asymptomatic group and 95.2%, 4.8%, and 0% in severe disease (p < 0.05). CONCLUSIONS: Our data indicate that individuals carrying the C allele of the OAS2 gene rs1293767 and the T allele of the OAS3 gene rs2285932 are less likely to develop symptomatic COVID-19, suggesting these genetic variations may confer a protective effect among the Mexican study population. Furthermore, the observed differences in genotype frequencies between asymptomatic individuals and those with severe disease emphasize the potential of these variants as markers for disease severity. These insights enhance our understanding of the genetic factors that may influence the course of COVID-19 and underscore the potential for genetic screening in identifying individuals at increased risk for severe disease outcomes.

Antifibrotic Drugs against Idiopathic Pulmonary Fibrosis and Pulmonary Fibrosis Induced by COVID-19: Therapeutic Approaches and Potential Diagnostic Biomarkers.

The COVID-19 pandemic has had a significant impact on the health and economy of the global population. Even after recovery from the disease, post-COVID-19 symptoms, such as pulmonary fibrosis, continue to be a concern. This narrative review aims to address pulmonary fibrosis (PF) from various perspectives, including the fibrotic mechanisms involved in idiopathic and COVID-19-induced pulmonary fibrosis. On the other hand, we also discuss the current therapeutic drugs in use, as well as those undergoing clinical or preclinical evaluation. Additionally, this article will address various biomarkers with usefulness for PF prediction, diagnosis, treatment, prognosis, and severity assessment in order to provide better treatment strategies for patients with this disease.

Efficacy of Hot Tea Infusion vs. Ethanolic Extract of Moringa oleifera for the Simultaneous Treatment of Nonalcoholic Fatty Liver, Hyperlipidemia, and Hyperglycemia in a Murine Model Fed with a High-Fat Diet.

Moringa oleifera (MO) is a native tree of Asia and is cultivated in some areas of Mexico as part of traditional horticulture. The aim of the present study was to compare the efficacy of MO infusion vs. MO ethanolic extract for the simultaneous treatment of nonalcoholic fatty liver (NAFLD), hyperlipidemia, and hyperglycemia in a murine model fed with a high-fat diet (HFD). BALB/c mice were fed a balanced diet (healthy control) or an HFD for 6 months. With this, the NAFLD model was established before starting a therapeutic intervention with MO for two months. The phytochemical analysis by nuclear magnetic resonance in 1H and 13C experiments showed signals for pyrrole alkaloids and triterpenes as the main constituents of the extract and infusion preparation. A significant reduction of SGPT, SGOT, lipids, urea, and glucose in blood among NAFLD groups treated with MO (infusion or extract) was found, when compared to the NAFLD-placebo group. Steatosis and liver inflammation were found to be decreased in the MO groups, as infusion or ethanolic extract. Infusion produced a better therapeutic effect than the extract in all parameters, except glycemic control, where the extract was better. As an additional finding, it is noteworthy that treatment with MO, particularly through infusion, resulted in improved motor activity. Moreover, a reduction in anxiety-like behavior was observed exclusively with the administration of infusion. These observations provide valuable insights into the potential broader effects of Moringa oleifera beyond the primary aim of the study.

Differences in the Evolution of Clinical, Biochemical, and Hematological Indicators in Hospitalized Patients with COVID-19 According to Their Vaccination Scheme: A Cohort Study in One of the World's Highest Hospital Mortality Populations.

COVID-19 vaccines primarily prevent severe illnesses or hospitalization, but there is limited data on their impact during hospitalization for seriously ill patients. In a Mexican cohort with high COVID-19 mortality, a study assessed vaccination's effects. From 2021 to 2022, 462 patients with 4455 hospital days were analyzed. The generalized multivariate linear mixed model (GENLINMIXED) with binary logistic regression link, survival analysis and ROC curves were used to identify risk factors for death. The results showed that the vaccinated individuals were almost half as likely to die (adRR = 0.54, 95% CI = 0.30-0.97, p = 0.041). When stratifying by vaccine, the Pfizer group (BNT162b2) had a 2.4-times lower risk of death (adRR = 0.41, 95% CI = 0.2-0.8, p = 0.008), while the AstraZeneca group (ChAdOx1-S) group did not significantly differ from the non-vaccinated (adRR = 1.04, 95% CI = 0.5-2.3, p = 0.915). The Pfizer group exhibited a higher survival, the unvaccinated showed increasing mortality, and the AstraZeneca group remained intermediate (p = 0.003, multigroup log-rank test). Additionally, BNT162b2-vaccinated individuals had lower values for markers, such as ferritin and D-dimer. Biochemical and hematological indicators suggested a protective effect of both types of vaccines, possibly linked to higher lymphocyte counts and lower platelet-to-lymphocyte ratio (PLR). It is imperative to highlight that these results reinforce the efficacy of COVID-19 vaccines. However, further studies are warranted for a comprehensive understanding of these findings.

Evaluation of dapsone and its synthetic derivative DDS­13 in cancer in vitro.

The present study highlighted the repositioning of the drug dapsone (DDS) for cancer therapy. Due to its mechanism of action, DDS has a dual effect as an antibiotic and as an anti-inflammatory/immunomodulator; however, at high doses, it has important adverse effects. The derivative DDS-13 [N,N'-(sulfonyl bis (4,1-phenylene)) dioctanamide] was synthesized through an N-acylation reaction to compare it with DDS. Its cytotoxic effects in cancer cells (DU145 and HeLa) and non-cancer cells (HDFa) were observed at concentrations ranging 0.01-100 µM and its physicochemical/pharmacokinetic properties were analyzed using the SwissADME tool. The objectives of the present study were to evaluate the anticancer activity of both DDS and DDS-13 and to identify the physicochemical and pharmacokinetic properties of DDS-13. The results showed that DDS-13 presented a cytotoxic effect in the DU145 cell line (IC50=19.06 µM), while DDS showed a cytotoxic effect on both the DU145 (IC50=11.11 µM) and HeLa (IC50=13.07 µM) cell lines. DDS-13 appears to be a good cytotoxic candidate for the treatment of prostate cancer, while DDS appears to be a good candidate for both cervical and prostate cancer. Neither candidate showed a cytotoxic effect in non-cancerous cells. The different pharmacokinetic properties of DDS-13 make it a new candidate for evaluation in preclinical models for the treatment of cancer.

The S/S Genotype of the 5-HTTLPR (Serotonin-Transporter-Linked Promoter Region) Variant of the SLC6A4 Gene Decreases the Risk of Pre-Eclampsia.

Pre-eclampsia (PE) is a disorder characterized by hypertension in the second trimester of pregnancy that results from abnormal placentation affecting fetal development and maternal health. Previous studies have shown the role of serotonin (5-HT) that leads to poor placental perfusion, where S/S and S/L polymorphisms promote the solute carrier family 6 member 4 (SLC6A4) gene associated with the risk of developing changes in the microvasculature of the placenta. This study looked at the association between the gene variant 5-HTTLPR (serotonin-transporter-linked promoter region) of the SLC6A4 gene and the occurrence of PE. A total of 200 women were included: 100 cases (pregnant with PE) and 100 controls (pregnant without complications). Genotyping of the 5-HTTLPR variant was performed using polymerase chain reaction (PCR). Associations between the presence of the genetic variant of interest and PE and other clinical features were evaluated statistically. The frequencies of S/S, S/L, and L/L genotypes were 32%, 53%, and 15% for the cases and 55%, 25%, and 20% in the control group. Compared to the controls, the genotype frequencies S/S vs. S/L + L/L (recessive model) in the cases group were different (p = 0.002). The S/S genotype decreased the probability of PE (OR = 0.39, 95% IC: 0.22-0.69, p = 0.002) and PE with severity criteria (OR = 0.39, 95% IC: 0.17-0.91, p = 0.045). The 5-HTTLPR gene variant of the SLC6A4 gene modifies the risk of PE development among the studied population.

Circulating Biomarkers Associated with the Diagnosis and Prognosis of B-Cell Progenitor Acute Lymphoblastic Leukemia.

Acute lymphoblastic leukemia (ALL) is a hematological disease characterized by the dysfunction of the hematopoietic system that leads to arrest at a specific stage of stem cells development, suppressing the average production of cellular hematologic components. BCP-ALL is a neoplasm of the B-cell lineage progenitor. BCP-ALL is caused and perpetuated by several mechanisms that provide the disease with its tumor potential and genetic and cytological characteristics. These pathological features are used for diagnosis and the prognostication of BCP-ALL. However, most of these paraclinical tools can only be obtained by bone marrow aspiration, which, as it is an invasive study, can delay the diagnosis and follow-up of the disease, in addition to the anesthetic risk it entails for pediatric patients. For this reason, it is crucial to find noninvasive and accessible ways to supply information concerning diagnosis, prognosis, and the monitoring of the disease, such as circulating biomarkers. In oncology, a biomarker is any measurable indicator that demonstrates the presence of malignancy, tumoral behavior, prognosis, or responses to treatments. This review summarizes circulating molecules associated with BCP-ALL with potential diagnostic value, classificatory capacity during monitoring specific clinic features of the disease, and/or capacity to identify each BCP-ALL stage regarding its evolution and outcome of the patients with BCP-ALL. In the same way, we provide and classify biomarkers that may be used in further studies focused on clinical approaches or therapeutic target identification for BCP-ALL.

Tick-Borne Pathogens Screening Using a Multiplex Real-Time Polymerase Chain Reaction-Based Method.

PURPOSE: This study aims to develop and evaluate a cost-effective, user-friendly multiplex quantitative real-time polymerase chain reaction (qPCR) method for detecting multiple tick-borne pathogens associated with human and veterinary diseases. METHODS: In silico PCR was performed to design and evaluate primer sequences reported for amplifying Rickettsia spp., Borrelia spp., and Ehrlichia spp. Single and multiplex qPCR assays were then standardized to detect individual pathogens and multiple pathogens in a single reaction. Positive controls were generated to determine the dynamic range of the methods. In the validation phase, a total of 800 samples were screened for the presence of tick-borne pathogens. RESULTS: Identification in a single qPCR reaction (multiplex) of Ehrlichia spp., and Borrelia spp. with a limit of detection of 10 copies and Rickettsia spp. with 100 copies, a PCR efficiency (E) of 90-100% and a coefficient of correlation (R2) of 0.998-0.996 for all pathogens. CONCLUSION: The ability to detect three significant pathogens (Ehrlichia spp., Rickettsia spp., and Borrelia spp.) in a single qPCR reaction offers a significant advantage in the field of molecular diagnostics for tick-borne diseases. This advancement has a profound impact on public health as it facilitates the selection of appropriate treatment protocols, thereby reducing complications associated with disease progression. The streamlined approach provided by this method simplifies the diagnostic process and enables timely intervention, ultimately improving patient outcomes and mitigating the potential risks associated with untreated or misdiagnosed tick-borne infections.

Circulating and Endometrial Tissue microRNA Markers Associated with Endometrial Cancer Diagnosis, Prognosis, and Response to Treatment.

In developed countries, endometrial cancer (EC) is one of the most common neoplasms of the female reproductive system. MicroRNAs (miRs) are a class of single-stranded noncoding RNA molecules with lengths of 19-25 nucleotides that bind to target messenger RNA (mRNA) to regulate post-transcriptional gene expression. Although there is a large amount of research focused on identifying miRs with a diagnostic, prognostic, or response to treatment capacity in EC, these studies differ in terms of experimental methodology, types of samples used, selection criteria, and results obtained. Hence, there is a large amount of heterogeneous information that makes it difficult to identify potential miR biomarkers. We aimed to summarize the current knowledge on miRs that have been shown to be the most suitable potential markers for EC. We searched PubMed and Google Scholar without date restrictions or filters. We described 138 miRs with potential diagnostic, prognostic, or treatment response potential in EC. Seven diagnostic panels showed higher sensitivity and specificity for the diagnosis of EC than individual miRs. We further identified miRs up- or downregulated depending on the FIGO stage, precursor lesions, and staging after surgery, which provides insight into which miRs are expressed chronologically depending on the disease stage and/or that are modulated depending on the tumor grade based on histopathological evaluation.

Potassium permanganate use in the management of a wound induced by contact with Paederus: A case report.

Pederin is a vesicant toxic amide, found in the hemolymph of the beetle genus, Paederus. Physical contact with these insects produces a type of irritant dermatitis with variable clinical symptoms. It has been identified that Pederin (a vesicant toxic amide responsible for the ulcerative lesion) is produced by Gram-negative endosymbiotic bacteria of the Pseudomonas genus. The present study describes the case of a patient who had come into contact with the insect Paederus sp. and developed an ulcerative lesion. He was first treated with topical steroids, as part of the conventional management, and following no response to treatment, he was treated locally with a 5% potassium permanganate solution, in conjunction with systemic antibiotic therapy, obtaining a good response in the healing process. On the whole, the present study demonstrates that potassium permanganate solutions, in conjunction with antibiotics and anti-inflammatories, may be beneficial in the treatment of dermatitis or ulcerative lesions caused by insects of the Paederus genus. However, further research is required to fully determine the complete benefits and any side-effects.

Therapeutic Effects of Coumarins with Different Substitution Patterns.

The use of derivatives of natural and synthetic origin has gained attention because of their therapeutic effects against human diseases. Coumarins are one of the most common organic molecules and are used in medicine for their pharmacological and biological effects, such as anti-inflammatory, anticoagulant, antihypertensive, anticonvulsant, antioxidant, antimicrobial, and neuroprotective, among others. In addition, coumarin derivates can modulate signaling pathways that impact several cell processes. The objective of this review is to provide a narrative overview of the use of coumarin-derived compounds as potential therapeutic agents, as it has been shown that substituents on the basic core of coumarin have therapeutic effects against several human diseases and types of cancer, including breast, lung, colorectal, liver, and kidney cancer. In published studies, molecular docking has represented a powerful tool to evaluate and explain how these compounds selectively bind to proteins involved in various cellular processes, leading to specific interactions with a beneficial impact on human health. We also included studies that evaluated molecular interactions to identify potential biological targets with beneficial effects against human diseases.

Doxycycline Prevents Preclinical Atherosclerosis, Pancreatic Islet Loss and Improves Insulin Secretion after Glycemic Stimulation: Preclinical Study in Individuals with a High-Fat Diet.

Doxycycline (Doxy) is an antibiotic, which has exhibited anti-inflammatory activity and glucose metabolism improvement. The present study was proposed to evaluate its effects on glucose metabolism and other associated processes, such as lipemia and adipogenesis, as well as, to evaluate its effects on the liver, pancreas, and aorta in subjects fed with an occidental high-fat diet (HFD). The trial followed three groups of BALB/c mice for 6 months: (1) Standard diet (SD); (2) HFD-placebo (saline solution); and (3) HFD-Doxy (10 mg/kg/day). Intrahepatic fat accumulation (steatohepatosis) and the epididymal fat pad, as well as the hepatic inflammatory infiltrate and ALT serum levels were higher in both groups with the HFD (with/without doxycycline) in comparison with the SD group. The thickness of the aorta (preclinic atherosclerosis) was significantly elevated in the HFD group with respect to the HFD + Doxy and SD group, these two being similar groups to each other. The HFD-Doxy group had pancreatic morphological parameters very similar to those of the SD group; on the contrary, the HFD group reduced the number of pancreatic islets and the number of ß cells per mm2, in addition to losing large islets. The index of ß cell function (∆Insulin0-30/∆Glucose0-30 ratio) was significantly higher in the HFD + Doxy group, compared to the rest of the groups.

Protective Effect of Neutral Electrolyzed Saline on Gentamicin-Induced Nephrotoxicity: Evaluation of Histopathologic Parameters in a Murine Model.

Background and Objectives: Gentamicin (GM) is a nephrotoxic aminoglycoside. Neutral electrolyzed saline (SES) is a compound with anti-inflammatory, antioxidant, and immunomodulatory properties. The objective of the present study was to evaluate whether kidney damage by GM can be prevented and/or reversed through the administration of SES. Materials and Methods: The study was carried out as a prospective, single-blind, five-arm, parallel-group, randomized, preclinical trial. The nephrotoxicity model was established in male BALB/c mice by administering GM at a dose of 100 mg/kg/day intraperitoneally for 30 days, concomitantly administering (+) SES or placebo (physiologic saline solution), and then administering SES for another 30 days after the initial 30 days of GM plus SES or placebo. At the end of the test, the mice were euthanized, and renal tissues were evaluated histopathologically. Results: The GM + placebo group showed significant tubular injury, interstitial fibrosis, and increased interstitial infiltrate of inflammatory cells compared with the group without GM. Tubular injury and interstitial fibrosis were lower in the groups that received concomitant GM + SES compared with the GM + placebo group. SES administration for 30 days after the GM administration periods (GM + placebo and GM + SES for 30 days) did not reduce nephrotoxicity. Conclusions: Intraperitoneal administration of SES prevents gentamicin-induced histologic nephrotoxicity when administered concomitantly, but it cannot reverse the damage when administered later.

Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective.

Diabetes mellitus is a disease with no cure that can cause complications and even death. Moreover, over time, it will lead to chronic complications. Predictive models have been used to identify people with a tendency to develop diabetes mellitus. At the same time, there is limited information regarding the chronic complications of patients with diabetes. Our study is aimed at creating a machine-learning model that will be able to identify the risk factors of a diabetic patient developing chronic complications such as amputations, myocardial infarction, stroke, nephropathy, and retinopathy. The design is a national nested case-control study with 63,776 patients and 215 predictors with four years of data. Using an XGBoost model, the prediction of chronic complications has an AUC of 84%, and the model has identified the risk factors for chronic complications in patients with diabetes. According to the analysis, the most crucial risk factors based on SHAP values (Shapley additive explanations) are continued management, metformin treatment, age between 68 and 104 years, nutrition consultation, and treatment adherence. But we highlight two exciting findings. The first is a reaffirmation that high blood pressure figures across patients with diabetes without hypertension become a significant risk factor at diastolic > 70 mmHg (OR: 1.095, 95% CI: 1.078-1.113) or systolic > 120 mmHg (OR: 1.147, 95% CI: 1.124-1.171). Furthermore, people with diabetes with a BMI > 32 (overall obesity) (OR: 0.816, 95% CI: 0.8-0.833) have a statistically significant protective factor, which the paradox of obesity may explain. In conclusion, the results we have obtained show that artificial intelligence is a powerful and feasible tool to use for this type of study. However, we suggest that more studies be conducted to verify and elaborate upon our findings.