Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there are several conventional cancer diagnostics available, they have certain limitations that hinder their effectiveness. Significant research efforts are currently being dedicated to elucidating novel methodologies that aim at comprehending the intricate molecular mechanism that underlies CRC. Recently, microfluidic diagnostics have emerged as a pivotal solution, offering non-invasive approaches to real-time monitoring of disease progression and treatment response. Microfluidic devices enable the integration of multiple sample preparation steps into a single platform, which speeds up processing and improves sensitivity. Such advancements in diagnostic technologies hold immense promise for revolutionizing the field of CRC diagnosis and enabling efficient detection and monitoring strategies. This article elucidates several of the latest developments in microfluidic technology for CRC diagnostics. In addition to the advancements in microfluidic technology for CRC diagnostics, the integration of artificial intelligence (AI) holds great promise for further enhancing diagnostic capabilities. Advancements in microfluidic systems and AI-driven approaches can revolutionize colorectal cancer diagnostics, offering accurate, efficient, and personalized strategies to improve patient outcomes and transform cancer management.

Urinary albumin excretion has been consistently found to be normal in a significant number of subjects with early stages of diabetic kidney disease. This study was aimed to estimate the prevalence and characteristics of non-albuminuric chronic kidney disease associated with type 2 diabetes mellitus among subjects who reach advanced stages of renal failure. Study population was composed of incident patients with advanced chronic kidney disease (glomerular filtration rate <30 mL/min) related to type 2 diabetes in a tertiary hospital from Gran Canaria (Spain) during a period of 2 years. Subjects were classified as normoalbuminuric (urinary albumin-to-creatine ratio [UACR] <30 mg/g), microalbuminuric (UACR ≥30 and <300 mg/g), or proteinuric (UACR ≥300 mg/g). Of 78 eligible patients, 21.8% had normoalbuminuria, 20.5% had microalbuminuria, and 57.7% had proteinuria. Individuals with normoalbuminuria were mostly women and had a lower prevalence of smoking and polyneuropathy than subjects with microalbuminuria or proteinuria. They also presented greater measures of body mass index and waist circumference, higher values of total and LDL cholesterol, and lower values of HbA1c and serum creatinine than subjects with microalbuminuria or proteinuria. Multivariate analysis demonstrated that female sex (positively) and HbA1c and polyneuropathy (negatively) were independently associated with absence of albuminuria. In conclusion, around 20% of subjects with diabetes-related advanced chronic kidney disease, characteristically women, have normal urinary albumin excretion. HbA1c and polyneuropathy are inversely related to this non-albuminuric form of nephropathy.

Aims: Vitamin D deficiency is highly prevalent in subjects with advanced chronic kidney disease (CKD), but diabetes, the most common cause of CKD, has also been linked to low levels of serum 25-hydroxyvitamin D [25(OH) D]. We compare vitamin D status between subjects with type 2 diabetes-related advanced CKD and subjects with either advanced CKD without diabetes or type 2 diabetes without advanced CKD. Methods: Subjects were patients with advanced CKD (estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73 m(2)) from February 2011 to November 2013 (113 with diabetes-related CKD and 80 without diabetes) and 61 patients with long-lasting type 2 diabetes without advanced CKD, simultaneously enrolled from our center. Participants fulfilled a survey questionnaire and underwent physical examination, blood samples, and 24-h urine collection. Kidney disease was assessed using eGFR and 24-h urinary protein excretion. Serum 25(OH) D was measured by chemiluminescence immunoassay. Results: The prevalence of vitamin D deficiency (25(OH) D < 20 ng/mL) was 70.8% in subjects with diabetes-related CKD, 38.8% in subjects with non-diabetic CKD and 41% in subjects with diabetes without advanced CKD. Adjusted means (95% confidence interval (CI)) of 25(OH) D in participants with diabetes-related CKD, in nondiabetic participants with CKD, and in participants with diabetes without advanced CKD were, respectively, 17.5 (14.2 - 20.7), 23.6 (19.4 - 27.8), and 23.5 (16.8 - 30.3) ng/mL (p = 0.023). Conclusions: Low vitamin D status is characteristically associated with advanced diabetic nephropathy. This relationship is not entirely attributable to the individual effects of CKD or long-lasting diabetes.

Candida is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of Candida species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting.

Background/Aims: Different biochemical abnormalities of metabolic bone disease have been associated with anemia of chronic kidney disease (CKD), mainly in hemodialysis patients. However, all of these abnormalities are closely inter-related and their individual effect on the development of anemia is uncertain. This study was aimed to assess the relationship between anemia and a set of metabolic bone disease biomarkers in a cohort of adult patients with advanced non-dialysis-dependent CKD. Methods: The sample consisted of 382 patients submitted to a Nephrology Unit for evaluation of advanced CKD in a tertiary hospital from Gran Canaria during 3 years. Associations between anemia and serum levels of calcium (albumin-corrected), phosphorus, PTH, 25-hydroxivitamin D (25(OH)D₃) and alkaline phosphatase were analyzed by using logistic regression models with adjustment for other demographic, clinical and biochemical covariates potentially related to anemia and to bone mineral metabolism. Results: Serum levels of calcium and 25(OH)D₃ (negatively) and phosphorus (positively) were significantly associated with anemia in an unadjusted logistic regression model. In a fully adjusted multivariable model, the OR for anemia was 0.29 (95% CI 0.16-0.49; p < 0.0001) for every 1 mg/dl increase in serum calcium and 2.19 (95% CI 1.55-3.15; p < 0.001) for every 1 mg/dl increase in serum phosphorus. Female sex and lower serum albumin levels were also independently associated with anemia. The inclusion of albumin in the adjusted model displaced the significance of 25(OH)D₃. Conclusions: Circulating levels of calcium and phosphorus are strongly linked to anemia in patients with advanced non-dialysis CKD.

Background The relationship between the metabolic syndrome and mild chronic kidney disease (CKD) has been extensively studied. This study was aimed to estimate the prevalence and factors associated with the metabolic syndrome among subjects with advanced stages of nondiabetes-related CKD. Methods Study population was composed of incident patients with advanced CKD not related to diabetes in a tertiary hospital from Gran Canaria (Spain) since February 2011 to December 2014. Participants fulfilled a survey questionnaire and underwent physical examination and biochemical evaluation. Results The sample was composed of 167 subjects (mean age 63.9 ± 13.7 years; estimated glomerular filtration rate 21.9 ± 6.6 mL/min/1.73 m²). The prevalence of the metabolic syndrome was 68.9% (65.2% in men and 73.3% in women). Highest rates were observed in groups with chronic interstitial nephropathy (80%), CKD of uncertain etiology (76.7%) and CKD related to vascular causes (76.2%). Subjects with metabolic syndrome were older, had higher values of C-reactive protein and more often reported to have first-degree relatives with diabetes and to be physically inactive. In multivariate analyses, age (OR: 1.034 [CI 95%: 1.004–1.065]; p = 0.024) and family history of diabetes (OR: 2.550 [1.159–5.608]; p = 0.020) were independently associated with the metabolic syndrome. Conclusions The prevalence of the metabolic syndrome among subjects with advanced nondiabetes-related CKD is high, and greater than that observed in general Canarian population of similar age groups. Age and family history of diabetes are the two factors more strongly associated with the metabolic syndrome in this population.