Viral infections are causing serious problems in human population worldwide. The recent outbreak of coronavirus disease 2019 caused by SARS-CoV-2 is a perfect example how viral infection could pose a great threat to global public health and economic sectors. Therefore, the first step in combating viral pathogens is to get a timely and accurate diagnosis. Early and accurate detection of the viral presence in patient sample is crucial for appropriate treatment, control, and prevention of epidemics. Here, we summarize some of the molecular and immunological diagnostic approaches available for the detection of viral infections of humans. Molecular diagnostic techniques provide rapid viral detection in patient sample. They are also relatively inexpensive and highly sensitive and specific diagnostic methods. Immunological-based techniques have been extensively utilized for the detection and epidemiological studies of human viral infections. They can detect antiviral antibodies or viral antigens in clinical samples. There are several commercially available molecular and immunological diagnostic kits that facilitate the use of these methods in the majority of clinical laboratories worldwide. In developing countries including Ethiopia where most of viral infections are endemic, exposure to improved or new methods is highly limited as these methods are very costly to use and also require technical skills. Since researchers and clinicians in all corners of the globe are working hard, it is hoped that in the near future, they will develop good quality tests that can be accessible in low-income countries.

Background Alterations in protein glycosylation patterns have potentially been targeted for biomarker discovery in a wide range of diseases including cancer. Although there have been improvements in patient diagnosis and survival for breast cancer (BC), there is no clinically validated serum biomarker for its early diagnosis. Here, we profiled whole serum and purified Immunoglobulin G (IgG) fraction N -glycome towards identification of non-invasive glycan markers of BC. Methods We employed a comprehensive glycomics approach by integrating glycoblotting-based glycan purification with MALDI-TOF/MS based quantitative analysis. Sera of BC patients belonging to stages I-IV and normal controls (NC) were collected from Ethiopian women during 2015–2016. IgG was purified by affinity chromatography using protein G spin plate and further subjected to glycoblotting for glycan release. Mass spectral data were further processed and evaluated rigorously, using various bioinformatics and statistical tools. Results Out of 35 N -glycans that were significantly up-regulated in the sera of all BC patients compared to the NC, 17 complex type N -glycans showed profound expression abundance and diagnostic potential (AUC = 0.8–1) for the early stage (I and II) BC patients. Most of these glycans were core-fucosylated, multiply branched and sialylated structures, whose abundance has been strongly associated with greater invasive and metastatic potential of cancer. N -glycans quantified form IgG confirmed their abundance in BC patients, of which two core-fucosylated and agalactosylated glycans ( m/z 1591, 1794) could specifically distinguish (AUC = 0.944 and 0.921, p ≤ 0.001) stage II patients from NC. Abundance of such structural features in IgG is associated with a decrease in its immunosuppressive potential towards tumor cells, which in part may correlate with the aggressive nature of BC commonly noticed in black population. Conclusions Our comprehensive study has addressed for the first time both whole serum and IgG N -glycosylation signatures of native black women suffering from BC and revealed novel glyco-biomarkers with marked overexpression and distinguishing ability at early stage patients. Further studies on direct identification of the intact glycoproteins using a glycoprteomics approach will provide a deeper understanding of specific biomarkers towards their clinical utility. Graphical abstract Electronic supplementary material The online version of this article (10.1186/s12885-019-5817-8) contains supplementary material, which is available to authorized users.

BackgroundMost glycomics studies have focused on understanding disease mechanisms and proposing serum markers for various diseases, yet the influence of ethnic variation on the identified glyco-biomarker remains poorly addressed. This study aimed to investigate the inter-ethnic serum N-glycan variation among US origin control, Japanese, Indian, and Ethiopian healthy volunteers.MethodsHuman serum from 54 healthy subjects of various ethnicity and 11 Japanese hepatocellular carcinoma (HCC) patients were included in the study. We employed a comprehensive glycoblotting-assisted MALDI-TOF/MS-based quantitative analysis of serum N-glycome and fluorescence HPLC-based quantification of sialic acid species. Data representing serum N-glycan or sialic acid levels were compared among the ethnic groups using SPSS software.ResultsTotal of 51 N-glycans released from whole serum glycoproteins could be reproducibly quantified within which 33 glycoforms were detected in all ethnicities. The remaining N-glycans were detected weakly but exclusively either in the Ethiopians (13 glycans) or in all the other ethnic groups (5 glycans). Highest abundance (p < 0.001) of high mannose, core-fucosylated, hyperbranched/hypersialylated N-glycans was demonstrated in Ethiopians. In contrast, only one glycan (m/z 2118) significantly differed among all ethnicities being highest in Indians and lowest in Ethiopians. Glycan abundance trend in Ethiopians was generally close to that of Japanese HCC patients. Glycotyping analysis further revealed ethnic-based disparities mainly in the branched and sialylated structures. Surprisingly, some of the glycoforms greatly elevated in the Ethiopian subjects have been identified as serum biomarkers of various cancers. Sialic acid level was significantly increased primarily in Ethiopians, compared to the other ethnicities.ConclusionThe study revealed ethnic-specific differences in healthy human serum N-glycome with highest abundance of most glycoforms in the Ethiopian ethnicity. The results strongly emphasized the need to consider ethnicity matching for accurate glyco-biomarker identification. Further large-scale study employing various ethnic compositions is needed to verify the current result.

Coffee is one of the most commonly consumed beverages in the worldwide and is assumed to have protective effects against metabolic syndrome. The present study was aimed at investigating the effect of coffee on body weight, serum glucose, uric acid and lipid profile levels in male albino Wistar rats feeding on high fructose diet. A post-test experimental study was conducted on a total of 30 (9-10 weeks old) male albino Wistar rats. The rats were divided into 6 groups: group I (normal control)-fed on standard chow and plain tap water only; group II (fructose control)-fed on standard chow and 20% of fructose solution; group III-VI (treatment groups)-fed on standard chow, 20% of fructose solution and treated with 71, 142, 213 and 284 mg/kg body weight/day of coffee respectively for six weeks. At the end, body weight, serum glucose, uric acid and lipid profile levels were investigated. Data was entered and cleared by epi-data software version 3.1 and analyzed by one way ANOVA followed by Tukey post hoc multiple comparison tests using SPSS V. 23.00. Statistical significance was considered at p < 0.05. The results showed that body weight, fasting serum glucose and uric acid levels significantly lowered in rats treated with 213 (p = 0.047; 0.049; 0.026) and 284 (p = 0.035; 0.029; 0.010) mg/kg body weight/day of coffee compared to fructose control group. Fasting serum triglycide (TG) and low density lipoprotein (LDL-C) levels showed significant reduction in rats treated with 284 mg/kg body weight/day of coffee as compared to fructose control group (p = 0.031; 0.046) respectively. In conclusion, treating rats with coffee decreased body weight, fasting serum glucose, uric acid, TC, TG and LDL-C, and increased HDL-C in a dose dependent manner in rats feeding on high fructose diet, suggesting that coffee consumption may be helpful in ameliorating metabolic syndrome.

Background: Diabetes mellitus (DM) is an epidemic disease affecting millions worldwide; the majority being type 2 diabetes mellitus (T2DM). Diabetes mellitus has been shown to be an important risk factor for the development of a variety of cardiovascular diseases, which are becoming common in Ethiopia. Consequently, risk-reducing statin therapy is recommended for nearly all patients with T2DM at 40 years of age or older regardless of cholesterol level. However, some controversies exist regarding its safety. Objective: The aim of this study was to assess and compare the levels of lipid profile, liver enzymes, creatine kinase-MB (CK-MB) and lactate dehydrogenase (LDH) among T2DM patients on statin therapy. Methodology: A hospital-based cross-sectional study was conducted on a total of 100 T2DM patients. The study participants were divided into four groups consisting of equal numbers of participants (n = 25). Group I, II, and III were T2DM patients who were on statin therapy for 14 days-6 months, 6-18 months and ˃18 months, respectively. Group IV consisted of T2DM patients who were not on statin therapy. Convenient sampling technique was implemented till the required number had been achieved. Sociodemographic data was collected by using a standardized questionnaire. Fasting blood was collected and lipid profile, liver enzymes, CK-MB, LDH and fasting blood sugar were analyzed. Data was entered using epi-data and analyzed by one way ANOVA followed by Tukey post hoc multiple comparison tests using SPSS V. 20.00. A P-value < 0.05 was considered statistically significant. Results: The mean values of total cholesterol and TAG were significantly lower among group III as compared to group I (P-values = 0.019 & 0.01). Similarly, LDL-c was significantly lower among group III as compared to group I (P = 0.022) and group IV (P = 0.027). Serum liver enzymes, CK-MB and LDH were not significantly different among the study groups (P > 0.05). The mean values of alanine aminotransferase (ALT) and AST were found within normal range while mean ALP was higher in all study groups. Fasting blood glucose value was not significantly different among the study groups, but higher than normal cut-off value in all groups. Conclusion: Statin therapy taken for a longer time has an effect in lowering total cholesterol, LDL-c and TAG in T2DM patients. Statin therapy has not brought significant change on CK-MB, LDH, liver enzymes and other parameters among T2DM patients.