Evaluation of CRP/Albumin Ratio in Polycystic Ovarian Syndrome.

Background: Polycystic ovarian syndrome is a common endocrine disorder among women of reproductive age. It is characterized by menstrual abnormalities, hyperandrogenism and polycystic ovaries and can lead to many complications. Studies have postulated the role of inflammation in the pathophysiology of PCOS. As acute phase reactants often serve as markers of inflammation, this study aimed to evaluate the role of inflammatory markers in women with PCOS and healthy controls. Material and Methods: A total of 60 participants were enrolled; 30 cases of PCOS and 30 age matched healthy controls. Peripheral venous blood was collected for assessment of CRP, serum albumin, serum total testosterone, serum fasting insulin and fasting blood glucose, following which statistical analysis was done. Results: The CRP/albumin ratio was found to be significantly higher in women with PCOS as compared to healthy controls along with serum total testosterone and HOMA-IR. Correlation between CRP/albumin ratio and the levels of serum total testosterone and insulin resistance was found to be non-significant. Conclusion: An elevated CRP/albumin ratio in cases of PCOS compared to healthy controls supports the hypothesis of inflammation playing a key role in the pathophysiology of PCOS. CRP/albumin ratio can serve as a cheaper biochemical marker of the disease subject to further validation studies to establish its use in Indian population.

Effect of Preoperative Oral Carbohydrate Intake on Perioperative Hyperglycemia in Indian Patients Undergoing Hip Fracture Fixation.

Objective: Preoperative fasting leads to a catabolic state aggravated by surgical stress. This leads to poor patient outcomes. This study aimed to determine the effect of preoperative oral carbohydrate administration on perioperative hyperglycemia and patient comfort. Methods: This prospective, randomized study was conducted on 60 adult American Society of Anesthesiologist I/II patients undergoing hip fracture fixation after obtaining institutional ethical committee clearance. Patients were randomly kept conventionally fasted before surgery (group F, n = 30) or were given oral carbohydrate 2 h before surgery (group C, n = 30). Under all aseptic precautions, a combined spinal epidural block was administered, and surgery was allowed. The primary outcome was blood glucose, and secondary outcomes included incidence of postoperative hyperglycemia, insulin level, blood urea, hunger, thirst, and anxiety. Results: Blood glucose levels were not statistically different between the two groups at baseline (T0; P=0.400), immediately after surgery (T1; P=0.399) and 24h after surgery (T2; P=0.619). The incidence of postoperative hyperglycemia was significantly higher in group F than in group C (P=0.045) at T2. Insulin levels, blood urea levels, and hunger scores were also not statistically different between the groups. The thirst and anxiety scores were lower at T0 and T1 in group C. Conclusion: Preoperative oral carbohydrate administration does not prevent perioperative increases in blood glucose levels. However, it reduces the incidence of perioperative hyperglycemia and decreases perioperative thirst and anxiety, thereby improving the quality of perioperative patient care.

Effect of Antenatal Oral Vitamin D Supplementation on Serum 25(OH)D Concentration in Exclusively Breastfed Infants at 6 Months of age - A Randomized Double-Blind Placebo-Controlled Trial.

OBJECTIVE: To compare the proportion of exclusively breastfed (EBF) infants having severe vitamin D deficiency (25(OH)D concentration <11 ng/mL) at 6 months of age when mothers were supplemented with 300,000 IU Vitamin D3 or placebo during the third trimester of pregnancy. METHODS: In this randomized double-blind placebo-controlled trial, we recruited 100 pregnant women who were willing to exclusively breastfeed their babies for 6 months at 30-32 weeks gestation and the infants born to them. Pregnant women were randomized to receive either oral vitamin D3 60,000 IU or placebo, given weekly for 5 weeks during the third trimester. Serum 25(OH)D, calcium, phosphorus and alkaline phosphatase concentration were measured in all participants at recruitment, in the cord blood at delivery, and in infants at 6 months of age. The proportion of infants developing severe vitamin D deficiency and rickets at 6 months was assessed. RESULTS: A total 72 mother-infant dyads followed till 6 months. At enrolment, the mean (SD) serum 25(OH)D concentration were comparable in mothers in the intervention and control groups (12.90 (5.84) vs 12.84 (5.88), P = 0.96). The mean (SD) 25(OH)D concentration (ng/mL) in the cord blood was significantly higher in the intervention group compared to the control group [42.14 (17.08) vs 12.74 (6.28); P = 0.002]. The mean (SD) serum 25(OH)D levels (ng/mL) in the infants at 6 months' age were higher in the intervention group compared to the control group [31.82 (10.89) vs 12.46 (5.68); P < 0.001]. No infant in the intervention group had severe vitamin D deficiency at 6 months' age compared to 54.3% infants in the control group (P < 0.001). No infant in the intervention group developed rickets. CONCLUSIONS: Oral supplementation of vitamin D3 to pregnant women in the third trimester prevents severe hypovitaminosis D in the EBF infants at 6-months of age.

Equine bone marrow MSC-derived extracellular vesicles mitigate the inflammatory effects of interleukin-1ß on navicular tissues in vitro.

BACKGROUND: Safe, efficacious therapy for treating degenerate deep digital flexor tendon (DDFT) and navicular bone fibrocartilage (NBF) in navicular horses is critically necessary. While archetypal orthobiologic therapies for navicular disease are used empirically, their safety and efficacy are unknown. Mesenchymal stem cell-derived extracellular vesicles (EV) may overcome several limitations of current orthobiologic therapies. OBJECTIVES: To (1) characterise cytokine and growth factor profiles of equine bone marrow mesenchymal stem cell (BM-MSC)-derived extracellular vesicles (BM-EV) and (2) evaluate the in vitro anti-inflammatory and extracellular matrix (ECM) protective potentials of BM-EV on DDFT and NBF explant co-cultures in an IL-1ß inflammatory environment. STUDY DESIGN: In vitro experimental study. METHODS: Cytokines (IL-1ß, IL-6, IL-10, IL-1ra and TNF-α) and growth factors (TGFß1, VEGF, IGF1 and PDGF) in equine BM-EV isolated via ultracentrifugation and precipitation methods were profiled. Forelimb DDFT and NBF explant co-cultures from seven horses were exposed to media alone, or media containing 2 × 109 ± 0.1 × 109 particles/mL or 10 µg/mL BM-EV (BM-EV), 10 ng/mL interleukin-1ß (IL-1ß), or IL-1ß + BM-EV for 48 h. Co-culture media IL-6, TNF-α, MMP-3, MMP-13 concentrations and explant sulphated glycosaminoglycan (sGAG) content were quantified. RESULTS: IL-6, IGF1 and VEGF concentrations were 102.1 (37.61-256.2) and 182.3 (163.1-226.3), 72.3 (8-175.6) and 2.4 (0.1-2.6), 108.3 (38.3-709.1) and 211.4 (189.1-318.2) pg/mL per 2 × 109 ± 0.1 × 109 particles/mL or 10 µg/mL 10 µg of BM-EV isolated via ultracentrifugation and precipitation methods, respectively. Co-culture media MMP-3 in BM-EV- (p = 0.03) and BM-EV + IL-1ß-treated (p = 0.01) groups were significantly lower than the respective media and IL-1ß groups. DDFT explant sGAG content of BM-EV (p = 0.003) and BM-EV + IL-1ß groups were significantly higher compared with IL-1ß group. MAIN LIMITATIONS: Specimen numbers are limited, in vitro model may not replicate clinical case conditions, lack of non-MSC-derived EV control group. CONCLUSIONS: Equine BM-EV contains IL-6 and growth factors, IGF1 and VEGF. The anti-inflammatory and ECM protective potentials of BM-EV were evident as increased IL-6 and decreased MMP-3 concentrations in the DDFT-NBF explant co-culture media. These results support further evaluation of BM-EV as an acellular and 'off-the-shelf' intra-bursal/intrasynovial therapy for navicular pathologies.

A Review of Machine Learning Algorithms for Biomedical Applications.

As the amount and complexity of biomedical data continue to increase, machine learning methods are becoming a popular tool in creating prediction models for the underlying biomedical processes. Although all machine learning methods aim to fit models to data, the methodologies used can vary greatly and may seem daunting at first. A comprehensive review of various machine learning algorithms per biomedical applications is presented. The key concepts of machine learning are supervised and unsupervised learning, feature selection, and evaluation metrics. Technical insights on the major machine learning methods such as decision trees, random forests, support vector machines, and k-nearest neighbors are analyzed. Next, the dimensionality reduction methods like principal component analysis and t-distributed stochastic neighbor embedding methods, and their applications in biomedical data analysis were reviewed. Moreover, in biomedical applications predominantly feedforward neural networks, convolutional neural networks, and recurrent neural networks are utilized. In addition, the identification of emerging directions in machine learning methodology will serve as a useful reference for individuals involved in biomedical research, clinical practice, and related professions who are interested in understanding and applying machine learning algorithms in their research or practice.

Long-Term Persistence of COVID-Induced Hyperglycemia: A Cohort Study.

Although the short-term mortality of patients with COVID-19 infection and hyperglycemia has been well documented, there is little available data regarding longer-term prognosis. The presence of diabetes has not only influenced disease severity but has also impacted its transmission dynamics. In this study, we followed a historical cohort of patients without previous history of diabetes who presented with moderate to severe COVID-19 and were found to have hyperglycemia (random blood glucose > 140 mg/dL) at the time of admission. We evaluated the need for antidiabetic therapy in these patients at the end of 6 months and the risk factors associated with persistent hyperglycemia determined by monthly values of self-monitored blood glucose. Of the seventy participants who were followed telephonically, 54 (77%) continued to receive antidiabetic therapy or have persistent hyperglycemia (> 140 mg/dL) at the end of 6 months. Persistent hyperglycemia at the end of follow-up, was found to be associated with a higher blood glucose at presentation.

GenCoder: A Novel Convolutional Neural Network based Autoencoder for Genomic Sequence Data Compression.

Revolutionary advances in DNA sequencing technologies fundamentally change the nature of genomics. Today's sequencing technologies have opened into an outburst in genomic data volume. These data can be used in various applications where long-term storage and analysis of genomic sequence data are required. Data-specific compression algorithms can effectively manage a large volume of data. Genomic sequence data compression has been investigated as a fundamental research topic for many decades. In recent times, deep learning has achieved great success in many compression tools and is gradually being used in genomic sequence compression. Significantly, autoencoder has been applied in dimensionality reduction, compact representations of data, and generative model learning. It can use convolutional layers to learn essential features from input data, which is better for image and series data. Autoencoder reconstructs the input data with some loss of information. Since accuracy is critical in genomic data, compressed genomic data must be decompressed without any information loss. We introduce a new scheme to address the loss incurred in the decompressed data of the autoencoder. This paper proposes a novel algorithm called GenCoder for reference-free compression of genomic sequences using a convolutional autoencoder and regenerating the genomic sequences from a latent code produced by the autoencoder, and retrieving original data losslessly. Performance evaluation is conducted on various genomes and benchmarked datasets. The experimental results on the tested data demonstrate that the deep learning model used in the proposed compression algorithm generalizes well for genomic sequence data and improves performance over the state-of-the-art approaches.

Insulin Adherence in Adolescents with Type 1 Diabetes Mellitus.

Adherence to medication, especially insulin, is a key contributor to diabetes treatment outcomes. Lack of adherence is common among patients with type 1 diabetes mellitus (T1DM) ranging from 23% to 77%, with a higher frequency in developing countries. Poor adherence results in worse glycaemic control and increased mortality and morbidity due to diabetes complications. The objective of this study is to discuss insulin adherence among adolescents with T1DM. The review was conducted through search engines such as PubMed, Medline, Embase and Google Scholar. Search terms used were 'type 1diabetes mellitus', 'insulin dependent diabetes mellitus', 'Juvenile diabetes mellitus', 'adherence', 'compliance', 'non adherence', 'barriers', 'omission', 'medical adherence', 'adolescents', 'teenagers' and 'insulin'. T1DM is challenging for adolescents due to its lifelong treatment regimens. Educational programmes and specific interventions which can improve affordability, accessibility and administration of insulin should be implemented to improve insulin adherence among adolescents.

Clinico-Mycological Study of Onychomycosis in Indian Diabetic Patients.

Background: Onychomycosis (OM) is the most common nail disorder accounting for 40-50% of all onychopathies. Onychomycosis is caused by dermatophytes in majority, mostly Trichophyton (T.) rubrum followed by T. mentragrophytes var. interdigitale. However, there is a variation in the etiological profile with the subset of population, time, and geographical location. In immunocompromised hosts, non-dermatophytic molds (NDMs) and yeasts like Candida albicans and Candida parapsilosis are the main causative agents. Diabetes mellitus (DM) is a well-established risk factor for OM. Aim and Objectives: This study was conducted to determine the clinical and mycological characteristics of OM in diabetic patients and to evaluate the clinico-etiological correlation, if any. Materials and Methods: Three hundred consecutive diabetic patients were screened, of whom 102 (34%) patients were diagnosed with OM based on clinical, mycological, dermoscopic, and histological criteria. Results: Distal lateral subungual onychomycosis was the most common clinical variant seen in 80 (78.43%) patients. Fungal culture was positive in 57 (55.88%) of which NDMs constituted approximately half (47.61%) of the isolates, followed by Candida species (30.15%) and dermatophytes (22.22%). The clinico-mycological correlation was performed to look for the association of various fungi with the clinical type of OM. Distal lateral subungual onychomycosis was majorly caused by NDMs (51.02%), followed by Candida species (28.57%), and dermatophytes (20.40%). Conclusion: Non-dermatophytic molds are increasingly incriminated as the causative organisms for OM in DM and must be considered as potential pathogens in the present scenario, thus necessitating the change in the treatment options accordingly.

Extraction of Natural Pigment Curcumin from Curcuma Longa: Spectral, DFT, Third-order Nonlinear Optical and Optical Limiting Study.

Herein, we report the extraction of natural pigment curcumin from curcuma longa and their linear and third-order nonlinear optical (NLO) characteristics. The characterization techniques viz., UV-Visible absorption, FT-IR, Micro Raman and Gas Chromatography Mass Spectrum (GC-MS) are used to study the spectral characteristics of curcumin. Third-order NLO features of curcumin are studied using Z‒scan technique with a semiconductor diode laser working at 405 nm wavelength. The natural pigment exhibits negative nonlinear index of refraction resulting from self-defocusing and positive coefficient of absorption is the consequence of reverse saturable absorption (RSA). The order of nonlinear index of refraction (n2) and nonlinear coefficient of absorption (ß) is measured to be 10-7 cm2/W and 10-2 cm/W, respectively. Third-order NLO susceptibility (χ(3)) and second-order hyperpolarizability (γ) of curcumin is measured to be 2.73 × 10‒7 esu and 1.67 × 10‒31 esu, respectively. A low optical limiting (OL) threshold of 0.71 mW is observed in the extracted pigment. The experimental results are supplemented by quantum mechanical calculations of the NLO parameters. The overall result finding is that curcumin extracted from curcuma longa has the potential to be novel optical candidates for photonics and optoelectronics applications.

An Evaluation of the Second Trimester Thyroid Function Test in Gestational Diabetes Mellitus: A Case-Control Study.

INTRODUCTION: Gestational diabetes mellitus (GDM) is defined as glucose intolerance in a female with its onset or first recognition during pregnancy. Females with GDM are at higher risk of developing antenatal complications like preeclampsia during pregnancy and increased risk of type 2 diabetes as well as cardiovascular disorders later in their life. Maternal thyroid changes in the first and second trimesters of pregnancy have been widely related to the risk of GDM. Hypothyroidism during pregnancy is associated with early and late complications like abortions, anaemia, gestational hypertension, placental abruption and postpartum haemorrhage, impaired infant neurodevelopment, and low birth weight. OBJECTIVES: This study aims to compare the thyroid function test (TFT) (serum fT3, fT4, TSH) and thyroid peroxidase antibody (anti TPO) between GDM and non GDM pregnant women in the second trimester and to correlate the adverse pregnancy outcomes with TFT in GDM and non GDM women. METHODS: A nested case-control study was done in the Department of Obstetrics and Gynaecology, Department of Endocrinology, Department of Paediatrics, University College of Medical Sciences, and Guru Teg Bahadur (GTB) Hospital, Delhi. About 350 pregnant women from 13 weeks till 28 weeks period of gestation were screened out of which 40 GDM and 40 non GDM women were selected after performing an oral glucose tolerance test (OGTT). A TFT and anti TPO test were compared between GDM and non GDM participants. Furthermore, various parameters like sociodemographic profile, mode of delivery, pregnancy outcomes, and adverse maternal and adverse neonatal outcomes were compared. CONCLUSION: The mean age of GDM women is found to be more than non GDM women. The mean TFT values are significantly lower in women with GDM as compared to non GDM women. In addition, higher values of anti TPO antibody (thyroid autoantibody) were found in the GDM group which aids in insulin resistance. Maternal complications like polyhydramnios, preterm labour, and pregnancy-induced hypertension were found to be more frequent in the GDM group compared to the non GDM group, but the results were statistically not significant. There was a higher incidence of caesarean delivery in the GDM group. Thus, we recommend the implementation of routine thyroid function profile testing in all antenatal females especially those who are at risk of developing GDM. Our study is one of the few Indian studies to evaluate the association of TFT in GDM, and we recommend similar research with a larger sample size and postnatal follow-up.

Assessing Pulmonary Tuberculosis Using Bandim Tuberculosis and Karnofsky Performance Scale Scores with Serum Adenosine Deaminase Levels.

BACKGROUND: Elevated pulmonary serum adenosine deaminase (ADA) levels signify lung tissue damage and severe tuberculosis (TB). Serum ADA assays can be used as an additional criterion for assessing TB treatment response and as a prognostic marker in patients with pulmonary TB. The Bandim TB and Karnofsky Performance Scale (KPS) scores were developed based on available clinical data and investigations to allow physicians to evaluate disease treatment and response. This study examined the use of a clinical scoring system (Bandim TB and KPS scores) in the context of serum ADA activity. METHODS: Forty adults (aged >18 years) diagnosed with pulmonary TB by Ziehl-Neelsen staining for acid-fast bacilli and/or cartridge-based nucleic acid amplification test were recruited. Standardized questionnaires were used to record Bandim TB and KPS scores. Serum ADA levels were estimated using a commercial kit. RESULTS: The Bandim TB score was positively associated (ρ=0.74, P≤0.001) and the KPS score was negatively associated (ρ=-0.69, P≤0.001) with serum ADA levels. CONCLUSION: Subjective and objective clinical scores of pulmonary TB were strongly correlated with serum ADA levels. Knowledge of clinical scores corresponding to serum ADA levels could help physicians understand stage and progression of the disease which may aid in early detection and better management, and reduce disease transmission in a TB-endemic country.

Can Bone-Specific Alkaline Phosphatase be a Marker of Vascular Calcification in Type 2 Diabetes Mellitus?

Background and Aims: Alkaline phosphatase (ALP) enzyme has been linked to vascular calcification. Unexplained elevations in serum ALP levels have been reported in patients with type 2 diabetes mellitus (T2DM). We assessed bone-specific alkaline phosphatase (BAP) levels in patients with T2DM who had unexplained ALP elevations and studied the association between BAP and other markers of vascular calcification. Methods: Patients with T2DM who had high serum ALP in the absence of known causes of ALP elevation were studied. The control group was T2DM patients with normal ALP. We measured the serum levels of BAP along with the leptin, fetuin-A, and vitamin K2 levels. Ankle-brachial index (ABI) was also measured in both groups. Results: Serum BAP levels were significantly higher in the group with high ALP when compared with the normal ALP group. A significant positive correlation was present between BAP and serum fetuin-A as well as between BAP and Vit K2 levels. There was no correlation between BAP and serum leptin. ABI was comparable between the two groups. Conclusions: Patients with T2DM may have unexplained elevation in ALP due to an increase in BAP. Elevation in BAP may be associated with other markers of vascular calcification suggesting an increased risk of vascular calcification.

Hormonal profile of survivors of breast cancer with fatigue: A pilot study.

Background & objectives: One of the most common problems experienced by breast cancer survivors (BCSs) is fatigue. There has been little research about the status of hormones in breast cancer patients as an aetiology of cancer-related fatigue (CRF). Hence, a pilot study was conducted to assess the levels of hormones such as thyroid, cortisol, dehydroepiandrosterone sulphate (DHEAS), oestrogen and progesterone in BCSs with fatigue. Methods: BCSs with complaints of fatigue were assessed using the Brief Fatigue Inventory (BFI) tool and evaluation of the hormone profiles was done in moderate-to-severe fatigued survivors. Data collected were analyzed to look for any association between fatigue and altered hormonal levels. Results: In this study, 56 per cent (n=62) of survivors experienced moderate-to-severe fatigue out of 110 patients reporting fatigue. Thyroid functions were deranged in 22 patients (35.48%). The thyroid stimulating hormone (TSH) levels were found to have a significant negative association with the severity of fatigue, (P<0.05). Twelve patients (19.35%) had reduced DHEAS levels suggestive of impaired hormone synthesis in the adrenal gland. Twenty two postmenopausal survivors (35.48%) had raised oestradiol levels. Interpretation & conclusions: The findings of this study suggest that the hormonal milieu, especially thyroid hormone and DHEAS may have a role in CRF experienced by BCSs and needs further exploration.

Inequalities of Infant Mortality in Ethiopia.

(1) Background: Infant mortality is viewed as a core health indicator of overall community health. Although globally child survival has improved significantly over the years, Sub-Saharan Africa is still the region with the highest infant mortality in the world. In Ethiopia, infant mortality is still high, albeit substantial progress has been made in the last few decades. However, there is significant inequalities in infant mortalities in Ethiopia. Understanding the main sources of inequalities in infant mortalities would help identify disadvantaged groups, and develop equity-directed policies. Thus, the purpose of the study was to provide a diagnosis of inequalities of infant mortalities in Ethiopia from four dimensions of inequalities (sex, residence type, mother's education, and household wealth). (2) Methods: Data disaggregated by infant mortalities and infant mortality inequality dimensions (sex, residence type, mother's education, and household wealth) from the WHO Health Equity Monitor Database were used. Data were based on Ethiopia's Demographic and Health Surveys (EDHS) of 2000 (n = 14,072), 2005 (n = 14,500), 2011 (n = 17,817), and 2016 (n = 16,650) households. We used the WHO Health Equity Assessment Toolkit (HEAT) software to find estimates of infant mortalities along with inequality measures. (3) Results: Inequalities related to sex, residence type, mother's education, and household wealth still exist; however, differences in infant mortalities arising from residence type, mother's education, and household wealth were narrowing with the exception of sex-related inequality where male infants were markedly at a disadvantage. (4) Conclusions: Although inequalities of infant mortalities related to social groups still exist, there is a substantial sex related infant mortality inequality with disproportional deaths of male infants. Efforts directed at reducing infant mortality in Ethiopia should focus on improving the survival of male infants.

PINK1 and oxidative stress in lean and obese patients with type 2 diabetes mellitus.

AIM: To compare mRNA [messenger RNA] expression of PINK1 in whole blood and the levels of biomarkers of Oxidative Stress (mitochondrial DNA [mtDNA] content & Total Antioxidant status [TAS]) in newly diagnosed lean and obese patients with T2DM. METHODS: Newly diagnosed patients of T2DM were enrolled in this study. The patients were divided into two groups of 30 patients each, lean (BMI < 18.5 kg/m2) and obese (BMI > 25 kg/m2). mRNA expression of PINK1 & mtDNA content was measured by real time PCR. Serum TAS was measured using a commercially available kit. RESULTS: There was a 1.78-fold decrease in mRNA expression of PINK1 in obese group compared to the lean group. Mean mtDNA content was 300.82 ± 169.66 in the obese group and 332.78 ± 147.07 in the lean group (p = 0.06). Mean levels of TAS was 5.39 ± 2.28 µM Trolox Equivalents in the obese group and 3.85 ± 3.33 µM Trolox Equivalents in the lean group (p = 0.001). CONCLUSION: The T2DM patient with obesity had greater OS than the lean patients. Thus, there is a compensatory increase in antioxidants in obese patients with T2DM. Our findings also suggest that decreased levels of PINK1 in obese group are unable to protect the mitochondria against OS leading to decreased mtDNA content. Does it also result in beta cell dysfunction or contribute to insulin resistance in obese patients with T2DM needs to be explored.