Genome-wide association study identifies genetic regulation of oestrone concentrations and association with endometrial cancer risk in postmenopausal women.

BACKGROUND: Oestrone, predominantly made in fat, is the main circulating oestrogen and important for target tissue oestradiol production in women after menopause. The present study was undertaken to determine the genetic regulation of blood oestrone, measured with precision, in postmenopausal women and to explore associations between the identified genetic loci and endometrial cancer in a large, independent cohort. METHODS: A genome-wide association study (GWAS) was undertaken in women aged at least 70 years to identify genetic associations with blood oestrone concentrations measured by liquid chromatography and tandem mass spectrometry. The GWAS included participants from the Sex Hormones in Older Women (SHOW) study, a sub-study of the longitudinal ASPREE (ASPirin in Reducing Events in the Elderly) randomised trial. Of the 6358 women providing a biobank sample at enrolment, 4951 unrelated women of European ancestry, not taking sex hormones, anti-oestrogens, anti-androgens or systemic glucocorticoids were included in the GWAS. Single nucleotide polymorphisms (SNPs) from loci identified below the genome-wide significance threshold were then tested in an independent cohort (the UK Biobank) for association with endometrial cancer risk, using logistic regression and adjusting for age, body mass index (BMI) and the top 10 genetic principal components. FINDINGS: The median age of the 4951 women included in the GWAS was 75.9 years (range 70-94.8 years). The GWAS identified four independent SNPs associated with oestrone concentrations (p < 5 × 10-8). Among them, the effect (minor) alleles rs34670419-T, rs2846729-T and rs2414098-T were associated with lower oestrone concentrations. Carrying these effect alleles was associated with lower oestrone concentrations in a dose-dependent manner. The effect allele rs56400819-A was associated with higher oestrone concentrations. When applied to UK Biobank, carrier status for rs2414098-T associated with the CYP19A1 gene which encodes the aromatase enzyme required for oestrogen synthesis was significantly associated with lower endometrial cancer risk (adjusted odd ratio [aOR] 0.87 [95% CI 0.82-0.93]; p = 6.69 × 10-5 for women across all ages and aOR 0.89 [95% CI 0.83-0.96]; p = 0.003 for postmenopausal women). None of the models that included age, body mass index (BMI), the top 10 genetic principal components, parity and diabetes mellitus explained more than 7.6% of the variation in risk. INTERPRETATION: We have shown genetic regulation of oestrone concentrations in postmenopausal women, and that SNPs associated with oestrone were also associated with endometrial cancer risk, independent of BMI, parity and diabetes mellitus. Although the apparent contribution was modest, the biological influence of oestrone concentrations may be greater through conversion to oestradiol in endometrial tissue. FUNDING: The ASPREE trial was supported by the National Institute on Aging and the National Cancer Institute at the National Institutes of Health (Grant U01AG029824); the National Health and Medical Research Council (NHMRC) of Australia (Grant 34047, 1127060); Monash University (Australia); and the Victorian Cancer Agency (Australia). The ASPREE Healthy Ageing Biobank was funded by the CSIRO (Flagship Grant), the National Cancer Institute (Grant U01 AG029824) and Monash University. This analysis of sex hormones was funded by an NHMRC of Australia Project Grant (No. 1105305). SRD holds an NHMRC Investigator Grant (2016627). PL is supported by a National Heart Foundation Future Leader Fellowship (102604).

A systematic review and critical appraisal of menopause guidelines.

OBJECTIVE AND RATIONALE: To identify and appraise current national and international clinical menopause guidance documents, and to extract and compare the recommendations of the most robust examples. DESIGN: Systematic review. DATA SOURCES: Ovid MEDLINE, EMBASE, PsycINFO and Web of Science ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Practice guidance documents for menopause published from 2015 until 20 July 2023. Quality was assessed by the Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument. RESULTS: Twenty-six guidance papers were identified. Of these, five clinical practice guidelines (CPGs) and one non-hormonal therapy position statement met AGREE II criteria of being at least of moderate quality. The five CPGs listed symptoms associated with the perimenopause and menopause to be vasomotor symptoms (VMS), disturbed sleep, musculoskeletal pain, decreased sexual function or desire, and mood disturbance (low mood, mood changes or depressive symptoms). Acknowledged potential long-term menopause consequences were urogenital atrophy, and increased risks of cardiovascular disease and osteoporosis. VMS and menopause-associated mood disturbance were the only consistent indications for systemic menopausal hormone therapy (MHT). Some CPGs supported MHT to prevent or treat osteoporosis, but specific guidance was lacking. None recommended MHT for cognitive symptoms or prevention of other chronic disease. Perimenopause-specific recommendations were scant. A neurokinin 3B antagonist, selective serotonin/norepinephrine (noradrenaline) reuptake inhibitors and gabapentin were recommended non-hormonal medications for VMS, and cognitive behavioural therapy and hypnosis were consistently considered as being of potential benefit. DISCUSSION: The highest quality CPGs consistently recommended MHT for VMS and menopause-associated mood disturbance, whereas clinical depression or cognitive symptoms, and cardiometabolic disease and dementia prevention were not treatment indications. Further research is needed to inform clinical recommendations for symptomatic perimenopausal women.

Performance Evaluation of the Commonly-Used Portable Cholesterol Sensors for Telehealth Services in the Unreached Communities.

Portable medical sensors play an important role in healthcare services, especially in rural communities. Many telehealth systems use these devices for providing patients' vital information from a distance to remote doctors. Erroneous data will not only mislead the remote doctor for correct diagnosis but it will cause health threats to these unreached community people. Therefore, it is very important to identify good sensors with an acceptable level of accuracy but within the affordable price of the available sensors in the market. This study aims to identify quality portable cholesterol sensors with high accuracy with the reference of the Japanese clinical pathology laboratory as a gold standard. We have considered cholesterol sensors that measure total cholesterol for this study that are commonly used in the developing countries of Asia. We found that out of four, three of them were very much erroneous and cannot be recommended even for primary healthcare.

Associations Between Blood Concentrations of Sex Hormones and Physical Function in Community-Dwelling Older Women: A Prospective Cohort Study.

BACKGROUND: Blood concentrations of testosterone and estrone tend to increase in women aged ≥70 years, whereas concentrations of their precursor hormone dehydroepiandrosterone decline. It is unknown whether these changes influence physical function. We investigated whether concentrations of these hormones were associated with grip strength and self-reported physical function in community-dwelling older women. METHODS: A total of 9 179 Australian women, aged ≥70 years, were recruited to the ASPirin in Reducing Events in the Elderly (ASPREE) trial. Sex hormones were measured in Sex Hormones in Older Women, an ASPREE substudy, by liquid chromatography-tandem mass spectrometry in 6 358 women. The associations between hormone concentrations and physical function (handgrip strength and self-reported physical function assessed by SF-12v2 physical component summary [PCS]) were examined using multiple linear regression. RESULTS: The median age of the 5,447 participants was 74.0 (interquartile range 71.7-77.6) years. Testosterone concentrations above the lowest quartile were associated with less decline in grip strength (mean -1.39 [95% CI -1.54 to -1.24] vs -1.75 [-2.00 to -1.50] kg, p = .02), and dehydroepiandrosterone concentrations above the lowest quartile were associated with less decline in grip strength (-1.39 [-1.54 to -1.25] vs -1.82 [-2.11 to -1.55] kg, p = .007) and PCS scores (-1.49 [-1.80 to -1.17] vs -2.33 [-2.93 to -1.72], p = .02) over 4 years, compared with those in the respective lowest quartile. CONCLUSIONS: Low endogenous concentrations of testosterone and dehydroepiandrosterone were associated the greatest likelihood of physical function decline in community-based women aged ≥70 years. Further studies are warranted to determine whether testosterone and dehydroepiandrosterone therapy prevent functional decline in this at-risk group using sensitive measures of muscle strength and performance.

Network pharmacology and bioinformatics based investigation of Phyllanthus fraternus: herb-drug interaction study.

Phyllanthus fraternus (PF), a plant from the Euphorbiaceae family, is used extensively in ayurvedic formulations for its significant medicinal properties. When PF is administered alongside conventional drugs, there could be potential herb-drug interactions between the active compounds and the genes involved in drug transport and metabolism. Hence, this study was designed to investigate potential herb-drug interactions, focusing on elucidating their functional and pharmacological mechanisms, using an integrated approach of metabolite profiling and network pharmacology. We utilized LC-MS to generate metabolite profiling of PF and network pharmacology for predicting key targets and pathways. This comprehensive analysis involved the construction of networks illustrating the relationships among compounds, targets, and pathways and the exploration of protein-protein interactions and protein-ligand interactions. In this study, a total of 79 compounds were identified in LC-MS, such as alkaloids, steroids, saponins, flavonoids, lignans, phenolic acids, tannins, terpenoids, and fatty acids. The identified compound's physicochemical properties were predicted using SwissADME. Network analysis predicted 1076 PF-related genes and 1497 genes associated with drug transport and metabolism, identifying 417 overlapping genes, including 51 related to drug transport and metabolism. Based on the degree of interaction the hub targets like ABCB1, CYP1A1, CYP1A2, CYP2C9, and CYP3A4 were identified. In the compound-target-pathway network, 2,4-bis(1,1-dimethyl ethyl)-phenol; 5-Methoxy-N-[(5-Methylpyridin-2-yl) sulfonyl]-1h-Indole-2-Carboxamide; and E,E,Z-1,3,12-Nonadecatriene-5,14-diol possessed more interactions with the targets. This study helps identify bioactive compounds, essential targets, and pathways potentially implicated in these interactions, laying the foundation for future studies (in vitro and in vivo) to verify their potential to explore their clinical implications.Communicated by Ramaswamy H. Sarma.

Effect of dehydroepiandrosterone therapy on cognitive performance among postmenopausal women: a systematic review of randomized clinical trial data.

IMPORTANCE: Whether dehydroepiandrosterone (DHEA) supplementation improves cognitive performance in older women is uncertain. Nonetheless, DHEA supplements are readily available over the counter in several countries and are potentially being used to prevent cognitive decline and dementia. OBJECTIVE: This systematic review was conducted to evaluate the effect of exogenous DHEA on cognitive performance in postmenopausal women. EVIDENCE REVIEW: Ovid MEDLINE, EMBASE, PsycINFO, Web of Science Core Collection, and the Cochrane Central Register of Controlled Trials databases were searched for studies of postmenopausal women until November 30, 2022. Eligible studies were required to be randomized clinical trials, be at least single blind, have a placebo or comparator arm and published in English. Risk of bias of the included studies was assessed by the revised Cochrane risk-of-bias tool. FINDINGS: Of the 15 articles retrieved for full-text review, four met the inclusion criteria. In all studies DHEA was administered as a 50-mg oral daily dose and all were double blind with an identical placebo. Three were placebo-controlled, crossover studies and one was a parallel-group clinical trial. The only positive outcome was limited to a 4-wk cross-over study in which DHEA statistically significantly enhanced five of six tests of visual-spatial performance compared with placebo in 24 cognitively normal postmenopausal women. Improvement in cognitive performance with DHEA treatment over placebo group was not seen in any other study. Heterogeneity of design and use of multiple measures of cognitive performance was a barrier to meta-analysis and between study comparisons. The studies were limited by high risk of bias in multiple domains. CONCLUSION AND RELEVANCE: Overall, this systematic review does not support a beneficial effect of DHEA therapy on cognitive performance in postmenopausal women.

Associations between low sex hormone concentrations and depression in older women: An observational study.

OBJECTIVE: We investigated whether low sex hormone concentrations are associated with depression in older women. STUDY DESIGN: This was a cross-sectional study of Australian women, aged at least 70 years, not taking medications modulating sex hormone levels. Associations between hormones, measured by liquid chromatography-tandem mass spectrometry, and depression were examined by logistic regression adjusted for potential confounders. MAIN OUTCOME MEASURES: The primary outcome was a Center for Epidemiologic Studies Depression score >10, designated as 'depression', with an expanded definition that included anti-depressant use as a secondary outcome. RESULTS: For the 5535 participants in the analysis, median age 74.0 years (interquartile range 71.7-77.7), depression prevalence was 5.8 % (95 % CI 5.2-6.4 %). In the adjusted models, a statistically significantly greater likelihood of depression was seen for women with testosterone and oestrone blood concentrations in quartile 1 compared with quartiles 2-4 (odds ratio 1.33, 95 % CI 1.04 to 1.70, p = 0.022; and 1.37, 95 % CI 1.06 to 1.78, p = 0.017, respectively). For the expanded definition, the odds ratios for the lowest testosterone and oestrone quartile compared with other quartiles were 1.47 (95 % CI 1.24 to 1.75, p < 0.001) and 1.31 (95 % CI 1.09 to 1.58, p < 0.001), respectively. A significant association for low DHEA was seen only for the expanded definition of depression (1.36, 95 % CI 1.13 to 1.64, p = 0.001). Receiver operating characteristic curves showed that the contribution of each sex hormone to the likelihood of depression was small. CONCLUSIONS: Amongst older women not taking medications that influence sex hormone concentrations, low testosterone and oestrone levels are associated with a greater likelihood of depression, but the effects are small. TRIAL REGISTRATION: International Standard Randomized Controlled Trial Number Register (ISRCTN83772183) and clinicaltrials.gov (NCT01038583).

A simple, inexpensive and portable on-farm test for pregnancy diagnosis and ovary status in cows via chemical analysis of urine.

Ovary dysfunction causes an aberrant endocrine surge at various reproductive cycle stages, negatively impacting fertility and economic profit. Optimizing dairy cow performance requires determining ovarian status and detecting early pregnancy. Still, little to no information is available about the diagnosis of the ovarian condition using urine chemical analysis at the field level in Bangladesh. This study aimed to develop a simple, inexpensive and portable on-farm technique for pregnancy diagnosis and ovary status determination in cows via chemical urine analysis. Fifty reproductively healthy cows were recruited from different donor farms. Prior to artificial insemination (AI), all selected cows were placed in a single ovsynch program. TAI (timed artificial insemination) was carried out. Urine was routinely collected from Day 0-55 days at estrus cycle stages for routine chemical analysis using barium chloride (BaCl2), followed by commercially available protein strip tests. The developed techniques for pregnancy and ovary status diagnosis in cows were validated with rectal palpation (RP). Barium chloride (BaCl2) analysis of urine revealed white precipitation corresponding to a mature follicle in the ovary during estrus and colorless precipitation corresponding to the corpus luteum during the diestrus period. Positive pregnancy was indicated by the presence of a colorless precipitate in the BaCl2 test, and a protein value of less than 100 mg/dl was found in the protein strip test. The maximum accuracy (42/50, 84%) was observed between 25 and 35 days, as confirmed by RP. Perplexing results were seen 45-55 days after AI, between pregnancies and luteal cystic disease. In both cases, we discovered that the BaCl2 precipitation was colorless. However, the protein value in the context of luteal cystic disease was found to be higher than 100 mg/dl. The barium chloride test, followed by protein strip tests, is a simple and portable way to diagnose pregnancy and determine ovarian status in cows at the field level.

Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms.

Diabetes is one of the most serious chronic diseases that result in high blood sugar levels. Early prediction can significantly diminish the potential jeopardy and severity of diabetes. In this study, different machine learning (ML) algorithms were applied to predict whether an unknown sample had diabetes or not. However, the main significance of this research was to provide a clinical decision support system (CDSS) by predicting type 2 diabetes using different ML algorithms. For the research purpose, the publicly available Pima Indian Diabetes (PID) dataset was used. Data preprocessing, K-fold cross-validation, hyperparameter tuning, and various ML classifiers such as K-nearest neighbor (KNN), decision tree (DT), random forest (RF), Naïve Bayes (NB), support vector machine (SVM), and histogram-based gradient boosting (HBGB) were used. Several scaling methods were also used to improve the accuracy of the result. For further research, a rule-based approach was used to escalate the effectiveness of the system. After that, the accuracy of DT and HBGB was above 90%. Based on this result, the CDSS was implemented where users can give the required input parameters through a web-based user interface to get decision support with some analytical results for the individual patient. The CDSS, which was implemented, will be beneficial for physicians and patients to make decisions about diabetes diagnosis and offer real-time analysis-based suggestions to improve medical quality. For future work, if daily data of a diabetic patient can be put together, then a better clinical support system can be implemented for daily decision support for patients worldwide.

The impact of endometriosis on work ability in young Australian women.

BACKGROUND: Whereas symptomatic endometriosis may affect work performance, the impact of endometriosis in the general community is not known. AIMS: The associations between endometriosis and each of sick leave and work ability, were investigated in a large sample of non-healthcare seeking women. MATERIALS AND METHODS: This community-based, cross-sectional study recruited 6986 women, aged 18-39 years, from three eastern states of Australia between 11 November 2016 and 21 July 2017. Women were identified as having endometriosis if they had undergone a pelvic ultrasound and reported a diagnosis of endometriosis. Working women completed the Work Ability Index. RESULTS: Participants were predominantly of European ancestry (73.1%) and 46.8% were overweight or had obesity. The prevalence of endometriosis was 5.4% (95%CI 4.9-6.0%) with the highest prevalence of 7.7% (95%CI 6.5 to 9.1%) for women aged 35-39 years. Among the 4618 working women, those with endometriosis had significantly more sick days from work (33.6% reported ≥10 days vs 13.5%, overall χ2 P < 0.001). Endometriosis was associated with a greater likelihood of poor to moderate work ability, after adjusting for age, body mass index, ethnicity, relationship status, student status, insecure housing, being a carer for another person, parity, ever use of assisted reproductive technologies, and depressed mood (odds ratio 1.90, 95%CI 1.40-2.58, P < 0.001). CONCLUSIONS: This study provides new evidence that the negative impact of endometriosis on work attendance and work ability is not limited to women with prevalent symptoms and severe disease, but appears to encompass women across a broader spectrum of this condition in the community.

Escherichia coli-induced inflammatory responses are temperature-dependent in human whole blood ex vivo.

Systemic inflammatory conditions are often associated with hypothermia or hyperthermia. Therapeutic hypothermia is used in post-cardiac arrest and some other acute diseases. There is a need for more knowledge concerning the effect of various temperatures on the acute inflammatory response. The complement system plays a crucial role in initiating the inflammatory response. We hypothesized that temperatures above and below the physiologic 37 °C affect complement activation and cytokine production ex vivo. Lepirudin-anticoagulated human whole blood from 10 healthy donors was incubated in the presence or absence of Escherichia coli at different temperatures (4 °C, 12 °C, 20 °C, 33 °C, 37 °C, 39 °C, and 41 °C). Complement activation was assessed by the terminal C5b-9 complement complex (TCC) and the alternative convertase C3bBbP using ELISA. Cytokines were measured using a 27-plex assay. Granulocyte and monocyte activation was evaluated by CD11b surface expression using flow cytometry. A consistent increase in complement activation was observed with rising temperature, reaching a maximum at 41 °C, both in the absence (C3bBbP p < 0.05) and presence (C3bBbP p < 0.05 and TCC p < 0.05) of E. coli. Temperature alone did not affect cytokine production, whereas incubation with E. coli significantly increased cytokine levels of IL-1ß, IL-2, IL-6, IL-8, IFN-γ, and TNF at temperatures > 20 °C. Maximum increase occurred at 39 °C. However, a consistent decrease was observed at 41 °C, significant for IL-1ß (p = 0.003). Granulocyte CD11b displayed the same temperature-dependent pattern as cytokines, with a corresponding increase in endothelial cell apoptosis and necrosis. Thus, blood temperature differentially determines the degree of complement activation and cytokine release.

A systematic review of dengue outbreak prediction models: Current scenario and future directions.

Dengue is among the fastest-spreading vector-borne infectious disease, with outbreaks often overwhelm the health system and result in huge morbidity and mortality in its endemic populations in the absence of an efficient warning system. A large number of prediction models are currently in use globally. As such, this study aimed to systematically review the published literature that used quantitative models to predict dengue outbreaks and provide insights about the current practices. A systematic search was undertaken, using the Ovid MEDLINE, EMBASE, Scopus and Web of Science databases for published citations, without time or geographical restrictions. Study selection, data extraction and management process were devised in accordance with the 'Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies' ('CHARMS') framework. A total of 99 models were included in the review from 64 studies. Most models sourced climate (94.7%) and climate change (77.8%) data from agency reports and only 59.6% of the models adjusted for reporting time lag. All included models used climate predictors; 70.7% of them were built with only climate factors. Climate factors were used in combination with climate change factors (13.4%), both climate change and demographic factors (3.1%), vector factors (6.3%), and demographic factors (5.2%). Machine learning techniques were used for 39.4% of the models. Of these, random forest (15.4%), neural networks (23.1%) and ensemble models (10.3%) were notable. Among the statistical (60.6%) models, linear regression (18.3%), Poisson regression (18.3%), generalized additive models (16.7%) and time series/autoregressive models (26.7%) were notable. Around 20.2% of the models reported no validation at all and only 5.2% reported external validation. The reporting of methodology and model performance measures were inadequate in many of the existing prediction models. This review collates plausible predictors and methodological approaches, which will contribute to robust modelling in diverse settings and populations.

The association between sex hormones and the change in brain-predicted age difference in older women.

OBJECTIVE: The role of circulating sex hormones on structural brain ageing is yet to be established. This study explored whether concentrations of circulating sex hormones in older women are associated with the baseline and longitudinal changes in structural brain ageing, defined by the brain-predicted age difference (brain-PAD). DESIGN: Prospective cohort study using data from NEURO and Sex Hormones in Older Women; substudies of the ASPirin in Reducing Events in the Elderly clinical trial. PATIENTS: Community-dwelling older women (aged 70+ years). MEASUREMENTS: Oestrone, testosterone, dehydroepiandrosterone (DHEA), and sex-hormone binding globulin (SHBG) were quantified from plasma samples collected at baseline. T1-weighted magnetic resonance imaging was performed at baseline, 1 and 3 years. Brain age was derived from whole brain volume using a validated algorithm. RESULTS: The sample comprised of 207 women not taking medications known to influence sex hormone concentrations. A statistically higher baseline brain-PAD (older brain age relative to chronological age) was seen for women in the highest DHEA tertile compared with the lowest in the unadjusted analysis (p = .04). This was not significant when adjusted for chronological age, and potential confounding health and behavioural factors. Oestrone, testosterone and SHBG were not associated with brain-PAD cross-sectionally, nor were any of the examined sex hormones or SHBG associated with brain-PAD longitudinally. CONCLUSION: No strong evidence of an association between circulating sex hormones and brain-PAD. Given there is prior evidence to suggests sex hormones may be important for brain ageing, further studies of circulating sex hormones and brain health in postmenopausal women are warranted.

Endogenous dehydroepiandrosterone and depression in postmenopausal women: a systematic review of observational studies.

IMPORTANCE: The associations between endogenous dehydroepiandrosterone (DHEA) and DHEA sulfate (DHEAS), and depression in older women are uncertain. However, DHEA supplements are widely available over the counter in some countries, and some people may be taking DHEA with the hope of positive mood effects. OBJECTIVE: This systematic review aimed to investigate the association between endogenous DHEA/DHEAS blood concentrations and depression/depressive symptoms in community-dwelling postmenopausal women.Evidence Review: Searches were conducted in Ovid MEDLINE, EMBASE, PsycINFO, and Web of Science databases for observational studies with at least 100 community-dwelling participants until March 9, 2022. The bibliographies of retrieved articles were manually searched. The studies published in English and meeting the inclusion criteria were included in the review. The risk of bias was assessed with the modified Hoy tool for cross-sectional designs and the Joanna Briggs Institute modified critical appraisal checklist for cohort studies. FINDINGS: Of the 30 articles retrieved for full-text review, 14 met the criteria for inclusion. Seven studies were cross-sectional, six were longitudinal, and one had both cross-sectional and longitudinal data. Five of eight cross-sectional studies found no association between DHEAS and depression, whereas three studies reported an inverse association. Similarly, most of the studies (n = 4) with longitudinal data reported no association, whereas two studies reported either an inverse association or mixed results for DHEAS and depression severity. No association between DHEA and depression was found irrespective of the study design. Heterogeneity of design was a barrier to meta-analysis and between study comparison. The majority of studies were limited by high risk of bias in at least one assessed domain. CONCLUSION AND RELEVANCE: This systematic review does not support an association between endogenous DHEA/DHEAS and depression in postmenopausal women.

Endogenous testosterone concentrations and muscle mass, strength and performance in women, a systematic review of observational studies.

OBJECTIVE: To explore the associations between endogenous testosterone blood concentrations and muscle mass, strength and performance in community dwelling women. DESIGN, PATIENTS AND MEASUREMENTS: Online databases, including Ovid MEDLINE, EMBASE and Web of Science, were searched for observational studies, with at least 100 female participants, reporting associations between endogenous testosterone blood concentrations and muscle mass, strength and performance. The findings were synthesized in a narrative review. Heterogeneity in study design and analysis precluded a meta-analysis. RESULTS: Of the 36 articles retrieved for full-text review, 10 met the inclusion criteria. Eight studies were cross-sectional, 1 longitudinal and 1 provided both cross-sectional and longitudinal data. Testosterone was measured by liquid chromatography-tandem mass spectrometry in two studies and by immunoassay in 8. An association between total testosterone and muscle mass, strength or performance in women was not found. The studies of calculated free or bioavailable testosterone and lean muscle mass reported a positive association, but no association was reported for muscle strength or performance. Each included study was limited by a high risk of bias in at least one assessed domain. CONCLUSIONS: This review does not support an association between testosterone and muscle mass, strength or performance in women. This, together with the reported associations between free or bioavailable testosterone and muscle mass should be interpreted cautiously due to the predominant use of immunoassay and the inaccuracy of calculated variables. Additionally, biological significance of nonprotein bound testosterone has not been established. Further studies examining the relationship between precisely measured testosterone and muscle mass and function in women are required.

The association between testosterone and depression in postmenopausal women: A systematic review of observational studies.

OBJECTIVE: The contribution of testosterone to depression in older women is uncertain. This review was conducted to investigate the association between endogenous testosterone blood concentrations and depression in postmenopausal women. METHODS: We searched Ovid MEDLINE, EMBASE, PsycINFO, and Web of Science databases for observational studies with at least 100 community-dwelling participants. The results were categorised by study design, and the reporting of total, bioavailable and free testosterone findings is narrative. RESULTS: The search strategy retrieved 28 articles for full-text review, of which eight met the criteria for inclusion; these described 6 cross-sectional and 2 longitudinal studies. Testosterone was measured by immunoassay in all of the included studies. No association was seen between total testosterone or free testosterone and depression in either the cross-sectional or the longitudinal studies. A significant association between bioavailable testosterone and incident depressive symptoms was limited to women at least 21 years postmenopause in one study. Most of the cross-sectional studies were not representative of national populations and lacked random selection. CONCLUSIONS: This systematic review does not support an association between testosterone and depression in postmenopausal women. However, as the included studies had substantial methodological limitations, studies of community-based samples, employing validated instruments for depression and precise measurement of blood testosterone, are needed to address this knowledge gap.

Pattern of contraceptive use among reproductive-aged women with diabetes and/or hypertension: findings from Bangladesh Demographic and Health Survey.

BACKGROUND: The prevalence of chronic conditions such as diabetes and hypertension is increasing among reproductive-aged women in Bangladesh. However, the pattern of contraceptive use among this population remains unknown. We, therefore, explored the pattern of contraceptive use among reproductive-aged women with diabetes and/or hypertension in Bangladesh. METHODS: We extracted and analysed data of 3,947 women from the 2017/18 Bangladesh Demographic and Health Survey. Women's pattern of contraceptive use was our outcome variable. We first classified the contraceptive using status as no method use, traditional method use (periodic abstinence, withdrawal, other traditional) and modern method use (pill, intra-uterine device, injections, male condom, female sterilization, male sterilization). We later classified these as (i) no contraceptive use vs any contraceptive use, (ii) traditional method or no use vs modern method use, (iii) traditional method vs modern method use. The explanatory variables were diagnosis of diabetes only, hypertension only or both diabetes and hypertension. The multilevel Poisson regression with robust variance was used to explore the associations. RESULTS: The overall prevalence of contraceptive use was 68.0% (95% CI 66.3-69.7). The corresponding prevalences were 69.4% (95% CI 61.8-76.1) in women with diabetes only, 67.3% (95% CI 63.5-70.9) with hypertension only, and 62.0% (95% CI 52.8-70.4) in women having both diabetes and hypertension. The prevalence of modern methods of contraceptive use was lower (46.4%, 95% CI 37.4-55.6) and traditional methods use was higher (16.6%, 95% CI 13.8-16.8) in women who had both diabetes and hypertension than in women who did not have these conditions. The fully adjusted regression model showed that the prevalence of traditional method use was 31% (Prevalence ratio: 1.31, 95% CI 1.02-2.01) higher in women having both diabetes and hypertension compared with their counterparts who had none of these conditions. CONCLUSION: In Bangladesh, women with both diabetes and hypertension were more likely to use traditional contraception methods. These women are likely to experience increased risks of unwanted pregnancies and associated adverse maternal and child health outcomes. Targeted policies and programs should be undertaken to promote modern contraceptive use among women living with both chronic conditions.

Awareness, Treatment, and Control of Diabetes in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey 2017/18.

Background: The prevalence of diabetes is increasing in Bangladesh from ∼5% in 2001 to ∼13% in 2017/18 (∼8.4 million cases). The prevalence of undiagnosed diabetes was also found to be higher at 6% in 2017/18. However, very little is known about the management of diabetes assessed by diabetes awareness, treatment, and control. We aimed to estimate the age-standardised prevalence of awareness, treatment, and control of diabetes and its associated factors. Methods: Cross-sectional data from 1,174 Bangladeshi adults aged 18 years and older available from the most recent nationally representative Bangladesh Demographic and Health Survey (BDHS) 2017-18 were analysed. Outcomes were age-standardised prevalence of awareness, treatment, and control of diabetes, estimated using the direct standardisation. Multilevel mixed-effects Poisson regression models were used to identify factors associated with awareness, treatment, and control of diabetes. Results: Of the respondents we analysed, 30.9% (95% CI, 28.2-33.6) were aware that they had the condition, and 28.2% (95% CI, 25.6-30.7) were receiving treatment. Among those treated for diabetes, 26.5% (95% CI, 19.5-33.5) had controlled diabetes. The prevalence of diabetes awareness, treatment, and control was lower in men than women. Factors positively associated with awareness and treatment were increasing age and hypertension, while factors negatively associated with awareness and treatment were being men and lower education. Factors associated with poor control were secondary education and residing in Rajshahi and Rangpur divisions. Conclusions: This study provides evidence of poor management of diabetes in Bangladesh, especially in men. Less than one-third of the people with diabetes were aware of their condition. Just over one-fourth of the people with diabetes were on treatment, and among those who were treated only one-fourth had controlled diabetes. Interventions targeting younger people, in particular men and those with lower education, are urgently needed. Government policies that address structural factors including the cost of diabetes care and that strengthen diabetes management programmes within primary healthcare in Bangladesh are urgently needed.

LungNet22: A Fine-Tuned Model for Multiclass Classification and Prediction of Lung Disease Using X-ray Images.

In recent years, lung disease has increased manyfold, causing millions of casualties annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis technique has become indispensable. In this study, a multiclass classification of lung disease from frontal chest X-ray imaging using a fine-tuned CNN model is proposed. The classification is conducted on 10 disease classes of the lungs, namely COVID-19, Effusion, Tuberculosis, Pneumonia, Lung Opacity, Mass, Nodule, Pneumothorax, and Pulmonary Fibrosis, along with the Normal class. The dataset is a collective dataset gathered from multiple sources. After pre-processing and balancing the dataset with eight augmentation techniques, a total of 80,000 X-ray images were fed to the model for classification purposes. Initially, eight pre-trained CNN models, AlexNet, GoogLeNet, InceptionV3, MobileNetV2, VGG16, ResNet 50, DenseNet121, and EfficientNetB7, were employed on the dataset. Among these, the VGG16 achieved the highest accuracy at 92.95%. To further improve the classification accuracy, LungNet22 was constructed upon the primary structure of the VGG16 model. An ablation study was used in the work to determine the different hyper-parameters. Using the Adam Optimizer, the proposed model achieved a commendable accuracy of 98.89%. To verify the performance of the model, several performance matrices, including the ROC curve and the AUC values, were computed as well.