Nutritional composition and phenolic contents of Gracilariopsis longissima, Padina tetrastromatica and Ulva intestinalis from the Bay of Bengal, Bangladesh coast.

Seaweeds have become the focus of experts in recent years due to their biological characteristics and the variety of uses they have for both humans and animals. Biochemical composition, amino acids, fatty acids, and phenolic components were analyzed to explore the nutritive value of Gracilariopsis longissima, Padina tetrastromatica, and Ulva intestinalis from the Bay of Bengal, Bangladesh coast. Proximate composition and mineral content were determined according to the AOAC method. The high-performance liquid chromatography amino acid analysis system was used for the amino acid analysis and the fatty acid profile of the extracted oils was assessed as their methyl esters. The Folin-Ciocalteu technique was used to estimate the phenolic content and the aluminum chloride colorimetric technique was used to calculate the total flavonoid content. The three different species of seaweed had significantly different proximate compositions (P < 0.05), with G. longissima having the highest protein content. Except for sulfur, the mineral contents were likewise considerably higher (P < 0.05) in G. longissima. Although the amounts of the essential amino acids were greater than 50 % of the total amino acids in the three studied seaweed species, the total amino acid composition of these three species differed significantly (P < 0.05). The findings indicated that lipid levels were low in all the assessed species, but unsaturated fatty acid levels were high, with G. longissima exhibiting the highest amounts. The results showed that, compared to the other species, G. longissima had a substantially higher (P < 0.05) level of total phenolic and flavonoid content. The three studied seaweed appear to be excellent for nutrition based on their overall nutritional profiles. However, due to high protein, unsaturated fatty acid, essential amino acid, and total phenolic and flavonoid content, G. longissima is the most promising seaweed that will be helpful for pharmaceutical and multifunctional food applications.

Travel datasets for analysing the electric vehicle charging demand in a university campus.

This article presents travel datasets of privately used vehicles for the determination of the daily charging demand of electric vehicles (EV) at a university campus and to analyse strategies to minimise the annual energy cost. The datasets have been used in the primary research article published in the Renewable Energy journal [1]. The original raw data of vehicle usage is sourced from the Victorian Integrated Survey of Travel & Activity (VISTA) [2], which is an ongoing survey led by the Department of Transport and Planning of the Victorian State Government. Since 2012, data collection has been evenly distributed across each year, with 32,000 households and 82,000 individuals participating in the ongoing survey. The raw dataset is filtered and processed to obtain the daily travel distance and workplace arrival-departure times of privately used vehicles. Probability distributions and cumulative distributions of the daily travel distance and workplace arrival-departure times respectively are extracted. Using these distributions, the year-round travel data (daily travel distance and workplace arrival-departure times) is created for the desired number of EVs individually. These are used to generate the daily EV charging demand profile at the workplace so that appropriate charging strategies and cost optimisation methods can be tested. The experimental methods used to obtain the required data, from downloading the raw dataset to creating the individual EV's travel data are described in this paper.

The effectiveness of malaria camps as part of the malaria control program in Odisha, India.

Durgama Anchalare Malaria Nirakaran (DAMaN) is a multi-component malaria intervention for hard-to-reach villages in Odisha, India. The main component, malaria camps (MCs), consists of mass screening, treatment, education, and intensified vector control. We evaluated MC effectiveness using a quasi-experimental cluster-assigned stepped-wedge study with a pretest-posttest control group in 15 villages: six immediate (Arm A), six delayed (Arm B), and three previous interventions (Arm C). The primary outcome was PCR + Plasmodium infection prevalence. The time (i.e., baseline vs. follow-up 3) x study arm interaction term shows that there were statistically significant lower odds of PCR + Plasmodium infection in Arm A (AOR = 0.36, 95% CI = 0.17, 0.74) but not Arm C as compared to Arm B at the third follow-up. The cost per person ranged between US$3-8, the cost per tested US$4-9, and the cost per treated US$82-1,614, per camp round. These results suggest that the DAMaN intervention is a promising and financially feasible approach for malaria control.

A cross-sectional study on the nasopharyngeal microbiota of individuals with SARS-CoV-2 infection across three COVID-19 waves in India.

Background: Multiple variants of the SARS-CoV-2 virus have plagued the world through successive waves of infection over the past three years. Independent research groups across geographies have shown that the microbiome composition in COVID-19 positive patients (CP) differs from that of COVID-19 negative individuals (CN). However, these observations were based on limited-sized sample-sets collected primarily from the early days of the pandemic. Here, we study the nasopharyngeal microbiota in COVID-19 patients, wherein the samples have been collected across the three COVID-19 waves witnessed in India, which were driven by different variants of concern. Methods: The nasopharyngeal swabs were collected from 589 subjects providing samples for diagnostics purposes at the Centre for Cellular and Molecular Biology (CSIR-CCMB), Hyderabad, India and subjected to 16s rRNA gene amplicon - based sequencing. Findings: We found variations in the microbiota of symptomatic vs. asymptomatic COVID-19 patients. CP showed a marked shift in the microbial diversity and composition compared to CN, in a wave-dependent manner. Rickettsiaceae was the only family that was noted to be consistently depleted in CP samples across the waves. The genera Staphylococcus, Anhydrobacter, Thermus, and Aerococcus were observed to be highly abundant in the symptomatic CP patients when compared to the asymptomatic group. In general, we observed a decrease in the burden of opportunistic pathogens in the host microbiota during the later waves of infection. Interpretation: To our knowledge, this is the first analytical cross-sectional study of this scale, which was designed to understand the relation between the evolving nature of the virus and the changes in the human nasopharyngeal microbiota. Although no clear signatures were observed, this study shall pave the way for a better understanding of the disease pathophysiology and help gather preliminary evidence on whether interventions to the host microbiota can help in better protection or faster recovery.

Exploring the human microbiome - A step forward for precision medicine in breast cancer.

BACKGROUND: The second most frequent cancer in the world and the most common malignancy in women is breast cancer. Breast cancer is a significant health concern in India with a high mortality-to-incidence ratio and presentation at a younger age. RECENT FINDINGS: Recent studies have identified gut microbiota as a significant factor that can have an influence on the development, treatment, and prognosis of breast cancer. This review article aims to describe the influence of microbial dysbiosis on breast cancer occurrence and the possible interactions between oncobiome and specific breast cancer molecular subtypes. The review further also discusses the role of epigenetics and diet/nutrition in the regulation of the gut and breast microbiome and its association with breast cancer prevention, therapy, and recurrence. Additionally, the recent technological advances in microbiome research, including next-generation sequencing (NGS) technologies, genome sequencing, single-cell sequencing, and microbial metabolomics along with recent advances in artificial intelligence (AI) have also been reviewed. This is an attempt to present a comprehensive status of the microbiome as a key cancer biomarker. CONCLUSION: We believe that correlating microbiome and carcinogenesis is important as it can provide insights into the mechanisms by which microbial dysbiosis can influence cancer development and progression, leading to the potential use of the microbiome as a tool for prognostication and personalized therapy.

Salinity hazard drives the alteration of occupation, land use and ecosystem service in the coastal areas: Evidence from the south-western coastal region of Bangladesh.

Understanding the salinity effects on the rural livelihood and ecosystems services are essential for policy implications and mitigations. Salinity-driven modulation in land use and land cover, community traditional occupations, and ecosystem service have been elucidated in the present investigation. The study was carried out in the south-western region of Bangladesh as a representative case using focus group discussions, questionnaire survey, and remote sensing techniques. The findings showed that salinity-induced land use changes seriously threatened ecosystem services, employment and livelihoods. Shrimp farming was found to have replaced the majority of agricultural and bare lands, which led to the poor locals losing their land. The increasing land transformation to shrimp ponds as a coping strategy with salinity was not reported to be a viable option as maximum marginal poor people were unable to run the capital-intensive shrimp aquaculture. Eventually, many rich people occupied the cropland for shrimp farming which forced the traditional farmers and fishermen to leave their job and sell their labor. Many of the traditional services derived from the ecosystems were drastically reduced or got lost. The ultimate effect on the traditional livelihoods of the communities increased vulnerability and reduced resilience. The findings could aid in formulating realistic policies and action for ensuring the future resilience of the community through an appropriate adaptation strategy, such as introducing salinity-tolerant crops and integrated farming to safeguard the interest of the poor farmers. Despite the geographical locality of the study, its implications are global given the identical salinity concerns in other emerging nations' coastal regions.

First Report of Rhizopus stolonifer Causing Premature Soft Rot of Jackfruit in Bangladesh.

The jackfruit tree (Artocarpus heterophyllus) is native to South and South-east Asia including Bangladesh. It is a commercially important tropical tree species that produces fruit, food, fodder, and high-quality wood (Gupta et al. 2022). During surveys in February 2022, soft rot on immature fruit at approximately 70% incidence was observed in several plantations and homesteads in the Sylhet district of Bangladesh. Infected fruit had black patches surrounded by wide bands of white, powdery masses. The patches enlarged with fruit maturation, and in some cases, covered the entire fruit. Symptomatic fruit were collected, surface sterilized with 70% ethanol for 1 min, and washed 3 times with sterile distilled water. Fen air-dried, and small pieces from the margins of lesions were transferred to potato dextrose agar (PDA). The plates were incubated at 25°C in the dark. Two-day-old colonies had diffuse, gray cottony mycelia that were hyaline and aseptate under the microscope. Sporangiophores measuring 0.6-2.5mm in length and 18 to 23µm in diameter had rhizoids and stolons at their bases. Sporangia were almost spherical and were 125µm (±65µm, n=50) in diameter. Sporangiospores were ellipsoid to ovoid and measured 3.5 to 9.32µm × 2.82 to 5.86µm (x̄= 5.86×4.1µm, n=50). Based on these morphological features, the isolates were identified preliminarily as Rhizopus stolonifer (García-Estrada et al. 2019; Lin et al. 2017). To identify the pathogen molecularly, genomic DNA was extracted using the FavorPrep Fungi/Yeast Genomic DNA extraction Mini Kit (Taiwan). Polymerase chain reaction (PCR) amplification of ITS1-5.8S-ITS2 rDNA was done using primers ITS4 and ITS5 (White et al. 1990) following the procedure of Khan and Bhadauria (2019). The PCR product was then sequenced by Macrogen, Korea. A BLAST search in GenBank revealed that isolate JR02 (GenBank accession OP692731) was 100% identical to R. stolonifer (GenBank accession MT256940). In pathogenicity tests,10 healthy young fruit at a similar maturity stage as the ones found diseased were collected from a orchard where the disease was not observed. Fruit were surface sterilized with 70% ethylalcohol and washed with sterile distilled water. Wounded (using a sterilized needle) and non-wounded fruits were inoculated with 20µl of a spore suspension (1×106/ml). Sterile distilled water was used for the controls. Inoculated fruit were covered with sterile cloth, transferred to perforated plastic bags with moistened blotting paper, and incubated at 25°C in the dark. Symptoms were first observed after 2 days on wounded fruit, but no symptoms developed on controls and non-wounded fruit. Rhizopus stolonifer was re-isolated from infected fruit, thus fulfilling Koch's postulates. Rhizopus rot is a devastating disease causing premature fruit drop, reduced crop yield, and post-harvest rot of jackfruit and other fruits and vegetables (Sabtu et al. 2019). Three Rhizopus species namely R. stolonifer, R. artocarpi and R. oryzae have been reported causing fruit rot of jackfruit in the tropics including Mexico, India and Hawaii (García-Estrada et al., 2019; Babu et al., 2018; Nelson, 2005). Appropriate management strategies are needed to be developed to prevent premature rot of jackfruit. To our knowledge, this is the first report of R. stolonifer causing premature soft rot of jackfruit in Bangladesh.

The effectiveness of malaria camps as part of the malaria control program in Odisha, India.

Durgama Anchalare Malaria Nirakaran (DAMaN) is a multi-component malaria intervention for hard-to-reach villages in Odisha, India. The main component, Malaria Camps (MCs), consists of mass screening, treatment, education, and intensified vector control. We evaluated MC effectiveness using a quasi-experimental cluster-assigned stepped-wedge study with a pretest-posttest control group in 15 villages: six immediate (Arm A), six delayed (Arm B), and three previous interventions (Arm C). The primary outcome was PCR+ Plasmodium infection prevalence. Across all arms, the odds of PCR+ malaria were 54% lower at the third follow-up compared to baseline. A time (i.e., visit) x study arm interaction revealed significantly lower odds of PCR+ malaria in Arm A versus B at the third follow-up. The cost per person ranged between US$3-8, the cost per tested US$4-7, and the cost per treated US$82-1,614, per camp round. These results suggest that the DAMaN intervention is a promising, financially feasible approach for malaria control.

Cytopathological study of cutaneous and subcutaneous mycosis presenting as soft-tissue swellings: A 5-year retrospective study from a tertiary care center in South India.

Objectives: Cutaneous and subcutaneous mycosis can mimic skin and soft-tissue neoplasms clinically and pose diagnostic challenge to pathologists on cytology. Since there are a limited number of studies on this topic from South India and etiological agents vary with geographic region, in this paper, we present clinical and cytological features of the same the objective of this study is to review and evaluate clinical and cytological features of subcutaneous and cutaneous mycosis with histopathological correlation wherever available. Materials and Methods: This was an observational and retrospective study of 5-year duration. All cases diagnosed as mycosis on cytology were retrieved from pathology records. Cytology slides along with special stains for fungus were reviewed. Review of histopathology slides and culture correlation was done whenever available. Statistical analysis was done using frequencies and percentages. Results: There were 39 cases during the study period (male - 34 and female - 5). On aspiration, all cases yielded pus; microscopy revealed necrotic debris in 39 cases, inflammatory infiltrate in 39 cases, epithelioid granulomas with multinucleated giant cells in 25 cases, and negative staining hyphal forms in 37 cases. Special stains for fungus showed septate hyphal forms suggestive of Aspergillus species in 34 cases, and yeast and pseudo hyphal forms of candida species in one case. A broad category as fungal infection without subtyping was given in four cases. Culture did not yield growth but fungus was identified on KOH mounts. Histopathology showed fungus in 13 of 14 cases done. Conclusion: Subcutaneous mycosis should be suspected when aspiration yields pus and appropriate special stains must be done. Aspergillus species was the most common etiological agent in our study.

The use of digital solutions in alleviating the burden of IAPT's waiting times.

BACKGROUND: Previous reports have shown that there are long waiting times to commence therapy in the community-based mental health programme, IAPT (Improving Access to Psychological Therapies). OBJECTIVE: This study aimed to explore both causes and potential solutions to alleviate the burden of these waits. METHODS: A Systematic Literature Review (SLR) and Semi-Structured Interviews (SSIs) were conducted to identify causes and effects of these waits. Consequently, meaningful recommendations were made and tested with the aim of improving IAPT's waiting times. RESULTS: SLR and SSIs revealed high 'Did Not Attend' (DNA) rates and a lack of support between initial appointments as being both a cause and effect of long waits. The identified issues were tackled with the development of an app design. Expert interviews and a mass survey fuelled the iterative process leading to a final prototype. Notable features included: therapist profile page, smart appointment reminders and patient timeline. Positive feedback was received from university students and ICS Digital, with scope to trial the app within Manchester CCG. CONCLUSIONS: In the long run, the app aims to indirectly shorten waiting times by addressing treatment expectations and serving as an IAPT companion along the patient journey, thus reducing anxiety and consequently DNAs.

The effectiveness of malaria camps as part of the Durgama Anchalare Malaria Nirakaran (DAMaN) program in Odisha, India: study protocol for a cluster-assigned quasi-experimental study.

The Indian state of Odisha has a longstanding battle with forest malaria. Many remote and rural villages have poor access to health care, a problem that is exacerbated during the rainy season when malaria transmission is at its peak. Approximately 62% of the rural population consists of tribal groups who are among the communities most negatively impacted by malaria. To address the persistently high rates of malaria in these remote regions, the Odisha State Malaria Control Program introduced 'malaria camps' in 2017 where teams of health workers visit villages to educate the population, enhance vector control methods, and perform village-wide screening and treatment. Malaria rates declined statewide, particularly in forested areas, following the introduction of the malaria camps, but the impact of the intervention is yet to be externally evaluated. This study protocol describes a cluster-assigned quasi-experimental stepped-wedge study with a pretest-posttest control group design that evaluates if malaria camps reduce the prevalence of malaria, compared to control villages which receive the usual malaria control interventions (e.g. IRS, ITNs), as detected by PCR.

Structural aspects of lesional and non-lesional skin microbiota reveal key community changes in leprosy patients from India.

Although skin is the primary affected organ in Leprosy, the role of the skin microbiome in its pathogenesis is not well understood. Recent reports have shown that skin of leprosy patients (LP) harbours perturbed microbiota which grants inflammation and disease progression. Herein, we present the results of nested Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE) which was initially performed for investigating the diversity of bacterial communities from lesional skin (LS) and non-lesional skin (NLS) sites of LP (n = 11). Further, we performed comprehensive analysis of 16S rRNA profiles corresponding to skin samples from participants (n = 90) located in two geographical locations i.e. Hyderabad and Miraj in India. The genus Staphylococcus was observed to be one of the representative bacteria characterizing healthy controls (HC; n = 30), which in contrast was underrepresented in skin microbiota of LP. Taxa affiliated to phyla Firmicutes and Proteobacteria were found to be signatures of HC and LS, respectively. Observed diversity level changes, shifts in core microbiota, and community network structure support the evident dysbiosis in normal skin microbiota due to leprosy. Insights obtained indicate the need for exploring skin microbiota modulation as a potential therapeutic option for leprosy.

Predicting Early Extubation After Liver Transplantation: External Validation and Improved Generalizability of a Proposed Fast-track Score.

BACKGROUND: Early extubation of liver transplantation recipients is a cornerstone of fast-track (FT) pathways. Identifying suitable candidates has previously been accomplished using perioperative variables to develop a FT probability score. The objective of this study was to externally validate a proposed FT score. METHODS: Following Research Ethics Board approval, data were extracted on liver transplants conducted at a single center from 2009 to 2017. Data extracted included patient characteristics, intraoperative variables, and postoperative outcome variables. The proposed FT score utilized 9 variables: age, gender, body mass index, model of end-stage liver disease, retransplant, preoperative hospital admission, blood transfusion, operative time, and vasopressor use. We calculated the FT score in our cohort, and assessed the discrimination and calibration of the model. Score performance was explored by subgroup analyses, customization and altering the outcome definition. RESULTS: The FT score was found to predict higher rates of successful FT than was observed in the external cohort (n = 1385) and had reduced discrimination (area under the receiver operating curve, 0.711; 95% confidence interval, 0.682-0.741) compared with the original internal validation cohort (area under the receiver operating curve, 0.830; 95% confidence interval, 0.789-0.871; P < 0.0001). Discrimination was improved by customizing the transfusion (P < 0.0001) components of the simplified score or by level 1 customization of all regression model coefficients (P < 0.0001). A time-based definition of FT (early extubation) did not alter the accuracy of the prediction score (P = 0.914), improving the model's generalizability. CONCLUSIONS: The proposed FT score may help identify patients suitable for early extubation and FT pathways after liver transplantation in conjunction with clinical judgment.

miRNA- and cytokine-associated extracellular vesicles mediate squamous cell carcinomas.

Exosomes, or small extracellular vesicles (sEVs), serve as intercellular messengers with key roles in normal and pathological processes. Our previous work had demonstrated that Dsg2 expression in squamous cell carcinoma (SCC) cells enhanced both sEV secretion and loading of pro-mitogenic cargo. In this study, using wild-type Dsg2 and a mutant form that is unable to be palmitoylated (Dsg2cacs), we investigated the mechanism by which Dsg2 modulates SCC tumour development and progression through sEVs. We demonstrate that palmitoylation was required for Dsg2 to regulate sub-cellular localisation of lipid raft and endosomal proteins necessary for sEV biogenesis. Pharmacological inhibition of the endosomal pathway abrogated Dsg2-mediated sEV release. In murine xenograft models, Dsg2-expressing cells generated larger xenograft tumours as compared to cells expressing GFP or Dsg2cacs. Co-treatment with sEVs derived from Dsg2-over-expressing cells increased xenograft size. Cytokine profiling revealed, Dsg2 enhanced both soluble and sEV-associated IL-8 and miRNA profiling revealed, Dsg2 down-regulated both cellular and sEV-loaded miR-146a. miR-146a targets IRAK1, a serine-threonine kinase involved in IL-8 signalling. Treatment with a miR-146a inhibitor up-regulated both IRAK1 and IL-8 expression. RNAseq analysis of HNSCC tumours revealed a correlation between Dsg2 and IL-8. Finally, elevated IL-8 plasma levels were detected in a subset of HNSCC patients who did not respond to immune checkpoint therapy, suggesting that these patients may benefit from prior anti-IL-8 treatment. In summary, these results suggest that intercellular communication through cell-cell adhesion, cytokine release and secretion of EVs are coordinated, and critical for tumour growth and development, and may serve as potential prognostic markers to inform treatment options. ABBREVIATIONS: Basal cell carcinomas, BCC; Betacellulin, BTC; 2-bromopalmitate, 2-Bromo; Cluster of differentiation, CD; Cytochrome c oxidase IV, COX IV; Desmoglein 2, Dsg2; Early endosome antigen 1, EEA1; Epidermal growth factor receptor substrate 15, EPS15; Extracellular vesicle, EV; Flotillin 1, Flot1; Glyceraldehyde-3-phosphate dehydrogenase, GAPH; Green fluorescent protein, GFP; Head and neck squamous cell carcinoma, HNSCC; Interleukin-1 receptor-associated kinase 1, IRAK1; Interleukin 8, IL-8; Large EV, lEV; MicroRNA, miR; Palmitoylacyltransferase, PAT; Ras-related protein 7 Rab7; Small EV, sEV; Squamous cell carcinoma, SCC; Tissue inhibitor of metalloproteinases, TIMP; Tumour microenvironment, TME.

Malaria in Sundargarh district, Odisha, India: Epidemiological and behavioral aspects from surveys.

To characterize malaria and assist in prevention efforts, we conducted a series of epidemiological studies in Sundargarh district, India, as part of an NIH-funded International Center of Excellence for Malaria Research. In a published survey around Rourkela in 2013-2014 (N = 1307), malaria prevalence was found to be 8.3%. Using these data, villages were divided into low (<2%), medium (2-10%) and high (>10%) malaria prevalence, and risk factors assessed by type of village. In the six low malaria villages, four persons were positive by PCR; in the four medium malaria villages, prevalence was 7% (35 infections, 7 P. vivax); and in the three high malaria villages, prevalence was 21% (62 infections, 10 P. vivax and 5 mixed with P. vivax and P. falciparum). A total of 30.6% infections were submicroscopic and 40.6% were asymptomatic. Our analyses showed that the rainy season and male gender were risk factors for malaria; in high malaria villages, young age was an additional risk factor, and indoor and outdoor spraying was protective compared to no spraying. We undertook a subsequent behavioral survey in four of the medium and high malaria villages in 2017 to investigate the behavioral aspects of malaria risk. Among 500 participants in 237 households, adult men (15+ years) were more likely to be outside in the evening (34.5% vs. 7.9% among adult women 15+ years and 0.7% among children, p < 0.001), or to sleep outside (7.5% vs. 0.5% and 0%, respectively, p < 0.001). Although women were more likely to get up before 6 a.m. (86.6%, vs. 70.5% among men, 50.7% among children, p < 0.001), men were more likely to be outside in the early morning (77.6% among men, 11.2% among women, and 11.1% among children, p < 0.001). More children used insecticide treated nets the previous night (73.4%) than men (45.6%) or women (39.6%), and repellents were used by 29.5% of 234 households (insecticide creams were not used at all). Malaria control and elimination in India will need local approaches, and the promotion of repellent cream use by at-risk groups could be further explored in addition to mass-screen or treat programs in high-risk villages.

Crosstalk Between Female Gonadal Hormones and Vaginal Microbiota Across Various Phases of Women's Gynecological Lifecycle.

Functional equilibrium between vaginal microbiota and the host is important for maintaining gynecological and reproductive health. Apart from host genetics, infections, changes in diet, life-style and hygiene status are known to affect this delicate state of equilibrium. More importantly, the gonadal hormones strongly influence the overall structure and function of vaginal microbiota. Several studies have attempted to understand (a) the composition of vaginal microbiota in specific stages of women's reproductive cycle as well as in menopause (b) their association with gonadal hormones, and their potential role in manifestation of specific health conditions (from the perspective of cause/consequence). However, a single study that places, in context, the structural variations of the vaginal microbiome across the entire life-span of women's reproductive cycle and during various stages of menopause is currently lacking. With the objective to obtain a holistic overview of the community dynamics of vaginal micro-environment 'across' various stages of women's reproductive and post-reproductive life-cycle, we have performed a meta-analysis of approximately 1,000 vaginal microbiome samples representing various stages of the reproductive cycle and menopausal states. Objectives of this analysis included (a) understanding temporal changes in vaginal community taxonomic structure and composition as women pass through various reproductive and menopausal stages (b) exploring correlations between the levels of female sex hormones with vaginal microbiome diversity (c) analyzing changes in the pattern of community diversity in cases of dysbiotic conditions such as bacterial vaginosis, and viewing the analyzed changes in the context of a healthy state. Results reveal interesting temporal trends with respect to vaginal microbial community diversity and its pattern of correlation with host physiology. Results indicate significant differences in alpha-diversity and overall vaginal microbial community members in various reproductive and post-reproductive phases. In addition to reinforcing the known influence/role of gonadal hormones in maintaining gynecological health, results indicate how hormonal level perturbations cause/contribute to imbalances in vaginal microbiota. The nature of resulting dysbiotic state and its influence on vaginal health is also analyzed and discussed. Results also suggest that elevated vaginal microbial diversity in pregnancy does not necessarily indicate a state of bacterial infection. The study puts forward a hormone-level driven microbiome diversity hypothesis for explaining temporal patterns in vaginal microbial diversity during various stages of women's reproductive cycle and at menopause.

Decoding the microbiome for the development of translational applications: Overview, challenges and pitfalls.

Recent studies have highlighted the potential of 'translational' microbiome research in addressing real-world challenges pertaining to human health, nutrition and disease. Additionally, outcomes of microbiome research have also positively impacted various aspects pertaining to agricultural productivity, fuel or energy requirements, and stability/preservation of various ecological habitats. Microbiome data is multi-dimensional with various types of data comprising nucleic and protein sequences, metabolites as well as various metadata related to host and or environment. This poses a major challenge for computational analysis and interpretation of data to reach meaningful, reproducible (and replicable) biological conclusions. In this review, we first describe various aspects of microbiomes that make them an attractive tool/target for developing various translational applications. The challenge of deciphering signatures from an information-rich resource like the microbiome is also discussed. Subsequently, we present three case-studies that exemplify the potential of microbiome- based solutions in solving real-world problems. The final part of the review attempts to familiarize readers with the importance of a robust study design and the diligence required during every stage of analysis for achieving solutions with potential translational value.

16S rDNA based skin microbiome data of healthy individuals and leprosy patients from India.

Leprosy is an infectious disease that has predilection in skin and peripheral nerves. Skin has its own microbiome, however it is not extensively studied in Indian leprosy patients. Here, by using next-generation 16S rDNA sequencing, we have attempted to assess the skin associated microbial diversity pertaining to affected and unaffected skin of Indian leprosy patients. A total of 90 skin swab samples were collected from 60 individuals (30 healthy controls, 30 patients) residing in Hyderabad and Miraj, two distinct geographical locations in India to assess the homo/heterogeneity of skin microbial signatures. While a large increase in genus Methylobacterium and Pseudomonas was seen in patients from Miraj and Hyderabad respectively, a considerable decrease in genus Staphylococcus in the leprosy patients (as compared to controls) from both geographical locations was also observed. We expect that, these datasets can not-only provide further interesting insights, but will also help to observe dynamics of microbiome in the diseased state and generate hypotheses to test for skin microbiome transplantation studies in leprosy.

PV generation and load profile data of net zero energy homes in South Australia.

This paper presents the hourly Photovoltaic (PV) generation and residential load profiles of a typical South Australian Net Zero Energy (NZE) home. These data are used in the research article entitled "Energy Cost Minimization for Net Zero Energy Homes through Optimal Sizing of Battery Storage System" Sharma et al., 2019. The PV generation data is derived using the publicly accessible renewable ninja web platform by feeding information such as the region of interest, PV system capacity, losses and tilt angle. The raw load profile data is sourced from the Australian Energy Market Operator (AEMO) website, which is further processed and filtered to match the household load requirement. The processing of data has been carried out using Microsoft Excel and MATLAB software. The experimental method used to obtain the required data from the downloaded raw dataset is described in this paper. While the data is generated for the state of South Australia (SA), the method described here can be used to produce datasets for any other Australian state.