Literature search for research planning and identification of research problem

Grewal, Anju; Kataria, Hanish; Dhawan, Ira

doi:10.4103/0019-5049.190618

Cited by 84 publications

(50 citation statements)

References 15 publications

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“…The keyword ‘ Cannabis sativa ’ was used with the Boolean operators AND ‘hemp’ and NOT ‘marijuana’. Using ‘AND’ fetched articles that mention both the words, while using ‘NOT’ fetched articles containing the first word, but not the second, thus narrowing the search (Grewal et al ., ). No time, language or document type restrictions were applied.…”

Section: Methodsmentioning

confidence: 97%

A call for weed research in industrial hemp (Cannabis sativa L)

Sandler

Gibson

2019

Weed Research

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Summary Industrial hemp (Cannabis sativa L.) is grown in more than 30 countries for fibre, seed and flowers, and acreage of cultivation is increasing globally. Hemp has long been promoted as a crop that competes well with weeds and requires little intervention to prevent yield losses. We conducted a literature review and found little peer‐reviewed research to support this claim. We identified only three articles that specifically addressed weed management under field conditions and none provided information on hemp yield losses from weeds. These findings highlight a clear need for research‐based information on interactions between weeds and hemp to address potential yield losses under various production conditions and provide a research‐based framework for weed management in industrial hemp.

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Section: Methodsmentioning

confidence: 97%

A call for weed research in industrial hemp (Cannabis sativa L)

Sandler

Gibson

2019

Weed Research

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“…The PICO in this study was set as follows: Population (P), tuberculosis patient; Intervention (I), GSTM1 or GSTT1 polymorphisms; Comparator (C), gene deletion and wild type; and Outcomes (O), liver injury or hepatotoxicity. The search strategies were constructed by combining search terms using Boolean operators, including 'OR' within the same domain and 'AND' amongst domains (28).…”

Section: Methodsmentioning

confidence: 99%

GSTM1 and GSTT1 genetic polymorphisms and their association with antituberculosis drug‑induced liver injury

et al. 2020

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Antituberculosis (anti-TB) drugs are the most common cause of drug-induced liver injury (DILI). There are numerous studies revealing the associations between the polymorphisms of pharmacogenes and the risk of anti-TB DILI (ATDILI). In the present study, relevant studies regarding the pharmacogenes associated with ATDILI were systematically searched in PubMed and Scopus. A total of 24 genes associated with ATDILI were reported on and the top five reported genes in terms of frequency were revealed to be N-acetyltransferase 2, cytochrome P450 family 2 subfamily E member 1, glutathione S-transferases [glutathione S-transferase mu 1 (GSTM1) and glutathione S-transferase theta 1 (GSTT1)] and solute carrier organic anion transporter family member 1B1. As ATDILI may be the result of direct and indirect interactions, the encoded proteins were further analysed using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) to observe the protein-protein interactions and the associations amongst these proteins. The results suggested that only GSTT1 and GSTM1 were central proteins associated with all the other analysed proteins. Therefore, the association between GSTT1 or GSTM1 and the risk of developing ATDILI were further analysed. The results revealed that a GSTM1 deletion genotype was significantly associated with risk of ATDILI [odds ratio (OR), 1.28; 95% confidence interval (CI), 1.08-1.51; P= 0.004], whereas the GSTT1 deletion genotype and GSTM1/GSTT1 dual-deletion genotype were not significantly associated with risk of ATDILI. Subgroup analysis based on ethnicity was performed and the results demonstrated a significant association between GSTM1 and ATDILI in South Asian individuals (OR, 1.48; 95% CI, 1.12-1.95; P=0.005), which has not been reported previously, to the best of our knowledge. In conclusion, GSTM1 was associated with ATDILI in South Asian individuals.

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“…Various tools have been developed to mine and retrieve data from biomedical literature in relation to the expression levels of certain biomarkers within specific diseases and how they interact to modify the function of various pathways (11). Due to the immense volume of biomedical literature available on NCBI, MeSH terms were introduced to improve the literature search and retrieval process (12). These allow for the retrieval of documents that possess similar content but use various synonyms, abbreviations or wording regarding the same biological term e.g.…”

Section: Introductionmentioning

confidence: 99%

“…These allow for the retrieval of documents that possess similar content but use various synonyms, abbreviations or wording regarding the same biological term e.g. 'preeclampsia' or 'pre-eclampsia,' allowing for the construction of a refined and specific literature search (12). Reactome, a data analysis tool, which contains 10719 human genes interacting into 2102 pathways, was designed to aid in the discovery of biological interactions and reactions occurring under normal physiological and disease conditions (13).…”

Section: Introductionmentioning

confidence: 99%

Overlapping Pathogenic Signalling Pathways and Biomarkers in Preeclampsia and Cardiovascular Disease

Šuvakov

Bonner

Nikolić

et al. 2020

Preprint

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Corresponding authorsHighlights  Women with preeclampsia have increased risk of cardiovascular disease later in life but the mechanism is poorly understood. "In silico" analyses of publically available datasets provided overlapping biomarkers and pathogenic pathways between preeclampsia, hypertension and heart failure with preserved ejection fraction (HFpEF). These data could be utilised in the future studies that may lead to the development of better risk stratification strategies or preventative treatments for women post preeclampsia. AbstractObjectives: Preeclampsia is a cardiovascular pregnancy complication which occurs in 5-10% of pregnancies that can lead to a number of pregnancy complications including maternal and foetal death. Long-term, preeclampsia is associated with up to 8-fold increased risk of cardiovascular disease (CVD) for both mothers and their offspring. The lack of mechanistic data in relation to the causes or consequences of preeclampsia has prevented the development of effective therapeutic or monitoring strategies. Study design:This study investigates common underlying mechanisms of preeclampsia and CVD, specifically hypertension and heart failure with preserved ejection fraction (HFpEF)using "in silico" approach of publicly available datasets. Integrated techniques were designed to mine data repositories and identify relevant biomarkers associated with these three conditions. Main outcomes measures:The knowledge base tools were employed that enabled the analysis of these biomarkers to discover potential molecular and biological links between these three conditions.Results: Our bioinformatics "in silico" analyses of the publically available datasets identified 76 common biomarkers between preeclampsia, hypertension and HFpEF. These biomarkers were representative of 29 pathways commonly enriched across the three conditions which were largely related to inflammation, metabolism, angiogenesis, remodelling, haemostasis, apoptosis, endoplasmic reticulum (ER) stress signalling and the renin-angiotensin-aldosterone (RAAS) system. Conclusions:This bioinformatics approach which uses the wealth of scientific data available in public repositories can be helpful to gain a deeper understanding of the overlapping pathogenic mechanisms of associated diseases, which could be explored as biomarkers or targets to prevent long-term cardiovascular complications such as hypertension and HFpEF following preeclampsia. Abstract word count: 244 wordsMain text word count: 2580 words Total word count: 4653 words

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Literature search for research planning and identification of research problem

Cited by 84 publications

References 15 publications

A call for weed research in industrial hemp (Cannabis sativa L)

A call for weed research in industrial hemp (Cannabis sativa L)

GSTM1 and GSTT1 genetic polymorphisms and their association with antituberculosis drug‑induced liver injury

Overlapping Pathogenic Signalling Pathways and Biomarkers in Preeclampsia and Cardiovascular Disease

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