This review explores the interplay between COVID-19 and malaria, with a focus on pregnant women. The concurrent infection of SARS-CoV-2 and malaria presents significant challenges in diagnosis, treatment, and management due to overlapping symptoms and complex immune responses. Genetic factors, particularly variations in the angiotensin-converting enzyme 2 (ACE2) receptor, play a crucial role in determining disease susceptibility and severity. Malaria-induced immunomodulation may influence the clinical progression of COVID-19, though the precise impact remains uncertain. The review emphasizes the need for integrated diagnostic and therapeutic approaches to effectively manage co-infections and improve maternal and fetal health outcomes. It underscores the importance of timely intervention and enhanced diagnostic methods to better understand and address these interactions. This review aims to bridge gaps in current knowledge and pave the way for future research and targeted therapeutic interventions, addressing a significant yet often overlooked public health challenge.

The development and progression of breast cancer may be influenced by thyroid hormone levels. In this study, we investigated thyroid function in pre- and postmenopausal women with breast cancer, with and without neoadjuvant chemotherapy (NCh).

Soil-borne fungal diseases threaten crop productivity and quality, and the agricultural sector has long relied on chemicals to manage these pathogens.

New research reveals that softening agents in personal care products like shampoo and conditioner, previously thought harmless, are toxic to small aquatic animals. These positively charged polymers, like polyquaternium, bind to the surface of creatures such as daphnia, impairing their movement and ability to find food, ultimately leading to their death. This affects critical species in freshwater ecosystems. Despite being a multi-billion dollar industry, these substances, currently unregulated, are now under scrutiny by EU authorities, with new regulations anticipated. This groundbreaking study highlights the need for further investigation and potential reformulation of many common products, including those with eco-labels.

Objectives: This systematic review aimed to assess the properties and feasibility of existing risk pre diction models for post-intensive care syndrome outcomes in adult survivors of critical illness. Methods: As of November 1, 2023, Cochrane Library, PubMed, Embase, CINAHL, Web of Science, PsycInfo, China National Knowledge Infrastructure (CNKI), SinoMed, Wanfang database, and China Science and Technology Journal Database (VIP) were searched. Following the literature screening process, we extracted data encompassing participant sources, post-intensive care syndrome (PICS) outcomes, sample sizes, missing data, predictive factors, model development methodologies, and metrics for model per formance and evaluation. We conducted a review and classification of the PICS domains and predictive factors identified in each study. The Prediction Model Risk of Bias Assessment Tool was employed to assess the quality and applicability of the studies. Results: This systematic review included a total of 16 studies, comprising two cognitive impairment studies, four psychological impairment studies, eight physiological impairment studies, and two studies on all three domains. The discriminative ability of prediction models measured by area under the receiver operating characteristic curve was 0.68e0.90. The predictive performance of most models was excellent, but most models were biased and overfitted. All predictive factors tend to encompass age, pre ICU functional impairment, in-ICU experiences, and early-onset new symptoms. Conclusions: This review identified 16 prediction models and the predictive factors for PICS. Nonetheless, due to the numerous methodological and reporting shortcomings identified in the studies under review, clinicians should exercise caution when interpreting the predictions made by these models. To avert the development of PICS, it is imperative for clinicians to closely monitor prognostic factors, including the in ICU experience and early-onset new symptoms.

This review explores the interplay between COVID-19 and malaria, with a focus on pregnant women. The concurrent infection of SARS-CoV-2 and malaria presents significant challenges in diagnosis, treatment, and management due to overlapping symptoms and complex immune responses. Genetic factors, particularly variations in the angiotensin-converting enzyme 2 (ACE2) receptor, play a crucial role in determining disease susceptibility and severity. Malaria-induced immunomodulation may influence the clinical progression of COVID-19, though the precise impact remains uncertain. The review emphasizes the need for integrated diagnostic and therapeutic approaches to effectively manage co-infections and improve maternal and fetal health outcomes. It underscores the importance of timely intervention and enhanced diagnostic methods to better understand and address these interactions. This review aims to bridge gaps in current knowledge and pave the way for future research and targeted therapeutic interventions, addressing a significant yet often overlooked public health challenge.

Chirality is one of the essential attributes of nature. Chiral drugs refer to a class of drugs containing chiral centers, and the molecular stereo-structures of their enantiomers are non-superimposable mirror images of each other. Sixty percent of commonly used drugs, including those from traditional Chinese medicine (TCM), are chiral. Developing a single enantiomer with high efficiency and low toxicity has drawn considerable attention due to significant differences in pharmacological activities, metabolic processes, and toxicity exhibited by the enantiomers of chiral drugs. This review concisely summarizes chiral drugs, including their sources, absolute configuration identification, pharmacological applications, and future research trends, particularly in TCM.

Since the early 20th century, viral infections such as SARS, dengue fever, AIDS, Ebola, influenza and herpes have been among the most common causes of illness and death worldwide. These viruses multiply quickly and lead to epidemics and pandemics. Unfortunately, no drug has been proven to be therapeutically effective in treating or preventing dengue fever. The focus of the review is on computational approaches such as molecular docking and simulation methods to evaluate the stability, inhibition mechanisms and binding interactions of rosmarinic acid (RA) against dengue virus proteins. Based on computational studies, it can be concluded that RA could hinder the spread of dengue virus due to its significant binding and docking affinities with its proteins. Due to its anti-inflammatory properties, broad-spectrum antiviral activity, and desirable low-toxicity pharmacokinetic profile, it is also a viable drug for further experimental validation. The review concludes by discussing how to interpret the in silico data, the shortcomings of the computational method, and the need for further experimental validation to fully explore the potential of RA as a treatment option for dengue.