Tag: pubmed

BMC Vet Res. 2025 Dec 13;21(1):703. doi: 10.1186/s12917-025-05142-8.

ABSTRACT

BACKGROUND: As common pets, rabbits are frequently brought to veterinarians for examination and medical care. Many diagnostic and surgical treatments require anesthesia, which is linked to a higher perioperative risk in rabbits than in dogs and cats.

OBJECTIVE: To assess the impact of a single 25 mg/kg oral dose of gabapentin on the depth and duration of anesthesia and hemodynamic stability of different anesthetic regimes.

METHODS: Twenty adult healthy New Zealand male rabbits weighing 2.5 ± 0.5 kg were used in this study randomly and equally divided using a computer-generated random number table into four groups: group A (gabapentin/xylazine/ketamine), group B (gabapentin/ketamine), group C (xylazine/ketamine), and group D (ketamine only). All experimental groups were evaluated through assessment of anesthetic depth, vital, hematological, and serum biochemical parameters.

RESULTS: Our data revealed the enhanced reflex suppression and prolonged recovery observed in the anesthetic regime of group (A) with short induction time and prolonged recovery with remarkable muscle relaxation.

LIMITATIONS: The study was limited by a small sample size (n = 20), which may reduce the statistical power and generalizability of the findings. Additionally, postoperative pain assessment using validated scoring tools was not performed, and the results should be interpreted with caution regarding long-term analgesic efficacy.

CONCLUSION: A single oral dose of gabapentin minimizes the ketamine’s catalepsy, reducing its induction time, delaying and improving the recovery.

PMID:41390715 | DOI:10.1186/s12917-025-05142-8

Sci Rep. 2025 Dec 13. doi: 10.1038/s41598-025-28997-1. Online ahead of print.

ABSTRACT

Mosquitoes of the Anopheles, Aedes, and Culex genera are responsible for transmitting major vector-borne diseases. Malaria remains a significant public health concern in Odisha, primarily due to the state’s conducive environment for Anopheles mosquito breeding. This study, conducted between March 2021 and February 2023 across 11 traditionally hyper-endemic districts in southern Odisha, aimed to assess seasonal variations in Anopheles diversity, composition, and abundance. A total of 10,807 Anopheles mosquito’s species were collected manually indoors (house dwellings and cattle sheds) and outdoors (burrows, vegetation, tree holes, and culverts). Morphological identification revealed 18 Anopheles species. An. subpictus was the predominant species during the summer of 2021, with (328; 42.99%), and during the rainy season, with (1151; 46.60%), although its prevalence declined in subsequent years. An. culicifacies, a primary malaria vector, exhibited a consistent presence with (780; 31.58%) in the rainy season of 2021 and (798; 38.35%) in the rainy season of 2022. An. varuna remained scarce during summer and rainy seasons but peaked sharply in winter, with the highest prevalence in winter 2021-2022 (730; 35.56%) and winter 2022-2023 (485; 25.18%). Diversity indices (Shannon’s, Simpson’s, Pielou’s) and Correspondence Analysis identified Ganjam as the district with the highest species diversity (1.26-2.2). Seasonal variation had a statistically significant impact on species diversity (p < 0.001), surpassing the influence of district level factors. These findings show that seasonality strongly influences Anopheles populations and highlight the need for localized, evidence-based vector control. Monitoring of mosquito diversity is vital for shaping malaria interventions suited to Odisha’s transmission ecology.

PMID:41390700 | DOI:10.1038/s41598-025-28997-1

Nat Commun. 2025 Dec 13. doi: 10.1038/s41467-025-67549-z. Online ahead of print.

ABSTRACT

Paddy rice exacerbates climate warming through greenhouse gas emissions but also cools the land surface by enhancing evapotranspiration. While the former effect has received extensive attention, the biophysical cooling effect remains poorly quantified, partly due to the lack of high-quality global paddy rice data. Here, we address this gap by developing a universal rice mapping framework that integrates the strengths of phenology-based and curve-matching methods to construct the global, long-term rice dataset (GlobalRice500) with daily temporal and 500 m spatial resolution. Our analysis reveals that paddy fields annually reduce daytime land surface temperature by 0.21 ($\pm$0.0057)-0.27 ($\pm$0.0063) °C during the growing season compared to other croplands, with stronger cooling observed in larger fields and partial spillover to surrounding landscapes. These findings provide robust evidence of the surface cooling effect of paddy rice and call for a comprehensive evaluation of its role in climate regulation.

PMID:41390686 | DOI:10.1038/s41467-025-67549-z

Nat Commun. 2025 Dec 13. doi: 10.1038/s41467-025-67218-1. Online ahead of print.

ABSTRACT

Inexpensive and accurate genotyping methods are essential to modern genomics and health risk prediction. Here we introduce QUILT2, a scalable and read-aware imputation method that can efficiently use biobank scale haplotype reference panels. This allows for fast and accurate imputation using short reads, as well as long reads (e.g. Oxford Nanopore Technologies (ONT) 1X, r2 = 0.937 at common SNPs), linked-reads and ancient DNA. In addition, QUILT2 contains a methodological innovation that is designed to enable imputation of the maternal and fetal genome using cell free non-invasive prenatal testing (NIPT) data. Using a UK Biobank reference panel and simulated NIPT data, we see accurate imputation of the mother (0.25X, r2 = 0.966, common SNPs) and modest imputation of the fetus (0.25X, r2 = 0.465, fetal fraction of 10%) at low coverage, with fetal imputation accuracy rising with coverage (4.0X, fetal r2 = 0.894). We show using simulated data that this could enable both GWAS and PRS for the mother and fetus, which could create clinical opportunities, and if phenotypes can be collected alongside clinical NIPT, the potential for large GWAS.

PMID:41390671 | DOI:10.1038/s41467-025-67218-1

BMC Pregnancy Childbirth. 2025 Dec 13. doi: 10.1186/s12884-025-08271-y. Online ahead of print.

ABSTRACT

OBJECTIVE: Intrauterine Adhesions (IUA), including Asherman’s Syndrome, are a significant cause of female infertility, while stem cell interventions emerge as a promising therapeutic strategy. This meta-analysis aims to systematically evaluate the effectiveness of stem cell interventions for IUA by analyzing various pregnancy outcomes.

METHODS: This meta-analysis systematically searched five databases (PubMed, Web of Science, EMBASE, Scopus, and ProQuest) to identify clinical studies on stem cell interventions for IUA and endometrial repair. Data on cumulative live birth, biochemical pregnancy, clinical pregnancy, implantation rate, early spontaneous abortions, and ectopic pregnancy were extracted and analyzed. Subgroup analyses were conducted based on disease type and stem cell intervention method.

RESULTS: Out of 211 identified records, 10 studies were included. The overall pooled proportion of cumulative live birth was 0.40 (95% confidence interval (CI): 0.22 to 0.60), with significant heterogeneity (I² = 46.2%). Subgroup analysis showed the highest live birth rates in “General IUA” (0.57) and with “Autologous Cells with Scaffold/Matrix” (0.5632). Controlled trials demonstrated a significant benefit of stem cell therapy for live birth (odds ratio (OR) = 2.2535, 95% CI: 1.1750 to 4.3221). The pooled proportion for cumulative biochemical pregnancy was 0.6053 (95% CI: 0.4445 to 0.7461) with no significant heterogeneity. For cumulative clinical pregnancy, the pooled proportion was 0.4605 (95% CI: 0.3425 to 0.5831), also with significant heterogeneity (I² = 36.9%). “General Intrauterine Adhesion” (0.6250) and “Autologous Cells with Scaffold/Matrix” (0.6207) showed the highest clinical pregnancy rates. Stem cell interventions significantly improved clinical pregnancy rates compared to controls (OR = 3.1277, 95% CI: 1.3802 to 7.0877). The overall implantation rate was 0.1200 (95% CI: 0.0549 to 0.2424). Early spontaneous abortions occurred at a pooled proportion of 0.1705 (95% CI: 0.1055 to 0.2637), and ectopic pregnancies at 0.0568 (95% CI: 0.0238 to 0.1293), with no significant heterogeneity in either.

CONCLUSION: Stem cell therapy appears to be a promising intervention for IUA and endometrial repair, particularly with autologous cells combined with a scaffold, though more high-quality, controlled trials are needed to confirm these findings and optimize treatment protocols.

PMID:41390638 | DOI:10.1186/s12884-025-08271-y

BMC Prim Care. 2025 Dec 13. doi: 10.1186/s12875-025-03145-w. Online ahead of print.

ABSTRACT

BACKGROUND: Scientific conferences reflect trends in Family Medicine research and education. In Germany, the annual congress program of the German Society of General Practice and Family Medicine (DEGAM) encompasses a wide range of topics and is publicly accessible. However, little is known about how research methodologies and topics evolve over time.

METHODS: All program items from the DEGAM conferences from 2014 to 2024 were analyzed. Using the Large Language Model GPT-5, each item was automatically categorized by research methodology and topic. Descriptive statistics were used to summarize trends.

RESULTS: A total of 2,869 program items were identified. Quantitative and interventional studies constituted 53.5% of all methodologies, while qualitative and mixed-methods accounted for 33.1%. The relative proportions remained largely unchanged over the eleven-year period, however future-oriented topics such as eHealth or sustainability do emerge. Although diverse topics were represented, they showed no clear methodological evolution in every topic.

CONCLUSIONS: This first exploratory analysis of a national Family Medicine conference series shows that, while the thematic range is broad, research methodologies remain stable. Therefore, as in patient care, academic Family Medicine is the ‘decathlon’ of health service research, too.

PMID:41390632 | DOI:10.1186/s12875-025-03145-w

BMC Public Health. 2025 Dec 13. doi: 10.1186/s12889-025-25939-4. Online ahead of print.

ABSTRACT

With extreme weather events growing in severity and frequency, interventions aimed at preventing associated health disorders in coastal communities have become salient. Coastal communities are expected to develop coping mechanisms to climate change related stressors. However, these frontline communities may need special assistance to effectively adapt to unprecedented climatic disasters. Existing infrastructure and policy support systems may be inadequate, resulting in residual vulnerabilities that require attention. We examine whether tropical cyclones inflict adverse mental health impacts on coastal communities, and if the negative effect is disproportionately greater in coastal areas relative to non-coastal and coast-adjacent areas. We leverage the landfall and inland penetration of cyclones in India between April 2018-March 2023, and a novel dataset of select mental disorder treatment medicine sales across districts over the five-year period to analyze the cyclone-effect using district-year panel data. We use autoregressive distributed lag (ARDL) models with fixed effects to control for unobserved location-specific and time-specific factors affecting aggregate mental health status at the district level. Our findings suggest that cyclone occurrence negatively affects the mental health of communities in coastal districts, with 144% higher sales in that year; the one-year lagged effect is stronger at 173% higher sales than the contemporaneous effect, and the effect weakens over time. We do not find any statistically significant cyclone-effect in non-coastal districts. The cyclone-effect on coast-adjacent districts appears after a longer lag. Coastal communities already face relatively greater climate risks; our study highlights the additional burden of mental health challenges and calls for greater planning and policy attention to mental health to build resilient communities.

PMID:41390629 | DOI:10.1186/s12889-025-25939-4

Malar J. 2025 Dec 13. doi: 10.1186/s12936-025-05695-x. Online ahead of print.

ABSTRACT

BACKGROUND: Asymptomatic Plasmodium infection is a protozoan disease transmitted by vectors, in which the parasite remains inside the host without causing signs and/or symptoms. It poses a significant challenge to malaria control and elimination efforts due to its role in sustaining silent transmission within communities. Despite ongoing progress toward the 2030 malaria elimination targets, the disease remains a significant public health issue in Ethiopia. Schoolchildren in endemic areas are common carriers of the parasite and deserve special attention, as they represent a highly vulnerable population. As a result, this study determined the prevalence and identified predictors of asymptomatic Plasmodium infection among schoolchildren in the Bahir Dar Zuria District, Northwest Ethiopia.

METHODS: A school-based cross-sectional study was conducted from March to May 2024. It involved 416 schoolchildren selected through systematic random sampling. Data on socio-demographic characteristics and potential predictors were collected using a pre-tested, semi-structured questionnaire administered through face-to-face interviews. To detect Plasmodium parasites, blood samples were analysed using Rapid Diagnostic Tests, capillary Buffy Coat, and blood film. Multilevel, mixed-effect logistic regression analysis was performed to identify predictors associated with the asymptomatic Plasmodium infection. A p-value ≤ 0.05 was considered statistically significant.

RESULTS: The composite prevalence of asymptomatic Plasmodium infection in this study was 3.4% (95% CI: 1.7-6.3). Plasmodium falciparum accounted for 64.3% of cases. Age (Adjusted Odd Ratio, AOR = 3.53; 95% CI: 1.65-6.20; p = 0.001), gender (AOR = 2.87; 95% CI: 1.93-4.28; p = 0.021), presence of stagnant water near the household (AOR = 3.76; 95% CI: 1.48-6.82; p = 0.031), never used long-lasting insecticidal nets (AOR = 2.90, 95% CI: 1.72-3.48; p = 0.007), and a history of malaria infection in the last year (AOR = 2.23 95% CI: 1.420-5.22; p = 0.047) were statistically significantly predictors of asymptomatic Plasmodium infection.

CONCLUSION: This study revealed that asymptomatic schoolchildren serve as significant reservoirs for malaria, challenging elimination efforts. The findings emphasize the need for integrated interventions such as active case detection and treatment, improved long-lasting insecticidal net coverage, and environmental management. Importantly, comprehensive surveillance and seasonal malaria chemoprevention are also recommended to reduce silent transmission and support targeted control strategies.

PMID:41390626 | DOI:10.1186/s12936-025-05695-x

BMC Med Imaging. 2025 Dec 13. doi: 10.1186/s12880-025-02099-w. Online ahead of print.

NO ABSTRACT

PMID:41390620 | DOI:10.1186/s12880-025-02099-w

BMC Genomics. 2025 Dec 13. doi: 10.1186/s12864-025-12313-2. Online ahead of print.

ABSTRACT

Crossover interference (COI) is a widespread feature of homologous meiotic recombination. It can be quantified by the classical coefficient of coincidence (CoC), but this characteristic is highly variable and specific to the pair of chromosomal intervals considered. Several models have been proposed to characterize COI at the chromosomal level. In the gamma model, the strength of interference is characterized by a shape parameter ν. In contrast, the gamma-sprinkled two-pathway model (GS) accounts for both interference-dependent and independent crossover (CO) events by fitting a mixture of gamma distributions with v > 1 and v = 1 with proportions 1-p and p. In reality, COI may vary along the chromosome, resulting in а poor fit of the employed model to the analyzed data. Additional inconsistency can be caused by the common neglect of possible negative crossover interference (NCOI) in the model, although the phenomenon was previously reported for several organisms. We present an extension of the GS model to account for possible NCOI and provide suitable software for estimating the parameters of the extended GS model. On real chromosome data from a conifer (larch, Larix principis-rupprechtii), sugar beet (Beta vulgaris), and wheatgrass (Thinopyrum intermedium), we demonstrate a potential efficient separation of three crossover (CO) processes on chromosomes: CO repulsion (positive COI), CO clustering (negative COI), and independent CO events (no COI).

PMID:41390604 | DOI:10.1186/s12864-025-12313-2