Double-blind Experiment Research Articles

Effect of buccal fat autotransplantation on improving the alveolar socket bone regeneration: An in-vivo study

BackgroundThere are various materials used for socket preservation following dental extraction. The aim of the present animal study was to histologically investigate the efficacy of buccal fat autotransplantation on alveolar bone regeneration following dental extraction. Study designIn this prospective, double-blind laboratory experiment with a split-mouth design, 16 mandibular second premolar teeth in eight beagle dogs were extracted, and half of the extraction sockets were randomly filled using buccal fat autotransplantation. Other samples were left untouched to heal normally by the formed blood clot. Buccal fat autotransplantation was the primary predictor variable, and the type and amount of newly formed bone were the primary outcome variables. Assessment methods were the H & E coloring technique and histomorphometric evaluation. The significance level was set at 0.05, and data was subjected to Chi-Square and Wilcoxon signed-rank tests using SAS statistical software version 9.4. ResultsFrom the total number of 16 samples in 8 dogs, 50% of the samples in the intervention group represented inflammation with lower intensity compared to 33% in the control group; however, this difference was not considered statistically significant (Chi-Square test, P-value = 0.55). Wilcoxon test results showed no statistically significant difference between the two groups regarding the mean amount of total bone formation (Z = 0.00, P-value = 1.00). ConclusionIt was inferred from the outcomes of the present study that when compared to the normal healing of the socket, buccal fat autotransplantation did not represent with superior outcome concerning the socket bone regeneration.

‘Drivin' with your eyes closed’: Results from an international, blinded simulation experiment to evaluate spatial stock assessments

AbstractSpatial models enable understanding potential redistribution of marine resources associated with ecosystem drivers and climate change. Stock assessment platforms can incorporate spatial processes, but have not been widely implemented or simulation tested. To address this research gap, an international simulation experiment was organized. The study design was blinded to replicate uncertainty similar to a real‐world stock assessment process, and a data‐conditioned, high‐resolution operating model (OM) was used to emulate the spatial dynamics and data for Indian Ocean yellowfin tuna (Thunnus albacares). Six analyst groups developed both single‐region and spatial stock assessment models using an assessment platform of their choice, and then applied each model to the simulated data. Results indicated that across all spatial structures and platforms, assessments were able to adequately recreate the population trends from the OM. Additionally, spatial models were able to estimate regional population trends that generally reflected the true dynamics from the OM, particularly for the regions with higher biomass and fishing pressure. However, a consistent population biomass scaling pattern emerged, where spatial models estimated higher population scale than single‐region models within a given assessment platform. Balancing parsimony and complexity trade‐offs were difficult, but adequate complexity in spatial parametrizations (e.g., allowing time‐ and age‐variation in movement and appropriate tag mixing periods) was critical to model performance. We recommend expanded use of high‐resolution OMs and blinded studies, given their ability to portray realistic performance of assessment models. Moreover, increased support for international simulation experiments is warranted to facilitate dissemination of methodology across organizations.

Effect of silver colloid dressing over conventional dressings in diabetic foot ulcer: A prospective study.

Topical silver treatments and silver dressings are increasingly being utilized for the local treatment of wounds; nevertheless, the evidence for their usefulness is unclear. The aim of this study was to investigate the impact of conventional dressings and silver colloid dressing on diabetic foot ulcers (DFU) with and without compression therapy. This prospective, double-blind experiment included 50 patients with non-ischemic DFUs, split into two groups of 25 patients each. The study was conducted for a period of six months. The primary endpoint was to evaluate the entire epithelialization (total healing) of all ulcers on the study leg. The ulcer area significantly decreased in the colloidal silver group (67.77 ± 17.82%) compared to the conventional saline group (21.70 ± 23.52%). When compared to the conventional group, the colloidal silver group required considerably fewer days to reach the endpoint (23.15 ± 8.15 days vs. 48.35 ± 18.07 days), and by day 14, ulcer area reduction (from 100%) was greater (48% in the silver group vs. 89.69% in the conventional group). In managing DFUs, unstructured hydrogel wound dressings using silver colloids based on ionic silver are more effective than regular saline dressings since they heal wounds more quickly in fewer days while also drastically reducing ulcer areas over time.

Efficacy, safety, and side effects of oliceridine in acute postoperative pain, a protocol for a systematic review and meta-analysis.

This will be the first meta-analysis on the efficacy, safety, and side effects of oliceridine on postoperative pain. Our aim with this work is to evaluate the clinical utility of this relatively new substance in a broad postoperative context. Oliceridine is a new so-called bias opioid that is approved for severe pain requiring an opioid. Due to its biased agonism, it is said to have fewer side effects than conventional opioids. This systematic review and meta-analysis will analyze the efficacy, safety, and side effects of oliceridine compared to placebo or morphine in acute postoperative pain for up to 72 hours. In January 2024, an extensive search in various databases will be performed without restrictions for randomized controlled trials with at least single blinding. After data extraction, data will be pooled and meta-analytic calculations performed. A random-effects model will be used. Dichotomous data will be presented as risk ratio and continuous data as standardized mean difference. Dose-dependent side effects will be evaluated with meta-regression. Heterogeneity will be assessed via the Q statistic and prediction interval in case of a sufficient number of included studies. Publication bias will be examined using funnel plot and Duval and Tweedie's trim and fill method.

Elastic acupuncture needle: a set of one-piece elastic double-blind placebo acupuncture.

The Elastic acupuncture needle, a set of clinical device used in randomized controlled trials of acupuncture is developed, which may potentially obtain the double-blind placebo control. This kind of acupuncture device consists of a real needle and a sham one (placebo needle) with a identical appearance. Either of the needle is composed of an integrated cap-type handle and needle body, and a sterile double-sided adhesive pad is designed on the bottom for fixation. A spring with miniature low profile is built in sham needle. During operation, the real needle can be normally inserted, while the sham one be retracted because of the elasticity generated by the pressure on the skin, but deqi can still be felt by patients whenever the force difference between the skin and the spring reaches a certain balance. The rubber pad designed in this acupuncture needle can simulate the "resistance" felt by operators during needle insertion so that the double blinding is actualized in terms of the appearance and sensations.

Double-blind literary experiment

Double-blind literary experiment

Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning.

Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning method based on cardiac ultrasound video to assist in ASD diagnosis. We chose four standard views in pediatric cardiac ultrasound to identify atrial septal defects; the four standard views were as follows: subcostal sagittal view of the atrium septum (subSAS), apical four-chamber view (A4C), the low parasternal four-chamber view (LPS4C), and parasternal short-axis view of large artery (PSAX). We enlist data from 300 children patients as part of a double-blind experiment for five-fold cross-validation to verify the performance of our model. In addition, data from 30 children patients (15 positives and 15 negatives) are collected for clinician testing and compared to our model test results (these 30 samples do not participate in model training). In our model, we present a block random selection, maximal agreement decision, and frame sampling strategy for training and testing respectively, resNet18 and r3D networks are used to extract the frame features and aggregate them to build a rich video-level representation. We validate our model using our private dataset by five cross-validation. For ASD detection, we achieve AUC, accuracy, sensitivity, specificity, and F1 score. The proposed model is a multiple instances learning-based deep learning model for video atrial septal defect detection which effectively improves ASD detection accuracy when compared to the performances of previous networks and clinical doctors.

Self-supervised multicontrast super-resolution for diffusion-weighted prostate MRI.

This study addresses the challenge of low resolution and signal-to-noise ratio (SNR) in diffusion-weighted images (DWI), which are pivotal for cancer detection. Traditional methods increase SNR at high b-values through multiple acquisitions, but this results in diminished image resolution due to motion-induced variations. Our research aims to enhance spatial resolution by exploiting the global structure within multicontrast DWI scans and millimetric motion between acquisitions. We introduce a novel approach employing a "Perturbation Network" to learn subvoxel-size motions between scans, trained jointly with an implicit neural representation (INR) network. INR encodes the DWI as a continuous volumetric function, treating voxel intensities of low-resolution acquisitions as discrete samples. By evaluating this function with a finer grid, our model predicts higher-resolution signal intensities for intermediate voxel locations. The Perturbation Network's motion-correction efficacy was validated through experiments on biological phantoms and in vivo prostate scans. Quantitative analyses revealed significantly higher structural similarity measures of super-resolution images to ground truth high-resolution images compared to high-order interpolation (p 0.005). In blind qualitative experiments, of super-resolution images were assessed to have superior diagnostic quality compared to interpolated images. High-resolution details in DWI can be obtained without the need for high-resolution training data. One notable advantage of the proposed method is that it does not require a super-resolution training set. This is important in clinical practice because the proposed method can easily be adapted to images with different scanner settings or body parts, whereas the supervised methods do not offer such an option.

The Efficacy of Daily Administration of Nebulized Heparin on the Prevention of Endotracheal Tube Blockage in Patients With Pneumonia.

Nosocomial infections pose a significant public health concern, impacting over 100 million people worldwide annually. Within this research, we investigated heparin nebulization through the endotracheal tube and its effect on preventing blockage due to clots and mucus plugs compared to normal saline. A double-blind clinical experiment was done on a cohort of 40 pneumonia patients who were intubated and hospitalized in theintensive care unit (ICU) at Imam Khomeini Hospital in Ahvaz, Iran. The individuals were randomly assigned to two groups of 20 patients using a random allocation technique. The initial cohort was administered 5000 IU of heparin diluted in 4 ccs of 0.9% normal saline every eight hours via a nebulizer through a tracheal tube. In contrast, the second cohort was given 5 ccs of normal saline as a nebulizer through a tracheal tube. The study compared the incidence of tracheal tube obstruction caused by mucus plug or clot, the occurrence of patient hypoxia resulting in emergency tracheal tube replacement, and the frequency of emergency tracheal tube suction due to partial obstruction caused by mucus plug in both the heparin and saline groups. According to our data, the number of patients in the heparin group who could avoid the need for emergency tracheal tube replacement owing to blockage was more significant than in the ordinary saline group (P=0.013). Heparin was significantly correlated with the number of times emergency suction was required to remove a tracheal tube occlusion (P=0.01). Heparin had no significant effect on coagulation factors (international normalized ratio [INR], platelet[PLT], and partial thromboplastin time [PTT]), Acute Physiology and Chronic Health Evaluation (APACHE) score, pneumonia severity index (PSI), saturation of patients, or tracheal tube secretions. There was no statistically significant difference in total time spent in the intensive care unit (P=0.91). Further studies are suggested to determine the effect of heparin nebulization on preventing endotracheal tube obstruction due to clots and mucus plugs in intubated ICU patients.

Running a double-blind true social experiment with a goal oriented adaptive AI-based conversational agent in educational research

This study introduces an innovative AI-facilitated interview-like survey system generating a combination of qualitative and quantitative data insights for higher education research. We employed a goal oriented adaptive AI-based Conversational Agent (AICA) which collected data directly from 1223 participants globally and ran a double-blind true social experiment online. During interviews, the AI established strong rapport with the participants, offering them personalized guidance while fostering comfort, ownership, and commitment to the study. In this entirely automated experiment, we empirically tested 8 hypotheses related to students' university selection. The results confirmed 5 of these hypotheses while refuting 3 factors previously identified in the literature. The study showcases the potential of AICAs to efficiently collect and analyse data from substantial sample sizes in real-time, fostering a streamlined and harmonious research process producing results that are not only statistically reliable and bias-free but also broadly generalizable.

The "opinion matching effect" (OME): A subtle but powerful new form of influence that is apparently being used on the internet.

In recent years, powerful new forms of influence have been discovered that the internet has made possible. In the present paper, we introduce another new form of influence which we call the "opinion matching effect" (OME). Many websites now promise to help people form opinions about products, political candidates, and political parties by first administering a short quiz and then informing people how closely their answers match product characteristics or the views of a candidate or party. But what if the matching algorithm is biased? We first present data from real opinion matching websites, showing that responding at random to their online quizzes can produce significantly higher proportions of recommendations for one political party or ideology than one would expect by chance. We then describe a randomized, controlled, counterbalanced, double-blind experiment that measured the possible impact of this type of matching on the voting preferences of real, undecided voters. With data obtained from a politically diverse sample of 773 eligible US voters, we observed substantial shifts in voting preferences toward our quiz's favored candidate-between 51% and 95% of the number of people who had supported that candidate before we administered and scored the quiz. These shifts occurred without any participants showing any awareness of having been manipulated. In summary, in the present study we show not only that OME is a large effect; we also show that biased online questionnaires exist that might be shifting people's opinions without their knowledge.

Acute enhancement of Romanian deadlift performance after consumption of caffeinated chewing gum

This study investigates the effect of the consumption of caffeinated chewing gum on the performance of Romanian deadlift on the flywheel training device. A total of 19 participants completed a randomized, cross-over, single-blind experiment with food-grade caffeinated chewing gum trial (CAF) or placebo trail (PL). Gum were chewed for 10 min and rest for 15 min prior to the Romanian deadlift test using the inertial resistance training machine. 5 sets of 6 Romanian deadlifts were performed, with a 3-min rest between sets, followed by a 7-day washout period before the next set of trials. The average power, average force, total peak power, peak concentric power, peak eccentric power, heart rate, and rating of perceived exertion (RPE) for each trials were analyzed using paired-T test. Compared to placebo, caffeinated chewing gum trial enhanced peak concentric power (P = 0.016, Cohen's d = 0.44), peak eccentric power (P = 0.005, Cohen's d = 0.55), average power (P = 0.013, Cohen's d = 0.43), and total work (P = 0.026, Cohen's d = 0.28). However, in average force (P = 0.063, Cohen's d = 0.50), RPE (P = 0.266), and heart rate (P = 0.143), were no significant differences between trials. Caffeinated chewing gum with a dose of caffeine of 200 mg for 10 min may acutely enhance Romanian deadlift performance on the flywheel machine.

Cold stimulation is feasible and has limited aversiveness in healthy, pain-free dogs.

The study aimed to evaluate the applicability and repeatability of cold stimulation in dogs. 10 healthy Beagle dogs were used in a blinded cross-over experiment. Measurements were performed in triplicate at 4 skin locations. The probe was manually placed, and temperature decreased (32 to 10 °C) at different cooling rates (0.5, 1, and 5 °C second-1) and latency was measured (11 °C for 60 seconds). Stimulations were discontinued when avoidance reactions were detected. Thermal threshold or time-to-reaction were recorded. Experiments were performed 3 times per animal in weeks 1 (Exp1), 2 (Exp2), and 5 (Exp3). Feasibility of cold stimulation was scored (0-5). Data were analyzed with mixed logistic regression. No significant differences in number of avoidance reactions between cooling-rates were detected. Significantly more reactions (P < .001) were observed during Exp1 compared to Exp2 and Exp3. Thermal thresholds were 13 ± 2.6 °C, 17.7 ± 4 °C and 16.3 ± 4.6 °C for 5, 0.5 and 1 °C second-1, respectively. Latency to the reaction was determinable in 37% of measurements. The mean time-to-reaction was 13 ± 11 seconds. In 85% of measurements, a feasibility score of 0 (best feasibility) was assigned. The method is easily applicable and well tolerated, but habituation could not be excluded. Overall, the aversiveness of cold stimulation in healthy dogs is limited and it is not possible to recommend a specific protocol. In future studies, it needs to be determined if the aversiveness of cold stimulation is increased in diseased dogs.

Variability of the antithrombotic effect of acetylsalicylic acid with the administration of different dosages: reality or myth?

Abstract Introduction We rely on the antithrombotic effect of acetylsalicylic acid (ASA) in a number of pathologies, although other beneficial effects are known, such as its anti-inflammatory properties, when administered in higher doses (500mg, 1000mg per os). However, whether the anti-inflammatory effect decreases the antithrombotic potency of ASA is not known. This gap in evidence may lead to an unnecessary use of two drugs (one antithrombotic and one anti-inflammatory) that could be replaced by ASA alone. This scenario presents frequently: post-infarct pericarditis or when in doubt between non-ST segment elevation myocardial infarction vs myopericarditis. In such cases, the use of ASA could assure both antithrombotic and anti-inflammatory effects. Since the antithrombotic effect of ASA is not scientifically proved for higher doses, currently we use ASA 100mg as an antithrombotic agent and ibuprofen as an anti-inflammatory. This experimental study intends to assess whether ASA maintains its antithrombotic effect when administered in an anti-inflammatory dose. Methods Twenty healthy volunteers were recruited. They all had their platelet function assessed in a qualitative manner, using PFA-200 Innovance technology. The volunteers were randomized into four groups, with 5 participants each. The participants of groups 1, 2, 3 and 4 ingested ASA 100mg, 300mg, 500mg and 1000mg respectively, in a blind experiment. One hour after ingestion (peak of action), the volunteers’ platelet function was reassessed. PFA-200 evaluates platelet function through platelet occlusion time (OT), which is measured in milliseconds (ms). Normal platelet function translates into OT of 82-150ms. If the OT is higher than 150ms, the patient is anti-aggregated. Results Prior to ASA administration, 19/20 volunteers had OT within the reference range. Afterwards, in all four groups, volunteers reached OT &amp;gt; 150ms, regardless of the ASA dose administered. Mean OT values for each group were 188ms [SD-23] , 205ms [SD-63], 262ms[SD-44] and 232ms [SD-47], respectively. Overall SD was 32ms. Conclusion ASA maintains its antithrombotic effect when administered in an anti-inflammatory dose. There is no clear correlation between the potency of antithrombotic effect and the ASA dose administered. This was a pilot study that supports the maintenance of the antithrombotic effect of ASA in higher doses, but further and larger studies are required to corroborate these results.

Effects of ‘Ice’ flavoured e-cigarettes with synthetic cooling agent WS-23 or menthol on user-reported appeal and sensory attributes

BackgroundThis clinical experiment tested the effects of exposure to e-cigarettes with WS-23 or menthol cooling additives on user appeal and sensory attributes, and, secondarily, whether WS-23 effects generalised across base...

Abstract 15233: Stem Cell Therapy for the Treatment of Chronic Ischemic Heart Disease: A Review

Introduction: Chronic ischemic heart disease remains a major cause of morbidity and mortality. Several clinical trials have been performed to evaluate benefit of stem cells transplantation to restore cardiac function. Aim: The review reports potential benefit of stem cells therapy in chronic ischemic heart disease. Methods: Trials were selected applying as search terms “bone marrow cells”, “stem cells”, “mesenchymal cells”, and “chronic ischemic heart disease” in www.pubmed.gov and Cochrane library from 2005 to 2023. Studies were included if they were randomized blinded trials, randomized unblinded trials, non-randomized trials. Left ventricular ejection fraction (LVEF) increase and New York Heart Association (NYHA) class decrease were the outcome parameters at 6 and 12 months follow up. Results: We analyzed 20 trials including 1812 patients (939 treated, 789 males, mean age 62 years). Bone marrow (BMC), peripheral blood (PBC), cardiac (CDC) or mesenchymal (MES) stem cells were utilized in 8, 5, 7 trials, respectively. Total number of transplanted cells ranged from 5 x 10 6 to 1,300 x 10 6 (median 70 x 10 6 ) depending on cell type, cell population purification, and transplantation route. Transplant procedure was intracoronary in 9 trials and intramyocardial in 11 trials. At baseline mean LVEF was 33.5 % (range 27.1 - 46.0 %). Eleven trials reported a statistically significant percent LVEF increase between 4% to 19% (mean 9.6%) at 12 months after stem cells transplantation ( p values ranging from 0.05 to 0.001). BMC and PBC stem cells were utilized in all these studies. A significant correlation was found between number of transplanted cells and percent LVEF increase (Pearson correlation coefficient 0.74, p = 0.01). Conclusions: Results seem to favor a moderate positive effect of stem cells transplantation in chronic ischemic heart disease at 12 months follow up. The positive effect was correlated with the number of transplanted cells. However, caution should be exercised in the evaluation of clinical trials due to the different stem cells utilized, transplant protocols and endpoints.

Detection of interferon alpha and beta receptor subunit 1 (IFNAR1) loss-of-function Glu386∗ variant by tri-allelic genotyping

Mutations of the human interferon alpha and beta receptor subunit 1 (IFNAR1) gene are associated with severe viral infections. Individuals homozygous for the Glu386∗ variant have impaired type I interferon signalling and can suffer severe illness when exposed to certain viruses and live attenuated virus vaccines. Glu386∗ heterozygotes are clinically unaffected, but can pass the variant allele to their descendants. We aimed to develop an assay that can identify IFNAR1 Glu386∗ homozygotes and heterozygotes to support urgent clinical diagnosis, and that can use dried blood spots (DBS) sent at ambient temperature to overcome geographical logistical challenges in the South Pacific region. The tri-allelic genotyping assay interrogates a single nucleotide polymorphism (rs201609461) located in IFNAR1. The reference allele G encodes for wild-type IFNAR1. Minor alleles A (c.1156G>A) and T (c.1156G>T) encode for Glu386Lys and a truncated IFNAR1 protein (p.Glu386∗), respectively. Synthetic oligonucleotides were mixed in equal molar ratio to create six different genotypes which were randomly assigned to 960 genotyping reactions by R software. Three different fluorescence probes were designed to discriminate the three alleles (G, T and A) within a pair of flanking primers in a single genotyping reaction. The assay discriminated all three alleles using DBS from Guthrie cards randomly spiked with synthetic oligonucleotides. We correctly identified all the different genotypes in 960 reactions in these blinded experiments. These findings validate the genotyping assay for rapidly identifying the IFNAR1 Glu386∗ variant from DBS.

On the Band-Limited Information Throughput of Free-Selective and Free-Responsive Spatially Non-Local Perception

A single-blind experiment was conducted on free-responsive spatially non-local perception of free-selective simple photographic targets. One author (the tasker) chose a photographic target not subjected to a priori compiling, and the other author (the perceiver) attempted to unconventionally perceive the target. Feedback was expected prior to a new target being selected. A hundred trials were completed over 11 months. Thirteen judges offered gradings that collectively projected an apparent information requisition yield (AIRY). The AIRY refers to two aspects of the matching of a taskette (a target’s counterpart) with respect to the target based on fuzzy scales from 0% to 100%, graded with an increment of 10%. The type-I or “tangibility” aspect of matching assessed the extent of the resemblance of a taskette to the target in terms of the shape or structural details of the primary physical entity/event. The type-II or “intangibility” aspect of the matching assessed the degree of the reconstruction of a taskette to the target in terms of the feature or functionality of the predominant physical entity/event. A total of 6 taskettes received &gt;50% grades in both type-I and type-II aspects of matching with their respective targets. This outcome may correspond to an effect size of 1.47 if the chance-expectation may give a benchmark proportion of 3 out of 100 trials producing &gt;50% grades in both type-I and type-II aspects of matching. Patterns indicating target interference associated with two trials entail further investigation. The approaches offer new insights to quantifying the band-limited information throughputs of spatially non-local perception.

Prediction of explosives by a de-broadening model based on RBF neural network

The de-broadening algorithm based on RBFNN is proposed to solve the problems of overlapping peaks and ROI selection in the traditional peak area ratio method. This algorithm is combined with the tagged neutron method for the detection of hidden explosives inside packages and Geant4 is applied for modeling the experimental setup. The broadened energy spectra from 3.5 MeV to 6.8 MeV are chosen as input for the prediction of the unbroadened energy spectra from 3.5 MeV to 6.5 MeV. The result shows that the de-broadening algorithm improves the degree of separation of the samples compared to the peak area ratio method. In the reliability validation of the model, the trained RBFNN can effectively predict the samples within the database and has 99 % identification accuracy in a blind experiment. Meanwhile, the established model predicts other kinds of samples, different masses of samples, and untrained experimental spectra, the good prediction results verify the universality of the model.

Antiobesity Effect of Lactiplantibacillus plantarum Fermented Barley Extracts via the Interactions with Gut Microbiota of the Obese Adult Humans

Extracts of fermented barley with Lactiplantibacillus plantarumdy-1 (LFBE) have been reported to exert antiobesity activity in vivo and in vitro. However, whether it worked in clinical trials remained uncovered. In the current study, we conducted a single-blind experiment by enrolling on some obese adult humans with hyperlipemia to test the effects of products containing LFBE (No. ChiCTR1800019614 by the Chinese Clinical Trial Registry). Results indicated that LFBE intervention could ameliorate the symptoms of the obese, characterized by the decrease of body fat percentage, visceral fat area, and serum lipid levels. More interestingly, products containing the β-glucan ingredients had similar antiobesity effects. 16S rRNA sequencing revealed that LFBE modulated the community structure of the gut microbiota of the obese adults as shown by the diversity analysis. For gut microbiota composition, LFBE significantly increased the Bacteroides genus while decreasing Streptococcus and Haemophilus genus. At the species level, beneficial microorganisms such as Bifidobacterium_longum_subsp_longum, Alistipes_sp_AL-1, Bacteroides_plebeius, and Bacteroides_vulgatus were enriched by LFBE, which was different from the effects of β-glucan. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis indicated that LFBE particularly regulated the steroid biosynthesis and hypertrophic cardiomyopathy pathways. Furthermore, correlation analysis suggested that body fat percentage and visceral fat area were significantly positively correlated with Desulfovibrio and Sutterella, the basal metabolic rate was negatively correlated with Haemophilus, and fasting blood glucose was positively correlated with Dialister. In all, this clinical study demonstrated the antiobesity function of LFBE in humans, probably via its interactions with the gut microbiota, and LFBE could be developed as a prebiotic ingredient with antiobesity effects for a healthy diet. This trial is registered with ChiCTR1800019614.