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Gallbladder

The gallbladder is a small, pear-shaped organ located just beneath the liver.
It serves as a storage reservoir for bile, a digestive fluid produced by the liver.
The gallbladder concentrates and stores bile, releasing it into the small intestine to aid in the digestion and absorption of fats.
Disorders of the gallbladder, such as gallstones, inflammation (cholecystitis), or cancer, can lead to significant health issues and may require surgical intervention.
Reseraching the gallbladder and its associated conditions is an important area of study to improve diagnositc and treatment options for patients.
Optimzed research protocols are crucial for advancing our understanding of gallbladder physiology and pathology.

Most cited protocols related to «Gallbladder»

Three investigators (R.H., M.L., and S.B.) independently reviewed the search results to determine article inclusion and perform data abstraction. Discrepancies were resolved by consensus. For each selected publication, we abstracted year of publication, country, inclusion criteria, histological definition of fatty liver (i.e., simple steatosis and steatohepatitis), number of participants undergoing ultrasound and comparison tests (if applicable), definitions of fatty liver used in the study, ultra-sonographic parameters evaluated, and reported measures of accuracy and reliability. For articles with no reported measure of accuracy, we estimated the sensitivity and specificity from the available data. We evaluated the quality of each article by applying modified Quality Assessment of Diagnostic Accuracy Studies (QUADAS)12 (link) and STAndards for the Reporting of Diagnostic accuracy studies (STARD) criteria.13 (link)Study outcome was the presence of fatty liver as a dichotomous variable, using the specific criteria and definitions used in each study. For ultrasound, a few studies reported four categories, and we combined the normal/mild categories as absence of fatty liver, and the moderate/severe categories as presence of fatty liver. For histology, we used the presence of greater than or equal to 20%-30% fat infiltration to define fatty liver, except for Nagata et al. (≥10%), Guajardo-Salinas (>0%), and Soresi (>5%). We conducted secondary analyses on the diagnostic accuracy using lower levels of fat infiltration on histology as diagnostic criteria (i.e., <5%, ≥10%, and a ≥20%-30%).
Because number of ultrasonographic parameters have been used alone or in combination to diagnose fatty liver; if data were available, we evaluated the diagnostic accuracy of the following parameters: (1) parenchymal brightness, (2) liver-to-kidney contrast, (3) deep beam attenuation, (4) bright vessel walls, and (5) gallbladder wall definition. Given that some studies reported or combined different histological findings, such as inflammation and fibrosis, we performed secondary analyses to study how accurate ultrasound was in identifying fatty infiltration with or without inflammation or fibrosis.
Publication 2011
Blood Vessel Diagnosis Fatty Liver Fibrosis Gallbladder Inflammation Kidney Liver Steatohepatitis Tests, Diagnostic Ultrasonography
The datasets were retrieved from published and unpublished datasets in multiple human tissues, including airways26 ,27 , cornea (personal communication; Lako lab, Newcastle), skeletal muscle (personal communication, Teichmann lab, Wellcome Sanger Insitute and Zhang lab, Sun-Yat-Sen University, Guangzhou, China), ileum28 , colon29 , pancreas30 , liver31 , gallbladder (personal communication; Vallier lab, University of Cambridge), heart (Teichmann lab, Hubner lab/Berlin, Seidmanns/Harvard, and Noseda lab/Imperial College London), kidney32 , placenta/decidua33 , testis34 , prostate gland35 , brain36 , skin37 , retina38 , spleen39 , esophagus39 , and fetal tissues40 ,41 . Raw expression values were normalized and log transformed. We retained the cell clustering based on the original studies when available.
For each dataset where per-cell annotation is not available, we re-processed the data from raw or normalized (whichever was deposited alongside the original publication) quantification matrix. The standard scanpy (version 1.4.3) clustering procedure was followed. When batch information is available, harmony package was used to correct batch effects in the PC space and the corrected PCs were used for computing nearest neighbour graphs. To re-annotate the cells, multiple clusterings of different resolutions were generated among which the one best matching the published clustering was picked and manual annotation was undertaken using marker genes described in the original publication. Full details can be found in analysis notebooks available at github.com/Teichlab/covid19_MS1.
Illustration of the results was generated using scanpy and Seurat (version 3.1). For correlation analysis with ACE2, we performed the Spearman’s correlation with statistical tests using the R Hmisc package (version 4.3-1) and the p values were adjusted with Benjamini-Hochberg method with the R stats package (version 3.6.1) on the Vieira Braga, Kar et al. airway epithelial dataset and the Deprez et al. airway dataset. We also tested multiple additional approaches, including Kendall’s correlation, data transformation by sctransform function in the Seurat package, and data imputation by the Markov Affinity-based Graph Imputation of Cells (MAGIC) algorithm, to compare correlation results. While the imputation significantly improved the correlations, the top genes correlated with ACE2 are largely the same as the analysis done on un-imputed data. With the uncertainty of the extent imputation artificially distorted the data, we reported the results with no imputation even though the correlations are low. The correlation coefficients for all genes are included as Supplementary Data 1. The top 50 genes in each dataset were characterized based on Gene Ontology classes from the Gene Ontology (GO) database and associated pathways in PathCards from the Pathway Unification database.
Publication 2020
ACE2 protein, human Cells Cornea COVID 19 Fetus Gallbladder Genes Heart Homo sapiens Placenta Prostate Skeletal Muscles Tissues
We retrospectively analyzed 451 patients from six tertiary care centers in Japan between November 2005 and November 2011: Sapporo Medical University, Tokyo Medical University, Tokyo Women’s Medical University, Nagoya Daini Red Cross Hospital, Ogaki Municipal Hospital, and Fukuoka University School of Medicine. Consecutive patients who were operated on for cholecystectomy were included during the study period. The “gold standard” for acute cholecystitis in this study was pathological diagnosis using standard gross and histological criteria. We therefore confirmed the final diagnosis by pathological examination of excised gallbladders after operation. If the pathological findings were chronic cholecystitis or other, those cases were considered to be “negative.”
All 451 patients were evaluated using TG07 criteria. The validity of the diagnostic criteria of TG07 was investigated by analyzing their sensitivity and specificity. The severity grading system of TG07 was evaluated by determining the distribution of severity among these patients. Through these data, the Tokyo Guidelines Revision Committee members discussed the quality of diagnostic criteria and severity assessment of acute cholecystitis in TG07 to reassess TG and propose new guidelines.
The literature was selected as follows: using “Tokyo Guidelines” AND “acute cholecystitis[MeSH]”, only 3 items were selected in PubMed since the publication of TG07 (1 April 2007 – 31 March 2012). These articles were screened with “human” and “English”. However, using “acute cholecystitis[MeSH]” AND “prognosis[MeSH]”, a total of 119 items were selected in PubMed over the same length of time. From these articles, the prognostic factors of acute cholecystitis to be utilized for the revision of TG07 were screened by the Tokyo Guidelines Revision Committee members. In addition, the distribution of severity grading was aggregated from the literature which reported the data based on the severity assessment of TG07.
The Tokyo Guidelines Revision Committee discussed the modification of TG07 diagnostic criteria and severity assessment of acute cholecystitis by analyzing the results of the present study and integrating the literature evidence.
Publication 2012
Acute Cholecystitis Cholecystectomy Cholecystitis Committee Members Diagnosis Gallbladder Gold Homo sapiens Patient-Centered Care Patients Prognosis Prognostic Factors Woman
The original NHANES III examination included ultrasonography of the gallbladder at a mobile examination center as a part of the assessment for digestive diseases in adults aged 20 to 74 years. Subsequently, the archived gallbladder ultrasound video images were reviewed to assess fatty liver.(18 ) Three ultrasound reviewers were trained by a board certified radiologist who specialized in hepatic imaging. Evaluation of the fatty liver was performed using the following five criteria: 1) parenchymal brightness, 2) liver to kidney contrast, 3) deep beam attenuation, 4) bright vessel walls, and 5) gallbladder wall definition. The overall assessment, made using an algorithm based on these five criteria, reported normal versus mild, moderate, or severe hepatic steatosis.(18 ) For the purpose of this study, NAFLD was diagnosed in subjects with any degree (mild to severe) of steatosis.
In individuals with NAFLD, serum markers of fibrosis were used to assess severity of fibrosis. These included NFS, APRI and FIB-4. NFS was calculated according to the published formula:
NFS=-1.675+0.037×age(years)+0.094×BMI(kg/m2)+1.13×impairedfastingglycemiaordiabetes(yes=1,no=0)+0.99×AST/ALTratio-0.013×platelet(×109/L)-0.66×albuming/dL).
(12 (link)) Two cutoff points were selected to categorize subjects with NAFLD into three groups, including those with high probability (NFS>0.676), intermediate probability (NFS: 0.676~−1.455) and low probability for advanced fibrosis (NFS<−1.455).(12 (link)) APRI was also calculated by the published formula:
APRI=([AST/upperlimitofnormal]/plateletcount[109/L])×100.
(15 (link)) We used the cut-offs for low and high probability of advanced fibrosis as published, namely 0.5 and 1.5, respectively.(15 (link)) FIB-4 was calculated by the following formula:
FIB-4=(Age[years]×AST[U/L])/(platelet[109/L]×(ALT[U/L])1/2).
Published cut-off values were used to define low (FIB-4<1.30), intermediate and high (FIB-4>2.67) probability of advanced fibrosis.(19 (link))
Publication 2012
Adult Blood Platelets Blood Vessel Digestive System Disorders Fatty Liver Fibrosis Gallbladder Kidney Liver Non-alcoholic Fatty Liver Disease Radiologist Steatohepatitis Ultrasonography
Litters of two-day old New Zealand White infant rabbits with the lactating doe were acquired from a commercial breeder (Milbrook Farm, Amherst, MA). The following day, the infant rabbits were administered cimetidine (50 mg kg−1 via intraperitoneal injection; Hospira, IL) 3 hr prior to oro-gastric inoculation with either 1×109 cfu wild type V. parahaemolyticus, or one of the isogenic mutants, or sodium bicarbonate solution (2.5 g in 100 mL; pH 9) using a size 4 French catheter (Arrow International, Reading, PA). To prepare the inocula, cultures of bacteria grown for ∼18 hr at 30°C were harvested by centrifugation (5 mins 6000 g), and the cell pellet resuspended in sodium bicarbonate solution (pH 9) to a final concentration of 2×109 cfu mL−1. Following inoculation, the infant rabbits were monitored frequently for clinical signs of illness. Disease was scored at euthanasia as follows: no gross disease (no adherent fecal material on fur and intestines appear normal), intestinal fluid (no adherent fecal material on fur but intestines appeared red, swollen and contained fluid), diarrhea (liquid fecal material stains or adheres to fur, and intestines appeared red, swollen and contained fluid). In most experiments, rabbits were euthanized at fixed times after infection (i.e. 12, 18, 28 or 38 hr PI), but rabbits were euthanized prior to these time points if they appeared moribund (categorized as ‘dead’ in Table 1 and Figure 1A). At necropsy, the intestinal tract from the duodenum to the rectum was removed and processed for microbiological, microscopic and histologic analyses. For some rabbits, the internal organs including the gall bladder, spleen and liver were also collected, homogenized and plated on selective media to check for systemic spread of V. parahaemolyticus.
To determine fluid accumulation ratios (FARs), an approx. 5 cm length of the distal small intestine was isolated from the rest of the intestine using silk ligatures. The intestinal section was weighed and then cut every 0.5 cm to release any luminal fluid, and the tissue pieces reweighed. The FAR was calculated as the weight of fluid divided by the weight of the drained tissue. The electrolyte and protein concentrations in serum and diarrheal fluid collected from the ceca of infected rabbits were measured on an Olympus Analyzer (AU-2700) at the Brigham and Woman's Hospital clinical laboratory.
The number of V. parahaemolyticus cfu in tissue samples taken from the small and large intestine, cecum and stool were determined after homogenization, serial dilution and plating on LB media containing 50 µg mL−1 carbenicillin as described previously [24] (link). For unknown reasons, rabbits were occasionally not colonized by the pathogen i.e., no V. parahaemolyticus cfu were detected in any tissue sample. These rabbits (less than 10%, regardless of strain tested) were excluded from all further analyses. However, any rabbits that contained detectable numbers of V. parahaemolyticus cfu in at least one tissue sample were included; for these rabbits, the lower limit of detection was reported for sections where no colonies were detected at the lowest dilution plated, and this value was used in calculation of mean cfu.
For routine histological analyses, tissue segments were fixed in 10% neutral buffered formalin, processed for paraffin embedding and stained with hematoxylin and eosin (H&E). The slides were semi-quantitatively assessed for infiltration of inflammatory cells (heterophils), cell proliferation, and tissue damage by a pathologist blinded to the origin of the tissue. Each histological parameter was evaluated on a 0–4 scale as follows: 0 (normal), 1 (mild), 2 (moderate), 3 (severe) and 4 (severe and extensive).
Publication 2012
Animals Autopsy Bacteria Bicarbonate, Sodium Carbenicillin Catheters Cecum Cell Proliferation Cells Centrifugation Cimetidine Diarrhea Duodenum Electrolytes Eosin Euthanasia Feces Formalin Gallbladder Infant Infection Inflammation Injections, Intraperitoneal Intestines Intestines, Small Large Intestine Ligature Liver Microscopy New Zealand Rabbits Oryctolagus cuniculus pathogenesis Pathologists Patient Holding Stretchers Phenobarbital Rectum Serum Proteins Silk Spleen Staining Stomach Strains Technique, Dilution Tissues Vaccination

Most recents protocols related to «Gallbladder»

A pig was anesthetized with a mixture of alfaxalone (5 mg/kg), xylazine (2 mg/kg), and azaperone (6 mg/kg), and the following procedures were performed.

i) The 12-mm trocar was placed in the umbilicus of the pig and inflated with CO2 gas. Pneumoperitoneum was created and the intraabdominal pressure was maintained below 12 mmHg.

ii) Two additional ports were placed.

iii) The liver and gallbladder were identified under white light, and the gallbladder was pulled to the peritoneum.

iv) Five millimeters of SF solution was infused directly into the gallbladder. A small bile leak from the infused site was identified and clipped.

v) The biliary structures were observed under blue light emitted from an LED light source.

vi) The pig was euthanized at the end of the procedures.

Publication 2023
Abdominal Cavity alfaxalone Azaperone Gallbladder Light Liver Peritoneum Pneumoperitoneum Pressure Trocar Umbilicus Xylazine
This study traced all the patients from the index date, date of transplantation for the HSCT group, and beginning of follow-up for controls until the commencement of secondary malignancies, dropout from the NHI program, or end of 2013. Secondary malignancies were identified by adopting the ICD-9-CM code of 135-154 for colorectal cancer, 155-157 for liver, gall bladder, and pancreatic cancer, 161-162 for laryngeal and lung cancer, 170 for bone cancer, 172 for skin melanoma, 173 for malignant neoplasm of the skin, 174-175 for female and male breast cancer, 176 for cutaneous Kaposi sarcoma, 179-180 for uterus and cervical uterine cancer, 182 for corpus uterine cancer, 185 for prostate cancer, 188-189 for bladder and kidney cancer, and 193 for thyroid cancer.
Publication 2023
Bone Cancer Cancer of Kidney Cancer of Skin Carcinoma, Male Breast Carcinoma, Thyroid Cervical Cancer Colorectal Carcinoma Familial Atypical Mole-Malignant Melanoma Syndrome Gallbladder Kaposi Sarcoma Larynx Liver Lung Cancer Neck Neoplasm Metastasis Pancreatic Cancer Patients Prostate Cancer Transplantation Urinary Bladder Uterine Cancer Uterus Woman
The study design was retrospective cohort study. The study proposal was approved by The Human Research Ethics Committee of Thammasat University (Medicine). The patients, who presented with symptomatic GS or complications of GS, then underwent LC since January 2017 to December 2021 in service of Hepato-Pancreato-Biliary and Transplantation unit in surgery department of Thammasat University Hospital, were considered to be enrolled into this study. The electronic medical record was thoroughly reviewed.
The important information including demographic data, clinical presentation, laboratory results, and radiological findings was collected. The operative time, intraoperative findings, perioperative complications, and conversion to open surgery were reviewed from operative notes. The laparoscopic procedure was carried out through three or four small incisions at umbilical and right upper quadrant areas. The operative time was counted from the opening of the first port-site incision to the closure of the last surgical wounds.
Some cases might be excluded because of the following reasons: (1) patients who underwent LC with other indication such as gallbladder polyp, (2) LC was performed in emergency setting for treatment of acute cholecystitis, and (3) there were any other procedures performed in the same setting of LC such as intraoperative ERCP. By the perioperative information, the patients were categorized into three groups by difficulty grading as given in Table 2.
The univariate analysis was performed using chi-square test for categorical data and Student's t-test for continuous data to define the significant factors affecting on very difficult LC and converted cases. Then multivariate analysis was carried out for both outcomes. Thereafter, the preoperative predictive scores of each patient were calculated using the original Randhawa scoring systems and also the modification of Tongyoo et al. The comparison between scores from both models was performed by many methods such as paired t-test, correlation coefficient, and area under receiver operating characteristic (ROC) curve. All of statistical analyses were performed by IBM SPSS® Statistics version 20 and their results were determined to be significant at P < .05.
Publication 2023
Acute Cholecystitis Conversion to Open Surgery Emergencies Endoscopic Retrograde Cholangiopancreatography Ethics Committees, Research Gallbladder Homo sapiens Laparoscopy Operative Surgical Procedures Patients Pharmaceutical Preparations Polyps Surgical Wound Transplantation Umbilicus X-Rays, Diagnostic
Bile acids were extracted from liver, whole gallbladder bile, whole small intestine with content, and dried feces in 90% ethanol. Briefly, solid tissues and feces were homogenized in 90% ethanol and incubated at 50°C overnight. After centrifugation, the clear supernatant was used for total bile acid measurement with a bile acid assay kit. To collect fecal samples, an individual mouse was placed in a jar briefly and fresh feces were collected. Bile acid pool was calculated as the total bile acids in liver, gallbladder, and small intestine. For LC-MS analysis of bile acid composition, ethanol extracts were dried and then resuspended in injection buffer containing 0.1% formic acid in 1:1 water: mixture of acetonitrile and methanol (1:1) and subsequently analyzed on a Thermo Fisher Scientific UltiMate 3000 UHPLC with a Waters Cortecs C18 column (Waters Acquity UPLC HSS T3 1.8 um, 2.1x150 mm, part No. 186003540) and a TSQ Quantis triple quadrupole mass spectrometer. The running condition is as follow: Solvent A: 0.1% formic acid; Solvent B: 0.1% formic acid in 1:1 methanol: acetonitrile. Flow rate: 0.3 ml/min. Gradient: 52%–90% B in 18 min, 90% to 52%B in 0.1 min, hold for 4 min. Run time: 22 min. TSQ Quantis triple quadrupole mass spectrometer Ion Mode: Ion Source Type: H-ESI; Spray Voltage: Static; Negative Ion (V): 2500; Sheath Gas (Arb): 50; Aux Gas (Arb): 10; Sweep Gas (Arb): 1; Ion Transfer Tube Temp (°C): 325; Vaporizer Temp (°C): 350; Polarity: Negative; Cycle Time (sec): 0.8. Other LC-MS parameters (Retention time, ion monitoring) are listed in supplemental Table S1. Standard curves for bile acids and internal standard glyco-CDCA-d4 (G-CDCA-d4) were generated with purified compounds and relative area under the curve was calculated. To measure T-CDCA-d4 metabolism in fecal slurry mixtures, fresh fecal sample was resuspended in a reaction buffer consisting of 10% PBS (pH=7.4), and 90% 3 mM sodium acetate (pH = 5.2) to a final suspension of 4 mg fecal sample/ml. T-CDCA-d4 was added to a final concentration of 20 μg/ml and the mixture was incubated at 37°C for 6 h. An equal amount of methanol was added and the mixture was incubated on ice for 1 h to precipitate protein. After centrifugation, an aliquot of the supernatant was vacuum dried and resuspended in injection buffer. LC-MS measurement of bile acids was performed as described above.
Publication 2023
acetonitrile Bile Bile Acids Biological Assay Buffers Centrifugation Chenodeoxycholic Acid Ethanol Feces formic acid Gallbladder Intestines, Small Liver Metabolism Methanol Mice, House Proteins Retention (Psychology) Sodium Acetate Solvents Tissues Vacuum Vaporizers
The subjects underwent an abdominal ultrasound examination in the fasting state, and a GBP was defined as a strongly or moderately echogenic nodule protruding from the gallbladder wall into the lumen, which did not move with body position and was not accompanied by a posterior acoustic shadow.3 (link) The diagnosis of fatty liver was based on the Asia-Pacific Guidelines (diffusely enhanced echogenicity liver with liver echogenicity higher than kidney or spleen, vascular blurring, and deep beam attenuation).17 (link) All procedures and diagnostics were performed by experienced ultrasound physicians who were blinded to the clinical and laboratory information of the subjects.
Publication 2023
Abdomen Acoustics Blood Vessel Diagnosis Fatty Liver Gallbladder Kidney Liver Physicians Spleen Ultrasonics

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More about "Gallbladder"

The gallbladder is a small, pear-shaped organ located just beneath the liver.
It serves as a storage reservoir for bile, a digestive fluid produced by the liver.
The gallbladder concentrates and stores bile, releasing it into the small intestine to aid in the digestion and absorption of fats.
Disorders of the gallbladder, such as cholelithiasis (gallstones), cholecystitis (inflammation), or cholangiocarcinoma (gallbladder cancer), can lead to significant health issues and may require surgical intervention.
Researching the gallbladder and its associated conditions is an important area of study to improve diagnostic and treatment options for patients.
Optimized research protocols, such as those involving FBS (Fetal Bovine Serum), Penicillin, TRIzol reagent, DMEM (Dulbecco's Modified Eagle Medium), Streptomycin, MATLAB (Matrix Laboratory), RPMI 1640 medium, TRIzol, LOGIQ Book XP, and IU22 ultrasound system, are crucial for advancing our understanding of gallbladder physiology and pathology.
By utilizing the power of AI-driven platforms like PubCompare.ai, researchers can locate the best protocols from literature, pre-prints, and patents, and identify the most reproducible and accurate methods, improving the quality of their gallbladder studies and experencing the future of research.