Comparison of In Vivo Study of Co-Polarized and Cross-Polarized Fluorescence Spectroscopy to Co-Minus Cross-Polarized Fluorescence Spectroscopy to Diagnose Precancerous Cervical Lesions by Handheld Probe.

Background: In 2020, the number of new cases of cervix uteri was 604,127, i.e., 3.1% of all cancers, and the number of deaths was 341,831 (3.3%) among both sexes. In vivo fluorescence spectroscopy is an emerging optical technology that offers promise for the diagnosis of disease & has the capability to quickly, noninvasively and quantitatively probe the biochemical and morphological changes that occur as tissue becomes dysplastic. Materials and Method: A cross-sectional observational study was conducted from December 2019 to September 2021 in the OBGY Department, UISEMH, in collaboration with optical imaging laboratory, BIOPHOTONICS, IIT Kanpur. A fabricated in-house fluorescence spectroscope consisting of a laser diode (405 nm) as light source and a miniature spectrometer is used to detect fluorescence signal from the sample. Patient's cervix was examined in the OPD, using an optical handheld probe, which functions on the principle of polarized fluorescence spectroscopy. The tissues were examined and classified on the basis of varying patterns of polarized spectroscopy (co-polarized, cross-polarized and co-minus cross-polarized light). The results were compared with that of cytological, colposcopy and histopathological findings and on various demographic variables. Results and Conclusion: In vivo handheld probe based on polarized fluorescence spectroscopy is an excellent screening technique. Co- and cross- polarized light has shown enhanced accuracy. Accuracy of co-minus cross-polarized light is poor. It is fast, noninvasive and quantitative and, with further developments, has the potential to become a regular screening tool in future.

A smartphone-based standalone fluorescence spectroscopy tool for cervical precancer diagnosis in clinical conditions.

Real-time prediction about the severity of noncommunicable diseases like cancers is a boon for early diagnosis and timely cure. Optical techniques due to their minimally invasive nature provide better alternatives in this context than the conventional techniques. The present study talks about a standalone, field portable smartphone-based device which can classify different grades of cervical cancer on the basis of the spectral differences captured in their intrinsic fluorescence spectra with the help of AI/ML technique. In this study, a total number of 75 patients and volunteers, from hospitals at different geographical locations of India, have been tested and classified with this device. A classification approach employing a hybrid mutual information long short-term memory model has been applied to categorize various subject groups, resulting in an average accuracy, specificity, and sensitivity of 96.56%, 96.76%, and 94.37%, respectively using 10-fold cross-validation. This exploratory study demonstrates the potential of combining smartphone-based technology with fluorescence spectroscopy and artificial intelligence as a diagnostic screening approach which could enhance the detection and screening of cervical cancer.

Cervical pre-cancer classification using entropic features and CNN: In vivo validation with a handheld fluorescence probe.

Cervical cancer is one of the most prevalent forms of cancer, with a lengthy latent period and a gradual onset phase. Conventional techniques are found to be severely lacking in real time detection of disease progression which can greatly enhance the cure rate. Due to their high sensitivity and specificity, optical techniques are emerging as reliable tools, particularly in case of cancer. It has been seen that biochemical changes are better highlighted through intrinsic fluorescence devoid of interference from absorption and scattering. Its effectiveness in in-vivo conditions is affected by the fact that the intrinsic spectral signatures vary from patient to patient, as well as in different population groups. Here, we overcome this limitation by collectively enumerating the subtle changes in the spectral profiles and correlations through an information theory based entropic approach, which significantly amplifies the minute spectral variations. In conjunction with artificial intelligence (AI)/machine learning (ML) tools, it yields high specificity and sensitivity with a small dataset from patients in clinical conditions, without artificial augmentation. We have used an in-house developed handheld probe (i-HHP) for extracting intrinsic fluorescence spectra of human cervix from 110 different subjects drawn from diverse population groups. The average classification accuracy of the proposed methodology using 10-fold cross validation is 93.17%. A combination of polarised fluorescence spectra from i-HHP and the proposed classifier is proven to be minimally invasive with the ability to diagnose patients in real time. This paves the way for effective use of relatively smaller sized sensitive fluorescence data with advanced AI/ML tools for early cervical cancer detection in clinics.

Neuronal activity drives IGF2 expression from pericytes to form long-term memory.

Investigations of memory mechanisms have been, thus far, neuron centric, despite the brain comprising diverse cell types. Using rats and mice, we assessed the cell-type-specific contribution of hippocampal insulin-like growth factor 2 (IGF2), a polypeptide regulated by learning and required for long-term memory formation. The highest level of hippocampal IGF2 was detected in pericytes, the multi-functional mural cells of the microvessels that regulate blood flow, vessel formation, the blood-brain barrier, and immune cell entry into the central nervous system. Learning significantly increased pericytic Igf2 expression in the hippocampus, particularly in the highly vascularized stratum lacunosum moleculare and stratum moleculare layers of the dentate gyrus. Igf2 increases required neuronal activity. Regulated hippocampal Igf2 knockout in pericytes, but not in fibroblasts or neurons, impaired long-term memories and blunted the learning-dependent increase of neuronal immediate early genes (IEGs). Thus, neuronal activity-driven signaling from pericytes to neurons via IGF2 is essential for long-term memory.

Smartphone-based fluorescence spectroscopic device for cervical precancer diagnosis: a random forest classification of in vitro data.

Cervical cancer can be treated and cured if diagnosed at an early stage. Optical devices, developed on smartphone-based platforms, are being tested for this purpose as they are cost-effective, robust, and field portable, showing good efficiency compared to the existing commercial devices. This study reports on the applicability of a 3D printed smartphone-based spectroscopic device (3D-SSD) for the early diagnosis of cervical cancer. The proposed device has the ability to evaluate intrinsic fluorescence (IF) from the collected polarized fluorescence (PF) and elastic-scattering (ES) spectra from cervical tissue samples of different grades. IF spectra of 30 cervical tissue samples have been analyzed and classified using a combination of principal component analysis (PCA) and random forest (RF)-based multi-class classification algorithm with an overall accuracy above 90%. The usage of smartphone for image collection, spectral data analysis, and display makes this device a potential contender for use in clinics as a regular screening tool.

Autophagy-targeted therapy to modulate age-related diseases: Success, pitfalls, and new directions.

Autophagy is a critical metabolic process that supports homeostasis at a basal level and is dynamically regulated in response to various physiological and pathological processes. Autophagy has some etiologic implications that support certain pathological processes due to alterations in the lysosomal-degradative pathway. Some of the conditions related to autophagy play key roles in highly relevant human diseases, e.g., cardiovascular diseases (15.5%), malignant and other neoplasms (9.4%), and neurodegenerative conditions (3.7%). Despite advances in the discovery of new strategies to treat these age-related diseases, autophagy has emerged as a therapeutic option after preclinical and clinical studies. Here, we discuss the pitfalls and success in regulating autophagy initiation and its lysosome-dependent pathway to restore its homeostatic role and mediate therapeutic effects for cancer, neurodegenerative, and cardiac diseases. The main challenge for the development of autophagy regulators for clinical application is the lack of specificity of the repurposed drugs, due to the low pharmacological uniqueness of their target, including those that target the PI3K/AKT/mTOR and AMPK pathway. Then, future efforts must be conducted to deal with this scenery, including the disclosure of key components in the autophagy machinery that may intervene in its therapeutic regulation. Among all efforts, those focusing on the development of novel allosteric inhibitors against autophagy inducers, as well as those targeting autolysosomal function, and their integration into therapeutic regimens should remain a priority for the field.

Autophagy coupled to translation is required for long-term memory.

An increase in protein synthesis following learning is a fundamental and evolutionarily conserved mechanism of long-term memory. To maintain homeostasis, this protein synthesis must be counterbalanced by mechanisms such as protein degradation. Recent studies reported that macroautophagy/autophagy, a major protein degradation mechanism, is required for long-term memory formation. However, how learning regulates autophagy and recruits it into long-term memory formation remains to be established. Here, we show that inhibitory avoidance in rats significantly increases the levels of autophagy and lysosomal degradation proteins, including BECN1/beclin 1, LC3-II, SQSTM1/p62 and LAMP1, as well as autophagic flux in the hippocampus. Moreover, pharmacological inhibition or targeted molecular disruption of the learning-induced autophagy impairs long-term memory, leaving short-term memory intact. The increase in autophagy proteins results from active translation of their mRNA and not from changes in their total mRNA levels. Additionally, the induction of autophagy requires the immediate early gene Arc/Arg3.1. Finally, in contrast to classical regulation of autophagy in other systems, we found that the increase in autophagy upon learning is dispensable for the increase in protein synthesis. We conclude that coupling between learning-induced translation and autophagy, rather than translation per se, is an essential mechanism of long-term memory.Abbreviations: AAV: adeno-associated virus; ARC/ARG3.1: activity regulated cytoskeletal-associated protein; ATG: autophagy related; DG: dentate gyrus; GFP: green fluorescent protein; IA: inhibitory avoidance; LAMP1: lysosomal-associated membrane protein 1; MAP1LC3B/LC3B: microtubule-associated protein 1 light chain 3 beta; ODN: oligodeoxynucleotide; qPCR: quantitative polymerase chain reaction; SBI: SBI0206965; SQSTM1/p62: sequestosome 1; SUnSET: surface sensing of translation; TRAP: translating ribosome affinity purification; ULK1: unc-51 like kinase 1.

Concentration of FAD as a marker for cervical precancer detection.

We report the ex vivo results of an in-house fabricated portable device based on polarized fluorescence measurements in the clinical environment. This device measures the polarized fluorescence and elastic scattering spectra with 405-nm laser and white light sources, respectively. The dominating fluorophore with 405-nm excitation is flavin adenine dinucleotide (FAD) with a fluorescence peak around 510 nm. The measured spectra are highly modulated by the interplay of scattering and absorption effects. Due to this, valuable information gets masked. To reduce these effects, intrinsic fluorescence was extracted by normalizing polarized fluorescence spectra with polarized elastic scattering spectra obtained. A number of fluorophores contribute to the fluorescence spectra and need to be decoupled to understand their roles in the progression of cancer. Nelder-Mead method has been utilized to fit the spectral profile with Gaussian to decouple the different bands of contributing fluorophores (FAD and porphyrin). The change in concentration of FAD during disease progression manifests in the change in ratio of total area to FWHM of its Gaussian profile. Receiver operating characteristic (ROC) curve analysis has been used to discriminate different grades of cervical precancer by using the ratio as input parameter. The sensitivity and specificity for discrimination of normal samples from CIN I (cervical intraepithelial neoplasia) are 75% and 54%, respectively. Further, the normal samples can be discriminated from CIN II samples with 100% and 82% sensitivity and specificity, respectively, and the CIN I from CIN II samples can also be discriminated with 100% sensitivity and 90% specificity, respectively. The results show that the change in the concentration of (FAD) can be used as a marker to discriminate the different grades of the cancer and biochemical changes at an early stage of the cancer can also be monitored with this technique.

Anti-Müllerian hormone receptor type 2 is expressed in gonadotrophs of postpubertal heifers to control gonadotrophin secretion.

Preantral and small antral follicles may secret anti-Müllerian hormone (AMH) to control gonadotrophin secretion from ruminant gonadotrophs. The present study investigated whether the main receptor for AMH, AMH receptor type 2 (AMHR2), is expressed in gonadotrophs of postpubertal heifers to control gonadotrophin secretion. Expression of AMHR2 mRNA was detected in anterior pituitaries (APs) of postpubertal heifers using reverse transcription-polymerase chain reaction. An anti-AMHR2 chicken antibody was developed against the extracellular region near the N-terminus of bovine AMHR2. Western blotting using this antibody detected the expression of AMHR2 protein in APs. Immunofluorescence microscopy using the same antibody visualised colocalisation of AMHR2 with gonadotrophin-releasing hormone (GnRH) receptor on the plasma membrane of gonadotrophs. AP cells were cultured for 3.5 days and then treated with increasing concentrations (0, 1, 10, 100, or 1000pgmL-1) of AMH. AMH (10-1000pgmL-1) stimulated (P<0.05) basal FSH secretion. In addition, AMH (100-1000pgmL-1) weakly stimulated (P<0.05) basal LH secretion. AMH (100-1000pgmL-1) inhibited GnRH-induced FSH secretion, but not GnRH-induced LH secretion, in AP cells. In conclusion, AMHR2 is expressed in gonadotrophs of postpubertal heifers to control gonadotrophin secretion.

Reconsidering the roles of endogenous estrogens and xenoestrogens: the membrane estradiol receptor G protein-coupled receptor 30 (GPR30) mediates the effects of various estrogens.

Estrone (E1) and estriol (E3) are considered "weak" estrogens, which exert suppressive effects through estrogen receptors α and ß. However, recent studies have demonstrated that E1 and E3, as well as estradiol (E2), suppress gonadotropin-releasing hormone-induced luteinizing hormone secretion from bovine gonadotrophs via G-protein-coupled receptor 30, which is expressed in various reproductive organs. Currently, there is a lack of fundamental knowledge regarding E1 and E3, including their blood levels. In addition, xenoestrogens may remain in the body over long time periods because of enterohepatic circulation. Therefore, it is time to reconsider the roles of endogenous estrogens and xenoestrogens for reproduction.

Intrinsic fluorescence for cervical precancer detection using polarized light based in-house fabricated portable device.

An in-house fabricated portable device has been tested to detect cervical precancer through the intrinsic fluorescence from human cervix of the whole uterus in a clinical setting. A previously validated technique based on simultaneously acquired polarized fluorescence and polarized elastic scattering spectra from a turbid medium is used to extract the intrinsic fluorescence. Using a diode laser at 405 nm, intrinsic fluorescence of flavin adenine dinucleotide, which is the dominant fluorophore and other contributing fluorophores in the epithelium of cervical tissue, has been extracted. Different grades of cervical precancer (cervical intraepithelial neoplasia; CIN) have been discriminated using principal component analysis-based Mahalanobis distance and linear discriminant analysis. Normal, CIN I and CIN II samples have been discriminated from one another with high sensitivity and specificity at 95% confidence level. This ex vivo study with cervix of whole uterus samples immediately after hysterectomy in a clinical environment indicates that the in-house fabricated portable device has the potential to be used as a screening tool for in vivo precancer detection using intrinsic fluorescence.

Heifers express G-protein coupled receptor 153 in anterior pituitary gonadotrophs in stage-dependent manner.

We recently found that orphan G-protein-coupled receptor (GPR)153 is expressed in the anterior pituitary (AP) of heifers, leading us to speculate that GPR153 colocalizes with gonadotropin-releasing hormone receptor (GnRHR) in the plasma membrane of gonadotrophs and is expressed at specific times of the reproductive cycle. To test this hypothesis, we examined the coexpression of GnRHR, GPR153, and either luteinizing hormone or follicle-stimulating hormone in AP tissue and cultured AP cells by immunofluorescence microscopy. GPR153 was detected in the gonadotrophs, and was colocalized with GnRHR in the plasma membrane. GPR153 was also detected in the cytoplasm of cultured gonadotrophs. Real-time PCR and western blot analyses found that expression was lower (P < 0.05) in AP tissues during early luteal phase as compared to pre-ovulation or late luteal phases. The 5'-flanking region of the GPR153 gene contained a consensus response element sequence for estrogen, but not for progesterone. These data suggest that some, but not all GPR153 colocalizes with GnRHR in the plasma membrane of gonadotrophs, and its expression changes stage-dependently in the bovine AP.

Effective Screening and Classification of Cervical Precancer Biopsy Imagery.

Microscope images of biopsy samples of cervical precancers conventionally discriminated by histopathology, the current "gold standard" for cancer detection, showed that their correlation properties are segregated into different classes. The correlation domains clearly indicate increasing cellular clustering in different grades of precancer compared with their normal counterparts. This trend indicates the probability of pixel distribution of the corresponding tissue images. Because the cell density is not uniform in the higher grades, the skewness (asymmetry of a distribution), kurtosis (sharpness of a distribution), entropy (randomness), and standard deviation are affected. A combination of these parameters effectively improves the diagnosis and quantitatively classifies the normal and all the three grades of precancerous cervical tissue sections significantly. Thus, the statistical analysis of microscope images is a promising approach for early stage tumor detection and quantitative classification of precancerous grades; this can effectively supplement the qualitative analysis by the pathologist.

Heifers express G-protein coupled receptor 61 in anterior pituitary gonadotrophs in stage-dependent manner.

Gonadotropin-releasing hormone receptors (GnRHRs) colocalize with insulin and glucocorticoid receptors in lipid rafts of the gonadotroph plasma membrane, where they facilitate downstream signaling. We recently found that orphan G-protein-coupled receptor (GPR)61 is expressed in the anterior pituitary (AP) of heifers, leading us to speculate that GPR61 colocalizes with GnRHR in the plasma membrane of gonadotroph and is expressed at specific times of the reproductive cycle. To test this hypothesis, we examined the coexpression of GnRHR, GPR61, and either luteinizing hormone (LH) ß subunit or follicle-stimulating hormone (FSH) ß subunit in AP tissue and cultured AP cells by immunofluorescence microscopy. GPR61 was detected in gonadotrophs, with a majority of them being colocalized with GnRHR and the remainder present at other parts of the cell surface or in the cytoplasm. We obtained a strong positive overlap coefficient (0.71±0.01) between GPR61 and GnRHR on the cell-surface of cultured GnRHR-positive AP cells. Real-time PCR and western blot analyses found that expression was lower (P<0.05) in AP tissues during early luteal phase as compared to pre-ovulation or mid- or late luteal phases. Additionally, the 5ꞌ-flanking region of the GPR61 gene contained several sites with response elements similar to those of estrogen or progesterone. These data suggested that GPR61 colocalizes with GnRHR in the plasma membrane of gonadotrophs, and its expression changes stage-dependently in the bovine anterior pituitary gland.

Deep sequencing of the transcriptome in the anterior pituitary of heifers before and after ovulation.

We aimed to determine gene expression patterns in the anterior pituitary (AP) of heifers before and after ovulation via deep sequencing of the transcriptome (RNA-seq) to identify new genes and clarify important pathways. Heifers were slaughtered on the estrus day (pre-ovulation; n=5) or 3 days after ovulation (post-ovulation; n=5) for AP collection. We randomly selected 4 pre-ovulation and 4 post-ovulation APs, and the ribosomal RNA-depleted poly (A)+RNA were prepared to assemble next-generation sequencing libraries. The bovine APs expressed 12,769 annotated genes at pre- or post-ovulation. The sum of the reads per kilobase of exon model per million mapped reads (RPKM) values of all transcriptomes were 599,676 ± 38,913 and 668,209 ± 23,690, and 32.2 ± 2.6% and 44.0 ± 4.4% of these corresponded to the AP hormones in the APs of pre- and post-ovulation heifers, respectively. The bovine AP showed differential expression of 396 genes (P<0.05) in the pre- and post-ovulation APs. The 396 genes included two G-protein-coupled receptor (GPCR) genes (GPR61 and GPR153) and those encoding 13 binding proteins. The AP also expressed 259 receptor and other 364 binding proteins. Moreover, ingenuity pathway analysis for the 396 genes revealed (P=2.4 × 10-3) a canonical pathway linking GPCR to cytoskeleton reorganization, actin polymerization, microtubule growth, and gene expression. Thus, the present study clarified the novel genes found to be differentially expressed before and after ovulation and clarified an important pathway in the AP.

Method for isolating pure bovine gonadotrophs from anterior pituitary using magnetic nanoparticles and anti-gonadotropin-releasing hormone receptor antibody.

No methods are currently available for rapidly isolating gonadotrophs from the anterior pituitary (AP) in any species. We developed a method for preparing pure bovine gonadotrophs from a heterogeneous AP cell mixture by magnetic separation and our original antibody against the N terminus of bovine gonadotropin-releasing hormone receptor (GnRHR). A bovine AP cell mixture was incubated with the anti-GnRHR antibody, anti-dextran antibody-conjugated secondary antibody and dextran-coated magnetic nanoparticles for magnetic isolation. Approximately 5.2 × 106 cells were isolated per AP of Japanese Black heifers (26 months of age) and cultured, and confocal microscopy confirmed to be GnRHR- and luteinizing hormone-positive, corresponding to a purity of 100%. Approximately 44.5 µg of total protein was extracted from the pure gonadotrophs per AP.

Survey of Ambient Air Pollution Health Risk Assessment Tools.

Designing air quality policies that improve public health can benefit from information about air pollution health risks and impacts, which include respiratory and cardiovascular diseases and premature death. Several computer-based tools help automate air pollution health impact assessments and are being used for a variety of contexts. Expanding information gathered for a May 2014 World Health Organization expert meeting, we survey 12 multinational air pollution health impact assessment tools, categorize them according to key technical and operational characteristics, and identify limitations and challenges. Key characteristics include spatial resolution, pollutants and health effect outcomes evaluated, and method for characterizing population exposure, as well as tool format, accessibility, complexity, and degree of peer review and application in policy contexts. While many of the tools use common data sources for concentration-response associations, population, and baseline mortality rates, they vary in the exposure information source, format, and degree of technical complexity. We find that there is an important tradeoff between technical refinement and accessibility for a broad range of applications. Analysts should apply tools that provide the appropriate geographic scope, resolution, and maximum degree of technical rigor for the intended assessment, within resources constraints. A systematic intercomparison of the tools' inputs, assumptions, calculations, and results would be helpful to determine the appropriateness of each for different types of assessment. Future work would benefit from accounting for multiple uncertainty sources and integrating ambient air pollution health impact assessment tools with those addressing other related health risks (e.g., smoking, indoor pollution, climate change, vehicle accidents, physical activity).

Optical Imaging: Future Tool in Detection of Pre-cancerous and Cancerous Lesions of Cervix and Its Comparison to Colposcopy.

OBJECTIVES: To study the diagnostic potential of optical imaging and its comparison with colposcopy, in detecting early cervical dysplasia. METHODS: The study was conducted on 200 patients attending the outdoor of UISE maternity hospital with symptoms suspicious of cervical lesions. All patients were subjected to colposcopy, followed by histo-pathological examination. Out of all HPE, 18 samples each from normal and dysplastic histology were sent to IIT Physics lab, Kanpur for optical imaging. Statistical analysis was done using sensitivity, specificity, PPV, and NPV. Chi square test was applied to calculate p value. RESULTS: In optical imaging, depolarization images had shown significant changes in the epithelium region of the dysplastic tissue as compared to normal one. It is found that the mean value of depolarization power for normal cervix tissues is less than 0.32, while for dysplastic tissues it is greater than 0.32. CONCLUSION: Optical imaging is fast, non-invasive tool with high sensitivity and specificity, comparable to colposcopy (sensitivity 88.9 vs 100 %, specificity 83.3 vs 86.6 %) and thus is useful in both for screening and diagnosis of cervical dysplasia.

The non-steroidal mycoestrogen zeranol suppresses luteinizing hormone secretion from the anterior pituitary of cattle via the estradiol receptor GPR30 in a rapid, non-genomic manner.

Picomolar concentrations of estradiol produce rapid suppression of GnRH-induced luteinizing hormone (LH) secretion from the anterior pituitary (AP) of cattle via G-protein-coupled receptor 30 (GPR30). Zeranol is a strong estrogenic metabolite derived from zearalenone, a non-steroidal mycoestrogen produced by Fusarium that induces reproductive disorders in domestic animals. The hypothesis was tested that zeranol suppresses GnRH-induced LH release from the AP of cattle via GPR30 in a rapid, non-genomic manner. The AP cells (n=15) were cultured for 3 days in steroid-free conditions and then treated them with estradiol (0.001-10nM) or zeranol (0.001-100nM) for 5min before GnRH stimulation. Pre-treatment with 0.001-0.1nM estradiol suppressed GnRH-stimulated LH secretion. Pre-treatment with zeranol at concentrations of 0.001nM (P<0.01), 0.01nM (P<0.01), 0.1nM (P<0.05), and 1nM (P<0.05), but not at concentrations of 10 and 100nM, also inhibited GnRH-stimulated LH secretion from AP cells. Pre-treatment for 5min with a GPR30-specific antagonist, G36, inhibited estradiol or zeranol suppression of LH secretion from cultured AP cells. Cyclic AMP measurements and quantitative PCR analyses revealed that pre-treatment with small amounts of estradiol (P<0.05) or zeranol (P<0.01) decreased cAMP, but not gene expressions of the LHα, LHß, or FSHß subunits in the AP cells. Hence, zeranol may suppress luteinizing hormone secretion from the AP of cattle via GPR30 in a rapid, non-genomic manner.

Gonadotropin-releasing hormone (GnRH) receptors of cattle aggregate on the surface of gonadotrophs and are increased by elevated GnRH concentrations.

The presence of gonadotropin-releasing hormone (GnRH) receptors (GnRHRs) on gonadotrophs in the anterior pituitary (AP) is an important factor for reproduction control. However, little is known regarding GnRHR gene expression in gonadotrophs of cattle owing to the lack of an appropriate anti-GnRHR antibody. Therefore, an anti-GnRHR antibody for immunohistochemistry, flow cytometry, and immunocytochemistry assays was developed to characterize GnRHR gene expression in gonadotrophs. The anti-GnRHR antibody could suppress GnRH-induced LH secretion from cultured AP cells of cattle. The GnRHR, luteinizing hormone (LH), and follicle stimulating hormone (FSH) in the AP tissue was analyzed by fluorescence immunohistochemistry. The GnRHRs were aggregated on a limited area of the cell surface of gonadotrophs, possibly localized to lipid rafts. The LH secretion was stimulated with increasing amounts of GnRH; however, excessive concentrations (> 1 nM) resulted in a decrease in LH secretion. A novel method to purify gonadotrophs was developed using the anti-GnRHR antibody and fluorescence-activated cell sorting. Flow cytometric analysis using the anti-GnRHR antibody for cultured bovine AP cells, however, failed to support the hypothesis that GnRH induces GnRHR internalization and decreases GnRHR on the surface of GnRHR-positive AP cells. In contrast, immunocytochemistry using primary antibodies for cultured bovine AP cells showed that 10 nM (P < 0.05) and 100 nM (P < 0.01) GnRH, but not 0.01-1 nM GnRH, increased GnRHR in the cytoplasm of LH-positive cells. In conclusion, these data suggested that GnRHRs were aggregated on the surface of gonadotrophs and GnRHR inside gonadotrophs increased with elevated concentrations of GnRH.